Podcasts about ai innovation

In this episode, I am joined by Charles Southwood, Regional GM of Denodo Technologies, a company recognised globally for its leadership in data management. With revenues of $288M and a customer base that includes Hitachi, Informa, Engie, and Walmart, Denodo sits at the heart of how enterprises access, trust, and act on their data. Charles brings over 35 years of experience in the tech industry, offering both a long-term view of how the data landscape has evolved and sharp insights into the challenges businesses face today. Our conversation begins with a pressing issue for any organisation exploring generative AI: data reliability. With many AI models trained on vast amounts of internet content, there is a real risk of false information creeping into business outputs. Charles explains why mitigating hallucinations and inaccuracies is essential not just for technical quality, but for protecting brand reputation and avoiding costly missteps. We explore alternative approaches that allow enterprises to benefit from AI innovation while maintaining data integrity and control. We also examine the broader enterprise pressures AI has created. The promise of reduced IT costs and improved agility is enticing, but how much of this is achievable today and how much is inflated by hype? Charles shares why he believes 2025 is a tipping point for achieving true business agility through data virtualisation, and what a virtualised data layer can deliver for teams across IT, marketing, and beyond. Along the way, Charles reflects on the industry shifts that caught him most by surprise, the decisions he would make differently with the benefit of hindsight, and the one golden rule he would share with younger tech professionals starting their careers now. This is a conversation for anyone who wants to understand how to harness AI and advanced data integration without falling into the traps of poor data quality, overblown expectations, or short-term thinking.

As the AI landscape rapidly evolves, organizations are striving to balance a bold, long-term vision with agile, short-term actions that drive innovation and business transformation. But success does not just depend on strategy; it requires a fundamental shift in organizational behavior, mindset, and culture. What steps do technology leaders need to take to prepare today's workforce for tomorrow's AI-powered roles?  Join this discussion on how organizations can enable employees to grow with AI, cultivating a culture of curiosity that drives business transformation and prepares the workforce for future challenges.  Featured experts Borika Vucinic, President of the Board, North American Broadcasters Association 

AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support. How does a 150,000-employee global leader make AI work at scale? In this episode of Eye on AI, host Craig Smith sits down with Julia Peyre, Head of AI Strategy & Innovation at Schneider Electric, to explore how the company is pioneering enterprise AI adoption through its AI Hub, hybrid AI systems, and real-world digital twin applications. From breaking data silos and embedding AI into hardware, to partnering with startups and building predictive maintenance solutions, Julia shares a blueprint for bringing AI from pilot programs to full-scale deployment, across both internal processes and customer-facing products. Stay Updated: Craig Smith on X:https://x.com/craigssEye on A.I. on X: https://x.com/EyeOn_AI (00:00) Preview and Intro (01:58) Meet Julia Peyre & Her Role(03:19) Inside Schneider's AI Hub(05:51) AI in Industrial Automation & Robotics(08:43) Internal vs External AI Applications(13:54) Why Schneider Is Ahead in AI Adoption(15:57) Centralized AI Hub Model(19:38) Hybrid AI: Combining Physics & Data(25:44) Early Steps in Multi-Agent Systems(29:54) Breaking Data Silos for AI at Scale(32:02) Predictive Maintenance with Hybrid AI(37:03) Long-Term View on AI Automation(42:37) Advice for Young Professionals in AI(44:21) Framework for Evaluating AI Solutions(50:19) Involving End Users in AI Testing

Brian Fuller, a member of the Product Policy Team at OpenAI, joins Kevin Frazier, the AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to analyze how large AI labs go about testing their models for compliance with internal requirements and various legal obligations. They also cover the ins and outs of what it means to work in product policy and what issues are front of mind for in-house policy teams amid substantial regulatory uncertainty.Find Scaling Laws on the Lawfare website, and subscribe to never miss an episode.To receive ad-free podcasts, become a Lawfare Material Supporter at www.patreon.com/lawfare. You can also support Lawfare by making a one-time donation at https://givebutter.com/lawfare-institute.Support this show http://supporter.acast.com/lawfare. Hosted on Acast. See acast.com/privacy for more information.

This ChatGPT announcement is more important than GPT-5.Seriously.This week, OpenAI (kinda) quietly released its first open-source model since 2019.Us AI dorks are talking about it… but the business landscape is crickets.(As everyone gets hyped for GPT-5 today.)But…. Hot take on a Thursday shorties: ChatGPT's new Open Source Model will be a bigger step forward for AI tech than GPT-5 and it's not even close.Join us to find out why, how business development could change, and who will be the winners and losers.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:OpenAI Releases GPT OSS Open Source ModelComparison: GPT OSS vs GPT-4 Level ReasoningImpact on AI Industry Competitors & StrategyApache 2.0 License vs Meta Llama RestrictionsBusiness Benefits: Local, Secure, Free AI DeploymentTechnical Specs: 20B and 120B Parameter VersionsAI Model Customization, Fine-Tuning, and Edge UseWinners and Losers: Nvidia, Google, API ProvidersEdge Computing and On-Device AI FutureOpen Source AI Risks and Safety ConcernsGlobal AI Race: US vs China Open SourceAcceleration of AI Innovation and Model DevelopmentTimestamps:00:00 "ChatGPT's Game-Changing Open Source"05:27 Open Source AI Models Explained07:23 OpenAI's New Open-Source Model11:30 Affordable High-Performance Language Models15:54 Meta's Shift Toward Proprietary Models17:56 "AI Model Customization and Deployment"20:38 Leveraging AI for Cost Efficiency26:13 OpenAI's Strategic Competitive Advantage27:58 OpenAI's Strategic Dominance Forecast31:33 "Anticipating Google's Gemma 4 Impact"35:18 Apple's Future in AI-Powered Phones39:11 AGI: The New Global SuperpowerKeywords:GPT OSS, OpenAI, ChatGPT open source, GPT-OSS, GPT4O level reasoning, Open source AI model, Apache 2.0 license, Reasoning model, Local AI models, AI edge computing, On-device AI, Downloadable AI model, 21B parameter model, 120B parameter model, AI model fine tuning, Commercial use AI, Chain of thought, Agentic tasks, Tool use AI, Secure AI deployment, Data privacy, API providers, AI innovation, Chinese open source AI, Meta Llama, MMLU benchmark, Nvidia GPU, Microsoft Azure, AWS Bedrock, Hugging Face, Cloud AI, AI business strategy, AI market disruption, AI mid tier competitors, AI scalability, Patent protection, Cybersecurity, Bioweapon risks, Global AI race, AGI acceleration, Model weights releaSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

In this episode of In AI We Trust?, cohosts Miriam Vogel and Nuala O'Connor are joined by Adam Thierer, resident senior fellow @ R Street's Tech & Innovation team. Adam weighs in on the Trump Administration's AI Action Plan, the importance of Congress in developing AI policy, and existing legal principles and practices that help define the new digital and AI age. They focused on the mandate for AI literacy, as well as the necessity of AI technologies being regulated in a transparent and trustworthy way that end users, and particularly consumers, can understand.

New AI systems promise streamlined public administration. But flawed implementation could disrupt critical services. We break down how this technology could help or harm.Try AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle/about

GSD Presents: Top Global Startups with Ankur Gigras Healing India: AI, Innovation, and the Challenge of Healthcare Startups July 14th, Monday

Renée DiResta, an Associate Research Professor at the McCourt School of Public Policy at Georgetown and a Contributing Editor at Lawfare, and Alan Rozenshtein, an Associate Professor at Minnesota Law, Research Director at Lawfare, and, with the exception of today, co-host on the Scaling Laws podcast, join Kevin Frazier, the AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to take a look at the Trump Administration's Woke AI policies, as set forth by a recent EO and explored in the AI Action Plan.Read the Woke AI executive orderRead the AI Action PlanRead "Generative Baseline Hell and the Regulation of Machine-Learning Foundation Models," by James Grimmelmann, Blake Reid, and Alan RozenshteinFind Scaling Laws on the Lawfare website, and subscribe to never miss an episode.To receive ad-free podcasts, become a Lawfare Material Supporter at www.patreon.com/lawfare. You can also support Lawfare by making a one-time donation at https://givebutter.com/lawfare-institute.Support this show http://supporter.acast.com/lawfare. Hosted on Acast. See acast.com/privacy for more information.

When AI systems hallucinate, run amok, or fail catastrophically, the consequences for enterprises can be devastating. In this must-watch CXOTalk episode, discover how to anticipate and prevent AI failures before they escalate into crises.Join host Michael Krigsman as he explores critical AI risk management strategies with two leading experts:• Lord Tim Clement-Jones - Member of the House of Lords, Co-Chair of UK Parliament's AI Group• Dr. David A. Bray - Chair of the Accelerator at Stimson Center, Former FCC CIOWhat you'll learn:✓ Why AI behaves unpredictably despite explicit programming✓ How to implement "pattern of life" monitoring for AI systems✓ The hidden dangers of anthropomorphizing AI✓ Essential board-level governance structures for AI deployment✓ Real-world AI failure examples and their business impact✓ Strategies for building appropriate skepticism while leveraging AI benefitsKey ideas include treating AI as "alien interactions" rather than human-like intelligence, the convergence of AI risk with cybersecurity, and why smaller companies have unique opportunities in the AI landscape.This discussion is essential viewing for CEOs, board members, CIOs, CISOs, and anyone responsible for AI strategy and risk management in their organization.Subscribe to CXOTalk for more expert insights on technology leadership and AI:

Dive into a thought-provoking conversation with Rachel Bolton and Mike Cooke as they unravel the complexities of AI and its impact on the modern workplace. In this episode, they challenge conventional wisdom with unpopular opinions and explore why organizations must reinvent themselves every three years to stay relevant. Whether you're a leader looking to drive innovation or simply curious about the future of work, this episode offers valuable insights and practical advice.

In this episode, we sit down with Sriram P H, the Co-Founder & CEO of DaveAI, a groundbreaking AI-driven sales augmentation platform. Sriram shares his incredible entrepreneurial journey, starting from his childhood in a tea estate to his early ventures, including an omni-channel pet store, and the pivotal moments that led to the creation of DaveAI.We dive deep into the technology behind DaveAI, exploring their patented "Empathetic AI," the powerful GRYD platform, and how they leverage Small Language Models (SLMs) to create hyper-personalized sales experiences. Sriram discusses their go-to-market strategy, focusing on the automotive, retail, and BFSI sectors, and shares insights from working with major brands like Maruti Suzuki and Karnataka Bank.Finally, Sriram offers his perspective on the rapid pace of innovation in the AI industry and provides invaluable advice for new-age entrepreneurs.Chapters(00:00) - Introduction(00:36) - Sriram's Background & Early Career(02:29) - The Spark of Entrepreneurship(04:42) - First Venture: The Omni-Channel Pet Store(05:56) - The Genesis of SocioGraph(09:35) - The Pivot to DaveAI(12:44) - The Premise Behind DaveAI(17:24) - Target Industries & Use Cases(19:48) - The Patented AI Stack & "GRYD" Platform(26:04) - Keeping Up with the Pace of AI Innovation(30:34) - The Future of DaveAI: Deep Dive into Mobility(35:41) - The Power of Small Language Models (SLMs)(40:34) - Advice for New-Age Entrepreneurs(44:51) - Final Thoughts

We take a close look at recent changes in AI policy introduced by the Trump administration. Learn how these shifts could affect international competitiveness and national security. This episode provides insight into a fast-changing political tech landscape. Special focus is given to innovation support. In this talk, we draw comparisons to prior administrations' approaches to tech.Try AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle/about

Janet Egan, Senior Fellow with the Technology and National Security Program at the Center for a New American Security; Jessica Brandt, Senior Fellow for Technology and National Security at the Council on Foreign Relations; Neil Chilson, Head of AI Policy at Abundance Institute; and Tim Fist, Director of Emerging Technology Policy at the Institute for Progress join Kevin Frazier, the AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare for a special version of Scaling Laws.This episode was recorded just hours after the release of the AI Action Plan. About 180 days ago, President Trump directed his administration to explore ways to achieve AI dominance. His staff has attempted to do just that. This group of AI researchers dives into the plan's extensive recommendations and explore what may come next.Find Scaling Laws on the Lawfare website, and subscribe to never miss an episode.To receive ad-free podcasts, become a Lawfare Material Supporter at www.patreon.com/lawfare. You can also support Lawfare by making a one-time donation at https://givebutter.com/lawfare-institute.Support this show http://supporter.acast.com/lawfare. Hosted on Acast. See acast.com/privacy for more information.

iOS 26 Beta 4 update brings back glass effects, AppleCare One live signup and walkthrough, OpenAI ChatGPT Agent and why AI browsers can be incredibly useful, Apple's lawsuit against Jon Prosser over iOS 26 leaks, and more!Bonus Episode: CBS Cancels Stephen Colbert - Listen here------------------------------Show Notes via EmailSign up to get exactly one email per week from the Primary Tech guys with the full episode show notes for your perusal. Click here to subscribe.------------------------------Watch on YouTube!Subscribe and watch our weekly episodes plus bonus clips at: https://youtu.be/FOkeI9z-hZo------------------------------Join the CommunityDiscuss new episodes, start your own conversation, and join the Primary Tech community here: social.primarytech.fm------------------------------Support the showGet ad-free versions of the show plus exclusive bonus episodes every week! Subscribe directly in Apple Podcasts or here if you want chapters: primarytech.memberful.com/join------------------------------Reach out:Stephen's YouTube Channel@stephenrobles on ThreadsStephen on BlueskyStephen on Mastodon@stephenrobles on XJason's Inc.com Articles@jasonaten on Threads@JasonAten on XJason on BlueskyJason on Mastodon------------------------------We would also appreciate a 5-star rating and review in Apple Podcasts and SpotifyPodcast artwork with help from Basic Apple Guy.Those interested in sponsoring the show can reach out to us at: podcast@primarytech.fm------------------------------Links from the showEverything New in iOS 26 Beta 4 - MacRumorsiOS 26 beta 4 re-enables Apple Intelligence notification summaries for news apps - 9to5MaciOS 26 beta 4 brings Silence Unknown Callers to Call Screening - 9to5MacApple introduces AppleCare One, streamlining coverage into a single plan - AppleSonos Names Tom Conrad Permanent CEO as He Pursues Comeback - BloombergOpenAI's new ChatGPT Agent can control an entire computer and do tasks for you | The VergeApple Sues Jon Prosser Over iOS 26 Leaks - MacRumorsTrump unveils AI Action Plan | The VergePerplexity Comet (00:00) - Intro (01:41) - iOS 26 Glass is Back (07:57) - AppleCare One Subscription (16:07) - Sonos Appoints CEO (22:37) - ChatGPT Agent (24:57) - Apple Sues Jon Prosser (44:39) - Trump on AI Innovation (48:34) - AI Video and Trust (53:49) - AI Browsers!! ★ Support this podcast ★

Janet Egan, Senior Fellow with the Technology and National Security Program at the Center for a New American Security, Jessica Brandt, Senior Fellow for Technology and National Security at the Council on Foreign Relations, Neil Chilson, Head of AI Policy at Abundance Institute, and Tim Fist, Director of Emerging Technology Policy at the Institute for Progress join Kevin Frazier, the AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare for a special version of Scaling Laws.This episode was recorded just hours after the release of the AI Action Plan. About 180 days ago, President Trump directed his administration to explore ways to achieve AI dominance. His staff has attempted to do just that. This group of AI researchers dives into the plan's extensive recommendations and explore what may come next. Hosted on Acast. See acast.com/privacy for more information.

Registrations are now open for the National AI Challenge 2025, a hackathon-style initiative by TechIreland, for developers and AI enthusiasts from across Ireland to collaborate and build practical AI solutions addressing real-world problems. With strong uptake recorded from across developer communities, organisers are expecting to complete registrations before 10th August - the scheduled closing date. Inspired by Ireland's national AI strategy, "AI - Here for Good," the Challenge emphasises people-centred, ethical AI development across diverse sectors including FinTech, InsurTech, Health, Enterprise Solutions, Public Services, ImmersiveTech, Sustainability, among other impact-driven themes. National AI Challenge 2025 to Drive AI Innovation Supported by Enterprise Ireland, Data2Sustain EDIH, Google, and OpenAI, the 2025 Challenge has attracted interest and support from prominent industry groups such as ITAG, InsTech.ie, and Eirmersive, alongside global companies implementing AI such as Millennium Management and the leading AI Platform, Workday - both organisations expanding their presence in Ireland, reflecting the country's world-class technology talent. With hundreds of participants signing-up, ten leading innovation hubs have stepped forward to support as Challenge Venues and host the final in-person day, following two-week of remote collaboration. This year, teams are encouraged to develop either innovative solutions or efficiency-driven agentic workflows to tackle pressing industry challenges. Google and OpenAI provide participants with complimentary access to their advanced AI tools, along with technical guidance from their teams. Both organisations have been longstanding supporters of the initiative, ensuring a valuable educational experience for participants. Now entering its second year, the Challenge has expanded its network to include nearly 30 partner organisations and coding communities nationwide to enhance collaboration and impact. On 11th August, all registered participants will be invited to the AI Challenge opening webinar for briefings and guidelines. Sean Blanchfield - Founder & CEO of agentic AI startup Jentic, will talk about building with AI primer, inspiring the application of AI for meaningful outcomes. These top teams announced on the final in-person day will have the opportunity to showcase their projects at the National AI Meet 2025 on 18th September in Galway, where the National AI Challenge 2025 winners will be announced. Participants from last year reported a steep learning curve during the Challenge, with two teams even evolving into fledgling startups. The National AI Challenge Steering Group is confident that this year's Challenge will also bring to light innovative solutions and workflows. Challenge Highlights An ideation and consultation period to shape ideas with sector and technical experts Two full weeks to build AI solutions Local demo events at more than 10 hubs nationwide A final showcase for top teams at the National AI Meet in Galway on 18 September Key Dates 10 August: Registration closes (free to enter) 11 August to 21 August: Team formation, ideation webinars and preparation 22 August to 4 September: Build phase 5 September: Regional in-person presentation day 18 September: National showcase in Galway Participants must be based in Ireland or Northern Ireland, and must be at least 18 years of age. The event continues to champion the principles of ethical AI design, inclusion, and collaboration, placing a strong emphasis on learning and impact over competition. For more information, and to register: CLICK Commentary from Key Stakeholders: Brian Caulfield, Chair - TechIreland: TechIreland is proud to be hosting the second edition of the National AI Challenge, together with our sponsors and supporters. AI is here to stay and will have profound impacts on society. We can't ignore it. Ireland needs to be a leader in driving considered, ethical adoption of AI. We hope that the National...

In this Scaling Laws Academy "class," Kevin Frazier, the AI Innovation and Law Fellow at Texas Law and a Senior Editor at Lawfare, speaks with Eugene Volokh, a Senior Fellow at the Hoover Institution and long-time professor of law at UCLA, on libel in the AI context. The two dive into Volokh's paper, “Large Libel Models? Liability for AI Output.” Extra credit for those who give it a full read and explore some of the "homework" below:“Beyond Section 230: Principles for AI Governance,” 138 Harv. L. Rev. 1657 (2025)“When Artificial Agents Lie, Defame, and Defraud, Who Is to Blame?,” Stanford HAI (2021)Find Scaling Laws on the Lawfare website, and subscribe to never miss an episode.To receive ad-free podcasts, become a Lawfare Material Supporter at www.patreon.com/lawfare. You can also support Lawfare by making a one-time donation at https://givebutter.com/lawfare-institute.Support this show http://supporter.acast.com/lawfare. Hosted on Acast. See acast.com/privacy for more information.

How I Grew a Pet Spa Business Across the Country!From Family Biz to 200+ Locations: Michael Seitz's Earthwise Pet Empire & AI Innovation | Full Interview00:00 - Intro: Meet Michael Seitz, CEO of Earthwise Pet01:52 - How Earthwise Grew to 200+ Stores Nationwide05:45 - From Dentistry to Business: A Career Pivot08:33 - The Impact of an MPA on Leadership Style11:47 - Wearing Every Hat: The Early Franchise Days15:10 - Hitting 50 Locations: The Turning Point18:35 - The Business of Pets: Why the Industry is Recession-Proof21:22 - Ask Erica: AI-Powered Pet Nutrition Education24:40 - Building a Franchise Team You Can Trust27:15 - Sustainability in Pet Care: Going Green with Purpose30:20 - Seitz's Advice on Franchising Smart34:05 - Stress, Mindfulness, and the CEO Lifestyle38:00 - Paddleboards, Jazz & Cafés: Resetting the Soul41:15 - Top Pet Industry Conferences You Should Attend44:18 - The Realities of Scaling a National Franchise47:45 - Global Expansion: Why Asia is the Future51:30 - Daily Decisions, Big Impact: Leading with Intent54:05 - Final Advice: Learn, Adapt, and Stay Grounded57:10 - Where to Follow & Learn More from Mike SeitzChapters:

Interview with Anil Dash egirl Grok x Claude Zuckerberg announces Meta's new AI data centers for superintelligence Meta Hires Two More OpenAI Researchers Reflections on OpenAI RSS is (not) dead (yet) (NED #3) – audra mcnamee Perplexity AI browser Perplexity CEO says its browser will track everything users do online to sell 'hyper personalized' ads Stewart Holbrook: Portland Mythmaker How I Learned to Stop Worrying and Have Fun With A.I. Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Anil Dash Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: helixsleep.com/twit agntcy.org Melissa.com/twit

Interview with Anil Dash egirl Grok x Claude Zuckerberg announces Meta's new AI data centers for superintelligence Meta Hires Two More OpenAI Researchers Reflections on OpenAI RSS is (not) dead (yet) (NED #3) – audra mcnamee Perplexity AI browser Perplexity CEO says its browser will track everything users do online to sell 'hyper personalized' ads Stewart Holbrook: Portland Mythmaker How I Learned to Stop Worrying and Have Fun With A.I. Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Anil Dash Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: helixsleep.com/twit agntcy.org Melissa.com/twit

Interview with Anil Dash egirl Grok x Claude Zuckerberg announces Meta's new AI data centers for superintelligence Meta Hires Two More OpenAI Researchers Reflections on OpenAI RSS is (not) dead (yet) (NED #3) – audra mcnamee Perplexity AI browser Perplexity CEO says its browser will track everything users do online to sell 'hyper personalized' ads Stewart Holbrook: Portland Mythmaker How I Learned to Stop Worrying and Have Fun With A.I. Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Anil Dash Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: helixsleep.com/twit agntcy.org Melissa.com/twit

Interview with Anil Dash egirl Grok x Claude Zuckerberg announces Meta's new AI data centers for superintelligence Meta Hires Two More OpenAI Researchers Reflections on OpenAI RSS is (not) dead (yet) (NED #3) – audra mcnamee Perplexity AI browser Perplexity CEO says its browser will track everything users do online to sell 'hyper personalized' ads Stewart Holbrook: Portland Mythmaker How I Learned to Stop Worrying and Have Fun With A.I. Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Anil Dash Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: helixsleep.com/twit agntcy.org Melissa.com/twit

In today's episode, we dive deep into the world of AI and tech innovation with Michael Abramov, the CEO and Co-Founder of Keymakr and Keylabs.ai. Michael, with a background in R&D management and software engineering, is on a mission to revolutionize industries through data annotation and computer vision-based AI. Keymakr, founded in 2015, specializes in providing high-quality, affordable training data for AI in various sectors, while Keylabs.ai offers cutting-edge data annotation platforms with built-in machine learning. Join us as we explore: ·       What data annotation is in the world of Computer Vision ·       How AI systems determine right from wrong ·       The dangers of data poisoning in AI accuracy Tune in now to discover how Michael and his team are shaping the future of AI technology! You can connect with Michael by visiting his LinkedIn! Episode also available on Apple Podcasts: https://apple.co/38oMlMr

Interview with Anil Dash egirl Grok x Claude Zuckerberg announces Meta's new AI data centers for superintelligence Meta Hires Two More OpenAI Researchers Reflections on OpenAI RSS is (not) dead (yet) (NED #3) – audra mcnamee Perplexity AI browser Perplexity CEO says its browser will track everything users do online to sell 'hyper personalized' ads Stewart Holbrook: Portland Mythmaker How I Learned to Stop Worrying and Have Fun With A.I. Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Anil Dash Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: helixsleep.com/twit agntcy.org Melissa.com/twit

Interview with Anil Dash egirl Grok x Claude Zuckerberg announces Meta's new AI data centers for superintelligence Meta Hires Two More OpenAI Researchers Reflections on OpenAI RSS is (not) dead (yet) (NED #3) – audra mcnamee Perplexity AI browser Perplexity CEO says its browser will track everything users do online to sell 'hyper personalized' ads Stewart Holbrook: Portland Mythmaker How I Learned to Stop Worrying and Have Fun With A.I. Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Anil Dash Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: helixsleep.com/twit agntcy.org Melissa.com/twit

On the 54th episode of Enterprise AI Innovators, hosts Evan Reiser (Abnormal AI) and Saam Motamedi (Greylock Partners) talk with Max Chan, Senior Vice President and Chief Information Officer at Avnet. Avnet is a $20 billion global technology distribution company that plays a critical role in the electronics supply chain, supporting the design, production, and delivery of devices worldwide. In this episode, Max shares how Avnet is utilizing generative AI to transform the way work is done across product design, quoting, customer service, and IT. He outlines their strategic maturity model for AI adoption and why CIOs must lead with experimentation.Quick Hits from Max:On evolving IT's role: "[We] moved away from the monolithic type of solutions into a more cloud-first, digital-centric composable architecture. That change truly helped with driving any and every innovation that we are talking about today.”On framing enterprise AI: "We bucket [AI use] into three types. First, we talk about out-of-the-box generative AI tools… The second bucket is what we like to call embedded AI… Last is truly custom AI solutions."On generative design: "The engineers, instead of coming with three designs [and having] the customer look at it, come back with some recommendations or questions, [and then] they go back to the drawing board; now they can immediately get in front of a customer [and] say, 'hey, look, these are the things that we can do if this is what you want [and] these are the parameters that you're changing.'"Recent Book Recommendation: Competing in the Age of AI by Karim Lakhani.  "A great cheat sheet for CIOs and CDOs on how to get started and what to avoid."-- Like what you hear? Leave us a review and subscribe to the show on Apple, Google, Spotify, Stitcher, or wherever you listen to podcasts.Enterprise AI Innovators is a show where top technology executives share how AI is transforming the enterprise. Each episode covers the real-world applications of AI, from improving products and optimizing operations to redefining the customer experience. Find more great insights from technology leaders and enterprise software experts at https://www.enterprisesoftware.blog/ Enterprise AI Innovators is produced by Josh Meer.

My conversation today is on the necessity of adaptive leadership in the coming wave that is aritificial intelligence. My guest is Kevin Frazier, the newly minted AI Innovation and Law Fellow at The University of Texas School of Law. His article (here) in Law & Liberty is called Building an AI-Savvy Workforce. His new podcast, Scaling Law (here), is excellent. Find his other work at Lawfare (here). Cross & Gavel is a production of CHRISTIAN LEGAL SOCIETY. The episode was produced by Josh Deng, with music from Vexento.

AI isn't just for tech roles or automation; it's a powerful tool for anyone looking to grow, pivot, or future-proof their career. In this episode, Jill discusses using AI to enhance strategic thinking, prep for interviews, and strengthen your job search.You'll learn:How to use AI to identify transferable skills and tailor your resumeWhy most people write bad prompts, and how to fix thatSmart ways to integrate AI into your career planning and professional brandShow Notes:Ready to lead with clarity, confidence, and impact?Take the Make Your Power Move Leadership Assessment and unlock the tools to define your leadership identity, elevate your influence, and step into your next role with purpose. For a limited time, use code POWER to get 50% off. → Start your Power Move today.  Learn More HERESupport the showJill Griffin, host of The Career Refresh, delivers expert guidance on workplace challenges and career transitions. Jill leverages her experience working for the world's top brands like Coca-Cola, Microsoft, Hilton Hotels, and Martha Stewart to address leadership, burnout, team dynamics, and the 4Ps (perfectionism, people-pleasing, procrastination, and personalities). Visit JillGriffinCoaching.com for more details on: Book a 1:1 Career Strategy and Executive Coaching HERE Build a Leadership Identity That Earns Trust and Delivers Results. Gallup CliftonStrengths Corporate Workshops to build a strengths-based culture Team Dynamics training to increase retention, communication, goal setting, and effective decision-making Keynote Speaking Grab a personal Resume Refresh with Jill Griffin HERE Follow @JillGriffinOffical on Instagram for daily inspiration Connect with and follow Jill on LinkedIn

In this episode, Dave Evans, CEO of Fictiv, discusses the journey of his company from its inception to becoming a global player in the manufacturing industry. He shares insights from his experience in the automotive sector, the challenges of scaling supply chains, and the importance of innovation in hardware development.

Cass Madison, the Executive Director of the Center for Civic Futures, and Zach Boyd, Director of the AI Policy Office at the State of Utah, join Kevin Frazier, AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to discuss how state governments are adjusting to the Age of AI. This conversation explores Cass's work to organize the increasing number of state officials tasked with thinking about AI adoption and regulation as well as Zach's experience leading one of the most innovative state AI offices. Hosted on Acast. See acast.com/privacy for more information.

In this episode of #Trending, host Jim Love covers several key tech topics: Google confirms the merging of Chrome OS and Android into a unified platform, a new AI video tool by Moon Valley trains entirely on public domain content, Musk's X AI increases employee surveillance through tracking software, the rivalry between Starlink and Apple's satellite phone service intensifies, and Elmo's official X account is hacked with offensive posts. Each story highlights significant developments and challenges within the tech industry. 00:00 Introduction and Headlines 00:28 Google Merges Chrome OS and Android 02:14 AI Video Tool Uses Public Domain Content 04:12 X AI Increases Employee Surveillance 06:25 Starlink vs Apple on Satellite Phones 08:29 Elmo's X Account Hacked 10:04 Conclusion and Contact Information

In this episode of Lunch With Norm, we sit down with Kashif Zafar, a leading voice in AI automation and eCommerce strategy, to explore how AI agents are revolutionizing the way Amazon sellers operate in 2025. Kashif shares real-world use cases of deploying AI agents to handle everything from customer service and inventory planning to ad optimization and keyword strategy — giving sellers back their time while increasing profit margins. You'll hear how smart sellers are no longer treating AI as just another tool — they're building systems that think, adapt, and scale with their business. Kashif breaks down the mindset shift required to win in today's AI-driven landscape, how to delegate decision-making to machines without losing control, and the major mistakes sellers are still making with automation. This isn't just about ChatGPT — it's about intelligent systems that run your backend, protect your margins, and help you scale faster than ever before. If you're still trying to keep up with manual tasks, inconsistent VA teams, or outdated SOPs, this episode will show you what's possible when you leverage next-generation AI tools built for Amazon sellers. Learn what's working now, what's coming next, and how to future-proof your business before it's too late. Whether you're an FBA seller, DTC brand, or eCommerce agency, this conversation is packed with high-level insights, tools, and tactical ideas you can implement today. Timestamps 00:00 – Amazon Ads Are Changing 02:37 – AI Innovation for Sellers 05:30 – AI as Digital Teammate 09:15 – Smart Brands Using AI 11:58 – AI Agents at Gentex 14:38 – How Agents Are Built 17:53 – Life as an AI Founder 20:46 – GenAI Use Cases 24:03 – Retailers Adopting AI 27:45 – Future of AI Agents 30:50 – Testing AI Tools 35:23 – Tool Selection Tips 40:35 – AI Image Optimization 43:58 – AI & Amazon Flywheel 47:13 – Live Audience Questions 50:01 – Getting Started With AI ______________________________________ This episode is brought to you by Flat World Network: Hey Amazon sellers, Norm here! I've just launched my new agency, Flat World Network. If your listings aren't converting or your sales have hit a ceiling, you're not alone. We help sellers unlock 30% more Amazon sales in just 90 days, using real strategies that work across listings, ads, and backend setup.

The Rise of Sovereign AI and Global AI Innovation in a World of US Protectionism // MLOps Podcast #331 with Frank Meehan, Founder and CEO of Frontier One AI.Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletter// Abstract“The awakening of every single country is that they have to control their AI intelligence and not outsource their data" - Jensen Huang. Sovereign AI is rapidly becoming a fundamental national utility, much like defense, energy or telecoms. Nations worldwide recognize that AI sovereignty—having control over your AI infrastructure, data, and models—is essential for economic progress, security, and especially independence - especially when the US is pushing protectionism and trying to prevent global AI innovation. Of course this has the opposite effect - DeepSeek created by a Hedge Fund in China; India building the world's largest AI data centre (3 GW), and global software teams scaling, learning and building faster than ever before. However most countries lack the talent, financing and experience to implement Sovereign AI for their requirements - and it is our belief at Frontier One, that one of the biggest markets for AI applications, cloud services and GPUs will be global governments. We see it already - with $10B of GPUs in 2024 bought directly by governments - and it's rapidly expanding. We will talk about what Sovereign AI is - both infrastructure and software details / why it is crucial for a nation / how to get involved as part of the MLOps community. // BioCo-Founder of Frontier One - building Sovereign AI Factories and Cloud software for global markets.Frank is a 2X CEO | 2X CMO (with 2X exits + 1 IPO NYSE), Board Director (Spotify, Siri) and Investor (SparkLabs Group) with 20+ years of experience in creating and growing leading brands, products and companies.Chair of Improvability, automating due diligence and reporting for corporates, foundations and Governments with AI.Co-founder and partner at SparkLabs Group - investors in OpenAI, Anthropic, 88 Rising, Discord, Animoca, Andela, Vectara, Kneron, Messari, Lifesum + 400 companies in our portfolio. Investment Committee and LP at SparkLabs Cultiv8 with 56 investments in consumer food and regenerative agriculture companies.Co-founder and CMO - later CEO - of Equilibrium AI (Singapore), building it to one of the leading ESG and Carbon data management platforms globally. Equilibrium was acquired by FiscalNote in 2021, where he joined the senior leadership team, running the ESG business globally, and helping the company IPO in 2022 on the NYSE at $1.1B valuation.Board director at Spotify (2009-2012); Siri (2009-2010 exited to Apple); Lifesum (leading AI health app with 50 million users), seed investor in 88 Rising (Asia's leading independent music label); CEO/CMO and co-founder at INQ Mobile (mobile internet pioneer); and Global Director for devices and products at 3 Mobile.Started as a software developer with Ericsson Mobile in Sweden, after graduating from KTH in Stockholm and the University of Sydney with a Bachelor of Mechanical Engineering, and Master of Science in Fluid Mechanics.// Related Linkshttps://www.frontierone.ai/ and https://www.sparklabsgroup.com~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our Slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Frank on LinkedIn: /frankmeehan/

Ethan Mollick, Professor of Management and author of the “One Useful Thing” Substack, joins Kevin Frazier, the AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, and Alan Rozenshtein, Associate Professor at Minnesota Law and a Senior Editor at Lawfare, to analyze the latest research in AI adoption, specifically its use by professionals and educators. The trio also analyze the trajectory of AI development and related, ongoing policy discussions.More of Ethan Mollick's work: https://www.oneusefulthing.org/Find Scaling Laws on the Lawfare website, and subscribe to never miss an episode.To receive ad-free podcasts, become a Lawfare Material Supporter at www.patreon.com/lawfare. You can also support Lawfare by making a one-time donation at https://givebutter.com/lawfare-institute.Support this show http://supporter.acast.com/lawfare. Hosted on Acast. See acast.com/privacy for more information.

People in the credit business are starting to see just how much AI can do for them. It can improve profits and lower defaults. It can predict demand for new services. It can see past credit scores and comprehensively assess lending risks. That's why AI's role in credit is only going to get bigger going forward. Some people are very excited about that. And some are very worried. AI will lie unless you tell it not to. It will collude on pricing with other AI. Experts say those are a couple reasons why we need to proceed with caution and better understand potential hazards.   Read an outline of the keynote speech at the 68th Economic Conference by UC-Berkeley professor Adair Morse, “AI Innovation for Credit: Frontiers of Benefits & Red Flags.” Watch a recording of the speech.

How Paralex is Revolutionizing Legal Services for Small Business Owners: Insights from the Podcast with Stephen CandelmoIn this episode of The Thoughtful Entrepreneur, host Josh Elledge interviews Stephen Candelmo, CEO of Paralex, about transforming how small businesses access legal services. Stephen shares how his passion for both law and technology led to founding Paralex, a platform that blends AI efficiency with human legal expertise. Listeners will also enjoy a unique personal twist—Stephen's love for sourdough baking, which serves as a powerful metaphor for entrepreneurship.Legal Support, AI Innovation, and the Small Business AdvantageStephen opens the conversation by discussing his deep passion for cooking—particularly sourdough—and how its patience and care reflect the same mindset needed in running a business. This leads into a broader discussion about the common legal hurdles small business owners face, from high costs to confusing language and delayed service.Paralex addresses these challenges through a hybrid model. AI handles client intake and document preparation quickly and affordably, while licensed attorneys review and finalize every document to ensure legal integrity. This approach offers transparency, fixed pricing, and a human touch—making legal support accessible and reliable for entrepreneurs.Stephen walks listeners through the user journey on the Paralex platform, from submitting a request to receiving attorney-reviewed documents. He also offers valuable advice on what to look for in legal tech platforms and why having the right legal foundation early on is crucial for long-term success.About Stephen Candelmo:Stephen Candelmo is the Founder and CEO of Paralex and a seasoned corporate attorney with nearly three decades of experience. His mission is to democratize legal access for small businesses by merging cutting-edge technology with legal professionalism. Through Paralex, Stephen is making legal services faster, more affordable, and approachable for entrepreneurs.About Paralex:Paralex is an AI-powered legal platform designed to provide small business owners with quick, affordable, and attorney-reviewed legal documents. Combining automation and professional oversight, Paralex simplifies legal services without compromising quality.Links Mentioned in this Episode:Stephen Candelmo on LinkedInParalex WebsiteEpisode Highlights:How sourdough baking relates to business and legal careThe biggest legal hurdles for small business ownersHow AI and human expertise combine on the Paralex platformA step-by-step look at how Paralex worksTips for choosing and using legal tech as a small businessConclusionStephen Candelmo shares a compelling vision for the future of legal services—one where small businesses are no longer priced out or left confused by legal complexities. By combining advanced AI with expert legal review, Paralex sets a new standard for accessibility and quality in the legal tech space.Apply to be a Guest on The Thoughtful Entrepreneur: https://go.upmyinfluence.com/podcast-guestMore from UpMyInfluence:We are actively booking guests for our The Thoughtful Entrepreneur.

How do successful product leaders navigate rapid technological change while maintaining a customer-centric approach? In this episode of the CPO Rising Series hosted by Products That Count Resident CPO Renee Niemi, MongoDB Chief Product Officer Sahir Azam will be speaking on transforming product strategy in the age of AI and cloud innovation. Sahir shares insights from MongoDB's journey of transitioning from an open-source database company to a cloud services leader, offering a masterclass in strategic product leadership.

Curious how technology is reshaping the creative process? In this episode we chat with Nik Kleverov about innovation, iteration and what happens when bold ideas meet cutting-edge tools.

President Trump's newly-signed spending bill slashes tax credits for renewable energy, which could have a massive and unexpected impact on big tech's development of AI, especially as China ramps up its electricity generation compared to the U.S. 

Ajay Patel is the General Manager of Apptio and IBM IT automation. He and Kieron Allen sat down to talk about how enterprises are transitioning from AI experimentation to real business impact. They explored key challenges like cost transparency, governance, and data readiness, as well as the rise of agentic AI to automate workflows at scale. Ajay also introduced Apptio's new AI TCO and Usage tool, designed to help CIOs and CFOs measure and optimize AI investments.Smart Spending on AI The Big Themes:Enterprises Are Moving Beyond AI Experiments to Strategic Deployment: The era of AI experimentation is over. Enterprises are now actively deploying AI, particularly in sales, service operations, and software development. However, those achieving meaningful impact are taking a strategic approach, rather than letting teams experiment in silos. The C-suite increasingly sees AI as critical, but that value perception isn't always shared by the wider workforce.AI and IT Budgets: AI now consumes more than 20% of IT budgets, yet overall tech spending is only increasing 4–5%. This creates a 10–15% gap, leading companies to “forward fund” AI initiatives by reallocating from other areas. A key challenge: there's no standardized pricing for AI. To address this, IBM's Apptio launched the AI TCO and Usage solution. It helps CIOs and CFOs baseline current AI investments, measure unit economics, and identify areas to optimize or expand.Agentic AI, the Next Frontier: Agentic AI is key to scaling beyond isolated use cases. It enables automation at scale and connects AI investment to tangible business outcomes. From cost savings in infrastructure to better visibility in FinOps to boosting customer experience, the ROI is clear when deployed correctly. But none of this happens without data readiness, governance, and strategic clarity.The Big Quote: "AI TCO solution fundamentally starts by giving CIOs [and] CFOs in the business a complete view of where the tech spending and AI spending is, and what stage is that? Is it in a pilot phase? Is it for training models?"Learn more:Connect with Ajay Patel on LinkedIn and learn more about Apptio. Visit Cloud Wars for more.

In this episode of The Digital Executive podcast, host Brian Thomas speaks with Ahikam Kaufman, co-founder and CEO of Safe Book's AI. With over two decades of experience in corporate finance, including leadership roles at Intuit, Kaufman shares how his team is revolutionizing financial data governance through intelligent automation. He highlights the unique challenges CFOs face with fragmented financial systems and explains why today's tools often fall short in ensuring accuracy, compliance, and speed.Kaufman delves into the slow adoption of AI in finance compared to other departments, emphasizing how Safe Book's AI is bridging that gap. From automating repetitive tasks to enhancing M&A due diligence, he outlines how AI can transform finance from a reactive function to a strategic powerhouse. If you're a finance leader looking to future-proof your operations, this is a must-listen conversation.If you liked what you heard today, please leave us a review. Apple or Spotify

On the inaugural episode of Scaling Laws, co-hosts Kevin Frazier, AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Law, and Alan Rozenshtein, Professor at Minnesota Law and Research Director at Lawfare, speak with Adam Thierer, a senior fellow for the Technology and Innovation team at the R Street Institute, and Helen Toner, the Director of Strategy and Foundational Research Grants at Georgetown's Center for Security and Emerging Technology (CSET).They discuss the recent overwhelming defeat in the Senate of a proposed moratorium on state and local regulation of artificial intelligence. The conversation explores the moratorium's journey from its inclusion in a House bill to its ultimate failure, examining the procedural hurdles, the confusing legislative language, and the political maneuvering that led to its demise by a 99-to-1 vote. The group discuss the future of U.S. AI governance, covering the Republican party's fragmentation on tech policy and whether Congress's failure to act is a sign of it being broken or a deliberate policy choice.Mentioned in this episode: “The Continuing Tech Policy Realignment on the Right” by Adam Thierer in Medium “1,000 AI Bills: Time for Congress to Get Serious About Preemption” by Kevin Frazier and Adam Thierer in Lawfare “Congress Should Preempt State AI Safety Legislation” by Dean W. Ball and Alan Z. Rozenshtein in Lawfare "The Coming Techlash Could Kill AI Innovation Before It Helps Anyone" by Kevin Frazier in Reason "Unresolved debates about the future of AI" by Helen Toner in Rising Tide Hosted on Acast. See acast.com/privacy for more information.

Apple is gonna pay their competitors to do AI for them. Yiiiiikes. A recent Bloomberg report detailed Apple's failures to build a smart AI Siri and how they may instead hire OpenAI or Anthropic to do the job for them. Our take? You know we're bringing the fire for this #HotTakeTuesday.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Apple's Generative AI Struggles AnalyzedBloomberg Report on Apple's AI PlansApple's AI Strategy Shift with CompetitorsSiri Development Challenges & DelaysApple's AI Failures & Class Action LawsuitsFuture of Apple's AI Innovation DiscussedAnthropic & OpenAI's Role in Apple's AIApple's AI Outsourcing Strategic ImpactTimestamps:00:00 "Everyday AI: Podcast & Newsletter"05:57 "Delayed AI Siri Release"09:41 Apple's AI Struggles Revealed10:47 "Apple's Siri Relies on ChatGPT"16:57 Apple Faces Costly AI Negotiations17:58 Amazon Partners with Anthropic for Alexa23:47 AI Strategy and Training Solutions26:39 Google and Apple's AI Divergence31:27 Meta Advances, Apple Lags in AI32:48 AI Setbacks Could Cost Apple Market CapKeywords:Apple AI, generative AI, Bloomberg report, AI-powered Siri, Apple's AI failure, Siri assistant, strategic pivot, OpenAI, anthropic partnership, Apple innovation, AI development disasters, internal development, Alexa partnership, gen emojis, Apple intelligence, Apple WWDC, AI efforts, smarter Siri, AI redemption story, AI pioneer, industry laggard, privacy narrative, class action lawsuits, vertical integration, small language models, edge AI, on-device AI, AI integration, market cap, AI investment, Meta Superintelligence Labs, Tim Cook, CEO Apple, AI dependency.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

AI is transforming everything—including the way people search, and the way brands show up online. But with Google rolling out AI Overviews and AI Mode and user behavior evolving fast, marketers are asking: Are our SEO strategies still built for what's next?  In this episode of The AI Edit, we cut through the confusion around Generative Engine Optimization, Generative AI in Search Engines , and AI's broader impact on where consumers will seek answers into the future   to help you understand what's changing—and what you can do about it.  To help make sense of it all, I'm joined by two of the minds leading Red Door's strategic response to this shift: our VP of Data & MarTech, Ron Hadler, and our SEO Manager, Angie. Together, we'll unpack the implications for visibility, performance, and content strategy in an AI-powered search landscape

In this conversation, we dive into the world of AI, tech innovation, and data annotation with Michael Abramov, the CEO and Co-Founder of Keymakr and Keylabs.ai. With experience in R&D management and data collection, Michael became a software engineer with one goal in mind: to make a meaningful impact with his work. Whether he's working in agriculture or the automotive industry, he's on a mission to drive technological advancements and breakthroughs in creative ways… Keymakr was founded in 2015 as a response to a need for high-quality and affordable training data for computer vision-based AI. Now, they're developing annotation tools and data collection technology to help their partners and clients in Computer Vision create innovative models.  Keylabs is a state-of-the-art data annotation platform that uses built-in machine learning and efficient operation management to enhance data interpretation. Designed for optimal results, its advanced algorithms are practical for a diverse range of industries, including medicine, automotive, and security. Click play to find out: What data annotation means in the context of Computer Vision.  How boundaries of right and wrong are established within AI systems.  Examples of data poisoning and its impact on the accuracy of AI tools.   You can connect with Michael by visiting his LinkedIn! Episode also available on Apple Podcasts: http://apple.co/30PvU9C

Aaron McIntire highlights the U.S. Army's stunning success in meeting its 2025 recruiting goal of 61,000 soldiers four months early, a turnaround from 2022-2023 shortfalls. Defense Secretary Pete Hegseth credits a morale shift under President Trump's “America First” leadership, emphasizing war-fighting over “politically correct garbage,” boosting enthusiasm across all military branches. McIntire reflects on a heartfelt Iowa National Guard send-off ceremony, noting the sacrifices of “salt of the earth” Americans, but questions U.S. Middle East involvement. A federal judge approves the House settlement, allowing colleges to pay athletes up to $20.5 million annually, ending the amateur model and sparking debate over walk-on athletes and stability in college sports. McIntire criticizes the NCAA's greed-driven history, doubting the settlement will stabilize athletics. In Los Angeles, immigration riots reveal deep polarization: Vice President J.D. Vance questions if foreign nationals assaulting police constitute an “invasion,” while 40% of L.A. residents are foreign-born. Governor Gavin Newsom calls deploying Marines “deranged,” and the LAPD labels violent protests “peaceful.” McIntire argues this reflects irreconcilable ideological divides. Apple's Worldwide Developers Conference unveils “Liquid Glass,” a new iOS 26 interface, but McIntire slams it as a superficial “coat of paint” from a stagnant tech giant lagging in AI. A poll on planned June 14 protests predicts “America on Fire” (33.1%), with headlines likely to frame Trump as tyrannical, ignoring reality. A mix of patriotism, cultural shifts, and societal fractures.   U.S. Army recruiting, Pete Hegseth, Trump administration, Middle East deployment, college sports, House settlement, NCAA, Los Angeles riots, J.D. Vance, Gavin Newsom, LAPD, polarization, Apple, Liquid Glass, AI innovation, protest poll

Christina Knight, Machine Learning Safety and Evals Lead at Scale AI and former senior policy adviser at the U.S. AI Safety Institute (AISI), joins Kevin Frazier, the AI Innovation and Law Fellow at Texas and a Senior Editor at Lawfare, to break down what it means to test and evaluate frontier AI models as well as the status of international efforts to coordinate on those efforts.This recording took place before the administration changed the name of the U.S. AI Safety Institute to the U.S. Center for AI Standards and Innovation. To receive ad-free podcasts, become a Lawfare Material Supporter at www.patreon.com/lawfare. You can also support Lawfare by making a one-time donation at https://givebutter.com/lawfare-institute.Support this show http://supporter.acast.com/lawfare. Hosted on Acast. See acast.com/privacy for more information.

Josh Batson, a research scientist at Anthropic, joins Kevin Frazier, AI Innovation and Law Fellow at the Texas Law and Senior Editor at Lawfare, to break down two research papers—“Mapping the Mind of a Large Language Model” and “Tracing the thoughts of a large language model”—that uncovered some important insights about how advanced generative AI models work. The two discuss those findings as well as the broader significance of interpretability and explainability research.To receive ad-free podcasts, become a Lawfare Material Supporter at www.patreon.com/lawfare. You can also support Lawfare by making a one-time donation at https://givebutter.com/lawfare-institute.Support this show http://supporter.acast.com/lawfare. Hosted on Acast. See acast.com/privacy for more information.