Podcasts about EQ

The AI revolution is quietly rewriting what makes a leader effective, and most executives haven't noticed. In this episode of DarrenDaily On-Demand, Darren Hardy makes the case that as AI masters technical work, the real advantage shifts from IQ to emotional intelligence, handing women a statistical edge and the greatest leadership opportunity in decades. He contrasts two companies facing identical crises. One leader used pressure and lost millions. The other used empathy and beat revenue targets by 27%. Darren also breaks down five signals that reveal high-EQ talent in any interview, and how to spot the leaders already hiding in plain sight on your team. Join the A-Team. One Mission. One Team. One Standard. Are you ready to #BeTheException -https://darrenhardy.com/careers/ Get more personal mentoring from Darren each day. Go to DarrenDaily at http://darrendaily.com/join to learn more.

Send us Fan MailPart 2 in our Doxa series by apostle Tommy Miller, Legacy Church, New Philadelphia, Ohio. Recorded live July 19, 2026.Doxa, or "glory," is the estimate, opinion or judgment of something. Grace and truth came through Jesus, as well as the glory of our Father — never before seen until Jesus. We partner with that doxa, not the one that was reflected in Moses. Learn more about Legacy Church: https://www.legacychurchint.org/ Follow us on Facebook: https://www.facebook.com/legacychurchoh Follow us on YouTube: http://www.youtube.com/@LegacyChurchOH Sow into what we're doing: https://www.legacychurchint.org/give#doxa #glory #sacredbiology #biodivine #asheissoareweinthisworld #unveiled #conscience #sons #manifestsons #fathers #union #creation #newreality #legacychurchoh #newcreation #jesus #church #jesuschrist #gospel #transfigured #revelator #apostle #deathless #immortality #believe #bible #creator #godisgood #grace #hope #sermonshots #sermonclips #holyspirit #love #godislove #kingdom #shawnryan #peace #freedom #memes #truth #inspiration #motivationalquotes #vibes #positivevibes #christ #jesuslovesyou #russellbrand #jordanbpeterson #joerogan #atm #tommymiller #soulintelligence #EQ #emotionalintelligence Support the show

Unlock the future where quantum computing, AI, and human intelligence collide—discover why the critical skill of emotional quotient (EQ) may soon trump IQ in this fast-evolving landscape. In this captivating episode, Dr. Atif Farid Mohammed, chief AI officer at CyQuint and author of Least Intelligence, takes us on a journey through the depths of quantum physics, AI's limitations, and the profound impact of energy and consciousness on our existence. You'll discover how quantum mechanics reshapes our understanding of reality, the true potential of large language models versus sentient AI, and why learning — in all its forms — remains the ultimate driver of human evolution. We break down complex concepts like decoherence, space folding, and the nature of energy, translating these into practical insights for navigating tomorrow's technological challenges. If you're curious about the mysteries of the universe, the future of AI, or how to harness emotional intelligence in an AI-driven world, this episode is essential listening. Dr. Mohammed's expertise in quantum computing, cybersecurity, and AI ethics provides a rare perspective on the forces shaping our future. Whether you're a tech enthusiast, a futurist, or simply intrigued by the big questions of existence, this episode will leave you inspired and enlightened. Get ready to rethink what you thought you knew about intelligence, consciousness, and the endless possibilities of the quantum era. Tap in now - your leap into the future starts here. I hope you enjoy it!

Think your latest mix is perfect? Cool. Now compare it to a commercial release. That's exactly what Chris and Jody tackle in this week's episode of Inside the Recording Studio, where they explain why reference mixes are one of the best reality checks available to anyone making music. Spoiler alert: using reference tracks isn't cheating. It's something professionals do every day because ears get tired, perspective disappears, and confidence has a funny way of turning into overconfidence. During the episode, Chris and Jody break down how to pick reference tracks that actually help instead of sending you down endless rabbit holes. The goal isn't to clone someone else's sound. It's to understand how your own mix stacks up in the areas that matter most. They explain what you should actually be listening for when making comparisons. Sure, EQ matters, but that's only part of the picture. Balance, dynamics, clarity, depth, and overall presentation all deserve attention if you want mixes that translate outside your studio. The discussion also covers recording setup tips for building reference listening into your workflow without turning every session into an endless cycle of second-guessing. A few smart habits can help you make faster decisions while keeping your creativity intact. Chris and Jody also highlight plugins that make reference monitoring simpler and more efficient. Having dedicated tools can remove unnecessary friction so you spend less time wondering whether your mix is headed in the right direction and more time actually finishing it. Whether your home studio gear consists of a bedroom setup or something considerably larger, these ideas apply to every mixing environment. Better decisions don't come from buying more equipment. They come from listening with purpose. Naturally, the technical discussion comes with the usual Chris and Jody personality, complete with a little nonsense to keep things entertaining before this week's Friday Finds make another appearance. If you've been wondering why your mixes sometimes sound amazing in your room but different everywhere else, this conversation may be exactly the perspective you've been missing. Hit subscribe, keep your favorite reference tracks nearby, and come back next week for more practical recording setup tips that help you mix with greater confidence.   #ReferenceMixes #CriticalListening #HomeStudioGear #RecordingSetupTips #ReferenceTracks #MixingWorkflow #MixBetter #FridayFinds

"I was talking about the Paul is Dead conspiracy theory in class one day and the students began asking me if I knew about THIS theory. And then THIS theory. We went on for 30 minutes and then I did some research. There were so many theories I had never heard of. Hopefully they are new to you as well. We have a long list."

How Mindful Retreats Transform Women's Lives with Hattie HawksThis time, I sit down with Hattie Hawks to talk about the power of emotional intelligence, her Mindful Retreats, storytelling, and how we can create more mindful, connected, and nurturing spaces—both at work and at home.5 Keys You'll Learn in This EpisodeThe Power of Storytelling for Healing - Hear how Hattie Hawks uses storytelling in her podcast and retreats to foster connection and help others process life's ups and downs (01:03).Breaking the Cycle of “Busy” - Discover how learning to slow down and care for your nervous system can dramatically improve your well-being—especially if you're used to putting everyone else's needs first (05:02).Why Environments Matter - Eric Pennington and Hattie Hawks explore how leaders (and all of us, really!) can create spaces that are both productive and nurturing, and why that's absolutely vital—especially for women in high-stress roles (25:20).Intentional Connection in the Tech Age - As life gets busier and technology takes over, intentional relationships become harder…and even more important. Learn simple ways to foster real connection with loved ones and coworkers (35:07).The Stories We Tell Ourselves - Both Eric Pennington and Hattie Hawks get real about how inner narratives (sometimes totally made up!) can hold us back—and how awareness can help us move forward with courage (47:29).This conversation is jam-packed with insights, plenty of laughs, and some touching realness about healing, leadership, and living with intention. Whether you're a leader, a parent, or just someone trying to keep your head above water, there's something here for you.Moments00:00 Exploring mindfulness and stress relief05:25 Creating a calming environment15:08 Balancing dreams with business reality20:09 Importance of self-care and relaxation26:11 Understanding Gender Perspectives on Safety27:20 Discussing safety and trauma impacts37:24 Strengthening intentionality with AI efficiency39:50 Importance of Meaningful Connections45:03 Hesitations about reaching out to guests50:12 Second-guessing and overthinking ideas59:09 Being a mentor and disciplinarian01:04:39 Embracing Uncertainty and Faith01:06:28 Facing challenges head-onHere are a few key takeaways for anyone looking to deepen their own EQ journey or support others:Genuine Connection Beats Busyness: Many of us are feeling more disconnected than ever, even as we scramble to keep up with packed schedules and endless demands. Making time for real conversations and meaningful connections—with family, friends, colleagues, and ourselves—can transform our quality of life and our ability to handle challenges.Psychological Safety Breeds Potential: Creating nurturing environments is not just a “nice to have”—it's essential, especially for women and anyone facing high expectations at work. When we feel safe (emotionally and psychologically), our nervous systems can rest, our creativity thrives, and we're more likely to show up authentically and compassionately.Rewrite Your Inner Narrative: The stories we tell ourselves—about what's possible, what we deserve, what's “normal”—shape our choices and our wellbeing. By being curious and intentional about these stories and having the courage to question them, we open ourselves to transformation. It may feel uncomfortable, but growth starts when we challenge old patterns.In each episode, Jeff and Eric will talk about what emotional intelligence, or understanding your emotions, can do for you in your daily and work life. For more information, contact Eric or Jeff at info@spiritofeq.com or visit their website, Spirit of EQ.You can follow The Spirit of EQ Podcast on Apple Podcasts, Android, or on your favorite podcast player.New episodes are available on the 1st and 3rd Wednesdays every month!Please review our podcast Music from Uppbeathttps://uppbeat.io/t/roo-walker/deeperLicense code: PEYKDJHQNGSZXDUEhttps://creativecommons.org/licenses/by-nd/4.0/Spirit of EQMentioned in this episode:Thanks for listening to Spirit of EQThis podcast was created to be a tool to primarily help you to discover and grow your EQ. Science and our own lived experiences confirm that the better we are at managing our emotions, the better we're going to be at making decisions. Which leads to a better life. And that's something we all want. We're glad that you've taken the time today to listen. We hope that something you hear will lead to a breakthrough. We'd really appreciate a review on your podcast platform. Please leave some comments about what you heard today, as well as follow and subscribe to the podcast. That way, you won't miss a single episode as we continue this journey.

7/15/2026 THE WEALTHY MINDSET: THINKING LIKE A LEGACY BUILDEREPISODE 1824“Before the bank account will grow, a leader must grow themselves, their people skills and then grow their people.” J Loren NorrisThe Wealthy Mindset: Thinking Like a Legacy BuilderTo possess a wealthy mindset in leadership means you have the skills and abilities to access and perceive the most valuable assets, investments and opportunities. Often that means ways for your money to make babies. More often it means investing in the right people. The more we engage tools, the fewer people we may employ. This means the selection process must be even better. Investing in IQ, EQ and PQ will prove to be essential in coming years as AGI attempts to refashion EQ. Focus on resource stewardship, long-term vision, and building people over profits.As Paul Martinelli says often “Most people don't have a resources problem, they have a resourcefulness problem.” Wealthy is less about accumulation and more about execution. RESOURCES MENTIONED IN THIS VIDEO:

7/15/2026 THE WEALTHY MINDSET: THINKING LIKE A LEGACY BUILDEREPISODE 1824“Before the bank account will grow, a leader must grow themselves, their people skills and then grow their people.” J Loren NorrisThe Wealthy Mindset: Thinking Like a Legacy BuilderTo possess a wealthy mindset in leadership means you have the skills and abilities to access and perceive the most valuable assets, investments and opportunities. Often that means ways for your money to make babies. More often it means investing in the right people. The more we engage tools, the fewer people we may employ. This means the selection process must be even better. Investing in IQ, EQ and PQ will prove to be essential in coming years as AGI attempts to refashion EQ. Focus on resource stewardship, long-term vision, and building people over profits.As Paul Martinelli says often “Most people don't have a resources problem, they have a resourcefulness problem.” Wealthy is less about accumulation and more about execution. RESOURCES MENTIONED IN THIS VIDEO:

AI is commoditizing specialization — and the move isn't to specialize harder. It's to elevate. AI is running the 250-year division of labor in reverse, collapsing roles that used to be separate into one.Since Adam Smith's pin factory in 1776, progress meant slicing work into ever-narrower specialties — Babbage extended it to cognitive work, Coase explained why firms hoard coordination to make it pay. Junior and Dr. Tim Clark argue AI has flipped the whole arc. When the cost of coordination falls toward zero and deep expertise gets commoditized by "computational cognition," labor stops dividing and starts converging. At LeaderFactor, three roles that once had nothing to do with each other are merging into one, and the org chart no longer looks conventional.So what do you actually do about it? The episode gives leaders and L&D a practical filter. Every task sorts into what AI can do autonomously, what needs a human in the loop, and what has to stay uniquely human. That maps onto two algorithms: the AI algorithm — process information, identify patterns, generate outputs — and the human algorithm — assign value, exercise judgment, bear responsibility. The instruction is direct: cede the AI algorithm's ground, elevate into the human one, and stop binding your identity to a role that's now perishable. The scarce trait is no longer domain expertise. It's high agency.Chapters00:00 — Is AI reversing the division of labor?01:36 — Adam Smith, the pin factory, and 250 years of specialization04:23 — Babbage brings the division of labor to cognitive work06:22 — Coase: why firms exist and what falling coordination costs change07:46 — When agents talk to agents, coordination cost goes to zero08:18 — The Grand Convergence: how LeaderFactor's org chart changed12:36 — Marginalization forces a choice: elevate or be displaced13:49 — Why "upskilling" is dead — it's access vs. motivation now15:26 — High agency beats domain expertise16:14 — The AI algorithm: process, pattern, generate18:49 — Don't trust the insulation: step changes are coming19:35 — The human algorithm: assign value, judge, bear responsibility20:11 — The practical move: objective → responsibilities → roles23:00 — Filtering roles: autonomous, augmented, uniquely human24:49 — The psychology of a role that keeps changing26:37 — Bind yourself to value creation, not a title28:19 — Recap and final thoughts29:29 — Read Leading Through AI + free skill previewsReady for more? Take a look at our resources below. 

Pippa Hudson speaks to Pascale Bakos, the head of communication for Afrika Tikkun, about the possibility that it’s our emotional development that might be a better predictor of success in life than our cognitive abilities. Lunch with Pippa Hudson is CapeTalk’s mid-afternoon show. This 2-hour respite from hard news encourages the audience to take the time to explore, taste, read and reflect. The show - presented by former journalist, baker and water sports enthusiast Pippa Hudson - is unashamedly lifestyle-driven. Popular features include a daily profile interview #OnTheCouch at 1:10 pm. Consumer issues are in the spotlight every Wednesday while the team also unpacks all things related to health, wealth & the environment. Thank you for listening to a podcast from Lunch with Pippa Hudson Listen live on Primedia+ weekdays between 13:00 and 15:00 (SA Time) to Lunch with Pippa Hudson broadcast on CapeTalk https://buff.ly/NnFM3Nk For more from the show, go to https://buff.ly/MdSlWEs or find all the catch-up podcasts here https://buff.ly/fDJWe69 Subscribe to the CapeTalk Daily and Weekly Newsletters https://buff.ly/sbvVZD5 Follow us on social media: CapeTalk on Facebook: https://www.facebook.com/CapeTalk CapeTalk on TikTok: https://www.tiktok.com/@capetalk CapeTalk on Instagram: https://www.instagram.com/ CapeTalk on X: https://x.com/CapeTalk CapeTalk on YouTube: https://www.youtube.com/@CapeTalk567 See omnystudio.com/listener for privacy information.

Here's the truth: Raising emotionally intelligent kids isn't about making sure they say “please” and “thank you.” It's about raising little humans who can actually handle big feelings, express themselves without melting down (well, most of the time), and build relationships that don't implode at the first sign of conflict. Emotional intelligence (EQ) is the underrated superpower that will serve your kids long after they've forgotten their multiplication tables. From playground drama to career success to healthy adult relationships, EQ is the thread that ties it all together. And while it doesn't come with a manual (seriously, why don't hospitals hand that out with the newborn onesie?), there are some universal truths every parent needs to know. To help us break it down, we're joined by Alyssa Blask Campbell. With years of experience teaching parents and kids how to build emotional awareness, resilience, and connection, Alyssa has made it her mission to help families thrive from the inside out. In this conversation, she shares practical strategies, science-backed insights, and the FACTS about what it really takes to raise kids who can navigate their emotions (instead of being ruled by them). Because let's be honest: you don't just want your kids to be successful — you want them to be good humans. And that starts with emotional intelligence. Thank you to our sponsors! Elevate your summer wardrobe: Go to Quince.com/tiww for free shipping on your order and 365-day returns! Start your risk-free Greenlight trial today at Greenlight.com/TIWW. Don't wait to teach your kids real-world money skills! Go to https://CovePure.com/tiww to get $250 off. Thanks to CovePure for sponsoring this episode! Connect with Alyssa: Website: https://www.seedandsew.org/ Book: https://www.seedandsew.org/book Related Podcast Episodes The Good Mother Myth with Nancy Reddy | 274 How To Build Girls' Confidence with Cyndi Roy Gonzalez | 308 What To Know Before They Go: Collegebound with Dr. Pamela Ellis | 280 Share the Love: If you found this episode insightful, please share it with a friend, tag us on social media, and leave a review on your favorite podcast platform!

Over the next eight episodes, we're diving into The Human Skills, the abilities that separate good leaders from truly great ones. Not soft skills - but human skills. And we're starting at the root of it all: self-awareness. I call it the pixie dust of leadership because it's where everything else begins - your EQ, your impact, your growth. In this episode, I unpack what self-awareness really is (and isn't), why so many leaders think they have it when they don't, the real cost of leading on autopilot, and how you actually build this skill over time. It's not a one-and-done assessment you take and shelve. It's ongoing, it's constant, and it's worth it. If you've never made time for this work, this episode is your invitation. You are the magic. ✨ Angie Robinson Links + Ways to Connect: Show Notes: Episode 235 Show Notes Discover Your Personality Style Quiz [download] Subscribe to my newsletter! Angie Robinson Coaching Website Schedule a free Discovery Call   Angie Robinson LinkedIn Angie Robinson Coaching Instagram Angie Robinson Coaching Facebook 

Send us Fan MailTommy Miller's message from July 12, 2026, when we unpack the Greek word "doxa," which is commonly translated as “glory” in the New Testament. Rather than a mystical cloud or an emotional experience, doxa simply means the thoughts, opinions, reputation, or estimation of a thing. Recorded live in New Philadelphia, Ohio.Tommy Miller is the apostle and co-founder of Legacy Church International and the Legacy Academy of Kingdom Living.Learn more about Legacy Church: https://www.legacychurchint.org/Follow us on Facebook: https://www.facebook.com/legacychurchohFollow us on YouTube: http://www.youtube.com/@LegacyChurchOHSow into what we're doing: https://www.legacychurchint.org/give#doxa #glory #sacredbiology #biodivine #asheissoareweinthisworld #unveiled #conscience #sons #manifestsons #fathers #union #legacychurchoh #newcreation #jesus #church #jesuschrist #gospel #transfigured #revelator #apostle #deathless #immortality #believe #bible #creator #godisgood #grace #hope #sermonshots #sermonclips #holyspirit #love #godislove #kingdom #peace #freedom #memes #truth #inspiration #motivationalquotes #vibes #positivevibes #christ #jesuslovesyou #russellbrand #jordanbpeterson #joerogan #atm #tommymiller #soulintelligence #EQ #emotionalintelligence Support the show

Season 8, Episode 4: She oversees $60 billion in U.S. real estate equity, and she says the old playbook is done. Soultana Reigle is Managing Director and Head of US Equity at PGIM Real Estate, where she leads the firm's $60B US equity platform and serves as Senior Portfolio Manager for its US value-add strategies. PGIM Real Estate manages over $200B in debt and equity globally, and sits within PGIM, the $1.4T asset management arm of Prudential Financial. In this episode, Soultana breaks down how PGIM is deploying capital across the country, why "sharpshooting" specific deals has replaced broad-based sector bets, and where she's finding the best opportunities in today's market. Shoutout to our sponsor, Lennar Investor Marketplace. New construction rental investments with comps, returns, and underwriting built in. TOPICS 00:00 – Introduction 05:31 – Building a $60B Value-Add Platform from Scratch 09:04 – GFC Lessons 13:52 – The "Sharpshooter" Strategy and Sourcing $8B in Deal Flow 15:02 – Senior Housing and Low-Latency Data Center Thesis 25:24 – Buying a San Francisco Office Asset 33:48 – Capital on the Sidelines and Navigating "Higher for Longer" Rates 44:20 – AI Disruption, Career Advice, and why EQ is a Superpower For more episodes of No Cap by CRE Daily visit https://www.credaily.com/podcast/ Watch this episode on YouTube: https://www.youtube.com/@NoCapCREDaily About No Cap Podcast Commercial real estate is a $20 trillion industry and a force that shapes America's economic fabric and culture. No Cap by CRE Daily is the commercial real estate podcast that gives you an unfiltered ”No Cap” look into the industry's biggest trends and the money game behind them. Each week co-hosts Jack Stone and Alex Gornik break down the latest headlines with some of the most influential and entertaining figures in commercial real estate. About CRE Daily  CRE Daily is a digital media company covering the business of commercial real estate. Our mission is to empower professionals with the knowledge they need to make smarter decisions and do more business. We do this through our flagship newsletter (CRE Daily) which is read by 65,000+ investors, developers, brokers, and business leaders across the country. Our smart brevity format combined with need-to-know trends has made us one of the fastest growing media brands in commercial real estate.

In Episode 145, James and Gary discuss issues that arise between the stage and the console. Success starts with a clean stage, from microphone stands to proper cable management, and much more. The hosts offer ways to troubleshoot problems as well as tricks and tips they've picked up along the way. The Church Sound Podcast is sponsored by DiGiCo and Shure.Check out co-host James Attaway's worship audio academy at www.attawayaudio.com/academy, and also visit our new Instagram page @churchsoundpodcast. James is the author of the Live Mixing Field Guide, a quick-start guide to EQ, compression and effects. Find more from him on the Attaway Audio YouTube Channel and at AttawayAudio.com. Reach him on IG @attawayaudio or contact him via email here.Help insure that techs have a clear target for a winning mix with the free guide “How to Lead Your Church Sound Team” by James, and get a walkthrough on setting up virtual sound check on your console with his “Virtual Sound Check Challenge”.Co-host Gary Zandstra has worked in church production as an AV systems integrator and as a manufacturer's rep for more than 35 years. Go here to check out Gary's extensive library of articles on ProSoundWeb.

What if the secret to a better mix isn't boosting more EQ, but cutting the right frequencies? In this episode, Xylo Aria is joined by renowned audio engineer and author Bobby Owsinski to explore the fundamentals of EQ, covering everything from managing low end and avoiding muddiness to using high-pass filters, dynamic EQ, and critical listening. Resources

With James Woodfall, Communication and Behavior Specialist, Raise Your EI As AI makes expertise more accessible, what becomes an advisor's true advantage? EI expert James Woodfall explains why authentic human connection may be the one thing technology can't replicate. In Summary As artificial intelligence reshapes how information is delivered, financial advisors are being challenged to rethink what truly differentiates their value. Mindy Diamond sits down with James Woodfall, a former wealth management business owner turned emotional intelligence expert and founder of Raise Your EI, to explore why emotional intelligence may become one of the profession's greatest competitive advantages. Together, they discuss how rapport, curiosity, and authentic human connection influence trust, referrals, leadership, and client loyalty and why those skills can be developed just like technical expertise. The conversation also examines the difference between AI's “synthetic empathy” and the authentic relationships clients continue to value—and why that distinction matters to financial advisors now more than ever.   The Storyline For decades, advisors have built successful businesses by combining technical expertise with thoughtful financial guidance. But as AI makes information more accessible and planning tools more sophisticated, expertise alone is becoming less of a differentiator. James Woodfall believes the future belongs to advisors who master something technology cannot authentically replicate: human connection. Drawing on his experience as both a former wealth management firm owner and a specialist in communication and behavioral science, James explains why emotional intelligence isn't simply a “soft skill.” It's a business skill that affects nearly every aspect of an advisory practice—from building trust and earning referrals to leading teams and helping clients make difficult decisions. Mindy and James explore why asking better questions matters more than having better answers, how curiosity creates stronger relationships than scripts ever can, and why advisors who create memorable client experiences may find themselves even more valuable in an increasingly automated world. The conversation ultimately reframes AI not as a replacement for advisors, but as a catalyst forcing the profession to rediscover the uniquely human qualities clients have valued all along.   Topics Covered Emotional intelligence as a business skill Building trust through rapport and curiosity Authentic empathy vs. synthetic AI empathy The psychology behind client decision-making Why referrals are rooted in emotional outcomes Coaching advisors to improve communication Leadership and emotional intelligence AI's impact on advisor differentiation Creating premium client experiences Future-proofing advisory businesses > Download a transcript of this episode… Listen and Learn Highlights for Advisors Why do better questions lead to better financial advice? (6:10) James explains why financial planning is only as good as the conversations that precede it—and why understanding a client's fears and aspirations leads to better outcomes than simply gathering financial facts. How does emotional intelligence translate into business growth? (15:30) Rapport isn't simply about making clients feel comfortable. James discusses why advisors who build trust quickly tend to earn more referrals and become significantly more referable. Can emotional intelligence actually be learned? (37:05) Contrary to popular belief, emotional intelligence isn't an innate personality trait. James explains why it is a trainable skill and how advisors can intentionally improve it throughout their careers. What makes authentic empathy different from AI? (39:10) One of the episode's most compelling discussions explores the difference between AI's ability to simulate empathy and the authentic emotional connection that develops between two people. Why should advisors think more about experience than efficiency? (45:10) Clients don't always pay more for information. Often, they pay more for confidence, judgment, reassurance, and the experience of working with someone they trust. Will AI replace advisors or elevate the best ones? (46:55) James shares why he believes AI is more likely to automate routine work while making relationship-centered advisors even more valuable. Key Takeaways Emotional intelligence is a measurable business capability—not simply a personality trait. Stronger client relationships begin with curiosity rather than advice. Advisors who solve emotional concerns make it easier for clients to recommend than advisors who simply deliver technical expertise. AI may replicate information, but authentic trust remains distinctly human. Premium advisory relationships will increasingly be defined by the experience clients receive—not just the answers they're given. Emotional intelligence improves leadership, client retention, referrals, and advisor well-being. The firms that embrace both technology and human connection will likely be best positioned for the future. https://youtu.be/xlQMQm6mqtc Quotable Moments “Rapport building is one of the foundational things for trust building.” “It's not real empathy. It's synthetic empathy.” “If all of our decisions were made on price, Ferrari wouldn't have a business.” “The advisors who create authentic human connection may be the ones who remain untouchable.” FAQs What is emotional intelligence, and why does it matter for financial advisors? James defines emotional intelligence as the ability to recognize, understand, and influence emotions in ourselves and others. For advisors, those skills strengthen communication, trust, leadership, and client relationships. Can emotional intelligence actually be developed? Yes. Unlike IQ, emotional intelligence can be improved through intentional practice, feedback, coaching, and greater self-awareness. Why do referrals have so much to do with emotional intelligence? Clients often remember and recommend how an advisor made them feel more than the technical work performed. Solving emotional concerns creates stories clients naturally share with others. What does James mean by “synthetic empathy”? AI can recognize language patterns and respond empathetically, but it doesn't genuinely experience human emotion. James argues that authentic empathy remains one of an advisor's greatest competitive advantages. How should advisors think about AI? Rather than viewing AI solely as a competitor, advisors should use it to improve efficiency while investing more time in conversations, judgment, and relationships that technology cannot fully replace. What is the biggest mindset shift advisors should make? Stop viewing emotional intelligence as a soft skill. Treat it as a business skill that directly influences growth, leadership, client loyalty, and long-term differentiation. James defines emotional intelligence as the ability to recognize, understand, and influence emotions in ourselves and others. For advisors, those skills strengthen communication, trust, leadership, and client relationships. Yes. Unlike IQ, emotional intelligence can be improved through intentional practice, feedback, coaching, and greater self-awareness. Clients often remember and recommend how an advisor made them feel more than the technical work performed. Solving emotional concerns creates stories clients naturally share with others. AI can recognize language patterns and respond empathetically, but it doesn't genuinely experience human emotion. James argues that authentic empathy remains one of an advisor's greatest competitive advantages. Rather than viewing AI solely as a competitor, advisors should use it to improve efficiency while investing more time in conversations, judgment, and relationships that technology cannot fully replace. Stop viewing emotional intelligence as a soft skill. Treat it as a business skill that directly influences growth, leadership, client loyalty, and long-term differentiation. Related Resources Why AI Matters Now: Filling the Estate Planning Gap with Wealth.com The Paradox of Choice Traps Successful Advisors Freedom vs. Familiarity: Is It Worth Disrupting Comfort for Something That Might Be Better? Guest Bio James Woodfall, founder of Raise Your EI, is a former financial planner who now advises financial services and firms on how they can leverage emotional intelligence (EI) to improve individual and organizational performance. He is the co-author, with Cliff Lansley, of “The Heart of Finance,” which teaches finance professionals to develop the emotional intelligence needed to build effective and profitable client relationships. NOTE: The views and opinions expressed by the guests on this podcast are their own and do not necessarily reflect the views and opinions of Diamond Consultants. Neither Diamond Consultants nor the guests on this podcast are compensated in any way for their participation. View the transcript of this episode… Emotional Intelligence: The “Untouchable” Differentiator in an AI World A conversation with Mindy Diamond and James Woodfall, Communication and Behavior Specialist at Raise Your EI.      Mindy Diamond: Welcome to the latest episode of our podcast series for financial advisors. Today’s episode is Emotional Intelligence: The “Untouchable” Differentiator in an AI World. It’s a conversation with James Woodfall, Communication and Behavior Specialist from Raise Your EI. I’m Mindy Diamond, and this is the Diamond Podcast for Financial Advisors. At Diamond Consultants, we help elite advisors identify the right environment for their businesses to thrive, whether that’s at a wirehouse, boutique, or independent firm. With nearly three decades of experience, we’ve guided thousands of advisors and represented more than a quarter of a trillion dollars in assets transitioned. And each year, one in four advisors managing a billion dollars or more who change firms are our clients. Our process is education driven and based on building relationships, starting as your strategic partner well before you’re even thinking of a move. To schedule a confidential conversation, call us at (908) 879-1002. Wondering why advisors change firms and where they’re headed? Are transition deals going up or down? Those very questions and more inspired us to create our Annual Advisor Transition Report. It’s the award-winning, data-driven resource designed for advisors that connects the dots between the motivations around movement and the firm’s appetite for top talent. Arm yourself with the knowledge you need to make smart decisions. Download your copy at diamond-consultants.com/transitionreport. For years, advisors have competed on expertise, the ability to solve problems, deliver answers, and provide guidance clients couldn’t easily find on their own. But today, those answers are becoming easier to access via artificial intelligence and tools like ChatGPT, Claude, and Perplexity. AI can generate planning ideas, summarize complex topics, and answer questions in seconds. As the technology continues to improve, it raises an important question. If information becomes increasingly commoditized, what will clients continue to value most? My guest today, James Woodfall, is the Founder of the training firm, Raise Your EI, and a former wealth management business owner. James now helps advisors, leaders, and organizations strengthen the communication and behavioral skills that drive trust, influence, and performance. Skills rooted in emotional intelligence or EI, something that AI cannot authentically replicate. What’s interesting about James’s perspective is that he doesn’t view emotional intelligence as a soft skill. He views it as a business skill, one that impacts how advisors build rapport, earn referrals, lead teams, deepen client relationships, and ultimately differentiate themselves in an increasingly competitive marketplace that includes human and machine-driven advice. Our conversation explores why rapport is the foundation of trust, how emotional intelligence can be developed like any other professional skill, and why advisors who learn to create authentic human connection may be best positioned to thrive alongside AI, not compete against it. Or as James puts it, remain untouchable in the face of a changing world. Because while technology may continue to reshape how advice is delivered, the experience of being understood, trusted, and guided by another human being remains remarkably difficult to replicate. So, let’s get to it. James, thank you for joining me today, especially coming all the way from the UK. I’m grateful. James Woodfall: Thanks for having me on. Mindy Diamond: So, let’s start at the beginning. You’re a different kind of guest for us, and a topic that is near and dear to my heart because I’m always all about emotional intelligence and EQ, but it’s a topic that sometimes can feel a little squishy to some folks. So, tell us a little bit about your background and really how you got into the world of wealth management. James Woodfall: I got into wealth management probably was by accident while I was, I think about 19 years old. I got a job at a bank because I was living with different jobs and it was the first company that would take me. So I ended up working in a bank as a cashier in a branch. And then after a series of different career moves, I ended up running my own wealth management firm for about nine years, which I sold about three and a half years ago. Around the time that I was selling it, I did my first master’s degree in communication and behavior analysis, and that’s when I started taking a bit of a deep dive into understanding emotional intelligence and behavior and communication. But really, I started that journey before I sold my wealth management company, and really the goal was, how can I become a better financial advisor to my clients by having a better understanding of their psychology behavior around money so that I could communicate with them more effectively, help them build their plans? So I had a bit of a… like a lot of people I speak to in wealth management, they fell into it. Mindy Diamond: So, a lot to unpack there and I’m fascinated by your story. Tell us a little bit about how you began to use or leverage emotional intelligence. You say you got into it or were fascinated by it because it was a way of helping your clients. So, talk to us a little bit about that. How did you begin to see the impact long before you started this business? James Woodfall: So going back a couple of steps to that. When I started the business, it was very transactional. You’d sit down with the client, you find out about what sort of assets they have, what type of plans they have already, and you look for gaps where you can optimize things, or there was a product which they need which you didn’t have. But I moved away from that type of service to a financial planning led service. So, where actually before we get talking about, well, how do we structure your world? We spend a lot of time building a plan in cashflow modeling software. So the one that I used was over at a company called Voyant, and effectively I build a cashflow plan for the clients, which would map out based on assumptions of what age they would reach financial independence. And then that then would then move on to, how to we optimize your holdings? Now what occurred to me pretty quickly in offering that service is that the outputs from that type of exercise are only as good as the inputs. So you’re really relying on the client to be able to come up with the answers to the questions that you ask them to make the financial plan work. And in my experience, quite a lot of the time you sit down with these people and you ask them, “Imagine you’re retired, what does an ideal week look like for you?” So, what I realized is actually I was asking clients a lot of questions which no one had ever asked them before, such as, “If you go retire, imagine you’re retired tomorrow, what does your idea week look like?” Very rarely do we get asked that day-to-day, especially not from friends, family members, certainly. So I went off and actually did a diploma in coaching because I thought initially I want to become better at actually getting people to think about the future and think about plans. And in doing that, I ended up wanting to take a bit of a deeper dive into understanding behavior at a higher level. So that led me on to getting my masters. Impacts on clients though is that I became, and me as well, is that I became a far better listener first. So I listened first, I stopped making so many assumptions as I found I had about people. And really, I think that changed the dynamic in terms of me constant, I suppose, dictating to people about what they should be doing. So of course that’s what a good advisor does, isn’t it, is advice. You switch around into actually making sure you’ve got a deep understanding of people’s hopes, fears, goals, dreams, and then ultimately, you can help them better in terms of optimizing their financial plans and wealth. Mindy Diamond: Yeah. 100% of what you just said speaks to me in a big way, because that is 100% our philosophy. Most recruiters, I don’t mean it disparagingly, but most recruiters in general are pretty transactional. They see a hammer, they see a nail. So, a recruiter sees a financial advisor and he’s a means to an end to making a deal to a transaction. And our whole approach from day one was never about seeing you, financial advisor, as a transaction, but rather first and foremost, wanting to understand what’s important to you. And we get told all the time that we were asking questions that nobody ever asked them before. And I want to unpack it more, because I love what you’re saying. The goal as far as I see it is not just to ask a bunch of questions nobody asked before, but it’s to ask questions as a means to an end, to start out by asking questions that make somebody comfortable that tell them that you care about them. Then it’s about asking questions that they’ve never been asked before because the answers to a question like, “How do you see yourself behaving in retirement,” has everything to do with how much money they’ll need to retire. So, one informs the other. In our world asking somebody, “What are the things that spark you and what are the things that really don’t? And what will you do with this information?” And all those sorts of questions are questions many people had never been asked before, especially if somebody was looking at them as a transaction. And yet, it’s what deepens relationships, it’s what creates trust, and it’s what allows you to identify me as a recruiter, identify the best solution or the best opportunity for someone. So, do you agree with that? Is there anything that I’m off about? James Woodfall: No, that’s exactly the point. I think I’m asking better questions as a wealth manager talking to your client. Because ultimately this is, I suppose, one of the things which comes from understanding emotional intelligence, is that for most of us, we make decisions in motion first and then we justify with logic and reasoning, which is basically back to from. If I was to start with logical reasoning and then expect people to make a buying decision. And so a lot of the time, especially with things like retirement savings, for example, because it’s in the future, it’s over there, especially if it’s 10, 20 years away, people think, “Well, why will I give up so much money a month now for something which is so far in the future that I can’t comprehend it yet?” But if you start reigning the questions in a way which gets to kind of the… Really what you want to uncover is, if you wake up at 3:00 in the morning and you can’t get back to sleep, what’s on your mind? Because if you can uncover that emotion that fits all that kind of pain or problem, then you deal with emotion first and logic second. Mindy Diamond: And it tells you what you need to solve for, right? James Woodfall: Exactly, yeah. Mindy Diamond: If what keeps me up is I’m worried I’m going to outlive my money, and you know that’s your true north in terms of how you begin to tackle that they’re thinking about the future, they want you to focus on the long term. Right? Is that what you get from that? What’s the typical answer you get to that question, that one in particular? James Woodfall: For retirement planning, it’s usually clusters around. “Well, I’m not sure I’m making the right decision. There’s lots of options that are complicated. But really, actually, am I going to have enough money? Am I going to run out?” Because it’s the big question, isn’t it? How long are you going to live and how much are you going to need? Mindy Diamond: Right. As I was preparing for this interview, I think I know the answer because I’m a person that lives in this world that believes fully in, I don’t have a degree in behavioral finance but I’m big on emotional intelligence, connecting, developing trust, and that I don’t have any right to sell anybody anything or suggest anything unless I’ve connected on an interpersonal level. But I don’t know that everybody believes that. So help us, our listeners to understand, why does this matter to financial advisors? So, I’m going to give you two examples. I’m a younger advisor that has, say, five to 10 years in the business, say $100 million or 100 million pounds under management and is looking to really build a business. How and why does the concept of emotional intelligence, of EI, matter to me? And then I’m going to ask you the same question again with respect to someone who manages a billion dollars or a billion pounds. How and why does it matter? James Woodfall: Yeah. I think probably a starting point is, let’s just clear up I suppose in definitions so that we understand what we’re talking about when we say emotional intelligence, it’s an EQ. Because I suppose let’s think about, let’s call EQ the measurement, and emotional intelligence is the concept. So the definition of emotional intelligence is it’s an ability, and it’s this ability to understand and influence emotions in ourselves and others. So within ourselves, can we perceive and understand our own emotions? What turns them on? What triggers them? Can we do something about that? Can we recognize it, manage it in the right context, or either initiate our emotions in the right context? And can we do that when we’re talking to other people? So, are we good at perceiving people’s emotions within different contexts, and are we good at influencing and utilizing that information to help us communicate more effectively? So, these are skills which requires regard within those two roles to make you effective. And so, one of the things that we’ve learned from probably 30 years of people studying emotion intelligence is that if emotion is involved within the job role, emotional intelligence correlates with job performance and has a meaningful impact on the difference between an average and a big performer. So regardless of whether it’s one of the two scenarios that you’ve said, performance improvements are always on the table. But one of the things which tends to happen as you move from, say, up in terms of the money that you’re managing is the stakes get higher. So quite often, you actually need a much far higher degree of self-management, a higher degree of self-awareness, a higher degree of ability to perceive emotions in others, and to be able to communicate with influence. Because quite often as you are dealing with clients who are more affluent, there’s a correlation between actually the skills that your clients have and the skills that they expect you to have as an advisor. So the higher you go up that sort of ladder in terms of value, the more effective you need to be. So that’s where that EQ measurement. If you had to sit down and do an EQ assessment, for example, you need to be scoring way above average the higher up you go. Mindy Diamond: How will somebody begin to notice that developing the emotional intelligence muscle, developing the quantity of EQ, how will that begin to show up and impact their business? James Woodfall: There’s a couple of ways, and I think it really does show up in self-awareness and self-management and awareness and understanding of others. So one of the things which will show up in terms of that awareness and understanding of others is, can you build trusted relationships quickly? So like those skills that we were talking about before about asking better questions and listening, especially the first time you meet a new prospective client, if you can really turn your ears on and get very, very curious about the person that you’re talking to, rapport building is one of the foundational things for trust building. And really, if you get rapport building right, one of the goals should be to find common ground early, because the minute that you can build a connection with people and you start uncovering things that you’ve got in common, it starts signaling to people that actually you’re someone who is like them, on their side, and that they’re someone that you can trust. Now people who get this right, they tend to close more clients and they tend to gain more referrals or recommendations to other clients. And when I used to run my business, referrals was the largest source of new clients. Every single year, all the other different marketing streams, they didn’t produce anything near referrals. And I think back to that, if you look back to the kind of retirement example, if you can really get an answer to that question of, you wake up at 3:00 AM, what’s on your mind, what’s up when you’re getting back to sleep? If you can uncover that and solve that, for a client, it’s far easier to articulate that to a friend than it is for them to explain the technicalities of what you did with their retirement savings. But it’s easier to articulate, “You should absolutely go and see James. We were worried about whether we’re saving enough, he solved that, it’s brilliant, you need to go and see him.” That’s what I mean, is that they’re able to articulate the emotional outcome. Mindy Diamond: Even though what we’re talking about here is someone making the case that strengthening one’s emotional intelligence will make you a better advisor, easier to say that, sounds logical. But you’re connecting it to, you’re saying that someone who actually gets this right, gets it better, is going to create more of an instant rapport rooted in trust, and likely grow their business because it makes them more referable. And those are things that certainly every young advisor wants, but every advisor wants. So, let me switch the tables a second. I get why a young advisor with 100 million wants to get to a billion, why this is really important. They want to do everything they can to really make themselves the most referable. But let’s take the advisor that’s on the back nine that has been doing this 30 years, manages a billion and a half of pounds, dollars in assets under management, is growing by referrals and it’s an organic referral stream. It’s a business that feeds itself. So, while everybody always needs to be in business development mode, they feel like they’ve cracked the code, they’ve got it covered. How and why does this concept impact a senior advisor, someone with a much bigger, more robust book of business? James Woodfall: Yeah, it’s interesting. So if we take a bit of a step back and look at a bit about what some of the research says about the impacts of emotional intelligence, there have been some studies done within financial services about the impact of your training on business outcomes. So there was a study done probably around about between 2000 and 2004 with Ameriprise, and they brought their agents through a year-long emotional intelligence development program. And it was interesting, they measured at the beginning of the program EQ, what someone’s EQ score was, but they measured things like health, anger, trade anger. So, how often were people experiencing anger, stress, and burnout. So they’re measuring all sorts of things other than EQ just to see what the impact of EQ training was. Now EQ scores went up, sales went up, I think on average of about 24% across four cohorts. But things like stress, burnout, health outcomes, perceived health outcomes, people are asked to rate, how would you rate your health, that went up. Experience of anger went down because people become better at managing it. So as you look at the kind of example that you described, I would say that as someone who’s in that stage of the career where they may not have the capacity to take on more clients. So just think, well, actually, I don’t want an uplift of 20%, 24% in sales because I might not process that. But one of the things which I suppose the EI research shows actually is that it impacts your quality of life. And there is finding which is quite common in research, is that actually EI scores correlate with age. So as we go through life and we have sort of ups, downs, highs, lows, and we learn from those. We learn from our emotional experience, and that’s hypothesis, is it feeds into our EQ score. So you’ve probably got people at that later stage of their career who actually probably have had experience which has developed their emotional intelligence. They’ve got mature standing, which means that they might not necessarily need to go out and find new clients. They’ve got experience, which has helped them develop client relationships, but they might want to take a step back at quality of life. If they’re experiencing stress, burnout, pressure, EQ can help absolutely with all of those. The other thing which is quite common as well is that if they’re playing any sort of leadership part within that business now, let’s say if they’re a business owner, EQ absolutely is key for leadership performance. So making sure that you’re building a team of people around you, you can help you develop the business. And actually, EI and leadership’s one of the biggest areas where research has been focused. But I think one of the other things I’ve got to say is that we’ve all got blind spots. It doesn’t matter where we are in life, we’ve all got things that I suppose that we could be better at. And actually shining a lens on those and improving our self-awareness is something that you can develop at all stages. Mindy Diamond: A lot of people in our industry, whether it be a recruiter or an advisor themselves, believe that efficiency or being most effective and efficient is the true north. And that to ask what may fee like unnecessary or ancillary questions that don’t directly get to help me to figure out what your asset allocation is so that I can grow your portfolio, may feel ancillary. And so, is that one of the most common objections you get when somebody, say, comes to you and they’re thinking about retaining you and they’re wondering what the benefit is? James Woodfall: Well, I think the people in firms I tend to talk to, there’s a couple of common things that are coming to mind now. One is pressure around fees. So, how can I make sure I’m articulating my value in a time where clients are more informed, they can go on AI and they come to meetings prepared with answers, and they’re challenging back around the value that advisors can provide. So getting back, I suppose, and the answer is funnily enough, is actually if you’ve designed your service around a proposition which makes yourself easy to replace by someone else who can do it for the same or cheaper price with a promise of better performance, or even in the years coming, a robo-advisor, it’s going to be challenging to retain and grow clients. But I’m not particularly worried about AI. The other types of firms that come to me is to say, “Look, we’ve identified actually that we need to think differently about our business model, what we do and who we serve, because it’s going to be easier than it’s ever been for clients to come up to do some of these things themselves.” But absolutely what is untouchable, I think, is this ability to create a human connection, to sit down and discuss a range of different options. “Do I do X, do I do Y? What are the trade-offs if I choose that over that?” And to uncover those things which, as I said, really keep people up at night and solve for them. I think it’s going to be quite hard to replicate that digitally. Mindy Diamond: So I want to get to a end that you hit the nail on the head, and I want to delve deeper into it. Whatever the advisor is looking for, they may not worry about pressure around fees, they may not be kept up at night. They have a practice or a business that’s worked well all these years and is growing organically and it’s more than good enough. But anybody who isn’t concerned about the potential impact of AI on their business and whether they’re a financial advisor or recruiter or anybody else, is living under a rock. So, the goal for everyone should be to make yourself untouchable. And you hit it on the head, it’s the ability to create human connection. So, I want to ask you something. It occurs to me, you talk a lot about learning to ask the right questions. In some cases, the questions that a client never been asked before makes sense to me. But I think the real skill, I mean, I imagine anybody can teach you a list of questions to ask. The real skill comes in is knowing what to do with that information. So, let’s assume that someone says an advisor says you ask that smart question, “What keeps you up at night? What do you think about at 3:00 AM?” Pressure around fees. I find people, clients asking me, prospects asking me all the time what sort of value I can add, whether it be in the land of AI or competitively, whatever it is, pressure around fees. What do you do? So you’ve asked the smart question, but what do you teach? What do you do with that information? James Woodfall: It’s a mindset, I think, because having just say a list of questions I don’t think is really helpful to any advisor when you’re training them. And yet I find I do get people who, okay, say, “Well, look, what questions should we ask? Have you got a list of questions that you would ask?” I hold back giving those out because I think that, well, that’s what I would say. It’s not necessarily going to land the same way if you say it. The mindset I’m trying to teach advisor is to adopt a curious mindset. So not asking questions for question’s sake, but if I’m talking to someone, what I want to do is I want to understand, how are you thinking? How do you see the problem? What assumptions are you making? What things do you believe which maybe don’t line up with how things are in reality, or goals, objectives, or whatever it is. So I’m trying to understand how you think, and that requires not asking questions off a list of great questions to ask, comes off of understanding the format for that, is utilizing the open questions to gather information, to check assumptions that might sit behind them, because actually understanding those assumptions is really, really useful. And to then summarize and play back to someone that you’re talking to so that you can demonstrate that you’re listening and you deeply understand them, and being able to summarize and be able to succinctly put their words into a, “Well, what do we do next about this?” Mindy Diamond: Yeah, and, why does it matter? I love that because what I always say is it’s art, not science. AI could give you a list of, if I put in the topic of emotional intelligence and give me a list of 10 smart questions to ask relative to X. One of the questions I would ask someone from an emotional perspective that demonstrates I have strong emotional perspective relative to pressure around fees, AI could spit out the questions. But I think you’re 100% right. The real key is being a good listener and meeting someone where they are. And it’s not about a prescribed or canned list of questions that demonstrate you have strong emotional intelligence. It’s much more about asking the right next question, saying the right thing, the validating statement afterwards. And not as a means to an end, not as a means to a transaction, not as just a way of checking the box, I have emotional intelligence, but really because demonstrating that you deeply care. And I like what you said, the notion of a changed mindset. Do people get that right away? I guess what I’m asking is, financial advisors, while smart ones who are looking to make themselves untouchable by AI will get that concept. They’re looking to differentiate themselves and they’re looking to hone the skills that AI can’t bring to the table. But at the same time, financial advisors are number oriented and goal oriented. And so, how long does it typically take to begin to see, or how do you paint the picture about getting from here to there, connecting the dots between strengthening changing your mindset, strengthening your emotional intelligence, and seeing more results? James Woodfall: Well, look, it’s about behavior change, isn’t it? Like any kind of behavior change, there has to be a few things at play. One is that you have to have a good understanding of where you are right now, what things that you are good at, but what things you need to work on. And then effectively the things you need to work on, you need a plan of how you’re going to work on them. So I think commonly how you develop these kind of relational skills is that you need to be able to get close to, what does the goal look like? Where am I headed? If I get this right, what’s it going to look like? And then you need to have a plan to get from A to B. And actually part of that plan has to be built around good feedback. And I was quite lucky where during my career, I worked for two large banks before I started my firm. And I had really, really good training from managers that I worked with, almost on a monthly basis would come and sit in my client meetings and then feedback to me about what I could have done better. And so actually, if you’re going to really commit to developing, I suppose relational skills and becoming more emotionally intelligent, you need help from someone within your firm or externally to come in and actually observe you by trying out new things and giving you feedback. Now of course, you could do some of that yourself if you’re doing a virtual meeting, you could hit record, play it back, be your own analyst. But quite often we can’t see that ourselves, but if you’ve got say a third party, they can watch you in action. Quite quickly they can hone in and say, “Well, actually, you could have asked a different question here, or actually if you’d phrased that like this, you might’ve got a bit more information, or the client closed down when you ask that question.” So actually then, you start to create that behavior change. So feedback I think is one thing, but actually aligning it with really, values, I think. So, one of the things that I suppose is quite important for behavior change is that we are motivated to do things where we strongly believe it’s the right thing to do. So, I think which is why it can be quite difficult for a firm to bring in with a team of advisors and say, “Well, we’re going to roll out emotional intelligence training,” because you’ll get some of us go, “This is brilliant.” Mindy Diamond: Eye roll. I would imagine eye roll is the… It can be a lot of the response, right? James Woodfall: You get a lot of resistance, because some people see it as a criticism of just saying, “Well, actually I’m good at that. I don’t need training in that, thank you very much.” Mindy Diamond: And because if efficiency in getting to a goal is the true north, I mean, I think the mindset shift you’re talking about is going from believing that getting to the goal by just asking the right numbers and dealing in data, changing that from it’s about building a relationship, which ultimately will impact the amount you manage and how you grow and how you connect and all of that stuff. But for people that are goal-oriented, linear in their thinking, I imagine this can be not just felt as a criticism but hard to embrace. James Woodfall: Oh, yeah, no. I think we view the brain as kind of a black box. I do get people I speak to, they go, “Mental health isn’t real. And all of this is psychobabble,” but from the people that I’ve had feedback from, and this is even for people I haven’t trained. I wrote a book about 18 months ago about the topic which talks about emotion intelligence within the 5X context. I’ve had people contact me on LinkedIn and say, “Look, I read your book. I’ve been following your content for a while. I’ve put some of the ideas to work, and I’m now getting my manager and their manager contact me and saying, ‘What are you doing differently?’” Because all of a sudden they’re opening up conversations with clients that they couldn’t before, doing business with clients where they couldn’t before. And all it is that this kind of focus on the client, the relationship, building that connection, and all of a sudden you start seeing that convert into more sales opportunities. Mindy Diamond: Yes and more yes, because that’s always been our philosophy, my philosophy from starting the business and our philosophy, and I couldn’t agree with you more. You articulated it probably as did, I got to it instinctively. You have research behind it, etc. By the way, for our listeners, we will link your book in the notes for this episode if anybody’s interested in buying it. But you hit the nail on the head, so, or you took the words out of my mouth in terms of next question. Who are your clients? Are they individual advisors? Are they independent RIAs? Are they Morgan Stanley and Merrill Lynch? And what kind of work do you do for them? James Woodfall: So, I do, there’s probably two parts to my business. One is the consulting training part, which is going into firms, typically firms that were the owner managed typically, where the owner either is still advising or has a big impact on other behaviors of the advice team that’s underneath them. And really, I work on a consultancy basis. So rather than going and just provide EI training, what I do is effectively start with understanding the business. So exactly as I’ve been talking to you about, the process I used to follow as an advisor, it’s the same process I follow when I’m working with practices, is I want to find out what’s going well in the business. Where are the blockers, what’s not going so well? And I’m a social science researcher. So I’d want to spend some time in the business actually doing a bit of a deep dive and maybe speaking to the team while the owner’s not in the room and finding out a bit about how they’re seeing things. Because ultimately, what that will do is it allows me to look at thematically extracting what types of training interventions might move the needle within the business. And then I put that onto a report for businesses and say, “Look, this is what I think we should be doing.” Some of that might be me working one-to-one, doing that coaching, observing, training with particular people in the business who have been highlighted as requiring development, or it might be group training, might be taking the whole teams through a training program. And then following up, helping build those development plans, and then being there supporting with the one-to-ones as they bed in that behavior change. So, that’s one part of the business. The other part of the business is working for the larger firms. I’ve done a bit of work for Fidelity this year and last year, and they’re looking to hire me as an authority expert on the topic to put together training programs that go out to the advisors that they work with. So, there’s the two aspects, like an external speaker trainer that’s brought in by some of the larger companies. And then the other one is a bit more hands-on, applying not only the science but my experience of having been there and run a business. Mindy Diamond: Right. So are the big firms like… So you mentioned Fidelity, are the wirehouses, Merrill, Morgan, UBS, Wells Fargo, are they embracing this? Are the big banks embracing it, or is this largely in the RIA space right now? James Woodfall: In the UK, there’s been a huge kind of interest in emotional intelligence, behavioral finance, relational skills. And actually, a lot of the kind of people who require influential in the UK are actually based in the US. And so, I think there’s a good bit of crossover. We’ve got good people who are specialists in looking at the retirement piece from a retirement transition about, how do you support people through what is a profound psychological transition? So, I think the RIAs are really interested in it as a topic. Then we’ve got the larger institutions are interested in it either as the RIAs are clients of theirs and they want to be seen to providing thought leadership to the RIAs and helping them develop these skills. But also, we’ve got some quite large companies in the UK now here, like the banks, for example, the banks or the whole exited the advice market in around about 2012, 2013, and then this year they’re starting to come back. So they’ve had 15 years nearly out of the market and they’re coming back because they’re just wanting an opportunity for face-to-face advice. So, I think actually it’s a hot topic now and I think all segments of the market are looking at, how do they develop non-technical skills to help them succeed in the future? Mindy Diamond: Can someone who was not born with strong EQ, can they learn this? James Woodfall: Absolutely. One of the interesting things about EQ is it’s not like IQ, for example. IQ is our a sort of cognitive ability. There was some good research that was done probably about, I think 2016, which looked at, do you remember all this sort of brain training apps like, if you do Sudoku, do you get smarter? You get better at Sudoku, but it doesn’t translate into performance on another. You don’t get better at crosswords from doing Sudoku, for example. So, IQs are pretty much fixed and there’s not a lot we can do about that. But EQ has been shown to be a trainable ability. So regardless of where you are now, if you understand your strengths and weaknesses and put a plan together for improvement, everyone has the ability to improve their EQ. And it’s not like personality, for example, where it’s quite hard to shift the dial. Let’s say if you’re quite strongly introverted and you find social situations difficult, if you just took that approach and said, “Well, look, can we make you extremely extroverted?” The answer would be, well, probably not. But EQ absolutely helps that person because noticing that you feel uncomfortable in, say, a networking situation if you have to do that professionally, having the tools in the bag to manage that feeling and throw yourself into the experience, that’s EQ in action. So, it doesn’t matter your baseline of where you are, EQ can have a big impact on your ability to perform across a range of different contexts, home, work, with friends. Mindy Diamond: Yeah. Let’s talk about your comment that EQ or strong emotional intelligence is what can make an advisor untouchable by AI. And I assume the premise being that, I can’t replace a human relationship. It may be able to come up with the questions, but at least for today it lacks the ability to know what to do with that information and to create the human connection. Talk to me more about that. How and why is that? I mean, is that part of why people are coming to you, because they’re worried about AI encroaching on their business? James Woodfall: Where we are at the moment is actually AI… Let’s look at healthcare for a second. Chatbots in healthcare have actually been outperforming humans in some respects. So there’s a type of therapy called cognitive behavior therapy, that’s been run with AI agents and patients. And as researchers to show that actually, disclosure has increased when patients are speaking to a chatbot because cognitive behavior therapy is like it’s guided, is a method, it’s a methodology to it. But disclosure increases and this theory behind that is is that people open up more when they don’t feel like they’re being judged by another person. So that’s interesting, because that saying to us, “Well, actually, people are trusting AI agents with very, very personal information, and people are already getting that feeling of empathy with AI agents.” Because if you tell an AI agent something deeply personal and it says, “That must have been really difficult for you,” for example. Mindy Diamond: Yeah, it does that well. Wonderful feedback about how great you are or what a smart question you just asked. James Woodfall: Yeah, but it’s synthetic, it’s not real empathy, it’s synthetic empathy. Whilst we might feel actually we get that feeling that we’re being understood, it’s not real. And I think the advisor’s edge is, look, I think where we might end up with this is that if you take a step back and you do this kind of exercise of what’s my ideal client, the ideal client is, I think, now is someone who is still time poor. So yes, an AI agent might be able to interview you, build a financial plan, but do you really want to spend the time doing that or do you have any inclination to do that? No. Well, that’s a perfect client who would hire an advisor. They value human relationships. Obviously when we do get AI entering the advisor market, it’s going to be at a lower price point. So actually, we’re now talking about a difference between experience. So the experience of being with an advisor comes at a premium. So that experience is going to be what people are going to pay additional value for. So, it’s the experience of dealing with a human. It’s the experience of dealing with a human who can talk them through complex information and options, help them understand their thinking and apply judgment, connect with those emotional things. But there’s a whole range of information that we get when we’re talking face-to-face, which AI doesn’t have access to. So back to that retirement example, if we say, “Well, man, I’ve modeled your plan. If we do X, Y, and Z, you’re not going to run out of money when you retire. You’re going to be okay.” And then the person, usually what they do is they sigh with relief, which is actually the emotion of joy, relief is actually happiness. So that sigh of relief and the softening of muscle tension in the body that you see when you’re face-to-face with another person, AI can’t, doesn’t get that data. Mindy Diamond: And how powerful is that? So, why does that matter? If I say, “I have X, I need Y. I have X number of years until I retire. Will I have enough money to retire the way I want to?” AI can spit that answer out faster than any financial advisor and come back hopefully saying, “Yes,” they’ll know that I will experience relief and joy because I’ll write back saying, “Great news.” It’ll say, “Yes, that is fabulous news.” It’ll tell me why I’m relieved and all that sort of stuff. So, why does that matter? James Woodfall: I think fundamentally, it comes back to trust. For those people who can get that quick answer, they’ll go, “Yeah, that’s great.” But there’ll be some people who go, “Yeah, fine. I’ll take that answer at face value.” There’ll be other people who go, “Well, what if you made a mistake?” Quite interesting that actually, people will get the same answer from a human advisor and they’ll trust it more. And I think one of those things is because we’re wired for connection, so when empathy develops, it’s quite interesting. Something which you see in young children, for example, is when we develop at the very early stage, probably about three or four years old, before children have learned to self-regulate their emotions, you see emotional contagion in groups of children happen quite rapidly. You get one child who say gets a toy taken away from them and starts crying, and then all the other children at the same age in the nursery start crying. Now, none of those other ones are crying because they’re sad. They’re crying because we have these things called mirror neurons, which means we pick up and mirror the emotional state of people around us. So, you actually get an experience of shared feeling and especially if you’ve got strong rapport, strong relationship, you actually share emotions of the people around you. Now, of course, as we grow out of that developmental stage, we learn this ability to understand that actually what we’re feeling isn’t happening to us, it’s happening to someone else. But have you ever been around… My favorite example for this is, if my wife has had a bad day at work because she comes home and starts slamming the door and banging cupboards, why I start to feel anger, because it’s rubbing off, it’s in the room. So, it’s this shared understanding that I think is where the value is. And so absolutely the answer might be faster and quicker, but for some clients they value that experience of having that answer delivered by someone who understands them. Mindy Diamond: And I think, so the point is that there will be clients or prospects that will value the efficiency of AI, that don’t necessarily need the face-to-face, that don’t necessarily… They just want the answer. They want the answers to the test, they don’t care how you got there. But what you’re talking about is finding the clients that really value the human connection. And if that’s what in fact is going to make advisors untouchable, then they need to make sure that they really strengthen this skill. James Woodfall: It’s not just the answer, but it’s the whole experience that’s wrapped around that. So actually last year, and my wife took me to a restaurant and we had a lovely, lovely meal. And on the menu there was this cup of coffee and the beans were like one of the rarest beans in the world. They’re the ones that get eaten by this little animal with the jungle in it, poops them out, and then the beans get roasted. But it was about 40 pounds for this cup of coffee and I thought, well, I’m going to have that. But that’s the experience, isn’t it? I could get a cup of coffee at McDonald’s, but actually the experience of this, something which is rare, exclusive, delivered in an amazing environment, that’s what you’re paying for. So, you’ve got to remember that actually if experience dictates a lot of what we value as well. So because if all of our decisions were made on price, Ferrari wouldn’t have a business because everyone would just be buying the cheapest car that does the job. You’re going to think advisors that are going to operating in this space, well, they need to think about the whole package, as in the experience that the plan that’s delivered, and the advice. Mindy Diamond: But it speaks to the notion of any advisor that isn’t thinking about AI’s impact on his business and how to reshape or rewire the business, even just rewiring the value proposition, retooling their value proposition, how they explain their value and what they do needs to change because they’re competing not only with the advisor that sits next to them or down the hall, but they’re competing with AI. How about as AI, as you see AI develop? So fast-forward five years, you and I are talking about where AI is today, but AI is, God knows where it’ll be five years from now. So, how do you foresee, do you still foresee the advisor being untouchable if they get this right, five or 10 years from now? James Woodfall: I don’t think it’s financial advice that’s unique with this, because I think it’s any profession where at the moment human judgment and understanding are valued. Healthcare, for example, same thing, doctors follow consultancy process. You’ve got this like tax, legal, a whole range of professions which are all grappling on the same problem. So I think in five years time, I think the answer is, is that we just don’t know what AI will look like. But certainly in the moment, if you track what Claude are doing with code work, and what Perplexity is doing with its skills and add-ons, a lot of it is actually at the moment geared up to freeing up the advisor’s time so that they can spend more time with clients. So, I think at the moment this sort of trend is looking like AI companies want to support advisors to be way more efficient so that they can deal with more clients. But in five years time, who knows? I think probably one of the biggest leaps that will happen is when AI is no longer working from, say, just a transcript. If it gets out to that kind of chat where you can actually interact with an AI agent like you and I are talking, I think that’s going to provide a different experience, because then you’re moving it from, as I said, that kind of structure where somebody is stuck there tapping away at keyboard, having a conversation with a chatbot, effectively, to actually having a conversation with an embodied agent with a face, gestures, a voice. That I think will start to change things a little bit. Mindy Diamond: Yeah. Well, it will be an interesting future, for sure. This has been a fascinating conversation. I really enjoyed it, and thank you so much for sharing so graciously. Is there anything to wrap up that I didn’t ask you, that you would want an advisor to know about this concept or anything you’re thinking about? James Woodfall: I think we’ve taken a broad sweep and then a deep dive into certain areas. I think really probably have to get started. I think probably one of the… I mean, you mentioned obviously I’ve got a book that you share the links to, which is fantastic. Audiobook is available to that as well on Spotify or wherever audiobooks are listed. I think there’s a lot of good advice in that about how to get started. So, I think for people who are looking at covering that next step of, what do we do, it’d be, yeah, pick up a book and have a bit of a deep dive. If you want to skip the book and come straight to having a conversation with me, then I write a weekly email, which goes out once a week, which is just one topic. So very much like we’ve been talking today, I share ideas on that once a week, or on LinkedIn, I’m around on LinkedIn as well. Mindy Diamond: Good. Well, we will link all of it so everyone knows how to find you. Thank you again for being so gracious. Love the topic, love the work that you’re doing, love that there’s a need for it, and can’t wait to see where you go from here. James Woodfall: Brilliant. No, I enjoyed it. Thank you. Mindy Diamond: Thank you. As a financial advisor, you hold yourself to the highest standards of integrity, honesty, and credibility. You are successful because you take your professional responsibility seriously, and are dedicated to your clients. But are you living your best business life? Are your goals aligned with your firms or could a better option exist? Should I Stay or Should I Go? Is a book written with you in mind? It’s a self-guided journey that walks you through the key steps that we take with our advisor clients. This strategic thought process and roadmap to professional self-discovery is designed to help you ask the right questions and think critically and objectively, whether you’re considering change or not. Learn how to get your copy at diamond-consultants.com/thebook. Emotional Intelligence: The “Untouchable” Differentiator in an AI World A conversation with Mindy Diamond and James Woodfall, Communication and Behavior Specialist at Raise Your EI.      Mindy Diamond: Welcome to the latest episode of our podcast series for financial advisors. Today’s episode is Emotional Intelligence: The “Untouchable” Differentiator in an AI World. It’s a conversation with James Woodfall, Communication and Behavior Specialist from Raise Your EI. I’m Mindy Diamond, and this is the Diamond Podcast for Financial Advisors. At Diamond Consultants, we help elite advisors identify the right environment for their businesses to thrive, whether that’s at a wirehouse, boutique, or independent firm. With nearly three decades of experience, we’ve guided thousands of advisors and represented more than a quarter of a trillion dollars in assets transitioned. And each year, one in four advisors managing a billion dollars or more who change firms are our clients. Our process is education driven and based on building relationships, starting as your strategic partner well before you’re even thinking of a move. To schedule a confidential conversation, call us at (908) 879-1002. Wondering why advisors change firms and where they’re headed? Are transition deals going up or down? Those very questions and more inspired us to create our Annual Advisor Transition Report. It’s the award-winning, data-driven resource designed for advisors that connects the dots between the motivations around movement and the firm’s appetite for top talent. Arm yourself with the knowledge you need to make smart decisions. Download your copy at diamond-consultants.com/transitionreport. For years, advisors have competed on expertise, the ability to solve problems, deliver answers, and provide guidance clients couldn’t easily find on their own. But today, those answers are becoming easier to access via artificial intelligence and tools like ChatGPT, Claude, and Perplexity. AI can generate planning ideas, summarize complex topics, and answer questions in seconds. As the technology continues to improve, it raises an important question. If information becomes increasingly commoditized, what will clients continue to value most? My guest today, James Woodfall, is the Founder of the training firm, Raise Your EI, and a former wealth management business owner. James now helps advisors, leaders, and organizations strengthen the communication and behavioral skills that drive trust, influence, and performance. Skills rooted in emotional intelligence or EI, something that AI cannot authentically replicate. What’s interesting about James’s perspective is that he doesn’t view emotional intelligence as a soft skill. He views it as a business skill, one that impacts how advisors build rapport, earn referrals, lead teams, deepen client relationships, and ultimately differentiate themselves in an increasingly competitive marketplace that includes human and machine-driven advice. Our conversation explores why rapport is the foundation of trust, how emotional intelligence can be developed like any other professional skill, and why advis

No professional athlete in 2026 goes into a game under-slept, under-nourished and overstimulated. So why are business execs and entrepreneurs still doing that every single day? It's because they don't recognize they are actually executive athletes. And just like sport athletes, business athletes need healthy bodies and minds to the same degree if they want to avoid being another burnout statistic.  Nicole Elizabeth Ward combines twenty-five years of sales leadership experience with her passion for wellness and performance optimization. Her unique background enables her to address the specific health challenges facing sales professionals with practical, evidence-based solutions. Through her book, podcast, and coaching, she helps sales professionals transform into Sales Athletes who can sustain peak performance without sacrificing their health.Buy her book “Biohacking for the Sales Athlete” on AMAZON: https://tinyurl.com/biohacksalesathlete Contact:Website - https://www.nicoleelizabethward.com/biohackJoin us as we explore:Why it is critical business leaders and executives look beyond IQ and EQ and  understand they are executive athletes with a real responsibility to manage and optimize their physiology.The executive athletes gym bag - hacks to do functions, social events and traveling healthier. How feedback loops from data is the key to unlock the corporate burnout puzzle.The trapping of the all or nothing mentality, the ROI of health coaching and why execs need to decelerate to accelerate to competitive advantages.The power of keeping a food journal for 2 weeks, and the cost of choices.Why HRV tracking made Nicole go wow, and how she got hers unstuck.MentionsResources - The Executive Athlete's Gym Bag, https://www.nicoleelizabethward.comSupport the showFollow Steve's socials: Instagram | LinkedIn | YouTube | Facebook | Twitter | TikTokSupport the show on Patreon:As much as we love doing it, there are costs involved and any contribution will allow us to keep going and keep finding the best guests in the world to share their health expertise with you. I'd be grateful and feel so blessed by your support: https://www.patreon.com/MadeToThriveShowSend me a WhatsApp to +27 64 871 0308. Disclaimer: Please see the link for our disclaimer policy for all of our content: https://madetothrive.co.za/terms-and-conditions-and-privacy-policy/

In this podcast episode Ashea is joined by Mark Gittins, immersive audio engineer and owner of SenSound studios, currently working on broadcast for a major international football tournament, and Pieter Doms, co-founder of AREAL Technologies from Belgium. Together they discuss the invention and development of immersive audio monitoring technology, the AREAL SR1 headphones, and how spatial audio is transforming professional audio production.Pieter shares the fascinating origin story of how AREAL Technologies was born during the pandemic, starting as a Tomorrowland festival request to convert stereo music to immersive audio in real time. Mark discusses his experience using the headphones for remote mixing during high-pressure broadcast work, and both explore the challenges and opportunities in immersive audio adoption.In This Episode:The Origin of AREAL Technologies — How Pieter Doms and his team created an upmix algorithm during the pandemicThe SR1 Headphones Development — The creative journey from a joke about building a studio in a headphone to a functioning solutionNon-Binaural Immersive Monitoring — How the SR1 achieves 3D soundscape representation without relying purely on HRTFsRemote Mixing for Broadcast — Mark's experience using the headphones while working on tournament broadcastsChallenges in Getting Started with Immersive Audio — Infrastructure requirements, learning curve, and barriers for engineersBinaural Monitoring Limitations — Why traditional binaural platforms struggle with height representationRoom Simulation & Personalization — Head width parameter optimization, EQ customization, and virtual room simulationThe Chicken-and-Egg Problem of Adoption — Why immersive audio adoption is slow and the role of content availabilityImmersive Audio in Mainstream Media — Dolby Atmos prevalence in streaming, TV, and filmThe Future of Spatial Audio — Wearable and augmented reality applicationsAbout Our Guests:Mark Gittins:Immersive audio engineer and owner of Sensound, a professional mixing studio specialising in immersive projects. Originally from Birmingham, England.Pieter Doms:Co-founder of AREAL Technologies from Belgium, with over 20 years of professional sound engineering experience. As a live sound engineer for major events including Tomorrowland, his technical expertise in algorithm design led to the creation of AREAL Technologies during the pandemic.About Our Host:Ashea is a platinum-selling songwriter, music producer, and audio engineer from the UK. With credits spanning notable artists, major labels, and prestigious broadcasters, Ashea brings authentic conversations between industry professionals to the Production Expert Podcast. Instagram: @iamasheaResources & LinksAREAL Technologies — https://areal.world/SenSound Studios — https://www.sensoundaudio.com/Megatone Studios — Birmingham-based tracking and control roomTomorrowland — Festival featuring immersive audio experiencesDolby Atmos — Immersive audio format for streaming and broadcastVirtuoso — Binaural monitoring softwareGenelec UNIO — genelec.com/unioSponsorshipThis episode is brought to you by Genelec. If you've ever been disappointed with the way your mixes sound on other playback systems, check out Genelec's UNIO monitoring ecosystem. Visit genelec.com/unio to learn more.

Emotional intelligence isn't something you're born with—it's a skill you can strengthen, and it has the power to transform your relationships, your confidence, and your overall well-being. In this episode, we're unpacking what high EQ really looks like (hint: it's probably different than you think) and sharing the key markers of emotional maturity that help people thrive at work, at home, and within themselves.Join us as we explore practical ways to become more self-aware, regulate emotions, communicate with greater clarity, and navigate relationships with more compassion and confidence. Whether you're looking to grow personally or strengthen your connections with others, this conversation will leave you with plenty to reflect on—without giving away all the insights before you hit play.Episode Highlights[0:00] – Why emotional intelligence matters more than ever in midlife.[1:25] – What EQ really is—and the common misconceptions people have about it.[5:44] – The difference between sensing something is wrong and assuming you know why.[8:58] – Learning to recognize, name, and express emotions in healthy ways.[13:54] – Self-compassion, emotional regulation, and why feeling your emotions matters.[17:00] – Understanding your needs and learning to ask for them.[20:10] – Conflict, repair, and why emotionally healthy relationships can handle hard conversations.[24:52] – Receiving feedback without shame or defensiveness.[28:54] – Why your words, body language, and emotions need to align.[30:38] – Emotional intelligence is built through intentional practice—not just age.If today's discussion resonated with you or sparked curiosity, please rate, follow, and share "Insights from the Couch" with others. Your support helps us reach more people and continue providing valuable insights. Here's to finding our purposes and living a life full of meaning and joy. Stay tuned for more!Ever stayed quiet to keep the peace and felt yourself disappear? The Cost of Quiet is for anyone who avoids conflict and pays the price. Reclaim your voice, strengthen your relationships, and experience real peace. Order your copy and join the movement: https://www.colettejanefehr.com/new-book

This week front-of-house engineer Ryan Goldbacher calls in from the road with Tom Keifer, and you’ll quickly learn that landing the next gig comes down to two things: competence, and not being miserable to be around. Word of mouth is the real currency of touring life, so Always Be Performing applies long after you step off stage: when the tour bus is smaller than your bedroom and there are twelve people on it, how you treat the room matters. You’ll pick up honest strategies for protecting your sanity on the road, from taking a walk to renting a car and disappearing into the mountains, plus why testing your limits only works if you actually know where they are. Then you and Ryan get deep into the craft. You’ll hear why the way FOH mixes your band one night can shape how it sounds for gigs to come, why you’ve got about thirty seconds to describe your band to a house engineer at load-in, and the EQ lessons Ryan learned the hard way dialing in loud rock guitars and high-passing the bass. Stop calling a kick a bass drum, leave some air in it, and don’t be afraid to turn the knobs until it sounds good. From the pressure-cooker of mixing monitors on Mr. Big’s final US tour to a frank take on AI mixing and building the next generation of engineers, this one’s loaded for anyone serious about live sound. 00:00:00 Gig Gab 541 – Monday, July 6th, 2026 July 6th: National Fried Chicken Day Guest co-hosts: Ryan Goldbacher 00:01:17 Ryan on tour with Tom Keifer 00:02:29 Word of mouth is the key Competence is key…that's number one. Close number two: you're not miserable to be around! 00:05:09 The tour bus is smaller than your bedroom, and there's 12 people in it 00:07:19 Creating your own personal space Take a walk Rent a car and drive into the mountains 00:08:45 Week off between gigs Fly me to Spokane, then I'll drive to Alaska Skagway, Alaska 00:11:11 FOH for Tom Keifer for Summer, 2026 You can't spread yourself too thin If it won't fit on your plate, get it off Having a dedicated monitor engineer makes a huge difference 00:13:50 Test your limits, but don't be afraid to know where they are. 00:16:52 Always be communicating 00:18:46 This tour Ryan brings a FOH console House monitor engineer Band is all on wedges A&H Avantis Tom Keifer goes over the entire set with the house lighting designer 00:21:12 Tom Keifer helps Ryan with producing the show for the night The benefits of working with an artist who tells you how to make yourself more valuable to them 00:23:32 The FOH and Band relationship The way FOH mixes the band for one gig could affect the band for the future. Respect this! Communicate what your band sounds like to the engineer…early on as you're loading in 00:29:42 Developing trust with your engineer first 00:31:03 Thirty seconds to describe your band 00:32:33 Making the next generation of engineers better 00:33:59 Engineers who are musicians / Musicians who are engineers ProTools…great software, dumb name! 00:38:18 Learning from mistakes 00:40:16 Stacking EQs on Rock Guitars by mistake…and then intentionally! Working with loud guitars on Stiff Little Fingers Steve Smith introduced Ryan to Stiff Little Fingers 00:41:21 SPONSOR: OneSkin. Born from over a decade of longevity research, OneSkin's OS-01 Peptide is proven to target the visible signs of aging, helping you unlock your healthiest skin now and as you age. Get 15% off OneSkin with the code GigGab athttps://oneskin.co/GigGab  #oneskinpod #ad 00:43:30 Accidentally learning to drop guitar EQ between 2k-4k Adding a high-pass filter on the bass guitar in a rock band 00:48:21 Don't call a kick drum a “bass” drum, otherwise you'll mix it the wrong way. You want some air in that kick! 00:49:07 Don't be afraid to turn the knobs until it sounds good 00:51:27 The pressure of mixing monitors makes you a great engineer Mixing monitors for Mr. Big's final US tour 00:55:09 RTAs are great, but be able to do it by ear 00:58:29 Speaking of Toys…Let's Talk AI Mixing Mentorship and apprentice programs 01:08:43 Show Logistics 01:10:03 Gig Gab 541 Outtro Follow Ryan Goldbacher @ryanthegoldbacher on IG Contact Gig Gab! @GigGabPodcast on Instagram feedback@giggabpodcast.com Sign Up for the Gig Gab Mailing List The post Ryan Goldbacher on Touring with Tom Keifer, Mixing FOH (and Monitors), and AI – Gig Gab 541 appeared first on Gig Gab.

Send us Fan MailSunday, July 5, 2026, message from apostle Tommy Miller, senior pastor, Legacy Church. Recorded live in New Philadelphia, Ohio.From Genesis 3 onward, we see that the root of humanity's perceived separation from God is not the rejection of God, but the rejection of self. Eve did not reject God in the Garden. Instead, she questioned and rejected herself, and that self-imposed distance created the illusion of separation from a God who never left. “The Fall,” then — and what Jesus' incarnation came to restore — was fundamentally a crisis of identity. When we reject ourselves, we reject God.Learn more about Legacy Church: https://www.legacychurchint.org/Follow us on Facebook: https://www.facebook.com/legacychurchohFollow us on YouTube: http://www.youtube.com/@LegacyChurchOHSow into what we're doing: https://www.legacychurchint.org/give#christed #rejectedrevealed #sacredbiology #biodivine #asheissoareweinthisworld #unveiled #conscience #sons #manifestsons #fathers #union #legacychurchoh #newcreation #jesus #church #jesuschrist #gospel #transfigured #revelator #apostle #deathless #immortality #believe #bible #creator #godisgood #grace #hope #sermonshots #sermonclips #holyspirit #love #godislove #kingdom #peace #freedom #memes #truth #inspiration #motivationalquotes #vibes #positivevibes #christ #jesuslovesyou #russellbrand #jordanbpeterson #joerogan #atm #tommymiller #soulintelligence #EQ #emotionalintelligence Support the show

Kevin Cope, Founder and CEO of Acumen Learning, explains how salespeople earn a seat at the table by mastering business acumen — reading a prospect's P&L, mining earnings calls for buying signals, and pairing that insight with the EQ that AI can't replace. He shares why two-thirds of salespeople don't understand their clients' industry and how to close that gap. Learn more at https://www.acumenlearning.com/.

Choosing Divine Love First: Ester Brooks on Marriage, Family, and FaithThis conversation with Ester Brooks was sparked by something I heard her say in a previous interview. That, in her marriage, she realized she needed to put God first and her husband, Arthur Brooks, second.I share my own reflections as someone married for 35 years, and we open up about the challenges and rewards of reprioritizing relationships.Ester Brooks gives a heartfelt account of her journey from youthful infatuation to the deeper, sometimes harder work of real, sacrificial love in marriage. She talks candidly about recognizing unhealthy expectations, letting go of perfectionism, and how practicing her faith helped her love more selflessly.We discuss the natural tendency to try to change others, especially in long-term relationships, and Ester Brooks shares insights on how genuine curiosity and getting to know her husband anew brought more connection and fulfillment.We also get into parenting, and both of us discuss the importance of not placing children at the center of the marriage but prioritizing the couple's bond. Ester Brooks shares wisdom about releasing children to find their own paths and the security children gain from witnessing strong parental love.Faith is a thread throughout, as Ester Brooks reflects on how audiences are often most interested in discussions of meaning and spiritual longing, even in secular settings. We touch on the challenge of loneliness in today's tech-driven world and the need to be present and nurture real-life connections.Throughout, love emerges as the ultimate purpose and goal, both in the everyday and the eternal. I hope you enjoy this thoughtful, warm discussion on what it means to truly love and be loved.Here are 3 key takeaways for anyone seeking more depth in their relationships and personal growth:Prioritize relationships intentionally: True love in marriage or partnership means loving selflessly, letting go of unrealistic expectations, and putting God (or your highest values) first to love others more fully.Stay present: We often lose sight of small, beautiful moments by focusing too much on the future or past. The real opportunity to love and connect happens in the present.Love goes beyond liking: We're called to love even when it's inconvenient or difficult, whether that's a spouse, a challenging colleague, or the stranger at the grocery store. Willing the good of others, even if you don't “like” them, creates space for growth and understanding.Ester Munt-Brooks is a Catholic educator dedicated to helping ordinary people deepen their faith and apply it to daily life. She speaks widely in parishes and at Catholic events around the United States for both English and Spanish-speaking audiences. She is currently pursuing her graduate education in Theology at the Augustine Institute. Ester also hosts a Spanish language radio show, “Mujer y Palabra,” Tuesdays at 9 am Pacific/12 pm Eastern on Guadalupe Radio Network. ​​​Originally from Barcelona, Spain, Ester has three adult children, two daughters-in-law, and four grandsons. She lives in Reston, Virginia, with her husband, Arthur Brooks.Resources Mentioned1. Guadalupe RadioEster Brooks hosts a radio show on Guadalupe Radio, a Spanish-speaking station in Los Angeles.Website: https://www.guadaluperadio.com/2. The Screwtape Letters by C.S. LewisEster Brooks references "The Screwtape Letters," a book by C.S. Lewis.More information: https://www.cslewis.com/us/books/paperback/the-screwtape-letters/9780060652937/3. St. AugustineQuoted in reference to, “Our hearts are restless until they rest in God.”Background: https://www.britannica.com/biography/Saint-Augustine4. St. John of the CrossReferenced for his teaching: “At the end of time, we will be judged by our love.”Background: https://www.britannica.com/biography/Saint-John-of-the-Cross5. San Josemaría EscriváReferenced as a spiritual influence, specifically a quote about marriage and caring for one's spouse.Background: https://www.opusdei.org/en-us/article/saint-josemaria/6. Dawes ArboretumEric Pennington mentions this location as a personal inspiration and place of reflection.Website: https://dawesarb.org/In each episode, Jeff and Eric will talk about what emotional intelligence, or understanding your emotions, can do for you in your daily and work life. For more information, contact Eric or Jeff at info@spiritofeq.com or visit their website, Spirit of EQ.You can follow The Spirit of EQ Podcast on Apple Podcasts, Android, or on your favorite podcast player.New episodes are available on the 1st and 3rd Wednesdays every month!Please review our podcast Music from Uppbeathttps://uppbeat.io/t/roo-walker/deeperLicense code: PEYKDJHQNGSZXDUEhttps://creativecommons.org/licenses/by-nd/4.0/Spirit of EQMentioned in this episode:Thanks for listening to Spirit of EQThis podcast was created to be a tool to primarily help you to discover and grow your EQ. Science and our own lived experiences confirm that the better we are at managing our emotions, the better we're going to be at making decisions. Which leads to a better life. And that's something we all want. We're glad that you've taken the time today to listen. We hope that something you hear will lead to a breakthrough. We'd really appreciate a review on your podcast platform. Please leave some comments about what you heard today, as well as follow and subscribe to the podcast. That way, you won't miss a single episode as we continue this journey.

On Today's episode, Rhett & Zach address one of the biggest questions in tone: does one really need an always on pedal in their rig?  Big thanks to the sponsor of today's episode, Sweetwater! Make sure to check out all the gear we use here and more: https://www.sweetwater.com/shop/dipped-in-tone/ JOIN US ON PATREON: https://www.patreon.com/dippedintone MERCH: https://www.dippedintone.com/merch FOLLOW US ON INSTAGRAM: https://instagram.com/dippedintone DIPPED IN TONE IS: Rhett Shull  https://www.rhettshull.com Zach Broyles / Mythos Pedals  https://mythospedals.com & https://highvoltageguitars.com Produced & Edited by Addison! https://www.instagram.com/addisonsauvan 00:00:00 Intro 00:00:13 Artificial Intelligence (a real human wrote these timestamps, I promise) 00:07:37 Thanks Patrons!! 00:08:04 Thanks to today's sponsor, Sweetwater! 00:10:18 Life is hard 00:09:22 Rhett's Update 00:12:02 Zach's Update 00:17:08 Hot Take 00:21:40 MAIN TOPIC: Always On Pedals 00:33:36 Let's rant about amp modelers 00:38:50 BBE Sonic Maximizer 00:40:36 Always on EQ pedals 00:43:15 Always on compressors 00:46:19 Somebody make this man a Distressor in a pedal! 00:49:28 Always on overdrives 00:54:00 Learn the fundamentals of gear! 00:56:51 Who wants to see a High Voltage “Amp Day”? 00:57:48 Rig Dip 01:07:30 Zach's Shill 01:09:41 Thanks again Patrons 01:09:48 And thanks again to Sweetwater for sponsoring today's episode BUY COOL GEAR (Affiliate Links): Universal Audio Enigmatic - https://sweetwater.sjv.io/o42Mve Fender Triple Caster - https://sweetwater.sjv.io/qzRMvq Suhr Classic S Antique - https://sweetwater.sjv.io/DyEomG Benson Delay - https://sweetwater.sjv.io/jeEb4b Boss Roland DM-101 - https://sweetwater.sjv.io/K0Nj5A TC 2290 - https://sweetwater.sjv.io/e1oz26 Universal Audio Volt 876 - https://sweetwater.sjv.io/jeko9M Boss Katana 50 Gen3 - https://sweetwater.sjv.io/DyEom5 Shure 545 (new production) - https://sweetwater.sjv.io/ravMyj Echo Fix EFX3 - https://sweetwater.sjv.io/APzZMK Helix Stadium - https://sweetwater.sjv.io/LKVnJa

Most companies treat employee retention as an HR problem.The data from hundreds of P&Ls says it's a leadership problem and the companies that figure that out first are the ones that consistently outperform.Rohit Bassi, McKinsey veteran, private equity operator, and author of People Priority, introduces a framework that is changing how business leaders think about their most valuable asset. Rohit calls it People Quotient, or PQ. Just as individuals have IQ and EQ, companies have PQ. The ones that measure it, invest in it, and build it deliberately are the ones that win.Rohit and, host, Ashish Kothari unpack why retention is not a metric to hand off to HR, why trust is the single most important element of any organizational design, and why the companies winning with small and medium sized businesses are the ones treating talent operations as a core business function not an afterthought.If you lead a team, run a business, or advise organizations on growth, this conversation will change how you think about your people strategy.What you will learn:How successful companies align leadership, structure, and talent systems to elevate their PQThe three leadership traits, drive, empowerment, and velocity, that fuel high performanceWhy most hiring processes are reactive and how to adopt a disciplined, systematic approachThe importance of trust and conflict management in fostering a high-trust cultureHow to use the “CAST” framework, clarity, accountability, structure, and trust for organizational designEpisode Chapters: 03:46 Rohit introduces the concept of People Quotient and how it was born from analyzing hundreds of P&Ls08:00 The three pillars of PQ: leadership capability, organizational design, and talent operations12:00 Why bad managers, not bad companies, are the primary reason people leave29:08 The real cost of attrition34:54 Retention as a leadership trait: what CEOs get wrong43:45 Talent operations: the three things companies consistently get wrong49:36 Why putting people first works from 3-person startups to 10,000 person organizations52:02 Closing reflections: people are not a support function, they are the strategyResources:Connect with the GuestLinkedIn: Rohit BassiRecommended Reading: People Priority The CEOs Blueprint for Winning Talent AcquisitionConnect with the HostLinkedIn: Ashish KothariWebsite: Happiness SquadBook: Hardwired For HappinessYouTube: Happiness Squad ChannelIf this conversation sparked something for you, please subscribe and leave a review, it takes 30 seconds and helps more people discover the show.

Send us Fan MailThis sermon is a practical Q&A session focused on applying theological principles to real-life relational conflicts. We address three key spiritual patterns: Jezebel (unauthorized power), Absalom (weaponizing wounds to build alliances), and Leviathan (subtly maligning character to create distrust). Real questions submitted by congregation members are answered with both pastoral wisdom and practical guidance. The discussion covers a wide range of relational challenges.Series wrap-up for The FractureRecorded live in New Philadelphia, Ohio. Learn more about Legacy Church: https://www.legacychurchint.org/ Sow into what we're doing: https://www.legacychurchint.org/give #thefracture #dearabby #advice #advicevideo #sacredbiology #biodivine #asheissoareweinthisworld #unveiled #conscience #sons #manifestsons #fathers #union #legacychurchoh #newcreation #jesus #church #jesuschrist #gospel #transfigured #revelator #apostle #deathless #immortality #believe #bible #creator #godisgood #grace #hope #sermonshots #sermonclips #holyspirit #love #godislove #kingdom #peace #freedom #memes #truth #inspiration #motivationalquotes #vibes #positivevibes #christ #jesuslovesyou #russellbrand #jordanbpeterson #joerogan #atm #tommymiller #soulintelligence #EQ #emotionalintelligence Support the show

Watch this episode ad-free by joining the ITBR Patreon! ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠patreon.com/ivorytowerboilerroom⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠-----We have quite the guest on for this integral episode of ITBR... Julie Averill is here! She's the former Chief Information Officer (CIO) for none other than lululemon with a huge bandwidth of knowledge concerning A.I and our workplaces.Julie's found that as A.I. automates technical tasks, human skills like EQ, communication, and leading through ambiguity become the key differentiator for successful leaders.How did we get here and what comes next? With nearly 50% of Gen Z opposing A.I. initiatives, there's seemingly a split in its development that tech companies may not have anticipated.Julie Averill's book Chief Impact Officer covering her time growing luluemon is out now! Check out the links below to learn more about Julie and give her book a read!Chief Impact Officer — Julie AverillChief Impact Officer: Real transformation comes from human―not just artificial―intelligence: Averill, Julie: 9798993755380: Amazon.com: BooksAbout Julie Averill-----Follow ITBR on IG ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@ivorytowerboilerroom⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and TikTok ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@dr.andrewrimby⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Be sure to subscribe to our YouTube channel where you can watch video episodes of the podcast: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@ivorytowerboilerroom⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Thanks to our following sponsors! To subscribe to The Gay and Lesbian Review visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠glreview.org⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Click Subscribe and enter promo code ITBRChoice to get a free issue with a subscription purchase. Follow them on IG ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@theglreview⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and TikTok ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@g_and_lr⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Head to Broadview Press, an independent academic publisher, for all your humanities related books. Use code ivorytower for 20% off your⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ broadviewpress.com ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠order. Follow them on IG ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@broadviewpress⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Thanks to the ITBR team! Dr. Andrew Rimby (Host and Director), Mary DiPipi (Chief Contributor), and Sean Penta (Editor)

In Episode 144, James and Gary discuss how to manage unwanted acoustical noise from the drum kit, as well as other instruments on stage, and much more. The Church Sound Podcast is sponsored by DiGiCo and Shure.Check out co-host James Attaway's worship audio academy at www.attawayaudio.com/academy, and also visit our new Instagram page @churchsoundpodcast. James is the author of the Live Mixing Field Guide, a quick-start guide to EQ, compression and effects. Find more from him on the Attaway Audio YouTube Channel and at AttawayAudio.com. Reach him on IG @attawayaudio or contact him via email here.Help insure that techs have a clear target for a winning mix with the free guide “How to Lead Your Church Sound Team” by James, and get a walkthrough on setting up virtual sound check on your console with his “Virtual Sound Check Challenge”.Co-host Gary Zandstra has worked in church production as an AV systems integrator and as a manufacturer's rep for more than 35 years. Go here to check out Gary's extensive library of articles on ProSoundWeb.

"When you listen to Van Halen or Extreme or Steely Dan you expect a great guitar solo. The point of this show is to offer some examples of totally unexpected solos. These are solos in a song or a genre or by an artists that it seems to be coming out of nowhere. "

Breaking down an amazing Comeback at the Bassmaster Open from La Crosse, WI on the Mississippi River by Michael Harlin. From Day 1 DQ at Sam Rayburn to Bassmaster Classic Qualifier and EQ angler.Learn about Supreme Lending Dream Team - https://bit.ly/DreamBigHBHellaBass LIVE now BOOSTED by Power House Lithium - https://bit.ly/HB-PHL————————————————————————▼ SAVE MONEY & SUPPORT HELLABASS ▼Get 15% off at ARSENAL Fishing w/ code: HELLABASS15 - http://bit.ly/ArsenalShopGet 10% off at OMNIA Fishing w/ code: HELLABASS10 - https://omnia.direct/HBOmnia——————————————************************************** #HellaBass #BassFishing #PodcastDisclaimer: Some of the links in this description are affiliate links. If you make a purchase through these links you'll help support this bass fishing channel at no additional cost to you. Win/Win!

I keep hearing the same story from people who are looking for love later in life: they want a relationship that feels good, but they're not always sure how to tell the difference between real compatibility and a temporary rush of attraction.In this episode of Sex Advice for Seniors, I speak with dating and relationship coach Sandy Weiner, chief love officer at Last First Date, TEDx speaker, author of Choice Points in Dating, and host of the Last First Date podcast. We talk honestly about why so many people second-guess themselves in dating, why the spark can be misleading, and how to build a relationship that actually lasts.podcastmarketingmagic.What Sandy shares is practical, refreshing, and deeply useful for anyone navigating dating after 40, 50, or 60. We get into attachment styles, self-trust, boundaries, and the difference between chemistry that fizzles and connection that grows over time.Getting started with sex toys?GITM PLAYBOOK has a fabulous range of toys, plus a handy guide to help you pick the ones that suit you best.Use my code: SUZANNE20 for 20% off.ABOUT SUZANNE:Suzanne Noble is a sex and relationship expert, author, and host of the Sex Advice for Seniors podcast, one of the top-rated shows empowering people 50+ to embrace confident, joyful intimacy. Known for her candid, warm, and often humorous approach, Suzanne challenges age-related taboos, misinformation, and awkward conversations about sex after 50. She helps millions around the world navigate their sexual lives with pleasure, connection, and self-assurance. Because life is too short for bad sex... or silence about it.CONNECT WITH SUZANNE:Instagram: https://www.instagram.com/sexadviceforseniorsFacebook:https://www.facebook.com/sexadviceforseniorsTikTok: https://www.tiktok.com/@sexadviceforseniorsSubstack: https://www.sexadviceforseniors.comWANT MORE?Visit the Website: https://sexadviceforseniors.com — includes FREE guides and resources for better sex at any age.Free Downloadable Guide: 10 Most Overlooked Secrets to Better Sex PDF: https://subscribepage.io/suzannenoblefreebieSign Up for My FREE Newsletter: https://sexadviceforseniors.comOvercome Erectile Dysfunction & Stay Firm: https://www.stayfirmprogram.comCheck Out My Storefront for Better Sex: https://zaap.bio/stayfirmInterested in 1:1 Coaching or Custom Sex Advice for Seniors Sessions? https://tidycal.com/suzannenoble/30-minute-mentoringFollow Sandy Here:Website https://lastfirstdate.com/Facebook https://www.facebook.com/lastfirstdateInstagram https://www.instagram.com/lastfirstdate1YouTube https://www.youtube.com/@LastfirstdateChapters:0:00 Chemistry vs compatibility in dating after 501:16 Meet Sandy Weiner, dating coach and founder of Last First Date2:37 How dating motivation changes for women vs men after 403:09 Why women over 50 second-guess themselves in dating7:38 How long does it take to really know someone you're dating?8:04 What it means to be a woman of value in later life dating9:35 How to identify your non-negotiables and real deal breakers10:08 Sandy's three pillars for confident dating10:41 Why your values get flexible when you like someone (and what to do about it)12:46 Dating in your 50s vs your 20s and 30s: what actually changes13:20 How to state your standards early without being difficult14:10 Why chemistry is harder after 50 and how to recalibrate attraction16:50 Dating after 50: body image, confidence, and doing the inner work18:26 Does therapy make someone a better partner?19:14 Why dismissing people based on checklists costs you great relationships21:31 EQ vs IQ in dating: what emotional intelligence actually looks like23:44 How chemistry develops through shared experience (and what kills it)25:47 Why coffee dates kill attraction and what to do instead28:35 What travel reveals about a partner's real personality32:06 Sandy's one piece of advice for seniors navigating dating and relationships today This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.sexadviceforseniors.com/subscribe

This week on the show, All-In Front Row Dads member Dave Powders pulls out a decade of notes and shares the 5 best lessons he's learned in 10 years of brotherhood. These are the tips that have made him a better father, a better husband, and a more present man at home. Short, practical, and worth your time. What you'll hear in this episode: Tip 1: Your calendar reflects your priorities. From Adam Stock. Why looking at your week tells you the truth about where your attention actually goes. Tip 2: When you take care of yourself, you're better equipped to take care of your family. From Jay Papasan. Why the Miracle Morning, sleep, meditation, and small habits compound into a better dad. Tip 3: The Family Board Meeting. From Jim Sheils. Why a one-on-one day with each kid every 90 days might be the most impactful thing you do as a parent. Tip 4: Ask your kids at night, "What was the best part of your day?" A simple question that helps them go to sleep lighter and opens up the conversation you didn't know they needed. Tip 5: You're not just responsible for your actions. You're responsible for your reactions. From Adam Stock. The meditation practice that grew Dave's EQ and changed how his kids talk to each other.   About the Front Row Dads Brotherhood: Front Row Dads is a community of family men with businesses, not businessmen with families. We've spent the last 10 years building the resources, frameworks, and brotherhood that help dads win at home and at work. If you're ready to be in the room with men who get it, learn more at frontrowdads.com. One More Thing: We just dropped a curated list of the best family games from our community. Card games, board games, dinner table games, and after-dinner favorites. All vetted by 300+ Front Row Dads who play with their families. Free download here: frontrowdads.com/games  

Send us Fan MailCharisma gets too much credit and clarity gets ignored. We sit down with executive coach and leadership development expert Marissa McCourry to unpack what actually creates influence when the stakes are high: knowing which lever to pull, and doing it consistently when things feel fast, messy, and uncertain.We walk through Marissa's “seven levers” framework, built from academic research, enterprise leadership development, and years of coaching Fortune 500 leaders. First, we get honest about what leadership is (and what it isn't): not a title, not prescriptive authority, and not “having all the answers.” From there we dig into self-leadership levers like inner wisdom (calm and decision quality under pressure), values-based leadership (your moral compass in chaos), and strategic confidence (moving without perfect data and escaping analysis paralysis).Then we shift to leading others: your internal brand and the reality of what your team experiences day to day, plus how anonymous 360 feedback can surface the truth without eroding trust. We also make the case for emotional intelligence as the multiplier lever, because EQ determines your relational impact and whether people feel safe enough to speak up. Finally, we connect leadership to execution, including vocal precision in communication and the hidden strengths that are often sitting right under your nose.If you're a founder, manager, or executive working on leadership development, executive presence, communication, and high-performance execution, this is a practical playbook you can apply immediately. Subscribe, share it with a leader who needs it, and leave a review with the lever you're going to pull first.Support the show

We're excited to have Databricks join us at AIEWF, among hundreds of the top companies in the AI Engineer ecosystem. LS subscribers can use their discount to get past the late bird pricing and access over $50k in sponsor offers! Everyone is still talking about Satya's Frontier Ecosystems post, but few have actually built a (now $175 billion) frontier ecosystem and cloud like our guests today.From open-sourcing the layer above coding agents to rethinking databases for the agent era, Databricks cofounders Matei Zaharia and Reynold Xin are pushing the company beyond the lakehouse into a full data-and-AI operating system. In this episode, Matei and Reynold join swyx at the 2026 Data + AI Summit to unpack Omnigent, LTAP, Lakebase, agent security, open formats, Mosaic, and why databases may matter more than ever once AI agents start doing real work.We go deep on Omnigent: Databricks' open-source meta-harness for combining, controlling, and sharing agents across Claude Code, Codex, Cursor, Pi, custom agents, and internal tools. Matei explains why coding agents and enterprise agents run into the same problems: portability, collaboration, session history, security, spend controls, and the need for a common API above every harness.Then Reynold walks through Databricks' database dream: why CDC is brittle enough to joke that it means “continuous data corruption,” why HTAP has been the holy grail of database engineering, and why Databricks thinks LTAP gets most of the benefits by unifying the storage layer instead of collapsing every query engine. We also cover Databricks' infrastructure scale, the culture behind rapid prototyping, the difference between tech and enterprise customers, Databricks vs Snowflake, whether vector databases should have ever existed, the Mosaic model strategy, Genie, AI Runtime, RL fine-tuning, and the thesis that traditional software gets rewritten once the data is in the right place and agents sit on top.Databricks began as a company for the big data era. The origination of Spark from the Berkeley AMPLab which eventually turned into the product Lakehouse convinced enterprises that they didn't need a separate data lake, warehouse, ML platform, and governance layer. They just needed one open foundation where all of their data could live and be reasoned over.Since then a lot has changed, but data has only become more important. Data is no longer something you keep track of and analyze ad hoc, it's the necessary context agents need in order to act. So the framing has shifted from “where do we put all of our data?” to “how do we expose the right slice of state, history, permissions, and business logic to an AI system at the exact moment it's doing work?”If frontier model performance becomes commoditized, the durable advantage then becomes the company-specific context around them: proprietary data, governed access, operational state, transaction logs, workflows, and feedback loops. Which makes Databricks positioned perfectly.Now coming fresh off the Data + AI Summit 2026, the company is moving just as fast to keep up, announcing Genie One, Omnigent, LTAP, and many more, indicating a central mission in its newer work: Databricks is trying to become the operating system for enterprise agents.Models are getting good enough, but agents are only useful if they have the right context, permissions, memory, state, cost controls, and access to live business data. Fundamentally it appears that significantly better model performance in production is a systems problem, one that data guys like us are remarkably well prepared to solve!We discuss:* Why Databricks built Omnigent as a meta-harness above existing AI agents* Why coding agents and custom enterprise agents need the same infrastructure* The common API for agent sessions, files, streams, tool calls, and cancellation* Why persistent sessions, cloud sandboxes, sharing, search, and collaboration matter* Why Databricks open-sourced Omnigent instead of keeping it proprietary* Databricks' internal agent usage, cloud sandboxes, and coding workflows* The scale of Databricks: 50–60 million virtual machines a day and exabytes before breakfast* Why agent security needs contextual and stateful policies* How an agent could read confidential docs, install a compromised npm package, and leak data* Why spend control matters when an agent can burn $500 reading logs* Startup opportunities around coding-agent analytics, quality, skills, and spend* LTAP, Lakebase, and why Databricks wants to rethink the database stack* OLTP vs OLAP, CDC, and why data pipelines break at 3 a.m.* Why HTAP has historically been the holy grail of database engineering* Why Databricks thinks LTAP is “HTAP done right”* How writing transactional data into column-oriented formats changes analytics* Why agents need live operational context from databases, not just telemetry* How Databricks prototypes strategic systems without endless process* Enterprise vs tech customers, governance, procurement, and DIY culture* The “second system syndrome” risk of rewriting a database engine* Building a database engine from a decade of traces and quadrillions of data points* Why vector databases should never have been a separate category* Why open formats and AI changed the race with Snowflake* The Mosaic story, DBRX, Genie, document parsing models, and specialized model training* Why model customization and RL fine-tuning may become mainstream* Why “get the data there, slap some agent on top” may rewrite traditional softwareMatei Zaharia* LinkedIn: https://www.linkedin.com/in/mateizaharia* X: https://x.com/matei_zahariaReynold Xin* LinkedIn: https://www.linkedin.com/in/rxin* X: https://x.com/rxinDatabricks* Website: https://www.databricks.com* X: https://x.com/databricksTimestamps00:00:00 Introduction00:02:22 Omnigent and the Agent Infrastructure Layer00:08:39 Agent Clouds, Common APIs, and Open Source00:16:52 Databricks Scale and Internal AI Workflows00:18:03 Agent Security, Governance, and Spend Controls00:27:34 LTAP and the Database Dream00:30:30 CDC, HTAP, and Why Data Pipelines Break00:34:05 Lakebase, Parquet, and Live Data for Agents00:36:47 Databricks' Culture of Fast Prototyping00:43:40 The Dream Engine and Rewriting the Database Stack00:51:02 Vector Databases, Query Engines, and LTAP00:52:36 Databricks vs Snowflake00:57:48 Mosaic, DBRX, Genie, and Specialized Models01:03:11 Context, AI Runtime, and RL Fine-Tuning01:06:15 Why Data + Agents May Rewrite Software01:07:09 Closing ThoughtsTranscriptIntroduction: Databricks, Data + AI Summit, and Founder DynamicsSwyx [00:00:00]: Matei and Reynold from Databricks, welcome to Latent Space.Reynold Xin [00:00:06]: Hey, thanks for having us.Swyx [00:00:07]: Yeah.Matei Zaharia [00:00:08]: Yeah, thanks so much.Swyx [00:00:09]: thanks for taking time out. You have your Databricks, Data AI Summit going on. You were just telling me how the first summit that you guys ran was just 50 peopleReynold Xin [00:00:17]: Yeah, it wasSwyx [00:00:17]: in BerkeleyReynold Xin [00:00:18]: little meetup at Berkeley, I thinkMatei Zaharia [00:00:19]: YeahReynold Xin [00:00:19]: put togetherMatei Zaharia [00:00:20]: We were doing these tutorials and, yeah, just teach people Spark.Swyx [00:00:23]: Yeah. obviously now it's like, I think like the headline number's like 100,000 people around the world, 30,000 in person.Swyx [00:00:30]: it's a crazyMatei Zaharia [00:00:31]: AmazingSwyx [00:00:31]: community. Well, I just saw the keynote.Swyx [00:00:35]: Ali's just. Did was it obvious or that back when that Ali would be, like, such a great, like, CEO? LikeReynold Xin [00:00:42]: OhSwyx [00:00:42]: such a great presenter?Reynold Xin [00:00:43]: What do you think?Matei Zaharia [00:00:44]: I think among our group of founders it was clear that, I think he'd be the best at this.Swyx [00:00:50]: Yeah.Matei Zaharia [00:00:50]: And yeah, it turned out great. And he's, he's ramped up on so many topics growing a company. He would just go in and, like, study it and, be talk to all the experts. Like, even if he can't hire the person, learn enough about, like, finance and sales and whatever it was, and, and go from there. Yeah.Swyx [00:01:09]: Yeah.Reynold Xin [00:01:10]: he's obviously very high IQ and a very high EQ, but it wasn't. Like, Ali today is quite different from Ali from, like 10 years ago. I think there's a lot of work that he put in to, get to this point.Swyx [00:01:20]: Yeah. no, to me the most appealing thing about him is that he's funny. And like, it, it's, it'Matei Zaharia [00:01:26]: It's true, yeahSwyx [00:01:26]: it's hard to make jokes about, data warehousesReynold Xin [00:01:30]: About serious topicsSwyx [00:01:31]: securityMatei Zaharia [00:01:32]: YeahSwyx [00:01:32]: what have you.Matei Zaharia [00:01:33]: Oh, yeah. That's for sure.Swyx [00:01:34]: Yeah. So you guys launched a whole bunch of things. I'll, I'll just name check briefly, the stuff because we're not gonna cover everything. Omnigentt, your baby. LTAP, your baby, your dream engine.Swyx [00:01:47]: we're also gonna cover Genie, cover CustomerLake, you acquired PantherMatei Zaharia [00:01:52]: YeahSwyx [00:01:52]: Open Sharing, and there's Unity AI Gateway. A lot of these, I think, like, are things that you would expect a Databricks to do. It's, it's like part of the roadmap. Everyone in your category has similar things. But I think, probably the two of you are leading the two most unique and differentiated initiativesOmnigent and the Agent Infrastructure LayerSwyx [00:02:09]: on, in the landscape. Maybe we'll start with, Omnigentt we'll, we'll, we'll, we'll go into it. I do think that a lot of people are exploring this meta harness concept.Matei Zaharia [00:02:21]: Yeah, totally.Swyx [00:02:21]: What led you to it?Matei Zaharia [00:02:22]: Yeah. There were a couple of, like, converging lines, which I think is a good sign that you need something new. So on the one hand, there's all the coding agent info internally. We have really great, dev infra team. they built something called Isaac, that's like a wrapper on Claude Code and Codex, and, lets you use them either on the web in, like, sandboxes or, just on your dev machine or on your laptop or whatever. And then, they were adding all kinds of stuff there. And we saw all the more advanced engineers like, were building their own workflows with tons of agents, and they were building their own UIs and stuff on top or even on top of that. And then the other one was, like, us building agents. We ship this, like, data science agent called Genie on the research team, which I lead. We also build a lot of internal ones for various things, and then we have all the customer ones. And all of them running into this thing of like, “Oh, I need to switch model and harness and so on,” every few months. Plus the agent is, like, completely useless if you can't share sessions with someone and have history and have search and all this, like, layer on top of it for collaboration. I thought a bit about it from both contexts and, at first people thought it was weird. They're like, “Why are you doing coding agents and custom agents in the same thing?” But I said it's, it's the same problems and, you just wanna build the stuff that lets you deliver the agent, maybe control it if you care about security, and, make it portable across things. And then we prototyped some things as experiments. We saw, yeah, we can make it work, and then we built that for real.Swyx [00:04:06]: I'm wondering if this let's call it architectureMatei Zaharia [00:04:11]: YeahSwyx [00:04:11]: maps to anything in your careers in the past. like I always think about how a lot of things just tie back to operating systems.Swyx [00:04:18]: A lot of operatingMatei Zaharia [00:04:19]: YeahSwyx [00:04:20]: systems tie back to databases,Matei Zaharia [00:04:21]: SoSwyx [00:04:21]: or the other way aroundMatei Zaharia [00:04:22]: so the thing, I do think it ties a lot to, like, network protocols, internet protocol. we alsoSwyx [00:04:29]: Communication between entities.Matei Zaharia [00:04:30]: Yeah. We did stuff with, like, data sharing also, which is probably, most viewers probably won't know unless they'Swyx [00:04:36]: Yeah, open protocol is the term.Matei Zaharia [00:04:37]: Yeah.Swyx [00:04:38]: Open sharing. Open sharing.Matei Zaharia [00:04:38]: Open sharing.Swyx [00:04:39]: Yes.Matei Zaharia [00:04:39]: Yeah. So it's like you have a company, you maintain some table, like let's say like a Walmart or something. They have like the, inventory and what's been sold in each store. And then you also have suppliers, and they would love to produce more things and ship them, like, exactly the moment you need them. So they would love, like, real-time access to your table. So instead of like sending emails around or Excel sheets or phone calls, why can't you share like a view of that table in real time with them? Then they query, they, join it with their data, and they decide what to send. So it's one of these things where you, like you might ask like today since we can vibe code anything so fast, why do we even need to design like protocols or APIs or software? Why can't you just vibe code things on demand? But for this type of interoperability where multiple parties that are moving at different speeds are building stuff and you still want some layer on top to coordinate, you do wanna design it and build it. So it reminds me of that, like agents talking to each other and, users talking to agents and tools.Agent Clouds, Cloud Sandboxes, and Keeping Sessions AliveSwyx [00:05:42]: Reynold, any other comments alternative viewpoints?Reynold Xin [00:05:46]: I think, by the way, we had a debate on exactly which set of benefits would, matter a lot, and I think around the time we decided to do this thing I was telling Matei, “Hey,” it just happened to be there's a particular week that I was coding nonstopSwyx [00:06:00]: from the moment I woke up to, like, the moment I went to bed, I was, like, looking at my Claude sessions, my Codex sessions. And one of the things that was particularly annoying was having to keep my laptop open.Swyx [00:06:12]: I was driving to a doctor's appointment, and I remember because I wanted to make sure the whole thing continues working.Matei Zaharia [00:06:18]: But by the way, it's so comforting to hear you say that because I'm like, “I don't know if I'm a clown and I'm doing this or like.”Swyx [00:06:25]: Yeah. Like honestly, I was driving and I was tethering my laptop to my phone.Matei Zaharia [00:06:29]: huh.Swyx [00:06:29]: Keeping it on the side. Whenever I hit a red light, I started looking at what's going on my laptop.Matei Zaharia [00:06:35]: Yeah.Swyx [00:06:35]: And I just felt that was ridiculous.Matei Zaharia [00:06:37]: Yeah.Swyx [00:06:37]: It felt like we went back to the dark agesMatei Zaharia [00:06:39]: YeahSwyx [00:06:40]: programming. the productivity you gain from all this coding age is amazing, but, yeah.Matei Zaharia [00:06:45]: Have you heard of cloud?Swyx [00:06:47]: Yeah.Swyx [00:06:48]: It was crazy to me.Matei Zaharia [00:06:49]: Oh, the thing you were working on was the sandboxes or was this before that?Swyx [00:06:52]: It was a sandbox.Matei Zaharia [00:06:53]: Okay.Swyx [00:06:54]: I was workMatei Zaharia [00:06:54]: So you were inSwyx [00:06:55]: So I was approaching from a very different angle. I wanted to, “Hey, we're gonna have cloud sandboxes that doesn't shut down. You can get one very quickly,” but not just for running agentic sessions.Matei Zaharia [00:07:06]: Yeah.Swyx [00:07:06]: It's also for running development. So I was personally building that week, and through building that, I ran into all these issues, and then I wroteMatei Zaharia [00:07:15]: YeahSwyx [00:07:15]: a document for Matei, it's like, “Here's my wish list of what the actual environment should do.” And I think he ended up almost implementingMatei Zaharia [00:07:22]: YeahSwyx [00:07:22]: every single one of them.Matei Zaharia [00:07:23]: Yeah, I remember Reynolds saying, ‘cause my first prototype of this had just chats with your agent and he said, “I have to be able to open a shell, like my own shell and like list files and like tail them and stuff.” SoSwyx [00:07:36]: So SSH into a mainframe.Matei Zaharia [00:07:37]: Yeah. it has that now.Swyx [00:07:39]: Tailing my log.Matei Zaharia [00:07:40]: Yeah.Matei Zaharia [00:07:41]: Yeah.Swyx [00:07:41]: And also another thing I think I asked was, I had. I still use cursor for the sole purpose of rendering markdown files.Matei Zaharia [00:07:48]: huh. Yes.Swyx [00:07:49]: So I said, “If you just give me a way to see my markdown files and renderMatei Zaharia [00:07:53]: YeahSwyx [00:07:53]: them properly, I don't need a separate tool anymore.”Matei Zaharia [00:07:55]: Yeah.Swyx [00:07:56]: And I think you also built that in.Matei Zaharia [00:07:57]: Yeah, we, yeah, we did that, yeah. Yeah, we had a lot of engineers building, their own vibe coding setup. But then the other thing they all said is like, “Hey, I built something that's amazing for me, but, like, no one else on the team can use it ‘cause I don't have a server to collaborate.” And this is why we tried to set up, Omnigent, so you can have a server and have the security, set up in there. So, like log in with Google or whatever and, like securely share stuff. which. And that's where we've seen a lot of other agents like hit things. Like people think they prototyped an awesome agent, but it's not allowed to connect to like some really important data or whatever because of the security team.Omnigent Architecture, Open Source, and Common APIsSwyx [00:08:38]: Yeah.Matei Zaharia [00:08:38]: So yeah.Swyx [00:08:39]: Yeah. At this point, so for those watching along on YouTube, we're gonna putting up a image of the structure here, and we can talk a little bit of the architecture. I think I just want to have people understand, ‘cause like when we're talking about software, it can be very abstract and like here is what we're talking about. You've worked out in open source this entire platform and there's a runner component and server component with a uniform API that you've, you've figured out. any other element and obviously you can plug in all this, persistence layers and compute layers. This is a whole cloud. It's an agent cloud.Matei Zaharia [00:09:12]: Yeah. It's, it's got these components to work with it. The, a lot of the action happens like on the machine where you deploy your agent too. So whatever you've got on there, you can run. But yeah, it's, I think it's the minimal thing you want to have hosted, like collaborative agents and to have that server. And one of the reasons we open sourced it is, anyone building agents, this gives them an app they can start with and customize, which we were seeing in Databricks too. Like someone would make a nice, agent app and then other teams would ask, “Oh, can I just use yours for my agent?”Swyx [00:09:45]: Yeah, I think we had like five or six different agentic frameworksMatei Zaharia [00:09:48]: YeahSwyx [00:09:48]: built by every different team. They do all do more or less the same thing. Yeah, you need to. people wanna take something that works in Forkit, and you might as well have something open source. Yeah, which also was another question, which is interesting for Databricks. Like what do you choose to open source? What do you choose to make it proprietary? It's in. this goes back to Spark, right?Matei Zaharia [00:10:05]: Yeah.Matei Zaharia [00:10:06]: One, so one of the reasons to open source something is if you think it's a layer that will there'll be some network effect, it'll benefit from many, people collaborating, on it. So, for example, with Spark, I don't know if when Spark came out, we also focused a lot on letting you have libraries on top. So like there used to be differentSwyx [00:10:28]: EcosystemMatei Zaharia [00:10:28]: distributed computing engines for like machine learning and graph computation. We said they should all be libraries that you can compose. And we made it super easy to add connectors to data sources too. And then we benefit because, we don't have the time to write like connectors to like, 1,000 like different databases and file formats, but we can just use the ones people make, and of course they benefit from joining, this thing. So that's like one of these as it. Another way to think about it is like imagine, we our thing wasn't open. We had some agent hosting thing, but it's not open and then there is an open one. if you're. Which one's gonna win in the long run? So like here, because there is this benefit from like people writing integrations, it'll be, it'll be that. And then there are other things that like you just can't, even deliver as open source that are things the company does. Like for example, how do you make sure you're like streaming, jobs or your Lakebase database doesn't like, lose all your data at night? Well, that requires an operational team that's gonna sit there. There's no way it has to be a service. So like we wanna make sure as a company we're really good at those infra services and then we're as open as we can in terms of like what you build on top.Swyx [00:11:42]: speaking from a benefits, I think we are already seeing pull requestsMatei Zaharia [00:11:45]: YeahSwyx [00:11:45]: of all kinds of ecosystem integration, even though it was only released on Saturday.Matei Zaharia [00:11:50]: Yeah, Saturday. Yeah. So someoneSwyx [00:11:51]: Let's see, let's see what's going on. Yeah, you can look at the merge ones. I asked Sam Nigon this morning aboutMatei Zaharia [00:11:59]: 400 merge already?Matei Zaharia [00:12:00]: Yeah. I think Recent quite, I would guess around half are not from our team. but for example, someone added support for running it on Kubernetesrnetes. people added, many cloud sandboxes, so this can launch a cloud sandbox and run your agent in there, which is great for sharing too, ‘cause it's not, like, on your laptop and someone's, like, running scary code on there. so yeah, many startups have put those in, and, we expect to see more of them. We also have more agent harnesses already. Cursor, CLI, and Antigravity also.The Modern Data Stack and the Emerging AI StackMatei Zaharia [00:12:34]: Yeah. That's all, beautiful. And I, I feel like the last time this happens, there was the rise of the modern data stack.Matei Zaharia [00:12:42]: I don't know if it's that useful. I'm, I'm curious in your postmortem.Matei Zaharia [00:12:46]: I think most peopleSwyx [00:12:47]: AgreeMatei Zaharia [00:12:47]: will agree that it is finally dead. but maybe this arises to a new modern AI stack that, like, does the same thing.Matei Zaharia [00:12:52]: I don't know.Reynold Xin [00:12:54]: I think the modern data stack was a pretty useful thing, probably even up until this day. I think what, maybe for the audience who don't understand the history, I think the modern data stack is effectively decomposed into you need a layer to ingest the data in, you need a layer to transform your data, and then all of this are run, and then you need a layer to maybe visualize your data. And all of this runs on some data warehouse, or later on, as we're doing data warehouse or lakehouse.Reynold Xin [00:13:21]: I think that concepts are all very powerful and very useful. They enable a lot of workloads. What people eventually run into is a question of unification and consolidation is, hey, do you really need to chop all this into different pieces and work with so many different vendors and platforms in order to get, like, a very simple visualization done, right? So I think, like, over time, everybody started realizing that customers are pushing us. We started, we can realize that, so we started building more and more capabilities and trying to consolidate. And at the end of the day now, customers don't have to worry about having me hook up five different systems in orderMatei Zaharia [00:13:55]: YeahReynold Xin [00:13:55]: produce a chart. But the. I think, honestly, something like this is probably happening, in how many different frameworks do you want to hook up together in order to produce, like do a very simple agent.Matei Zaharia [00:14:06]: Just to be clear, I would say the core of this is this common API on top of all the harnesses. So the API is like, you've got an agent session, and you can send in a message or, like, a file. That's what you can send in, and then you get out, these streams as it's streaming text or as it's doing tool calls. And, or the other thing you can send in is you can, like, tell it to cancel a turn. So that's the API. Now, the thing we did is we could get you that on top of, like, cloud code running in a terminal, Codex, Py, OpenAI SDK, all that stuff. We map them all to that same interface. So that is something that you'd have to maintain yourself if you built your own, like, agent orchestrator, and then whenever cloud changes its API, you gotta, tweak your thing or it's gonna lose some messages. So that's the thing that's valuable to maintain. Then on top of that, like, we built a few apps. I think we built a pretty cool UI and stuff, but that's, And we built a security and control piece, which I'm excited about. But it's that common interface, so we don't. We. That doesn't try to be a stack. And in fact, you could plug in your own UI on top of this, server. That, and that's one of the use cases we care a lot about, ‘cause we want to use this in our own products.Compute, Sandboxes, and Databricks ScaleSwyx [00:15:20]: Yeah. It should be everywhere.Matei Zaharia [00:15:22]: Yeah.Swyx [00:15:22]: I think one of those things that is really interesting to me is, like, well, first of all, I'll, I'll endeavor to do everything and not call it the modern AI stack because like it needs a different name.Matei Zaharia [00:15:32]: Yeah.Swyx [00:15:32]: But like, yes, like, so one of the first people that told me about compute, sandboxing was Nikita from Neon.Swyx [00:15:39]: Because a lot of people think about Neon as like, well, it's serverless Postgres with, like, the separation of compute and storage and, instant branching and all those things. But every database company is also a compute company.Matei Zaharia [00:15:51]: Yeah. Yeah.Swyx [00:15:52]: And so he was showing to me his whole, his sandboxing solution. I don't think he have ever launched it.Matei Zaharia [00:15:57]: So our sandbox solution, the reason we could build it so quickly was because we realized if you just take the actual Lakebase architectureSwyx [00:16:05]: YeahMatei Zaharia [00:16:05]: and remove the database from it, by the coming from NeonSwyx [00:16:08]: Exactly, rightMatei Zaharia [00:16:09]: you have this sandboxSwyx [00:16:09]: Every database company has it already, yeah.Matei Zaharia [00:16:11]: Now, there are some differences. For example, in the one to support this particular workflow, it's important to have local persistence,Swyx [00:16:19]: YeahMatei Zaharia [00:16:19]: because you want your state to persist. Your libraries, you don't have to install your library every time, right?Matei Zaharia [00:16:24]: whereas the Neon architecture, because of the separation of storage from compute, you don't need persistent local disk.Swyx [00:16:30]: Yeah.Matei Zaharia [00:16:30]: So there's some differences.Swyx [00:16:32]: Yeah.Matei Zaharia [00:16:32]: But the, at the end of the day, yeah, it's, Yeah, so this is when you run, like, a coding sandbox. Like, if I use it, yeah, we have the dev env internally at Databricks. There's, like, many, like, tens of gigabytes of data just for, like, all the source code and, like, artifacts and stuff that I built, and I want that to come back next time, so.Matei Zaharia [00:16:51]: Yeah.Matei Zaharia [00:16:51]: But yeah.Matei Zaharia [00:16:52]: Before the show, we was talking about some statistics that might be surprising at the adoption.Matei Zaharia [00:16:56]: It could be internal, it could be external, whatever comes to mind, just to impress people the scale this is happening.Swyx [00:17:02]: So we, on the analytics side, I think we launchedReynold Xin [00:17:06]: Maybe 50 or 60 million virtual machines a day across all three clouds, so we're one of the biggest compute orchestrators out there.Reynold Xin [00:17:13]: Stuff for sure for CPU compute.Swyx [00:17:14]: Yeah.Matei Zaharia [00:17:14]: Yeah.Reynold Xin [00:17:15]: the. And all of this process, I think exabytes of data, I joked about depending on which time zone you are, typically before you have breakfast, Databricks would have processed exabytes of data already on that day. and on Neon, it's pretty interesting, too. It's launching, I think, 13 million databasesSwyx [00:17:34]: YeahReynold Xin [00:17:34]: a day now.Swyx [00:17:35]: Yeah, to me that was, like, aReynold Xin [00:17:36]: And that's just likeSwyx [00:17:37]: Like, what do you mean?Matei Zaharia [00:17:38]: Yeah. And that's the point.Reynold Xin [00:17:40]: And a lot of those were thanks to agent- agents and branching experimentationSwyx [00:17:44]: YeahReynold Xin [00:17:44]: because we made it so easy and so quickly, and thanks a lot to Nikita's team, to launch databases. It's, the. So it's changing the way people use databases.Swyx [00:17:54]: Yeah. Okay, we're gonna go into more database talk in a bit, but I wanna make sure we close up anything on Omnigentt. you mentioned, you were excited about the securityOmnigent Security, Contextual Policies, and Spend ControlsSwyx [00:18:03]: control side.Matei Zaharia [00:18:04]: Yeah.Swyx [00:18:04]: a lot of companies are figuring that out right now, as well as the spend side.Matei Zaharia [00:18:08]: Yep.Swyx [00:18:09]: what have you found there?Matei Zaharia [00:18:11]: Yeah, so I spent quite a bit of time talking to internal users, developers, security team, managers, and also lots of customers, and there's a few things. Like, first of all, one thing, that immediately was. became obvious is for security, there's this tension between, like, usability and security. And, the way people do. Like, a lot of coding agents today have very basic things like you can tell me which tool patterns I'll allow or disallow or whatever. It's like yes or no. But that puts you in a very tough spot. So just as an example, like, should my agent be able to read, some confidential documents, or let's say, should it be able to install new packages from npm, which, maybe it's compromised. Yes or no? Like, maybe I wanna allow it. Should my agent be able to publish stuff to the company website? Well, if I'm using it to code on the website, yes. But should it be able to do both, so it can, like grab a confidential document and be prompt injected and leak it? Probably not. So the thing we decided we need is stateful or what we call contextual policies where you keep track of the state of that session. It's not like is it allowed to push to the marketing site or not, but, like, hey, if it did a risky thing, like it installed, a old package from npm, or it read, like, 1,000 confidential docs, then no. Then don't, don't do it. Otherwise, maybe it's okay. That's one example of, like, moving that trade-off so it's both more secure and more useful by having a more powerful engine, essentially. This requires tracking sessions. The other piece that was interesting there is, like, there are these very level events it's doing, and you want some libraries on top that parse them. Like, for example, we have a, MCP server on Google Drive internally. It's got 60 API calls. like, how do I know which of those, like, will share a document with stuff on the internet and which ones won't? It's, it's annoying. So we designed in Omnigentt the policy layer so that it's functions and you can have libraries. Like, someone can make something that maps the level events to high-level ones, and then you write a policy about the high-level things that came out. so and thatSwyx [00:20:25]: This is related to the Panther,Matei Zaharia [00:20:27]: Yeah, Panther is. will help with that. PantherSwyx [00:20:30]: YeahMatei Zaharia [00:20:30]: a similar idea on the event processing side, and it's Python-based versus a weird custom language. this is more, as in realSwyx [00:20:39]: I didn't even know we were good yeah.Matei Zaharia [00:20:41]: Those things are happening, yeah.Swyx [00:20:42]: Yeah.Matei Zaharia [00:20:42]: So yeah, but these are the cool things. I think the contextual or stateful part, and then the way it can be libraries, and that was another reason to make it open source because others will write libraries and, like, we and our customers can use them. And the final thing, because it's stateful, one of the states we track is how much you spent in that session. So I can. I've had, like, I ask an agent to debug something, and it spent $500 because it decided to read a lot of log files and burn a lot of tokens. but I can literally say, “Okay, launch a agent to do this and cap it to spending $5.” Like, ask me for permission if it needs more. And because we're counting that within that session, it'll pop up and tell me, “Okay, you spent five, $5. Do you wanna go on?”Reynold Xin [00:21:27]: So important context here. Matei spent the last five years, a lot of his time was architecting Unity Catalog at DatabricksMatei Zaharia [00:21:34]: YeahReynold Xin [00:21:34]: which is the governance layer for data.Matei Zaharia [00:21:35]: That's right, yeah.Reynold Xin [00:21:36]: And he's combining expertise at that layer together with all the AI governance he knows.Matei Zaharia [00:21:41]: Yeah.Swyx [00:21:41]: DoMatei Zaharia [00:21:41]: But I also spent a lot of time being annoyed by coding agents and getting prompts.Matei Zaharia [00:21:46]: And also as theReynold Xin [00:21:48]: All the aboveMatei Zaharia [00:21:48]: I don't want to end up on the front page as, like, I installed some weird npm package and leakedSwyx [00:21:53]: YeahMatei Zaharia [00:21:53]: all the code, so I'm especially paranoid. But also I have very little time, so I don't want to sit there approving, like, do you want to run a 20-line, bash script, yes or no? so that's why I spend a lot of time figuring out, like, how can I make it as safe as possible and not annoying?Swyx [00:22:10]: Yeah. Is safety and mmm, let's call it security a bigger concern than token maxing or token budgets? which one is, likeMatei Zaharia [00:22:19]: Oh, yeah, they're both there. I don't know. I guess it depends on the type of company you are. So I think, some companies, like, the budget is, limited and, they really care about thatSwyx [00:22:34]: you can be Uber and still be concerned?Matei Zaharia [00:22:36]: Yeah. Oh, yeah, totally. Yeah. If you haveReynold Xin [00:22:38]: for us, securityMatei Zaharia [00:22:39]: YeahReynold Xin [00:22:40]: super paramount.Matei Zaharia [00:22:40]: For us, security is absolutely critical as a, cloud provider. It's, it's the most important thing, and, token maxing, we're not so worried about it yet, but I've seen the Like, for example, I talked to some consulting companies. They have, like, 100,000 employees who are all coding for customers. If those each spend, like, an extra $1,000 a month, that's, that's not fun.Swyx [00:23:04]: YeahMatei Zaharia [00:23:04]: we have, like, only a few thousand engineers.Swyx [00:23:06]: What's the policy in Databricks? Is it just unlimited or what'Matei Zaharia [00:23:08]: It's, it's unlimited, but we do. we use our own product to, like, analyze the traces and stuff, and we have a team that'looking to optimize and to see if anyone's doing something weird. And, we had some really cool insights just from analyzing current traces, like whichSwyx [00:23:24]: YeahMatei Zaharia [00:23:25]: models are better at, say, Rust versus like TypeScript or whatever. So yeah, at least in our code base.Swyx [00:23:31]: Yeah. Amazing. Obviously, I have to ask the token question, obviously.Matei Zaharia [00:23:34]: Yeah.Swyx [00:23:34]: I think it'sReynold Xin [00:23:34]: YeahSwyx [00:23:34]: it's a key thing. But yes, security and control above that, and figuring out a sane layer there you can have some autonomy, but, not too much.Matei Zaharia [00:23:43]: Yeah. Yeah, and we wanna make it super easy. As a engineer, you should set a thing. So in Omnigentt, you can ask your agent, “Set a policy on yourself to do this.” So it can likeSwyx [00:23:52]: But if there's something I should be showingMatei Zaharia [00:23:53]: YeahSwyx [00:23:53]: I don't, I don't see it on the GitHub, but,Matei Zaharia [00:23:55]: Oh, yeahSwyx [00:23:56]: there's justMatei Zaharia [00:23:56]: Well, in the docs there's something.Swyx [00:23:57]: Yeah, this is it.Matei Zaharia [00:23:58]: You can look at it later.Swyx [00:23:59]: Okay. Yeah.Matei Zaharia [00:23:59]: Just look in the docsSwyx [00:24:00]: YeahMatei Zaharia [00:24:00]: contextual policies if you wanna see.Swyx [00:24:04]: I just like to point peopleMatei Zaharia [00:24:05]: look at the built-in policies.Swyx [00:24:06]: Yeah.Reynold Xin [00:24:06]: Yeah.Swyx [00:24:06]: If you want to, follow up on this is exactly where to look, right?Reynold Xin [00:24:10]: Yeah.Matei Zaharia [00:24:10]: Yeah. yeah, and the story of these is, like, I just wrote, like, I wrote a doc with like 10 ideas for things before as you were working on them. Well, that was, like, my wish list of things people asked, and I told the team, like, “Hey, can you do like at least five of these for the launch?” And then they just got back with all of them, so.Swyx [00:24:29]: Oh, wow.Matei Zaharia [00:24:29]: so you can come up with more, but them- some of them are just meant to be examples. really you can intercept, like, any event the agent is making, and you can then either block or force it to ask the user or, like, allow, and you can update state to keepSwyx [00:24:45]: YeahMatei Zaharia [00:24:45]: track stuff.Swyx [00:24:46]: Yeah, ‘cause ultimately you're, I think of you as, like, a systems designer.Swyx [00:24:50]: You let people plug in, right? That's the wholeMatei Zaharia [00:24:51]: YeahSwyx [00:24:52]: modus operandi of what you do.Matei Zaharia [00:24:53]: Yeah.Swyx [00:24:54]: It's likeMatei Zaharia [00:24:54]: And we care a lot about also composab- like, can someone else write a library that others use, whichSwyx [00:24:59]: YeahMatei Zaharia [00:24:59]: this is meant to.Reynold Xin [00:25:00]: There's also a batteries included philosophy hereMatei Zaharia [00:25:03]: YesReynold Xin [00:25:03]: probably very similar to how you did Spark, which is you could just start using.Swyx [00:25:06]: Yeah.Matei Zaharia [00:25:06]: Yeah, that's right. It has to be good out of the box at certain things, and then you can build your own things on top that, like, we don't wanna do. But in Spark, if you just wanna like, I don't know, like read a table or do, like, a aggregation, it should be awesome at that out of the box.Building on Omnigent: Contributions, Startups, and AnalyticsSwyx [00:25:23]: Yeah. People wanna catch up on Omnigentt, they should watch your keynote.Swyx [00:25:26]: they should go through the GitHub and the docs. If they wanted to contribute, or they want to build on this ecosystem what would you call out as the most high-leverage places get involved?Matei Zaharia [00:25:36]: Yeah, do get involved in the Discord and in GitHub. Our team is there, is monitoring, and, some of the things people ask for we just built ourselves. Some of them, we're, we're collaborating with them to build it. and also tell us, likeSwyx [00:25:49]: Yeah, they're gonna be veryMatei Zaharia [00:25:49]: how you would like to use it because I think especially for developers, like, everyone wants it to work their own way, and a really good developer tool, like you have to hear the feedback on all the ways and figure out the abstractions and how to let people customize. So we'd love to hear, like, if you think, “Hey, I, I don't want it to work this way,” tell us. We really just wanna get that compatibility layer across agents and then let you do stuff on top.Swyx [00:26:14]: Yeah. is there any, in terms of like the startup side, I'm, I'm a founder.Swyx [00:26:18]: I wantMatei Zaharia [00:26:18]: YeahSwyx [00:26:18]: I see an opportunity, I wanna get in front of you. What's your request for, like, a startup that, like, I wish someoneMatei Zaharia [00:26:23]: Oh, like you wanna integrate with us?Swyx [00:26:24]: someone was working on this.Matei Zaharia [00:26:26]: Oh, for a startup?Swyx [00:26:27]: Yeah.Swyx [00:26:28]: Like, your, you got your own startup. It's doing well.Matei Zaharia [00:26:30]: Yeah.Swyx [00:26:30]: But like, if you weren't working on your own startup, what is, like, obvious that you should You advise many startups too, obviously.Matei Zaharia [00:26:37]: I do think, just as a company with a lot of engineers, like anything that helps me make sense of how people are usingSwyx [00:26:46]: SpendMatei Zaharia [00:26:46]: coding agents and,Swyx [00:26:48]: Yeah. AnalyticsMatei Zaharia [00:26:48]: spend, but also quality or like you should write, you should add this skill, or you should write this thing, or your agents are really horrible at tasks involving this service, so I go spend time. That would be nice. yeah.Swyx [00:27:00]: Yeah. The closest I've found is, this team, GitAI.Matei Zaharia [00:27:03]: Oh, cool. Yeah.Swyx [00:27:04]: They started with, like, we will just do, code and human attribution, but they're building the analytics layer on top of that.Matei Zaharia [00:27:12]: Yeah.Swyx [00:27:12]: I do think, like, there are a bunch of, like, artificial analysis is obviously,Matei Zaharia [00:27:18]: Yeah, they have their benchmarksSwyx [00:27:18]: doing super wellMatei Zaharia [00:27:19]: YeahSwyx [00:27:19]: with their stuff. so there's, there will be people. I think this is like the domain of consultants first, but then peopleMatei Zaharia [00:27:26]: YeahSwyx [00:27:26]: will build software that, let's say, it's kinda like the management planeMatei Zaharia [00:27:29]: YeahSwyx [00:27:30]: for coding agents.Matei Zaharia [00:27:30]: Yeah, I think there'll be a lot of insights there. You have it in other areas.Swyx [00:27:34]: Okay. Well, and then the other, big thing is your dream engine.LTAP: Lake Transactional/Analytical ProcessingSwyx [00:27:39]: maybe you wanna tell the story of, LTAP.Reynold Xin [00:27:45]: So, and background with. I'm, I'm gonna make people listen to our Ankur Goyal episode where we talked about SingleStore, HTAPMatei Zaharia [00:27:52]: YeahReynold Xin [00:27:52]: and all that history.Matei Zaharia [00:27:52]: Yeah. The LTAP idea is pretty simple. so if people have heard of the, Ankur's, talk about HTAP, it's effectively the world of databases. Sorry, there's like maybe a lot of context needs to be injected here. The world of databasesSwyx [00:28:06]: I am happy to be the database podcast that I'm forcing people to, like, learn your databases, guys.Swyx [00:28:11]: You cannot vibe code with just markdown files.Reynold Xin [00:28:13]: Yeah.Swyx [00:28:13]: Like,Reynold Xin [00:28:14]: It's one of the most important fundamental systems technologies out there. But the world of database effectively split into roughly two halves. There's what we call OLTP databases, which are transactional, and think of your Postgres, your MySQL, your Oracle databases, and the other side is what we call analytics, and sometime might refer to term OLAP. And the difference is on OLTP, you typically have maybe run some transaction on some event that looks up at one specific row. We update that row, right? It's a very oriented data structure. And on analytics, you're trying to reason on the data. You're trying to compute, “Hey, what's my revenue per store? What's my. How's my website doing every day?” And then you, eventually want to probably end up running anal- machine learning on it to predict, “Hey, how will my maybe sales be going in the future?” they are so very different architecture, and everybody start with OLTP databases. Every app, when you become serious enough, that needs more than markdown files, you need to have a database. You want to lose your data, you want to have some transactional consistency. But once you want to reason on the data, if you only have like- A hundred rows, it's probably okay to run it on your Postgres or your own, your MySQL database. But once you have more data and want to run more complicated analysis, the very analysis might crush your Postgres database. So you start doing, getting data out of the OLTP databaseSwyx [00:29:35]: Replication.Reynold Xin [00:29:36]: Replicate them into the analytic systems and just startSwyx [00:29:39]: Yeah, which for people, Elasticsearch is, like, aReynold Xin [00:29:42]: Yeah. So some of them get into Elasticsearch for, like, blocked analysis. A lot of our customers obviously get into Databricks to run more sophisticated things.Swyx [00:29:51]: Yeah.Reynold Xin [00:29:51]: And there's this term called CDC, whichMatei Zaharia [00:29:54]: Change data captureReynold Xin [00:29:55]: change data capture. and what it does, it reads the binlog of the database, and if you don't understand what binlog is, it's fine. The, but it's a little delta of the data, and it reconstructs based on the delta, the state of the database, on the analytics side. But CDC is, like, a very painful thing. It's how standard in the industry, everybody uses it, but, it ends up being. I think many data engineers ends up being waken up at, like, 3:00 a.m, because there's some pipeline thing.Swyx [00:30:22]: my explanation is, like, Airbyte is like a, became a $5 billion company just doing CDC.Reynold Xin [00:30:27]: Yeah, exactly.Reynold Xin [00:30:28]: CDC is, like, a veryMatei Zaharia [00:30:30]: It's hard.Reynold Xin [00:30:30]: It's one of the most boring but one of the most fundamental operations, like, powering modern society.Matei Zaharia [00:30:37]: huh.Reynold Xin [00:30:37]: But it's so brittle that, we joke that it's, should be called continuous data corruption, because you might change your schema on your OLTP database, and then the CDC pipeline fails to handleSwyx [00:30:48]: YeahReynold Xin [00:30:48]: the schema change.Swyx [00:30:49]: Yeah.Reynold Xin [00:30:49]: And then everything goes out.Swyx [00:30:51]: And there's all sorts of tricks that you can do, like, you add in, like, some versioning or whatever, but yeah.Reynold Xin [00:30:55]: Yeah, but it's a very, in general, very complicated. Like, I think at my keynote, I asked the audience put up their hand if they love their CDC pipeline. Only, like, maybe two people put it up. So if single store, like, about maybe a decade ago, I think the industry had this idea, hey, what if I built a single database that can handle both workloads? Now I don't.Swyx [00:31:12]: Which, like, by the way, every database person ever has ever always dreamed about this.Reynold Xin [00:31:15]: Yes. Yes.Reynold Xin [00:31:16]: This is the holy grail of database engineering is why not build a single system that can do both of this? But it ends up just being a lot of compromises. one, I think one of the first issue is that, hey, each. they say Postgres has a massive ecosystem, right? You want to be using the tools that's built for Postgres. And Spark, for example, had a massive ecosystem. There's a lot of libraries you want to use. If you were to create now a new thing, you don't have a ecosystem. You tend to create a new, smaller proprietary API, and you're lacking both, and it's also very difficult to make it performance-wise to be, comparable on either side. So it ends up being sucking on both. And our whole idea of LTAP, it's obviously a wordplay on the term HTAP, is that we think this is HTAP done right. HTAP wants to build a single engine for both. We think you can get 99% of what you need by unifying the storage, and just have a single storage layer. And once you have the single storage layer, if your Postgres databases are writing data in a column-oriented format, everything analytics can just go read that data directly without any delay, right? There's no pipeline in between, so all the data will immediately be available for reasoning analytics. I think I was telling some customers earlier, hey, when we talked about this is gonna be super useful for agents, I at first didn't really believe in it myself, even though we wrote that positioning.Lakebase, Agents, and Live Operational DataMatei Zaharia [00:32:39]: Yeah.Reynold Xin [00:32:40]: But then last night I was having dinner with a Australian customer, and they told me, “Oh, hey, one of the big issue we have is we have all these logs from our services, and we see SLA dips and want to investigate. But then there's no way for those agents to even understand what's going on in the actual databases themselves. All we see is just, like, product telemetry of the database and the services.” It would make those agents 10 times more powerful if understand, for example, who's placing those orders, what is happening, what exactly are they doing. So now I'm sold on our own message.Swyx [00:33:13]: Yeah.Reynold Xin [00:33:14]: I think it's really. It gets you the almost all of the benefits of the HTAP holy grail, which is, hey, make the data available immediately for reasoning analyticsSwyx [00:33:26]: Yeah, I think,Reynold Xin [00:33:27]: without compromiseSwyx [00:33:28]: in the way that humans are generally intelligent and want to have the ability and access to query anythingReynold Xin [00:33:34]: YeahSwyx [00:33:35]: while they do the work, they also need history and need context.Swyx [00:33:38]: And, like, where else does they get context? That's it's an analytical workload.Reynold Xin [00:33:41]: Exactly.Matei Zaharia [00:33:42]: Yeah. Yeah. And I remember when we had incidents with our databases and engineers said, “Well, I can't just run a giant query on it to see what's going on because that's gonna bring down the database and hoard it even more.” Like, that's the stuff that this gets rid of, because you spin up a whole separate fleet of machines that's doing the analytics. You're not overloading, like, the main databaseReynold Xin [00:34:02]: RightMatei Zaharia [00:34:02]: that's still trying to serve stuff.Reynold Xin [00:34:04]: Yeah.Matei Zaharia [00:34:04]: Yeah.Why LTAP Works Now: Parquet, Postgres, and LakebaseSwyx [00:34:05]: So this has been a dream for a while. what had to get done in order to get to today? Like,Reynold Xin [00:34:11]: Yeah.Swyx [00:34:11]: I feel like, you have announced variants of this several times, but it wasn't as clear as LTAP.Reynold Xin [00:34:18]: Yeah.Swyx [00:34:18]: I think LTAP is like Like, okay, we've got it, guys.Matei Zaharia [00:34:21]: This thing, yeah.Reynold Xin [00:34:21]: I was talking to somebody at Meta, and then he was asking me, “Hey, what's the catch? Why is it possible now?” And I think the reality is we took a lot of time to work on the Lakebase architecture. obviously a lot of it came from the Neon team, which is a separation of storage from compute. And it turned out it was just a tiny little step away going from that to this LTAP idea, which is, hey, we just. in the Neon architecture and in Lakebase architecture, we're writing data in oriented format to the open data lake, but in there we're writing in Postgres pages. Ali and I were spending a lot of time debating, hey, can we just change that to write in column-oriented format? And we're just debating, and one day, one of our engineers who's, like, super smart came in, he's like, “Hey, I just prototyped it. It works.”Swyx [00:35:07]: Wait, it's, prototype what?Reynold Xin [00:35:09]: Prototype, instead of storing the data in the data lake in the oriented formatSwyx [00:35:15]: ColumnReynold Xin [00:35:15]: like Postgres pagesSwyx [00:35:15]: YeahReynold Xin [00:35:16]: write them in Parquet.Swyx [00:35:17]: Yeah.Reynold Xin [00:35:18]: and he just made the observation that, hey, our storage fleet has a lot of extra idle CPUs And we could use those CPUs to do the transcoding from row to column, where row is good for OLTP, but column is good for analytics. so let's do that transcoding at that time. And as a matter of fact, once you transcode the data compresses better. So from those services writing to, for example, S3 or other data lake, like object stores, you can write them faster ‘cause now they are now smaller.Matei Zaharia [00:35:49]: Yeah.Reynold Xin [00:35:49]: So there's no overhead, it's no compromise in performanceMatei Zaharia [00:35:52]: Some CPU overhead.Swyx [00:35:54]: Yeah, because,Matei Zaharia [00:35:55]: YeahSwyx [00:35:55]: we had extra CPUs anyway.Matei Zaharia [00:35:56]: We had that fleet anyway, yeah.Swyx [00:35:57]: so the debate ended. it's one of the classics of, tech, issue of a lot of debate, but then somebody went ahead and just tried to prototype it and it worked.Matei Zaharia [00:36:06]: But, like, something this strategicSwyx [00:36:07]: That's rightMatei Zaharia [00:36:07]: and important to the company, I expect there to be, like, a kickoff thing, like a design doc. Nothing like that.Swyx [00:36:13]: Nothing like that.Swyx [00:36:14]: He just. We were debating in many meetingsMatei Zaharia [00:36:17]: Yeah.Swyx [00:36:17]: and then we're just debating whether it's possible or not from first principle.Matei Zaharia [00:36:20]: YeahSwyx [00:36:20]: and then, somebody just did it.Matei Zaharia [00:36:23]: Yeah, if you set yourself up so people do that'll be great. And that happened a bit with Omnigentt too. I think if I just had a doc on, like, we can make these together, everyone would, would think, “Oh, what about this? What about this?” But then you. if you try it out, it helps. And then if you have real users and they bash it and, like, it's still working, or in this case, if you have the workload, what the workload looks like, you can just test the same pattern then.Databricks' Culture of Fast PrototypingSwyx [00:36:47]: Yeah.Matei Zaharia [00:36:47]: Yeah.Swyx [00:36:47]: Tech aside, which is very cool, this is, like, the most important thing, the culture of innovation, and you don't have to ask my permission, you don't have like, do a whole form- formal process, just do it?Matei Zaharia [00:36:59]: Well, especially these days, I think withSwyx [00:37:01]: YeahMatei Zaharia [00:37:01]: AI, it's easier to buildSwyx [00:37:02]: But so, likeMatei Zaharia [00:37:03]: a prototypeSwyx [00:37:03]: I think you are very I made a lot of suite of, like, large companies and, like, I think that at scale, things slow down, and I'm sure you felt it already, but somehow you have this core of people that, like, are exempt. How? I think we hire and we work with really good people, and that's a very important part of it, and empowering them, but also spending a lot of time, maybe us in the trenches matter a lot also.Matei Zaharia [00:37:28]: Yeah, I think, I think first, people can adapt to being in the larger company, so that helps. And we wanna make sure they know that they can try stuff and settle debates and have a lot of examples of how it was done before, or launch a thing in beta or whatever. and then the other thing I do think as a company, like despite the size, we don't launch that many, like, products. We try to keep it pretty coherent. That's, that was the whole, like, theory of the company, was like instead of having, like, 20 Amazon services you need to set up, like a analytics and machine learning stack, you just have one, and it's, like, the same API, the same semantics across all of them, the same copy of the data. So that requires, like, unification. And then we added one more thing at a time. Like, we added storage with Delta Lake. We didn't used to do any storage. Then we added SQL, we added, machine learning platform stuff. So, but yeah, don't, don't do too many, but do those things well and, that also helps, it helps keep it manageable.Reynold Xin [00:38:33]: Yeah. The other thing we encourage a lot is instead of building, boil the ocean for everything, let's figure out how do we do it incrementally, how do we do it very quickly. Like, many of our productsMatei Zaharia [00:38:43]: YeahReynold Xin [00:38:43]: they're built in the span of weeks, and then we go to, hey. Like, usually my first question to whoever team is building is who's the target customer? Who are you working with? Are you on a first-name basis with them? Are you texting with them? I think having that very tight loop,Matei Zaharia [00:38:59]: Can you bring up another launch that comes to mind when, in this thing? I just want to give examples.Reynold Xin [00:39:04]: Omnigentt itself happened that way.Reynold Xin [00:39:05]: Yeah.Matei Zaharia [00:39:06]: Who's the customer? That's a good oneReynold Xin [00:39:34]: storage layer we did. we had, our largest customer at the time said like, “Okay, I need some. I want something in the cloud ‘cause, I. if the rest of our network is compromised, like this thing needs to be separate to store and query the events.” And then, talked to us, he said, “Okay, this is the rate of events per second. This is, like, the freshness I want. Can you do it?” So that was, like, way larger than any workload we had, and we had our, engineer, working on that, Michael Armbrust, and he worked just to make this work. And once it worked for them, it worked for everyone else. Yeah. This was early in the company, probably like four years in or something.Matei Zaharia [00:40:24]: 20- 2018?Swyx [00:40:26]: Yeah, ‘17, ‘18.Matei Zaharia [00:40:28]: Few companiesSwyx [00:40:28]: Do you have other examples?Matei Zaharia [00:40:30]: there'Swyx [00:40:31]: Maybe you have othersMatei Zaharia [00:40:31]: yeah, Clean Room, which is how you share data in a way without sharingSwyx [00:40:35]: YeahMatei Zaharia [00:40:35]: underlying data, but you allow specific operations. Those were done effectively initially just for two customers. I think the industry has a sense of, hey, maybe if you overfit to, like, one or two customers, it's gonna be really bad for you. But I think the, downside of overfitting is much smaller than the upside itself. And if you try to be too ambitious and boil the ocean, it's a much bigger problem.Swyx [00:40:58]: Yeah. Yeah.Matei Zaharia [00:40:58]: ‘Cause you might end up having no customer.Swyx [00:41:00]: Yeah, that's more, that's the more likely outcome.Matei Zaharia [00:41:02]: Yeah.Tech Companies vs. EnterprisesSwyx [00:41:03]: than you can pivot from there. I do think there is such a thing as a bad customer that sometimes you should fire. Yeah.Matei Zaharia [00:41:08]: They could exist sometimes if you drive. well, one of the challenge I think we probably see, and maybe many AI, so newer generation companies are seeing is, so tech companies are very different from tech companies or traditional enterprises.Swyx [00:41:22]: Yeah.Matei Zaharia [00:41:22]: And, if you optimize everything just for tech companies, you might have various challengesSwyx [00:41:27]: OhMatei Zaharia [00:41:27]: scaling them outside of tech companies.Swyx [00:41:28]: Okay, what likeMatei Zaharia [00:41:30]: YeahSwyx [00:41:30]: what like top three differences that you always think about?Reynold Xin [00:41:33]: Governance is a big oneMatei Zaharia [00:41:34]: I think, yeah, a big one is like, yeah, security, data privacy, governance, all that stuff. So usually if you're building some kinda like B2B or developer tool, like your biggest market is gonna be enterprises, but it's just very different. A company that's existed for like, it's had some form of IT for like 30 years, they have so many legacy systems or they operate in a regulated space. whereas a startup or, even like a, like sorta more recent tech company, all the. everything is new and pristine. So yeah, it's just different, and if you've never worked with enterprises or been in one, you just won't know about it.Reynold Xin [00:42:13]: Yeah.Matei Zaharia [00:42:13]: Yeah.Reynold Xin [00:42:13]: And the procurement process is probably quite different. There's far more stakeholders.Matei Zaharia [00:42:17]: Yeah, that is one. Yeah.Matei Zaharia [00:42:18]: Another piece that's interesting is I think some tech companies, people, will say, “Oh, I can build that myself,” right? I'll just build that myself.Matei Zaharia [00:42:27]: So then you go,Reynold Xin [00:42:28]: I don't think people say that about Databricks, butMatei Zaharia [00:42:31]: yeah, it dependsReynold Xin [00:42:32]: They do.Matei Zaharia [00:42:32]: They do?Matei Zaharia [00:42:32]: Yeah, the. Yeah, and it depends on the teams and things. So, but, on the other hand, like many of the enterprises say, “I don't, I never wanna be in the business of building that.” Like, I don't want my, whatever, I'm a retailer or something, I never wannaReynold Xin [00:42:45]: Yeah, sell clothes,Matei Zaharia [00:42:46]: be down because like some weird like nerd like couldn't get streaming pipelines working.Matei Zaharia [00:42:51]: That is not what I'm doing.Reynold Xin [00:42:53]: Yeah.Reynold Xin [00:42:53]: Yeah. This makes them great customers, to be honest, right?Matei Zaharia [00:42:55]: Yeah. But you have to understand that it's hard without having worked there and stuff, like you may not appreciate.Reynold Xin [00:43:01]: Look, I think they're all great. don't get me wrong, they have different challenges. But the, many of the tech companies, for sure there's a lot, far more DIY.Matei Zaharia [00:43:10]: On the flip side, you have people who are. they're very much experts in their domain, like they're building airplanes, they're, designing medicines, whatever, and they just want to bridge the technology, where like they don't wanna learn, databases or whatever. As cool as we think it is, even as interesting as the average software engineer might think it is to read a little bit, like they just never wanna know. They just say, “I have a, giant like, matrix or whatever with my, clinical data, like how do I, how do I like cluster it or whatever?” So yeah.The Dream Engine and Rewriting the Database StackReynold Xin [00:43:40]: Yeah. That's true. Okay, so and then I wanted to build out the dream engine, vision. where does this all lead? So one of the thing we, realized maybe a couple years back is that every single database engine out there, especially on the analytics side, are a decade old. pretty much everything that have reasonable traction are about a decade old. And they all started targeting some very specific narrow use cases, and then over time it's become more and more successful. They have grown in their ambition, and then they try to support more and more use cases. But the fastest way to support those use cases tend to be hacked around the abstractions that were initially created, that were not for those use cases.Matei Zaharia [00:44:23]: Yeah.Reynold Xin [00:44:23]: And then, but you can support them more or less okay. And before it, after 10 years of organic evolution that way, it becomes a gigantic pile of s**t.Reynold Xin [00:44:31]: the. And, but that includes Databricks. And very few company or very few systems, I think, have the gut to say, let's go start from scratch. Let's go back to the drawing board and design, knowing everything we know today after a decade of workloads and probably billions in revenue, let's attempt to rewrite it from scratch and make sure it will work and it can support all of these use cases. So we started doing that, but it's a very ambitious project. by the way, you can search on Wikipedia, there's this thing called second system syndrome.Matei Zaharia [00:45:08]: Yeah, I know that. Yes.Reynold Xin [00:45:09]: Or second system effect.Matei Zaharia [00:45:11]: Every developer must know what a second syndrome is.Reynold Xin [00:45:12]: It's you built your first thing and it works out great, and the second one's bound to fail because you become too ambitious.Reynold Xin [00:45:19]: And then you ask so many requirements.Matei Zaharia [00:45:20]: Or like you think everythingReynold Xin [00:45:21]: YeahMatei Zaharia [00:45:21]: and then you're likeReynold Xin [00:45:22]: You justMatei Zaharia [00:45:22]: you're, “I'm gonna design the perfect system this time.”Reynold Xin [00:45:24]: Yeah. And it turned out it's not perfect, and then it start failing and you're too ambitious, never launch, and you get killed. The, and the engineering team that started this, they were brilliant. I think we hired some of the best database engineers, on the planet into Databricks, and they were brilliant. Thank God it's not their second system. Many of them have built more than two in the past.Matei Zaharia [00:45:44]: Ah, nice.Reynold Xin [00:45:45]: But they were still worried about this, hey, building a database engine from scratch, I think the conventional wisdom is gonna take like five years to mature. This would be a very long-term project. It could fail. I think one of the engineers jokingly said, “Hey, maybe we just call it Reynolds Stream Engine.” If we name after a founder, maybe we then may get canceled or killed. But I think they built something pretty remarkable. they went back to. They changed the way the database engines were built from a paradigm point of view. Usually when y

《解鎖地球：旅行、歷史、文化 Podcast》一個以深度旅遊為核心的 Podcast 節目。我們邀請在世界各地生活、探索的旅人，從他們旅途中的視角，分享第一手的觀察與體驗，帶回最真實的歷史與文化故事！ https://fstry.pse.is/99a8e2 —— 以上為 Firstory Podcast 廣告 —— 加入會員，支持節目： https://richlife.firstory.io/join留言告訴我你對這一集的想法： https://open.firstory.me/user/clh1qknlp0h0s01w286nq3i04/comments歡迎您用一杯咖啡支持我持續創作 : https://pay.soundon.fm/podcasts/a11a2120-4bc4-4fb2-813b-135bd96e5868「布姐的交誼廳。陪你聊人生聊職場」Line 社群https://reurl.cc/36NWEL(密碼：love)本集重點：魅力是可以學習與開發的，不是天生的特質。八大魅力：權威、社交、遠見、激勵、藝術、連結、使命、寬宏，每個人都有，只是比例不同。課程會提供測驗，找出自己優勢魅力與待開發潛力。魅力太強也可能造成困擾，例如權威型過強會導致家庭不溫暖。魅力的展現工具來自於眼耳鼻舌身意，即語調、穿著、香氣、氣場、表達等。權威感可由語調往下、穩定眼神、穿著中性色來傳遞。鼻不只是嗅覺，還包括創造安靜與氛圍的能力。領導是動詞，每個人都在生活中發揮影響力，不只是職場中的主管。理解他人魅力有助於有效說服與溝通。魅力課與EQ寶典課程互為補充，魅力課更強調自我風範與能量場。來賓. 陳麗卿CEO魅力領導教練，「Perfect Image 陳麗卿形象管理學院」創辦人，眾多企業CEO倚重的形象管理顧問，協助上萬名人士形塑個人魅力，媒體讚譽為「企業家的造型師」。美國亞歷桑納大學織品服裝碩士，曾任美國服裝設計師，自創Zoe Rao品牌。著有《穿對，更成功》《女人，妳的名字叫美麗》《男人，展現你的成功有型》《衣櫥減法》《衣櫥加法》《成功禮儀：你的品牌符號學》等形象管理著作二十餘冊。‧商周.COM【好形象卿鬆學】名家專欄主筆‧外交部服裝禮儀特約講師‧擔任百大企業形象管理訓練師暨顧問：臺灣高鐵、LEXUS、花旗銀行、國泰世華銀行、資誠會計、台積電、宏達電子、中國美的集團等‧媒體形象單元固定來賓：中國廣播公司、教育廣播電台、中央人民廣播電台等‧報章雜誌形象專欄主筆：聯合報、Marie Claire、GQ等

Hej Somna. Jag var ute och gick precis och då såg jag korpar. Två korpar som flög över mig. Jag gick förbi en järnåldersplats och tänkte på att korpar har funnits sedan dess. Har ni tänkt på hur mycket smartare korpar är än duvor? Kanske duvor har högre EQ, men det tror jag inte heller. Här om dagen satt jag utanför en butik och väntade på Harriet. Då kom det en duva. Vi tittade på varandra och det var som att duvan också kände att det var en själlös plats. Det var som att duvan sträckte ut en hand mot mig, en klo. Jag sträckte ut min hand mot duvans lilla klo och sveptes med. Innan jag visste ordet av så flög jag över Stockholm.Det är lätt att tänka att duvor är lite äckliga. De bajsar överallt och ser inte smarta ut. Men duvan och jag hade telepatisk kontakt under turen. Jag förklarade för duvan varför himlen är blå. Det är för att den är det. Gruskornen ligger där de ligger, för att de gör det. Jag tror inte att det var det duvan ville prata om när hon bjöd in till den här flygutflykten.Duvan blev ännu större, ett duvlandskap. Den landade på en stor blank sjö. Månen hängde som en oäten ost på himlen. Jag låg där på rygg och tittade upp. Duvan frågade: "Varför ligger du här Henrik?" Jag förstod inte riktigt frågan, det var duvan som bjöd med mig. Vi var tysta en stund. På vilket sätt beskriver språket verkligheten? Inte alls. Eller gör det det? Vi styr ju inte våra tankar. Vi tänker det vi tänker. Är inte hela livet såhär egentligen? Att ligga på rygg på en duva, på en stor blank sjö, titta upp på månen och lägga tanke på tanke. Godnatt, Somna.Mer från Somna med Henrik: https://somnamedhenrik.se/Mer om Henrik: https://www.henrikstahl.se/Lyssna utan reklam, få extraavsnitt, spellistor med mera på: https://somnamedhenrik.supercast.com/ Hosted on Acast. See acast.com/privacy for more information.

The episode explores whether the PR jobs market is in crisis, how AI and economics are reshaping recruitment, and what candidates and employers should do next.Ben Smith frames the discussion by noting a “complex scene” where firms are still recruiting but “lots of really good people” are looking for work, with visible redundancies, especially in holding companies.Is the PR jobs market in crisis?Recruiter Olivia Skone rejects the word “crisis” but calls the environment “challenging” across the creative industries. There are still “great roles for exceptional talent,” yet several pressures combine into what she calls a “perfect storm”: economic uncertainty, squeezed margins, clients “wanting more for less,” cautious hiring, and application volumes “drastically increasing” due to technology and AI [0:01:40–0:03:00].She stresses candidates struggle less with rejection than with opaque processes:“It's actually not rejection that candidates are finding tough, I think it's the visibility as to why they're not getting through” [0:02:33].Volume of candidates and structural changeAgency founder Kat Thomas reports an unprecedented wave of jobseekers:“Since… end of February, early March, I've had well over 300 people contact me on LinkedIn, looking for work, and that's extraordinary” [0:03:11–0:03:27].She's seeing especially mid‑to‑senior people (around 10–15 years' experience) across comms and creative:“I've just never seen it like it… I think it's structural… the legacy of the industry shape shifting and redundancies at scale” [0:03:32–0:05:02].AI: “demon of mediocrity” and employer's marketOlivia argues the core driver is still the economy, but AI is being used as “a really good excuse… to clean house a little bit” [0:06:16–0:07:32]. She predicts AI will be “the demon of mediocrity” – replacing lower‑level, process‑driven work, not top‑tier client leadership and original thinking.Kat describes today as “an employer's market” with “overwhelming” choice [0:07:35–0:09:35]. Building an AI‑centric agency, she looks for people who are “AI literate or at the very least AI curious,” noting juniors are almost “AI natives,” while senior understanding is more mixed. AI, used well, creates “bandwidth” so teams can spend more time with clients and media [0:07:35–0:09:30].Broken recruitment channels and AI “CV slop”LinkedIn is now a firehose: roles can attract “over 500 applicants” in days [0:11:33–0:12:28]. That's driving AI‑based screening and, as Olivia notes, a “homogenization of CVs” where“everyone looks brilliant on paper” [0:12:59–0:13:23].She warns of “robots writing the CVs, robots reviewing the CVs… robots interviewing humans” and insists “you cannot replace the human in the loop” [0:13:35–0:14:47].Advice and outlookOlivia tells redundant candidates:“Don't be ashamed of this… it doesn't define you or your worth” [0:23:53–0:26:46].She urges them to craft a clear narrative, visibly use downtime (speaking, writing, consulting), and avoid AI‑generated LinkedIn posts and CVs that erase individuality. Specificity, sector expertise, and a strong human voice matter more as tools make everything else look similar.Looking ahead, Olivia expects risk‑averse clients to favour sector specialists and leaders who combine transformation capability with high EQ and psychological safety [0:32:48–0:34:49]. Kat is broadly optimistic: AI can “supercharge your knowledge” while leaving creativity and originality firmly human [0:29:40–0:31:54].

What happens when walking into a room means absorbing every ounce of tension, distress, and unsaid emotion inside it?Many of us are taught that great leadership requires carrying the emotional weight of our teams. We step in to smooth things over, fix conflicts that aren't ours to solve, and mistake constant rescue missions for true connection. The result isn't better leadership, it is exhaustion.In this episode, Amy sits down with global emotional intelligence and empathy expert Dr. Melissa Robinson-Winemiller to map out a clear blueprint for protecting your energy without shutting out your humanity. Drawing from her raw pivot point out of a toxic workplace environment and later experiencing those same broken patterns in other work spaces, Dr. Melissa shares the definitive distinction between reading a room and taking responsibility for it.This conversation is a radical reframe on human connection. You will discover how to stand in your own power, deploy data-backed perspective-taking, and implement the boundaries necessary to stop treating everyone else's distress as your circus to fix.Moments That Create Momentum:The "Not My Circus" Rule: Why walking into a room and feeling everyone else's tension isn't a gift, it's a boundary failure that is secretly draining you.The Revenue Shield: The deeply unsettling reason why elite organizations intentionally protect toxic high-performers and narcissists.The Empathy Illusion: Dr. Melissa shares why empathy is passive, and how jumping straight into "fixing" things actually triggers misplaced, destructive compassion.The Danger of Being "Nice": Why standard corporate manners are often just a mask for insincerity, and the reason true kindness requires telling the ugly truth.The Self-Rescue Mandate: Why launching into service for others before mastering self-empathy is a fast track to destroying your own career.About the Guest:As professional musician, Dr. Melissa Robinson-Winemiller worked with major talent such as Ray Charles, David Ogden Stiers, and Mannheim Steamroller. But cold and toxic leadership eventually robbed her of a career that was 30+ years in the making. However, that incident inspired Dr. Melissa to transform leadership as we know it by redefining the one element that most leaders miss: empathy. Today, she's an international bestselling author, Editor's Pick TEDx speaker, EQ and empathy coach, and leading voice on emotional intelligence and empathy. She's known for blending lived experience, academic depth, and a sharp, data-driven approach that not only makes sense but demystifies how empathy translates to better productivity, innovation, and profit. Her mission is to invite everyone to approach empathy as a strategic skill for every human-centric action, not only for others but also for ourselves, and to step up in the way the future of leadership demands.https://eqviaempathy.comhttps://www.linkedin.com/in/dr-melissa-a-robinson-winemiller-author-speaker-trainerhttps://www.instagram.com/empathyqueen.eqhttps://www.youtube.com/@TheEmpathicLeaderhttps://www.youtube.com/watch?v=IaoXSEWeILo&t=63shttps://geni.us/TheEmpathicLeaderAbout Amy:Amy Lynn Durham, known by her clients as the Corporate Mystic, is the founder of the Executive Coaching Firm, Create Magic At Work®, where they help leaders build workplaces rooted in creativity, collaboration, and fulfillment. A former corporate executive turned Executive Coach, Amy blends practical leadership strategies with spiritual intelligence to unlock human potential at work.She's a certified Executive Coach through UC Berkeley & the International Coaching Federation (ICF) In addition, Amy holds coaching certifications in Spiritual Intelligence (SQ21), the Edgewalker Profile, and the Archetypes of Change . In addition to being the host of the Create Magic At Work® podcast, Amy is the author of Create Magic At Work®, Creating Career Magic: A Daily Prompt Journal and the founder of Magic Thread Media™. Through her work, she inspires intentional leadership for thriving workplaces and lives where “magic” becomes reality.Connect with Amy:https://createmagicatwork.net/https://www.linkedin.com/company/create-magic-at-workhttps://www.facebook.com/112951637095427https://www.instagram.com/createmagicatworkhttps://www.youtube.com/channel/UCnEm4h3fUgaq8qgvZpz6dGgThanks for listening!Thanks so much for listening to our podcast! If you enjoyed this episode and think that others could benefit from listening, please share it using the social media buttons on this page.Do you have some feedback or questions about this episode? Leave a comment in the section below!Subscribe to the podcastIf you would like to get automatic updates of new podcast episodes, you can follow the podcast on Apple Podcasts or your favorite podcast app.Leave us an Apple Podcasts reviewRatings and reviews from our listeners are extremely valuable to us and greatly appreciated. They help our podcast rank higher on Apple Podcasts, which exposes our show to more awesome listeners like you. If you are enjoying the show, please leave us a review on Apple Podcasts.Mentioned in this episode:This show was brought to you in part by the Magic Thread Media Network. To learn more visit: https://magicthreadmedia.com/

Emotional intelligence isn't about feeling more — it's about reading what your emotions are already telling you and choosing what to do with that information. What You'll Learn in This Episode Why the popular definition of EQ — stay calm, be empathetic, don't get triggered — describes outcomes but misses the actual skill underneath Why emotions are information, not instructions, and what that reframe makes possible What the gap between stimulus and response is, and why expanding it is the core of emotional intelligence The crucial difference between emotional regulation and suppression — and why confusing the two leads people to either perform calmness or numb out How high EQ shows up concretely in relationships, leadership, decision-making, and self-trust Five practical starting points for building emotional intelligence that don't require overhauling your personality The four most common EQ mistakes, including performing EQ while still being reactive underneath Episode Timestamps [00:00] Introduction and hook [01:00] Why emotional intelligence is so often misunderstood [03:00] Emotions as information, not instructions [05:00] The gap between stimulus and response [07:00] Regulation vs. suppression — and why they're not the same thing [09:00] What high EQ actually looks like in relationships, work, and decisions [11:00] How to build emotional intelligence practically [13:00] Common EQ mistakes and how to avoid them [14:30] Key takeaways and close Keep Exploring If this episode resonated, these are worth your time: Mind & Inner Life Pillar — The full framework for developing the inner awareness that makes every other part of a well-lived life possible → optyoumize.com/mind-and-inner-life Enjoyed This Episode? The best way to support optYOUmize is to subscribe and leave a review — it takes about two minutes and makes a real difference in helping more people find the show. Apple Podcasts · Spotify · Amazon Music · YouTube Leave a Review →

The 7 Principles of Successful Partnering in the Age of AI Subscribe to our Newsletter:https://theultimatepartner.com/ebook-subscribe/Check Out UPX:https://theultimatepartner.com/experience/ In this engaging session, Vince Menzione reflects on his extensive career transitioning from direct enterprise sales to building massive channel ecosystems, while unveiling the seven core operating principles essential for modern partnering. Highlighting tectonic industry shifts—from the PC and Cloud eras to the current AI revolution—Vince explains how traditional playbooks are becoming obsolete and why adopting a growth mindset, modeled by leaders like Satya Nadella, is critical for survival. He delves into the rising importance of hyperscaler marketplaces and co-selling, urging leaders to cultivate adaptability (AQ), emotional intelligence (EQ), and mutual trust to thrive in this rapidly changing tech landscape. https://youtu.be/5n8dqiamnmE Key Takeaways Traditional industry playbooks are outdated almost immediately due to the rapid acceleration of AI and market changes. Implementing a “growth mindset” is a foundational operating principle that can transform corporate culture and drive massive valuation increases. Executive commitment and clarity of vision are mandatory for aligning an entire organization around successful partnering. Building a strong brand story and maintaining a maniacal focus on OKRs turns strategic vision into executed results. The technology landscape has experienced massive tectonic shifts from the PC era to the Cloud, Mobile, and now AI, requiring high adaptability (AQ). Mutual trust remains the non-negotiable foundation for any successful professional relationship or partnership. If you're ready to lead through change, elevate your business, and achieve extraordinary outcomes through the power of partnership—this is your community. At Ultimate Partner® we want leaders like you to join us in the Ultimate Partner Experience – where transformation begins. Key Tags Vince Menzione, growth mindset, Satya Nadella, channel building, tech ecosystem, tectonic shifts, AI revolution, co-selling strategies, hyperscaler marketplaces, organizational alignment, executive commitment, OKRs execution, AQ strategy, mutual trust, B2B technology Transcript [00:00:00] Vince Menzione: Because I think we’re all paralyzed by AI and all the changes that are going on in our world, and playbooks are no longer good because they’re outdated the week after they come out. [00:00:12] Vince Menzione: We just came back from Ultimate Partner live in Bellevue, Washington, where we hosted incredible leaders for two amazing days. Come join us for this next session where we explore the tectonic shifts we’ve all been seeing. What a list. Oh my gosh. I gotta tell you, I was just going back this morning and, and looking to see first of all the number, the sheer number is incredible. [00:00:36] Vince Menzione: But look at, look at all these top executives. These are, these are like market movers. The game changers. These are people that are doing more in our world, in our ecosystem than most others. And we are very fortunate to have the representation from these organizations. From these leaders in the room, and we try to curate an event that is more than a, a sales pitch. [00:01:00] Vince Menzione: We’re, in fact, we, we’re not a sales pitch. We’re all about, you know, helping you achieve more. And we try to frame that around operating principles. So, uh, a little bit of a roadmap lately. I mean, this started out like how did we get here in like, maybe five spots along the way. But, uh, for those of you who don’t know me and my background, and I’ve had an incredible career, I’ve been very blessed. [00:01:20] Vince Menzione: I did a startup that we grew from 6 million to 125 million. Went public on the Toronto Exchange. I’m still friends with the CEO, by the way. Helped, helped him grow and exit that company. Uh, I then followed one of the leaders there to go do a turnaround with Golden Gate Capital, and we took that and that’s where I built my first channel. [00:01:37] Vince Menzione: I went from doing enterprise sales as a direct seller, direct sales leader, VP to then going to building a channel. During nine 11, uh, this company was selling rugged notebook computers. Our biggest competitor was not a US company, and I spent a lot of time on Capitol Hill. I met with several congressmen and senators at a time when people did that, and they talked to each other. [00:01:58] Vince Menzione: And, uh, I built a channel. I got its a GSA schedule, and I understood. So I understood intuitively, even from that point in my career, how to move, how to shift from direct selling to building a channel, building a business around that. We became the growth engine of the company. One of my partners was one of the largest defense contractors, general Dynamics. [00:02:19] Vince Menzione: They had the big contract if you were selling to the US Army. And I knocked down the door basically and said, you got a partner with us. And that’s how we got the relationship established. And they wound up buying us for like 10 x what Golden Gate Capital had had spun us out for. And then Microsoft recruited me. [00:02:36] Vince Menzione: And for almost 10 years I was the GM of public sector partner strategy. And so I was, I was there and we’ll talk about Satya and other things, but I was there when we started the cloud. I was there when we pivoted the business from the old model and working with OEMs and trying to, to do things a different way to the cloud and co-selling and things like that. [00:02:56] Vince Menzione: And, uh, had a great experience. And then when I left I was like, oh, I’m just gonna go work for another big tech company. I started a podcast. I had a friend who said, you should do a podcast on partnering. You know a lot about this more than you probably think you do. And almost 10 years ago, I started a podcast in a spare bedroom. [00:03:13] Vince Menzione: And you know, it, it was, it built a following and there’s a lot of work, by the way, people, a lot of people do podcasts today. It was a lot of work for those of you. I congratulate anybody doing that. Uh, I went back inside for two years because I felt like I needed to go back into a big corporate environment. [00:03:29] Vince Menzione: And then I left during COVID and I learned a lot being at a big corporation about how hard it was to partner. Like it’s still hard. I don’t know how many people in the room feel this way. I know, I know the numbers are much better and Jay will talk through the numbers, but it’s not easy and a lot of organizations don’t understand it. [00:03:47] Vince Menzione: And that’s what we talk about here and we try to help people to achieve more and how to, how to get that mindset in the right place. But anyway, so. We started, we started doing the podcast after COVID, it took off. We did an event. Uh, there’s actually four of the five people that did partner. We called it Partner Mastermind. [00:04:06] Vince Menzione: We did an event about four years ago, uh, separately. And that led to Ultimate Partner. And it’s a long, the long history in the last four years of 10 events, like it’s been an incredible blast. And I want to thank each of you for being along this, this incredible ride with us as we continue to grow and expand. [00:04:24] Vince Menzione: We’ve been doubling every year for the last four years and um, I feel very blessed to be part of this. So I did wanna spend a minute with you on this. I don’t like the drain this slide, but I do wanna identify what I believe are seven operating principles of what makes successful partnering. And you know, you might say there’s eight, you might say there are other things I think about principles as opposed to tactics. [00:04:50] Vince Menzione: Tactics are transactional. They’re temporary and a point in time, and it’s how you respond and react to a situation. Principles are things you take with you, and that’s what we hope to do at Ultimate Partner. Take those things with you and then, then apply some of the things to the tactics that we need to have. [00:05:06] Vince Menzione: And so we talk about growth mindset. Uh, you know, depending on where you stand about Microsoft, these days, when this guy came in, stock was $36 a share. Okay. It’s in the four hundreds now. It was up to over 500 not long ago. He applied a different mindset. The first three things he did, Le got a copy of Carol Dweck’s book about mindset. [00:05:28] Vince Menzione: Growth mindset versus fixed mindset. Uh, he brought in Dr. Michael Vet, who’s a leading sports psychologist, like in, in the industry, who was the Seattle Seahawks sports psychologist. Mike’s been a podcast guest of mine. I’ve been to his studio. Um, and then he, we, he, he changed, he, he brought down, he took down the walls of the way Microsoft operated because leaders fought with each other. [00:05:51] Vince Menzione: They competed with each other for resources, for monetization, for everything. And he changed the mindset. Nobody’s a perfect CEO, but if I was to say to you who I think the best CEO of the last 10 years were, I’d give it to Saja Nadella, but it’s about mindset. It’s about changing or having the right mindset and applying that growth mindset to a successful partner. [00:06:12] Vince Menzione: Executive commitment, I talked about that. Other organizational will go nameless, but if you don’t, you can have the CEO down to the selling floor. Everyone needs to speak partnering, like in order to get it right in an organization. The whole company, the resources, the investments, the alignment, all has to align around partnering. [00:06:32] Vince Menzione: Executive commitment is incredible. Tony Saan took a small MSP to a half a billion dollar exit, took them to go, uh, Google Partner of the Year, seven straight years in a row. I think they’re eight this year. Uh, but Tony’s a good friend of mine. He is also been a guest on the podcast and, uh, somebody I’ve admired and worked with. [00:06:50] Vince Menzione: This is Dr. Michael Dravet. We talk about clarity, like once you get your mindset, once you get executive commitment, you then need to determine like how, what’s the vision? How do we drive success together? You need to turn, you need to know internally how to go do that. Then you lock arms with another organization and then you apply it to that partnership. [00:07:10] Vince Menzione: So that’s incredibly critical. Then, then you gotta do everything right? Like I always kid around about my days at Microsoft, we’d have these incredible meetings with leaders. They’d come meet with us at partner conference. I would literally go back to back for several days in the room. Slide deck after slide deck. [00:07:27] Vince Menzione: We’re high fiving at the end. [00:07:29] Vince Menzione: We’re gonna go do it [00:07:31] Vince Menzione: six months later. Crickets. Nothing happens, right? This happens a lot in partnering. Unfortunately, like we, we set up the right situation. We line everybody. We’re gonna go execute, we’re gonna drive results. You have to apply maniacal, focus, OKRs, everything to everything you do. [00:07:48] Vince Menzione: You need to apply. And by the way, you’re gonna hear from a lot of leaders here that do this type of work. So this is incredibly, uh, critical to success, brand and story. Like I wanna work with Microsoft. There’s gonna be probably 40 plus Microsoft leaders in the room, some of ’em sitting here and around the room. [00:08:06] Vince Menzione: How do you do that? Right? This is Ducks Raymond S. Good friend of mine at Point. I knew at point when they were just starting out. Scott Sackett is here. He’ll be up on stage. Uh, this man was expert on brand and story. Learn from people that are successful, how to be successful yourself, if you wanna be a top partner, if you wanna grow your business, whether you’re working with Microsoft, Google, Amazon, or any of the other partners in this room. [00:08:30] Vince Menzione: You need to be very clear about your brand, articulate it well, and drive a story against that. And that’s really super critical for success. And then once we do all those things, we start driving a flywheel of success. Aaron Feiger and some of the other people in the room, Reese Barry, are gonna be talking about how they do that. [00:08:47] Vince Menzione: They will help these organizations be successful. Pick putting that stake in the ground and driving it. And then what happens is after you drive this incredible success, what does my partner do? My tech giant, the company I’ve been working with, they go change everything. The market changes, the dynamics change. [00:09:05] Vince Menzione: This thing in November of 2022 called AI Happens, Chad, GBT hits the market. How do I respond and react to that? I need to be adaptable. I need to drive an AQ strategy on top of my EQ and iq, and we’ll talk more about that. So these are the operating principles, and we lay it out as a, as a diagram. And by the way, you see mutual trust. [00:09:26] Vince Menzione: Trust has to be in every room without trust, you have no partnerships, without trust, you have no business success. Like you can get buy in business, you can get buy in life, but trust is foundational. And I was very blessed to have that like grain ingrained in me as a young boy. Uh, so that’s our, that’s our operating principles. [00:09:48] Vince Menzione: Um, I’m working on a book right now. It’s almost done though. We’re, we’re talk, we’ll talk about that more, but that’s, that’ll be in the book. Um, and then we’ve been talking about tectonic shifts and I don’t know who said it first, Jay or, or me, but I know who you said it in the studio several years ago. [00:10:04] Vince Menzione: Jay’s been in our, our Boca studio many, many times. But we’ve been talking about tectonic shifts and Oh my gosh, right? So think about, I want everybody to think about this for a second. If you’ve been around tech for a while. We’ve gone through several, like these 10 year phases, the PC era, the cloud era, the well, the cloud. [00:10:23] Vince Menzione: We had client server, pc, client server, we had cloud, we had mobile, and now we hit ai. Those eras all took a period of time, right? They didn’t happen overnight. Like there was a trend like five, six years, seven years, maybe eight years, and then COVID happened, and I believe that COVID was the acceleration point because. [00:10:44] Vince Menzione: We were all forced to do things we didn’t do before. People went out and bought PCs that didn’t have them. Kids had to learn from home. Healthcare was administered tele telehealth, we didn’t do telehealth before. We had like 5% of the population to telehealth before that, uh, our work environment changed, right? [00:11:02] Vince Menzione: We were doing Zoom calls or teams calls back when I was at Microsoft Days, but the world started doing it. Our life started to change. That’s why being in the room places like this is so important. And so that really has accelerated everything. And this, you know, all these things have been accelerating over time and these are significant shifts. [00:11:22] Vince Menzione: We have the three leaders of the three marketplace organizations coming on stage here. Uh, the three hyperscalers, because marketplace went from, we were talking about it like, this is really cool. You need to go do it. A few years ago. So Microsoft lowering the rates on it, and then everything changed and then everybody started accelerating and it became the fungible token. [00:11:43] Vince Menzione: ’cause we used to, we used to partner, we used to take spreadsheets and put ’em up against each other and try to figure out deals and fax copies of deals that came in and say, we want credit for this one. And then Marketplace became a way to create a fun non fungible token. And really drive your success. [00:11:59] Vince Menzione: And so we have all the leaders that are running marketplaces in this room, by the way. So this is gonna be like the most incredible rich conversation. Co-selling. Co-selling is a, you know, a non-starter day. You have to co-sell it. People, we used to do vendor channel, which means I had somebody selling my stuff that’s not happening anymore. [00:12:19] Vince Menzione: And Jay, we’ll talk about the seven seats at the table. But this is all, these are all the things that have been changing. And of course, ai. I think that we are sitting here and I, I, I’ll share, and I’m stressing this, like this is, you need to be in this room because you’re gonna hear from leaders about what the next steps are. [00:12:35] Vince Menzione: ’cause I think we’re all paralyzed by AI and all the changes that are going on in our world and playbooks are no longer good because they’re outdated the week after they come out. So I need to, I need to follow this in real time. I think this is super important that you do, and it’s why we exist and it’s why this time is like no other. [00:12:53] Vince Menzione: I think, you know, we said maybe a generation, maybe it’s a lifetime in terms of the shifts that we’re seeing. So I, I kind of started here and I wanted to end here, uh, just because the light doesn’t go out. That’s what it’s all about. And this is it. This is it for me, right? This is my, my last run. I’m not gonna go work for a company after this. [00:13:16] Vince Menzione: I’m not gonna go into become a consultant. And I want this truly to be like special. And I want you to all feel like you’re part, you are part of it, and however much you wanna lean in and be part of it in the future, we want to grow this in the right way. I, I feel that we have an a unique opportunity. [00:13:34] Vince Menzione: Because we’re not a vendor, we’re not selling anything. I feel like we’re a platform. We’re that we’re that lighthouse and others can come in that are experts and I feel like more and more of ’em are showing up. And you know, the PDG guys did a great job today and others in the room and people that have been friends and supporting us for for years as on that sponsor slide. [00:13:56] Vince Menzione: And so we just want to continued this journey with each of you. Um, and so I want your feedback on what we’re doing. I want, I love your support. I love your passion. I love the fact that you’re still here in the room talking with, with or being here, listening to me today. Um, this is, that lighthouse is, you can see these pictures. [00:14:15] Vince Menzione: These are all family photos. Um, we go to that lighthouse, not because it’s a lighthouse, but uh, it happens to be like a landmark in our town. And, uh, it’s kind of cool. And actually the re Joe Namath has owns the restaurant across from the lighthouse, so we, we’ve got to see him a couple of times, which is kind of cool. [00:14:34] Vince Menzione: But I, I, I, I was posting this lighthouse when I started the podcast. And I was, yeah. ’cause that’s where I live and it’s my hometown. And I think about Dakota Rings and I think about other things. But, um, this is what matters. This is what matters is helping others. And we all are gonna need each other in this world because AI is gonna change our lives. [00:15:00] Vince Menzione: And dramatically it’s, I I think this is a once in a lifetime thing. But I think having people that you trust and being in the room with others where you can learn and grow and adapt, adaptability is so important. So, um, analog is the new digital as my, my good friend Gary V now says. And I think there’s this huge opportunity around what we do as ultimate partner to help everybody reach their pinnacle to everybody. [00:15:26] Vince Menzione: Be the ultimate partner. And I want to thank you for coming. I want your, thank you for your support, friendship, love. And, uh, you’re just an incredible group. Thank you. [00:15:41] Vince Menzione: Until next time, we’ll see you in person. Hopefully at our next event.

Show Notes: The conversation opens with an overview of the consulting market, mentioning the impact of interest rates, private equity, and AI on the industry. Chad shares his background, including his career at Deloitte Consulting, Bain, and Charles Aris, and the focus of his strategy recruiting practice. Chad explains the shift in Charles Aris's business from Fortune 500 strategy placements to private equity and portfolio companies. He details the types of roles his team places, including general strategy, chief of staff, transformation, and integration roles. Four Phases in the Consulting Industry Chad highlights the growth of private equity and its impact on the consulting market, including the increase in demand for consulting services. Chad outlines the four phases the consulting market has gone through over the past 24 months: downturn, rebound, downturn, and growth. Chad explains the impact of higher interest rates and tariffs on the consulting market, leading to reduced investments and consulting services. AI Growth Phase Chad discusses the rebound in 2025 due to lower interest rates and private equity adapting to the new normal. He highlights the current growth phase driven by AI and the understaffing of consulting firms due to previous downsizing. Chad emphasizes the candidate-driven market and the increased demand for consulting services, particularly in AI and go-to-market initiatives. Private Equity Chad identifies private equity and services firms (white and blue collar) as the two primary industries with high demand for consulting services. Chad explains the growth of private equity and its focus on due diligence and value creation initiatives. Chad discusses the impact of AI on due diligence, including commercial, operational, and technology due diligence. He  highlights the demand for consulting services in white and blue collar services firms, driven by private equity investments.  Areas of High Demand Chad transitions to discussing functional areas with high demand, starting with AI. Chad identifies AI as the number one functional area with high demand, focusing on increasing productivity and refocusing employees on high-value interactions. Chad explains the two types of AI consultants: AI strategists and AI implementers, and their roles in AI enablement. Chad discusses the importance of AI in various consulting projects and the need for consultants to embrace AI. Chad highlights the demand for go-to-market consulting initiatives, including CRM redesign, sales process redesign, and AI-powered territory optimization. Chad emphasizes the importance of understanding AI from a go-to-market perspective and the increasing demand for AI expertise. The Role of Transformation Consultants in PE Chad shares two AI use cases: an AI tool for a large international bank to automate research tasks and an AI sales planning platform for a pharmaceutical organization. Chad explains how AI automates repetitive tasks, allowing humans to focus on high-value interactions. Chad discusses the role of transformation consultants in private equity, emphasizing the need for a track record of getting things done, strong EQ, and analytical skills. Chad highlights the importance of influencing without direct authority and the analytical competencies required for transformation roles. Maximizing Opportunities Chad provides tips for client development with private equity firms, recommending reaching out to portfolio operations teams and deal partners. Chad identifies supply chain optimization and manufacturing footprint optimization as areas with declining demand due to the shift towards growth initiatives. Chad emphasizes that while some areas may have softened, there is still demand in most specialties. Chad discusses the relatively easy process of filling board roles and the limited demand for board searches. Chad advises independent consultants on positioning themselves to transition back to global firms, recommending reaching out to former colleagues and partners. Chad concludes by encouraging consultants to embrace AI and stay updated with market trends to maximize their opportunities. Timestamps: 03:48: Chad Oakley's Introduction 23:14: Market Overview  31:08: Consulting Market Phases and Current Trends  39:47: Industries and Functions with High Demand  47:19: AI and Go-to-Market Consulting Demand  55:24: AI Use Cases and Transformation Roles  1:03:43: Declining Demand Areas and Board Roles  This episode on Umbrex: https://umbrex.com/unleashed/651-current-state-of-the-consulting-market-in-2026/ Unleashed is produced by Umbrex, which has a mission of connecting independent management consultants with one another, creating opportunities for members to meet, build relationships, and share lessons learned. Learn more at www.umbrex.com. *AI generated timestamps and show notes.  

It was 2020. The world had just flipped upside down, and Andrea Mancuso's older brother was in the ICU with COVID. Andrea had a master's in therapeutic intervention. Fourteen years as a school psychologist in the New York City public schools. A whole career built on clinical skills and helping people through hard things.   And in those few days, she lost access to every bit of it. She was just afraid, wondering what was going to happen.   After three days, she sat up and told herself: you're either going to navigate this pandemic like this — which is no good for you or anybody else — or you're going to do something different. That was the day Intentional Healing and Wellness was born.   In this episode of Amuse Bouche Leadership Bites, Theresa sits down with Andrea — licensed mental health counselor, leadership coach, and the person who's helped Theresa through plenty of her own challenges — to talk about the part of leadership nobody hands you a handbook for.   They get into why entrepreneurship is personal development on steroids, why leading other people is the easy part and leading yourself is the work, and Andrea's premise that time does not heal all wounds — intention does. She shares the 82-year-old client who hired her at 80 because he was tired of feeling like he wasn't good enough.   Andrea breaks down emotional intelligence as the EQ advantage — the leading predictor of leadership success that almost nobody can actually name the skills of — and makes the case for radical responsibility: stop waiting for your employer to develop you and invest in yourself, because success leaves clues.   And there's the car. Are you in the driver's seat with the windows down and your music on — or in the back seat, waiting to see who gets in, how fast they drive, and whether they even show up?   Here's the real question this one leaves you with: what's the thing that already popped into your mind — the one that needs your attention? Because the moment you give it attention, you set yourself free.   Key Takeaways: • Leadership isn't really about your relationship with other people — entrepreneurship taught Andrea it's about how you lead yourself. • It's harder NOT to do the inner work. Convincing yourself it's too hard to look keeps you stuck at a ceiling you don't belong at. • Time does not heal all wounds — intention does. The wound that's already on your mind is the one asking for attention. • Emotional intelligence is the leading predictor of leadership success, yet it's made up of 15 skills almost no one can name. That gap is the EQ advantage. • Flexibility is one of those EQ skills — and we're rarely the best judge of our own. We see ourselves one way; the people around us see something else. • Radical responsibility: don't outsource your growth to your employer's training budget. Invest in yourself — coaching, therapy, even just the book — because success leaves clues. • Hard skills get you hired; human skills make you a leader. Andrea saw it as a school psychologist — high EQ predicted who'd be fine far better than IQ ever did. • You're not just the writer of your story — you're the director, the producer, and the lead. Living as if life happens to you is riding in the back seat. • When you promote someone, clarity and training aren't optional. You can't hand someone a 'handbook of excellence' and expect them to know how to lead.   Timestamps / Chapter Markers: 00:01   Meet Andrea Mancuso 01:20   Who Andrea is: Intentional Healing and Wellness, leadership + midlife coaching 01:55   14 years as a school psychologist — the one part of life she thought she had figured out 03:20   The golden handcuffs — the NYC package she felt committed to 04:00   2020: her brother in the ICU, and losing access to every skill she had 04:32   After three days Intentional Healing and Wellness is born 05:01   September 2021: pulling the plug and jumping fully into entrepreneurship 05:35   The program that started it all: Momentum Education, July 2016 06:55   Forget Tony Robbins — just become an entrepreneur (personal development on steroids) 08:10   The reframe: leadership is about how you lead yourself 08:16   Why entrepreneurs hide instead of being themselves 12:23   The lie that keeps you at your ceiling 13:31   "I can't believe I was afraid of this. I wish I did it sooner." 15:26   Two layers of stuff: the original wound plus everything we used to avoid it 15:55   The 82-year-old client and the premise: time doesn't heal all wounds, intention does 17:57   The car ride: driver's seat vs. back seat, and the double whammy of self-abandonment 23:14   "I didn't know what brought me joy" — Brooklyn grit and rediscovering joy in midlife 25:22   The corporate pivot: layoffs, AI, and managers handed an old playbook 27:44   Emotional intelligence: the leading predictor no one can name (15 skills, no hands up) 30:34   Radical responsibility: stop waiting for your employer to develop you 37:37   IQ vs. EQ: the students whose soft skills told her they'd be just fine 40:38   Lightning round questions for Andrea 45:13   What she's most grateful for 47:06   Where to find Andrea   If Andrea named the thing that's been sitting on your mind — hit subscribe, share it with someone who's been running from their own work, and leave a review so more leaders find their way here.   And if something came up while you listened, send her a message — she'd love to hear from you.  

Send us Fan MailThe sermon for Sunday, June 21, 2026, carries two messages: the first is on Father's Day from the mother of Legacy church, its co-founder, Shanda Miller; followed by Week 4 in our series called The Fracture, which looks at disruptive and dysfunctional patterns. Today we examined Leviathan.Learn more about Legacy Church: https://www.legacychurchint.org/Follow us on Facebook: https://www.facebook.com/legacychurchohFollow us on YouTube: www.youtube.com/@LegacyChurchOHSow into what we're doing: legacychurchint.org/give#TheFracture #leviathan #dads #dad #fathers #fathersday #GodIsMyDad #asheissoareweinthisworld #asheissoareweinthisworld #unveiled #conscience #sons #manifestsons #union #legacychurchoh #newcreation #jesus #church #jesuschrist #gospel #transfigured #revelator #apostle #deathless #immortality #believe #bible #creator #godisgood #grace #hope #sermonshots #sermonclips #holyspirit #love #godislove #kingdom #peace #freedom #facebook #memes #truth #inspiration #motivationalquotes #vibes #positivevibes #christ #jesuslovesyou #russellbrand #jordanbpeterson #joerogan #atm #tommymiller #soulintelligence #EQ #emotionalintelligence Support the show

"Back on May 31st Black Crowes frontman Chris Robinson chided an audience for chanting USA. Much of the audience then walked out. I wondered if this had happened before and it certainly did. We have multiple examples of an audience turning on the performer and vice versa. For many we have the audio from the stage."

In this episode of Nerdy Bitz: TL;DL (Too Long; Didn't Listen), The Reverend Tracy takes a deeper look at one of the most fascinating concepts discussed during our recent fatherhood conversations: Normative Male Alexithymia.What happens when boys grow up in environments where emotional expression is discouraged, emotional vocabulary is limited, and vulnerability is treated as weakness? According to psychologist Ronald Levant, many men may develop difficulties identifying, understanding, and communicating their emotions—not because they don't have feelings, but because they were never taught the language needed to express them.The Reverend Tracy explores the origins of Normative Male Alexithymia, the cultural messages that contribute to it, and the neuroscience behind why emotional habits become deeply ingrained over time. From "man up" and "walk it off" to households where feelings were rarely discussed, this episode examines how emotional suppression can become a learned survival strategy that follows people into adulthood.Along the way, you'll discover why emotional literacy should be viewed as a learnable skill rather than a personality trait, how alexithymia differs from a lack of emotion, and why difficulties with emotional awareness can impact relationships, parenting, communication, conflict resolution, and mental health.Most importantly, The Reverend Tracy challenges listeners to move beyond blame and shame toward understanding and growth. Drawing connections to emotional intelligence (EQ), The Reverend Tracy offers practical strategies for developing emotional awareness, including expanding emotional vocabulary, practicing self-reflection, and learning to identify feelings with greater precision.Whether you're a parent raising boys, a man trying to better understand your own emotional world, or simply someone interested in psychology and human behavior, this episode provides a compassionate and thought-provoking exploration of a topic that affects far more people than most realize.Because you can't fluently speak an emotional language nobody taught you—but you can learn it. And together, we can do a better job teaching it to the next generation.Support Friends Talking Nerdy on ⁠⁠⁠⁠⁠⁠⁠⁠Patreon⁠⁠⁠⁠⁠⁠⁠⁠.As always, we wish to thank Christopher Lazarek for his wonderful theme song. Head to his ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠website⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for information on how to purchase his EP, Here's To You, which is available on all digital platforms.Head to Friends Talking Nerdy's⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ website⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠for more information on where to find us online.

I am obsessed with emotional intelligence. It is something I have always done naturally without knowing what it was called. Emotional intelligence, or EQ, measures your capacity to understand, perceive, and manage emotions, your own and other people's.  While IQ measures cognitive and logical ability, EQ measures your capacity for interpersonal success. Higher emotional intelligence is linked to better stress management, more satisfying relationships, and greater leadership potential at work.  The eight traits in this episode are how higher EQ shows up in real life, and they are all skills you can practice to raise yours at any age. Read the show notes for today's episode at terricole.com/839

Most high performers don't get passed over because of what they know. They get passed over because of how they lead. In this episode, Dr. Bushra Khan makes the case that emotional intelligence isn't a soft skill, it's the strategic operating system every leader needs right now, especially as AI reshapes what work looks like. In this conversation, she breaks down: Why 'be more strategic' on a performance review usually means something specific and fixable. How influence actually works in the brain, and why title alone won't get people to go above and beyond. A concrete KPI approach for measuring emotional intelligence that most organizations aren't tracking yet. Timestamps [00:00:42] Emotional intelligence as the operating system for the future of work [00:02:30] Why 'soft skills' is out — and 'strategic skills' is in [00:03:10] How technical experts plateau: the real meaning of 'not strategic enough' [00:05:47] What 'be more strategic' is actually code for [00:07:26] Micromanagement as a symptom of not knowing how to teach others [00:09:09] The Peter Principle in action: when great individual contributors struggle to lead [00:12:19] Why title doesn't equal influence — and what builds rapport instead [00:16:55] Integrity in leadership: what it looks like when leaders actually walk the walk [00:17:15] How to give feedback that makes people better, not defensive [00:19:57] Measuring emotional intelligence: the KPI framework most orgs are missing Guest Bio: Dr. Bushra Khan is a founder, educator, and leadership expert with over 15 years of experience in organizational development and adult learning. With a doctorate in Educational Leadership, deep research in emotional intelligence alongside global experts, and the creation of a top-rated executive leadership program (clients include Google, Government of Canada, and ERCOT), her impact is both measurable and deeply human. Dr. Khan helps high-performing professionals strengthen their strategic capabilities, lead with integrity, turn their expertise into meaningful influence, and shape their leadership philosophy. She describes her work as a calm, compelling signal in the noise — a space where leaders come for clarity, rising professionals see possibility, and organizations recognize that emotional intelligence isn't a nice-to-have: it's the operating system for the future of work. Brought to You by Paylocity Paylocity is the fastest growing unified platform for HR, Finance, and IT. Paylocity brings your people, processes, and data together in one place so HR leaders can spend less time managing systems and more time doing the work that actually moves their organizations forward. Learn more at paylocity.com Keywords: emotional intelligence, EQ, leadership, strategic skills, soft skills, HR leadership, performance management, people management, coaching, micromanagement, influence, integrity, feedback, AI and leadership, KPIs, organizational culture, future of work, Dr. Bushra Khan, HR Mixtape, Paylocity

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In this episode, Dee Kei breaks down how he actually thinks about mixing vocals — and it's probably not what you'd expect. Before touching a plugin, an EQ, or a compressor, the most important step is understanding the intention behind the song. Is it a club banger or an intimate bedroom record? A polished pop vocal or something raw that's supposed to feel that way? Dee explains why blindly applying mixing techniques without reading context is the number one mistake engineers at every level make.From there, he dives into the fundamentals: how low-mids shape intimacy versus energy, why most beginners over-de-ess their vocals, when heavy compression works in your favor and when it fights the song, and how vocal placement in the mix is determined by the density and genre of the track. He also gets real about something not enough people talk about — the rise of intentionally "rough" sounding mixes that are racking up streams, and what that means for how you serve your clients.Whether you're a bedroom producer mixing your first song or a working engineer looking to sharpen your instincts, this episode will shift how you approach every vocal session.SUBSCRIBE TO OUR PATREON FOR EXCLUSIVE CONTENT!⁠SUBSCRIBE TO YOUTUBE⁠Join the ‘Mixing Music Podcast' Discord!HIRE DEE KEIHIRE LU⁠HIRE JAMES⁠Find Dee Kei and Lu on Social Media:Instagram: @DeeKeiMixes @MasteredbyLu @JamesParrishMixesTwitter: @DeeKeiMixes @MasteredbyLuThe Mixing Music Podcast is sponsored by ⁠Izotope⁠, ⁠Antares (Auto Tune)⁠, Sweetwater, ⁠Plugin Boutique⁠, ⁠Lauten Audio⁠, ⁠Filepass⁠, & ⁠Canva⁠The Mixing Music Podcast is a video and audio series on the art of music production and post-production. Dee Kei, Lu, and James are professionals in the Los Angeles music industry having worked with names like Odetari, 6arelyhuman, Trey Songz, Keyshia Cole, Benny the Butcher, carolesdaughter, Crying City, Daphne Loves Derby, Natalie Jane, charlieonnafriday, bludnymph, Lay Bankz, Rico Nasty, Ayesha Erotica, ATEEZ, Dizzy Wright, Kanye West, Blackway, The Game, Dylan Espeseth, Tara Yummy, Asteria, Kets4eki, Shaquille O'Neal, Republic Records, Interscope Records, Arista Records, Position Music, Capital Records, Mercury Records, Universal Music Group, apg, Hive Music, Sony Music, and many others.This podcast is meant to be used for educational purposes only. This show is filmed and recorded at Dee Kei's private studio in North Hollywood, California. If you would like to sponsor the show, please email us at ⁠deekeimixes@gmail.com⁠.Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy