Podcasts about Salesforce

Ever wonder why some COOs scale businesses to legendary heights while others get swallowed by chaos and politics? If you're craving clarity, confidence, and uncommon edge in your second-in-command role, this Fan Favorite episode is your wake-up call. Cameron Herold sits down with Matt MacInnis, COO of Rippling and co-founder of Inkling, for a raw, actionable conversation about the real challenges behind hyper-growth, hiring, trust, and culture. They dig into what makes the COO role so “special,” how to build a game-changing flywheel, and why patience, precision, and authenticity are the ultimate power moves.The pain of “going it alone” is real. Tune in to learn how to avoid disaster, dodge politics, and harness proven tactics you won't find in any business book. Don't wait until burnout bites. Listen now for fiercely exclusive COO insights, bold truths, and systems that will let you scale smarter, not harder.Timestamped Highlights[00:02:22] – The hidden pain in HR, IT, and how Rippling breaks the “original sin” of bad data[00:05:55] – Why Matt almost walked away—then got schooled by Parker's contrarian “rocket ship” logic[00:08:30] – The untold power of preexisting trust between CEO and COO—and what happens if you hire without it[00:12:49] – Topgrading secrets: Why most executive hiring fails and how to get it right (even when everyone says they're an “A player”)[00:15:44] – Copilot dynamics: How Matt and Parker run the company with surprisingly little contact (and why it works)[00:19:18] – Should you debate the CEO in front of the team? The cathartic, risky art of public disagreement[00:23:13] – Inside Rippling's flywheel advantage—what Salesforce, Facebook, and Brex did differently and why you can too[00:31:04] – Killing bureaucracy and politics: The simple rule for hiring and process that most leaders ignore[00:39:29] – The brutal, proven formula for layoffs: What Sequoia teaches (and how to survive the “survivor's guilt”)About the GuestMatt MacInnis is the Chief Operating Officer of Rippling, a revolutionary all-in-one HR and IT platform transforming how businesses scale and manage people. Matt was also the co-founder and CEO of Inkling, a mobile learning platform that raised over $100M before its acquisition. With deep roots at Apple and a Harvard engineering degree, Matt blends big-company brilliance with entrepreneurial firepower. He's known for breaking boring business norms and igniting hyper-growth, all while refusing to tolerate politics, inefficiency, or shallow executive hiring.

AI agent implementations fail when companies lack proper data foundations and change management. Ariel Kelman, President and CMO at Salesforce, explains how his company achieved measurable results with AgentForce across customer service and marketing operations. The discussion covers Salesforce's trust-first approach to AI context, their $100 million cost savings from automated customer support, and the 20% increase in sales pipeline from website AI agents.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Stevie Case is the CRO of Vanta, the trust management platform serving everyone from founders to Fortune 100 CISOs. A former pro-video gamer who stumbled into sales through a mentor's bet, Stevie has built one of the most unconventional paths to the C-suite in tech. In this episode, she unpacks why early revenue hires fail, what separates a true CRO from a VP of Sales, and why she believes fewer than 10% of current CROs will thrive by 2028. In today's episode, we discuss: Why early revenue hires fail What a top 1% CRO actually does The scaling mistake Stevie made by copying Twilio's playbook at Vanta Why Vanta remains 100% sales-led at every segment AI vs. humans in go-to-market References: Cursor: https://cursor.sh/ Gong: https://www.gong.io/ Salesforce: https://www.salesforce.com/ Twilio: https://www.twilio.com/ Vanta: https://www.vanta.com/ Where to find Stevie: LinkedIn: https://www.linkedin.com/in/steviecase/ Where to find Brett: LinkedIn: https://www.linkedin.com/in/brett-berson-9986094/ Twitter/X: https://twitter.com/brettberson Where to find First Round Capital: Website: https://firstround.com/ First Round Review: https://review.firstround.com/ Twitter/X: https://twitter.com/firstround YouTube: https://www.youtube.com/@FirstRoundCapital This podcast on all platforms: https://review.firstround.com/podcast Timestamps: 00:00 Why early revenue hires fail 02:23 Who to hire at $5M in revenue 04:16 Coin-operated sellers vs. long-term builders 05:57 What excellence looks like in the CRO role 07:44 Metrics, confidence, and velocity 12:04 Should CROs lead sales? 14:39 From shy seller to revenue leader 16:36 Learning to scale at Twilio 17:44 "There is no CRO playbook" 19:58 Stevie's scaling mistake at Vanta 22:16 Why Vanta stays 100% sales-led 23:16 The value of planning 24-26 months ahead 29:54 When trusting intuition was the wrong call 30:49 Do humans still have a place in the future of GTM? 33:33 Stevie's leadership non-negotiables 36:36 The myth of hiring for industry expertise 40:00 What stays centralized in a 600-person company 47:09 The hidden leverage of a customer's first 30 days 53:42 Why the CRO role will face enormous changes by 2028 58:42 What leaders must do now to stay relevant 01:02:30 Unpacking the CEO-CRO dynamic

AI agent implementations fail when companies lack proper data foundations and change management. Ariel Kelman, President and CMO at Salesforce, explains how his company achieved measurable results with AgentForce across customer service and marketing operations. The discussion covers Salesforce's trust-first approach to AI context, their $100 million cost savings from automated customer support, and the 20% increase in sales pipeline from website AI agents.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Send a textIn this episode of the B2B Go-To-Market Leaders Podcast, Vijay Damojipurapu sits down with AJ Gandhi, Chief Growth Officer and Go-To-Market Operating Partner, to unpack what it really takes to build a high-performing, holistic GTM engine.With a career spanning Bain, McKinsey, venture-backed startups, Salesforce, RingCentral, and private equity, AJ brings a rare 360-degree perspective on strategy, sales, marketing, partner ecosystems, and post-sales execution.AJ defines go-to-market as the entire lifecycle journey of a customer — not just sales — and explains why most companies underperform because they fail to integrate product, marketing, sales, partners, and customer success into a unified system.They dive into:Why GTM must be holistic across the full “bow tie,” from acquisition to expansion and advocacy.The diagnostic framework AJ uses to assess strategy, talent, execution, and performance in portfolio companies.How to identify waste in sales coverage, geography expansion, marketing spend, and organizational design.Why partner ecosystems follow the 80/20 rule — and how doubling down on top partners drives disproportionate returns.The importance of measuring value realization, not just selling ROI promises.How to elevate mid-level business problems to CFO-level strategic priorities through economic impact framing.Lessons from scaling enterprise and mid-market GTM motions — and the danger of straying from your ICP.Why pricing optimization and expansion within existing customers often deliver faster impact than new logo acquisition.The leadership discipline required in the first 100 days of a transformation.And AJ's advice to rising GTM professionals: master the fundamentals, focus on the 80/20, and develop influence without authority.This episode is a masterclass in combining strategic rigor with execution discipline — and a reminder that sustainable growth comes from fundamentals done exceptionally well.Connect with Vijay Damojipurapu on LinkedInBrought to you by: stratyve.com

Episode Sponsor - Airia.comThe AI Compiler Debate: Anthropic's Claude-generated C compiler has sparked controversy; while marketed as a milestone, hands-on testing reveals it is fragile, significantly slower than traditional compilers (like GCC), and heavily reliant on human-written code.The SaaS "Death Spiral": The traditional "per-seat" licensing model for software is under threat as AI agents begin to do the work of multiple people, leading to massive market cap losses for giants like Salesforce and Adobe.Safety and Ethics Concerns: Beyond the "doomerism" of upcoming AI documentaries, real-world concerns are mounting, including lawsuits against AI-powered surgical tools (TruDi Navigation System) and Meta's patent for AI that replicates the online behavior of deceased users.Innovation vs. "Vibe Coding": There is a growing shift toward "vibe coding"—prioritizing the speed of AI generation over long-term stability—which critics argue creates bloated software and significant technical debt.The Rise of Autonomous Models: Intelligence is becoming a commodity through high-performance open-weight models (like Qwen and MiniMax), pushing the industry away from human-centric dashboards toward autonomous orchestration.@trikcode@rushicrypto

Are we being left behind...Let's think about this for a moment.Architects have AutoCAD. Finance folks have Excel. Sales teams have Salesforce. The list goes on.But what do we as service design professionals have? If we're a bit cynical, you could say that often it's a wall of sticky notes (that the cleaners throw away at night).This brings up a deep and often unspoken insecurity in our field. Could it be that our work is seen as "fluffy" or "invisible" because we lack the "hard" tools that other departments have? That is the provocative question Maxe van Heeswijk brought to the Circle community recently. She challenged us to think about whether having "our own software" would help us claim our territory and be taken more seriously by stakeholders.But to which extent can a tool be the answer to our problems?Will Sharples joined the conversation with a different take. He argues that stakeholders don't actually care about our process or our "proper" service design tools, they just want their problems solved.So in this episode of Inside Service Design, we explore this tension between wanting to be "seen" as experts and the messy reality of getting work done in-house.This conversation is packed with spicy topics like:Whether having a dedicated tool makes you more legitimate, or does it just create new silos? Why our most important work is often the hardest to measure (and get budget for).A brutal method for stripping away busy work to focus on the assets that actually tell a story.And why you are "always selling" the value of service design, even years after you've been hired.So, if you've ever felt like you're doing important work... that nobody sees, this episode is for you.What do you feel is the service design tool at the moment? Do we even have one?Let me know, I'm really curious to hear your take!Be well, ~ Marc--- [ 1. GUIDE ] --- 00:00 Welcome to December Round Up01:00 Meet the Guests 04:00 From Physical Engineering to Digital Services 06:30 From Philosophy & Advertising to SD 10:15 Balancing Financial Goals vs. Trust 15:15 Securing Long-Term Funding 18:00 Why Patience is a Superpower 21:45 Thought Experiment26:30 Do We Need Professional Software?35:00 Is Design Too Democratized 44:15 Relationship Building is Slow Farming51:00 Pragmatism vs. The Design Bibles52:45 The Hidden Skill55:45 Navigating Company Politics59:30 Wrap-Up --- [ 2. LINKS ] --- https://www.linkedin.com/in/maxevanheeswijk/https://www.linkedin.com/in/will-sharples-85a40580/ --- [ 3. CIRCLE ] --- If you're an in-house service design professional and want to learn from the stories of your peers, take a look at the Circle, it might just be the thing you're looking for.Join our private community for in-house service design professionals:⁠https://servicedesignshow.com/circle--- [4. FIND THE SHOW ON] ---Youtube ~ https://go.servicedesignshow.com/inside-service-design-09-youtubeSpotify ~ https://go.servicedesignshow.com/inside-service-design-09-spotifyApple ~ https://go.servicedesignshow.com/inside-service-design-09-appleSnipd ~ https://go.servicedesignshow.com/inside-service-design-09-snipd

What happens when you deploy to prod on a Friday and it starts firing emails to every customer? Dan Barckley has lived it — and it's why he's now a DevOps believer. In this episode: accidental admin origins, why simple beats complex every time, Agentforce skepticism, and the leadership mindset that changes everything.About DevOps Diaries: Salesforce DevOps Advocate Jack McCurdy chats to members of the Salesforce community about their experience in the Salesforce ecosystem. Expect to hear and learn from inspirational stories of personal growth and business success, whilst discovering all the trials, tribulations, and joy that comes with delivering Salesforce for companies of all shapes and sizes. New episodes bi-weekly on YouTube as well as on your preferred podcast platform.Podcast produced and sponsored by Gearset. Learn more about Gearset: https://grst.co/4iCnas2About Gearset: Gearset is the leading Salesforce DevOps platform, with powerful solutions for metadata and CPQ deployments, CI/CD, automated testing, sandbox seeding and backups. It helps Salesforce teams apply DevOps best practices to their development and release process, so they can rapidly and securely deliver higher-quality projects. Get full access to all of Gearset's features for free with a 30-day trial: https://grst.co/4iKysKWChapters:01:36 Introducing Daniel Barckley: A Journey in Salesforce04:16 The Joy of Problem Solving in DevOps07:05 Learning from Mistakes: The Accidental Admin09:35 Tinkering and Innovation: Building in Salesforce12:37 The Importance of Mentorship and Leadership15:21 Characteristics of Great Leaders18:18 Navigating the Salesforce Ecosystem20:46 The Future of Salesforce: AI and Automation23:46 Data Management and Business Continuity26:43 Iterative Development and Continuous Improvement29:19 Embracing Change in the Tech World32:11 Closing Thoughts: Lead with Curiosity

In this episode of The Risk Reversal Podcast, Dan Nathan and Guy Adami break down the massive rotation rocking the tech sector. Why are investors dumping software darlings like Salesforce, Adobe, and Oracle while Apple hits new highs? The guys debate whether the "AI tailwind" has officially become a headwind for SaaS companies and if the massive infrastructure spend by Microsoft and Google will ever generate a real return. After the break, Dan sits down with Jason Wilk, Founder and CEO of Dave ($DAVE). Jason shares his incredible founder journey—from a professional golf aspirant to landing Mark Cuban as a lead investor who capped his salary at $30k. They discuss how Dave is using AI-driven underwriting to disrupt JPMorgan and Wells Fargo, slashing default rates from 20% to 1%, and the future of fintech in a high-rate environment. —FOLLOW USYouTube: @RiskReversalMediaInstagram: @riskreversalmediaTwitter: @RiskReversalLinkedIn: RiskReversal Media

Most AI agents fail because companies lack proper data context and foundations. Ariel Kelman, President and CMO at Salesforce, explains why 95% of generative AI pilots don't deliver measurable business impact. He discusses Salesforce's trust-first approach with AgentForce, which has generated over $27 million in incremental pipeline and saved $100 million through automated customer support handling 77% of cases.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

SaaStr 842: The 90/10 Rule for AI Agents: What to Build vs Buy with SaaStr's CEO and CAIO SaaStr's Chief AI Officer, Amelia Lerutte, and SaaStr CEO & Founder Jason Lemkin break down SaaStr's evolving 90/10 rule for AI agents and apps: buy 90% off the shelf, build the 10% you can't find. In this episode, they walk through two recently built tools: an internal AI VP of Marketing and an external-facing customer portal, and share the real trade-offs of deploying vibe coding apps into production. Topics covered: Why we replaced a paid SaaS tool with a vibe-coded app (and what pushed us over the edge) How Claude Cowork changed the game for building more complex apps The role of writing a spec before vibe coding Tackling single sign-on as a non-engineer How we used Cowork to process 150+ customer contracts in hours instead of days Lovable's data on what people are actually vibe coding Maintenance costs and the hidden time suck of custom apps Why zero AI in your product should scare you The "jaw drop" test for SaaS products in 2026 -------------------------------------- Tools & resources mentioned: Replit, Claude Cowork, Clerk, Lovable, Zapier, Salesforce, Monaco

What if the root of your exhaustion isn't burnout, but loneliness? In this thought-provoking episode, DeDe HalfHill—retired Air Force colonel turned leadership expert—shares vulnerable stories about the hidden costs of leadership and reveals why addressing “the messy human side” is non-negotiable. Together Marli & DeDe explore the power of authentic leadership, emotional intelligence, and what happens when leaders give themselves and their teams permission to be real. You'll hear surprising examples from the military and beyond, plus practical mindset shifts for navigating chaos, self-doubt, and the ever-present imposter syndrome. Ready to upgrade your leadership toolkit and banish the myth of the lonely leader? Tune in and discover why normalizing messy emotions might be the ultimate performance hack.DeDe Halfhill Bio:Colonel DeDe Halfhill, USAF (Ret.), is a leadership strategist, keynote speaker, and founder of TAIOH Partners who helps organizations turn hidden friction and burnout into trust, momentum, and measurable performance. Her leadership has been featured on CBS's 60 Minutes and in Dr. Brené Brown's Dare to Lead, where Brown describes her as one of her “leadership heroes and a total badass.” Through her Master the UnseenTM framework, DeDe gives leaders practical language and tools to navigate hard conversations, name what's really going on, and build resilient, deeply connected teams, especially amid uncertainty and change. Her clients include Salesforce, Lockheed Martin, Bank of America, Hearst, FEMA, and other organizations where courageous, emotionally intelligent leadership is a non‐negotiable.Marli Williams is an international keynote speaker, master facilitator, and joy instigator who has worked with organizations such as Nike, United Way, Doordash, along with many colleges and schools across the United States. She first fell in love with transformational leadership as a camp counselor when she was 19 years old. After getting two degrees and 15 years of leadership training, Marli decided to give herself permission to be the “Professional Camp Counselor” she knew she was born to be. Now she helps incredible people and organizations stop waiting for permission and start taking bold action to be the leaders and changemakers they've always wanted to be through the power of play and cultivating joy everyday. She loves helping people go from stuck to STOKED and actually created her own deck of inspirational messages called StokeQuotes™ which was then followed by The Connect Deck™ to inspire more meaningful conversations. Her ultimate mission in the world is to help others say YES to themselves and their big crazy dreams (while having fun doing it!) To learn more about Marli's work go to www.marliwilliams.com and follow her on Instagram @marliwilliamsStay Connected to The Marli Williams PodcastFollow us on Instagram: @marliwilliamsOur Website: www.podcast.marliwilliams.comHire Marli to Speak at your next event, conference, workshop or retreat!www.marliwilliams.comReally love the podcast and want to share it??Give us a review on your favorite platform and share this (or any) episode with a...

We discuss the recent market dislocation where SaaS stocks are crashing while the broader market hits all-time highs. We break down the three main fears driving the sell-off and debate which companies—like Adobe and Salesforce—are actually at risk. Finally, we share how we are handling the volatility, with Jeff buying more Shopify and Jason using a "barbell strategy" to stay sane.02:27 Housekeeping03:53 Episode Setup06:37 Three AI Threats to SaaS: 09:23 Is AI Really Different? 12:59 Stock Spotlight: Adobe18:35 The Real Issue: Moats, Stickiness, Switching Costs, and Resetting SaaS Multiples23:18 LLMs Aren't Free23:49 Why SaaS Stocks Are Selling Off25:11 Shopify vs. Toast27:06 Disruption Timelines & Valuation Reratings29:19 Earnings Season as the Reality Check31:53 Tactical Moves: Selling Puts for Margin of Safety33:02 Barbell Portfolio Strategy: Growth on One Side, Dividends on the OtherCompanies mentioned: ABNB, ADBE, ASAN, CRM, CRWD, ENPH, EPR, MNDY, MSFT, NOW, O, PYPL, SHOP, SQ, TEAM, TOST, TTDFind where to listen & subscribe,  portfolio contests, and contact information at https://investingunscripted.com*****************************************To get 15% off any paid plan at fiscal.ai, visit https://fiscal.ai/unscriptedListen to the Chit Chat Stocks Podcast for discussions on stocks, financial markets, super investors, and more. Follow the show on Spotify, Apple Podcasts, or YouTube*****************************************Join our PatreonSubscribe to our portfolio on Savvy Trader

Most AI agents fail because companies lack proper data context and foundations. Ariel Kelman, President and CMO at Salesforce, explains why 95% of generative AI pilots don't deliver measurable business impact. He discusses Salesforce's trust-first approach with AgentForce, which has generated over $27 million in incremental pipeline and saved $100 million through automated customer support handling 77% of cases.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Starting the week strong, Procore announced financial results for the fourth quarter and full year ended December 31, 2025. Then, NetSuite announced a series of innovations that will help organizations increase efficiency and accelerate growth. In other news, ECI announced the introduction of its fleet tracking integration into its Davisware GlobalEdge and Vision field service products, with fleet telematics provider Azuga. Finally, Salesforce signed a definitive agreement to acquire Cimulate, an emerging leader in AI-powered product discovery and agentic commerce. Connect with us!https://www.erpadvisorsgroup.com866-499-8550LinkedIn:https://www.linkedin.com/company/erp-advisors-groupTwitter:https://twitter.com/erpadvisorsgrpFacebook:https://www.facebook.com/erpadvisorsInstagram:https://www.instagram.com/erpadvisorsgroupPinterest:https://www.pinterest.com/erpadvisorsgroupMedium:https://medium.com/@erpadvisorsgroup

Corey duBrowa spent much of his career advising some of the world's most scrutinized leaders — from Howard Schultz at Starbucks and Marc Benioff at Salesforce to Sundar Pichai at Google. Now, as CEO of global communications firm Burson, he's helping executives navigate a charged marketplace shaped by AI disruption, ICE activity, and nonstop reputational risk. duBrowa explains why reputation remains one of the most powerful (and most misunderstood) assets in business, and how leaders should decide whether, when, and how to speak up.Visit the Rapid Response website here: https://www.rapidresponseshow.com/See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Most AI implementations fail because companies lack proper data context and integration. Ariel Kelman is President and Chief Marketing Officer at Salesforce, leading their global marketing organization and Agentforce AI platform development. Salesforce's trust-first approach connects enterprise data to AI models, enabling 77% case resolution rates and $100+ million in cost savings through their customer support agents, plus 20% increased sales pipeline from website AI interactions.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Send a textThis week's enterprise software developments underscore a widening gap between rapid AI-driven platform innovation and the unresolved execution risks embedded in large-scale ERP programs. On one side of the ledger, Mendix and OutSystems both advanced their agentic AI roadmaps with new releases aimed at operationalizing autonomous workflows, while ServiceNow's unveiling of its AI Experience, Sprinklr's new AI capabilities, and Braze's product enhancements at Forge 2025 reinforce how aggressively vendors across ITSM, CX, and marketing automation are repositioning around AI-first interaction layers. Salesforce's latest Slack updates and Upstream Works' enhanced agent desktop further extend this trend into collaboration and contact center operations, signaling that AI augmentation is now table stakes across front-office and service environments. In parallel, Plex's expanded connected worker integrations highlight how these same concepts are being pushed into manufacturing execution and workforce enablement, while Cleo's invoice payment and financing solution reflects growing pressure to modernize B2B financial operations. Yet this innovation narrative is tempered by Daedong USA's loss of an injunction in its ERP dispute—placing its $11.4 billion suit in jeopardy—which serves as a reminder that beneath the AI acceleration, legacy implementation failures, legal exposure, and governance breakdowns continue to create material risk for enterprises betting on large transformation programs.In today's episode, we invited a panel of industry analysts for a live discussion on LinkedIn to analyze current enterprise software stories. We covered many grounds including the direction and roadmaps of each enterprise software vendors. Finally, we analyzed future trends and how they might shape the enterprise software industry.Video: https://www.youtube.com/watch?v=_Arr9GjwOBsQuestions for Panelists?

Corey duBrowa spent much of his career advising some of the world's most scrutinized leaders — from Howard Schultz at Starbucks and Marc Benioff at Salesforce to Sundar Pichai at Google. Now, as CEO of global communications firm Burson, he's helping executives navigate a charged marketplace shaped by AI disruption, ICE activity, and nonstop reputational risk. duBrowa explains why reputation remains one of the most powerful (and most misunderstood) assets in business, and how leaders should decide whether, when, and how to speak up.Visit the Rapid Response website here: https://www.rapidresponseshow.com/See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Most AI implementations fail because companies lack proper data context and integration. Ariel Kelman is President and Chief Marketing Officer at Salesforce, leading their global marketing organization and Agentforce AI platform development. Salesforce's trust-first approach connects enterprise data to AI models, enabling 77% case resolution rates and $100+ million in cost savings through their customer support agents, plus 20% increased sales pipeline from website AI interactions.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode of Resilient Cyber, we will be sat down with Ari Marzuk, the researcher who published "IDEsaster", A Novel Vulnerability Class in AI IDE's.We will be discussing the rise of AI-driven development and modern AI coding assistants, tools and agents, and how Ari discovered 30+ vulnerabilities impacting some of the most widely used AI coding tools and the broader risks around AI coding.Ari's background in offensive security — Ari has spent the past decade in offensive security, including time with Israeli military intelligence, NSO Group, Salesforce, and currently Microsoft, with a focus on AI security for the last two to three years.IDEsaster: a new vulnerability class — Ari's research uncovered 30+ vulnerabilities and 24 CVEs across AI-powered IDEs, revealing not just individual bugs but an entirely new vulnerability class rooted in the shared base IDE layer that tools like Cursor, Copilot, and others are built on."Secure for AI" as a design principle — Ari argues that legacy IDEs were never built with autonomous AI agents in mind, and that the same gap likely exists across CI/CD pipelines, cloud environments, and collaboration tools as organizations race to bolt on AI capabilities.Low barrier to exploitation — The vulnerabilities Ari found don't require nation-state sophistication to exploit; techniques like remote JSON schema exfiltration can be carried out with relatively simple prompt engineering and publicly known attack vectors.Human-in-the-loop is losing its effectiveness — Even with diff preview and approval controls enabled, exfiltration attacks still triggered in Ari's testing, and approval fatigue from hundreds of agent-generated actions is pushing developers toward YOLO mode.Least privilege and the capability vs. security trade-off — The same unrestricted access that makes AI coding agents so productive is what makes them vulnerable, and history suggests organizations will continue to optimize for utility over security without strong guardrails.Top defensive recommendations — Ari emphasized isolation (containers, VMs) as the single most important control, followed by enforcing secure defaults that can't be easily overridden, and applying enterprise-level monitoring and governance to AI agent usage.What's next — Ari is turning his attention to newer AI tools and attack surfaces but isn't naming targets yet. You can follow his work on LinkedIn, X, and his blog at makarita.com.

Are you looking to save time, make money, and start winning with less risk? Then head to https://www.ovtlyr.com.Everyone loves the idea of “insanely cheap stocks.” But what if that mindset is exactly what's wrecking portfolios?In this breakdown, we react to a popular video claiming five beaten-down stocks are screaming buys right now. The pitch sounds tempting. Big names like Microsoft, Shopify, Salesforce, SoFi, Palo Alto Networks, and Walmart trading at steep discounts. AI fears. Market panic. Fear and Greed Index swinging wildly. It all feels dramatic.But here's the hard truth: price direction is everything.This episode dives deep into market cycles, stage four downtrends, moving averages, and why buying the dip can quietly drain your account for months. A 44 percent drop does not mean easy upside. It means a massive climb just to break even. That math matters.You'll see real chart examples and powerful comparisons that flip the narrative:✅ Why most investors buy near euphoria and sell near capitulation✅ The brutal math behind recovering from deep drawdowns✅ The difference between assets and consumables✅ Why trends, not opinions, determine profits✅ How OVTLYR helps identify direction, sentiment, and potential reversalsThere's also a live walkthrough of new OVTLYR features, including sentiment tracking, unusual news activity, and trend templates that highlight when momentum actually shifts.This isn't about mocking stock picks. It's about protecting capital. It's about understanding that profits follow price, not projections. Fundamentals can sound impressive, but if the chart is screaming downtrend, ignoring it can be costly.If you've ever felt tempted to “load the boat” on a crashing stock because it looks cheap, this conversation will challenge your thinking in a powerful way.Watch closely. Think critically. And remember, the market rewards discipline, not hope.Subscribe to OVTLYR for disciplined trading strategies that actually make sense.

In dieser Folge spreche ich mit Thomas Birke über seinen mutigen Sprung aus dem Solution Engineering hinüber ins Product Marketing – und was ihn wirklich dazu bewogen hat, nach fast zehn Jahren bei Salesforce die Seiten zu wechseln. Wir tauchen tief in seine ersten Monate in der neuen Rolle ein, sprechen über echte Herausforderungen, überraschende Unterschiede und seine Motivation, mehr Reichweite zu erzielen und Content für ein Millionenpublikum zu schaffen. Außerdem diskutieren wir offen das Spannungsfeld zwischen SE und Product Marketing, den Umgang mit Perfektionismus und wie es ist, wenn Features auf der großen Bühne angekündigt werden, bevor sie überhaupt fertig sind. Wer mit dem Gedanken spielt, seine Karriere neu auszurichten, bekommt hier ungefilterte Einblicke und wertvolle Tipps direkt aus der Praxis – natürlich in meinem gewohnt offenen Stil. Thomas bei LinkedIn - https://www.linkedin.com/in/tbirke/ ----------

AI agents fail because companies lack proper data context and change management. Ariel Kelman is President and Chief Marketing Officer at Salesforce, leading their global marketing organization and AgentForce platform development. He discusses Salesforce's trust-first approach using their Data360 customer data platform to provide AI agents with complete customer context, implementing two-way email campaigns that allow interactive customer engagement, and deploying lead qualification agents that generated $27 million in incremental pipeline by processing 200,000 previously unworked leads.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Software stocks are getting hammered. Adobe at 7 year lows, Salesforce crushed. We discuss why and then cover our takes on the recent viral piece "Something Big is Happening."Join the premium Skippy and Doogles fan club. You can also get more details about the show at skippydoogles.com, show notes on our Substack, and send comments or questions to skippydoogles@gmail.com.

AI agents fail because companies lack proper data context and change management. Ariel Kelman is President and Chief Marketing Officer at Salesforce, leading their global marketing organization and AgentForce platform development. He discusses Salesforce's trust-first approach using their Data360 customer data platform to provide AI agents with complete customer context, implementing two-way email campaigns that allow interactive customer engagement, and deploying lead qualification agents that generated $27 million in incremental pipeline by processing 200,000 previously unworked leads.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In today's Cloud Wars Minute, I analyze the leadership shift at Workday and what it means in the age of agentic AI.Highlights00:00 — I want to talk about a change at the top of Workday. And I want to point out somebody who's been a real superstar in this business and that's Workday co-founder, former co-CEO, former CEO, chairman, executive chairman, resigned as CEO, now back in as CEO, Aneel Bhusri.01:13 — He was going to be the person that ran all the business, the operations. And Aneel said, "I can go back to what I truly love," which is developing products and strategy. Carl Eschenbach left about a week ago. The board asked Bhusri to step back in as CEO, and he's done that. So there's no question that Aneel Bhusri's first love is products and strategy.02:24 — He said, “Now, with Carl Eschenbach coming in a couple of years ago, now I can go do this stuff I really love around products and strategy.” It is this thing about never being trained to do it. He's on the board of directors at General Motors, a highly accomplished executive in a lot of ways. Aneel certainly doesn't need the money.03:13 — How does a company like Workday or Oracle or SAP or Salesforce balance those two things, the enterprise applications that brought them here, and the agentic AI that has to take them forward? Workday, several months ago, announced Workday ERP. From the outside, you've got SAP and Oracle always aggressively trying to go after Workday customers.03:59 — I want to mention about Aneel, the way he manages. He said, “I've sort of become”— this is when machine learning, ML, was really becoming hot — “I became the Pied Piper of Workday. I was just going around to all the different developers and engineering teams and just asking developers and engineering teams over and over and over again, what are you doing with ML?"04:56 — And now they've got two great president-level executives at Workday. Rob Enslin and Gerrit Kazmaier. I think it's very likely that about a year from now, Workday will announce that Bhusri is going to become co-CEO and elevate one of those two, Enslin or Kazmaier, to the co-CEO role with him. Visit Cloud Wars for more.

What happens to our creativity when risk-taking is discouraged and perfection becomes the goal? In this episode of The Quiet And Strong Podcast, host David Hall sits down with innovation and culture strategist Melissa Dinwiddie to explore how we can reclaim our natural creativity and create space for innovation—no matter where we are on the introvert/extrovert spectrum.Listeners will discover why creativity often feels stifled by traditional systems, and what leaders and teams can do to reignite their creative spark. Melissa Dinwiddie shares her personal journey from doubting her creativity to becoming a professional artist and innovation coach. Whether you're an introvert wanting to reconnect with your creativity or a leader seeking practical tools for building more innovative, empowered teams, this conversation offers both inspiration and actionable steps. Tune in to learn how to give yourself—and those you work with—permission to play, take risks, learn faster, and continually grow.Get ready to embrace your creative side… and be strong.Episode Link: QuietandStrong.com/263Melissa Dinwiddie is an innovation and culture strategist who helps analytical thinkers tap into their creativity to solve impossible problems.A Juilliard-trained dancer, professional artist for 15 years, and performing jazz singer-songwriter turned keynote speaker, she's the author of The Creative Sandbox Way™ and Innovation at Work, and creator of the Create the Impossible™ framework—a three-step approach to building the mindsets that drive innovation: Play Hard, Make Crap, and Learn Fast.Her experiences designing and facilitating programs for teams at organizations like Google, Meta, and Salesforce informed the development of her framework, which blends art, play, and communication to help leaders build creative confidence, collaboration, and resilience.Connect with Melissa: Website | LinkedIn | Instagram | Send a textSupport the show- - -Contact the Host of the Quiet and Strong Podcast:David Hall Author, Speaker, Educator, Podcaster quietandstrong.comGobio.link/quietandstrongdavid [at] quietandstrong.com NOTE: This post may contain affiliate links. I may earn a commission if you make a purchase, at no extra cost to you. Take the FREE Personality Assessment: Typefinder Personality Assessment Follow David on your favorite social platform:Twitter | Facebook | Instagram | LinkedIn | Youtube Get David's book:Minding Your Time: Time Management, Productivity, and Success, Especially for Introverts Get Quiet & Strong Merchandise

Let us know how we're doing - text us feedback or thoughts on episode contentPaul sits with Tim Christophersen, VP of Climate Action at Salesforce and previously Head of Nature for Climate Branch at UNEP. Tim's recent book, Generation Restoration - How to Fix Our Relationship Crisis with Mother Nature, digs deep into the broken bond that we have with our natural world. Paul and Tim discuss not only how we got here in the first place, but what the public and private sector needs to do to help us replenish the natural infrastructure of this planet.For more research:Generation Restoration - How to Fix Our Relationship Crisis with Mother Nature - Tim ChristophersenFuture Forests Alliance - World Economic ForumFollow Paul on LinkedIn.

Emmanuel et Guillaume discutent de divers sujets liés à la programmation, notamment les systèmes de fichiers en Java, le Data Oriented Programming, les défis de JPA avec Kotlin, et les nouvelles fonctionnalités de Quarkus. Ils explorent également des sujets un peu fous comme la création de datacenters dans l'espace. Pas mal d'architecture aussi. Enregistré le 13 février 2026 Téléchargement de l'épisode LesCastCodeurs-Episode-337.mp3 ou en vidéo sur YouTube. News Langages Comment implémenter un file system en Java https://foojay.io/today/bootstrapping-a-java-file-system/ Créer un système de fichiers Java personnalisé avec NIO.2 pour des usages variés (VCS, archives, systèmes distants). Évolution Java: java.io.File (1.0) -> NIO (1.4) -> NIO.2 (1.7) pour personnalisation via FileSystem. Recommander conception préalable; API Java est orientée POSIX. Composants clés à considérer: Conception URI (scheme unique, chemin). Gestion de l'arborescence (BD, métadonnées, efficacité). Stockage binaire (emplacement, chiffrement, versions). Minimum pour démarrer (4 composants): Implémenter Path (représente fichier/répertoire). Étendre FileSystem (instance du système). Étendre FileSystemProvider (moteur, enregistré par scheme). Enregistrer FileSystemProvider via META-INF/services. Étapes suivantes: Couche BD (arborescence), opérations répertoire/fichier de base, stockage, tests. Processus long et exigeant, mais gratifiant.   Un article de brian goetz sur le futur du data oriented programming en Java https://openjdk.org/projects/amber/design-notes/beyond-records Le projet Amber de Java introduit les "carrier classes", une évolution des records qui permet plus de flexibilité tout en gardant les avantages du pattern matching et de la reconstruction Les records imposent des contraintes strictes (immutabilité, représentation exacte de l'état) qui limitent leur usage pour des classes avec état muable ou dérivé Les carrier classes permettent de déclarer une state description complète et canonique sans imposer que la représentation interne corresponde exactement à l'API publique Le modificateur "component" sur les champs permet au compilateur de dériver automatiquement les accesseurs pour les composants alignés avec la state description Les compact constructors sont généralisés aux carrier classes, générant automatiquement l'initialisation des component fields Les carrier classes supportent la déconstruction via pattern matching comme les records, rendant possible leur usage dans les instanceof et switch Les carrier interfaces permettent de définir une state description sur une interface, obligeant les implémentations à fournir les accesseurs correspondants L'extension entre carrier classes est possible, avec dérivation automatique des appels super() quand les composants parent sont subsumés par l'enfant Les records deviennent un cas particulier de carrier classes avec des contraintes supplémentaires (final, extends Record, component fields privés et finaux obligatoires) L'évolution compatible des records est améliorée en permettant l'ajout de composants en fin de liste et la déconstruction partielle par préfixe Comment éviter les pièges courants avec JPA et Kotlin - https://blog.jetbrains.com/idea/2026/01/how-to-avoid-common-pitfalls-with-jpa-and-kotlin/ JPA est une spécification Java pour la persistance objet-relationnel, mais son utilisation avec Kotlin présente des incompatibilités dues aux différences de conception des deux langages Les classes Kotlin sont finales par défaut, ce qui empêche la création de proxies par JPA pour le lazy loading et les opérations transactionnelles Le plugin kotlin-jpa génère automatiquement des constructeurs sans argument et rend les classes open, résolvant les problèmes de compatibilité Les data classes Kotlin ne sont pas adaptées aux entités JPA car elles génèrent equals/hashCode basés sur tous les champs, causant des problèmes avec les relations lazy L'utilisation de lateinit var pour les relations peut provoquer des exceptions si on accède aux propriétés avant leur initialisation par JPA Les types non-nullables Kotlin peuvent entrer en conflit avec le comportement de JPA qui initialise les entités avec des valeurs null temporaires Le backing field direct dans les getters/setters personnalisés peut contourner la logique de JPA et casser le lazy loading IntelliJ IDEA 2024.3 introduit des inspections pour détecter automatiquement ces problèmes et propose des quick-fixes L'IDE détecte les entités finales, les data classes inappropriées, les problèmes de constructeurs et l'usage incorrect de lateinit Ces nouvelles fonctionnalités aident les développeurs à éviter les bugs subtils liés à l'utilisation de JPA avec Kotlin Librairies Guide sur MapStruct @IterableMapping - https://www.baeldung.com/java-mapstruct-iterablemapping MapStruct est une bibliothèque Java pour générer automatiquement des mappers entre beans, l'annotation @IterableMapping permet de configurer finement le mapping de collections L'attribut dateFormat permet de formater automatiquement des dates lors du mapping de listes sans écrire de boucle manuelle L'attribut qualifiedByName permet de spécifier quelle méthode custom appliquer sur chaque élément de la collection à mapper Exemple d'usage : filtrer des données sensibles comme des mots de passe en mappant uniquement certains champs via une méthode dédiée L'attribut nullValueMappingStrategy permet de contrôler le comportement quand la collection source est null (retourner null ou une collection vide) L'annotation fonctionne pour tous types de collections Java (List, Set, etc.) et génère le code de boucle nécessaire Possibilité d'appliquer des formats numériques avec numberFormat pour convertir des nombres en chaînes avec un format spécifique MapStruct génère l'implémentation complète du mapper au moment de la compilation, éliminant le code boilerplate L'annotation peut être combinée avec @Named pour créer des méthodes de mapping réutilisables et nommées Le mapping des collections supporte les conversions de types complexes au-delà des simples conversions de types primitifs Accès aux fichiers Samba depuis Java avec JCIFS - https://www.baeldung.com/java-samba-jcifs JCIFS est une bibliothèque Java permettant d'accéder aux partages Samba/SMB sans monter de lecteur réseau, supportant le protocole SMB3 on pense aux galériens qui doivent se connecter aux systèmes dit legacy La configuration nécessite un contexte CIFS (CIFSContext) et des objets SmbFile pour représenter les ressources distantes L'authentification se fait via NtlmPasswordAuthenticator avec domaine, nom d'utilisateur et mot de passe La bibliothèque permet de lister les fichiers et dossiers avec listFiles() et vérifier leurs propriétés (taille, date de modification) Création de fichiers avec createNewFile() et de dossiers avec mkdir() ou mkdirs() pour créer toute une arborescence Suppression via delete() qui peut parcourir et supprimer récursivement des arborescences entières Copie de fichiers entre partages Samba avec copyTo(), mais impossibilité de copier depuis le système de fichiers local Pour copier depuis le système local, utilisation des streams SmbFileInputStream et SmbFileOutputStream Les opérations peuvent cibler différents serveurs Samba et différents partages (anonymes ou protégés par mot de passe) La bibliothèque s'intègre dans des blocs try-with-resources pour une gestion automatique des ressources Quarkus 3.31 - Support complet Java 25, nouveau packaging Maven et Panache Next - https://quarkus.io/blog/quarkus-3-31-released/ Support complet de Java 25 avec images runtime et native Nouveau packaging Maven de type quarkus avec lifecycle optimisé pour des builds plus rapides voici un article complet pour plus de detail https://quarkus.io/blog/building-large-applications/ Introduction de Panache Next, nouvelle génération avec meilleure expérience développeur et API unifiée ORM/Reactive Mise à jour vers Hibernate ORM 7.2, Reactive 3.2, Search 8.2 Support de Hibernate Spatial pour les données géospatiales Passage à Testcontainers 2 et JUnit 6 Annotations de sécurité supportées sur les repositories Jakarta Data Chiffrement des tokens OIDC pour les implémentations custom TokenStateManager Support OAuth 2.0 Pushed Authorization Requests dans l'extension OIDC Maven 3.9 maintenant requis minimum pour les projets Quarkus A2A Java SDK 1.0.0.Alpha1 - Alignement avec la spécification 1.0 du protocole Agent2Agent - https://quarkus.io/blog/a2a-java-sdk-1-0-0-alpha1/ Le SDK Java A2A implémente le protocole Agent2Agent qui permet la communication standardisée entre agents IA pour découvrir des capacités, déléguer des tâches et collaborer Passage à la version 1.0 de la spécification marque la transition d'expérimental à production-ready avec des changements cassants assumés Modernisation complète du module spec avec des Java records partout remplaçant le mix précédent de classes et records pour plus de cohérence Adoption de Protocol Buffers comme source de vérité avec des mappers MapStruct pour la conversion et Gson pour JSON-RPC Les builders utilisent maintenant des méthodes factory statiques au lieu de constructeurs publics suivant les best practices Java modernes Introduction de trois BOMs Maven pour simplifier la gestion des dépendances du SDK core, des extensions et des implémentations de référence Quarkus AgentCard évolue avec une liste supportedInterfaces remplaçant url et preferredTransport pour plus de flexibilité dans la déclaration des protocoles Support de la pagination ajouté pour ListTasks et les endpoints de configuration des notifications push avec des wrappers Result appropriés Interface A2AHttpClient pluggable permettant des implémentations HTTP personnalisées avec une implémentation Vert.x fournie Travail continu vers la conformité complète avec le TCK 1.0 en cours de développement parallèlement à la finalisation de la spécification Pourquoi Quarkus finit par "cliquer" : les 10 questions que se posent les développeurs Java - https://www.the-main-thread.com/p/quarkus-java-developers-top-questions-2025 un article qui revele et repond aux questions des gens qui ont utilisé Quarkus depuis 4-6 mois, les non noob questions Quarkus est un framework Java moderne optimisé pour le cloud qui propose des temps de démarrage ultra-rapides et une empreinte mémoire réduite Pourquoi Quarkus démarre si vite ? Le framework effectue le travail lourd au moment du build (scanning, indexation, génération de bytecode) plutôt qu'au runtime Quand utiliser le mode réactif plutôt qu'impératif ? Le réactif est pertinent pour les workloads avec haute concurrence et dominance I/O, l'impératif reste plus simple dans les autres cas Quelle est la différence entre Dev Services et Testcontainers ? Dev Services utilise Testcontainers en gérant automatiquement le cycle de vie, les ports et la configuration sans cérémonie Comment la DI de Quarkus diffère de Spring ? CDI est un standard basé sur la sécurité des types et la découverte au build-time, différent de l'approche framework de Spring Comment gérer la configuration entre environnements ? Quarkus permet de scaler depuis le développement local jusqu'à Kubernetes avec des profils, fichiers multiples et configuration externe Comment tester correctement les applications Quarkus ? @QuarkusTest démarre l'application une fois pour toute la suite de tests, changeant le modèle mental par rapport à Spring Boot Que fait vraiment Panache en coulisses ? Panache est du JPA avec des opinions fortes et des défauts propres, enveloppant Hibernate avec un style Active Record Doit-on utiliser les images natives et quand ? Les images natives brillent pour le serverless et l'edge grâce au démarrage rapide et la faible empreinte mémoire, mais tous les apps n'en bénéficient pas Comment Quarkus s'intègre avec Kubernetes ? Le framework génère automatiquement les ressources Kubernetes, gère les health checks et métriques comme s'il était nativement conçu pour cet écosystème Comment intégrer l'IA dans une application Quarkus ? LangChain4j permet d'ajouter embeddings, retrieval, guardrails et observabilité directement en Java sans passer par Python Infrastructure Les alternatives à MinIO https://rmoff.net/2026/01/14/alternatives-to-minio-for-single-node-local-s3/ MinIO a abandonné le support single-node fin 2025 pour des raisons commerciales, cassant de nombreuses démos et pipelines CI/CD qui l'utilisaient pour émuler S3 localement L'auteur cherche un remplacement simple avec image Docker, compatibilité S3, licence open source, déploiement mono-nœud facile et communauté active S3Proxy est très léger et facile à configurer, semble être l'option la plus simple mais repose sur un seul contributeur RustFS est facile à utiliser et inclut une GUI, mais c'est un projet très récent en version alpha avec une faille de sécurité majeure récente SeaweedFS existe depuis 2012 avec support S3 depuis 2018, relativement facile à configurer et dispose d'une interface web basique Zenko CloudServer remplace facilement MinIO mais la documentation et le branding (cloudserver/zenko/scality) peuvent prêter à confusion Garage nécessite une configuration complexe avec fichier TOML et conteneur d'initialisation séparé, pas un simple remplacement drop-in Apache Ozone requiert au minimum quatre nœuds pour fonctionner, beaucoup trop lourd pour un usage local simple L'auteur recommande SeaweedFS et S3Proxy comme remplaçants viables, RustFS en maybe, et élimine Garage et Ozone pour leur complexité Garage a une histoire tres associative, il vient du collectif https://deuxfleurs.fr/ qui offre un cloud distribué sans datacenter C'est certainement pas une bonne idée, les datacenters dans l'espace https://taranis.ie/datacenters-in-space-are-a-terrible-horrible-no-good-idea/ Avis d'expert (ex-NASA/Google, Dr en électronique spatiale) : Centres de données spatiaux, une "terrible" idée. Incompatibilité fondamentale : L'électronique (surtout IA/GPU) est inadaptée à l'environnement spatial. Énergie : Accès limité. Le solaire (type ISS) est insuffisant pour l'échelle de l'IA. Le nucléaire (RTG) est trop faible. Refroidissement : L'espace n'est pas "froid" ; absence de convection. Nécessite des radiateurs gigantesques (ex: 531m² pour 200kW). Radiations : Provoque erreurs (SEU, SEL) et dommages. Les GPU sont très vulnérables. Blindage lourd et inefficace. Les puces "durcies" sont très lentes. Communications : Bande passante très limitée (1Gbps radio vs 100Gbps terrestre). Le laser est tributaire des conditions atmosphériques. Conclusion : Projet extrêmement difficile, coûteux et aux performances médiocres. Data et Intelligence Artificielle Guillaume a développé un serveur MCP pour arXiv (le site de publication de papiers de recherche) en Java avec le framework Quarkus https://glaforge.dev/posts/2026/01/18/implementing-an-arxiv-mcp-server-with-quarkus-in-java/ Implémentation d'un serveur MCP (Model Context Protocol) arXiv en Java avec Quarkus. Objectif : Accéder aux publications arXiv et illustrer les fonctionnalités moins connues du protocole MCP. Mise en œuvre : Utilisation du framework Quarkus (Java) et son support MCP étendu. Assistance par Antigravity (IDE agentique) pour le développement et l'intégration de l'API arXiv. Interaction avec l'API arXiv : requêtes HTTP, format XML Atom pour les résultats, parser XML Jackson. Fonctionnalités MCP exposées : Outils (@Tool) : Recherche de publications (search_papers). Ressources (@Resource, @ResourceTemplate) : Taxonomie des catégories arXiv, métadonnées des articles (via un template d'URI). Prompts (@Prompt) : Exemples pour résumer des articles ou construire des requêtes de recherche. Configuration : Le serveur peut fonctionner en STDIO (local) ou via HTTP Streamable (local ou distant), avec une configuration simple dans des clients comme Gemini CLI. Conclusion : Quarkus simplifie la création de serveurs MCP riches en fonctionnalités, rendant les données et services "prêts pour l'IA" avec l'aide d'outils d'IA comme Antigravity. Anthropic ne mettra pas de pub dans Claude https://www.anthropic.com/news/claude-is-a-space-to-think c'est en reaction au plan non public d'OpenAi de mettre de la pub pour pousser les gens au mode payant OpenAI a besoin de cash et est probablement le plus utilisé pour gratuit au monde Anthropic annonce que Claude restera sans publicité pour préserver son rôle d'assistant conversationnel dédié au travail et à la réflexion approfondie. Les conversations avec Claude sont souvent sensibles, personnelles ou impliquent des tâches complexes d'ingénierie logicielle où les publicités seraient inappropriées. L'analyse des conversations montre qu'une part significative aborde des sujets délicats similaires à ceux évoqués avec un conseiller de confiance. Un modèle publicitaire créerait des incitations contradictoires avec le principe fondamental d'être "genuinely helpful" inscrit dans la Constitution de Claude. Les publicités introduiraient un conflit d'intérêt potentiel où les recommandations pourraient être influencées par des motivations commerciales plutôt que par l'intérêt de l'utilisateur. Le modèle économique d'Anthropic repose sur les contrats entreprise et les abonnements payants, permettant de réinvestir dans l'amélioration de Claude. Anthropic maintient l'accès gratuit avec des modèles de pointe et propose des tarifs réduits pour les ONG et l'éducation dans plus de 60 pays. Le commerce "agentique" sera supporté mais uniquement à l'initiative de l'utilisateur, jamais des annonceurs, pour préserver la confiance. Les intégrations tierces comme Figma, Asana ou Canva continueront d'être développées en gardant l'utilisateur aux commandes. Anthropic compare Claude à un cahier ou un tableau blanc : des espaces de pensée purs, sans publicité. Infinispan 16.1 est sorti https://infinispan.org/blog/2026/02/04/infinispan-16-1 déjà le nom de la release mérite une mention Le memory bounded par cache et par ensemble de cache s est pas facile à faire en Java Une nouvelle api OpenAPI AOT caché dans les images container Un serveur MCP local juste avec un fichier Java ? C'est possible avec LangChain4j et JBang https://glaforge.dev/posts/2026/02/11/zero-boilerplate-java-stdio-mcp-servers-with-langchain4j-and-jbang/ Création rapide de serveurs MCP Java sans boilerplate. MCP (Model Context Protocol): standard pour connecter les LLM à des outils et données. Le tutoriel répond au manque d'options simples pour les développeurs Java, face à une prédominance de Python/TypeScript dans l'écosystème MCP. La solution utilise: LangChain4j: qui intègre un nouveau module serveur MCP pour le protocole STDIO. JBang: permet d'exécuter des fichiers Java comme des scripts, éliminant les fichiers de build (pom.xml, Gradle). Implémentation: se fait via un seul fichier .java. JBang gère automatiquement les dépendances (//DEPS). L'annotation @Tool de LangChain4j expose les méthodes Java aux LLM. StdioMcpServerTransport gère la communication JSON-RPC via l'entrée/sortie standard (STDIO). Point crucial: Les logs doivent impérativement être redirigés vers System.err pour éviter de corrompre System.out, qui est réservé à la communication MCP (messages JSON-RPC). Facilite l'intégration locale avec des outils comme Gemini CLI, Claude Code, etc. Reciprocal Rank Fusion : un algorithme utile et souvent utilisé pour faire de la recherche hybride, pour mélanger du RAG et des recherches par mots-clé https://glaforge.dev/posts/2026/02/10/advanced-rag-understanding-reciprocal-rank-fusion-in-hybrid-search/ RAG : Qualité LLM dépend de la récupération. Recherche Hybride : Combiner vectoriel et mots-clés (BM25) est optimal. Défi : Fusionner des scores d'échelles différentes. Solution : Reciprocal Rank Fusion (RRF). RRF : Algorithme robuste qui fusionne des listes de résultats en se basant uniquement sur le rang des documents, ignorant les scores. Avantages RRF : Pas de normalisation de scores, scalable, excellente première étape de réorganisation. Architecture RAG fréquente : RRF (large sélection) + Cross-Encoder / modèle de reranking (précision fine). RAG-Fusion : Utilise un LLM pour générer plusieurs variantes de requête, puis RRF agrège tous les résultats pour renforcer le consensus et réduire les hallucinations. Implémentation : LangChain4j utilise RRF par défaut pour agréger les résultats de plusieurs retrievers. Les dernières fonctionnalités de Gemini et Nano Banana supportées dans LangChain4j https://glaforge.dev/posts/2026/02/06/latest-gemini-and-nano-banana-enhancements-in-langchain4j/ Nouveaux modèles d'images Nano Banana (Gemini 2.5/3.0) pour génération et édition (jusqu'à 4K). "Grounding" via Google Search (pour images et texte) et Google Maps (localisation, Gemini 2.5). Outil de contexte URL (Gemini 3.0) pour lecture directe de pages web. Agents multimodaux (AiServices) capables de générer des images. Configuration de la réflexion (profondeur Chain-of-Thought) pour Gemini 3.0. Métadonnées enrichies : usage des tokens et détails des sources de "grounding". Comment configurer Gemini CLI comment agent de code dans IntelliJ grâce au protocole ACP https://glaforge.dev/posts/2026/02/01/how-to-integrate-gemini-cli-with-intellij-idea-using-acp/ But : Intégrer Gemini CLI à IntelliJ IDEA via l'Agent Client Protocol (ACP). Prérequis : IntelliJ IDEA 2025.3+, Node.js (v20+), Gemini CLI. Étapes : Installer Gemini CLI (npm install -g @google/gemini-cli). Localiser l'exécutable gemini. Configurer ~/.jetbrains/acp.json (chemin exécutable, --experimental-acp, use_idea_mcp: true). Redémarrer IDEA, sélectionner "Gemini CLI" dans l'Assistant IA. Usage : Gemini interagit avec le code et exécute des commandes (contexte projet). Important : S'assurer du flag --experimental-acp dans la configuration. Outillage PipeNet, une alternative (open source aussi) à LocalTunnel, mais un plus évoluée https://pipenet.dev/ pipenet: Alternative open-source et moderne à localtunnel (client + serveur). Usages: Développement local (partage, webhooks), intégration SDK, auto-hébergement sécurisé. Fonctionnalités: Client (expose ports locaux, sous-domaines), Serveur (déploiement, domaines personnalisés, optimisé cloud mono-port). Avantages vs localtunnel: Déploiement cloud sur un seul port, support multi-domaines, TypeScript/ESM, maintenance active. Protocoles: HTTP/S, WebSocket, SSE, HTTP Streaming. Intégration: CLI ou SDK JavaScript. JSON-IO — une librairie comme Jackson ou GSON, supportant JSON5, TOON, et qui pourrait être utile pour l'utilisation du "structured output" des LLMs quand ils ne produisent pas du JSON parfait https://github.com/jdereg/json-io json-io : Librairie Java pour la sérialisation et désérialisation JSON/TOON. Gère les graphes d'objets complexes, les références cycliques et les types polymorphes. Support complet JSON5 (lecture et écriture), y compris des fonctionnalités non prises en charge par Jackson/Gson. Format TOON : Notation orientée token, optimisée pour les LLM, réduisant l'utilisation de tokens de 40 à 50% par rapport au JSON. Légère : Aucune dépendance externe (sauf java-util), taille de JAR réduite (~330K). Compatible JDK 1.8 à 24, ainsi qu'avec les environnements JPMS et OSGi. Deux modes de conversion : vers des objets Java typés (toJava()) ou vers des Map (toMaps()). Options de configuration étendues via ReadOptionsBuilder et WriteOptionsBuilder. Optimisée pour les déploiements cloud natifs et les architectures de microservices. Utiliser mailpit et testcontainer pour tester vos envois d'emails https://foojay.io/today/testing-emails-with-testcontainers-and-mailpit/ l'article montre via SpringBoot et sans. Et voici l'extension Quarkus https://quarkus.io/extensions/io.quarkiverse.mailpit/quarkus-mailpit/?tab=docs Tester l'envoi d'emails en développement est complexe car on ne peut pas utiliser de vrais serveurs SMTP Mailpit est un serveur SMTP de test qui capture les emails et propose une interface web pour les consulter Testcontainers permet de démarrer Mailpit dans un conteneur Docker pour les tests d'intégration L'article montre comment configurer une application SpringBoot pour envoyer des emails via JavaMail Un module Testcontainers dédié à Mailpit facilite son intégration dans les tests Le conteneur Mailpit expose un port SMTP (1025) et une API HTTP (8025) pour vérifier les emails reçus Les tests peuvent interroger l'API HTTP de Mailpit pour valider le contenu des emails envoyés Cette approche évite d'utiliser des mocks et teste réellement l'envoi d'emails Mailpit peut aussi servir en développement local pour visualiser les emails sans les envoyer réellement La solution fonctionne avec n'importe quel framework Java supportant JavaMail Architecture Comment scaler un système de 0 à 10 millions d'utilisateurs https://blog.algomaster.io/p/scaling-a-system-from-0-to-10-million-users Philosophie : Scalabilité incrémentale, résoudre les goulots d'étranglement sans sur-ingénierie. 0-100 utilisateurs : Serveur unique (app, DB, jobs). 100-1K : Séparer app et DB (services gérés, pooling). 1K-10K : Équilibreur de charge, multi-serveurs d'app (stateless via sessions partagées). 10K-100K : Caching, réplicas de lecture DB, CDN (réduire charge DB). 100K-500K : Auto-scaling, applications stateless (authentification JWT). 500K-10M : Sharding DB, microservices, files de messages (traitement asynchrone). 10M+ : Déploiement multi-régions, CQRS, persistance polyglotte, infra personnalisée. Principes clés : Simplicité, mesure, stateless essentiel, cache/asynchrone, sharding prudent, compromis (CAP), coût de la complexité. Patterns d'Architecture 2026 - Du Hype à la Réalité du Terrain (Part 1/2) - https://blog.ippon.fr/2026/01/30/patterns-darchitecture-2026-part-1/ L'article présente quatre patterns d'architecture logicielle pour répondre aux enjeux de scalabilité, résilience et agilité business dans les systèmes modernes Il présentent leurs raisons et leurs pièges Un bon rappel L'Event-Driven Architecture permet une communication asynchrone entre systèmes via des événements publiés et consommés, évitant le couplage direct Les bénéfices de l'EDA incluent la scalabilité indépendante des composants, la résilience face aux pannes et l'ajout facile de nouveaux cas d'usage Le pattern API-First associé à un API Gateway centralise la sécurité, le routage et l'observabilité des APIs avec un catalogue unifié Le Backend for Frontend crée des APIs spécifiques par canal (mobile, web, partenaires) pour optimiser l'expérience utilisateur CQRS sépare les modèles de lecture et d'écriture avec des bases optimisées distinctes, tandis que l'Event Sourcing stocke tous les événements plutôt que l'état actuel Le Saga Pattern gère les transactions distribuées via orchestration centralisée ou chorégraphie événementielle pour coordonner plusieurs microservices Les pièges courants incluent l'explosion d'événements granulaires, la complexité du debugging distribué, et la mauvaise gestion de la cohérence finale Les technologies phares sont Kafka pour l'event streaming, Kong pour l'API Gateway, EventStoreDB pour l'Event Sourcing et Temporal pour les Sagas Ces patterns nécessitent une maturité technique et ne sont pas adaptés aux applications CRUD simples ou aux équipes junior Patterns d'architecture 2026 : du hype à la réalité terrain part. 2 - https://blog.ippon.fr/2026/02/04/patterns-darchitecture-2026-part-2/ Deuxième partie d'un guide pratique sur les patterns d'architecture logicielle et système éprouvés pour moderniser et structurer les applications en 2026 Strangler Fig permet de migrer progressivement un système legacy en l'enveloppant petit à petit plutôt que de tout réécrire d'un coup (70% d'échec pour les big bang) Anti-Corruption Layer protège votre nouveau domaine métier des modèles externes et legacy en créant une couche de traduction entre les systèmes Service Mesh gère automatiquement la communication inter-services dans les architectures microservices (sécurité mTLS, observabilité, résilience) Architecture Hexagonale sépare le coeur métier des détails techniques via des ports et adaptateurs pour améliorer la testabilité et l'évolutivité Chaque pattern est illustré par un cas client concret avec résultats mesurables et liste des pièges à éviter lors de l'implémentation Les technologies 2026 mentionnées incluent Istio, Linkerd pour service mesh, LaunchDarkly pour feature flags, NGINX et Kong pour API gateway Tableau comparatif final aide à choisir le bon pattern selon la complexité, le scope et le use case spécifique du projet L'article insiste sur une approche pragmatique : ne pas utiliser un pattern juste parce qu'il est moderne mais parce qu'il résout un problème réel Pour les systèmes simples type CRUD ou avec peu de services, ces patterns peuvent introduire une complexité inutile qu'il faut savoir éviter Méthodologies Le rêve récurrent de remplacer voire supprimer les développeurs https://www.caimito.net/en/blog/2025/12/07/the-recurring-dream-of-replacing-developers.html Depuis 1969, chaque décennie voit une tentative de réduire le besoin de développeurs (de COBOL, UML, visual builders… à IA). Motivation : frustration des dirigeants face aux délais et coûts de développement. La complexité logicielle est intrinsèque et intellectuelle, non pas une question d'outils. Chaque vague technologique apporte de la valeur mais ne supprime pas l'expertise humaine. L'IA assiste les développeurs, améliore l'efficacité, mais ne remplace ni le jugement ni la gestion de la complexité. La demande de logiciels excède l'offre car la contrainte majeure est la réflexion nécessaire pour gérer cette complexité. Pour les dirigeants : les outils rendent-ils nos développeurs plus efficaces sur les problèmes complexes et réduisent-ils les tâches répétitives ? Le "rêve" de remplacer les développeurs, irréalisable, est un moteur d'innovation créant des outils précieux. Comment creuser des sujets à l'ère de l'IA générative. Quid du partage et la curation de ces recherches ? https://glaforge.dev/posts/2026/02/04/researching-topics-in-the-age-of-ai-rock-solid-webhooks-case-study/ Recherche initiale de l'auteur sur les webhooks en 2019, processus long et manuel. L'IA (Deep Research, Gemini, NotebookLM) facilite désormais la recherche approfondie, l'exploration de sujets et le partage des résultats. L'IA a identifié et validé des pratiques clés pour des déploiements de webhooks résilients, en grande partie les mêmes que celles trouvées précédemment par l'auteur. Génération d'artefacts par l'IA : rapport détaillé, résumé concis, illustration sketchnote, et même une présentation (slide deck). Guillaume s'interroge sur le partage public de ces rapports de recherche générés par l'IA, tout en souhaitant éviter le "AI Slop". Loi, société et organisation Le logiciel menacé par le vibe coding https://www.techbuzz.ai/articles/we-built-a-monday-com-clone-in-under-an-hour-with-ai Deux journalistes de CNBC sans expérience de code ont créé un clone fonctionnel de Monday.com en moins de 60 minutes pour 5 à 15 dollars. L'expérience valide les craintes des investisseurs qui ont provoqué une baisse de 30% des actions des entreprises SaaS. L'IA a non seulement reproduit les fonctionnalités de base mais a aussi recherché Monday.com de manière autonome pour identifier et recréer ses fonctionnalités clés. Cette technique appelée "vibe-coding" permet aux non-développeurs de construire des applications via des instructions en anglais courant. Les entreprises les plus vulnérables sont celles offrant des outils "qui se posent sur le travail" comme Atlassian, Adobe, HubSpot, Zendesk et Smartsheet. Les entreprises de cybersécurité comme CrowdStrike et Palo Alto sont considérées plus protégées grâce aux effets de réseau et aux barrières réglementaires. Les systèmes d'enregistrement comme Salesforce restent plus difficiles à répliquer en raison de leur profondeur d'intégration et de données d'entreprise. Le coût de 5 à 15 dollars par construction permet aux entreprises de prototyper plusieurs solutions personnalisées pour moins cher qu'une seule licence Monday.com. L'expérience soulève des questions sur la pérennité du marché de 5 milliards de dollars des outils de gestion de projet face à l'IA générative. Conférences En complément de l'agenda des conférences de Aurélie Vache, il y a également le site https://javaconferences.org/ (fait par Brian Vermeer) avec toutes les conférences Java à venir ! La liste des conférences provenant de Developers Conferences Agenda/List par Aurélie Vache et contributeurs : 12-13 février 2026 : Touraine Tech #26 - Tours (France) 12-13 février 2026 : World Artificial Intelligence Cannes Festival - Cannes (France) 19 février 2026 : ObservabilityCON on the Road - Paris (France) 6 mars 2026 : WordCamp Nice 2026 - Nice (France) 18 mars 2026 : Jupyter Workshops: AI in Jupyter: Building Extensible AI Capabilities for Interactive Computing - Saint-Maur-des-Fossés (France) 18-19 mars 2026 : Agile Niort 2026 - Niort (France) 20 mars 2026 : Atlantique Day 2026 - Nantes (France) 26 mars 2026 : Data Days Lille - Lille (France) 26-27 mars 2026 : SymfonyLive Paris 2026 - Paris (France) 26-27 mars 2026 : REACT PARIS - Paris (France) 27-29 mars 2026 : Shift - Nantes (France) 31 mars 2026 : ParisTestConf - Paris (France) 31 mars 2026-1 avril 2026 : FlowCon France 2026 - Paris (France) 1 avril 2026 : AWS Summit Paris - Paris (France) 2 avril 2026 : Pragma Cannes 2026 - Cannes (France) 2-3 avril 2026 : Xen Spring Meetup 2026 - Grenoble (France) 7 avril 2026 : PyTorch Conference Europe - Paris (France) 9-10 avril 2026 : Android Makers by droidcon 2026 - Paris (France) 9-11 avril 2026 : Drupalcamp Grenoble 2026 - Grenoble (France) 16-17 avril 2026 : MiXiT 2026 - Lyon (France) 17-18 avril 2026 : Faiseuses du Web 5 - Dinan (France) 22-24 avril 2026 : Devoxx France 2026 - Paris (France) 23-25 avril 2026 : Devoxx Greece - Athens (Greece) 6-7 mai 2026 : Devoxx UK 2026 - London (UK) 12 mai 2026 : Lead Innovation Day - Leadership Edition - Paris (France) 19 mai 2026 : La Product Conf Paris 2026 - Paris (France) 21-22 mai 2026 : Flupa UX Days 2026 - Paris (France) 22 mai 2026 : AFUP Day 2026 Lille - Lille (France) 22 mai 2026 : AFUP Day 2026 Paris - Paris (France) 22 mai 2026 : AFUP Day 2026 Bordeaux - Bordeaux (France) 22 mai 2026 : AFUP Day 2026 Lyon - Lyon (France) 28 mai 2026 : DevCon 27 : I.A. & Vibe Coding - Paris (France) 28 mai 2026 : Cloud Toulouse 2026 - Toulouse (France) 29 mai 2026 : NG Baguette Conf 2026 - Paris (France) 29 mai 2026 : Agile Tour Strasbourg 2026 - Strasbourg (France) 2-3 juin 2026 : Agile Tour Rennes 2026 - Rennes (France) 2-3 juin 2026 : OW2Con - Paris-Châtillon (France) 3 juin 2026 : IA–NA - La Rochelle (France) 5 juin 2026 : TechReady - Nantes (France) 5 juin 2026 : Fork it! - Rouen - Rouen (France) 6 juin 2026 : Polycloud - Montpellier (France) 9 juin 2026 : JFTL - Montrouge (France) 9 juin 2026 : C: - Caen (France) 11-12 juin 2026 : DevQuest Niort - Niort (France) 11-12 juin 2026 : DevLille 2026 - Lille (France) 12 juin 2026 : Tech F'Est 2026 - Nancy (France) 16 juin 2026 : Mobilis In Mobile 2026 - Nantes (France) 17-19 juin 2026 : Devoxx Poland - Krakow (Poland) 17-20 juin 2026 : VivaTech - Paris (France) 18 juin 2026 : Tech'Work - Lyon (France) 22-26 juin 2026 : Galaxy Community Conference - Clermont-Ferrand (France) 24-25 juin 2026 : Agi'Lille 2026 - Lille (France) 24-26 juin 2026 : BreizhCamp 2026 - Rennes (France) 2 juillet 2026 : Azur Tech Summer 2026 - Valbonne (France) 2-3 juillet 2026 : Sunny Tech - Montpellier (France) 3 juillet 2026 : Agile Lyon 2026 - Lyon (France) 6-8 juillet 2026 : Riviera Dev - Sophia Antipolis (France) 2 août 2026 : 4th Tech Summit on Artificial Intelligence & Robotics - Paris (France) 20-22 août 2026 : 4th Tech Summit on AI & Robotics - Paris (France) & Online 4 septembre 2026 : JUG Summer Camp 2026 - La Rochelle (France) 17-18 septembre 2026 : API Platform Conference 2026 - Lille (France) 24 septembre 2026 : PlatformCon Live Day Paris 2026 - Paris (France) 1 octobre 2026 : WAX 2026 - Marseille (France) 1-2 octobre 2026 : Volcamp - Clermont-Ferrand (France) 5-9 octobre 2026 : Devoxx Belgium - Antwerp (Belgium) Nous contacter Pour réagir à cet épisode, venez discuter sur le groupe Google https://groups.google.com/group/lescastcodeurs Contactez-nous via X/twitter https://twitter.com/lescastcodeurs ou Bluesky https://bsky.app/profile/lescastcodeurs.com Faire un crowdcast ou une crowdquestion Soutenez Les Cast Codeurs sur Patreon https://www.patreon.com/LesCastCodeurs Tous les épisodes et toutes les infos sur https://lescastcodeurs.com/

New Year's resolutions are a lovely idea—until life body-checks you in week two. Changing habits takes extra energy: consistency, patience, perseverance, and actual application. The good news? If you're a presenter (or you want to be), you've already got the three levers that move the needle every year: time, talent, and treasure—used wisely, they turn "I should…" into "I did." Why do presenters talk about "time, talent, and treasure" as the big three? Because presentation success is a leverage game: time builds repetition, talent grows through practice, and treasure buys acceleration. In a post-pandemic world of hybrid meetings, global teams, and always-on competition, persuasion is the divider—whether you're pitching internally at Toyota, selling B2B SaaS like Salesforce, or leading change in a mid-sized Australian firm. In Japan, the US, and across Europe, the pattern is consistent: people with clearer messages and stronger delivery get faster alignment. If you can't bring others with you, you end up living inside someone else's agenda. The "time, talent, treasure" model keeps you honest: how much are you practising, what skills are you deliberately developing, and where are you investing to shortcut the learning curve? Do now: Pick one presentation you'll deliver in the next 30 days and allocate time (practice), talent (skill focus), and treasure (tools/coaching) against it—on purpose. How does better use of time make you more persuasive? Time is life, and in presenting, time becomes trust—because repetition turns ideas into instinct. Persuasion isn't magic; it's built from small, consistent reps: clarifying your point, tightening your story, and refining your delivery until it sounds like you, not a script. Compare a startup founder in Silicon Valley to a manager in Tokyo: different cultures, similar pressure. The founder needs speed and punch; the Tokyo manager needs clarity, respect, and structured logic. In both cases, the presenter who rehearses wins—because they can think while speaking, handle questions, and stay calm when the room goes quiet. This is where habit science (think James Clear's "Atomic Habits" approach) helps: schedule short practice sprints, not heroic marathons. Do now: Put 15 minutes on your calendar, three times a week, to rehearse out loud—standing up, with a timer, and one clear "next step" at the end. Is presentation skill natural talent, or can it be learned? Great presenting is learned, not born—confidence is trained, not gifted. Most people aren't "naturals"; they're practised. The fear of embarrassment is real (hello, sweaty palms), but it's also beatable with the right method: structure + repetition + feedback. Look at the ecosystems that consistently produce strong communicators: Toastmasters, TED-style coaching, and frameworks used in leadership training programs like Dale Carnegie. The common denominator is guided practice and measurement—voice pace, eye contact, message structure, audience control. If you're in a multinational, you might get formal training; if you're in an SME, you might rely on YouTube and trial-and-error. Either way, the fastest path is: learn the fundamentals, apply immediately, then refine. Do now: Identify one skill to improve this month (openings, storytelling, slides, Q&A). Record a 2-minute practice video weekly and track one metric (clarity, pace, filler words). How do you build talent without drowning in content overload? Talent grows when you consume less content—but apply more of what matters. Content marketing has made learning ridiculously accessible: YouTube explainers, LinkedIn creators, podcasts on Apple Podcasts and Spotify, courses on Coursera and LinkedIn Learning. That's the upside. The downside? You're drinking from a firehose. The fix is a simple filter: choose one "lane" for 30 days—storytelling, executive presence, sales persuasion, or slide design—and ignore the rest. In the US, people often optimise for charisma; in Japan, audiences often reward clarity, humility, and structure. So your learning plan should match your context and industry (tech, finance, manufacturing, professional services). Quick checklist (use this before you watch anything): Will this help my next presentation in 14 days? Can I practise it within 48 hours? Can I measure improvement (time, audience response, outcomes)? Do now: Commit to one creator/course for 30 days and write one line after each session: "What I will do differently next time." When should you invest money (treasure) in training, coaching, or tools? Spend treasure when it buys speed, feedback, and real-world practice—not just inspiration. Free content is fantastic for discovery, but it rarely gives you personalised correction. Coaching, workshops, and quality programs can compress years of trial-and-error into months—especially when your role requires influence: executives, sales leaders, project managers, and subject-matter experts. Think of it like this: in a startup, treasure might be a pitch coach before a funding round. In a Japanese conglomerate, it might be a structured program to lift manager communication across regions. In Australia, it might be a practical workshop that improves internal briefings and client updates. Tools count too: a decent microphone, a ring light, or a slide template system can make your message land better in remote settings. Do now: Set an annual "persuasion budget" (even a small one). Prioritise: (1) coaching feedback, (2) skills program, (3) delivery tools—then measure ROI by outcomes (wins, approvals, reduced rework). What should leaders and professionals do if their resolutions already derailed? Resetting isn't failure—it's leadership: you regroup, adjust the system, and start again with better context. The people who improve each year aren't perfect; they're consistent about restarting. Presenters especially need this mindset because the stakes keep rising—hybrid audiences, shorter attention spans, and higher expectations for clarity. The practical move is to make "presenting improvement" part of your weekly rhythm, not a motivational burst. Use SMART goals, build tiny habits, and attach practice to something you already do (Monday team meeting, monthly client update, quarterly review). If you're leading others, make it cultural: run short "presentation sprints," rotate who opens meetings, and reward clarity—not just confidence. Do now: Choose one recurring event (weekly meeting or monthly update) and upgrade one element for the next 8 weeks: opening, structure, visuals, or Q&A handling. Conclusion Time, talent, and treasure aren't abstract ideas—they're the knobs you can actually turn. Use time deliberately, nurture talent through applied learning, and invest treasure where it accelerates feedback and skill. And if you've already fallen off the wagon this year? Brilliant. Now you've got data. Reset, refine, and climb the next rung. FAQs How long does it take to become a confident presenter? Most people feel noticeable improvement in 6–8 weeks with consistent practice and feedback. What's the fastest way to sound more persuasive? Tighten your opening: one clear point, one reason it matters, one next step. Do I need expensive training to improve? Not always—start with structured practice, then invest when you need faster progress or personalised correction. What if I'm terrified of public speaking? Start small: 60-second updates, then build duration and complexity while recording and reviewing. Author bio Dr. Greg Story, Ph.D. in Japanese Decision-Making, is President of Dale Carnegie Tokyo Training and Adjunct Professor at Griffith University. He is a two-time winner of the Dale Carnegie "One Carnegie Award" (2018, 2021) and recipient of the Griffith University Business School Outstanding Alumnus Award (2012). As a Dale Carnegie Master Trainer, Greg is certified to deliver globally across all leadership, communication, sales, and presentation programs, including Leadership Training for Results. He has written several books, including three best-sellers — Japan Business Mastery, Japan Sales Mastery, and Japan Presentations Mastery — along with Japan Leadership Mastery and How to Stop Wasting Money on Training. His works have been translated into Japanese, including Za Eigyō (ザ営業), Purezen no Tatsujin (プレゼンの達人), Torēningu de Okane o Muda ni Suru no wa Yamemashō (トレーニングでお金を無駄にするのはやめましょう), and Gendaiban "Hito o Ugokasu" Rīdā (現代版「人を動かす」リーダー). Greg also publishes daily business insights on LinkedIn, Facebook, and Twitter, and hosts six weekly podcasts. On YouTube, he produces The Cutting Edge Japan Business Show, Japan Business Mastery, and Japan's Top Business Interviews, which are widely followed by executives seeking success strategies in Japan.

Shawn O'Malley and Daniel Mahncke break down Netflix (ticker: NFLX) and discuss whether the company has finally won the streaming wars. While growth looked challenged back in 2022, Netflix has proven resilient in the face of competition and economic slowdowns by leaning into advertising and password crackdowns, with much room left to run internationally. IN THIS EPISODE, YOU'LL LEARN: 00:00:00 - Intro 00:13:36 - How Netflix pivoted from mailing DVDs to streaming 00:14:48 - How Netflix killed Blockbuster 00:24:20 - Why the business works so well with two co-CEOs 00:46:25 - How being a first-mover got Netflix through the cash burn phase before any competition arose 00:48:29 - What Netflix is doing to sustain growth into the future 00:54:00 - What makes the company's culture so legendary 01:04:18 - Why Netflix's app just “works” better than the competition 01:18:03 - How to think about modeling NFLX's intrinsic value 01:22:28 - Whether Shawn and Daniel add NFLX to their Intrinsic Value Portfolio *Disclaimer: Slight timestamp discrepancies may occur due to podcast platform differences. BOOKS AND RESOURCES The Investors Podcast Network is excited to debut a new community known as The Intrinsic Value Community for investors to learn, share ideas, network, and join calls with experts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Sign up for the waitlist(!)⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Sign up for ⁠⁠⁠⁠⁠⁠⁠⁠⁠The Intrinsic Value Newsletter.⁠⁠⁠⁠⁠⁠⁠⁠⁠ Learn how to ⁠⁠⁠⁠⁠⁠⁠join us⁠⁠⁠⁠⁠⁠⁠ in Omaha for the 2026 Berkshire Hathaway shareholder meeting. Track The Intrinsic Value Portfolio. Shawn & Daniel use Fiscal.ai for every company they research — use their referral link to get started with a 15% discount! Value Investors Club pitch on NFLX. The Acquired podcast's episode on Netflix. Business Breakdowns' podcast on Netflix. Check out No Rules Rules by Reed Hastings & Erin Meyer. Netflix CEO Ted Sarandos on the future of entertainment. Check out our previous Intrinsic Value breakdowns: Transdigm, Salesforce, Berkshire Hathaway, FICO, PayPal, Uber, Nike, Amazon, Airbnb, Alphabet. Related ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠books⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ mentioned in the podcast. Ad-free episodes on our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Premium Feed⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. NEW TO THE SHOW? Follow our official social media accounts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X (Twitter)⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Browse through all our episodes (complete with transcripts) ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Try Shawn's favorite tool for picking stock winners and managing our portfolios: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TIP Finance⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Enjoy exclusive perks from our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠favorite Apps and Services⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Learn how to better start, manage, and grow your business with the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠best business podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ References to any third-party products, services, or advertisers do not constitute endorsements, and The Investors Podcast Network is not responsible for any claims made by them. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://theinvestorspodcastnetwork.supportingcast.fm

Revenue leaders don't trust their pipeline anymore.In this episode, we sit down with Phil Cleary – 20+ year Salesforce veteran and co-lead of the Revenue Enablement Society – to unpack what's really happening inside revenue teams right now.We break down why forecasts are slipping, why pipeline feels fabricated, and why traditional sales training isn't fixing behaviour.This is a deep dive into revenue enablement strategy at the leadership level.We cover:+ Why buyers are frozen (FOBO from FOMO)+ The 2x2 coaching model every sales leader should use+ Why “software with a service” is the future of SaaS+ How behaviour, identity, and mindset drive real adoption+ Why you are your calendarIf you lead sales, marketing, or revenue teams – this conversation will challenge how you think about enablement.Tune in and learn:+ How to fix forecast uncertainty+ How to build behaviour-led performance+ How to align revenue teams around real commercial oversightIf you care about predictable revenue, commercial common sense, and long-term alignment – this one's essential.-----------------------------------------------------

In this episode of The Mentors Radio, Host Tom Loarie talks with Richard Harris, the global sales expert who trained the teams at SalesForce, Zoom and General Electric, founder and principal of The Harris Consultant Group, and author of bestseller “The Seller’s Journey: Your Guidebook to Closing More Deals with N.E.A.T. Selling”. You’ll learn why everyone is in sales, regardless of whether you are sharing ideas, influencing a corporate direction, an entrepreneur, a landscaper, have a career in selling products or services, or at home discussing an upcoming vacation with the family. In short, the Sellers Journey is not just for people with “sales” on their business card. The insights and wisdom discussed in this episode are gleaned not from perfection, but from imperfection—from first-hand experiences and challenges that ultimately led to years of award-winning sales achievements and award-winning sales training to help others—including teams from some of the Top companies in the world—achieve the same and better. Richard Harris has been named one of the “40 Most Inspiring Leaders in Sales Lead Management” by the Sales Lead Management Association (SLMA) and was included on the Datanyze Top 20 Inside Sales rockstar list, which is a list selected from Datanyze’s peers, partners, and mentors who have helped grow and shape the industry. As they put it: “A seasoned SaaS sales leader and inside sales trainer, Richard helps early stage and expansion stage startups build their sales infrastructure and train their sales teams to “get there faster.” He went on to found The Harris Consultant Group, which has helped transform hundreds of companies, teams and individuals who have worked with him or read his book. A passionate advocate for mental health awareness in sales, Harris balances his professional achievements with his role as a husband and father of two sons. His approach to sales leadership emphasizes both high performance and human-centric values, making him one of the most respected voices in modern sales transformation, as you’ll learn from this episode. LISTEN TO the radio broadcast live on iHeart Radio, or to “THE MENTORS RADIO” podcast any time, anywhere, on any podcast platform – subscribe here and don't miss an episode! SHOW NOTES: RICHARD HARRIS: BIO: https://theharrisconsultinggroup.com/about/ BOOK: The Seller’s Journey: Your Guidebook to Closing More Deals with N.E.A.T. Selling, by Richard Harris WEBSITE: https://theharrisconsultinggroup.com/

Mr. Beast Biography Flash a weekly Biography.Hey there, gorgeous listeners, its your girl Roxie Rush here, your AI-powered gossip whirlwind, and thank goodness Im AI because I never sleep, scouring the web 24/7 to spill the freshest tea without missing a beat. Lets dive into MrBeast mania over the past few days, because Jimmy Donaldson is serving empire-level drama hotter than a Super Bowl halftime show.Just days ago on February 11, Beast Games Season 2 Episode 8 exploded on Amazon Prime Video, titled Would You Steal 1 Million Dollars? Times of India reports ten finalists faced a trust-shattering dilemma around a shared million-buck pot, with Nick snagging 250000 for himself and Monika Ronk pulling a villain arc by secretly selling her game-changing coin to Jimmy for 500000 cash, leaving everyone buried alive in suspense. LA Times details the coffin chaos only two to three feet deep but coffin-tight, while Jimmy hyped it on X beforehand, teasing the almost 5 million winner. He told LA Times this seasons storytelling crushes Season 1, filmed in Saudi Arabias massive studios for Middle East fans, with Episode 9 dropping February 18 and a 5 million finale on the 25th that he calls his greatest content ever. Ratings are mixed, IMDb giving Episode 7 a meh 3.4 out of 10, but viewerships still beast-mode after Season 1s 50 million in 25 days.Business-wise, Storyboard18 pegs his 2026 net worth at a jaw-dropping 2.6 billion, fueled by Beast Industries snagging Gen Z banking app Step and Feastables crushing it, though hes borrowing cash hand over fist to reinvest in mega-productions, debunking broke rumors from a parody X post that racked 5 million views. Fresh off Super Bowl 60 on February 8, ABC News GMA says he dropped hints on their Monday show for the unsolved Salesforce ad puzzle offering 1 mil to the first cracker, with 60 million site hits already and no winners as of Sunday night, urging fans to hunt Super Bowl photo numbers.Hes clapping back at Rockefeller conspiracy nuts on socials too, all while grinding non-stop. Whew, what a ride!Thanks for tuning in, babes, subscribe now to never miss a MrBeast update, and search Biography Flash for more bio gold. Muah!And that is it for today. Make sure you hit the subscribe button and never miss an update on Mr. Beast. Thanks for listening. This has been a Quiet Please production."Get the best deals https://amzn.to/4mMClBvThis content was created in partnership and with the help of Artificial Intelligence AI

Silicon Valley layoffs incoming? Activist tech workers at companies including Google, SalesForce and Palantir are DEMANDING their employers make statements about ICE and drop ICE-related contracts. This won't end well. Just saying.Watch the podcast episodes on YouTube and all major podcast hosts including Spotify.CLOWNFISH TV is an independent, opinionated news and commentary podcast that covers Entertainment and Tech from a consumer's point of view. We talk about Gaming, Comics, Anime, TV, Movies, Animation and more. Hosted by Kneon and Geeky Sparkles.Get more news, views and reviews on Clownfish TV News - https://more.clownfishtv.com/On YouTube - https://www.youtube.com/c/ClownfishTVOn Spotify - https://open.spotify.com/show/4Tu83D1NcCmh7K1zHIedvgOn Apple Podcasts - https://podcasts.apple.com/us/podcast/clownfish-tv-audio-edition/id1726838629

Sign up for Practi, a new platform that helps law firms use subscription billing.Here are the top 5 takeaways from this episode:1. Start Early for Maximum Lifestyle Benefits. Chris started his subscription model in 2008 during the Great Recession, which allowed him to build his practice alongside his family life. The timing meant he never missed his sons' games or important moments – a work-life balance that would be much harder to achieve if transitioning from big law partnership later in your career.2. Niche + Brand Name = Credibility. FFL Guard (Federal Firearms License Guard) became the gold standard in its niche. The trade name made Chris's solo practice appear larger and more established than it was, while his deep specialization in federal firearms law created a defensible market position. Regulators even recommend his services off-the-record.3. Monetize Your Work Product Repeatedly. Chris built an online library, training courses (via Thinkific), and client portal where the same legal knowledge gets sold multiple times. As he learned from a mentor: “No man ever made millions billing by the hour.” The key is creating systems that generate revenue while you sleep.4. Annual Subscriptions with Payment Flexibility Work. Chris requires minimum one-year engagements but offers clients the choice to pay annually (at a discount) or monthly. This SaaS-style approach provides cash flow flexibility while ensuring enough time to build proper compliance infrastructure for clients. He ethically provides opt-out notices before renewal.5. Selling Prevention is Harder Than Selling Cures. The biggest challenge is convincing clients to pay $2,500/year proactively rather than $25,000 when disaster strikes. Chris positions himself as an “exterminator” – the reason clients don't see problems is because he's preventing them. This requires strong sales skills, public speaking, and building long-term trust and reputation.Bonus insight: Chris's tech stack evolved from Salesforce to Zoho (CRM), uses Grasshopper for phones, Thinkific for courses, and even adapted a debt collection tool (CHAX) for recurring check payments - proving you don't need perfect systems to succeed, just functional ones that work for your practice.__________________________Want your question to be answered on a future show? Fill out this short survey.Check out FFLGuard.Sign up for Paxton, my all-in-one AI legal assistant, helping me with legal research, analysis, drafting, and enhancing existing legal work product.Get Connected with SixFifty⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, a business and employment legal document automation tool.Sign up for ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Gavel⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, an automation platform for law firms.Visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Law Subscribed⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to subscribe to the weekly newsletter to listen from your web browser.Prefer monthly updates? Sign up for the Law Subscribed Monthly Digest on LinkedIn.Check out ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Mathew Kerbis'⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ law firm ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscription Attorney LLC⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Want to use the subscription model for your law firm? Click here to sign up for a new platform that helps law firms use subscription billing. Get full access to Law Subscribed at www.lawsubscribed.com/subscribe

Today on the Salesforce Admins Podcast, we talk to Tiaan Kruger, Senior Director of Product Management at Salesforce. Join us as we chat about Agentforce Vibes and what it really means to build with AI on the Salesforce platform. You should subscribe for the full episode, but here are a few takeaways from our conversation […] The post How Agentforce Vibes Is Changing How Salesforce Admins Build Apps appeared first on Salesforce Admins.

Why you should listenFerny reveals how Sherpaneer uses AI across operations, from capacity planning models to proposal development, giving you a practical blueprint for integrating AI into your own consulting workflows.Learn how Ferny and her partner built a fully self-sourced pipeline through reciprocal partnerships with adjacent vendors like Gong, Clari, and FinancialForce, without relying on Salesforce for leads.Get Ferny's approach to managing AI tools across a team, including shared projects in Claude, an internal AI use policy, and a quarterly review cycle to keep everything current.You know you should be using AI in your consulting practice, but where do you actually start without compromising client data or wasting time on tools that don't stick? In this episode, I talk with Ferny Bengali from Sherpaneer, a boutique Salesforce consultancy that works with enterprise clients across high-tech, financial services, manufacturing, and healthcare. Ferny walks me through exactly how her team of 12 uses AI day to day, from feeding anonymized staffing data into models for capacity planning, to using voice notes and LLMs to prep for pitches. We also get into how she structures client knowledge across projects, her approach to AI-optimized content for SEO, and why she hired a part-time BD person instead of going full-time. If you've been experimenting with AI but haven't operationalized it across your practice yet, this conversation will show you what that looks like in action.About Ferny BengaliFarnaz (Ferny) Bengali is Co-President of Sherpaneer, a women-owned, diverse Salesforce consulting partner that helps mid-to-large organizations implement the right way, the first time. With 20+ years of industry experience—including leadership roles at MicroStrategy, Accenture, and The Carlyle Group—Ferny chose the boutique path over big consulting, building a practice that delivers senior-level expertise without the agency bloat. She's also a board member of WISE (Women in Salesforce Entrepreneurship), co-invests in hospitality through Dogwood Hospitality, and is passionate about using AI as an operating layer to scale consulting without scaling headcount.Resources and LinksSherpaneer.comFerny's LinkedIn profileRead.aiNotebook LMScribeChatGPTClaudeGoogle Gemini

With a career spanning the US Navy, executive leadership positions at PetSmart and Banfield Pet Hospital, and pioneering online training, Don brings unique insights into building and scaling businesses across industries. Throughout the conversation, Avanish and Don discuss OpenSesame's evolution from an online learning marketplace to an AI-powered platform that serves enterprises, learning management systems, and content publishers. They explore the "Intel Inside" ecosystem strategy, the Simon AI tool that democratizes course creation and enables instant translation into 70 languages, and how organizations can successfully navigate workforce reinvention in the AI era while meeting customers where they are.In this episode, Avanish and Don discuss:OpenSesame's dual-sided platform strategy: Partnering with 200+ LMS/HRIS systems on the delivery side while aggregating 50,000 courses from 200+ publishers, providing distribution for small publishers to reach enterprise customers and enabling large publishers like Harvard Business Publishing to access mid-market and SMB segments.The Simon AI course creation tool: Democratizing content development by enabling subject matter experts to create high-quality courses without instructional designers, with built-in translation capabilities across 70 languages for voiceover and text—expanding global reach for multinational organizations.Workforce reinvention as strategic imperative: Positioning OpenSesame at the center of organizational AI transformation by providing not just technology but comprehensive change management roadmaps, helping HR and learning leaders guide their teams through adoption with curated content and use cases.The "meet them where they are" philosophy: Balancing long-term product vision with practical customer adoption paths, especially during transformational periods like AI implementation, by understanding customer needs deeply before prescribing solutions and allowing products to flex without compromising the ultimate vision.The 1% better daily improvement mindset: Embracing continuous learning and incremental progress as the foundation for breakthrough innovation, recognizing that overnight successes are built on consistent dedication and discipline over time.About Don Spear:Don Spear is CEO of OpenSesame. Before his current role, he founded BlueVolt.com, held executive leadership positions at Banfield Pet Hospital and PetSmart, and served as a submarine officer aboard the USS Tunny (SSN 682).About OpenSesameOpenSesame, the leading provider of online business training, is the choice for L&D professionals wanting to drive learning initiatives forward with innovation, agility, and care. We offer the world's most comprehensive digital learning catalog, with regularly updated content from expert publishers in a variety of formats and languages. By providing comprehensive learning resources and innovative tools like Simon, OpenSesame empowers L&D professionals to exceed their goals and champion learning across their entire organization.Host Avanish SahaiAvanish Sahai is a Tidemark Fellow and served as a Board Member of Hubspot from 2018 to 2023; he currently serves on the boards of Birdie.ai, Flywl.com and Meta.com.br as well as a few non-profits and educational boards. Previously, Avanish served as the vice president, ISV and Apps partner ecosystem of Google from 2019 until 2021. From 2016 to 2019, he served as the global vice president, ISV and Technology alliances at ServiceNow.  From 2014 to 2015, he was the senior vice president and chief product officer at Demandbase.  Prior to Demandbase, Avanish built and led the Appexchange platform ecosystem team at Salesforce, and was an executive at Oracle and McKinsey & Company, as well as various early to mid-stage startups in Silicon Valley.About TidemarkTidemark is a venture capital firm, foundation, and community built to serve category-leading technology companies as they scale.  Tidemark was founded in 2021 by David Yuan, who has been investing, advising, and building technology companies for over 20 years.  Learn more at www.tidemarkcap.com.LinksFollow our host, Avanish SahaiLearn more about Tidemark

Laffer Tengler Investments CEO Nancy Tengler talks with TITV Host Akash Pasricha about the recent software selloff and why she is doubling down on Nvidia, Palantir, and Apple. We also talk with The Information's Aaron Holmes about the "agent dashboard" battle between Microsoft, Salesforce, and OpenAI, and Buttonwood Funds' Joseph Alagna about the synergies behind the SpaceX and xAI merger. Lastly, we get into the future of orbital computing with Robinhood co-founder Baiju Bhatt as he unveils his new space startup, Aetherflux.Articles discussed on this episode: https://www.theinformation.com/articles/new-ai-superagent-race-pitting-openai-anthropic-microsoft-salesforcehttps://www.theinformation.com/newsletters/applied-ai/looming-battle-agent-management-softwareSubscribe: YouTube: https://www.youtube.com/@theinformation The Information: https://www.theinformation.com/subscribe_hSign up for the AI Agenda newsletter: https://www.theinformation.com/features/ai-agendaTITV airs weekdays on YouTube, X and LinkedIn at 10AM PT / 1PM ET. Or check us out wherever you get your podcasts.Follow us:X: https://x.com/theinformationIG: https://www.instagram.com/theinformation/TikTok: https://www.tiktok.com/@titv.theinformationLinkedIn: https://www.linkedin.com/company/theinformation/

Shares in software giants like Salesforce sank amid fears of competition from chatbots, implying pain for private equity's bet on the industry. In this Viewsroom podcast, Breakingviews columnists discuss how asset managers may take a hit whether AI lives up to its promise or not. Visit the Thomson Reuters Privacy Statement for information on our privacy and data protection practices. You may also visit megaphone.fm/adchoices to opt-out of targeted advertising.  Learn more about your ad choices. Visit megaphone.fm/adchoices

SUBSCRIBE to our newsletter: http://riskreversal.substack.com/ Dan Nathan & Guy Adami break down the top market headlines and bring you stock market trade ideas for Wednesday, January 11th. -- Learn more about FactSet: https://www.factset.com/lp/mrkt-callFollow us on Twitter @MRKTCallFollow @GuyAdami on TwitterFollow @CarterBWorth on TwitterFollow us on Instagram @RiskReversalMediaLike us on Facebook @RiskReversalWatch all of our videos on YouTube Learn more about your ad choices. Visit megaphone.fm/adchoices

A trillion dollars was wiped off software stocks after Anthropic released an AI legal tool. Suddenly the market is asking: if AI agents can do the work, why pay for the software? The "SaaSpocalypse" has dragged everything from Microsoft to Salesforce down double digits, leaving Wall Street split on whether this is an existential risk or a massive overreaction. And in today's Dumb Question of the Week: What is a moat? --- Thank you to Trading 212 for sponsoring this episode. Claim free fractional shares worth up to ‎£⁠100. Just create and verify a Trading 212 Invest or Stocks ISA account, make a minimum deposit of £1, and use the promo code "RAMIN" within 10 days of signing up, or use the following link: Sponsored Link. Terms apply - trading212.com/join/RAMIN When investing, your capital is at risk and you may get back less than invested. Past performance doesn't guarantee future results. Pies & Autoinvest is an execution-only service. Not investment advice or portfolio management. Automatic investing refers to executing scheduled deposits. You are responsible for all investment and rebalancing decisions. Free shares can be fractional. 212 Cards are issued by Paynetics which provide all payment services. T212 provides customer support and user interface. Terms and fees apply. ---Get in touch

We are seeing a massive shift in urgency with big brands launching campaigns months earlier than usual. Jay Schwedelson explains why "preseason marketing" is surging and shares a clever "first 100" registration tactic that leverages FOMO to drive immediate action. You also get the lowdown on a new Reddit ad unit that drives leads for cheap and a heated debate about which pizza chain actually tastes like pizza.ㅤBest Moments:(00:36) Why preseason marketing is becoming the dominant trend for 2026(01:40) How major brands like Salesforce are selling events a year in advance(02:52) The specific "first 100" phrasing that increases webinar signups by 20%(04:09) Using the concept of control to get people to register early(05:15) Reddit's new Reminder Ads that let you test traffic for cheap(05:56) Pizza Hut closing 250 stores and the debate over chain pizza quality(07:58) Why the new reality show about neighbor feuds is peak televisionㅤCheck out Jay's YOUTUBE Channel: https://www.youtube.com/@schwedelsonCheck out Jay's TIKTOK: https://www.tiktok.com/@schwedelsonCheck Out Jay's INSTAGRAM: https://www.instagram.com/jayschwedelson/ㅤPre-order Jay Schwedelson's new book, Stupider People Have Done It (out April 21, 2026). All net proceeds are donated to The V Foundation for Cancer Research—let's kick cancer's butt: https://www.amazon.com/Stupider-People-Have-Done-Marketing/dp/1637635206

Breaking into Salesforce in 2026 looks very different than it did just a few years ago and pretending otherwise is setting yourself up for frustration. In this episode, Bradley Rice returns to the Salesforce For Everyone podcast to lay out a realistic, modern roadmap for starting a Salesforce career in today's market. He breaks down what's changed since the hiring boom, why job application systems are fundamentally broken, and what actually works now if you want to land an entry-level Salesforce role. You'll learn which certification still matters, why LinkedIn is no longer optional, how to get hands-on experience without a job, and why blindly clicking "Quick Apply" is one of the fastest ways to get ignored. This episode is practical, direct, and designed to help you avoid the common traps that stall most aspiring Salesforce professionals. If you're serious about starting a Salesforce career in 2026 and want clarity instead of hype, this episode is your starting point. Episode Timestamps 00:00 – Welcome Back & Episode Overview Bradley explains why the podcast took a break, what's changing going forward, and why now is the right time to talk about Salesforce careers again. 10:10 – The One Certification You Actually Need Why the Salesforce Administrator certification is still the baseline requirement for entry-level roles. 20:53 – LinkedIn Is Not Optional Why LinkedIn matters more than resumes, even for introverts, and how it multiplies opportunities. 25:22 – Why Job Application Systems Are Broken A breakdown of why "200 applicants" doesn't mean what you think it means for employers or candidates. 29:17 – How Networking Actually Gets Interviews How simple human connections on LinkedIn cut through applicant overload. 32:53 – Getting Hands-On Experience Before Your First Job Why paid experience is not required and why volunteering often backfires. 45:48 – Applying for Jobs the Right Way Why Quick Apply hurts you and how to approach applications strategically instead.

IT spending continues to expand, with North America projected to lead a 12.6% increase to $2.6 trillion, primarily due to hyperscaler investments in AI infrastructure. However, the proportion of technology spending funneled through channel partners is declining, now at 61% compared to over 70% four years ago, according to a survey by Omnia. This shift signals that while the market is growing, traditional margin and resale opportunities for MSPs are narrowing as vendors redirect a larger share of revenue direct while still relying on partners for implementation, support, and customer operations.Data from Salesforce underscores a near-universal trend toward partner involvement in sales, with 94% of surveyed global salespeople leveraging partners to close deals and 90% using tools to manage relationships. Despite this, Dave Sobel clarifies the distinction between involvement and compensation, highlighting that partner influence on deals does not guarantee economic participation at previous levels. These dynamics reinforce that MSPs must adapt to a reality where their role in the value chain is being separated into influence and execution, with the middle tier facing increasing pressure.Additional analysis draws attention to labor market changes and technology commoditization. U.S. job openings have fallen to their lowest point in over five years, undermining MSP growth strategies dependent on seat expansion. Simultaneously, the AI market is fragmenting at the application layer—with Google's Gemini app, Grok, and OpenAI's ChatGPT shifting market shares rapidly—while hyperscalers like Alphabet (Google) commit unprecedented capital expenditures, fueling an infrastructure arms race even as front-end AI tools become more interchangeable.The practical implication for MSPs and IT service providers is increased pressure to re-evaluate business models, operationalize AI offerings, and focus on defensible, productized services. Reliance on a single vendor or seat-based growth forecasts presents heightened risk. Successful adaptation will require a shift toward managed services around AI operations, governance, and productivity—emphasizing accountability, optionality, and measurable ROI—rather than assuming historic revenue models will persist.Three things to know today:00:00 Partners Essential to Sales but Losing Economic Share, Survey Shows05:44 US Job Market Shows Low Hiring, Low Firing Despite Falling Openings       08:00 Alphabet Plans $180B AI Capex as Gemini Hits 750M UsersThis is the Business of Tech.   Supported by: Small Biz Thoughts Community

Technology stocks started February on the back foot as volatility spiked and leveraged trades unwound across markets—crypto first, then metals, then equities. The key question: is this a real breakdown in tech leadership, or a mechanical liquidation that's creating selective opportunity? 0:00 - INTRO 0:19 - Superbowl Recap & Looking for BLS & CPI 4:41 - More Trapped Longs & Volatility to Come 10:38 - Market Volatility May not Be Over Yet 14:28 - The AI Threat to Software Co's 18:12 - Salesforce vs AI 23:20 - Narratives are Justification for Overpaying 26:30 - Technology Sector Analysis & Rotation 29:40 - Value to Growth Rotation 32:05 - Where are Earnings Coming From? 35:08 - Waiting for the Bottom to Buy 37:36 - Fundamentals Then & Now 40:01 - Margin Debt vs DPI (Disposable Personal Income) 41:30 - What Happens When You Lose it All 44:05 Boomer Advice for Younger Investors 48:41 - Learn when Enough is Enough Hosted by RIA Advisors Chief Investment Strategist, Lance Roberts, CIO Produced by Brent Clanton, Executive Producer ------- Register for our next Candid Coffee, 2/21/26: https://streamyard.com/watch/Wq3Yvn9ny5GV ------- Watch Today's Full Video on our YouTube Channel: https://youtube.com/live/dkvgydsdn-g?feature=share ------- Articles Mentioned in Today's Show: "Speculative Narrative Unwinds" https://realinvestmentadvice.com/resources/blog/speculative-narrative-unwinds/ "Technology Stocks: Dead Or An Opportunity?" https://realinvestmentadvice.com/resources/blog/technology-stocks-dead-or-an-opportunity/ ------- Watch our previous show, "The Wealth-Health Gap," here: https://youtube.com/live/TynkcovRQIQ?feature=share -------- The latest installment of our new feature, Before the Bell, "100-DMA Holds, Volatility Returns," is here: https://youtu.be/y7ilBZWTrcA ------- Visit our E-book Library (no library card required!) https://realinvestmentadvice.com/ria-e-guide-library/ -------- SUBSCRIBE to The Real Investment Show here: http://www.youtube.com/c/TheRealInvestmentShow -------- Visit our Site: https://www.realinvestmentadvice.com Contact Us: 1-855-RIA-PLAN -------- Subscribe to SimpleVisor: https://www.simplevisor.com/register-new -------- Connect with us on social: https://twitter.com/RealInvAdvice https://twitter.com/LanceRoberts https://www.facebook.com/RealInvestmentAdvice/ https://www.linkedin.com/in/realinvestmentadvice/ #StockMarket #SP500 #MarketVolatility #TechnicalAnalysis #RiskManagement #TechnologyStocks #Nasdaq #MarketVolatility #SectorRotation #RiskManagement

Daniel Mahncke and Shawn O'Malley take a deep dive into Hermès — the family-controlled luxury house that has turned craftsmanship and scarcity into a compounding machine. Join Daniel Mahncke and Shawn O'Malley as they assess whether Hermès can remain the pinnacle of luxury and whether it deserves a spot in The Intrinsic Value Portfolio. IN THIS EPISODE, YOU'LL LEARN: 00:00:00 - Intro 00:01:10 - What makes a brand true luxury 00:10:35 - Why no one can copy Hermès 00:18:57 - How important local production and family ties are 00:20:26 - Why Hermès started producing bags 00:23:55 - How Hermès built its moat and reputation 00:39:22 - What markets matter most to Hermès 00:43:07 - How Hermès can keep growing 01:10:51 - Whether Shawn and Daniel add Hermès to the portfolio And much, much more! *Disclaimer: Slight timestamp discrepancies may occur due to podcast platform differences. BOOKS AND RESOURCES The Investors Podcast Network is excited to debut a new community known as The Intrinsic Value Community for investors to learn, share ideas, network, and join calls with experts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Sign up for the waitlist(!)⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Sign up for ⁠⁠⁠⁠⁠⁠⁠The Intrinsic Value Newsletter.⁠⁠⁠⁠⁠⁠⁠ Shawn & Daniel use ⁠⁠⁠⁠⁠Fiscal.ai⁠⁠⁠⁠⁠ for every company they research — use their ⁠⁠⁠⁠⁠referral link⁠⁠⁠⁠⁠ to get started with a 15% discount! Learn how to ⁠⁠⁠⁠⁠join us⁠⁠⁠⁠⁠ in Omaha for the 2026 Berkshire Hathaway shareholder meeting. Jean-Noël Kapferer's The Luxury Strategy. WSB Episode on Hermès. WSB Luxury Strategy Breakdown. Quartr Article on Hermès. Explore our previous Intrinsic Value breakdowns: ⁠Transdigm⁠, ⁠Salesforce⁠, ⁠Berkshire Hathaway⁠, ⁠FICO⁠, ⁠PayPal⁠, ⁠Uber⁠, ⁠Nike,⁠ ⁠Amazon,⁠ ⁠Airbnb, ⁠ ⁠Alphabet⁠. Related ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠books⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ mentioned in the podcast. Ad-free episodes on our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Premium Feed⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. NEW TO THE SHOW? Follow our official social media accounts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X (Twitter)⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Browse through all our episodes (complete with transcripts) ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Try Shawn's favorite tool for picking stock winners and managing our portfolios: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TIP Finance⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Enjoy exclusive perks from our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠favorite Apps and Services⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Learn how to better start, manage, and grow your business with the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠best business podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ References to any third-party products, services, or advertisers do not constitute endorsements, and The Investors Podcast Network is not responsible for any claims made by them. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://theinvestorspodcastnetwork.supportingcast.fm

Software companies are in trouble. Or at least their stocks are. Salesforce is down 25%, and Intuit is down 31%, after startup Anthropic released a new tool sparking fear among investors that software companies are in danger of becoming obsolete. We'll learn more. Then, all kinds of cryptocurrencies are cratering in value, and we'll hear what it's like to be a small business in an anemic job market.