Podcasts about ai systems

You can achieve any goal when you build the right systems, and AI makes it easier than ever.In this episode, I'll show you how to use AI to create systems that help you grow your business, health, and relationships without burning out.Stop relying on willpower, start building systems that win for you.✅ Get your FREE Pre-Loaded Year Template here: https://go.danmartell.com/4i0JyMF

In this episode of the Great Intentions podcast, hosts Roel Wouters and Jonas Lund delve into the creative process behind Roel's new film 'Deep Soup', exploring themes of anticipation, post-project emotions, and the impact of parenting styles in a digital age. They discuss Jonas's recent achievement of winning an art prize and reflect on the role of generative AI in creativity, questioning its implications for artistic expression and cultural development. The conversation highlights the balance between providing access to culture and fostering imagination, ultimately pondering the future of AI in creative fields.03:02 Exploring the Themes of Deep Soup05:57 Premiere Details and Distribution Plans08:57 Navigating Post-Project Emotions12:02 Jonas's Artistic Achievements14:48 Cultural Reflections on Parenting17:54 The Significance of the Prize22:31 Predicting Outcomes with AI25:04 Parenting in the Digital Age32:23 Navigating Parenting Styles39:48 The Impact of Public Judgment on Parenting39:59 The Future of AI and Problem Solving42:47 The State of AI Systems and Model Collapse47:56 Generative AI: Creativity or Limitation?51:56 Cultural Scarcity and Imagination54:57 The Role of AI in Creative Production⁠⁠⁠⁠⁠⁠⁠The Great Intentions Podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jonas Lund ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠& ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Roel Wouters

Ever feel like you're drowning in your own business? Nick Lawless was running two companies, writing a book, and battling a lawsuit—all while his ADHD brain was working overtime. His solution? An AI-powered system his team calls "The Lawless Longhouse." This isn't another theoretical discussion about AI. This is a real-world case study of how one entrepreneur went from chaos to control using systems designed specifically for his brain. The Entrepreneur's Paradox We dive into why the skills that make you great at starting businesses often sabotage your growth. Nick shares the hidden cost of entrepreneurial ADHD and why structure isn't actually your enemy. You'll hear his journey from government work to founding two security companies, and the moment he realized something had to change. When Your Brain Works Against Your Business Nick opens up about the turning point when he realized his biggest bottleneck was himself. We explore why traditional productivity systems fail for neurodivergent entrepreneurs and uncover the surprising connection between vision, values, and staying organized. This conversation will resonate with anyone who's ever felt like their own mind was working against their business goals. Building Your AI Chief of Staff Jennifer Spielman reveals the "Lawless Longhouse" system in detail. You'll discover how AI now manages Nick's calendar, coordinates his teams, and bridges his personal and professional life. Jennifer walks through the specific automation that saved Nick hundreds of hours and explains why this isn't about replacing humans—it's about freeing them to do what they do best. The real results speak for themselves: Nick's productivity transformed even during a lawsuit. The System Behind the System We tackle the reality that your best system today will need updating tomorrow. The conversation explores how to build review processes that actually stick and shares the framework for iterating on what works while ditching what doesn't. This is where the rubber meets the road for sustainable business growth. The Leadership Lesson That Changes Everything Nick shares the mentorship that shaped his entire approach to leadership. He reflects on what Amy Whiteman taught him about authentic leadership and why empowering others is the ultimate scaling strategy. Most importantly, he reveals how to lead effectively when everything feels like it's falling apart. Key Takeaways for Your Business Your systems should fit YOUR brain, not the other way around. Nick's ADHD isn't a weakness to overcome—it's a factor to design around. This fundamental shift in thinking can transform how you approach building processes in your business. AI isn't the future—it's the present. The Lawless Longhouse isn't science fiction. It's working right now, coordinating schedules, managing tasks, and keeping a multi-company CEO on track. This episode demonstrates practical applications you can start implementing today. Structure doesn't kill creativity; it protects it. The more automated and systematic Nick's routine tasks became, the more mental space he had for strategic thinking. This is the paradox that busy business owners need to understand. Systems are never "done." Even the best processes need regular review and iteration—especially when your business faces unexpected challenges. Nick's experience with the lawsuit proves that adaptable systems are resilient systems. The best leaders make themselves less necessary. Nick's ultimate goal demonstrates the power of magnetic systems: build processes so good that your businesses can thrive without you constantly intervening.

When you build a software business as a founder, you have a dream. Building. Features. APIs. UIs.But how much of that is JUST a dream, and what REALLY leads to paying customers?This episode of The Bootstraped Founder is sponsored by Paddle.comYou'll find the Black Friday Guide here: https://www.paddle.com/learn/grow-beyond-black-fridayThe blog post: https://thebootstrappedfounder.com/the-things-your-customers-dont-care-about/The podcast episode: https://tbf.fm/episodes/422-the-things-your-customers-dont-care-aboutCheck out Podscan, the Podcast database that transcribes every podcast episode out there minutes after it gets released: https://podscan.fmSend me a voicemail on Podline: https://podline.fm/arvidYou'll find my weekly article on my blog: https://thebootstrappedfounder.comPodcast: https://thebootstrappedfounder.com/podcastNewsletter: https://thebootstrappedfounder.com/newsletterMy book Zero to Sold: https://zerotosold.com/My book The Embedded Entrepreneur: https://embeddedentrepreneur.com/My course Find Your Following: https://findyourfollowing.comHere are a few tools I use. Using my affiliate links will support my work at no additional cost to you.- Notion (which I use to organize, write, coordinate, and archive my podcast + newsletter): https://affiliate.notion.so/465mv1536drx- Riverside.fm (that's what I recorded this episode with): https://riverside.fm/?via=arvid- TweetHunter (for speedy scheduling and writing Tweets): http://tweethunter.io/?via=arvid- HypeFury (for massive Twitter analytics and scheduling): https://hypefury.com/?via=arvid60- AudioPen (for taking voice notes and getting amazing summaries): https://audiopen.ai/?aff=PXErZ- Descript (for word-based video editing, subtitles, and clips): https://www.descript.com/?lmref=3cf39Q- ConvertKit (for email lists, newsletters, even finding sponsors): https://convertkit.com?lmref=bN9CZw

Ep. 376 This guest grew her Instagram from zero to over 418,000 followers in just a year—almost entirely on autopilot with AI-powered content repurposing. Kipp, Kieran, and guest Sabrina Romanov, of Blotato, dive into how solopreneurs and marketers can go from a simple app idea to launching viral lead magnets, driving traffic, and scaling their brand with AI, even if you don't have technical experience. Learn more on no-code “Vibe coding” tools to build micro apps, automation strategies for distributing your content across eight platforms, and the secret formula to creating content that actually gets noticed (and converts). Mentions Sabrina Romanov https://www.youtube.com/@sabrina_ramonov Blotato https://www.blotato.com/ Lovable https://lovable.dev/ Replit https://replit.com/ Zapier https://zapier.com/ Pegasystams https://www.pega.com/ Get our guide to build your own Custom GPT: https://clickhubspot.com/customgpt We're creating our next round of content and want to ensure it tackles the challenges you're facing at work or in your business. To understand your biggest challenges we've put together a survey and we'd love to hear from you! https://bit.ly/matg-research Resource [Free] Steal our favorite AI Prompts featured on the show! Grab them here: https://clickhubspot.com/aip We're on Social Media! Follow us for everyday marketing wisdom straight to your feed YouTube: ​​https://www.youtube.com/channel/UCGtXqPiNV8YC0GMUzY-EUFg  Twitter: https://twitter.com/matgpod  TikTok: https://www.tiktok.com/@matgpod  Join our community https://landing.connect.com/matg Thank you for tuning into Marketing Against The Grain! Don't forget to hit subscribe and follow us on Apple Podcasts (so you never miss an episode)! https://podcasts.apple.com/us/podcast/marketing-against-the-grain/id1616700934   If you love this show, please leave us a 5-Star Review https://link.chtbl.com/h9_sjBKH and share your favorite episodes with friends. We really appreciate your support. Host Links: Kipp Bodnar, https://twitter.com/kippbodnar   Kieran Flanagan, https://twitter.com/searchbrat ‘Marketing Against The Grain' is a HubSpot Original Podcast // Brought to you by Hubspot Media // Produced by Darren Clarke.

Dr. Craig Kaplan is the Founder and CEO of iQ Company, a leading consulting firm specializing in the ethical and safe development of advanced AI and Superintelligent systems. With over 20 years at the helm, Dr. Kaplan has published a book, numerous patents, and ten whitepapers on Safe Superintelligence. His former company, PredictWallStreet, earned top recognition for outperforming major financial institutions like NASDAQ and TD Ameritrade. In this episode… As artificial intelligence continues to evolve at lightning speed, the world is grappling with a pivotal question: can we build systems powerful enough to change the world without losing control of them? What would it take to design smarter, safer, and more transparent AI that humanity can truly trust? According to Dr. Craig Kaplan, a pioneering figure in AI and collective intelligence systems, the key lies in prevention and design. He emphasizes that most of today's AI models function as "black boxes," where even their creators can't fully explain how decisions are made — a recipe for unpredictable behavior. Dr. Kaplan argues that the industry must focus on embedding safety at the design phase, not patching it afterward. Drawing from decades in AI and software quality, he highlights how systems designed with human oversight, transparency, and collective intelligence can be both safer and more profitable, ensuring accountability while maintaining innovation's momentum. Tune in to this episode of the Smart Business Revolution Podcast as John Corcoran interviews Dr. Craig Kaplan, Founder and CEO of iQ Company, about designing safer and more transparent AI systems. They explore the flaws in current AI training, the promise of collective intelligence, and the urgent need for ethical frameworks. Dr. Kaplan also shares why smarter design (not slower development) is the path to both safety and progress.

How can you ever know whether an LLM is safe to use? Even self-hosted LLM systems are vulnerable to adversarial prompts left on the internet and waiting to be found by system search engines. These attacks and others exploit the complexity of even seemingly secure AI systems.   In our latest podcast from the Carnegie Mellon University Software Engineering Institute (SEI), David Schulker and Matthew Walsh, both senior data scientists in the SEI's CERT Division, sit down with Thomas Scanlon, lead of the CERT Data Science Technical Program, to discuss their work on System Theoretic Process Analysis, or STPA, a hazard-analysis technique uniquely suitable for dealing with AI complexity when assuring AI systems. 

HOUR 1 What's fueling the surge of cancer across America's Midwest—and why won't the media name the most controversial suspect? In this gripping episode of Rush to Reason, John Rush, Dr. Kelly Victory, and Steve House expose alarming cancer trends and ask: are toxins to blame—or something far more recent and widespread? Dr. Kelly reveals evidence linking “turbo cancers” to spike proteins found inside tumors, while John and Steve question why the medical community stays silent. When proof threatens power, who decides what the public gets to know? Meanwhile, a buried $600 billion Big Pharma lawsuit reveals how PBMs have quietly controlled drug prices for decades. Could new technology finally break this monopoly—or has corruption gone too deep? Don't miss this explosive conversation that connects hidden lawsuits, rising cancers, and the fight to uncover the truth. HOUR 2 What happens when unlicensed, illegal truck drivers hit the road—and who's really responsible when things go wrong? Why did Denver come so close, yet fall short, in its bid to host the 2030 Gay Games—and what does that say about the city's political and cultural identity? Then, former President Trump makes a shocking move: ordering the Pentagon to prepare for nuclear weapons testing for the first time since 1992. What's behind that decision, and what message is it sending to the world? And finally—what would you do if you won $2 billion? One California man is using his winnings to buy up properties lost in the L.A. fires. Is it rebuilding or opportunism? HOUR 3 What drives a New Yorker who despises billionaires to throw his support behind socialist candidate Zorhan Mamdani for mayor? Is this a glimpse into the future of urban politics—or a warning sign for the rest of the country? Meanwhile, the CEO of Walmart takes on George Stephanopoulos over the real cost of Thanksgiving dinner this year—so who's telling the truth about inflation? And in a bizarre twist, how did an AI system mistake a bag of Doritos for a gun? What does that say about the technology shaping our everyday lives? Then—California's SEIU union is pushing a new ballot measure: a 5% wealth tax on billionaires, retroactive to 2025. Could this start an exodus—or a revolution? Plus, emergency funds for SNAP and a local race that hits close to home—Steve Altschuler is back in the running for Longmont City Council.

Mark Suman, co-founder of Maple AI and OpenSecret, shares his insights on how to build cutting-edge AI without sacrificing user privacy. From secure enclaves and attestation to real-world use cases in law and finance, Mark outlines the technical and ethical foundations of private AI, and why efficient inference, not just open models, is the next big frontier. IN THIS EPISODE YOU'LL LEARN: 00:00:00 - Intro 00:01:57 - How Mark's Time at Apple Shaped His Vision for Secure, User-First AI 00:06:06 - Why Verifiable AI Matters for Protecting User Data 00:07:38 - The Privacy Threats of Centralized AI Models 00:15:26 - What Maple AI Does That Other AI Tools Don't—End-to-End Encrypted, Verifiable Privacy 00:17:30 - The Threat Models Maple Addresses and How Enclaves + Attestation Work 00:19:51 - Why Inference Speed and Efficiency—Not Open Weights—Are the New AI Battleground 00:24:05 - Where Decentralized AI Fits Into Today's Landscape 00:25:12 - A Step-by-Step Guide to Getting Started with Maple 00:29:13 - How Users Change Behavior When They Trust the AI System 00:32:42 - The Risks and Critiques of TEEs—and How Maple Answers Them 00:37:35 - Which Professions Benefit Most from Private AI 00:45:27 - Mark's Vision for Verifiable, Private AI Over the Next Decade Disclaimer: Slight discrepancies in the timestamps may occur due to podcast platform differences. BOOKS AND RESOURCES X Account: Mark Suman. Website: Maple AI. Related⁠⁠⁠⁠⁠⁠ books⁠⁠⁠⁠⁠⁠ mentioned in the podcast. Ad-free episodes on our⁠⁠⁠⁠⁠⁠ Premium Feed⁠⁠⁠⁠⁠⁠. NEW TO THE SHOW? Join the exclusive ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TIP Mastermind Community⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to engage in meaningful stock investing discussions with Stig, Clay, Kyle, and the other community members. Follow our official social media accounts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X (Twitter)⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TikTok⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Check out our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Bitcoin Fundamentals Starter Packs⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Browse through all our episodes (complete with transcripts) ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Try our tool for picking stock winners and managing our portfolios: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TIP Finance Tool⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Enjoy exclusive perks from our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠favorite Apps and Services⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Get smarter about valuing businesses in just a few minutes each week through our newsletter, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Intrinsic Value Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Learn how to better start, manage, and grow your business with the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠best business podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. SPONSORS Support our free podcast by supporting our ⁠⁠⁠⁠⁠⁠⁠sponsors⁠⁠⁠⁠⁠⁠⁠: Simple Mining Unchained HardBlock Kubera Vanta Shopify reMarkable Onramp Public.com Abundant Mines Horizon Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://theinvestorspodcastnetwork.supportingcast.fm

In this talk, Hugo Bowne-Anderson, an independent data and AI consultant, educator, and host of the podcasts Vanishing Gradients and High Signal, shares his journey from academic research and curriculum design at DataCamp to advising teams at Netflix, Meta, and the US Air Force. Together, we explore how to build reliable, production-ready AI systems—from prompt evaluation and dataset design to embedding agents into everyday workflows.You'll learn about: How to structure teams and incentives for successful AI adoptionPractical prompting techniques for accurate timestamp and data generationBuilding and maintaining evaluation sets to avoid “prompt overfitting”- Cost-effective methods for LLM evaluation and monitoringTools and frameworks for debugging and observing AI behavior (Logfire, Braintrust, Phoenix Arise)The evolution of AI agents—from simple RAG systems to proactive, embedded assistantsHow to escape “proof of concept purgatory” and prioritize AI projects that drive business valueStep-by-step guidance for building reliable, evaluable AI agentsThis session is ideal for AI engineers, data scientists, ML product managers, and startup founders looking to move beyond experimentation into robust, scalable AI systems. Whether you're optimizing RAG pipelines, evaluating prompts, or embedding AI into products, this talk offers actionable frameworks to guide you from concept to production.LINKSEscaping POC Purgatory: Evaluation-Driven Development for AI Systems - https://www.oreilly.com/radar/escaping-poc-purgatory-evaluation-driven-development-for-ai-systems/Stop Building AI Agents - https://www.decodingai.com/p/stop-building-ai-agentsHow to Evaluate LLM Apps Before You Launch - https://www.youtube.com/watch?si=90fXJJQThSwGCaYv&v=TTr7zPLoTJI&feature=youtu.beMy Vanishing Gradients Substack - https://hugobowne.substack.com/Building LLM Applications for Data Scientists and Software Engineers https://maven.com/hugo-stefan/building-ai-apps-ds-and-swe-from-first-principles?promoCode=datatalksclubTIMECODES:00:00 Introduction and Expertise04:04 Transition to Freelance Consulting and Advising08:49 Restructuring Teams and Incentivizing AI Adoption12:22 Improving Prompting for Timestamp Generation17:38 Evaluation Sets and Failure Analysis for Reliable Software23:00 Evaluating Prompts: The Cost and Size of Gold Test Sets27:38 Software Tools for Evaluation and Monitoring33:14 Evolution of AI Tools: Proactivity and Embedded Agents40:12 The Future of AI is Not Just Chat44:38 Avoiding Proof of Concept Purgatory: Prioritizing RAG for Business Value50:19 RAG vs. Agents: Complexity and Power Trade-Offs56:21 Recommended Steps for Building Agents59:57 Defining Memory in Multi-Turn ConversationsConnect with HugoTwitter - https://x.com/hugobowneLinkedin - https://www.linkedin.com/in/hugo-bowne-anderson-045939a5/Github - https://github.com/hugobowneWebsite - https://hugobowne.github.io/Connect with DataTalks.Club:Join the community - https://datatalks.club/slack.htmlSubscribe to our Google calendar to have all our events in your calendar - https://calendar.google.com/calendar/r?cid=ZjhxaWRqbnEwamhzY3A4ODA5azFlZ2hzNjBAZ3JvdXAuY2FsZW5kYXIuZ29vZ2xlLmNvbQCheck other upcoming events - https://lu.ma/dtc-eventsGitHub: https://github.com/DataTalksClub- LinkedIn - https://www.linkedin.com/company/datatalks-club/ Twitter - https://twitter.com/DataTalksClub - Website - https://datatalks.club/

Robert Hartline is the Founder of Scaling Sober. Adi Klevit is the CEO and Founder of Business Success Consulting Group. Zeke Camusio is the CEO of Data Speaks. Asif Rehmani is the Founder and CEO of VisualSP. Rolando Rosas is the Founder of Global Teck Worldwide Inc. Dr. Kim Tran is the Founder and Doctor of Chiropractic at Minnesota Family Chiropractic. In this episode… Scaling a business while staying sane isn't easy, especially in a world fueled by constant innovation and AI disruption. Entrepreneurs are juggling growth, team management, and personal well-being simultaneously. So how do the most successful leaders harness technology and mindset to achieve balance instead of burnout? Robert Hartline shares how entrepreneurs can stay grounded by identifying emotional triggers, applying EOS systems for structure, and replacing destructive habits with purpose-driven routines. Adi Klevit streamlines chaos through documented processes and focused tools, while Zeke Camusio uses data analytics to reduce uncertainty and guide smart marketing decisions. Asif Rehmani leverages AI to simplify workflows and learning, Rolando Rosas promotes authentic communication and empathy in negotiation, and Dr. Kim Tran emphasizes faith, balance, and daily consistency as the foundation of resilience. Together, they show that success without burnout comes from clarity, connection, and small, consistent actions.  In this episode of the Inspired Insider Podcast, Dr. Jeremy Weisz is joined by Robert Hartline, Adi Klevit, Zeke Camusio, Asif Rehmani, Rolando Rosas, and Dr. Kim Tran to talk about using AI, systems, and mindset to scale without burning out. They explore how process documentation empowers teams, why AI can become a true business partner, and how mindfulness supports sustainable leadership. They also share their favorite books, podcasts, and tools for growth.

Calico is building an agentic AI system for apparel sourcing and production—automating the "messy middle" of manufacturing that has operated on emails, Excel, and WhatsApp for decades. As a founder who previously built and exited apparel brands, Kathleen Chan experienced the pain firsthand: opening a Shopify store takes minutes, but actually producing inventory requires staying up until 2am managing factory communications. In this episode, she shares how Calico is creating a new category during the 2025 tariff crisis, when sourcing directors are rewriting playbooks that haven't changed in 50 years. Topics Discussed: How Calico functions as an AI co-pilot for sourcing directors and production managers Creating a category when no budget line exists for agentic AI systems Leveraging the 2025 tariff environment as an adoption catalyst Why six months of paid acquisition produced high signups but zero quality customers Sequencing GTM tactics from unscalable one-to-ones to conferences to content Building authenticity in a market saturated with AI slop and generic LinkedIn content Hiring early evangelists who maintain conviction through the startup zigzag GTM Lessons For B2B Founders: Match GTM motion to how your market transacts, not what scales: Calico tested paid acquisition for six months before realizing relationship-building converted better despite being unscalable. In apparel manufacturing, decades-long supplier relationships can't turn on and off overnight—the buying motion reflects this reality. Kathleen's approach: early-stage requires one-to-one dinners and networking to answer nuanced questions; mid-stage shifts to conferences for broader reach; late-stage deploys LinkedIn content once the market understands your category. The sequencing matters because each stage builds on the previous one's trust foundation. Brutally audit customer quality, not conversion metrics: Calico's paid acquisition drove signups and "conversions by marketing sense," creating a false signal of product-market fit. After six months, the math revealed these customers cost more to acquire than those from relationship channels and had lower quality. Kathleen's lesson: vanity metrics provide a "weird little dopamine hit" that masks broken unit economics. For B2B founders in complex sales cycles, track cost-per-quality-customer, not cost-per-signup. Use macro disruption to collapse sales cycles: The 2025 tariff crisis created an "impossible challenge" for Calico's ICP—sourcing directors forced to rewrite playbooks built over decades while tariffs changed via tweet. Rather than fighting the chaos, Calico positioned itself as the solution to this specific moment, anchoring customer conversations on tariff-driven urgency. This transformed education from abstract ("here's what agentic AI can do") to concrete ("here's how we solve your tariff problem today"). B2B founders should identify trigger events that make the status quo untenable. Create category clarity by defining what you're not: In a market where "AI could mean things to many different people," Calico differentiated by explicitly stating what their system cannot do. Kathleen prioritized "dispelling the notions of what we are and what we aren't" over overselling capabilities. This matters because sophisticated buyers—especially in industries with low tech adoption—need to understand boundaries before they'll trust promises. The tactic builds credibility in noisy markets where everyone claims AI magic. Hire evangelists who outlast founder doubt: Calico's most impactful GTM decision was bringing on early team members who could evangelize value through the inevitable "zigzaggy" early stage—when "it's exciting one day and the worst day ever the next." These people interface directly with customers regardless of whether the founder is having doubts or frustrations. Kathleen's insight: in B2B relationship-driven sales, your early GTM hires' conviction directly determines whether customers stick through product evolution. Hire for authentic belief, not just skills. Deprioritize content in high-noise environments: Calico deliberately delays LinkedIn content until later stages because "folks are a little bit more muted to all the LinkedIn content coming at them." With AI making content easier than ever to create, Kathleen sees audiences questioning whether to take it seriously and whether AI-generated content has less value than human-generated. Her approach: authenticity trumps quantity. For B2B founders, this means investing in formats that can't be easily faked (video, in-person) before scaling written content. // Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

Connect with Cory:bluemoso.comlinked-agency.com

Are you hiring your first go-to-market team, or looking to scale your B2B SaaS sales organization? In this episode of SaaS Fuel, Jeff Mains sits down with William Spengler, founder of Frederick Fox, to discuss the realities—and pitfalls—of building a high-performing sales team for SaaS startups.Will reveals why most early sales hires fail, how the staffing industry is undergoing disruption, and his blueprint for assembling a scrappy, effective team in a marketplace crowded with resumes and inflated claims. The conversation ranges from the challenges of hiring senior versus raw talent, the tactical necessity of reference checks, the evolving role of AI in recruiting, how to avoid cash crunches even when revenues are up, and why clarity in your hiring process is the foundation of success. If you're ready for a brutally honest, actionable guide to hiring and scaling (without the fluff), this episode is for you.Key Takeaways00:00 Effective Sales Strategy & Hiring04:56 Real Estate-Style Recruiter Model08:51 "Reality Check: Starting a Firm"11:47 Competitor Research for Business Growth15:04 Defining Critical Hiring Needs20:49 Experience Over Elbow Grease22:14 Streamlining Interview Processes28:25 Incentivizing Sales with High Commissions29:57 "Finding High-Performing Sales Talent"36:37 AI Tools in Recruiting: Limitations40:02 The Limits of AI Interviews42:33 Building an Effective GovTech Sales Team45:24 Verifying Sales Candidate References50:14 "AI Systems & Sales Strategies"Tweetable QuotesQuote: "I would say start to target their top salespeople. That's really what recruiters do. We do the research, we cold call, we email them and we sell your value proposition." — William Spengler How to Attract Top Talent: “A player is going to pick up on that confidence and is going to want to join you. If you're going to go, if you're going to talk to Lebron James and you're not confident, they're not going to take you seriously." — William Spengler Viral Topic: The Traits of Top Sales Talent: "I always think that's a red flag when a really good salesperson is paycheck to paycheck, that it's sort of a red flag." — William Spengler "It's not just about hiring someone with a shiny resume or a smooth pitch because they all seem to have that." — Jeff MainsThe Secret to Unstoppable Leadership: "It's not strategy, not charisma. It's not even luck. It's relationships. — Jeff MainsSaaS Leadership LessonsBuild for Clarity, Not Convenience:Ensure all stakeholders align on what the business truly needs from a hire before you start searching for "unicorns."Check the Hype at the Door:Don't just trust claims and shiny resumes. Take the time to verify past performance, especially for sales roles.Know Your Numbers—And Theirs:Ask candidates detailed questions about past targets and results, and verify them. Top performers are always eager to share real numbers.Prioritize Process Discipline:A clear, concise hiring process beats endless rounds every time. Do more work upfront—it pays off with better hires.Scale Operations Before Sales Explode:Investing in back office, accounting, and compliance early prevents massive headaches and cash crunches when you scale rapidly.Bet on Talent That Bets on Themselves:Seek out salespeople willing to trade high base salaries for high upside. These are often the true A-players.Guest...

With growing concerns over whether or not AI will take away jobs and eventually become superior to human intelligence, maybe it's time to take a closer look at the human brain and discover how AI will always have its limitations. Hosts and finance professors Jonathan Berk and Jules van Binsbergen sit down with Jeff Hawkins, a neuroscientist and computer scientist, whose book A Thousand Brains challenges the way we think about intelligence and how the brain works. Jonathan, Jules, and Jeff discuss the fundamentals of how the human brain operates and how it differs from the way current AI models work. They also dive into the cutting-edge innovations happening in the world of AI and whether future versions of the technology could one day emulate the human brain more closely.  Find All Else Equal on the web: https://lauder.wharton.upenn.edu/allelse/All Else Equal: Making Better Decisions Podcast is a production of the UPenn Wharton Lauder Institute through University FM. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Send us a textFriday afternoon chaos doesn't actually start on Friday. It starts Monday, when the week is designed in a way that guarantees last-minute emergencies. If your team is piling on questions at 4:47 PM Friday afternoon, it's not because they're disorganized. It's because you've built a system that rewards procrastination and punishes planning ahead.In this episode, I'm showing you how to break that cycle. You'll learn how to use AI and Automation to design a 4-day system that creates calm, clarity, and focus so Friday panic becomes a thing of the past.In this episode, you'll learn:Why your calendar is training your team to procrastinate.The mindset shift that turns you from firefighter to system designer.A simple AI-powered framework that eliminates last-minute scrambles.At a glance:[00:00] – The real reason Friday panic starts on Monday.[01:00] – How your availability trains your team to wait until last minute.[03:00] – The mindset shift: stop being available for chaos, start preventing it.[04:00] – The 4-day AI system: Monday Blueprint, Tuesday Clarity, Wednesday Warnings, Thursday Boundaries.[07:00] – Bottom line: your calendar is your culture—design it like a CEO, not a firefighter.Resources and links mentioned in this episode:10 Ways AI Will Make You a Better Leader – Free GuideWant to increase revenue and impact? Listen to “She's That Founder” for insights on business strategy and female leadership to scale your business. Each episode offers advice on effective communication, team building, and management. Learn to master routines and systems to boost productivity and prevent burnout. Our delegation tips and business consulting will advance your executive leadership skills and presence.

Julius's adaptive learning mirrors some aspects of human thinking. This may signal a move toward more relatable AI. We assess its implications.Try AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle

Zac Kennedy went from dabbling with ChatGPT to building a custom AI assistant based on his Campaign Driven Marketing playbook. In this episode, he shares how AI helps his agents 24/7, strengthens client relationships, creates winning video content, and turns simple ideas into powerful, repeatable business systems. Guest: Zac Kennedy https://www.instagram.com/thezackennedy/ https://www.youtube.com/@zackennedy https://www.facebook.com/profile.php?id=61554988092469   Host: Rajeev Sajja Rajeev Sajja on Facebook Rajeev Sajja on Instagram Rajeev Sajja on LinkedIn Rajeev Sajja on YouTube   Resources:  Agent to AIgent book on Amazon - https://a.co/d/0YxMd2Y Real Estate AI Flash Podcast Site AI Playbook Join the Instagram Real Estate AI Insiders Channel Join the Real Estate AI Academy waitlist Subscribe to the Real Estate AI Flash Newsletter

In this episode of "Masters of Risk" host Stewart Webster engages in a two-part compelling conversation with Wish Bakshi, Founder & AI Systems Engineer of AI Systems in Energy & Power. In this two-part episode they have an indepth conversation about AI data centers, digital infastructure, the complex energy systems behind them in a world where the demand is high and the risks are increasing. Wish gives us two episodes to unpack all the intricacies from grid stress and financial risk to supply chain pressurse. Tune into this insightful discussion. More S&P Global Content: Masters of Risk | Season 3 Ep. 2: AI or Not: How Do We know What is Real or Not Tariffs in Transition: The Impacts of Trade on Credit Markets - Part 1 Balancing Risks and Rewards in the EU-US Tariff Landscape - Part 2 Navigating Global and Asia-Pacific Economic Prospects Amid U.S. Policy Changes and Tariffs – Part 3 Credit Memo Automation: Where AI Meets Analyst Efficiency Credits: Producer and Editor: Alisha Rappaport Host: Stewart Webster Guest: Wish Bakshi

Richard Gearhart and Elizabeth Gearhart, co-hosts of Passage to Profit Show have this discussion with leadership and scaling coach Kenny Lange, Jen Rafferty from Empowered Educator and Whitney Dueñas Richardson from Global Sprouts.      In this episode, leadership and scaling coach Kenny Lange, reveals why so many founders unknowingly sacrifice their soul, their people, and their purpose in the pursuit of growth—and how to avoid it. If you've ever felt like success requires becoming someone you're not, this conversation will challenge and inspire you to lead differently. Read more at: https://kennylange.com/     Jen Rafferty is the founder of Empowered Educator, a research-based professional development program dedicated to supporting teacher and school leader well-being. Empowered Educator focuses on the social and emotional well-being of adults in schools, leveraging concepts of mindset, emotional intelligence, and cognitive neuroscience. Read more at: https://empowerededucator.com/     Whitney Dueñas Richardson is the founder of Global Sprouts, a children's education brand with a focus on cultural learning, creativity, and language exposure. A multicultural mom with CHamoru and Dutch roots, Whitney built her business while navigating postpartum recovery, the loss of her home to Hurricane Helene, and the challenges of starting over from scratch. Read more at: https://www.globalsprouts.com/     Whether you're a seasoned entrepreneur, a startup, an inventor, an innovator, a small business or just starting your entrepreneurial journey, tune into Passage to Profit Show for compelling discussions, real-life examples, and expert advice on entrepreneurship, intellectual property, trademarks and more. Visit https://passagetoprofitshow.com/ for the latest updates and episodes. Chapters (00:00:00) - Starting a Business(00:00:30) - Passage to Profit(00:01:38) - What Was I Thinking?(00:07:05) - Tim Ferriss: Sacrificial Souls(00:11:34) - What's Your Most Challenging Leadership Situation?(00:16:01) - Hiring Processes: Design the Head and Fit It(00:17:34) - What Is The Secret to Scaling a Company?(00:19:15) - Is there a lot of simplification that's required in order to(00:21:12) - The Investment Value of Gold(00:22:14) - The Cruise Hotline(00:23:12) - Lead to Scale: How to Avoid Burnout(00:25:58) - The Enneagram: How to Lead With Self-awareness(00:31:49) - Intellectual Property News(00:34:11) - Kenny Lang on Netflix's Copyright Lawsuit(00:39:24) - Medguard CareWatch(00:42:07) - What's Happening in the Studio?(00:44:18) - Mayo Clinic's AI System to Identify Surgery Site Infections(00:46:19) - Empowered Educator(00:47:36) - How to Talk to Yourself About Burnout(00:52:34) - Burnout and the Regulation of the Nervous System(00:55:30) - How to Recover From Burnout Through Emotional Intelligence(00:58:48) - Teachers and the Future of AI(01:02:44) - The Right Way to Teach AI(01:04:06) - Whitney Duanes Richardson on Global Sprouts(01:07:21) - Have You Got What it Takes to Teach Culture?(01:11:11) - Passage to Profit(01:12:23) - Passage to Profit: A Mother's Phone(01:13:39) - Secret to Success: The Entrepreneurial Mind(01:14:55) - Richard Gearhart on Self-Care(01:16:46) - P2P

In this episode of the Brilliance Security Magazine Podcast, host Steven Bowcut talks with Tony Garcia, Chief Information and Security Officer at infineo, about what it takes to secure AI systems and safeguard intellectual property. Tony shares his perspective on the threats companies with their own AI may face, the unique challenges of securing blockchain-driven infrastructure, and why security should be seen as a strategic business advantage.

UL NO. 496: STANDARD EDITION | New Video on Building my Personal AI System, Anthropic Reveals One-person Hacking Company using Claude, Pentagon Says China Keeps Penetrating, and more... Read this episode online: https://newsletter.danielmiessler.com/p/ul-496 Personal AI Video I'm so excited about Subscribe to the newsletter at:https://danielmiessler.com/subscribe Join the UL community at:https://danielmiessler.com/upgrade Follow on X:https://x.com/danielmiessler Follow on LinkedIn:https://www.linkedin.com/in/danielmiesslerBecome a Member: https://danielmiessler.com/upgradeSee omnystudio.com/listener for privacy information.

What happens when a Gen Z agent trades med school for million-dollar deals and scales both a real estate team and media company, all by 23? In this episode, Omer Reshid shares how he went from cold-emailing a top broker to closing his first deal in weeks. We dive into the AI tools fueling his day-to-day, from offer analysis to content creation. If you're serious about scaling smarter and faster, this episode is your blueprint. Get ready to rethink how you work, market, and win with AI. Guest: Omer Reshid Website: https://capitalcornergroup.com   Instagram: https://www.instagram.com/omerreshid_/   TikTok: https://www.tiktok.com/@omerreshid_  LinkedIn: https://www.linkedin.com/in/omer-reshid-572617194   Host: Rajeev Sajja Rajeev Sajja on Facebook Rajeev Sajja on Instagram Rajeev Sajja on LinkedIn Rajeev Sajja on YouTube   Resources:  Agent to AIgent book on Amazon - https://a.co/d/0YxMd2Y Real Estate AI Flash Podcast Site AI Playbook Join the Instagram Real Estate AI Insiders Channel Join the Real Estate AI Academy waitlist Subscribe to the Real Estate AI Flash Newsletter

A panel discussion with AI industry leaders revealing how enterprises are scaling AI today, with predictions on coming breakthroughs for AI and the impact on Fortune 500 companies and beyond.Topics Include:Three technical leaders discuss production challenges: security, interoperability, and scaling agentic systemsPanelists represent Enkrypt (security), Anyscale (infrastructure), and CrewAI (agent orchestration platforms)Industry moving from flashy demos to dependable agents with real business outcomesBreakthrough examples include 70-page IRS form processing and multimodal workflow automationMultimodal data integration becoming crucial - incorporating video, audio, screenshots into decisionsLess than 10% of future applications expected to be text-onlyCompanies shifting from experimenting with individual models to deploying agent networksNeed for governance frameworks as enterprises scale to hundreds of agentsGrowing software stack complexity requires specialized infrastructure between applications and GPUsSecurity teams need centralized visibility across fragmented agent deployments across enterprisesExisting industry regulations apply to AI services - no special AI laws neededInteroperability standards debate: MCP gaining adoption while A2A seems premature solutionMCP shows higher API reliability than OpenAI tool calling for implementationsMultimodal systems more vulnerable to attacks but value proposition too high ignoreFortune 500 company automated price operations approval process using 630 brands data87% of enterprise customers deploy agents in private VPCs or on-premises infrastructureSpecialized AI systems needed to oversee other agents at machine speed scalesCost optimization through model specialization rather than always using most powerful modelsFuture learning may happen through context/prompting rather than traditional weight fine-tuningPredictions include AI meeting moderators and agents working autonomously for hoursParticipants:Robert Nishihara - Co-founder, AnyscaleJoão Moura - CEO, CrewAISahil Agarwal - Co-Founder & CEO, Enkrypt AIJillian D'Arcy - Sr. ISV Sales Leader, Amazon Web ServicesFurther Links:Anyscale – Website | LinkedIn | AWS MarketplaceCrewAI - Website | LinkedIn | AWS MarketplaceEnkrypt AI - Website | LinkedIn | AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

AI executives from Archer, Demandbase and Highspot and AWS reveal how they're tackling AI's biggest challenges—from securing data, managing regulatory changes and keeping humans in the loop.Topics Include:Three AI leaders introduce their companies: Archer, Demandbase and Highspot's approaches to enterprise AIDemandbase's data strategy: Customer data stays isolated, shared data requires consent, public sources fuel trainingGeographic complexity: AI compliance varies dramatically between Germany, US, Canada, and California regulationsHighSpot tackles sales bias: Granular questions replace generic assessments for more accurate rep evaluationsSBI framework applied to AI: Specific behavioral observations create better, more actionable sales coachingAI transparency through citations: Timestamped evidence lets managers verify AI feedback and catch hallucinationsArcher handles 20-30K monthly regulations: AI helps enterprises manage overwhelming compliance requirements at scaleTwo compliance types explained: Operational (common across companies) versus business-specific regulatory requirementsEU AI Act adoption: US companies embracing European framework for responsible AI governanceHuman oversight becomes mandatory: Expert-in-the-loop reviews ensure AI decisions remain correctable and auditableThe bigger AI risk: Companies face greater danger from AI inaction than AI adoptionAgentic AI security challenges: Data layers must enforce permissions before AI access, not afterAI agents need identity management: Same access controls apply whether human clicks or AI actsHuman oversight in high stakes: Chief compliance officers demand transparency and correction capabilitiesFuture challenge identified: 80% of enterprise data behind firewalls remains invisible to AI modelsParticipants:Kayvan Alikhani - Global Head of Engineering- Emerging Solutions, Archer Integrated Risk ManagementUmberto Milletti - Chief R&D Officer, DemandbaseOliver Sharp - Co-Founder & Chief AI Officer, HighspotBrian Shadpour - General Manager, Security, Amazon Web ServicesFurther Links:Archer Integrated Risk Management: Website – LinkedIn – AWS MarketplaceDemandbase: Website – LinkedIn – AWS MarketplaceHighspot: Website – LinkedIn – AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

If you're a coach, blogger, or online entrepreneur struggling to make consistent income from your digital products, you're not alone. Most creators try to sell one digital product and fail because they're missing a crucial piece of the puzzle: a systematic approach that transforms low-paying customers into high-value clients. In my latest episode of The Blogger Genius Podcast, I revealed the exact AI-powered system that successful creators use to build $10,000+ monthly businesses. This isn't theory—it's the proven strategy that MiloTree users like Sarah have used to grow from 200 email subscribers to $11,000 monthly revenue in just six months. In this post, we'll unpack how to create a digital product ladder, use AI to build your entire system, and leverage MiloTree to handle all the tech without the headache. Show Notes: MiloTree Free Plan Digital Product Ladder AI Prompt (Free Download) 6 Purchasing Triggers Test Join The Blogger Genius Newsletter Become a Blogger Genius Facebook Group Subscribe to the Blogger Genius Podcast: iTunes YouTube Spotify Why Most Digital Product Creators Fail (And How to Avoid Their Mistakes) The biggest mistake creators make is building products they're passionate about instead of solving problems people actually pay to solve. Before you create anything, your digital product idea must pass what I call the “Purchasing Triggers Test.” Your product needs to do at least two of these six things: Make someone money Save them money Save them time Move them toward happiness Move them away from pain Raise their social status If your idea doesn't hit at least two triggers, don't build it. You'll waste months creating something nobody wants to buy. Let's test this with a real example: “Time Management for Busy Moms” ✅ Save them time? Absolutely ✅ Move them toward happiness? Yes (less stress, more family time) ✅ Move them away from pain? Yes (overwhelm and guilt) This passes with flying colors because it hits three triggers. The Digital Product Ladder System That Creates $10K Months Here's what successful creators understand that others don't: instead of selling one product, they build a digital product ladder. This system starts with a free valuable resource and guides customers through increasingly valuable solutions at higher price points. The magic happens when someone who downloads your free guide eventually becomes a $2,000 mastermind member. That's how you reach $10,000 monthly revenue—not by selling a million $10 products. The 6-Step Digital Product Ladder Framework Step 1: Free Valuable Resource (Freebie) Solves one specific problem Delivers a quick, tangible win Gets people on your email list Step 2: Tripwire Product ($7-$27) Small purchase on your thank-you page Naturally follows from the freebie Turns subscribers into buyers Step 3: Product Bundle ($47-$97) Combines multiple resources Provides comprehensive results Higher perceived value Step 4: Mini Course or Coaching Package ($197-$497) Structured learning experience Leads customers toward membership More hands-on support Step 5: Monthly Membership ($27-$97/month) Ongoing support and community Recurring revenue stream Builds long-term relationships Step 6: Premium Mastermind ($997-$2,997) High-touch program For serious implementers Your highest revenue generator The AI Prompt That Builds Your Entire Business Model in 30 Seconds Here's the game-changing AI prompt that creates your complete digital product ladder system. Simply go to ChatGPT (the free version works fine) and enter this prompt with your specific details: “I want to create a complete digital product ladder for [YOUR NICHE/TOPIC]. Help me design a six-step customer journey that transforms a free subscriber into a high-value customer. Step 1: Create a valuable freebie that solves one specific pain point and delivers a quick, tangible win. Step 2: Design a tripwire product that's something small I can sell on the thank-you page after someone joins my list. This product should naturally follow from the freebie and provide deeper value. Step 3: Develop a product bundle that combines multiple resources for comprehensive results. Step 4: Structure a mini course or coaching package that ultimately leads customers into joining my membership. Step 5: Design a monthly membership that provides ongoing support and community. Step 6: Create a premium mastermind or high-touch program for serious implementers. For each step, provide the product concept, main benefits, suggested price, and how it connects to the next level.”   How MiloTree Eliminates the Tech Overwhelm The biggest obstacle most creators face isn't knowing what to create—it's the technical setup. How do you actually build all this without getting overwhelmed by complicated tech? This is where MiloTree becomes your secret weapon. You can set up each step of your ladder—from your freebie to your mastermind membership—right inside MiloTree without needing a website or expensive tech tools. Why MiloTree is Perfect for Digital Product Ladders: 1. AI-Powered Sales Pages MiloTree's AI writes your sales pages for you. You use AI to create the products, then use AI to sell them. It's like having a sales team working 24/7 to move customers up your ladder. 2. Hassle-Free Setup Set up products in under 5 minutes No tech skills required AI tools handle the heavy lifting 3. Complete Delivery System MiloTree handles the delivery of your digital downloads directly to your customers. No complicated email sequences or third-party integrations needed. 4. Start for Free With MiloTree's Free Plan, you can: Sell one digital product Offer one freebie Add one social media pop-up to your site 5. With the MiloTree Grow Plan Sell digital products Offer unlimited freebies Grow your email list Build customer relationships Scale with affordable plans Your Action Plan: Start Building Your Digital Product Ladder Today Ready to transform your online business? Here's exactly what to do: Step 1: Test Your Idea Use the six purchasing triggers test. If your idea doesn't hit at least two triggers, pick a different problem to solve. Step 2: Use the AI Prompt Copy the complete digital product ladder AI prompt and run it through ChatGPT with your specific niche details. Step 3: Start with Your Freebie Don't try to build everything at once. Start with step one—your valuable freebie that gets people on your email list. Step 4: Set Up Your Tech Stack Sign up for MiloTree's Free Plan and create your opt-in page. You can have your freebie live and collecting emails within the hour. Step 5: Build Systematically Once your freebie is working, add your tripwire product, then your bundle, and so on. Build your ladder one step at a time. Free Resources to Get You Started

You ever do something 600 times in a row? That's what we're doing today. To celebrate our 600th episode, we're bringing you: 6 AI Myths You Should Stop BelievingX10 AI Systems You Must Learn and X10 AI Trends You Can't Afford to IgnoreNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Six Common AI Myths DebunkedAI as Competitive Advantage MythProductivity Gains from AI ToolsAI Copilot vs Autonomous AI AgentsEmpathy and Creativity in AI ModelsAI Job Creation vs Job LossesHuman in the Loop LimitationsTen Must-Learn AI Systems OverviewChatGPT Usage for Business LeadersGoogle AI Studio and Gemini ApplicationsImportance of Agentic Browsers and CopilotOpen Source AI Model AdoptionAI Video Platform Skill DevelopmentAI Coding Tools for Non-DevelopersEvaluating and Benchmarking AI ModelsTen Key AI Trends for 2025Digital Evidence and AI-Generated ContentThird-Party AI Chat Platform DeclineImpact of AI on Social Media AdsChanging Landscape of Web BrowsingSurge in Open Source AI SolutionsWorld Models as Next AI FrontierRise of AI-Native Consulting FirmsExplainable AI and Agentic TraceabilityAI's Influence on US 2026 ElectionsGenerative AI Impact on Remote WorkTimestamps:00:00 "Mastering AI: Myths, Systems, Trends"04:48 Exclusive AI Insights Offer07:39 AI Tools Misunderstood by Executives12:01 AI: More Empathetic and Creative13:19 "AI's Impact on Full-Time Work"17:51 Partner with Us for AI Training19:28 Essential AI Skills for 2020s22:32 "Google Gemini: Free Powerful AI Model"26:06 Copilot Access and Permissions Training29:20 Evaluating Constantly Evolving AI Models33:24 "Learn AI Coding Tools Now"37:19 "Enterprise AI Survival Prospects"40:48 Open Source's Rise Over Websites44:59 "AI Market: Speed and Accountability"48:20 AI Disrupts Work-from-Home ModelsKeywords:AI myths, generative AI, AI systems, AI trends, AI fact vs fiction, AI competitive advantage, AI productivity, AI tool deployment, Copilot, Microsoft Copilot, ChatGPT, OpenAI, Google Gemini, agentic AI, agentic browsers, AI automation, workplace AI adoption, AI training, AI business strategy, AI model benchmarking, model evaluation, modular AI solutions, Hugging Face, LLM Arena, Google AI Studio, prompt engineering, context engineerSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

It took me a long while to realize this: AI isn't just something like a chatbot for my customers. AI can work behind the scenes to facilitate getting the right stuff in front of the right people for me, even just to figure out who people are and how I should talk to them. And today, I want to share exactly what I'm doing, how expensive this is to run, and how I believe this can be part of every single software as a service business out there—even if you don't have any touchpoint with artificial intelligence in that business at all. Even if you don't think you should be offering AI features to your customers.This episode of The Bootstraped Founder is sponsored by Paddle.com — SaaS Happy Hour SeriesThe blog post: https://thebootstrappedfounder.com/the-0-20-day-ai-system-that-converts-trial-users-into-paying-customers/ The podcast episode: https://tbf.fm/episodes/the-0-20-day-ai-system-that-converts-trial-users-into-paying-customersCheck out Podscan, the Podcast database that transcribes every podcast episode out there minutes after it gets released: https://podscan.fmSend me a voicemail on Podline: https://podline.fm/arvidYou'll find my weekly article on my blog: https://thebootstrappedfounder.comPodcast: https://thebootstrappedfounder.com/podcastNewsletter: https://thebootstrappedfounder.com/newsletterMy book Zero to Sold: https://zerotosold.com/My book The Embedded Entrepreneur: https://embeddedentrepreneur.com/My course Find Your Following: https://findyourfollowing.comHere are a few tools I use. Using my affiliate links will support my work at no additional cost to you.- Notion (which I use to organize, write, coordinate, and archive my podcast + newsletter): https://affiliate.notion.so/465mv1536drx- Riverside.fm (that's what I recorded this episode with): https://riverside.fm/?via=arvid- TweetHunter (for speedy scheduling and writing Tweets): http://tweethunter.io/?via=arvid- HypeFury (for massive Twitter analytics and scheduling): https://hypefury.com/?via=arvid60- AudioPen (for taking voice notes and getting amazing summaries): https://audiopen.ai/?aff=PXErZ- Descript (for word-based video editing, subtitles, and clips): https://www.descript.com/?lmref=3cf39Q- ConvertKit (for email lists, newsletters, even finding sponsors): https://convertkit.com?lmref=bN9CZw

Most of the time, AI companies are locked in a race to the top, treating each other as rivals and competitors. Today, OpenAI and Anthropic revealed that they agreed to evaluate the alignment of each other's publicly available systems and shared the results of their analyses. The full reports get pretty technical, but are worth a read for anyone who's following the nuts and bolts of AI development. In other news, WhatsApp just introduced an AI-powered writing assistant, in case you need help with a text or whatever. The AI provides suggestions in various styles, like professional, funny or supportive. Once generated, the user can continue editing the message if required. And, Copilot, Microsoft's AI assistant that's integrated into Windows and Microsoft 365, is making the jump to your living room. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Today's guest on the ‘AI in Financial Services' podcast is Charleyne Biondi, Associate Vice President of Moody's Ratings in the Digital Economy Team. Charleyne brings a broad perspective on how AI adoption is unfolding in financial services and the wider global economy. She explains how generative AI has lowered adoption barriers, accelerating experimentation while raising new challenges around integration, risk, and reliability. While many businesses see immediate efficiency gains at the individual level, Charleyne notes that true productivity impact requires deeper organizational transformation—connecting AI to legacy IT systems, retraining staff, and ensuring secure and reliable outputs. Want to share your AI adoption story with executive peers? Click emerj.com/e2 for more information and to be a potential future guest on Emerj's flagship' AI in Business' podcast! If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

In this episode of OpenTechTalks.tv, we dive into the intricate world of conversational AI with Yam, the founder of Parland. Discover the challenges of managing complexity and uncertainty in AI systems, and explore the opportunities that arise with the advent of GPT-4 and beyond. Yam shares insights on the importance of control in AI development, the role of subjectivity in conversation design, and the potential pitfalls of overhyped expectations. Join us for a thought-provoking discussion on the future of AI and its impact on the tech industry. Sound Bites "I wanted to start my own company at that point." "How can we introduce more control into GenAI?" "We felt that things were really overhyped."   Episode # 163 Today's Guest: Yam Marcovitz, Co-founder and CEO of Parlant Yam Marcovitz is the co-founder and CEO of Parlant, an open-source platform that assists enterprises in building reliable, compliant, and predictable AI agents for customer experience. Website: Parlant What Listeners Will Learn: A journey from coder to entrepreneur highlights the evolution of AI. The challenges in programming languages stem from subjective decision-making. Control in generative AI is crucial for building reliable systems. Conversational design must consider real user behavior and preferences. Market research is essential for understanding user needs in AI. Open-source frameworks should focus on specific use cases for better utility. Managing complexity in AI conversations requires a clear separation of concerns. Mistakes in AI can have significant implications, not just in terms of frequency. New developers should seek mentorship and avoid hype-driven decisions. Understanding the landscape of AI requires practical experience and community engagement. Chapters 00:00 Introduction to Jam and His Journey 02:34 The Genesis of Parland and GPT-4 Influence 05:13 Challenges in Programming Language Design 07:59 Exploring Control in Generative AI Systems 10:39 Conversations and User Experience in AI 13:26 Building a Powerful Open Source Engine 14:57 Building Efficient AI Agents 15:53 Challenges in Complex AI Interactions 18:09 Managing AI Safety and Control 21:10 Key Learnings for AI Project Development 22:08 Understanding Uncertainty in AI Development 25:26 Addressing Hallucinations in AI Systems 27:24 Navigating the Learning Journey in AI Development  

In this episode of Unsupervised Learning, I sit down with Michael Brown, Principal Security Engineer at Trail of Bits, to dive deep into the design and lessons learned from the AI Cyber Challenge (AIxCC). Michael led the team behind Buttercup, an AI-driven system that secured 2nd place overall. We discuss: -The design philosophy behind Buttercup and how it blended deterministic systems with AI/ML -Why modular architectures and “best of both worlds” approaches outperform pure LLM-heavy -designs -How large language models performed in patch generation and fuzzing support -The risks of compounding errors in AI pipelines — and how to avoid them -Broader lessons for applying AI in cybersecurity and beyond If you’re interested in AI, security engineering, or system design at scale, this conversation breaks down what worked, what didn’t, and where the field is heading. Subscribe to the newsletter at:https://danielmiessler.com/subscribe Join the UL community at:https://danielmiessler.com/upgrade Follow on X:https://x.com/danielmiessler Follow on LinkedIn:https://www.linkedin.com/in/danielmiesslerBecome a Member: https://danielmiessler.com/upgradeSee omnystudio.com/listener for privacy information.

As AI becomes deeply embedded in every industry, building AI systems that are secure, responsible, and privacy-centric is more crucial than ever. But where do you begin? At the strategy level? Design? Or implementation? How do organizations tackle the challenges of AI risks, data governance, and compliance while keeping pace with innovation?Join us for an insightful conversation with Punit Bhatia and Santosh Kaveti, CEO of Pro Arch, as we explore the evolving landscape of responsible AI, key foundational steps, and the practical approaches to secure AI deployment.If you're looking to understand how to build AI systems that are not only innovative but also secure and trustworthy, this episode is for you!KEY CONVERSION 00:01:58 Responsible AI 00:04:30 AI Strategy 00:11:43 Role of standards and Approach 00:15:35 Good practices of Data Governance 00:19:55 AI Talent 00:23:10 Pro Arch Role in costumers 00:25:00 Contact Information of Santosh  ABOUT GUEST Santosh Kaveti is CEO & Founder at Proarch. With over 18 years of experience as a technologist, entrepreneur, investor, and advisor, Santosh Kaveti is the CEO and Founder of ProArch, a purpose-driven enterprise that accelerates value and increases resilience for its clients with consulting and technology services, enabled by cloud, guided by data, fueled by apps, and secured by design. Santosh's vision and leadership have propelled ProArch to become a dominant force in key industry verticals, such as Energy, Healthcare & Lifesciences, and Manufacturing, where he leverages his expertise in manufacturing process improvement, mentoring, and consulting. Operationalizing AI: From Strategy to Execution Navigating AI Risks: Ensuring Security and Compliance Prioritizing AI Initiatives: Aligning with Business Goals Attracting and Retaining Top AI Talent Integrating AI into Core Business Functions The Data Foundation: Governance, Quality, and Culture in AI  Santosh's journey is marked by resilience, ambition, and self-awareness, as he has learned from his successes and failures, and continuously evolved his skills and perspective. He has traveled across 23 countries, gaining insights into the global diversity and interconnectedness of human experiences. He is passionate about blending technology with a human-centric approach and making a meaningful societal impact through his support for initiatives that uplift underprivileged children, assist disadvantaged families, and promote social awareness.Santosh's ethos extends to his investments in and mentorship of promising startups, as well as his role as the Chairman of the Board at Enhops and iV4, two ProArch companies.  ABOUT HOST Punit Bhatia is one of the leading privacy experts who works independently and has worked with professionals in over 30 countries. Punit works with business and privacy leaders to create an organization culture with high privacy awareness and compliance as a business priority. Selectively, Punit is open to mentor and coach professionals.  Punit is the author of books “Be Ready for GDPR' which was rated as the best GDPR Book, “AI & Privacy – How to Find Balance”, “Intro To GDPR”, and “Be an Effective DPO”. Punit is a global speaker who has spoken at over 30 global events. Punit is the creator and host of the FIT4PRIVACY Podcast. This podcast has been featured amongst top GDPR and privacy podcasts.  As a person, Punit is an avid thinker and believes in thinking, believing, and acting in line with one's value to have joy in life. He has developed the philosophy named ‘ABC for joy of life' which passionately shares. Punit is based out of Belgium, the heart of Europe.  RESOURCES Websites www.fit4privacy.com,www.punitbhatia.com, https://www.linkedin.com/in/santoshkaveti/ , https://www.proarch.com/  Podcast https://www.fit4privacy.com/podcast Blog https://www.fit4privacy.com/blog YouTube http://youtube.com/fit4privacy   

Running a business is about building something that works without you, not just putting in the hours. But far too many entrepreneurs stay stuck in the weeds, overwhelmed by daily tasks and unclear on how to truly scale. That’s where systems—and now, AI—change everything. In this conversation, Jaryd Krause is joined by David Jenyns, founder of Systemology and author of SYSTEMology and The Systems Champion, to unpack how smart systems combined with the power of AI are transforming the way online businesses grow. David has built and sold multiple companies, helped hundreds of business owners systemize their operations, and now leads the conversation on how AI can be used not just to support teams, but to replace certain roles altogether. You’ll learn: ✔️ How to use AI to build and improve systems in your business✔️ Why experienced talent plus AI is replacing the traditional VA model✔️ How to step back from your business without losing momentum✔️ Real-life examples of AI replacing inefficiencies and boosting profits When it comes to growing your business, reclaiming your time, and creating something that endures, this episode is packed with useful strategies and steps to follow.

Alexandra McGauley is a visionary leader and one of the youngest female L8 executives in Amazon's history, achieving the rank at just 27. As an Auburn University Supply Chain Management graduate, she spent eight years at Amazon leading thousands of employees across operations, learning, finance, safety, HR, IT, loss prevention, maintenance, and engineering. In 2020, she built Amazon's pandemic training support team from the ground up, supporting the onboarding of over 150,000 essential workers. Prior to leaving Amazon, she directly led a total org size of about 100+ salaried leaders, 2800 hourly employees, and a network initiative to improve on-time customer deliveries by ~40% YoY across 33 sites.After Amazon, she led at startup unicorn, Scale AI where she designed and scaled a data labeling workforce that generated millions in ARR in less than 4 months. Alexandra then took a leap to confront systemic gaps in dataset diversity and quality by founding Erud AI. Erud AI is fully bootstrapped and profitable in under a year of operations. Erud AI is startup based in Austin, Texas, and specializes in niche fields, expert fields, and multimodal data creation for AI applications. As a business process outsourcing partner, Erud AI handles the heavy operational lift of sourcing, employing, and training AI data teams. Clients appreciate Erud AI's focus on customer service and quality. Separately, Alexandra takes on a limited number of clients as a Fractional COO to boost organization efficiency, productivity, and profitability.Alexandra is passionate about fostering diverse talent and embedding ethical frameworks into AI development across industries and applications. Listeners will value her expertise in scaling high-performing teams, operational excellence, grit and tenacity, and responsible AI data practices. Key Moments [06:06] Ethical Data Sourcing Mission [09:35] Leaving Amazon to Build My Vision [10:54] Managing Payroll for Contractors [15:31] Value of Business Cards Find Alexandra Onlinehttps://erud.ai/newsletterhttps://linkedin.com/in/amcgauleyhttps://alexandramcgauley.com If you're enjoying Entrepreneur's Enigma, please give me a review on the podcast directory of your choice. The show is on all of them and these reviews really help others find the show. iTunes: https://gmwd.us/itunes Podchaser: https://gmwd.us/podchaser TrueFans: https://gmwd.us/truefans Also, if you're getting value from the show and want to buy me a coffee, go to the show notes to get the link to get me a coffee to keep me awake, while I work on bringing you more great episodes to your ears. →  https://gmwd.us/buy-me-a-coffee or support me on TrueFans.fm → https://gmwd.us/truefans. Follow Seth Online: Seth | Digital Marketer (@s3th.me) Seth Goldstein | LinkedIn: LinkedIn.com/in/sethmgoldstein Seth On Mastodon: https://indieweb.social/@phillycodehound Seth's Marketing Junto Newsletter: https://MarketingJunto.com Leave The Show A Voicemail: https://voiceline.app/ee Learn more about your ad choices. Visit megaphone.fm/adchoices

Ready to future-proof your recruiting career in 2025? This episode of The Elite Recruiter Podcast is a no-fluff masterclass on winning with AI recruiting systems. Benjamin Mena sits down with Martin Gutierrez, business development lead at SourceWhale, to reveal how top recruiters build bulletproof systems to scale placements, automate busywork, and keep the human touch that wins clients and candidates.

The nature of Security Operations is changing. As cloud environments grow in complexity and data volumes explode, traditional approaches to detection and response are proving insufficient. This episode features an in-depth conversation with Kyle Polley, who leads the AI security team at Perplexity, about a modern blueprint for the Security Operations Center (SOC).The discussion centers on a necessary architectural shift away from traditional SIEMs, which were not built for today's scale, toward a "data lake infrastructure built for detection and response". Kyle explains how this model provides the scalability needed to handle modern data loads and enables a more effective incident response process.A cornerstone of this new model is the use of centralized AI agents. The conversation explores how these agents can be tasked with performing in-depth alert investigations, helping to reduce analyst burnout and allowing security teams to focus on more proactive, high-impact work. This approach moves beyond simple automation to create a system where AI augments and enhances the capabilities of the human team.Guest Socials -⁠⁠ ⁠⁠⁠⁠Kyle's Linkedin Podcast Twitter - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@CloudSecPod⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you want to watch videos of this LIVE STREAMED episode and past episodes - Check out our other Cloud Security Social Channels:-⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security Podcast- Youtube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠- ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security Newsletter ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠- ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security BootCamp⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you are interested in AI Cybersecurity, you can check out our sister podcast -⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ AI Cybersecurity PodcastQuestions asked:(00:00) Introduction to Kyle Polley & The Future of SOCs(01:03) The Core Argument: Why You Must Build Your SOC Before Compliance(03:34) Beyond the Certificate: The Difference Between Being Compliant vs. Secure(04:20) Today's #1 AI Threat: The Challenge of Prompt Injection(06:00) The Architectural Flaw: Handling Untrusted Data in AI Systems(08:20) The "Security Data Lake": Moving Beyond the Traditional SIEM(15:00) The Future is Now: A Centralized AI Agent for Automated Investigations(20:06) Will AI Take My Job? How AI Elevates, Not Replaces, the Security Analyst(25:20) Redefining "Shifting Left" with Personal AI Security Agents(31:00) Can AI Reason? How Modern AI Agents Intelligently Query Logs(37:05) Rethinking Incident Response Playbooks in the Age of AI(41:00) The MVP SOC: A Practical Roadmap for Small & Medium Companies(46:08) Final Questions: Maintaining Optimism, Woodworking, and Tex-Mex(50:08) Where to Connect with Kyle PolleyResources spoken about during the episode:Easy Agents: an open-source frameworkHow to give every department their own AI Agent

Understanding Agentic AI with Rita Castillo In this episode of the podcast, we dive into the fascinating world of Agentic AI with Rita Castillo, VP, Design – AI Platform Experiences. Rita illuminates how AI is becoming seamlessly woven into our daily routines, elevating automation and tackling intricate challenges. Rita deconstructs the shift from deterministic workflows to agentic systems, which can independently manage tasks while upholding ethical and security standards. We uncover the capabilities of Now Assist, the orchestrator, and specialized AI agents that unite to deliver tailored, effective, and reliable solutions. Rita also delves into the future potential of AI to unleash human creativity and propel business metamorphosis. Check out this episode for a profound dialogue on the transformative influence of AI in our professional and personal spheres. Guest - Rita Castillo, VP, Design – AI Platform Experiences Host - Bobby Brill 00:00 Introduction and Guest Welcome 03:15 Introduction to Agentic AI 05:11 Examples and Applications of Agentic AI 08:12 Autonomy in AI Systems 11:12 Deterministic Workflows and AI Learning 13:16 AI Agents and Orchestrators 17:56 Future of Agentic AI and Ethical Considerations 23:56 Large Scale Applications and Business Transformation 26:37 Conclusion and Final Thoughts ServiceNow Training and Certification: http://www.servicenow.com/services/training-and-certification.html ServiceNow Community: https://community.servicenow.com/community For general information about ServiceNow, visit: http://www.servicenow.comSee omnystudio.com/listener for privacy information.

Understanding Agentic AI with Rita Castillo In this episode of the podcast, we dive into the fascinating world of Agentic AI with Rita Castillo, VP, Design – AI Platform Experiences. Rita illuminates how AI is becoming seamlessly woven into our daily routines, elevating automation and tackling intricate challenges. Rita deconstructs the shift from deterministic workflows to agentic systems, which can independently manage tasks while upholding ethical and security standards. We uncover the capabilities of Now Assist, the orchestrator, and specialized AI agents that unite to deliver tailored, effective, and reliable solutions. Rita also delves into the future potential of AI to unleash human creativity and propel business metamorphosis. Check out this episode for a profound dialogue on the transformative influence of AI in our professional and personal spheres. Guest - Rita Castillo, VP, Design – AI Platform Experiences Host - Bobby Brill 00:00 Introduction and Guest Welcome 03:15 Introduction to Agentic AI 05:11 Examples and Applications of Agentic AI 08:12 Autonomy in AI Systems 11:12 Deterministic Workflows and AI Learning 13:16 AI Agents and Orchestrators 17:56 Future of Agentic AI and Ethical Considerations 23:56 Large Scale Applications and Business Transformation 26:37 Conclusion and Final Thoughts ServiceNow Training and Certification: http://www.servicenow.com/services/training-and-certification.html ServiceNow Community: https://community.servicenow.com/community For general information about ServiceNow, visit: http://www.servicenow.comSee omnystudio.com/listener for privacy information.

This week on Spaghetti on the Wall, we're joined by Brad Hart, founder of Optimus and Repurposefully, a mastermind architect and AI strategist who helps 7- and 8-figure entrepreneurs scale without burnout. Brad builds business ecosystems that combine relationships, automation, and smart leverage to deliver massive results. He's advised 8- and 9-figure founders, built dozens of masterminds, and helps clients integrate AI, streamline content, and regain their time.

Today's guest is Zar Toolan, General Partner and Head of Data & AI at Edward Jones, joining Emerj Senior Editor Matthew DeMello to explore how AI can be strategically aligned with corporate goals in financial services. Zar shares his perspective on overcoming barriers to AI adoption, the critical build-versus-buy-versus-partner decisions, and the human-centered change management required for scalable AI transformation. He also discusses the importance of responsible AI principles, leveraging data as a competitive asset, and evolving talent strategies to thrive in today's intelligence age. This episode is sponsored by EPAM. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the ‘AI in Business' podcast!

Today we'll talk about how AI systems, particularly the ones that do all the work for us, can both massively amplify and hinder our effectiveness. The good get better, and the bad get worse. It's a problem.This episode of The Bootstraped Founder is sponsored by Paddle.comThe blog post: https://thebootstrappedfounder.com/the-friction-paradox-why-ai-might-be-making-us-worse-at-what-we-do/ The podcast episode: https://tbf.fm/episodes/405-the-friction-paradox-why-ai-might-be-making-us-worse-at-what-we-doCheck out Podscan, the Podcast database that transcribes every podcast episode out there minutes after it gets released: https://podscan.fmSend me a voicemail on Podline: https://podline.fm/arvidYou'll find my weekly article on my blog: https://thebootstrappedfounder.comPodcast: https://thebootstrappedfounder.com/podcastNewsletter: https://thebootstrappedfounder.com/newsletterMy book Zero to Sold: https://zerotosold.com/My book The Embedded Entrepreneur: https://embeddedentrepreneur.com/My course Find Your Following: https://findyourfollowing.comHere are a few tools I use. Using my affiliate links will support my work at no additional cost to you.- Notion (which I use to organize, write, coordinate, and archive my podcast + newsletter): https://affiliate.notion.so/465mv1536drx- Riverside.fm (that's what I recorded this episode with): https://riverside.fm/?via=arvid- TweetHunter (for speedy scheduling and writing Tweets): http://tweethunter.io/?via=arvid- HypeFury (for massive Twitter analytics and scheduling): https://hypefury.com/?via=arvid60- AudioPen (for taking voice notes and getting amazing summaries): https://audiopen.ai/?aff=PXErZ- Descript (for word-based video editing, subtitles, and clips): https://www.descript.com/?lmref=3cf39Q- ConvertKit (for email lists, newsletters, even finding sponsors): https://convertkit.com?lmref=bN9CZw

In this episode, Jared Quincy Davis, founder and CEO at Foundry, introduces the concept of "compound AI systems," which allows users to create powerful, efficient applications by composing multiple, often diverse, AI models and services. We discuss how these "networks of networks" can push the Pareto frontier, delivering results that are simultaneously faster, more accurate, and even cheaper than single-model approaches. Using examples like "laconic decoding," Jared explains the practical techniques for building these systems and the underlying principles of inference-time scaling. The conversation also delves into the critical role of co-design, where the evolution of AI algorithms and the underlying cloud infrastructure are deeply intertwined, shaping the future of agentic AI and the compute landscape. The complete show notes for this episode can be found at https://twimlai.com/go/740.

In this episode of AI Basics, Jason sits down with Yoav Shoham — Stanford professor emeritus and co-founder of AI21 Labs, creators of Jurassic-2, Wordtune, and the new orchestration system Maestro.They unpack:Why enterprise AI struggles with reliabilityWhat orchestration really means (and why LLMs alone aren't enough)The pitfalls of “agent-washing”Small vs large models, agent-to-agent protocols, and where real opportunities lieThis one is for founders building with AI — if you're navigating hallucinations, chasing automation, or exploring multi-agent workflows, this episode is a must.*Timestamps:(0:00) Yoav Shoham joins Jason to discuss AI Basics.(1:05) What AI21 Labs is building — from Jurassic-2 to Maestro(5:49) The overuse and confusion of the seductive term “agent”(8:22) Small models vs large models: what's best for enterprise?(10:53) The verticalization of AI: legal, accounting, and beyond(12:17) The challenge of agent-to-agent communication and shared semantics(17:08) What's overhyped vs underhyped in AI — Yoav's advice for founders*Uncover more valuable insights from AI leaders in Google Cloud's 'Future of AI: Perspectives for Startups' report. https://goo.gle/futureofai*Explore FurtherGoogle Cloud's Report: The Future of AIGet insights from 23 leading experts on how startups can leverage AI for real business impact.

We continue with our series about building agentic AI systems from the ground up and for desired accuracy.  In this episode, we explore linear programming and optimization methods that enable reliable decision-making within constraints. Show notes:Linear programming allows us to solve problems with multiple constraints, like finding optimal flights that meet budget requirementsThe Lagrange multiplier method helps find optimal solutions within constraints by reformulating utility functionsCombinatorial optimization handles discrete choices like selecting specific flights rather than continuous variablesDynamic programming techniques break complex problems into manageable subproblems to find solutions efficientlyMixed integer programming combines continuous variables (like budget) with discrete choices (like flights)Neurosymbolic approaches potentially offer conversational interfaces with the reliability of mathematical solversUnlike pattern-matching LLMs, mathematical optimization guarantees solutions that respect user constraintsMake sure you check out Part 1: Mechanism design and Part 2: Utility functions. In the next episode, we'll pull all of the components from these three episodes to demonstrate a complete travel agent AI implementation with code examples and governance considerations.What we're reading:Burn Book - Kara Swisher, March 2025Signal and the Noise - Nate Silver, 2012Leadership in Turbulent Times - Doris Kearns GoodwinWhat did you think? Let us know.Do you have a question or a discussion topic for the AI Fundamentalists? Connect with them to comment on your favorite topics: LinkedIn - Episode summaries, shares of cited articles, and more. YouTube - Was it something that we said? Good. Share your favorite quotes. Visit our page - see past episodes and submit your feedback! It continues to inspire future episodes.

AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support.     How AI Is Transforming the Physical World | Samsara's Vision for the Future of Operations   In this episode of Eye on AI, Craig Smith sits down with Kiren Sekar, Chief Product Officer at Samsara, to explore how AI, edge computing, and IoT are revolutionizing the world of physical operations - from fleets and factories to farms and field teams.   Samsara has quietly become the digital backbone for thousands of frontline businesses, collecting trillions of data points across vehicles, tools, and teams. Kiren explains how they're building AI-powered systems that don't just collect data, they deliver real-time safety alerts, optimize routes, track fuel efficiency, and even coach drivers automatically.   Whether you work in tech, operations, or AI, this episode shows how AI is finally meeting the real world.   Check our Samsara, AI Build for Physical Operations: https://www.samsara.com/   Stay Updated: Craig Smith on X:https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI (00:00) Preview (02:01) Kiren Sekar's Background and Why Samsara Was Founded (06:38) The Real-World Impact of Samsara's AI Systems (09:04) What Changed After Samsara Went Public (11:09) How Samsara Gives Businesses Visibility Into Operations (13:08) The Hardware and Cellular Network Powering Samsara (14:13) AI to Detect Driving Risks (23:13) Tracking Every Asset: From Cranes to Toolkits (25:20) Why Even Mid-Sized Companies Can Use Samsara Easily (27:25) Regional Dashboards and AI Insights for Executives (29:57) How Samsara Decides Where to Apply AI (32:54) Can AI Read Handwritten Forms? (35:31) The AI Models Samsara Uses (39:21) What Samsara Processes at the Edge vs in the Cloud (43:00) Why Samsara Keeps Its R&D Team Small and Fast (46:35) Why Legacy Industries Are Finally Adopting AI (49:12) What Agentic AI Workflows Look Like at Samsara (54:53) What's Next: AI Voice Assistants for Field Worker  

In California, the state Senate has voted in favor of a so-called AI Bill of Rights, which would establish new guardrails around automated decision systems. To learn more about them, Marketplace's Nova Safo spoke with Kate Brennan, associate director of the think tank AI Now Institute.

In California, the state Senate has voted in favor of a so-called AI Bill of Rights, which would establish new guardrails around automated decision systems. To learn more about them, Marketplace's Nova Safo spoke with Kate Brennan, associate director of the think tank AI Now Institute.

What is “self-healing AI?” How do prediction and personalization deliver a superior ROI and enhanced user experience? In this episode, we are joined by Shirish Nimgaonkar to dive into this intriguing and revolutionary topic… Shirish is an entrepreneur, advisor, and investor who focuses his skills on software and AI. He is currently the Founder and CEO of eBliss, a revolutionary AI-driven autonomous end-user computing platform dedicated to streamlining the digital workplace – boosting operational performance, anticipating and resolving IT issues, and elevating both productivity and user satisfaction. Hit play to find out: How businesses can reduce operational costs using personalized AI. The problems that exist within different categories of devices. The ways that predictive analytics can improve productivity.  Industries that benefit from AI solutions. Shirish is a seasoned tech leader who has led and scaled high-growth software companies. He has held leadership roles at several PE and VC-backed tech firms and previously founded and led the South Asia group at a global investment bank, where he oversaw over 30 client acquisitions. Currently, he serves as an Entrepreneur in Residence at Harvard Business School and advises multiple startups. Shirish holds degrees from IIT Bombay, Stanford, and Harvard Business School. You can find out more about Shirish and his work here! Episode also available on Apple Podcasts: https://apple.co/30PvU9C