Podcasts about making ai

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/

Artificial intelligence is developing at breakneck speed, leaving governments around the world scrambling to respond. For a high-risk area like health care, safe, responsible use will be critical. But pressures on health systems mean governments can ill afford to delay adoption. So what's the right balance? And how can we ensure AI tools work in real-life health care settings and minimise unintended consequences?Following the 10-Year Health Plan, the government has established a National Commission into the Regulation of AI in Healthcare to explore these questions and make recommendations for how regulations need to adapt. To discuss, our Chief Executive Jennifer Dixon is joined by: Ricardo Baptista Leite, CEO of Health AI, a Geneva-based nonprofit that promotes equitable access to AI-powered health innovations. Alastair Denniston, Professor of Regulatory Science and Innovation at the University of Birmingham.  The National Commission into the Regulation of AI in Healthcare is established to advise the MHRA. It is co-chaired by Alastair Denniston. Ricardo Baptista Leite and Jennifer Dixon are members. Its final report is expected later in 2026. Show notesUK government. National AI Commission into the Regulation of AI in Healthcare.Health Foundation (2025). AI in healthcare – staying ahead of the issues. Health AI (2026). AI governance in health – Global landscape 2025 report.  Health Foundation (2026). AI in healthcare must earn the public's confidence. JAMA (2025). AI, Health, and Health Care Today and Tomorrow: the JAMA Summit Report on Artificial Intelligence.

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

Just wrapped a great conversation with Ravi Marwaha on-site at NVIDIA GTC.We talked about what Arango is building and why it is starting to show up more in serious enterprise conversations.If you have not come across them yet, worth a look: https://arango.ai/What stood out to me was how they are thinking beyond just being “another database company” and leaning into something much bigger around context and how enterprises actually use data.Next week, I am sitting down with Ravi for a deeper podcast. We are going to unpack some real questions that I think a lot of people in data and AI are already thinking about: • Why move from enterprise roles to Arango • What makes Arango interesting right now • Are they a database company, a context layer, or something else entirely • How they evolved so quickly • Everyone claims to be an AI company, what actually makes them different • Real enterprise use cases • What the next 2–3 years look likeThis is going to be a candid conversation.Stay tuned.#data #ai #AWSPartner #arango #NVIDIAGTC #theravitshow

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

In the new AI world, reality, usefulness and human characteristics blend causing real technology challenges – especially in robots. They've become perceptive. They think. Robots act and engage with humans and the real world around them using predictive intelligence. With the aging population, labor shortages, and increasing labor costs, these traits are becoming increasingly useful as we search to find new ways to automate things, increase productivity, and improve services. In this podcast, we'll explore the path of physicalizing AI in robotics with the help of hardware and software tools. We'll also discuss the benefits and challenges of creating robots as the lines between digital intelligence and physical reality blurs.  

In a new pharmaphorum podcast, web editor Nicole Raleigh was joined by Rob DiCicco, vice president of portfolio management at Transcelerate Biopharma Inc, for a conversation on the barriers and the breakthroughs in making AI work in drug development and clinical trials. DiCicco discusses why AI adoption in clinical trials is so different from preclinical research and development, as well as how synthetic control arms and in silico modelling reshape trial design, and he touches upon the need for making AI solutions meet not just regulatory and scientific standards, but ethical standards, also. You can listen to episode 250 of the pharmaphorum podcast in the player below, download the episode to your computer, or find it - and subscribe to the rest of the series – on Apple Podcasts, Spotify, Overcast, Pocket Casts, Podbean, and pretty much wherever else you download your other podcasts from.

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

Matt Paige interviews Vishnu Hari (Vish), CEO and founder of Ego (YC W24), about shifting focus from AGI to “humanness”: AI characters that behave like people through memory, emotions, personality, needs, and desires.Referencing Ego's paper “Behavior is All You Need,” Vish argues consumer AI for entertainment must be relatable and character-like rather than purely task-smart, drawing inspiration from MMORPG social dynamics and Character.AI's appeal.Ego initially pursued a 3D sim-world vision inspired by Sword Art Online and Westworld, but found accessibility, game development, and perception latency challenging; internal Roblox tests (“Chatterblocks”) showed the key gap is natural speech beyond turn-taking.Vish discusses simulations as a path toward real-world robotics via a partnership with Menlo AI, critiques task-bound robots versus agents with inner lives, suggests retention as the main metric, and shares views on AGI definitions, safety in entertainment, technology impacts, simulation theory, and consciousness.Ego's work is at egoai.com and the company is hiring in SF, Singapore, and Tokyo.--Key Moments:00:57 Behavior Is All You Need02:41 Anatomy of Humanlike Agents03:29 Game Bots to Real People05:10 Building Ego and Sim Worlds06:35 Why Speech Feels Human08:27 From Sims to Robotics10:29 Her vs Helper Robots13:17 Measuring Humanness by Retention15:27 Continual Learning and Personality16:57 Meta Lessons on Empty Worlds18:08 Lightning Round on AGI20:31 IP Characters vs UGC Worlds21:55 Risks and Just Tuesday24:11 Simulation and Consciousness--Key Links:EgoConnect with Rowan on LinkedInMentioned in this episode:Free report from HatchWorks AI — State of AI 2026What's real in AI this year, what's hype, and what leaders should prioritize — including production lessons, designing for agents, and governance. https://hatchworks.com/state-of-ai-2026/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.

A battle is being waged in the United States between a company called Anthropic and the US Pentagon, and it's all over rules about using AI for mass domestic surveillance and autonomous weapons. Anthropic is refusing to comply with requests from the Pentagon, and now President Trump has announced the entire federal government will stop working with Anthropic. Finn Hogan joins Jesse to explain why we should care, and shares introductory tips for using AI to your benefit.

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

AI is everywhere, but turning it into lasting value is a challenge for every organization. In this episode of #shifthappens, Claire Engels, Senior Manager for Collaboration Experience & Productivity at Versuni, shares how to make AI adoption practical, sustainable, and people-first. From building momentum with small wins to keeping teams engaged beyond the initial rollout, Claire explores what it takes to move AI from hype to habit.

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.

(05:13) Brought to you by Sweep AISweep is the fastest coding assistant for JetBrains. It lets you write code 10x faster. Finally, AI that works in JetBrains. Download for free at ⁠sweep.dev⁠.What if Southeast Asia had its own ChatGPT that cost 20x less? Bruce Yang built Agnes AI to solve what global companies ignore: accessible AI for emerging markets.In this episode, Bruce Yang, CEO and founder of Agnes AI, explains how he's built Southeast Asia's fastest-growing AI platform with 4 million registered users and 300K daily active users. After working at Microsoft and LinkedIn in Silicon Valley, Bruce returned to Singapore and started his PhD at NUS right before COVID, positioning him perfectly to ride the AI wave. Agnes AI uses smaller, specialized models trained on Southeast Asian languages and local user data to deliver productivity features like deep research, PowerPoint generation, and AI-powered group chats at 1/20th the cost of major competitors. We discuss the challenges of building AI for emerging markets, the importance of keeping humans in the loop for critical thinking, and why Bruce believes the future of AI belongs to applications, not just models.Key topics discussed:Making AI 20x cheaper than ChatGPTWhy Southeast Asia needs its own AI modelsUsing multi-agent systems to reduce hallucinationsAI group chats and social featuresCritical thinking in an AI-assisted worldWhy Agnes avoids the AI coding spaceAI bubble debate: hype vs. real valueGetting emerging markets to adopt AISubscription vs. pay-per-use business modelsTimestamps:(00:00:00) Trailer & Intro(00:02:49) Why Did Bruce Start a PhD During COVID to Build an AI Company?(00:06:16) Why Build Another AI Model When Thousands Already Exist?(00:09:48) How Is Agnes AI Cheaper and Faster Than ChatGPT?(00:14:00) Does Agnes AI Support Southeast Asian Languages and Cultures?(00:15:34) How Does Agnes AI Handle Local Languages Better Than Global Models?(00:17:57) How Does Agnes AI Reduce Hallucinations?(00:20:03) What Can Agnes AI Do That ChatGPT Cannot?(00:25:31) Why Is AI in Group Chats the Next Big Thing?(00:29:18) How Does Agnes AI Keep Your Private Group Conversations Secure?(00:31:41) Will AI Make Us Lose Our Critical Thinking Skills?(00:37:43) Should Children Use AI for Schoolwork?(00:40:27) Can Agnes AI Help With Coding Like Cursor?(00:43:07) Will Everyone Host Their Own AI Model in the Future?(00:47:39) Is AI a Bubble or Real Economic Transformation?(00:51:01) How Can Southeast Asians Start Using AI Today?(00:53:56) What Are Real-World Examples of People Using Agnes AI?(00:57:30) How Does Agnes AI Make Money While Offering Free Features?(01:01:19) 3 Tech Lead Wisdom_____Bruce Yang's BioBruce Yang is the founder and CEO of Agnes AI, a consumer AI platform making intelligence more collaborative, creative, and accessible. A Raffles Institution graduate, he studied Math and Computer Science at UC Berkeley, earned a Master's from HEC Paris, and is pursuing a PhD at NUS. He previously worked at Microsoft and LinkedIn in Silicon Valley.Agnes AI redefines how people interact with AI through group chats, AI-assisted games, real-time content creation, slides generation, and research tools. Bruce envisions AI as a shared experience that amplifies human creativity and collaboration, enhancing rather than replacing human thinking and imagination.Follow Bruce:LinkedIn – linkedin.com/in/tongbruceyangAgnes AI - https://agnes-ai.com/Email – bruce@sapiens-ai.ioLike this episode?Show notes & transcript: techleadjournal.dev/episodes/246.Follow @techleadjournal on LinkedIn, Twitter, and Instagram.Buy me a coffee or become a patron.

Send us a textCarl Orsbourn of Invisible joins Zack Oates to unpack what AI really means for restaurant operators and guest experience. Rather than chasing hype, Carl explains how AI can be used practically to support teams, reduce friction, and create better outcomes for both guests and employees.Zack and Carl discuss: Why AI should support people instead of replacing them How operators can use AI to remove busywork from teams Where AI can improve consistency and execution What restaurant leaders often misunderstand about automation How thoughtful AI adoption can elevate the guest experienceThanks, Carl!Links:https://www.linkedin.com/in/carlorsbourn/https://www.linkedin.com/company/invisible-technologies-inc-/about/https://invisibletech.ai/

Most leaders have mandated AI pilots, but few can claim it's fundamentally changed their operations. Why is the gap between experiment and transformation so persistent? Courtney Baker, David DeWolf, and Mohan Rao discuss how to escape the "forever pilot" trap in part three of our change management series. They explore why tools start the change but rituals sustain it, and how to shift AI from a special project to the way business gets done. Pete Buer also joins to break down new research from HBS on why AI-enabled teams outperform lone power users—and the new management skills required to lead them. Then, Pete interviews Scott D. Anthony, Clinical Professor at Dartmouth's Tuck School of Business. Scott explains why you should treat AI as a teammate rather than an oracle, using it to challenge groupthink while navigating the organizational politics of data access. Insights you won't want to miss: Why internal "product-market fit" for AI tools expires every 90 days. The "gym analogy" for building decision-making wisdom. The critical difference between one-way and two-way door decisions. Watch the full episode on YouTube: https://www.youtu.be/4_m9fzfEao4 Try Knownwell free for 30 days: https://www.knownwell.com/30days Get Scott Anthony's new book, Epic Disruptions: 11 Innovations That Shaped Our Modern World. 

Send us a textDora Palfi is the Co-founder and CEO of imagi, an edtech company reimagining computer science education through creative coding and AI. A Forbes 30 Under 30 honoree, Dora has a background in neuroscience, human-computer interaction, and technology, and is a passionate advocate for equitable access to future-ready skills.Special note: Free access to the Lovable × imagi collaboration has been extended through March 31, giving educators and students more time to explore professional AI tools in real classroom settings.

In this episode of the AI Agent & Copilot Podcast, host Giuseppe Ianni, Cloud Wars Analyst and thought leader, sits down with Bob McAdam, Head of Strategic Partnerships at Tasklet and a Programming Committee member for the 2026 AI Agent & Copilot Summit NA. Together, they explore how AI has evolved from hype to hands-on reality, what attendees can expect at this year's summit, and why practical, ERP-focused use cases are now top of mind for partners and end users alike.Key TakeawaysFrom Talk to Tangible Value: AI conversations have evolved rapidly over the past year, and McAdam emphasizes that organizations are now demanding proof of value. Businesses no longer want abstract discussions about Copilots—they want to see how agents improve ERP workflows, automate repetitive tasks, and drive measurable efficiency. This shift reflects a broader maturity in the market, where curiosity has turned into expectation.Session Selection Beyond the Buzzwords: As a Programming Committee member, McAdam looks for sessions that go deeper than hype. He values speakers who bring specificity—manufacturing, distribution, documentation, or customer service—rather than generic AI narratives. Even “unsexy” topics like process documentation earn a place because of their real-world importance.AI as a Career Accelerator: The conversation highlights that AI adoption isn't just about company transformation—it's also about individual growth. Many attendees come to the summit to build personal competitive advantage, learning skills and mental models they can apply immediately. Experimenting with AI in personal workflows often becomes the gateway to professional adoption. Visit Cloud Wars for more.

In this episode of The Digital Executive, host Brian Thomas sits down with David Mainiero, Chief AI Officer at AI Digital and leader of AI Digital Labs, to explore how organizations can move beyond AI experimentation and achieve real enterprise impact. David shares how his entrepreneurial journey—from founding tech-enabled companies to enabling AI adoption in Fortune 100 legal departments—shapes his practical approach to enterprise AI strategy. The conversation covers why many companies get stuck in “pilot purgatory,” what it takes to operationalize AI at scale, and how leaders can balance quick wins with long-term transformation. David also discusses emerging AI use cases in research, strategy, and agent-driven workflows, and explains why leadership, communication, and employee empowerment will define the next generation of AI-first enterprises.If you liked what you heard today, please leave us a review - Apple or Spotify. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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

How much value do your developers actually get to deliver in a typical week, and how much of their time is quietly lost to meetings, context hunting, and process drag? I'm joined by Phil Heijkoop, Global Practice Head of Developer Experience at Valiantys, for a conversation that cuts through the hype surrounding AI and asks a harder question about why so many engineering teams still struggle to see meaningful returns.  Phil argues that most organizations are only unlocking a small fraction of a developer's true contribution, not because of a lack of talent, but because process drag slowly squeezes out deep, focused work. AI, he explains, does not fix this by default. Without the right foundations in place, it simply accelerates the wrong work at scale. We explore the long shadow cast by the "move fast and break things" mindset and why that philosophy becomes risky inside regulated, enterprise environments where resilience and trust matter more than speed alone. Phil shares what he sees when organizations chase shiny new tooling while ignoring technical debt, unclear standards, and fragile workflows.  From protecting uninterrupted time for deep work to automating manual friction points and setting shared guardrails, he outlines how teams can realistically unlock three to five times more output before AI even enters the picture. Only then, he says, does AI act as a multiplier rather than a source of chaos. The conversation also digs into developer experience as a business lever, not a perk, and why leadership clarity, cultural trust, and consistent standards matter as much as tooling choices. We discuss the growing risks in the software supply chain, the sustainability of open source dependencies, and what recent high-profile retirements signal for enterprise teams that depend on them.  If AI is accelerating your organization in the wrong direction, what foundational changes would you need to make today to ensure it amplifies value instead of friction, and how honest are you willing to be about what is really slowing your teams down? Useful Links Connect with Phil on LinkedIn Learn more about Phil's work Valiantys Website Tech Talks Daily is sponsored by Denodo  

AI podcasts. JLR is making AI videos. Bernie Kosar received twenty-one-year-old Bryce Dunlap's liver. A newly released app, 2WAI, creates an AI avatar of any person living or dead. See omnystudio.com/listener for privacy information.

AI podcasts. JLR is making AI videos. Bernie Kosar received twenty-one-year-old Bryce Dunlap's liver. A newly released app, 2WAI, creates an AI avatar of any person living or dead. 

Yoshua Bengio, considered by many to be one of the godfathers of AI, has long been at the forefront of machine-learning research . However, his opinions on the technology have shifted in recent years — he joins us to talk about ways to address the risks posed by AI, and his efforts to develop an AI with safety built in from the start. Nature: ‘It keeps me awake at night': machine-learning pioneer on AI's threat to humanity Hosted on Acast. See acast.com/privacy for more information.

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.