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My guest today is Neil Movva, founder of Sail. Sail is building what Neil calls a token factory, an inference company designed for a specific kind of future, one where AI agents run in the background for hours or days at a time rather than answering a human in real time. In that world, latency matters less and cost matters more, and Neil has built the whole company around driving the cost of a token as low as it can possibly go. What makes this conversation special is that it is one of the most detailed tours I have ever done through the full stack of intelligence, the software, the chips, and the power, and how all three connect. Along the way we cover the trade-off between speed and cost that lives inside every GPU, his scavenger strategy for buying the chips and power nobody else wants, his contrarian view on Nvidia, and why the premium the frontier labs charge for being three to six months ahead may not last. Please enjoy my conversation with Neil Movva. For the full show notes, transcript, and links to mentioned content, check out the episode page here. ----- Become a Colossus member to get our quarterly print magazine and private audio experience, including exclusive profiles and early access to select episodes. Subscribe at colossus.com/subscribe. ----- Ramp's mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Go to ramp.com/invest to sign up for free and get a $250 welcome bonus. ----- Trusted by thousands of businesses, Vanta continuously monitors your security posture and streamlines audits so you can win enterprise deals and build customer trust without the traditional overhead. Invest Like the Best listeners get a special offer of $1,000 off Vanta when you go to vanta.com/invest. ----- WorkOS is the infrastructure B2B and AI-native companies use to sell to enterprise. It covers everything enterprise security requires: SSO, SCIM, RBAC, Audit Logs, AI governance, and more. Trusted by 2,000+ fast-growing companies, including OpenAI, Anthropic, Cursor, and Vercel. ----- Rogo is the AI platform for finance. They're building agents for Wall Street that are trained to understand how bankers and investors actually do work: from diligence and modeling, to turning analysis into deliverables. To learn more, visit rogo.ai/invest. ----- Ridgeline has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. Visit ridgeline.ai. ----- Editing and post-production work for this episode was provided by The Podcast Consultant. Timestamps: (00:00:00) Welcome to Invest Like The Best (00:02:20) Neil Movva (00:03:22) Building a Token Factory (00:05:32) The Rise of Long-Running Agents (00:08:47) Deep Research and Cybersecurity (00:15:12) The Full Stack of Intelligence (00:20:03) Throughput Versus Latency (00:24:58) The Future of AI Chips (00:33:19) Why Transformers Work (00:36:43) The Future of Data (00:44:05) The Market for AI Chips (00:47:56) Is the AI Boom Different? (00:51:08) Reinventing the Data Center (00:56:43) Scavenging Power (01:01:04) Where Compute Is Most Inefficient (01:07:02) Open Versus Closed Models (01:10:37) A Trillion Tokens a Day (01:12:42) The Contrarian Case on NVIDIA (01:14:38) Advice for AI Hardware Founders
The best AI model in the world just scored 18.1%. On Zapier's own benchmark for real business work — the cross-app tasks any white-collar worker does every day — even the top frontier model completes them barely one time in five. That's the number Wade Foster keeps pointing at, and he runs an automation company that stands to gain from the hype. Instead, he makes the case for what actually works right now: not turning a model loose, but blending deterministic workflows with agents where each is strong.In this episode of Talking AI, Matt Paige sits down with Wade Foster, co-founder and CEO of Zapier, who built a scrappy Y Combinator startup into the $5 billion plumbing of the SaaS era on barely a million dollars raised. Foster called a company-wide “code red” the week GPT-4 launched, and he's spent the years since rewiring how Zapier — and its customers — actually use AI.The conversation covers why he shut the company down for a week in 2023, how AI habits actually stick, what Zapier's AutomationBench reveals about the gap between benchmark scores and real-world reliability, why coding models improve faster than knowledge-work models, how to tell a workflow from an agent, and the difference between individual AI and the institutional AI almost no company has cracked.In this episode, you'll hear about:The three things about GPT-4 that triggered Zapier's first-ever code redHow daily AI use jumped from 11% to over 50% in a single hackathon weekThe moves that make AI habits stick: show-and-tell, repeat hackathons, and “not yet”Why the best model on AutomationBench still scores only 18.1%Why coding is easy to verify — and subjective knowledge work isn'tThe power of hybrid setups that blend deterministic workflows with agentsWade's prediction: most tokens on open-source models, most spend on the frontierWhat actually makes a good eval — hard for models, easy for humans, private dataA plain-English definition of an “agent” versus a deterministic workflowThe daily recap workflow Wade thinks everyone is sleeping onFloor raisers vs. ceiling raisers — and why individual AI isn't enoughWhy the six-month product roadmap is deadKey Moments00:04:40 — Making AI habits stick: show-and-tell and repeat hackathons00:06:38 — Differentiation when AI is best at the thing you sell00:09:34 — AutomationBench: the best model scores just 18.1%00:11:31 — Why the top model stalls: verifiable code vs. subjective work00:14:19 — Getting squeezed on both sides: AI in the company and the product00:15:20 — Model efficiency, Coinbase, and the token-maxing debate00:17:18 — What makes a good eval00:19:30 — What actually counts as an “agent”00:23:12 — Iterating on workflows with your own mini-evals00:26:15 — The kind of worker thriving right now00:27:36 — Wade's favorite workflow: the daily recap00:30:44 — Floor raisers vs. ceiling raisers for AI adoption00:34:55 — From individual AI to institutional AI00:37:58 — Why the six-month roadmap is deadKey Links:ZapierConnect with Wade on LinkedInMentioned in this episode:AI Opportunity FinderFeeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you'll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action.
Today, we have a special guest on the Code Story podcast - Patrick Vuong, Director of Product at Moderne. Moderne is the agent tools company, building the. Knowledge, discovery and execution tools that AI agents rely on - so they can operator faster, more accurately, and at far lower cost.In today's episode, Patrick is going to tell us about the company, and how Moderne is enabling developers to build software faster, and with the best context - using agents and agent tools. Their approach to semantic models produce deterministic over probabilistic, or inference driven, tools, which for this engineer/host, has been a point of skepticism for AI since the beginning.QuestionsTell me and my audience a little bit about you.What is Moderne?Moderne is enabling developers to operate software systems at the speed of agents. Tell me about this product suite.Why do Agents need tooling? Where do we see AI in ROISomething jumped out at me... you mentioned you are not only building tooling for agents that are deterministic.As we peer into tech stacks across the industry, where does Moderne fit?OK so this is clearly a pivot for Moderne. With this, who are your customers now?What does the future like for your product - what you offer - and your team?For you personally, you are entering into a new chapter with Moderne. What makes you most excited, going from Microsoft to entering the startup world with the company?In your journey, who has influenced the way you work? Tell me about a person, or many persons, or something you look up to and why.So you worked at Microsoft for 8 years, and are now transitioning to Moderne. Say you were getting on a plan and sitting next to someone about to make this same transition - what advice would you give them?SponsorsUnblockedTECH DomainsMezmoBraingrid.aiLinkshttps://www.moderne.ai/https://www.linkedin.com/in/vuongpatrick/Checkout our episode stacks on Stacklist! https://stacks.codestory.co/ Hosted by Noah Labhart | Technical Founder & Startup Mentor.Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy
Lawyers may soon spend less time opening applications, and more time simply telling AI what needs to happen next. In episode 630 of the Lawyerist Podcast, Zack Glaser talks with innovation strategist Sam Harden about the rise of agentic AI and how tools like ChatGPT Work and Claude Cowork could reshape the way legal professionals work. Unlike a traditional chatbot, an agentic system can operate within a workspace, analyze groups of files, create and update documents, develop plans, and connect information from different sources. That could allow lawyers to access emails, calendars, case materials, research, and practice management information through a single working interface. Zack and Sam discuss what this means for law firms filled with open Word documents, browser tabs, PDFs, research databases, and disconnected software. They also challenge the idea that AI should perform the most sophisticated legal reasoning while lawyers clean up the formatting. Instead, AI should take on the repetitive administrative work so lawyers can operate at the top of their licenses. If you want to understand where legal AI is heading beyond prompting and summarization, this episode offers a grounded look at the tools, opportunities, risks, and experiments shaping the next phase of legal work. Listen to our previous episodes on Agentic AI, Law Firm Workflows & the Future of Legal Work. #620: What Claude Means for Law Firms, Part 2: Using AI to Practice at the Top of Your License, with Sam Harden Apple | Spotify | LTN #619: What Claude Means for Law Firms: AI Skills, Connectors, and Workflow Strategy, with Sam Harden Apple | Spotify | LTN #601: Beyond Chatbots: Using Agentic AI in Law Firm Intake, with Matt Spiegel Apple | Spotify | LTN #581: Agentic AI for Lawyers: Moving Beyond Enhanced Search, with Drew Bloom Apple | Spotify | LTN #577: Rethinking Law Firm Growth in the Age of AI, with Sam Harden Apple | Spotify | LTN Have thoughts about today's episode? Join the conversation on LinkedIn, Facebook, Instagram, and X! If today's podcast resonates with you and you haven't read The Small Firm Roadmap Revisited yet, get the first chapter right now for free! Looking for help beyond the book? See if our coaching community is right for you. Access more resources from Lawyerist at lawyerist.com. Chapters / Timestamps 00:00 – Introduction 00:18 – What the World Cup Teaches About Professionalism 05:19 – Meet Sam Harden 06:25 – The “Claudification” of ChatGPT 08:15 – From Chatbot to Agentic Workspace 10:35 – Why ChatGPT Is Following Claude 13:00 – The Shift from Asking to Delegating 14:00 – What Agentic AI Actually Means for Lawyers 17:40 – Making AI the Interface for Legal Work 19:10 – The Future Surface of Work 23:30 – When Your Phone Becomes Your Workspace 25:35 – How Agentic AI Could Transform Law Firms 26:45 – Letting AI Handle the Legal Busywork 29:20 – Operating at the Top of Your License 31:15 – AI Should Format the Work, Not Make the Judgment 34:30 – How Lawyers Can Start Experimenting Safely 37:25 – Closing Thoughts
In this episode of The Business of Open Source, I talked with Joshua Drake, president and CTO of Command Prompt, about business management, bootstrapping versus taking investment, and AI, open source and open source businesses. This episode is a real no-bullshit take on how human psychology influences how leaders behave, how people identify with open source ecosystems and specific technology, and how people in open source should focus more on the outcomes that they want to achieve for clients or for their company rather than making their identity about being an open source developer or a postgres developer.He says everyone — not just entrepreneurs, but technologists in open source communities in general — need to focus on outcomes and build their identities around those outcomes, rather than around a specific technology. This goes for people whose identities are completely connected to open source. What's important, that the license is OSI-approved, or that you are a person who builds software collaboratively? What's important, is it the lines of code or is it the people in the community? This episode has a lot of gems; it will be useful for seasoned entrepreneurs as well as aspiring ones. ###If you're listening to this and you want to go deeper on the human side of building open source companies, check out Open Source Founders Summit, a conference dedicated to building open source companies. As a consultant, I'm also focused on outcomes for clients rather than hours in a chair. What are the outcomes I get? A streamlined product roadmap that's focused on what matters to your ideal customers, higher conversion rates from your sales conversations and shorter sales cycles. Find out more about working with me here.
Somewhere along the way, PR research came to mean a survey reverse-engineered to confirm whatever the client had already decided to say. Real research, the slow and expensive kind, stayed with the academics, because nobody on the agency or client side had the hours. So what happens when the cost of doing it right collapses? In this episode of The Trending Communicator, host Dan Nestle sits down with Rich Gallagher, Head of Comms Innovation at Brands2Life, whose answer to that question was to write the code himself. Each of his research reports started as something close to a dare — watch a month of business television, read every business-section story in three national papers, listen to a year of back catalog across 96 podcasts — and each came back with a number worth having, like the 12% of those shows actually built for the privately held companies his clients run. That method is the easy part to admire and the wrong part to copy, and the conversation goes well past it. Rich and Dan get into why curiosity has always been the one non-negotiable trait in a good PR person, and why for the first time there's something like a metric for it. They work through The Rise of Indie Journalism, Rich's study of 32 tech journalists who walked away from traditional mastheads and took their audiences with them. They dig into why generative engine optimization is quietly making niche trade coverage more valuable than a one-line mention in a marquee outlet, and what media relations turns into when it stops being a tier-one scavenger hunt. Rich also shares the app his team built to score World Cup managers on how hard they lean on clichés, and the uncomfortable pattern it surfaced about losing coaches. Listen in and hear about... Making AI watch a month of business television through closed captions The 96-show podcast audit and why only 12% were worth a pitch The Rise of Indie Journalism: 32 reporters, portable audiences, and the opportunity most brands are ignoring Why curiosity finally has something resembling a measurement How GEO is lifting niche and vertical media over marquee one-liners What clichés in a post-match press conference reveal about crisis response Notable Quotes from Rich Gallagher "You watch every single hour of market-day television on the three major business broadcast networks for a month? Like, no, of course not. That's like a Geneva Convention violation to force someone to do that. But now we have tools. You can scrape the closed caption for the hearing impaired and effectively make the AI watch the show." [07:16 → 08:01] "The challenge is you can't read everything all the time. But what if you could? And now that you have AI, you can. We can analyze all these things at a scale that doesn't exist even inside a very big agency, where you can not only make sure you're reading every single business section story that runs that quarter, but reading it with the same eyes." [33:06 → 33:47] "The most important thing for a successful PR person is curiosity. Really being genuinely interested in uncovering what's special about what your clients do. And it's kind of funny, because there's never really been a good metric for curiosity, and now we have it." [40:38 → 41:26] "I don't necessarily subscribe to 'media relations is dead.' But it kind of goes into a chrysalis and emerges as a beautiful butterfly every couple of years." [52:46 → 53:27] Resources and Links Dan Nestle Lilypath | Website The Trending Communicator | Website Communications Trends from Trending Communicators | Dan Nestle's Substack Dan Nestle | LinkedIn Rich Gallagher Brands2Life | Website Rich Gallagher | LinkedIn Princeton Narrative Lab | Website Expected Cliche Tracker | Website The Brands2Life Research Reports The Tech Podcast Opportunity for Privately Held Companies Breaking Through in Broadcast The Rise of Indie Journalism Timestamps 0:00 Intro: real research and its counterfeit cousin 2:33 Two nerds, two girl dads, one Princeton zip code 4:16 The ADP employment report and data a company already had 5:33 Moat, ad spend, and the run-up to 2016 7:16 "Make the AI watch the show" — Breaking Through in Broadcast 10:51 Predictive analytics the hard way: 150 hours, then 30 seconds 13:04 Why the AI policy came before the research 15:16 Three newspapers, three paywalls, three automations 15:57 Testing whether the AI actually read it 17:28 Podcast transcripts and the wild west of captions 19:56 Claude Code, Cowork, and what changed 22:53 Thirty sub-agents that never lose their place 26:06 Where deep research helps and where it stops 29:09 The Tech Podcast Opportunity: 96 shows and the 12% that mattered 31:32 Where the questions come from in the first place 38:13 The human-in-the-loop sandwich 40:38 Curiosity as the differentiator — and finally a metric 43:19 The Rise of Indie Journalism: Substack, Ghost, and Beehiiv 46:20 Velvet Underground economics and portable audiences 49:00 Media relations, dying or molting 55:27 Why GEO makes vertical media solid gold 59:17 Authority when the entity is a person, not a website 1:01:46 The cliché tracker, hot IPO summer, and what's next 1:05:04 Where to find Rich (Notes co-created by Human Dan, Claude, Fireflies, and Riverside) Learn more about your ad choices. Visit megaphone.fm/adchoices
In this episode of Future Finance, hosts Paul Barnhurst and Glenn Hopper welcome Robert Collie, founder and CEO of P3 Adaptive, for a conversation about artificial intelligence, data analytics, and how finance professionals can prepare for the future of work. Robert shares his journey from helping build Power BI at Microsoft to founding P3 Adaptive and explains why AI is creating both disruption and new opportunities for finance and data professionals.Robert Collie is the founder and CEO of P3 Adaptive, a Microsoft analytics and AI consulting firm. During his 13 years at Microsoft, Robert helped lead the development of Power Pivot and Power BI. He is also the author of the bestselling Power Pivot and Power BI book and hosts the Raw Data with Rob Collie podcast. His upcoming book, Fair Game: Customizing AI to Your Business is Easier Than You Think, explores how organizations can make AI practical and accessible.In this episode, you will discover:How Power BI and Power Pivot changed the way organizations use data.Why AI is creating new opportunities for finance and data professionals.Why sitting still with current skills can create career risks.How companies can build AI systems using strong data foundations.Why semantic models are becoming essential for AI adoption.Robert brings decades of experience in business intelligence, analytics, and AI, sharing practical lessons on how finance leaders and data professionals can adapt, learn, and create value in a rapidly changing environment.Follow Glenn:LinkedIn: https://www.linkedin.com/in/gbhopperiiiFollow Paul:LinkedIn: https://www.linkedin.com/in/thefpandaguyFollow Robert:Website: https://p3adaptive.com/Book: https://fairgamebook.ai/LinkedIn: https://www.linkedin.com/in/robcollie/In Today's Episode:[00:00] – Trailer[00:00] – How AI is changing jobs[02:43] – Robert's Microsoft journey[06:06] – Power BI and Power Pivot impact[11:25] – Leaving Microsoft for P3 Adaptive[15:43] – AI and the future of data work[19:33] – Making AI accessible[25:13] – AI tools and better workflows[31:11] – AI in career planning[33:38] – AI changing finance and consulting[35:16] – Why semantic models matter[38:35] – Building a strong company culture[40:34] – Robert's AI book and future plans
If Claude keeps missing the point, it's not the tool. It's that your business only exists in your head, in old Slack threads and in a VA who's been carrying the load for years.In this episode:Why AI keeps getting it wrong - and it's rarely the tool's faultWhat already exists in your Slack, Asana and Drive that you can hand straight to Claude - no blank page requiredThe two-part system I'm building with a 7 year client - one place that indexes everything, one place that holds itWhy letting AI write all your SOPs will cost you your voiceHow to turn documentation into an hour a week, not a day you never get toAction step:Pick one department in your business. Open Claude and ask it to comb through your Slack, Asana and Drive for anything recurring - a task, a conversation, a process. Don't ask it to write final SOPs yet. Just get it to show you what already exists.Loved this episode? Don't miss out!
Every so often, a conversation cuts through the noise and gets to the heart of what education leadership demands right now. This is one of those conversations.In this episode, Dr. Michael T. Conner is joined by Dr. Rick Fernandez, former superintendent, former high school principal, Chief Growth Officer at BlueKit Software, and co-host of the Boyz of EdTech podcast, for a powerful discussion on leadership, data, competition, and the future of learning.Dr. Fernandez brings a grounded, unfiltered perspective on the realities facing school districts today. From the pressure of school choice and vouchers to the blind spots hidden inside district data, he challenges leaders to think more honestly about what their systems know, what they assume, and what families are really asking for.This is not a surface-level conversation about trends. It is a call for sharper thinking, stronger systems, and a deeper commitment to preparing students for a future already being reshaped by artificial intelligence. Dr. Conner and Dr. Fernandez move with urgency, humor, and candor through the kinds of questions education leaders cannot afford to avoid.If you are a superintendent, principal, district leader, educator, or anyone invested in the future of public education, this episode will push your thinking and leave you with plenty to sit with.Dr. Fernandez's challenge for the next generation comes down to three words: curiosity, consistency, and entrepreneurship.
Most AI agent conversations start with what the agent can do. Very few focus on how you manage, monitor, and trust those agents once they're in production. At Cisco Live, I sat down with Kamal Hathi, SVP & GM of Splunk at Cisco on The Ravit Show, to discuss what enterprises need beyond AI models to make agents reliable, secure, and trustworthy.A few key takeaways from our conversation:* Moving AI agents from demos to production requires visibility into how they operate, make decisions, and interact with enterprise systems.* As organizations deploy more agents, observability becomes critical. Without it, AI can quickly become a black box.* Data remains one of the biggest challenges. Enterprises are looking for ways to reduce tool sprawl while maintaining a unified view across their environments.* Security and observability are no longer separate conversations. The faster teams can connect operational issues with security events, the faster they can respond.* Making AI accessible is important, but governance cannot be an afterthought. Innovation and control must go hand in hand.One thing that stood out to me:The future of AI isn't just about building smarter agents. It's about creating the trust, visibility, and governance needed to operate them at enterprise scale. Great conversation with Kamal on the next phase of enterprise AI and the role observability will play in making it successful.#data #cisco #ciscolive #ai #theravitshow
Episode Summary Most people believe they know how to use AI—but are they simply treating ChatGPT like a replacement for Google? In this episode of The EdTech Podcast, Philippa Wraithmell speaks with Joshua, Co-founder and CEO of Mindstone, about what genuine AI competency looks like and why successful AI transformation depends far more on people, behaviour and organisational culture than technology. Joshua shares his journey from launching his first company as a teenager to co-founding SuperAwesome, the child-safety technology company later acquired by Epic Games. He explains how this experience shaped his thinking about digital safeguarding, parental responsibility and the need to help children engage with technology gradually, rather than attempting to protect them through blanket bans. The conversation explores why simply inserting AI into existing tasks rarely delivers meaningful value. Joshua argues that the real opportunity lies in changing how we approach work: asking AI to question us, challenge our assumptions, identify blind spots and support our thinking rather than outsourcing it. They also examine the widening AI skills divide. As experienced users build years of personal context, workflows and AI agents, those who delay may find themselves increasingly disadvantaged. This has major implications for workplaces, schools and universities—particularly when many institutions still respond to AI through prohibition rather than education. From leadership and workforce transformation to safeguarding, sustainability misconceptions and the future of employment, this episode asks an important question: are we preparing people to use AI well, or simply giving them access to the tools? Key Topics What genuine AI competency looks like Why most people are using generative AI incorrectly Using AI to enhance rather than replace human thinking Why AI transformation is a people and behaviour-change challenge The responsibility of senior leaders during AI adoption The growing inequality between experienced and inexperienced AI users Why banning AI in schools can encourage secretive and inappropriate use Building safer, age-appropriate pathways into AI and social media The role of parents, governments and technology companies in safeguarding Misconceptions surrounding AI's environmental impact How AI agents are changing productivity and cognitive workload Preparing people for disruption across employment and education Chapters 00:00 – Welcome and Introduction to Joshua Joshua introduces Mindstone and its work helping non-technical teams use generative AI more effectively. 01:04 – Building a Business at Sixteen From creating websites for family connections to managing a team of students building technology for private banks. 02:08 – Early Start-up Lessons Joshua reflects on a failed start-up, turning down investment and the lessons that led to his next venture. 03:17 – Building SuperAwesome and Protecting Children Online How SuperAwesome developed advertising, privacy and verified parental-consent technology for global children's brands. 04:47 – Safeguarding, Regulation and Parental Responsibility Why Joshua believes governments must avoid removing parental agency when introducing online-safety regulation. 06:46 – Education, Curiosity and Challenging Authority Joshua discusses his school experiences, constant questioning and learning across six different school models. 10:04 – Why Joshua Founded Mindstone The transition from Epic Games into education, learning science and the future of workforce skills. 13:07 – When Skills Expire Before Degrees Are Completed Why the declining half-life of workplace skills raises fundamental questions about traditional education. 14:04 – ChatGPT Changes the Direction of Mindstone How generative AI transformed both the learning process and the skills likely to matter in the future. 15:28 – Why Most People Do Not Know How to Use AI Joshua explains why frequent ChatGPT use does not necessarily equal AI competency. 17:24 – ChatGPT Is Not a Search Engine Why treating AI as a Google replacement represents one of its least valuable applications. 18:17 – AI, Water and Energy Misconceptions A discussion about environmental claims, data centres and the importance of understanding evidence and scale. 20:45 – Stop Asking AI for Answers Joshua shares a simple technique: ask AI to question you, uncover blind spots and strengthen your thinking. 22:09 – Treating AI as a Conversation Why users should refine, challenge and continue the interaction rather than abandoning AI after one poor response. 24:10 – AI as a Digital Chief of Staff How accumulated context allows AI to understand preferences, decisions and working patterns more effectively. 25:04 – The Emerging AI Inequality Gap Why users who have spent years building AI systems and context may gain a compounding advantage. 26:54 – Why School AI Bans Are Failing How prohibition can drive AI use underground and encourage learners to outsource rather than demonstrate their thinking. 27:23 – Making AI the Baseline for Learning Why students should be expected to show how they improved upon AI-generated work rather than pretend the technology does not exist. 30:47 – AI Transformation Begins with Leadership Why executive teams must understand and use AI before asking the rest of an organisation to change. 33:11 – AI Is a People Problem The case for moving AI transformation from the chief technology officer to the chief people officer. 33:40 – Why Online Training Alone Does Not Change Behaviour How live demonstrations, personalised learning and practical workplace applications support meaningful adoption. 36:19 – Champions, Laggards and Organisational Change The role of internal champions, visible success stories and sustained momentum. 38:05 – Reclaiming Time for Meaningful Work How AI can reduce administrative burden and allow people to focus on the work they value most. 39:12 – The Safeguarding Knife Edge Joshua considers how children can gradually gain independence while parents retain appropriate visibility and support. 42:38 – The Problem with Digital Cliffs Why completely restricting children until a set age may leave them unprepared for the realities of online life. 44:38 – Technology Cannot Replace Parenting Lessons from SuperAwesome about parental consent, responsibility and the limitations of technical safeguards. 47:44 – Jobs, Robotics and the Next Decade Joshua shares an optimistic but honest view of significant employment disruption and rapid technological progress. 49:15 – AI Agents and 'Brain Fry' Why delegating routine work to AI can leave humans completing only the most cognitively demanding tasks. 50:48 – Becoming More Human in an AI World The opportunity to rethink work, protect time and make greater space for creativity, relationships and life beyond productivity. Mindstone Want to boost productivity by training your non-technical staff to use AI? Sign up for Mindstone's AI Competency Programme, or join one of the world's largest practical AI communities, with in-person events taking place every month around the world. AI Competency Programme: mindstone.com/enterprise Community and Events: community.mindstone.com/events
Everyone knows that rural health care systems are stressed: costly populations, low reimbursements, staffing shortages, transportation problems—and the 900 billion to one trillion dollar cuts upcoming in Medicaid will severely add to those stresses. But rural providers also have advantages when it comes to the chances for transformation. In a recent video interview, we explore the opportunities in rural health, particularly the use of technology for value-based care with Pranam Ben, Founder & CEO at The Garage and Brittany Sachdeva, COO at Cibolo Health.Learn more about The Garage: https://www.thegaragein.com/Learn more about Cibolo Health: https://cibolohealth.com/Healthcare IT Community: https://www.healthcareittoday.com/
What happens when product leaders stop talking about AI theory and start sharing what's actually working?In this special Product Rebels episode, Vidya Dinamani and Heather Samarin unpack insights from four AI roundtables with CPOs, VPs, and product leaders. They explore AI slop, ROI challenges, role anxiety, rapid prototyping, and why judgment, customer insight, and product fundamentals matter more than ever in an AI-driven world. The future of product management may be changing, but its core purpose remains the same.
This week, Mike Weisberg of Implement explains how AI is improving sales forecasting through trust, purpose, and accuracy, while reshaping the planner's role, reducing inventory bias, and separating prediction from human judgment.Download the episode transcript===== In this episode, Mike Weisberg shares practical guidance on using AI in sales forecasting, including the right data foundation, six implementation dogmas, and explainable models. He also outlines how planners evolve into business partners and why judgment still matters most. ===== Guest: Mike Weisbjerg, Partner, Implement Consulting GroupMike is a Partner at Implement Consulting Group, where he has spent the last decade working at the intersection of supply chain planning and technology. He specialises in demand planning and AI-driven forecasting and decision making. With a focus on implementing demand planning solutions, Mike helps organisations move AI from proof of concept to production - with forecasts that planners actually trust.Host 1: Richard HowellsRichard Howells has been working in the Supply Chain Management and Manufacturing space for over 30 years. He is responsible for driving the thought leadership and awareness of SAP's ERP, Finance, and Supply Chain solutions and is an active writer, podcaster, and thought leader on the topics of supply chain, Industry 4.0, digitization, and sustainability.Host 2: Oyku Ilgar, SAP Oyku Ilgar is a marketer and thought leader specializing in SAP's digital supply chain and ERP solutions since 2017. As a marketer, blogger, and podcaster, she creates engaging content that highlights innovative SAP technologies and explores key topics including business trends, AI, Industry 4.0, and sustainability. She holds dual bachelor's degrees in Finance & Accounting and English Translation, along with a master's degree in Business Administration and Foreign Trade, specializing in marketing. With her background in digital transformation, Oyku communicates technology trends and industry insights to help professionals navigate the evolving business landscape. ===== Show Links:Implement Consulting Group. LinkArticle: Beyond accuracy: Six dogmas for turning AI forecasting into real business valueSupply Chain Management: SAP Supply Chain Management SAP Insights: Supply Chain Follow Us on Social Media : Richard Howells: LinkedIn, Oyku Ilgar: LinkedIn SAP Digital Supply Chain: LinkedIn Please give us a like, share, and subscribe to stay up-to-date on future episodes! ===== Chapters:00:00:00: Intro00:01:06: Guest's Introductions00:02:05: Why traditional forecasting struggles in volatile markets00:03:25: The three fundamentals: trust, purpose, accuracy00:07:03: Which data matters most for AI forecasting00:10:12: Why bad data should not delay AI adoption00:13:26: The six dogmas for AI forecasting implementation00:14:38: The evolving role of the demand planner00:16:54: Measuring success beyond forecast accuracy00:18:35: How can Implement help companies in this latest AI-infused planning era?00:19:36: What is the Future of Supply Chain?00:20:17: Outro
In this episode, Jawad Khan, Vice President, Enterprise Analytics, Akron Children's, discusses how healthcare organizations can move beyond AI pilots to build trusted, scalable capabilities that improve clinical workflows and decision-making.
In this episode, Jawad Khan, Vice President, Enterprise Analytics, Akron Children's, discusses how healthcare organizations can move beyond AI pilots to build trusted, scalable capabilities that improve clinical workflows and decision-making.
AI has moved far beyond experimentation, but many organizations are still figuring out what happens when it becomes part of everyday work. In this episode of That Tech Pod, we sit down with Meredith Kildow, President of Consilio, to explore what it really takes to operationalize AI at scale.Drawing on more than 25 years of experience spanning sales, consulting, operations, and executive leadership, Meredith shares a practical perspective on why successful AI adoption is less about technology and more about ownership, process design, culture, and execution. We discuss the difference between running AI pilots and embedding AI into mission-critical workflows, why many organizations struggle to translate productivity gains into measurable business outcomes, and how leadership teams should think about accountability when AI becomes part of the workforce.The conversation also examines AI's impact on consulting and professional services, where efficiency gains can fundamentally reshape how value is delivered to clients. Meredith offers insights into the common mistakes organizations make when they try to solve people and process challenges with technology alone, the growing complexity that can come with increased automation, and what today's leaders may be misunderstanding about AI's long-term role in business.This episode is a candid look at the operational realities of AI adoption and why the companies seeing the greatest results are focusing as much on people and culture as they are on the technology itself.Meredith Kildow is an accomplished operations and sales executive with more than 25 years of experience across multiple industries. Her areas of expertise include expanding go-to-market strategies and bringing high performing teams together through both organic and inorganic growth. Meredith is a champion of combining data-driven approaches with an emphasis on people, culture, and transformation to grow motivated, balanced teams. As President, Meredith is focused on driving excellence in Consilio's combined commercial business lines, including revenue, account management, and operational delivery across their global client base.
AI can finally write back to the plant floor, but only if you can trust it. Chris Stevens and Annemarie Breu of Siemens explain how orchestration makes that safe.Industrial AI has reached a turning point. Manufacturers can already collect data, contextualize it, and surface insights, but the hardest step has always been turning insight into action on real control equipment. Chris Stevens and Annemarie Breu of Siemens explain how an orchestration layer finally closes that loop. Annemarie frames the tension clearly. Automation depends on determinism, while large language models are probabilistic by design, so the goal is to bring that discipline into AI and validate any suggestion before it changes a set point.Most executive conversations start with return on investment, and two forces are making the case easier to prove. The workforce shortage has stretched the expected payback window from 18 months toward 36 months, and when a line cannot run for lack of people every idle minute costs thousands of dollars. The other driver is overall equipment effectiveness, since most plants run near 70 percent OEE and even a fraction of a percent of gain can justify a project. Energy is a standout case too. A BorgWarner sustainability effort used a digital twin to flatten demand peaks and reportedly paid for itself in under six months, even as data center growth pushes electricity demand higher through 2040.On trust and safety, Annemarie borrows a principle from industrial safety. Just as fail safe IO modules rely on two channel evaluation, every AI suggestion is validated against a state machine, a workflow, or a physics based digital twin before the orchestration layer passes it to a controller. With virtual commissioning and soft PLCs a change can be tested virtually, approved by a human in the loop, and only then written to control, an approach PepsiCo and NVIDIA echoed at CES when they called the digital twin a must have. Making AI real, the pair argue, comes down to discipline, clear scope, acceptance criteria, and focused 90 day challenges, plus the change management and user experience that drive adoption. Their favorite quick win is preventive maintenance driven by machine data, which both BorgWarner and Maersk tied to millions in savings.About Chris StevensChris Stevens is President of US Automation at Siemens, where he leads a roughly one billion dollar business spanning software, services, and hardware. He brings more than 25 years across Siemens Digital Industries, starting in the field selling assembly and test equipment, moving into the software and digital twin world, and returning to automation to bring the hardware and software sides of the business together.About Annemarie BreuAnnemarie Breu is a senior technology leader at Siemens Digital Industries focused on automation software deployment and customer technology partnerships in the US. She began at Siemens about a decade ago as a systems engineer in the San Francisco Bay Area, working with consumer electronics manufacturers on virtual commissioning and digital twins. Her work today centers on bringing the determinism and reliability of automation into industrial AI.Timestamps0:00 Introduction and Automate 2026 preview2:50 Meet Chris Stevens and Annemarie Breu9:30 The first AI question is always ROI14:00 Workforce gaps and OEE drive the business case19:30 Energy management and the data center demand surge23:20 Data, sensors, and contextualization requirements28:00 Guardrails, hallucinations, and two channel validation32:40 The digital twin and the human in the loop37:40 How partners and integrators move up the stack45:30 What it takes to make AI real on the floor55:50 Preventive maintenance as a quick win59:40 Predictions, career advice, and book picksAbout Your HostsVladimir Romanov is a co-host of The Manufacturing Hub Podcast and the founder of Joltek, an independent manufacturing and industrial automation consulting firm specializing in modernization strategy, digital transformation, and workforce development. Joltek works with manufacturers and investors to de-risk modernization and build the internal capability to sustain results.Connect with Vlad: https://www.linkedin.com/in/vladromanov/Want to go deeper? Vlad and the team at Joltek have covered related topics here:Edge Computing and the Value of AI in Manufacturing Data: https://www.joltek.com/blog/edge-computing-ai-value-manufacturing-dataIT and OT Architecture Integration: https://www.joltek.com/services/service-details-it-ot-architecture-integrationDave Griffith is a co-host of The Manufacturing Hub Podcast and founder of Capelin Solutions, an industrial automation firm helping manufacturers adopt smart manufacturing technology. He brings 15 years of experience in industrial automation and digital transformation.Connect with Dave: https://www.linkedin.com/in/davegriffith23/Subscribe to Manufacturing Hub: https://www.manufacturinghub.liveLinkedIn: https://www.linkedin.com/company/manufacturing-hub-networkYouTube: https://www.youtube.com/@ManufacturingHub
In this episode of TBCY, host Frits Bussemaker welcomes back Keith Harrison-Broninski, CEO of Collaboration Tools Ltd, author, keynote speaker, technology consultant, and magician. They explore the urgent topic of AI safety, discussing what it truly means for artificial intelligence to be “safe,” the complexities of trust in modern AI, and how international standards and regulations can be operationalized in practical ways.Keith Harrison-Broninski shares real-world examples from his career, including pioneering work in air traffic control systems and defense, and explains how trusted engineering methodologies can be applied to the rapidly evolving world of AI. Discover how adopting an engineering mindset and holistic perspective can not only mitigate risk, but also create more valuable technology for organizations and communities.Don't miss Keith Harrison-Broninski's advice for anyone using AI and his vision for enabling safe, trustworthy AI ecosystems.
In this episode, Maggie Appleton from GitHub Next explains why "single player" AI tools are creating a team alignment crisis. We discuss the shift from solo CLI instances to multiplayer agentic environments, the launch of ACE (Agentic Collaboration Environment), and why the future of software isn't just about writing code faster—it's about using proactive agents to bridge the gap between developers, researchers, and the social fabric of a company.This was recorded at AI Engineer Europe.Links:Maggie Appleton https://maggieappleton.com/GitHub Next https://githubnext.com/
This is our daily Tech and Business Report. Today, we're joined by Bloomberg's Paige Smith. San Francisco-based Charles Schwab says it plans to use AI to roll out some benefits previously reserved for its wealthier clients.
Your easy weekly guide to the music biz and how it all works. Become a Superfan of the podcast for free – and enjoy the exclusive weekly Lock-in bonus section!This week... Stu's back from his travels and joins Steve to discuss beer, AI music, and Los Campesinos!:→ $5bn is how much controversial AI-music firm Suno could be valued at – and it might raising $250... so what is it going to do with that money?→ The phrase of the week is ‘Blue Dot Fever', and it's all about big tours being cancelled or delayed due to reportedly-poor ticket sales…→ While we're on live music, indie band Los Campesinos! have explained exactly just how much it costs to tour North America…→ Sony Music Publishing is spending $4 billion for a company that owns a lot of songs: Recognition Music Group. And some very famous musicians' rights are changing hands as part of the deal…→ British charity Youth Music has warned that 37% of grassroots music projects in the UK are in danger of shutting down. But what can you do about that?→ We've talked about how sales of alcohol can be crucial to the grassroots circuit. Now there's a specific beer that's been made to support artists on tour…→ We talked last week about the possible delay to the UK's ticket-touting ban. Now an update: industry bodies have been weighing in with their disappointment…→ Clankers With Attitude are an entirely AI group, releasing entirely AI-generated music on a label that is entirely run by, yes, AIs. And if you want to listen to their new album, you have to be an AI too…And in the special post-show lock-in section just for our Patreon Superfans, Steve and Stu prop themselves at the bar – and Steve's getting the first round in – as they discuss this week's bonus material:→ More on the "Blue Dot" tickets story – why are some artists selling a lot of tickets, and others... not so much? And: is Suno really worth $5bn?→ With the Red Hot Chilli Peppers' recordings catalogue being sold for $300m, does this blow Stuart's ‘the worst band in the world' theory out of the water? And what happens to the value of a band or artist's songs if they go out of fashion?→ Metal band Zao have been flagged as releasing AI-generated music. The only problem? It wasn't, and they aren't happy about the mistake…→ Stu has heard the first release by Little Grandad at last!===================================As ever, we welcome your feedback, emails and – in particular – any questions you might have about how the music biz works!Email us: thepriceofmusicpodcast@gmail.comSee you next week!Steve and Stuart======TPOM online: http://tpom.uk/Support The Price of Music on Patreon:https://www.patreon.com/ThePriceofMusicFollow Steve on X - @steve_lamacqFollow Stuart on X - @stuartdredgeFollow The Price of Music on X - @PriceofMusicpodFor sponsorship opportunities, please email - joe@musically.com
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Today, we have a special guest on the Code Story podcast - Patrick Vuong, Director of Product at Moderne. Moderne is the agent tools company, building the. Knowledge, discovery and execution tools that AI agents rely on - so they can operator faster, more accurately, and at far lower cost.In today's episode, Patrick is going to tell us about the company, and how Moderne is enabling developers to build software faster, and with the best context - using agents and agent tools. Their approach to semantic models produce deterministic over probabilistic, or inference driven, tools, which for this engineer/host, has been a point of skepticism for AI since the beginning.QuestionsTell me and my audience a little bit about you.What is Moderne?Moderne is enabling developers to operate software systems at the speed of agents. Tell me about this product suite.Why do Agents need tooling? Where do we see AI in ROISomething jumped out at me... you mentioned you are not only building tooling for agents that are deterministic.As we peer into tech stacks across the industry, where does Moderne fit?OK so this is clearly a pivot for Moderne. With this, who are your customers now?What does the future like for your product - what you offer - and your team?For you personally, you are entering into a new chapter with Moderne. What makes you most excited, going from Microsoft to entering the startup world with the company?In your journey, who has influenced the way you work? Tell me about a person, or many persons, or something you look up to and why.So you worked at Microsoft for 8 years, and are now transitioning to Moderne. Say you were getting on a plan and sitting next to someone about to make this same transition - what advice would you give them?SponsorsUnblockedTECH DomainsMezmoBraingrid.aiLinkshttps://www.moderne.ai/https://www.linkedin.com/in/vuongpatrick/Our Sponsors:* Check out Cash App and use my code CASHAPP10 for a great deal: https://click.cash.app/ui6m/mt82fpxl #CashAppPod. Cash App is a financial services platform, not a bank. Banking services provided by Cash App's bank partner(s). Prepaid debit cards issued by Sutton Bank, Member FDIC. See terms and conditions at https://cash.app/legal/us/en-us/card-agreement. Cash App Green, overdraft coverage, borrow, cash back offers and promotions provided by Cash App, a Block, Inc. brand. Visit http://cash.app/legal/podcast for full disclosures.* Check out Plaud AI and use my code CODESTORY for a great deal: https://plaud.aiAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy
In this episode of Uncharted, Bala Kasiviswanathan, VP of Developer and AI Experiences at Snowflake, shares how enterprises are moving from AI experimentation to real-world impact. Bala breaks down what it takes to build trusted AI systems, why time-to-value is the new competitive edge, and how Snowflake is helping developers and organizations turn data and AI into meaningful business outcomes faster than ever.About our speaker:Bala Kasiviswanathan is VP of Developer and AI Experiences at Snowflake, where he drives how developers, enterprises, and partners build applications and AI solutions on the Snowflake platform. He oversees Cortex Code, the centerpiece of Snowflake's AI development experience, alongside Snowsight, Notebooks, and Streamlit, the core surfaces that bring data and applications closer together on Snowflake. Central to his mission is making Snowflake the platform developers choose to build on, backed by a deep commitment to the open source and developer community. His goal: give every enterprise the tools, ecosystem, and AI-powered experiences to deploy modern data applications at scale.Bala brings over two decades of experience building and scaling enterprise software and AI products, from early-stage ideas to public-company scale. Prior to Snowflake, he held leadership roles at Microsoft, Apigee, and Google, and most recently served as Chief Product Officer and Chief Customer Experience Officer at Simpplr. Across each role, he has focused on understanding real customer problems, translating them into clear product bets, and guiding teams through major platform shifts with an emphasis on building products that deliver lasting business value.LinkedIn: https://www.linkedin.com/in/balak/
What does it really take to make AI work, not just technically, but organizationally? In this episode of the Scrum.org Community Podcast, host Dave West sits down with Dr. Alan Brown, researcher, advisor, and author of the new book Making AI Work for Britain, to explore the complex realities of AI adoption in large organizations and government.Drawing on decades of experience in enterprise digital transformation from Rational Software to IBM to advising public sector institutions, Alan unpacks why AI is both an evolutionary step and a fundamental disruption, and why most organizations are struggling to bridge the gap between technological capability and organizational readiness.Alan and Dave explore how lessons from the UK's digital government journey of consolidating demand, diversifying supply, offer a practical lens for every team navigating AI adoption today. They also dig into three principles Alan believes are at the heart of any disciplined approach to AI: value, risk, and trust and why that last one might be the most transformative idea yet for Scrum Teams.Whether you're a Scrum Master, Product Owner, or senior leader trying to make sense of AI in your organization, this conversation offers a grounded, thought-provoking framework for moving from pilot chaos to purposeful delivery.Book details can be found at https://futureofai.uk/Blog: Making AI Work: What Scrum Gets Right and Organizations Get Wrong
AI agents are moving from experiments to full-time “AI employees.” In this episode of In/organic, Christian Hassold sits down with Ameya Deshmukh from EverWorker at Shoptalk to discuss how business leaders are using AI workers to automate entire jobs, replace point solutions, and change the future of agencies, consulting, and go-to-market teams.EverWorker is building an AI workforce platform that helps companies launch AI employees in as little as 45 days. Ameya explains why DIY agents often break down inside real organizations, why maintenance and adoption matter more than the first prototype, and how AI-first agencies may gain market share while slower agencies get left behind.The conversation covers:- Why building one AI agent is easy, but scaling 30-40 use cases is hard- How EverWorker turns AI workers into modular business infrastructure- Why vertical AI agent platforms, agencies, and consulting firms are at risk- How EverWorker beat a traditional consulting firm in an AI strategy process- Why early-stage startups and agencies are adopting AI workers now- What AI-first agencies need to do to stay competitiveChapter Markers00:00 Intro from Shoptalk00:39 Meet Ameya from EverWorker01:00 What EverWorker does01:29 Why DIY AI agents are not enough02:55 The problem with maintaining agents04:26 Making AI workers easier to manage05:31 EverWorker's funding and company stage06:09 Will EverWorker acquire or be acquired?06:58 Whose lunch will AI workers eat?08:25 Could Accenture buy EverWorker?08:39 How small businesses can start using AI workers09:06 Why agencies need to become AI-first10:09 Final thoughtsIf you're a founder, agency owner, SaaS operator, investor, or M&A professional trying to understand how AI agents will change business services, this episode is a practical look at where the market is going.Connect with Christian and AyeletAyelet's LinkedIn: https://www.linkedin.com/in/ayelet-shipley-b16330149/Christian's LinkedIn: https://www.linkedin.com/in/hassold/Web: https://www.inorganicpodcast.cohttps://www.youtube.com/@InorganicPodcastConnect with Ameya Deshmukhhttps://www.linkedin.com/in/ameyadeshmukh10/Learn more about EverWorkerhttps://everworker.aiSubscribe to In/organic for conversations on SaaS M&A, agency M&A, AI disruption, strategic acquisitions, and lower-middle-market dealmaking. Hosted on Acast. See acast.com/privacy for more information.
Interview with Jim Spignardo What does it take to build AI workflows that work? Why do so many fail? Jim isn't a typical ESW guest. I think it's essential for security folks to regularly step outside the security bubble and understand other perspectives and mindsets. That's what we're doing today with Jim. He specializes in building custom AI architecture and workflows for his clients. We discuss the state of AI in the enterprise and why so many of these efforts fail. We'll discuss the elements of AI success and whether security plays a role in helping AI efforts succeed or contribute to failures. Segment Resources: https://www.proarch.com/ Cowork vs Cowork - Why Microsoft 365 Copilot Cowork Is the One Built for Enterprise RSAC Exec Interviews, Part 1 Trends Revealed in Fortinet's FortiGuard Labs 2026 Global Threat Landscape Report Fortinet's Global Director of Threat Intelligence and Adversarial AI Research explores the trends revealed in the latest Global Threat Landscape Report from FortiGuard Labs, including a surge in AI-enabled cybercrime. As AI optimizes and accelerates attack techniques, here's how cyber defenders should respond. This segment is sponsored by Fortinet . Visit https://securityweekly.com/fortinetrsac to learn more about them! X-PHY Delivers Hardware-Enforced Security for the Age of AI Agents Camellia Chan, CEO and Co-Founder of X-PHY, discusses how Model Context Protocol (MCP) is making it easier for AI agents to plug into enterprise apps and operate with elevated permissions—creating new opportunities for attacks and data exfiltration. She explains how X-PHY's hardware-enforced monitoring and detection sit beyond the OS trust boundary to enforce immutable limits on what agents can do and stop threats before data is lost, so organizations can adopt agentic AI with confidence. Security leaders looking to deploy AI agents safely can request a demo or briefing with X-PHY at https://securityweekly.com/xphyrsac. RSAC Exec Interviews, Part 2 Introducing Legion Investigator: Goal-Oriented AI Investigations Traditional security playbooks often fail because they cannot capture the fluid, context-dependent reasoning required when a routine investigation hits a non-scripted "judgment point." Legion Investigator addresses this gap by employing goal-oriented AI agents that move beyond rigid scripts to interpret findings and execute complex, multi-step investigations based on your team's unique environment and expertise. By bridging the divide between automated execution and human-level reasoning, the platform ensures that every alert (no matter how unpredictable) is handled with the depth and consistency of a senior analyst. This segment is sponsored by Legion Security. Visit https://securityweekly.com/legionrsac to learn more about them! The Missing Layer in Zero Trust: The Security Policy Control Plane Zero Trust has become the dominant security architecture for hybrid and cloud environments, but many organizations are discovering that deploying enforcement technologies alone does not deliver operational control. Firewalls, cloud security groups, and microsegmentation platforms enforce access decisions, yet the policies behind those controls are often fragmented, difficult to validate, and constantly changing. In this conversation, FireMon CEO Jody Brazil discusses why modern security architectures increasingly require a security policy control plane: a layer that continuously validates how policy is enforced across firewalls, cloud networks, and segmentation platforms. The discussion explores why policy drift occurs in real environments, how enforcement systems become difficult to coordinate at scale, and what organizations must do to ensure Zero Trust policies remain consistent as infrastructure evolves. This segment is sponsored by FireMon. Visit https://securityweekly.com/firemonrsac to learn more about them! Visit https://www.securityweekly.com/esw for all the latest episodes! Show Notes: https://securityweekly.com/esw-455
Interview with Jim Spignardo What does it take to build AI workflows that work? Why do so many fail? Jim isn't a typical ESW guest. I think it's essential for security folks to regularly step outside the security bubble and understand other perspectives and mindsets. That's what we're doing today with Jim. He specializes in building custom AI architecture and workflows for his clients. We discuss the state of AI in the enterprise and why so many of these efforts fail. We'll discuss the elements of AI success and whether security plays a role in helping AI efforts succeed or contribute to failures. Segment Resources: https://www.proarch.com/ Cowork vs Cowork - Why Microsoft 365 Copilot Cowork Is the One Built for Enterprise RSAC Exec Interviews, Part 1 Trends Revealed in Fortinet's FortiGuard Labs 2026 Global Threat Landscape Report Fortinet's Global Director of Threat Intelligence and Adversarial AI Research explores the trends revealed in the latest Global Threat Landscape Report from FortiGuard Labs, including a surge in AI-enabled cybercrime. As AI optimizes and accelerates attack techniques, here's how cyber defenders should respond. This segment is sponsored by Fortinet . Visit https://securityweekly.com/fortinetrsac to learn more about them! X-PHY Delivers Hardware-Enforced Security for the Age of AI Agents Camellia Chan, CEO and Co-Founder of X-PHY, discusses how Model Context Protocol (MCP) is making it easier for AI agents to plug into enterprise apps and operate with elevated permissions—creating new opportunities for attacks and data exfiltration. She explains how X-PHY's hardware-enforced monitoring and detection sit beyond the OS trust boundary to enforce immutable limits on what agents can do and stop threats before data is lost, so organizations can adopt agentic AI with confidence. Security leaders looking to deploy AI agents safely can request a demo or briefing with X-PHY at https://securityweekly.com/xphyrsac. RSAC Exec Interviews, Part 2 Introducing Legion Investigator: Goal-Oriented AI Investigations Traditional security playbooks often fail because they cannot capture the fluid, context-dependent reasoning required when a routine investigation hits a non-scripted "judgment point." Legion Investigator addresses this gap by employing goal-oriented AI agents that move beyond rigid scripts to interpret findings and execute complex, multi-step investigations based on your team's unique environment and expertise. By bridging the divide between automated execution and human-level reasoning, the platform ensures that every alert (no matter how unpredictable) is handled with the depth and consistency of a senior analyst. This segment is sponsored by Legion Security. Visit https://securityweekly.com/legionrsac to learn more about them! The Missing Layer in Zero Trust: The Security Policy Control Plane Zero Trust has become the dominant security architecture for hybrid and cloud environments, but many organizations are discovering that deploying enforcement technologies alone does not deliver operational control. Firewalls, cloud security groups, and microsegmentation platforms enforce access decisions, yet the policies behind those controls are often fragmented, difficult to validate, and constantly changing. In this conversation, FireMon CEO Jody Brazil discusses why modern security architectures increasingly require a security policy control plane: a layer that continuously validates how policy is enforced across firewalls, cloud networks, and segmentation platforms. The discussion explores why policy drift occurs in real environments, how enforcement systems become difficult to coordinate at scale, and what organizations must do to ensure Zero Trust policies remain consistent as infrastructure evolves. This segment is sponsored by FireMon. Visit https://securityweekly.com/firemonrsac to learn more about them! Visit https://www.securityweekly.com/esw for all the latest episodes! Show Notes: https://securityweekly.com/esw-455
Interview with Jim Spignardo What does it take to build AI workflows that work? Why do so many fail? Jim isn't a typical ESW guest. I think it's essential for security folks to regularly step outside the security bubble and understand other perspectives and mindsets. That's what we're doing today with Jim. He specializes in building custom AI architecture and workflows for his clients. We discuss the state of AI in the enterprise and why so many of these efforts fail. We'll discuss the elements of AI success and whether security plays a role in helping AI efforts succeed or contribute to failures. Segment Resources: https://www.proarch.com/ Cowork vs Cowork - Why Microsoft 365 Copilot Cowork Is the One Built for Enterprise RSAC Exec Interviews, Part 1 Trends Revealed in Fortinet's FortiGuard Labs 2026 Global Threat Landscape Report Fortinet's Global Director of Threat Intelligence and Adversarial AI Research explores the trends revealed in the latest Global Threat Landscape Report from FortiGuard Labs, including a surge in AI-enabled cybercrime. As AI optimizes and accelerates attack techniques, here's how cyber defenders should respond. This segment is sponsored by Fortinet . Visit https://securityweekly.com/fortinetrsac to learn more about them! X-PHY Delivers Hardware-Enforced Security for the Age of AI Agents Camellia Chan, CEO and Co-Founder of X-PHY, discusses how Model Context Protocol (MCP) is making it easier for AI agents to plug into enterprise apps and operate with elevated permissions—creating new opportunities for attacks and data exfiltration. She explains how X-PHY's hardware-enforced monitoring and detection sit beyond the OS trust boundary to enforce immutable limits on what agents can do and stop threats before data is lost, so organizations can adopt agentic AI with confidence. Security leaders looking to deploy AI agents safely can request a demo or briefing with X-PHY at https://securityweekly.com/xphyrsac. RSAC Exec Interviews, Part 2 Introducing Legion Investigator: Goal-Oriented AI Investigations Traditional security playbooks often fail because they cannot capture the fluid, context-dependent reasoning required when a routine investigation hits a non-scripted "judgment point." Legion Investigator addresses this gap by employing goal-oriented AI agents that move beyond rigid scripts to interpret findings and execute complex, multi-step investigations based on your team's unique environment and expertise. By bridging the divide between automated execution and human-level reasoning, the platform ensures that every alert (no matter how unpredictable) is handled with the depth and consistency of a senior analyst. This segment is sponsored by Legion Security. Visit https://securityweekly.com/legionrsac to learn more about them! The Missing Layer in Zero Trust: The Security Policy Control Plane Zero Trust has become the dominant security architecture for hybrid and cloud environments, but many organizations are discovering that deploying enforcement technologies alone does not deliver operational control. Firewalls, cloud security groups, and microsegmentation platforms enforce access decisions, yet the policies behind those controls are often fragmented, difficult to validate, and constantly changing. In this conversation, FireMon CEO Jody Brazil discusses why modern security architectures increasingly require a security policy control plane: a layer that continuously validates how policy is enforced across firewalls, cloud networks, and segmentation platforms. The discussion explores why policy drift occurs in real environments, how enforcement systems become difficult to coordinate at scale, and what organizations must do to ensure Zero Trust policies remain consistent as infrastructure evolves. This segment is sponsored by FireMon. Visit https://securityweekly.com/firemonrsac to learn more about them! Show Notes: https://securityweekly.com/esw-455
Interview with Jim Spignardo What does it take to build AI workflows that work? Why do so many fail? Jim isn't a typical ESW guest. I think it's essential for security folks to regularly step outside the security bubble and understand other perspectives and mindsets. That's what we're doing today with Jim. He specializes in building custom AI architecture and workflows for his clients. We discuss the state of AI in the enterprise and why so many of these efforts fail. We'll discuss the elements of AI success and whether security plays a role in helping AI efforts succeed or contribute to failures. Segment Resources: https://www.proarch.com/ Cowork vs Cowork - Why Microsoft 365 Copilot Cowork Is the One Built for Enterprise RSAC Exec Interviews, Part 1 Trends Revealed in Fortinet's FortiGuard Labs 2026 Global Threat Landscape Report Fortinet's Global Director of Threat Intelligence and Adversarial AI Research explores the trends revealed in the latest Global Threat Landscape Report from FortiGuard Labs, including a surge in AI-enabled cybercrime. As AI optimizes and accelerates attack techniques, here's how cyber defenders should respond. This segment is sponsored by Fortinet . Visit https://securityweekly.com/fortinetrsac to learn more about them! X-PHY Delivers Hardware-Enforced Security for the Age of AI Agents Camellia Chan, CEO and Co-Founder of X-PHY, discusses how Model Context Protocol (MCP) is making it easier for AI agents to plug into enterprise apps and operate with elevated permissions—creating new opportunities for attacks and data exfiltration. She explains how X-PHY's hardware-enforced monitoring and detection sit beyond the OS trust boundary to enforce immutable limits on what agents can do and stop threats before data is lost, so organizations can adopt agentic AI with confidence. Security leaders looking to deploy AI agents safely can request a demo or briefing with X-PHY at https://securityweekly.com/xphyrsac. RSAC Exec Interviews, Part 2 Introducing Legion Investigator: Goal-Oriented AI Investigations Traditional security playbooks often fail because they cannot capture the fluid, context-dependent reasoning required when a routine investigation hits a non-scripted "judgment point." Legion Investigator addresses this gap by employing goal-oriented AI agents that move beyond rigid scripts to interpret findings and execute complex, multi-step investigations based on your team's unique environment and expertise. By bridging the divide between automated execution and human-level reasoning, the platform ensures that every alert (no matter how unpredictable) is handled with the depth and consistency of a senior analyst. This segment is sponsored by Legion Security. Visit https://securityweekly.com/legionrsac to learn more about them! The Missing Layer in Zero Trust: The Security Policy Control Plane Zero Trust has become the dominant security architecture for hybrid and cloud environments, but many organizations are discovering that deploying enforcement technologies alone does not deliver operational control. Firewalls, cloud security groups, and microsegmentation platforms enforce access decisions, yet the policies behind those controls are often fragmented, difficult to validate, and constantly changing. In this conversation, FireMon CEO Jody Brazil discusses why modern security architectures increasingly require a security policy control plane: a layer that continuously validates how policy is enforced across firewalls, cloud networks, and segmentation platforms. The discussion explores why policy drift occurs in real environments, how enforcement systems become difficult to coordinate at scale, and what organizations must do to ensure Zero Trust policies remain consistent as infrastructure evolves. This segment is sponsored by FireMon. Visit https://securityweekly.com/firemonrsac to learn more about them! Show Notes: https://securityweekly.com/esw-455
This week, Dan Roelink, Director, Office for AI, Digital.NSW, NSW Department of Customer Service explores why the biggest barrier to AI in government is no longer understanding the technology, but removing the organisational and system "friction" that prevents safe, lawful, and scalable adoption. From an inside-government perspective, Dan looks at what it takes to move beyond pilots and experiments by putting the right foundations, governance, and operating models in place. It covers how governments can modernise risk and assurance, build the core components needed to scale (from policy and frameworks to capability and platforms), and strengthen the partnerships and problem-led collaboration required to take AI from idea to production. The episode also considers what "mature" AI-enabled public sector systems could look like in the future, and what effective cross-sector partnerships will need to deliver in a low-friction environment. Dan Roelink, Director, Office for AI, Digital.NSW, NSW Department of Customer Service For more great insights head to www.PublicSectorNetwork.co AI Pioneers series and subscribe for future episodes on your podcast platform of choice.
Episode of Series: 1 AI at the Edge promises speed, privacy, and smarter devices—but only if organizations get it right. In this first episode of a new series in the Stratix Podcast around AI, Alex Kalish welcomes Google's Senior Security Advocate, Android Enterprise Mike Burr to explore how AI is moving from the cloud directly onto mobile devices—and what that shift means for security, productivity, and real-world adoption. From protecting sensitive data to enabling frontline and knowledge workers at scale, this conversation breaks down what's hype, what's real, and how leaders can confidently put AI to work where decisions actually happen.
In this episode of the Shift AI Podcast, Derek Slager, CTO and co-founder of Amperity, joins host Boaz Ashkenazy for a conversation that spans 10 years of company building, the evolution of AI-assisted software development, and what it really means to lead a technical organization through genuine disruption.Derek shares the founding story of Amperity, how he and co-founder Kabir Shahani stumbled into the customer data problem while building marketing automation at their previous company, Aperture, and how that experience became the thesis for building an entire platform around getting data right. The conversation moves into the heart of how AI has transformed Derek's work as a CTO and as an engineer. He describes the moment the shift felt real, the team dynamics of moving from individual AI exploration to a true team sport, and how Amperity is compounding the institutional knowledge locked in a decade of after-action reviews into something agents can now actually learn from. Derek addresses the "SaaS is dead" narrative head-on arguing that Amperity's data foundation is precisely the asset that makes agents genuinely useful for their customers.Boaz and Derek close with a forward-looking exchange on agentic workflows in marketing, the importance of redesigning process and what a learning mindset means for individuals and organizations navigating what comes next.This episode is essential listening for CTOs, data leaders, and operators who want to understand how the companies with the best data foundations are positioned to thrive in the agentic era.Chapters[00:00] Introduction: Derek's Path to Building Amperity[02:13] What Amperity Is and Why It Took 10 Years to Build[04:41] First Job: Early IT Work at Dad's Small Business in Monroe, WA[06:14] The Founders Club: How Amperity Went to Market in 2016[08:20] Why They're Running a New Founders Club 10 Years Later[10:13] Both Sides of Claude Code: What Changed and When[13:30] Living Through Disruption as a CTO and Engineer[15:36] Making AI a Team Sport Instead of an Individual Pursuit[17:04] The Moment It Really Clicked: A Simple Tool That Took 5 Minutes to Build[19:09] Cultural Adoption: Skeptics to Believers Inside Amperity[21:50] Compounding Engineering: After-Action Reviews as AI Training Data[23:45] The Agent Wave Is Real: What It Means for a Customer Data Platform[25:09] Amperity's Data Foundation as the Perfect Agent Substrate[27:00] Redesigning Process, Not Just Adopting Tools[28:57] Systems Thinking and the Future of Work[30:04] Two Words: Learning Mindset[33:01] How to Connect with Derek and AmperityConnect with Derek SlagerLinkedIn: https://www.linkedin.com/in/derekslager/Website: amperity.comConnect with Boaz AshkenazyLinkedIn: https://www.linkedin.com/in/boazashkenazy/Email: info@shiftai.fm
Every organization knows it needs to adopt AI. Far fewer have worked out how to bring their whole workforce along for the journey. Telling employees to use new tools rarely works, and many companies are stuck with pockets of enthusiastic early adopters alongside large groups who feel the pace of change is simply too much. Getting from scattered experimentation to genuine organization-wide adoption requires a very different approach, one where upskilling, learning culture, and the right mindset matter as much as the technology itself. So what does it actually take to build a workforce that's ready for AI? My guest this week, recorded at the recent Transform conference, is Katya Laviolette, Chief People Officer at 1Password. In our conversation, she shares how her team built an AI adoption strategy co-led by HR and the technology team, why soft skills now matter more than technical training, and how to cut through the noise when every vendor is selling AI. In the interview, we discuss: Building organization-wide AI adoption The role of AI champions Balancing human and AI work Why curiosity and adaptability matter Upskilling versus hiring new talent Evolve, shift, and pivot. Evaluating AI tools and vendors in a noisy market Privacy and security considerations What the future looks like Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.
In this episode, Minter Dial welcomes AI creative technologist and community builder Rebecca Rowntree, whose journey bridges advertising, technology, and the world of creative collaboration. Rebecca Rowntree shares her experiences founding Get Shit Done, a thriving WhatsApp-based creative community, and explains how her background as a bilingual creative director informs her approach to culture-driven campaigns for leading brands like Nike, PlayStation, and Kellogg's. The conversation unfolds into Rebecca Rowntree's work with AI assistants, revealing practical ways for individuals and businesses to build proprietary tools that reflect their personality, values, and empathy. She highlights the importance of human-centered prompting in AI, demystifies memory and context in large language models, and champions diversity in the tech space—especially the crucial need for women's voices in shaping the future of AI. Minter Dial and Rebecca Rowntree also explore the ethical complexities of emotionally resonant advertising, why balancing creativity and technology matters, and how the intimacy of platforms like WhatsApp enables authentic connection and support in an overwhelming digital landscape. Listeners learn how curiosity, empathy, and even anger can fuel meaningful action—both in business and life. Whether you're a marketer grappling with AI integration, a founder searching for the right community, or simply curious about how technology can become more human, this episode offers real-world advice and plenty of inspiration. Tune in as Minter Dial and Rebecca Rowntree dissect the promise and pitfalls of AI, creativity, and cultural connection in today's fast-moving world.
The Business of Marketing hosts A. Lee Judge and Rocio Osuna discuss the delicate balance between using AI for efficiency and maintaining human authenticity in business storytelling. They are joined by global storytelling expert Gabrielle Dolan, author of Story Intelligence, who explains why personal and professional stories are more critical than ever in an era of "AI slop" and digital distrust. The conversation explores practical frameworks for extracting genuine stories from executives, the four types of stories every leader should master—Personal, Professional, Public, and Parables—and how to use AI as a creative partner without losing your unique voice.
AI isn't just about automation—it's about making your business more human. On this episode of The Story Engine Podcast, Kyle Gray sits down with Nick Morgan, founder of Perfectus Labs, an AI-powered agency helping entrepreneurs and creators get better results while freeing up time to focus on what matters most. Nick shares how he built systems and tools like Cognos SEO and Book Solid to help businesses personalize outreach, increase engagement, and scale efficiently—without losing the human touch. From manually following up with clients for hours every night to traveling the world while his AI-powered systems manage communications, Nick's journey shows how thoughtful AI implementation can break the burnout cycle and create real freedom. They explore how AI can be used ethically to connect with prospects, create better customer experiences, and generate measurable business results—like 98% inbox placement and response rates as high as 34%. Whether you're a small business owner, marketer, or entrepreneur, this episode is packed with actionable insights to help you work smarter, connect deeper, and live better. On This Episode 00:54 Nick's journey from enterprise clients to building tools for SMBs, including Cognos SEO and Book Solid 03:50 Making AI outreach feel human: personalized messages, curated content, and high inbox placement rates 06:00 Kyle reflects on "the platinum rule" in AI outreach: treat people how they want to be treated 07:09 Event follow-ups: using AI to book calls and manage connections automatically, increasing booking rates up to 60% 08:48 Reducing the manual workload: how AI frees up hours previously spent on follow-up 12:27 Using AI to motivate prospects to take action, including webinar attendees and cold prospects 14:18 AI as a tool for revenue generation first, then efficiency in operations—tangible, fast, and visible results 19:35 How Perfectus Labs leverages experience, psychology, and agentic AI to deliver results for clients 22:47 The personal cost of manual follow-up: burnout, long hours, and lack of free time; integrating work into daily life 28:49 Achieving freedom through AI: traveling to London, exploring history, and being present while business runs smoothly
Wait.... did OpenAI and Anthropic take a week off?
Superpowers for Good should not be considered investment advice. Seek counsel before making investment decisions. When you purchase an item, launch a campaign or create an investment account after clicking a link here, we may earn a fee. Engage to support our work.Watch the show on television by downloading the e360tv channel app to your Roku, LG or AmazonFireTV. You can also see it on YouTube.Devin: What is your superpower?Gregory: Ability to combine existing technologies in innovative ways to create scalable, impactful solutions.The rapid pace of AI development creates both opportunities and risks. As technologies like agentic AI advance, concerns about safety, misuse, and unpredictability grow. In today's episode, Gregory Magarshak, Founder and CEO of Intercoin, shared how he is working to address these challenges through his latest startup, SafeBot, and his broader mission to empower communities with responsible technology.Gregory explained, “We want our AI to be predictable. We want to engineer proper systems…SafeBot is exactly that: a sandbox where agents can build tools that are safe and auditable.” His focus on creating AI systems with built-in safeguards ensures that even the most advanced AI operates within controlled parameters. This vision prioritizes building trust and accountability, addressing real-world dangers like deepfakes or malicious bots.Gregory's experience in the Web3 space informs his approach to AI. He sees parallels between the early days of blockchain and today's evolving AI landscape. “People take the low-hanging fruit that gives them profits…but we could build serious, grown-up technology that's decentralized and safe,” he said. His work with SafeBot, launched just two months ago, aims to create the infrastructure for safe AI tools that are also decentralized, transparent, and aligned with ethical principles.Beyond AI, Gregory's company Intercoin is helping communities and organizations build blockchain-powered tools for collaboration, funding, and governance. From local community coins to global initiatives, he envisions blockchain as a way to create fairer and more transparent systems. Gregory shared that Intercoin is working on projects ranging from community currencies to tokenized crowdfunding efforts, even exploring opportunities to support national economies like Liberia with blockchain tools.Gregory's work isn't just about technology—it's about empowering people. By creating decentralized, secure platforms, he's helping individuals and communities regain control over their digital lives. Whether through AI or blockchain, his mission is clear: build systems that are not only innovative but also safe, ethical, and human-centered.If Intercoin or SafeBot is raising funds via regulated crowdfunding, don't miss the chance to support these transformative projects.tl;dr:Gregory Magarshak shared insights on making AI safer through transparent, sandboxed systems like SafeBot.He explained how Intercoin builds blockchain-powered tools for communities, focusing on decentralization and trust.Gregory discussed parallels between AI and Web3, emphasizing the need for mature, ethical innovation.He shared examples of using technology like Apple's app clips to empower community engagement securely.Gregory's vision centers on empowering individuals and communities with tools that prioritize safety and transparency.How to Develop Assembling Innovation As a SuperpowerGregory's superpower lies in his ability to combine existing technologies in innovative ways to create scalable, impactful solutions. He described it as having the confidence to connect the dots between different technologies and see the path to solve complex challenges. Reflecting on his approach, Gregory explained, “I have a knack for assembling the components in very innovative ways…Once I see the path, a lot of the steps can be done.”Gregory shared an example of rolling out a “groups app” designed to help communities securely organize and engage. An aha moment occurred when he leveraged Apple's little-known “app clip” technology, which allows users to load a lightweight app instantly without downloading it. By combining this feature with secure blockchain and encryption tools, Gregory created a seamless, safe way for communities to connect. This approach exemplifies how he uses his ability to integrate technologies to solve real-world problems.Tips for Developing the Superpower:Seek inspiration from existing tools: Explore ways to use underutilized technologies, like Apple's app clips.Think modularly: Focus on combining technologies rather than reinventing foundational layers.Identify the “path through”: Train yourself to see how A connects to B and beyond.Prioritize safety and ethics: Build systems that are secure and transparent by design.Leverage open standards: Use interoperable and standardized tools to create scalable, reliable solutions.By following Gregory's example and advice, you can make assembling innovation a skill. With practice and effort, you could make it a superpower that enables you to do more good in the world.Remember, however, that research into success suggests that building on your own superpowers is more important than creating new ones or overcoming weaknesses. You do you!Register Now!Guest ProfileGregory Magarshak (he/him):CEO, Intercoin Inc.About Intercoin Inc.: Intercoin is a blockchain-based purpose-driven company with cryptographic tools to introduce new systems to significantly improve people's experience with connections and the next steps in the evolution of money. Intercoin is a mission-oriented start-up committed to making a positive impact with the support of a global currency platform. Intercoin's platform will enable communities around the world to issue and manage their own currency, to circulate among their local population. Intercoin enables fintech innovation on the local community level, leading to stronger communities, greater sustainability, less poverty, and more productivity. We believe in the balanced business models that give valuable return to investors, supports shareholders, cares about customers, appreciate employees as well as broader society and the environment. Our focus is on future generations, and we strive to enable companies to drive innovation and growth to support precious lives in an era of rapid transformation.Just as the Internet is a global network that connects local networks, Intercoin is building a global currency platform that enables communities around the world to issue and manage their own currency, to circulate among their local population. Intercoin enables fintech innovation on the local community level, leading to stronger communities, greater sustainability, less poverty, and more productivity.Website: intercoin.orgCompany Twitter Handle: @IntercoinOrgOther URL: safebots.aiBiographical Information: Gregory Magarshak is a serial technology innovator, open-source architect, and founder building decentralized systems that empower communities worldwide. As Founder and CEO of Qbix and Intercoin, and Chief Technology Architect at Safebots AI, Greg operates at the intersection of large language models, blockchain, and social infrastructure. His platforms have reached millions of users across more than 100 countries, enabling organizations to launch their own social networks, manage digital identity, and implement blockchain-based governance tools such as voting and asset management. Through open-source technology, Greg's work seeks to reduce dependence on centralized Big Tech platforms and return control of data and decision-making to communities.Earlier in his career, Greg contributed to high-profile technology initiatives at Bloomberg, Fidelity Investments, and leading digital agencies, developing scalable front-end systems and innovative user experiences. A mathematician by training with a Master's degree from NYU, he also began college at age 14 and previously performed as a concert pianist at Carnegie Hall. Blending deep technical expertise with interests in philosophy, economics, and social dynamics, Greg continues to design secure, scalable digital infrastructure aimed at strengthening collective coordination and safeguarding the future of AI and decentralized systems.LinkedIn Profile: linkedin.com/in/magarshakInstagram Handle: @egreg Personal Twitter Handle: @GregMozartThe Super Crowd, Inc., a public benefit corporation, is proud to have been named a finalist in the media category of the impact-focused, global Bold Awards.Support Our SponsorsOur generous sponsors make our work possible, serving impact investors, social entrepreneurs, community builders and diverse founders. Today's advertisers include rHealth, and SuperCrowd26 featuring PurposeBuilt100™️. Learn more about advertising with us here.Max-Impact Members(We're grateful for every one of these community champions who make this work possible.)Brian Christie, Brainsy | Cameron Neil, Lend For Good | Carol Fineagan, Independent Consultant | Hiten Sonpal, RISE Robotics | John Berlet, CORE Tax Deeds, LLC. | Justin Starbird, The Aebli Group | Lory Moore, Lory Moore Law | Mark Grimes, Networked Enterprise Development | Matthew Mead, Hempitecture | Michael Pratt, Qnetic | Mike Green, Envirosult | Nick Degnan, Unlimit Ventures | Dr. Nicole Paulk, Siren Biotechnology | Paul Lovejoy, Stakeholder Enterprise | Pearl Wright, Global Changemaker | Scott Thorpe, Philanthropist | Sharon Samjitsingh, Health Care Originals | Add Your Name HereUpcoming SuperCrowd Event CalendarIf a location is not noted, the events below are virtual.Superpowers for Good Live Pitch – Private Investor Session: Immediately following the March 17, 2026 live broadcast at 8 PM ET / 5 PM PT, investors are invited to join an exclusive private Zoom session to engage directly with the presenting founders—BRG Therapeutics (Dale Walker), GigaWatt (Deep Patel), My Diabetes Health (Dr. Prem Sahasranam), and rHEALTH (Eugene Chan). In this dedicated off-air environment, participants can ask deeper questions about strategy, traction, deal terms, and impact while exploring their active Regulation Crowdfunding campaigns in real time. Watch the live pitches on Roku, Amazon Fire TV, LG Smart TVs via e360tv, LinkedIn, YouTube, or Facebook—then continue the conversation in the private investor session where capital and clarity come together. Register free to get access to both events.SuperCrowd Impact Member Networking Session: Impact (and, of course, Max-Impact) Members of the SuperCrowd are invited to a private networking session on March 17th at 1:30 PM ET/10:30 AM PT. Mark your calendar. We'll send private emails to Impact Members with registration details. Upgrade to Impact Membership today!SuperCrowdHour March: This month, Devin Thorpe will explore how investors can align profit with purpose in a powerful session titled “Why You Should Make Money with Impact Crowdfunding.” As CEO and Founder of The Super Crowd, Inc., Devin will share practical insights on generating financial returns while driving measurable social and environmental impact through regulated investment crowdfunding. Register free to get all the details. March 18th at Noon ET/9:00 PT.SuperCrowd26 featuring PurposeBuilt100™: This August 25–27, founders, investors, and ecosystem leaders will gather for a three-day, broadcast-quality global experience focused on disciplined capital formation, regulated investment crowdfunding, and purpose-driven growth. We're bringing together leading voices in impact investing, compliance, digital marketing, and circular economy innovation to deliver practical frameworks, real-world case studies, and actionable strategies. The event culminates in the PurposeBuilt100™ Showcase, recognizing 100 of the fastest-growing purpose-driven companies in the U.S. Register now to secure your seat and get all the details. August 25–27, streaming worldwide.Community Event CalendarSuccessful Funding with Karl Dakin, Tuesdays at 10:00 AM ET - Click on Events.If you would like to submit an event for us to share with the 10,000+ changemakers, investors and entrepreneurs who are members of the SuperCrowd, click here.Manage the volume of emails you receive from us by clicking here.We use AI to help us write compelling recaps of each episode. Get full access to Superpowers for Good at www.superpowers4good.com/subscribe
Former hockey enforcer Dave Burnett took punches for a living, then helped build Achievers.com (sold for $110M), watched his own business go to zero twice, and came back both times. In this episode, we dig into why founders with non-traditional backgrounds often outperform the textbook startup playbook, how to make sure AI models actually know your startup exists, and a time management system built around 1,440 minutes that will change how you think about your day. CHAPTERS0:00 Intro0:32 Dave's path from hockey enforcer to serial entrepreneur1:36 Building Achievers.com and the $110M exit3:08 Why non-traditional founders have an edge3:52 The enforcer mentality and entrepreneurial grit7:05 Building for the future: swappable AI engines8:25 AI models are commodities, not loyalties10:30 AI is table stakes now10:43 The dumbbell theory: where to build in the age of AI15:53 AI visibility: does ChatGPT, Claude, or Gemini know your startup exists?19:47 What separates visible companies from invisible ones21:00 How to use LLMTel to check your AI visibility23:01 What early-stage founders should do now to show up in AI25:18 GEO vs. SEO: what's different, what's the same26:48 Mid-roll break27:09 The 1,440-minute time management system31:04 Color-coding your day in 10-minute blocks32:23 Constraint-based prioritization: always work on the bottleneck34:36 Embracing uncertainty and getting comfortable with failure36:23 Building things nobody wants (and how to avoid it)38:27 Why Dave went so granular on time tracking40:51 Surviving a traumatic brain injury while running multiple companies41:51 Notifications are other people's priorities46:54 It's going to suck, and that's normal47:59 When to pivot vs. when to double down50:23 Going to zero twice: Great Recession and COVID53:03 Business as an infinite game55:01 Closing thoughts
Jim Caci, CFO of AvePoint (AVPT), highlights their latest quarterly results, calling them a “strong end to a strong year.” AvePoint is a data protection platform. He discusses how they are prioritizing profit and working in an AI world. He notes that 50% of their ARR is outside of America, giving them plenty of international exposure and creating “balance and visibility.” Jim talks about how AvePoint is making AI into an accelerator rather than a risk.======== Schwab Network ========Empowering every investor and trader, every market day.Options involve risks and are not suitable for all investors. Before trading, read the Options Disclosure Document. http://bit.ly/2v9tH6DSubscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about
In this episode, Adam Torres interviews James Rembert, Co-Founder of WEConnect LA, live from a downtown Los Angeles WEConnect LA event. James shares the origin of the community, his approach to coaching and implementation, and how WEConnect LA brings entrepreneurs together to collaborate, learn, and apply AI and emerging tech in practical ways. About James Rembert James founded DigitalNatives Inc. and now specializes in RAG agents, agentic development, and marketing strategy. But his story actually starts in a pretty different place: as a licensed realtor in New Jersey. What started as solving his own lead generation challenges turned into something much bigger. He didn't just crack the code for his business. He actually changed how real estate marketing works by making lead generation not only easier to understand, but genuinely accessible through training. Now he's helping other professionals navigate the same challenges he once faced, but with a lot less confusion and a lot more clarity. About of WEConnect LA Designed to help leaders build brands that fascinate, generate revenue, and scale with intention- creating real impact across business, real estate, and the communities they serve. Follow Adam on Instagram at https://www.instagram.com/askadamtorres/ for up to date information on book releases and tour schedule. Apply to be a guest on our podcast: https://missionmatters.lpages.co/podcastguest/ Visit our website: https://missionmatters.com/ More FREE content from Mission Matters here: https://linktr.ee/missionmattersmedia Learn more about your ad choices. Visit podcastchoices.com/adchoices
From overcoming initial anxieties through hackathons and playful experiments, to setting an ambitious organizational roadmap for AI, Dessalen Wood shares how Syntax is embedding artificial intelligence across departments, focusing on pragmatic progress rather than hype.You'll hear stories about driving excitement, learning by doing, and the all-important challenge of measuring real impact. More than just technology, this episode dives into the culture shifts, collaboration with IT, and leadership mindsets that are pushing companies out of their comfort zones and into the future, while keeping authenticity and humanity front and center.You will want to hear this episode if you are interested in...00:00 Overcoming AI fear through collaboration03:30 Defining AI readiness today09:55 AI's role in business transformation15:46 AI anxiety in the workplace22:05 Making AI adoption fun28:11 AI expertise requires human touch36:42 AI strategy: Three layers explained41:31 True transformation vs. improvement53:21 Rethinking work, technology, and AIOvercoming AI AnxietyEarly stages of AI adoption in organizations are often marked by fear. Employees worry about being displaced, making mistakes, or failing to keep up. At Syntax, Dessalen Wood and her fellow leaders tackled these concerns by creating safe, engaging, and transparent opportunities to experiment.One of the most effective strategies was an organization-wide AI hackathon. Everyone, regardless of their role, was invited to submit ideas for automation and improvement—ideas that the tech team then built. Not only did this demystify AI, but it also provided a healthy dose of competition and excitement. Dessalen describes that, “Instead of people fearing automation, it became a competition... People were saying, please, automate my tasks!” This shift from apprehension to enthusiasm helped break through adoption barriers and foster a culture of creative problem-solving.Structuring Success: A Multi-Layered AI RoadmapSyntax's approach moves AI from a buzzword to a set of actionable strategies. The leadership distinguished between three core areas:Department Initiatives: Leveraging AI for productivity and process improvement within teamsCustomer Value: Enhancing solutions and services delivered to external clientsBusiness Transformation: Reimagining core business models and operations for strategic advantageMany organizations mistakenly assume one AI initiative will magically improve all three—but real impact comes from tailored strategies for each. In practice, this means differentiating between continuous improvement (making existing tasks more efficient) and true reinvention (fundamentally transforming how and why work gets done).The creation of AI champions, employees trained as internal advocates and solution designers, helped ensure that innovative ideas didn't just sit in a backlog. Instead, those not ready for large-scale investment could be adapted, piloted, and iterated by these champions, keeping the spirit of experimentation alive while prioritizing resources for the highest-value initiatives.The Human Element: Authenticity, Experimentation, and MeasurementAs AI tools become more prevalent, a new challenge emerges: maintaining authenticity in communication, development, and leadership. The team discussed the “hollowed-out leader” phenomenon—where over-reliance on AI could dilute critical thinking and personal investment. Dessalen explains why expertise, context, and human customization are more important than ever: If it doesn't demonstrate expertise and isn't highly curated, it just turns people off.Measurement is also evolving. Early wins in AI productivity are being tracked, not just in terms of completion rates or tool adoption, but in demonstrable business outcomes and stretch goals. Syntax uses tools that help employees articulate their productivity gains and set new impact targets, ensuring that activity translates into organizational value.Resources & People MentionedExperience Qualtrics Management Resources Connect with Dessalen WoodDessalen Wood on LinkedIn Connect With Red Thread ResearchWebsite: Red Thread ResearchOn LinkedInOn FacebookOn TwitterSubscribe to WORKPLACE STORIES
In his new book, Wall Street Journal tech columnist Christopher Mims offers a guide for getting the most out of the technology. He's compiled two dozen "Laws of AI" to shed light on the best ways to use these generative tools.Yesterday we talked about how individuals can improve their productivity with AI, and today we're digging into how organizations can use — or sometimes misuse — it.
In his new book, Wall Street Journal tech columnist Christopher Mims offers a guide for getting the most out of the technology. He's compiled two dozen "Laws of AI" to shed light on the best ways to use these generative tools.Yesterday we talked about how individuals can improve their productivity with AI, and today we're digging into how organizations can use — or sometimes misuse — it.
With ~1M registered users, CellarTracker (“CT”) is one of the core consumer apps for wine lovers. When Eric LeVine, Founder & CEO of CT, was last on XChateau in late 2021, they had just taken on investment to expand the business. Eric gives us a rundown of what has happened since, like launching a new mobile app and adding AI features, as well as what is coming down the pipe. Detailed Show Notes: CT now at 1M registered users, with monthly active users +40-50% since 2021Team has grown from ~10 employees during Covid to ~25Launched new mobile app 1.5 years ago (2023)~10k reviews in Apple App Store / Google Play with a 4.9* ratingMore modern, visualFor subscribers: enhanced drinking windows, tasting notes, AI features (chatbot for wines you like, pairings, etc…)3x users registering on monthly basis vs 2021Continue to support old app to be more customer centric and work out bugs in the new appImproved data analytics; overhauled drinking windows, valuation of wines, “what's poppin” identifying when people are opening winesWinery analytics: trialed with a couple wineriesNo obvious product market fitWineries interested in what other wineries were in cellars with theirsOne CA winery had 40% of their mailing list on CTHistorically did no marketingDoing more social media, email engagementSome paid search, App Store optimization is the biggest driverGet feedback on what improve with Frill, users can vote on improvements needed and pair it with product usage and usage flowsNew features on the horizonStarting in-app notificationsDeveloping research tool to identify what wines to buy and how much to pay (aggregates price data from reports and ~50% of users report price paid)Making AI embedded natively in the applicationAdd via receipt feature automatically adds (using AI) wines to cellar if you email add@cellartracker.comProduct pricingWas early adopter of “freemium” modelPeople were confused by historic “voluntary payment,” only 1/1000 users could say what features are paidAdded more value to paying users (e.g. - drinking windows, AI features; including some things that used to be free), doubled user pay rateSuggesting what to pay is more hidden nowCan get an annual subscription on website, monthly on Apple App Store w/ 2 week free trial (Apple takes a cut and must cancel through Apple)Consumer trendsPeople looking for values (e.g. - they ask “what's a cheaper version of x?”) and diversity of winesNot seeing a lot of changes in user patterns (e.g. - consumption) Hosted on Acast. See acast.com/privacy for more information.
Jason Lemkin is the founder of SaaStr, the world's largest community for software founders, and a veteran SaaS investor who has deployed over $200 million into B2B startups. After his last salesperson quit, Jason made a radical decision: replace his entire go-to-market team with AI agents. What started as an experiment has transformed into a new operating model, where 20 AI agents managed by just 1.2 humans now do the work previously handled by a team of 10 SDRs and AEs. In this conversation, Jason shares his hands-on experience implementing AI to run his sales org, including what works, what doesn't, and how the GTM landscape is quickly being transformed.We discuss:1. How AI is fundamentally changing the sales function2. Why most SDRs and BDRs will be “extinct” within a year3. What Jason is observing across his portfolio about AI adoption in GTM4. How to become “hyper-employable” in the age of AI5. The specific AI tools and tactics he's using that have been working best6. Practical frameworks for integrating AI into your sales motion without losing what works7. Jason's 2026 predictions on where SaaS and GTM are heading next—Brought to you by:DX—The developer intelligence platform designed by leading researchersVercel—Your collaborative AI assistant to design, iterate, and scale full-stack applications for the webDatadog—Now home to Eppo, the leading experimentation and feature flagging platform—Transcript: https://www.lennysnewsletter.com/p/we-replaced-our-sales-team-with-20-ai-agents—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/182902716/my-biggest-takeaways-from-this-conversation—Where to find Jason Lemkin:• X: https://x.com/jasonlk• LinkedIn: https://www.linkedin.com/in/jasonmlemkin• Website: https://www.saastr.com• Substack: https://substack.com/@cloud—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Jason Lemkin(04:36) What SaaStr does(07:13) AI's impact on sales teams(10:11) How SaaStr's AI agents work and their performance(14:18) How go-to-market is changing in the AI era(19:19) The future of SDRs, BDRs, and AEs in sales(22:03) Why leadership roles are safe(23:43) How to be in the 20% who thrive in the AI sales future(28:40) Why you shouldn't build your own AI tools(30:10) Specific AI agents and their applications(36:40) Challenges and learnings in AI deployment(42:11) Making AI-generated emails good (not just acceptable)(47:31) When humans still beat AI in sales(52:39) An overview of SaaStr's org(53:50) The role of human oversight in AI operations(58:37) Advice for salespeople and founders in the AI era(01:05:40) Forward-deployed engineers(01:08:08) What's changing and what's staying the same in sales(01:16:21) Why AI is creating more work, not less(01:19:32) Why Jason says these are magical times(01:25:25) The "incognito mode test" for finding AI opportunities(01:27:19) The impact of AI on jobs(01:30:18) Lightning round and final thoughts—Referenced:• Building a world-class sales org | Jason Lemkin (SaaStr): https://www.lennysnewsletter.com/p/building-a-world-class-sales-org• SaaStr Annual: https://www.saastrannual.com• Delphi: https://www.delphi.ai/saastr/talk• Amelia Lerutte on LinkedIn: https://www.linkedin.com/in/amelialerutte/• Vercel: https://vercel.com• What world-class GTM looks like in 2026 | Jeanne DeWitt Grosser (Vercel, Stripe, Google): https://www.lennysnewsletter.com/p/what-the-best-gtm-teams-do-differently• Everyone's an engineer now: Inside v0's mission to create a hundred million builders | Guillermo Rauch (founder and CEO of Vercel, creators of v0 and Next.js): https://www.lennysnewsletter.com/p/everyones-an-engineer-now-guillermo-rauch• Replit: https://replit.com• Behind the product: Replit | Amjad Masad (co-founder and CEO): https://www.lennysnewsletter.com/p/behind-the-product-replit-amjad-masad• ElevenLabs: https://elevenlabs.io• The exact AI playbook (using MCPs, custom GPTs, Granola) that saved ElevenLabs $100k+ and helps them ship daily | Luke Harries (Head of Growth): https://www.lennysnewsletter.com/p/the-ai-marketing-stack• Bolt: https://bolt.new• Lovable: https://lovable.dev• Harvey: https://www.harvey.ai• Samsara: https://www.samsara.com/products/platform/ai-samsara-intelligence• UiPath: https://www.uipath.com• Denise Dresser on LinkedIn: https://www.linkedin.com/in/denisedresser• Agentforce: https://www.salesforce.com/form/agentforce• SaaStr's AI Agent Playbook: https://saastr.ai/agents• Brian Halligan on LinkedIn: https://www.linkedin.com/in/brianhalligan• Brian Halligan's AI: https://www.delphi.ai/minds/bhalligan• Sierra: https://sierra.ai• Fin: https://fin.ai• Deccan: https://www.deccan.ai• Artisan: https://www.artisan.co• Qualified: https://www.qualified.com• Claude: https://claude.ai• HubSpot: https://www.hubspot.com• Gamma: https://gamma.app• Sam Blond on LinkedIn: https://www.linkedin.com/in/sam-blond-791026b• Brex: https://www.brex.com• Outreach: https://www.outreach.io• Gong: https://www.gong.io• Salesloft: https://www.salesloft.com• Mixmax: https://www.mixmax.com• “Sell the alpha, not the feature”: The enterprise sales playbook for $1M to $10M ARR | Jen Abel: https://www.lennysnewsletter.com/p/the-enterprise-sales-playbook-1m-to-10m-arr• Clay: https://www.clay.com• Owner: https://www.owner.com• Momentum: https://www.momentum.io• Attention: https://www.attention.com• Granola: https://www.granola.ai• Behind the founder: Marc Benioff: https://www.lennysnewsletter.com/p/behind-the-founder-marc-benioff• Palantir: https://www.palantir.com• Databricks: https://www.databricks.com• Garry Tan on LinkedIn: https://www.linkedin.com/in/garrytan• Rippling: https://www.rippling.com• Cursor: https://cursor.com• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• The new AI growth playbook for 2026: How Lovable hit $200M ARR in one year | Elena Verna (Head of Growth): https://www.lennysnewsletter.com/p/the-new-ai-growth-playbook-for-2026-elena-verna• Pluribus on AppleTV+: https://tv.apple.com/us/show/pluribus/umc.cmc.37axgovs2yozlyh3c2cmwzlza• Sora: https://openai.com/sora• Reve: https://app.reve.com• Everything That Breaks on the Way to $1B ARR, with Mailchimp Co-Founder Ben Chestnut: https://www.saastr.com/everything-that-breaks-on-the-way-to-1b-arr-with-mailchimp-co-founder-ben-chestnut/• The Revenue Playbook: Rippling's Top 3 Growth Tactics at Scale, with Rippling CRO Matt Plank: https://www.youtube.com/watch?v=h3eYtzBpjRw• 10 contrarian leadership truths every leader needs to hear | Matt MacInnis (Rippling): https://www.lennysnewsletter.com/p/10-contrarian-leadership-truths—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com
Joel Comm is a tech pioneer, bestselling author, and podcast host making AI accessible and fun for everyone - especially the 50 plus crowd - with his new show, AI for Everyone. Top 3 Value Bombs 1. AI isn't scary, it's amoral. It becomes good or bad depending on how we use it. 2. Treat AI like your new personal assistant for everyday tasks, from contracts to meal plans. 3. The fastest way to beat AI overwhelm is to just start, pick a tool, ask it something simple, and build from there. Check out Joel's website. Follow him on YouTube, Rumble, Spotify, and Apple Podcasts for new 5-10 minute "AI for Everyone" episodes - AI for Everyone Show Sponsors HighLevel - The ultimate all-in-one platform for entrepreneurs, marketers, coaches, and agencies. Learn more at HighLevelFire.com. Thrivetime Show - Attend the world's highest rated business growth workshop taught personally by Clay Clark and featuring Football Star and Entrepreneur, Tim Tebow and President Trump's Son Eric Trump at ThrivetimeShow.com/eofire.
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