Podcasts about applied ai

The conference highlighted a critical shift in the technology and engineering ecosystem, moving away from passive implementations toward autonomous AI systems, collaborative communities, and robust engineering guardrails. Discussions centered on the practical architecture required to scale AI safely, the evolution of modern developer tools, and the importance of cross-border technical collaboration. Ultimately, the insights underscored that the future of technology relies on blending rigorous infrastructure with human-centric ecosystem growth.Florian Hönicke an expert in engineering infrastructure, explored the operational shifting of cloud services and the challenges of secure temporary access provisioning. He detailed strategies for managing transient credentials for large groups and autonomous agents using automated serverless functions without exposing long-lived access keys. His central thesis argues that true engineering rigor requires deterministic, self-expiring security layers at the container level.Stella Buhalis, a technical community and developer relations leader, addressed the human dynamics fueling open-source ecosystems and community-driven adoption. She emphasized that long-term project viability stems from structured developer onboarding and lower cognitive barriers rather than pure marketing outreach. Her key insight is that building trusted technical communities acts as the ultimate feedback loop for improving developer experience and software reliability.Błażej Nowakowski, a backend systems architect, focused on database migration paradigms and the optimization of high-dimensional vector search at the network edge. He analyzed real-world infrastructure friction points, specifically isolating SQLite database lock conflicts and remote data sync latencies on serverless architectures. He noted that decoupling persistent remote backends from the core runtime is crucial for maintaining low-latency, multi-cloud application performance.Alena Astrakhantseva, a talent strategy and engineering education specialist, outlined the rapid evolution of technical training as the industry shifts from traditional development to autonomous AI flows. She analyzed how continuous testing, real-time monitoring, and structured evaluation frameworks must become core competencies for new developers. Her notable perspective highlights that the next wave of technical talent must be hired for systemic engineering rigor over simple syntax mastery.Zhen Ming Ng (Babypro), an open-source library maintainer and developer, demonstrated automation workflows for package deployment and baseline library compliance. He focused on minimizing framework overhead by substituting heavy, resource-intensive dependencies with lightweight tokenizers and compact client drivers. His core perspective is that library design must prioritize minimalism to remain functional across edge-native runtime environments.Connect with speakers: Florian HönickeCloud Infrastructure & DevOps Engineer Specialisthttps://www.linkedin.com/in/florian-h%C3%B6nicke-b902b6aaStella BuhalisDeveloper Relations & Technical Community Leadhttps://www.linkedin.com/in/stella-buhalisBłażej NowakowskiBackend Systems Architect & Database Engineerhttps://www.linkedin.com/in/b%C5%82a%C5%BCej-nowakowski-096716168/Alena AstrakhantsevaTechnical Talent Strategist & Engineering Educatorhttps://www.linkedin.com/in/alenaastra/Zhen Ming Ng (Babypro)Open Source Software Maintainer & Core Developerhttps://www.linkedin.com/in/ming91/

When Demis Hassabis pitched DeepMind to a few venture capitalists back in 2010, the business plan was almost comically audacious. “Step one: Solve intelligence. Step two: Use it to solve everything else,” he recalls in a conversation at Stanford Graduate School of Business with Stanford University President Jonathan Levin. “And people were quite confused. But we really meant it.”Sixteen years later, the “broad arcs” of that plan have gone “unbelievably well,” says Hassabis, a chess prodigy turned video game developer turned neuroscientist turned Nobel Prize-winning AI pioneer. Today he's on a mission to create “the ultimate tool for science,” building on his decision to give away AlphaFold, the groundbreaking AI system that predicts the structures of proteins. The future, Hassabis says, is just around the corner: “Ten years from now, I think we'll realize that we were standing in the foothills of the singularity now.”AI@GSB, the Dean's Applied AI initiative at the Stanford Graduate School of Business (GSB), and Stanford Medical School hosted a conversation with Demis Hassabis, Co-founder and CEO of Google DeepMind, on the frontier of artificial intelligence and what it means for how we live, work, and flourish.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this Karma School of Business crossover episode, Sean Mooney is joined by Lloyd Metz, Managing Partner of ICV Partners; Doug McCormick, Managing Partner of Oridian Capital Partners; James Aylward, Chief Product and Technology Officer at BluWave; and Nathan Plummer, Co-Executive Director of Venture Café Global Institute. The group explains how AI moved from long-running concept to practical business tool, and what that means for private equity firms and portfolio company leaders right now. They cover agentic AI, data readiness, applied AI use cases, internal tooling, security concerns, and the leadership challenge of getting teams to adopt new ways of working. This is a practical conversation for business builders who want to move past AI hype and start creating real value—hit play. Episode Highlights 2:13 - James Aylward's path from Fidelity's AI incubator to BluWave's technology strategy 5:08 - Nathan Plummer on Venture Café's role in connecting startups, investors, and innovators 9:17 - Why ChatGPT marked a "Gutenberg moment" after decades of slower AI progress 13:10 - AI shifts from autocomplete and thought partnership to writing major chunks of code 18:06 - Applied AI moves beyond efficiency into biotech, robotics, imaging, and new product creation 23:28 - Why proprietary data may become the real moat for private equity-backed companies 35:42 - AI literacy, adoption, and the leadership work required to make tools stick 44:05 - BluWave's internal AI tool shows how company data can power faster decisions For information on Oridian Capital Partners, go to https://oridiancapital.com/ For information on ICV Partners, go to https://www.icvpartners.com For information on BluWave, go to https://www.bluwave.net

Send us Fan MailIn this high-level investor panel clip, an experienced investor explains why Applied AI will transform nearly every industry — but why most AI startups still won't survive.He breaks down the real challenge for investors: identifying AI companies with a true moat, scalable business model, and realistic exit potential before larger incumbents crush them.They also discuss why many AI infrastructure plays may already be overpriced, and where smarter investors are looking now: AI app layer opportunities, specialized robotics, data optimization, agriculture, sanitation, and niche automation.Topics Covered:✅ Why most AI startups may fail✅ How investors evaluate moats in AI✅ Why AI infrastructure may be too crowded✅ Better opportunities in applied AI✅ Robotics, agriculture & sanitation AI plays✅ How to invest beyond the hype cycle✅ AI investing strategy for 2026If you invest in AI, startups, private equity, venture capital, or future tech, this is a must-watch.

Send us Fan MailIn this powerful investor panel clip, a serial entrepreneur with exits to Apple, Oracle, and SAP shares what founders get wrong about building companies for acquisition.After multiple successful exits and a decade at Apple, he explains why chasing a sale too early destroys priorities — and why the best acquisitions happen when you build a real solution first.He also discusses the future of Applied AI, how AI will organize our chaotic digital lives, and why adversity often creates the biggest breakthroughs.Topics Covered:✅ Founder with exits to Apple, Oracle & SAP shares lessons✅ Why building to sell is usually the wrong strategy✅ Jeff Bezos “missionaries vs mercenaries” mindset✅ How great acquisitions actually happen✅ Applied AI opportunities in daily life✅ Why adversity often leads to success✅ Building startups the right way in 2026If you're a founder, investor, entrepreneur, or startup operator, this is a must-watch.

The Information's San Francisco Bureau Chief Jason Dean talks with TITV Host Akash Pasricha about Meta's internal plans to charge up to $200 a month for its premium AI agent, Hatch. We also talk with Helion Energy Founder and CEO David Kirtley about the nuclear fusion company's new $465 million funding round at a $15.5 billion valuation, Netskope CEO Sanjay Beri about the cybersecurity market's growth deceleration and using Anthropic's Mythos model to spot code vulnerabilities, and Snowflake Chief Data and AI Officer Anahita Tafvizi about the enterprise launch of its newly rebranded CoWork and CoCo tools. Finally, we get into the systemic shift from open academic research to closed frontier AI laboratories with our Applied AI reporter Laura Bratton.Articles discussed on this episode: https://www.theinformation.com/newsletters/ai-agenda/billionaire-databricks-perplexity-co-founder-pitches-ai-researchers-work-big-techhttps://www.theinformation.com/articles/fusion-startup-helion-nearly-triples-valuation-15-5-billion-thrive-led-roundhttps://www.theinformation.com/articles/meta-looks-charge-200-month-planned-hatch-ai-agentSubscribe: YouTube: https://www.youtube.com/@theinformation The Information: https://www.theinformation.com/subscribe_hSign up for the AI Agenda newsletter: https://www.theinformation.com/features/ai-agendaTITV airs weekdays on YouTube, X and LinkedIn at 10AM PT / 1PM ET. Or check us out wherever you get your podcasts.Follow us:X: https://x.com/theinformationIG: https://www.instagram.com/theinformation/TikTok: https://www.tiktok.com/@titv.theinformationLinkedIn: https://www.linkedin.com/company/theinformation/Chapters:00:00 - Introduction01:13 - Meta's $200/Month AI Agent Hatch08:26 - Helion Energy Raises $465M for Fusion16:10 - Netskope CEO on AI Growth & Anthropic Mythos27:36 - Snowflake Launches CoWork and CoCo AI Tools34:26 - Databricks Co-Founder on Open AI Research

Welcome to the CanadianSME Small Business Podcast, hosted by Kripa Anand. Today, we explore how applied AI is transforming traditional industries by turning operational data into smarter, faster, and more profitable decisions. Joining us is Remi Dion, Co-Founder and VP of Applied AI at Explorai. Remi shares how niche AI tools are helping industries like construction and manufacturing modernize operations and improve efficiency. Key Highlights The Vision Behind Explorai: Remi explains why Explorai focuses on operational AI for SMEs. Solving Estimation Challenges: Remi shares how Estim.ai improves accuracy and profitability. Why Niche AI Wins: Remi highlights why specialized AI tools outperform generic solutions. Operational AI vs Everyday AI: Remi explains how businesses can identify high-impact AI tools. Future of Industrial AI: Remi outlines what is next for AI in construction and manufacturing. Special Thanks to Our Partners: UPS: https://solutions.ups.com/ca-beunstoppable.html?WT.mc_id=BUSMEWA ADP Canada: https://www.adp.ca/en.aspx For more expert insights, visit www.canadiansme.ca and subscribe to the CanadianSME Small Business Magazine. Stay innovative, stay informed, and thrive in the digital age! To learn more about how we are supporting the ecosystem, please visit the CanadianSME Small Business Foundation at smbfoundation.ca. Disclaimer: The information shared in this podcast is for general informational purposes only and should not be considered as direct financial or business advice. Always consult with a qualified professional for advice specific to your situation.

At Mumbai Tech Week 2026, the conversation around “AI in Action” is shifting from hype to real-world execution.In this deep-dive conversation, GetVantage Founder Bhavik Vasa joins Ryan to discuss why India's biggest AI opportunity isn't in building trillion-parameter LLMs — but in Applied AI powered by proprietary enterprise data, digital infrastructure, and embedded finance.From MSME lending and OCEN to cashflow-based financing, underwriting automation, due diligence, and workflow intelligence — this episode explores how India can become a global powerhouse in AI-led economic productivity.Key topics covered:•⁠ ⁠Why AI FOMO around public LLMs is fading•⁠ ⁠The rise of Small Language Models (SLMs)•⁠ ⁠Proprietary data as the real competitive moat•⁠ ⁠India Stack, UPI, GST & the MSME credit gap•⁠ ⁠How GetVantage uses Applied AI for underwriting•⁠ ⁠GrowthSahay, OCEN & embedded finance infrastructure•⁠ ⁠Revenue-based financing vs founder dilution•⁠ ⁠AI-powered due diligence & tender automation•⁠ ⁠The future of invisible finance and automated enterprise workflowsIf you're attending Mumbai Tech Week, building in AI, fintech, SaaS, embedded finance, digital lending, or enterprise infrastructure — this conversation is for you.Keywords:Mumbai Tech Week, MTW 2026, AI in Action, Applied AI, Proprietary Data, Small Language Models, SLMs, India AI ecosystem, Embedded Finance, OCEN, Revenue Based Financing, MSME Credit Gap, Digital Lending India, India

This week, we sit down with Rick Van Rousselt, Microsoft 365 MVP and managing partner at Advantive Belgium, for an honest look at what's actually working with applied AI in customer environments and what's quietly failing. We dig into the agentic shift across Agent 365, Entra Agent ID, Microsoft Agent Framework, and AI Foundry; the build-versus-buy line now that Microsoft is shipping agents into every product; and why the wave of Copilot rollouts is finally winding down. (00:00) - Intro and catching up.(00:29) - Show content starts.Show links- Find Rick van Rousselt on LinkedIn- Give us feedback!

Toronto is emerging as a centre for applied artificial intelligence across industry and services. International Business University's MSc in Applied AI - Industrial Innovation specialization prepares students to apply AI in automation, robotics, and intelligent systems within operational environments. International Business University City: Toronto Address: 655 Bay St. Website: https://ibu.ca/ Phone: +1 416 923 1111 Email: admission@ibu.ca

Anyone that follows me on social media will know that I am not the biggest fan of AI and in particular Generative AI. So when I ended up sitting next to the founder of The Institute of Applied AI, Siobhan O'Leary at a Chamber breakfast, I couldn't resist inviting her to come on the Win Happy podcast ! We had a really fascinating chat about the family jewellery business, her career as an engineer, the challenge of juggling work and family, and then a huge pivot to self employment and the world of applying AI to business. When I was editing the podcast, after about 25 minutes of perfect audio for some reason the sound collapsed on Siobhan's microphone and I was struggling badly to recover the audio quality. After lots of repair work by me using the software that I normally use, I had an ok recording but it wasn't at all good enough to publish. Instead of abandoning what I had, I ironically turned to an AI repair tool that I had never used before to see if it could rescue the recording At times it changed Siobhan's voice and at times it managed to mispronounce some words - it still needed some intervention from me and a few parts I had to delete but all in all it did an ok job. I'll let you listen and figure out where the AI took over and you might let me know if you think it did a good job or not! Enjoy the show ... Podcast Production by Greg Canty Greg's blog Greg on Twitter  Greg on LinkedIn Email Greg with feedback or suggested guests: greg@fuzion.ie   

Lloyd Metz (Partner, ICV Partners), Doug McCormick (Managing Partner, Oridian Capital Partners), and Sean Mooney (Founder & CEO, BluWave) are joined by James Aylward (Chief Product & Technology Officer, BluWave) and Nathan Plummer (Co-Executive Director, Venture Café Global Institute) to translate AI from concept into execution. The conversation moves beyond buzzwords to where firms are actually applying AI today—from coding and data strategy to real-time decision-making inside portfolio companies. They also address the practical barriers: data readiness, organizational adoption, and the risk of standing still. This is a clear look at what it takes to put AI to work in private equity—hit play.Episode Highlights1:30 - Why AI is shifting from buzzword to practical tool for operators9:45 - ChatGPT as the inflection point that changed AI adoption overnight13:00 - AI moves from “thinking partner” to executing tasks autonomously18:30 - Applied AI in industries like biotech and robotics reshaping outcomes23:10 - Data becomes the primary competitive moat across portfolio companies30:15 - Why most companies struggle: fragmented, unstructured data systems44:00 - Real-world example: automating hiring workflows with AI toolsFor more information on the podcast, visit bestbutneverfinal.buzzsprout.com and embark on your journey to private equity excellence today.Visit us on LinkedIn at https://www.linkedin.com/company/best-but-never-final-podcast/Visit us on Instagram at https://www.instagram.com/bestbutneverfinal/For information on Oridian Capital Partners, go to https://oridiancapital.com/For information on ICV Partners, go to https://www.icvpartners.comFor information on BluWave, go to https://www.bluwave.net

This week I'm joined by Matt Lynch, CTO and Co-founder of Sage. Sage are bringing technology modernisation and Applied AI to the healthcare // care home industries. Matt is an ex-Palantir alumni, raised a $35M in Q1 2025, we're going to be getting under the hood of some of the challenges in the technology healthcare intersection.We broke down the problem space of healthcare technology and how it needed a refresh.o   Hardware Software Interoperability in healthcareApplying AI to thatLegacy Systems + Integration with cloud native + AI solutions/tools.o   Engineering culture + challenges inside of Sage (product/platform challenges; mindset; FDE approach etc)o   Velocity of people able to build with 2 people ino   Anticipated technical/problem spaces to come in the healthcare spaceFuture of Healthcare and what experts think the outlook might look like from a technology standpoint.Future plans for growth for Sageo   Hiring Goals in NYCo   Geographic ExpansionIf you're keen to share your story, please reach out to us!Guest: https://www.linkedin.com/in/lynchmattj/Powered by Artifeks!https://www.linkedin.com/company/artifeksrecruitmenthttps://www.artifeks.co.ukhttps://www.linkedin.com/in/agilerecruiterLinkedIn: https://www.linkedin.com/company/enginearsioTwitter: https://x.com/EnginearsioAll Podcast Platforms: https://smartlink.ausha.co/enginearsHosted on Ausha. See ausha.co/privacy-policy for more information.

Send us Fan MailFamily Office Club Monthly Live ForumLive Capital Raising Strategy, Investor Feedback & Applied AI ToolsJoin the Family Office Club Monthly Live Forum — a live, interactive working session focused on real-world capital raising strategy, investor positioning, and the practical use of AI tools for founders, fund managers, and serious dealmakers.This is not a passive webinar or slide presentation. Each session is built around live interaction, real-time feedback, and practical implementation.Inside the live forum we cover:✅ Live hot seats and strategic feedback✅ Real-time pitch reviews and investor positioning guidance✅ Applied AI demonstrations for investor research, outreach, due diligence, and deal structuring✅ Platform-building feedback based on how sophisticated investors and family offices actually evaluate opportunities✅ Tactical insights from active capital raisers, investors, and industry operatorsOur investor club offers 30 nationwide events a year, 10,000 registered investors, and 50 proprietary AI tools built specifically for capital raisers, investors, and founders.The Family Office Club hosts investor events across Dallas, Beverly Hills, South Florida, and New York, and we believe meeting investors in person is 16x more effective than pitching virtually.Our proprietary AI tools are trained using insights gathered from thousands of investor conversations, live events, investor mandate interviews, workshops, and over 3 million words of investor transcripts. These tools are designed to help members:• Improve investor targeting• Refine pitch messaging• Structure stronger deals• Conduct due diligence faster• Save hundreds of hours through automation• Build more effective investor pipelinesHow To Prepare (Strongly Recommended)Attendees who get the most value from these sessions typically:• Join live and stay for the full session• Bring a current capital raising or investor positioning question• Review their pitch deck, one-liner, or assumptions beforehand• Participate actively in Q&A and discussionHot seat participation and deeper strategic feedback are prioritized for active members, but public attendees consistently gain valuable insights simply by observing how live investor feedback and strategic decisions are handled in real time.What Members Receive Beyond The Live SessionMembers receive access to:✔ Priority hot seats and deeper live feedback✔ Session recordings and archives✔ 50+ proprietary AI tools for investor targeting, due diligence, pitch refinement, and deal structuring✔ 30 nationwide in-person investor events and summits✔ Investor databases and networking resources✔ The Family Office Club member portal and investor toolkitAdditional workshop topics inside our ecosystem include investor outreach strategies, capital raising systems, due diligence, investor influence, deal structuring, and pitch optimization.LogisticsYou will receive reminder emails from Zoom as the session approaches.Please join from a stable internet connection and plan to attend live for the best experience.We look forward to having you join us. Feel free to text me directly with any questions.For details on upcoming in-person investor club events, visit:

This week Nick talks to Alistair SmallwoodAlistair Smallwood is the Head of Applied AI at Primer AI, where he focuses on building practical artificial intelligence tools for investment workflows. He began his career as a research analyst at Whitman Howard shortly after the Brexit vote, before moving into equity sales roles and later joining UBS as a pan-European small- and mid-cap specialist salesperson. He subsequently transitioned to the buy side with Lynott Partners, a technology-focused hedge fund, where he combined his financial expertise with self-taught coding skills to explore data-driven investing.The discussion centres on how Primer AI is transforming equity research through AI-driven agents that replicate and augment the workflow of human analysts. While AI can commoditize access to information, the true edge in investing lies in workflow, judgment, and behavioural insight—areas where human expertise remains critical. Primer AI is designed not just to retrieve accurate financial data, but to guide analysts through modular research processes, from understanding company fundamentals to building and interpreting financial models. The platform emphasizes auditability, context retention, and continuous learning, enabling users to encode their own analytical frameworks and improve efficiency over time. The conversation also explores broader implications for financial markets, suggesting that AI may compress short-term alpha opportunities while increasing the importance of long-term thinking and differentiated judgment. Alistair Book Choice's Endurance by Alfred LansingNo Spin: My Autobiography by Shane WarneAlistair Music Choice's Dark Side of the Moon by Pink FloydMoney for Nothing by Dire Straits from Brothers in Arms The Thinking Game - Documentary about DeepMind and Demis HassabisThis content is issued by Zeus Capital Limited (“Zeus”) (Incorporated in England & Wales No. 4417845), which is authorised and regulated in the United Kingdom by the Financial Conduct Authority (“FCA”) for designated investment business, (Reg No. 224621) and is a member firm of the London Stock Exchange. This content is for information purposes only and neither the information contained, nor the opinions expressed within, constitute or are to be construed as an offer or a solicitation of an offer to buy or sell the securities or other instruments mentioned in it. Zeus shall not be liable for any direct or indirect damages, including lost profits arising in any way from the information contained in this material. This material is for the use of intended recipients only.

Description: Keith sits down with Ryan Booth — former network automation specialist, Apstra alum, and now principal consultant at Blue Ridge Consulting — to trace the real career arc from infrastructure engineer to applied AI practitioner. They dig into the transferable skills that actually matter (hint: it's not the coding), why curiosity-driven entry points like [...]

Dr. Joshua M. Riedy, Executive Director, Institute of Applied AI at MSUM, is in studio on Afternoons Live with Tyler Axness to tell you all about this Institute and about how MSUM is teaching it's students about AI.See omnystudio.com/listener for privacy information.

Ireland welcomes the announcement of European AI Innovation Month, taking place from Dublin 14 October to Brussels 17 November 2026, a Europe-wide programme of events dedicated to accelerating artificial intelligence innovation and deployment across the European Union. As part of Ireland's Presidency of the Council of the European Union in 2026, Ireland will officially launch the month with the International AI Summit on 14 October 2026 at the RDS Dublin. Harnessing AI, Ireland ready for EU Innovation Month Under the theme 'Harnessing AI to Revolutionise Europe's Competitiveness' the International AI Summit will focus on Applied AI and sectoral value creation, highlighting Europe's shift from research to applied AI that delivers tangible impact across industries and public services. It will focus on building AI capacity through world-class infrastructure, computing power, sustainable energy, connectivity, and talent, while showcasing transformative opportunities ranging from generative to agentic AI, frontier models, and quantum convergence, all delivered responsibly to maintain public trust. Participants will include EU Commissioners and Ministers, C-suite leaders from major international and European companies and globally recognised AI experts. Sector-focused sessions will examine how AI is transforming key areas of the economy and society, supported by an Innovation spotlight exhibition space demonstrating cutting-edge AI innovation. Minister for Enterprise, Tourism and Employment, Peter Burke TD, said, "This AI summit is a unique opportunity to showcase Irish and European leadership in applied AI and demonstrate how innovation can drive competitiveness, create value across our economy and benefit society as a whole. Ireland's vibrant AI ecosystem, world-class talent and strategic infrastructure positions Ireland uniquely to lead these discussions and help shape the future of AI in Europe." Minister of State for Trade Promotion, Artificial Intelligence and Digital Transformation, Niamh Smyth said, "We are now 6 months out from the International AI Summit at the RDS, Ireland is proud to host this flagship event in a venue that has championed innovation for centuries, turning ideas into action. Preparations are fully underway for this key commitment of mine, which will bring together Europe's leading minds in technology, business, and government. By collaborating closely with the European Commission and our industry partners, we are ensuring this AI Summit leaves a lasting impact, establishing Ireland as the go-to hub for the next generation of technology while demonstrating how AI can boost European competitiveness and create tangible value for businesses and citizens." Headline speakers will be announced shortly, with further details on speakers and the full programme to follow. An Expression of Interest will also open in the coming weeks for enterprises interested in participating in the Innovation Spotlight Exhibition. See more stories here. More about Irish Tech News Irish Tech News are Ireland's No. 1 Online Tech Publication and often Ireland's No.1 Tech Podcast too. You can find hundreds of fantastic previous episodes and subscribe using whatever platform you like via our Anchor.fm page here: https://anchor.fm/irish-tech-news If you'd like to be featured in an upcoming Podcast email us at Simon@IrishTechNews.ie now to discuss. Irish Tech News have a range of services available to help promote your business. Why not drop us a line at Info@IrishTechNews.ie now to find out more about how we can help you reach our audience. You can also find and follow us on Twitter, LinkedIn, Facebook, Instagram, TikTok and Snapchat.

Ireland welcomes the announcement of European AI Innovation Month, taking place from Dublin 14 October to Brussels 17 November 2026, a Europe-wide programme of events dedicated to accelerating artificial intelligence innovation and deployment across the European Union. As part of Ireland's Presidency of the Council of the European Union in 2026, Ireland will officially launch the month with the International AI Summit on 14 October 2026 at the RDS Dublin. Under the theme 'Harnessing AI to Revolutionise Europe's Competitiveness' the International AI Summit will focus on Applied AI and sectoral value creation, highlighting Europe's shift from research to applied AI that delivers tangible impact across industries and public services. It will focus on building AI capacity through world-class infrastructure, computing power, sustainable energy, connectivity, and talent, while showcasing transformative opportunities ranging from generative to agentic AI, frontier models, and quantum convergence, all delivered responsibly to maintain public trust. Participants will include EU Commissioners and Ministers, C-suite leaders from major international and European companies and globally recognised AI experts. Sector-focused sessions will examine how AI is transforming key areas of the economy and society, supported by an Innovation spotlight exhibition space demonstrating cutting-edge AI innovation. Minister for Enterprise, Tourism and Employment, Peter Burke TD, said, "This AI summit is a unique opportunity to showcase Irish and European leadership in applied AI and demonstrate how innovation can drive competitiveness, create value across our economy and benefit society as a whole. Ireland's vibrant AI ecosystem, world-class talent and strategic infrastructure positions Ireland uniquely to lead these discussions and help shape the future of AI in Europe." Minister of State for Trade Promotion, Artificial Intelligence and Digital Transformation, Niamh Smyth said, "We are now 6 months out from the International AI Summit at the RDS, Ireland is proud to host this flagship event in a venue that has championed innovation for centuries, turning ideas into action. Preparations are fully underway for this key commitment of mine, which will bring together Europe's leading minds in technology, business, and government. By collaborating closely with the European Commission and our industry partners, we are ensuring this AI Summit leaves a lasting impact, establishing Ireland as the go-to hub for the next generation of technology while demonstrating how AI can boost European competitiveness and create tangible value for businesses and citizens." Headline speakers will be announced shortly, with further details on speakers and the full programme to follow. An Expression of Interest will also open in the coming weeks for enterprises interested in participating in the Innovation Spotlight Exhibition. See more stories here. More about Irish Tech News Irish Tech News are Ireland's No. 1 Online Tech Publication and often Ireland's No.1 Tech Podcast too. You can find hundreds of fantastic previous episodes and subscribe using whatever platform you like via our Anchor.fm page here: https://anchor.fm/irish-tech-news If you'd like to be featured in an upcoming Podcast email us at Simon@IrishTechNews.ie now to discuss. Irish Tech News have a range of services available to help promote your business. Why not drop us a line at Info@IrishTechNews.ie now to find out more about how we can help you reach our audience. You can also find and follow us on Twitter, LinkedIn, Facebook, Instagram, TikTok and Snapchat.

AI should serve us, yet that's not always the approach that experts take. There's been a lot of talk about AI fueling economic displacement, but what about AI that's a partner instead of a replacement for us? Dr. Angela Aristidou joins David Rothkopf to cut through the theoretical explore why real-world deployment of AI can improve workflow and augment human relationships rather than eliminating them.  This material is distributed by TRG Advisory Services, LLC on behalf of the Embassy of the United Arab Emirates in the U.S.. Additional information is available at the Department of Justice, Washington, DC. Learn more about your ad choices. Visit megaphone.fm/adchoices

AI should serve us, yet that's not always the approach that experts take. There's been a lot of talk about AI fueling economic displacement, but what about AI that's a partner instead of a replacement for us? Dr. Angela Aristidou joins David Rothkopf to cut through the theoretical explore why real-world deployment of AI can improve workflow and augment human relationships rather than eliminating them.  This material is distributed by TRG Advisory Services, LLC on behalf of the Embassy of the United Arab Emirates in the U.S.. Additional information is available at the Department of Justice, Washington, DC. Learn more about your ad choices. Visit megaphone.fm/adchoices

Send us Fan MailYouTube recording here https://youtu.be/caEuNpa5t40This is the Family Office Club Monthly Live Forum, a live, interactive session focused on real-time strategy, capital-raising feedback, and applied AI tools used by serious investors and founders.This is not a presentation-only webinar; each session is designed around:1️⃣ Live hot seats and real-time strategic feedback2️⃣ Applied AI demonstrations used for investor research, pitch refinement, and deal structuring3️⃣ Live pitch and platform-building feedback drawn from how family offices and sophisticated investors actually evaluate opportunitiesThe Family Office Club hosts over 30 investor events per year across major U.S. cities, works with 10,000+ investors, and operates a growing suite of 40+ AI tools built specifically for dealmakers. This live forum reflects how those tools, frameworks, and capital conversations are used in practice, not theory.

Stop letting your brand message fade into the background! Your book is a goldmine of authority, but without a clear brand identity, that value remains untapped. In this dynamic training, Tracy Hazzard reveals how to use AI quickly and simply to transform your author insights into a wealth of engaging brand assets. Learn to position yourself as the go-to expert in your field by creating a consistent, high-impact presence that boosts your discoverability and expands your network. Discover:Professional Brand Repurposing: Extract maximum value from your book's core themes to create a year's worth of brand-aligned content.Strategic Authority Building: Leverage brand identity to establish yourself as an industry leader through consistent messaging.Automated Brand Intelligence: See how AI tools can automate the heavy lift of brand definition, saving you time and ensuring professional clarity. Unlock the full potential of your expertise. Join Tracy Hazzard and learn how to use AI Content Brand Identity to captivate more readers and solidify your place as a leading voice in your genre.https://us02web.zoom.us/meeting/register/l5pR0j1ITdyj6txvelfwGA More About Your Mentor - Tracy Hazzard:Tracy Hazzard, Co-Founder of Podetize, is a leading authority in podcasting and media. With a wealth of experience from over 4,000 interviews featured in top publications like BuzzFeed and Inc. Magazine, Tracy is a sought-after mentor, speaker, and contributing writer. As Director of Applied AI for Podetize, Tracy provides unique insights into the intersection of technology, marketing, and media. With a talent for pinpointing the "bingeable factor"—the crucial element that drives audience engagement, loyalty, and sales—she offers authors a fresh perspective on creating compelling content and brand visibility.Love the show? Subscribe, rate, review, and share! https://superbrandpublishing.com/podcast/

AI is here. Now what? If you're a distributor who's struggling to answer, you're in good company. Distributors as a whole are cautious about buying into broad-appeal solutions. But, they're not Luddites. Instead, they want products that provide industry-focused context and bottom-line value. There's no better ambassador for AI and how to successfully apply the tech to distribution than Ian Heller, co-founder and chief strategy officer of the Distribution Strategy Group, and host of the innovative Applied AI for Distributors 2026 summit.  There's also no better way to toast the 200th episode of Distribution Talk than with this conversation between two longtime friends. Jason caught up with Ian to discuss the future of AI in distribution, the expanding use of agentic AI, and the exciting program of expert knowledge, topics, and implementation strategies scheduled for this year's summit. CONNECT WITH JASON LinkedIn CONNECT WITH IAN Distribution Strategy Group  Applied AI for Distributors 2026 LinkedIn *** For full show notes and services visit: https://www.distributionteam.com Distribution Talk is produced by The Distribution Team, a consulting services firm dedicated to helping wholesale distribution clients remove barriers to profitability, generate wealth, and achieve personal goals.    This episode was edited by The Creative Impostor Studios Special thanks to our sponsors for this episode: Connected Peers, providing virtual communities for wholesale distributors; and INxSQL Distribution Software, an integrated distribution ERP software designed for the wholesale and distribution industry.

Send us Fan MailJoin the Family Office Club Monthly Live Forum - a live, interactive session focused on real-time strategy, capital raising feedback, and applied AI tools used by serious investors and founders.This is not a passive webinar. Each session is designed to be practical, fast-paced, and directly applicable to what you're building right now. WHAT HAPPENS INSIDE EACH SESSION:✅ Live hot seats with real-time strategic feedback✅ Applied AI demonstrations for investor research, pitch refinement, and deal structuring✅ Live pitch reviews based on how family offices and sophisticated investors evaluate opportunitiesThe Family Office Club hosts 30+ investor events per year, works with 10,000+ investors, and has facilitated over $1B+ in transactions.We have also developed 40+ AI tools specifically for dealmakers, and this forum shows how those tools and strategies are used in practice, not theory. HOW TO GET THE MOST VALUE:✅ Join live and stay for the full session✅ Bring a specific question related to capital raising, positioning, or scaling✅ Review your pitch, platform, or deal in advance

What does the rise of AI mean for technical programs? Surprisingly, it's not a new concept to CTE fields. It is embedded in robotics, automation, diagnostics, and data modeling across modern manufacturing facilities today.In this episode of The TechEd Podcast, Matt Kirchner sits down with Dr. Andrew Neuendorf, Associate Dean of Manufacturing, Engineering, Trades, and Transportation at Des Moines Area Community College (DMACC), to explore what applied AI actually means inside CTE programs and why education must move beyond generative AI.With a background in English and the humanities, Andrew offers a rare perspective on how artificial intelligence is perceived differently across academic disciplines. From robotics labs to industrial technician programs, he explains where AI has already been embedded for years, where disruption is coming next, and how community colleges can respond with clarity rather than panic.From design software disruption to AI-assisted troubleshooting and entry-level data modeling skills, this conversation will help technical educators think about applied artificial intelligence in their programs.In this episode:Why robotics and automation programs have been teaching AI longer than they realizeThe hidden risk inside CAD and design-heavy technical pathwaysHow students are using AI to troubleshoot equipment faster than faculty expectWhy the “trades are safe from AI” narrative may be dangerously simplisticWhy competency-based education might be a better model in this AI-driven world3 Big Takeaways from this Episode:1. Applied AI has already been embedded in CTE for years. Robotics vision systems, PLC-driven automation, driver-assist sensors, and predictive maintenance models have quietly trained students in machine intelligence long before generative AI dominated headlines. The difference today is scale and accessibility, not the existence of AI itself.2. The future disruption isn't blue collar versus white collar — it's discipline by discipline. Andrew argues that assuming the trades are immune to AI disruption is a strategic mistake, particularly in design-heavy roles like CAD and digital modeling. Education must evaluate AI's impact at the skill level rather than rely on outdated workforce categories.3. Students may lead the applied AI shift inside technical programs. From uploading robot manuals into NotebookLM to accelerating troubleshooting in automation labs, students are modeling AI-assisted problem solving in real time. Institutions that recognize this and structure learning around it will move faster than those focused solely on policing its use.Resources in this Episode:Connect with Andrew on LinkedInOther resources:"Something Big is Happening" by Matt SchumerJensen Huang (NVIDIA) CES KeynoteSix Days in China: The Speed, Scale and Strategy Outpacing U.S. Innovation - Todd Wanek, CEO of Ashley FurnitureTry Google's NotWe want to hear from you! Send us a text.Instagram - Facebook - YouTube - TikTok - Twitter - LinkedIn

Ahead of the LegalWeek Conference taking place in New York City March 9-12, Legal Speak Producer Charles Garnar discusses the current state of artificial intelligence in the legal market with Danielle Benecke, Global Head of Baker McKenzie's Applied AI practice.   Hosts: Cedra Mayfield & Patrick Smith Special Guest Reporter: Charles Garnar Guest:  Danielle Benecke Producer: Charles Garnar

Plus: Kraken becomes the first crypto firm to win access to the Federal Reserve's core payments system. And OpenAI CEO Sam Altman defended his Pentagon deal during an all-hands meeting. Danny Lewis hosts. Learn more about your ad choices. Visit megaphone.fm/adchoices

Generative AI is moving beyond the lab and into the production environment. But for many enterprises, "pilot fatigue" is becoming a major bottleneck to real ROI. In this episode of AiR (AI in Retail), Top AI Leader, Barry McGeough (Group VP, AmeriCo) and Top Retail Expert, Michael Zakkour (Top Expert) deliver a masterclass on Applied Innovation. Through a real-world case study, they reveal how brands are using generative design to collapse the distance between a creative spark and a finished product. Key Takeaways: - The Text-to-Design Workflow: How designers are using text prompts to bypass traditional CAD bottlenecks, moving from 2D patterns to 3D assets and video in record time. - Crossing the Uncanny Valley: Why high-fidelity realism is the prerequisite for consumer trust and digital transactions. - Applied Innovation vs. "Big I" Innovation: The framework for ensuring AI projects solve core business problems rather than staying stuck in the lab. - The AI Super-Cycle: Why AI is a foundational layer for the next decade of retail, not a temporary financial bubble.

We chart how AI leapt from chat to code, why product is now the leverage point, and how startups can market to algorithms without losing trust. David Yakobovitch shares hard-won views on moats, data, defense tech, and the immigrant energy powering American dynamism.• leaders and market share across Google, OpenAI, Anthropic• vibe coding benefits, code quality risks, review loops• prompt libraries, agent swarms, PRD automation• weekly shipping pace and the SaaS squeeze• marketing to algorithms, buyer agents, bot traffic control• pilot to production gap, rise of forward-deployed engineers• moats beyond models via domain, workflow, and proprietary data• China's progress, open source, and on-device AI bets• defense tech, swarms, and physical AI opportunities• endurance mindset, yoga discipline, and founder stamina• personal workflows across Gemini, Claude, and OpenAI• investing across seed and growth with outcome focusThe model wars aren't theoretical anymore—they're shaping how software gets built, shipped, and sold. We sit down with David Yakobovitch, GP at Data Power Capital and former global product lead at Google, to map where AI is actually working in 2026: vibe coding that shrinks teams, agent swarms that harden quality, and product-led moats that outlast model churn. David pulls back the curtain on how Claude, OpenAI, and Google now compete neck and neck on code and content, why prompt engineering as a job vanished while prompts became more valuable, and how forward-deployed engineers bridge the stubborn pilot-to-production gap that has haunted data projects for a decade.We explore go-to-market in a world where buyer agents screen your pitch before a human blinks. That means structuring materials for machines, tuning sites for humans and crawlers, and building demos that agents can evaluate safely. We also go into what happens as models commoditize: the moat shifts to domain depth, proprietary offline data, secure connectors, and measurable workflow outcomes. From small language models running on CPUs in air‑gapped containers to Apple's on-device bet, the edge is back—especially for Europe's sovereignty demands and public sector buyers.Then we widen the lens. Defense and “physical AI” blend hardware and autonomy: swarms, hypersonics, and resilient edge compute that must perform in the real world. David shares why he's backing both the silicon and the software, and how American dynamism—powered by immigrants and impatient builders—remains a durable advantage. Along the way, we trade notes on multi-model workflows, open source momentum, China's narrowed gap, and the endurance mindset that carries teams through the disappointment dip after the first shiny demo.David Yakoboitch: https://www.linkedin.com/in/davidyakobovitch/David Yakobovitch is a General Partner and Managing Director of DataPower Capital, a New York City-based venture capital firm investing across Applied AI, Inference Infrastructure, and DeepTech.  With a portfolio of over 36 companies, David is an investor in the most defining frontier technology firms of our era, including OpenAI, Anthropic, xAI, Neuralink, DataBricks, Groq, Cruesoe, Anduril and SpaceX. David is a leading voice as the host of HumAIn, a podcast focused on Applied and Responsible AI.  Previously, David served as a Global Product Lead aWebsite: https://www.position2.com/podcast/Rajiv Parikh: https://www.linkedin.com/in/rajivparikh/Sandeep Parikh: https://www.instagram.com/sandeepparikh/Email us with any feedback for the show: sparkofages.podcast@position2.com

In the final episode of AI360, Head of Applied AI at Deloitte, Jim Rowan, and Rohan Gupta reflect on recent breakthroughs in AI and what's next, including how companies can ensure success with AI.

Join Maariyaah Afzal, Founder and CEO of Silas Insurtech, for a fascinating look at the intersection of deep domain expertise and cutting-edge technology. Maariyaah spent years in the trenches at AIG and Lloyd's of London, experiencing firsthand the frustration of spending more time fighting emails and PDFs than analyzing risk. In this episode, she shares her journey of pivoting from underwriting to software engineering to build the solution the industry desperately needed: an AI-driven platform that turns complex documents into structured, decision-ready insights.

Justin and Lily reflect on their parallel journeys diving deep into AI throughout 2025. They discuss why most AI content misses the mark for operators and system builders working within corporate constraints, share lessons from building production AI tools, and explore what's next for bringing these capabilities into the enterprise.Guest: Lily Luo — Systems & Operations Leader, Author of Applied AI for MOps SubstackRead more of Justin's thoughts on AI Builders: The operator's roadmap for AI in 2026KEY TOPICSThe Gap in AI Content Most resources target researchers or GTM engineers focused on outbound automation. There's little guidance for operators dealing with cloud tools, security, and corporate complexity. That creates an opportunity to define best practices for this underserved audience.2025 Project Highlights Lily built an "Analysis Dossier" tool that generates full account research reports at the click of a button. Justin replaced a vendor intelligence tool with a custom system using Retool and a conversational agent.Lessons Learned Start with tightly scoped AI steps in linear workflows for reliability. Pre-process insights asynchronously rather than relying on real-time agent calculations. Match tools to use cases. Failures teach more than successes.Atlas: Lily's Autonomous Agent Runs on Google Cloud and wakes every 4 hours to research and progress projects. Uses a three-layer memory architecture: identity, temporal journal, and knowledge graph. Can push its own code and interact with other agents.2026 Outlook Focus on scalability, reduced hallucination, and team enablement. Build infrastructure that unlocks flexible, ad-hoc use cases. Bridge the gap between AI capabilities and enterprise readiness.The Human Side Working closely with AI changes how you think. Boundaries matter—don't let AI become a crutch.RESOURCESApplied AI for MOps — Lily's SubstackAI Builders Blog — Justin's SubstackTools mentioned: Claude Code, Gemini, ChatGPT, Zapier, Retool, Dust, Azure AI Foundry, Letta, VS CodeONE TIP FOR GETTING STARTEDPick a real pain point. Start with low-code tools you already know. Test relentlessly. Expect to fail—and learn from it.

It's no secret that AI will revolutionize the world. Elon Musk thinks computers will overtake humanity as the collective intelligence of AI exceeds that of the collective intelligence of humanity. In the short and immediate term, the truth is probably more muted and will take longer than many expect. Thus far, most companies that have tried to integrate Applied AI technology into their businesses have not been successful and have replaced relatively few employees.  Ben Tasker, a recognized leader in AI education and workforce transformation, is helping thousands of employees upskill and reskill in the international workforce to become data and AI fluent.

Anthropic's Tobias Harrison Noonan shares the enterprise AI playbook: why coding leads to broader AI adoption, practical tips for getting started, and why you shouldn't wait for perfection.Topics Include:Tobias from Anthropic's Applied AI team discusses enterprise AI adoption trends and insights.Anthropic founded four years ago balancing AI safety mission with world's most intelligent models.Remarkable velocity: Claude 3.7 and Claude Code both shipped just in 2025 alone.Three-layer partnership: foundation models, enterprise capabilities, and end-user platforms like Claude Code.Anthropic leads in agentic coding for eighteen months, now number one enterprise AI market share.Claude Opus 4.5 launched last week, again tops software engineering benchmark for complex tasks.Claude Code enables thirty-hour autonomous coding sessions, ships features five times faster than before.Next frontier expands beyond coding into data-heavy knowledge work like financial and legal analysis.AI adoption maturity curve: employee workflows, internal processes, core products, then AI-native products.Thomson Reuters started with Claude Code for development team doing code modernization and refactoring.They expanded to Claude.ai for sales, marketing, and finance teams after seeing tangible ROI.Built Claude into core products including co-counsel legal platform and fraud prevention systems strategically.Today Thomson Reuters has eight different product lines powered by Claude across their portfolio.AWS partnership offers safe, secure, scalable deployment from POC to production in existing environments.Don't wait for perfection: AI today is dumbest it'll ever be, start prototyping now.Participants:Tobias Harrison-Noonan: Member of Technical Staff, AnthropicSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

This is a special episode, highlighting a session from ELC Annual 2025! The true promise of AI isn't in replicating human intelligence. It's in developing entirely new forms of non-human intelligence that perceive and understand the world in fundamentally different ways. Jamie Lien (Co-Founder and Chief Scientist @ Archetype AI) and Rashi Agarwal (Head of AI Engineering @ GoodLeap) explore the emergence of "Physical AI" - machines that sense the world through modalities beyond human biology to form internal representations free from our biases. This means building machines that can directly sense the physical world through modalities beyond human biology, form their own internal representations and interpretations free from our biases, and then translate that understanding back to us in human terms. ABOUT JAIME LIENJaime Lien, Ph.D. is Co-Founder and Chief Scientist at Archetype AI, a pioneering startup advancing Physical AI, artificial intelligence that understands the real world through real-time sensor data fusion.With over a dacade of experience in radar-based sensing, signal processing, and hardware engineering, Jaime's career bridges cutting-edge research and consumer-ready innovation. Before Archetype, she led radar sensing development for Google ATAP's Project Soli and contributed wireless communication and localization expertise at NASA's Jet Propulsion Laboratory. ABOUT RASHI AGRAWALRashi Agrawal is Head of AI Engineering at GoodLeap, where she leads enterprise-wide AI initiatives that deliver real business impact. An accomplished speaker, she covers the latest in AI, including context engineering, evaluations, and multi-agent collaboration, while driving Applied AI innovation in the enterprise. Previously, she scaled engineering teams at Yahoo, advancing its multibillion-dollar advertising business. A passionate world traveler to 40+ countries, Rashi brings global perspective and energy to her leadership and storytelling. SHOW NOTES:Archetype AI's mission: Building a foundation model for physical reality (2:24)The potential for discovery: Using AI to observe phenomena humans cannot perceive (3:36)Augmentation vs. Replacement: Giving humans "superpowers" rather than automating them away (5:48)The "Perfect Storm" for Physical AI: Transformers, self-supervised learning, and commodity sensors (6:04)Defining “Non-Human Intelligence” and removing the constraints of human labels (8:34)Why language is inherently lossy and insufficient for true physical understanding (10:28)Real-world application: How Physical AI aids safety decision-making in the solar industry (12:35)Use case: Improving pedestrian safety and traffic signaling in Bellevue (14:51)The biggest engineering leadership challenge: Embracing the “messiness” of real-world data (16:21)Q&A: Why we shouldn't teach AI physical laws, but let it discover them (18:50)Q&A: Validating models when there is a defined ground truth vs. subjective language (20:49)Q&A: Compute requirements and the future of active learning at the edge (22:05) LINKS AND RESOURCESVideo version of Jaime and Rashi's session at ELC Annual 2025 This episode wouldn't have been possible without the help of our incredible production team:Patrick Gallagher - Producer & Co-HostJerry Li - Co-HostNoah Olberding - Associate Producer, Audio & Video Editor https://www.linkedin.com/in/noah-olberding/Dan Overheim - Audio Engineer, Dan's also an avid 3D printer - https://www.bnd3d.com/Ellie Coggins Angus - Copywriter, Check out her other work at https://elliecoggins.com/about/ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Read the full transcript here. Are stock prices set by cash flows or crowd vibes? Why do bubbles last if “smart money” can short them? What should retail traders learn from GameStop and zero-commission options? When does momentum make sense - and when does it burn you? Why don't obvious mispricings get fixed - what actually stops arbitrage? Will AI help us think clearer, or supercharge manipulation and personalized pricing? Where should regulators draw the line on gamified trading and price discrimination? Do tariffs feel good because they keep others out—even if we pay more? What does the "winner's curse" mean for auctions, IPOs, and everyday deals? How much of what we want is copied from other people, and why does that matter for markets? Alex Imas is the Roger L. and Rachel M. Goetz Professor of Behavioral Science, Economics and Applied AI and a Vasilou Faculty Scholar at the University of Chicago Booth School of Business, where he has taught Negotiations and Behavioral Economics. Alex studies behavioral economics with a focus on cognition and mental representation in dynamic decision-making. His research explores topics related to choice under uncertainty, applied AI, discrimination, and how people learn from information. Professor Imas' work utilizes a variety of methods, including lab experiments, field experiments, analysis of observational data and theoretical modeling. His research has been published in the American Economic Review, Journal of Finance, Proceedings of the National Academy of Sciences, Quarterly Journal of Economics, and Management Science, among others. Links: The Winner's Curse Alex's personal website Alex's Twitter Staff Spencer Greenberg — Host + Director Ryan Kessler — Producer + Technical Lead WeAmplify — Transcriptionists Igor Scaldini — Marketing Consultant Music Broke for Free Josh Woodward Lee Rosevere Quiet Music for Tiny Robots wowamusic zapsplat.com Affiliates Clearer Thinking GuidedTrack Mind Ease Positly UpLift [Read more]

With artificial intelligence stepping off the laptop and out onto job sites, factory floors, and flight decks, are we preparing students for the AI that sees, senses, and acts in the real world, not just the kind that chats back?Matt Kirchner sits down with Lieutenant General Brian Cavanaugh, USMC (Ret.), CEO of VigilanteX. After decades commanding Marines and integrating emerging tech into national defense, Cavanaugh now leads a company building applied AI platforms at the edge: solar- and Starlink-powered trailers with cameras and compute that monitor sites 24/7 and turn video into real-time safety, security and efficiency intelligence.Together, Matt and Brian unpack what “applied AI” really means across the edge-to-cloud continuum. They discuss AI agents running on the edge, natural language search over video, and systems that close the loop from sensor to decision in seconds. They also explore why simply teaching students to prompt chatbots isn't enough, and how K-12, CTE, and higher education can catch up to a world where AI is baked into every system, every site, and every mission.Listen to learn:How VigilanteX combines solar power, Starlink, cameras, and edge compute into their tech.The difference between AI at the edge and AI in the cloud, and why latency, bandwidth, and resilience matter for safety-critical environments.How AI agents work at the edge, and why they can work faster and more efficiently than humans (freeing up humans to do more interesting work).Why Cavanaugh believes every student should understand how data moves from sensors to the edge, to the cloud, and back into real-time control.What China's national push for AI education signals about global competition and how U.S. educators should respond with applied AI in the classroom.➡️ Watch the Full Episode on YouTube3 Big Takeaways from this Episode:1. AI at the edge is becoming a digital teammate. VigilanteX's platforms use cameras, connectivity, and on-site compute to watch for fall risks, PPE issues, intrusions, and abnormal conditions across construction, manufacturing, logistics, and energy sites. The system flags events in real time, routes the right video to supervisors, and builds a data trail leaders can use to change procedures before accidents happen.2. Edge-to-cloud literacy is a new baseline skill for technical careers. Cavanaugh and Kirchner break down how raw sensor and video data is processed locally, filtered, and then pushed to the cloud for storage, analytics, and dashboards. Understanding where computation lives, what data moves, and how AI agents plug into that pipeline prepares students for roles in automation, OT/IT, robotics, and cyber-physical systems in any industry.3. We need to teach applied AI, not just chatbots. While large language models are powerful, the episode shows how AI is part of the edge-to-cloud continuum. Giving students hands-on experience with autonomous systems, computer vision, and industrial data flows helps them see AI as something they can design, deploy, and govern rather than a black box that only lives in a browser.Find links & more resources on the episode page! We want to hear from you! Send us a text.Instagram - Facebook - YouTube - TikTok - Twitter - LinkedIn

Alex Imas is the Roger L. and Rachel M. Goetz Professor of Behavioral Science, Economics and Applied AI and a Vasilou Faculty Scholar at the University of Chicago Booth School of Business, where he has taught Negotiations and Behavioral Economics. He is a Faculty Affiliate of the Center for Applied AI and the Human Capital & Economic Opportunity, an NBER Faculty Research Associate, and a CESifo Research Network Fellow. He is also an Associate Editor at the Journal of the European Economic Association and on the editorial board of Psychological Science. Alex studies behavioral economics with a focus on how people understand and mentally represent the choices they are facing. His research explores topics related to how people learn and make choices in settings with risk and uncertainty. He also studies the economics of artificial intelligence and discrimination. Alex's work utilizes a variety of methods, including controlled laboratory experiments, field experiments, analysis of observational data and theoretical modeling. Alex Imas is the recipient of the 2023 Alfred P. Sloan Research Fellowship, the Review of Financial Studies Rising Scholar Award, the New Investigator Award from the Behavioral Science and Policy Association, the Hillel Einhorn New Investigator Award from the Society of Judgment and Decision Making, the Distinguished CESifo Affiliate Award, and the NSF Graduate Research Fellowship. He is the co-author, with Richard Thaler, of The Winner's Curse: Behavioral Economics Anomalies, Then and Now (Simon and Schuster, 2025). He is an Associate Editor at the Journal of the European Economic Association and on the editorial board of Psychological Science. Alex was born in Bender, Moldova. Previously, he was the William S. Dietrich II Assistant Professor of Behavioral Economics at Carnegie Mellon University, where he taught Behavioral Economics and Human Judgment and Decision Making. He did his PhD in economics at the University of California, San Diego and earned a BA from Northwestern University. Prior to graduate school, Imas helped found a startup and co-authored several patents as part of its intellectual property strategy. Teaching materials for The Winner's Curse can be found here. Interviewer Peter Lorentzen is an Associate Professor of Economics at the University of San Francisco, where he leads the Master's Program in International and Development Economics at the University of San Francisco. He is also a nonresident scholar at the UCSD 21st Century China Center and an alumnus of the Public Intellectuals Program of the National Committee on US-China Relations. His research focuses on the economics of information, incentives, and institutions, primarily as applied to the development and governance of China. He created the unique Master's of Science in Applied Economics at the University of San Francisco, which teaches the conceptual frameworks and practical data analytics skills needed to succeed in the digital economy. Guest interviewer Robizon Khubulashvili is an Assistant Professor of Economics at the University of San Francisco. His research is at the intersection of theoretical, behavioral, and experimental microeconomics. A common question in his research is, how can we use a user's revealed preferences to improve the performance of online platforms? Robizon has studied this question in two settings: when monetary incentives are missing (an online gaming platform) and when monetary incentives are present (an online gambling platform). His work suggests that heterogeneity among users is an essential consideration in designing better online platforms; that is, a policy benefiting one type of user might harm the other. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

Alex Imas is the Roger L. and Rachel M. Goetz Professor of Behavioral Science, Economics and Applied AI and a Vasilou Faculty Scholar at the University of Chicago Booth School of Business, where he has taught Negotiations and Behavioral Economics. He is a Faculty Affiliate of the Center for Applied AI and the Human Capital & Economic Opportunity, an NBER Faculty Research Associate, and a CESifo Research Network Fellow. He is also an Associate Editor at the Journal of the European Economic Association and on the editorial board of Psychological Science. Alex studies behavioral economics with a focus on how people understand and mentally represent the choices they are facing. His research explores topics related to how people learn and make choices in settings with risk and uncertainty. He also studies the economics of artificial intelligence and discrimination. Alex's work utilizes a variety of methods, including controlled laboratory experiments, field experiments, analysis of observational data and theoretical modeling. Alex Imas is the recipient of the 2023 Alfred P. Sloan Research Fellowship, the Review of Financial Studies Rising Scholar Award, the New Investigator Award from the Behavioral Science and Policy Association, the Hillel Einhorn New Investigator Award from the Society of Judgment and Decision Making, the Distinguished CESifo Affiliate Award, and the NSF Graduate Research Fellowship. He is the co-author, with Richard Thaler, of The Winner's Curse: Behavioral Economics Anomalies, Then and Now (Simon and Schuster, 2025). He is an Associate Editor at the Journal of the European Economic Association and on the editorial board of Psychological Science. Alex was born in Bender, Moldova. Previously, he was the William S. Dietrich II Assistant Professor of Behavioral Economics at Carnegie Mellon University, where he taught Behavioral Economics and Human Judgment and Decision Making. He did his PhD in economics at the University of California, San Diego and earned a BA from Northwestern University. Prior to graduate school, Imas helped found a startup and co-authored several patents as part of its intellectual property strategy. Teaching materials for The Winner's Curse can be found here. Interviewer Peter Lorentzen is an Associate Professor of Economics at the University of San Francisco, where he leads the Master's Program in International and Development Economics at the University of San Francisco. He is also a nonresident scholar at the UCSD 21st Century China Center and an alumnus of the Public Intellectuals Program of the National Committee on US-China Relations. His research focuses on the economics of information, incentives, and institutions, primarily as applied to the development and governance of China. He created the unique Master's of Science in Applied Economics at the University of San Francisco, which teaches the conceptual frameworks and practical data analytics skills needed to succeed in the digital economy. Guest interviewer Robizon Khubulashvili is an Assistant Professor of Economics at the University of San Francisco. His research is at the intersection of theoretical, behavioral, and experimental microeconomics. A common question in his research is, how can we use a user's revealed preferences to improve the performance of online platforms? Robizon has studied this question in two settings: when monetary incentives are missing (an online gaming platform) and when monetary incentives are present (an online gambling platform). His work suggests that heterogeneity among users is an essential consideration in designing better online platforms; that is, a policy benefiting one type of user might harm the other. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/psychology

Alex Imas is the Roger L. and Rachel M. Goetz Professor of Behavioral Science, Economics and Applied AI and a Vasilou Faculty Scholar at the University of Chicago Booth School of Business, where he has taught Negotiations and Behavioral Economics. He is a Faculty Affiliate of the Center for Applied AI and the Human Capital & Economic Opportunity, an NBER Faculty Research Associate, and a CESifo Research Network Fellow. He is also an Associate Editor at the Journal of the European Economic Association and on the editorial board of Psychological Science. Alex studies behavioral economics with a focus on how people understand and mentally represent the choices they are facing. His research explores topics related to how people learn and make choices in settings with risk and uncertainty. He also studies the economics of artificial intelligence and discrimination. Alex's work utilizes a variety of methods, including controlled laboratory experiments, field experiments, analysis of observational data and theoretical modeling. Alex Imas is the recipient of the 2023 Alfred P. Sloan Research Fellowship, the Review of Financial Studies Rising Scholar Award, the New Investigator Award from the Behavioral Science and Policy Association, the Hillel Einhorn New Investigator Award from the Society of Judgment and Decision Making, the Distinguished CESifo Affiliate Award, and the NSF Graduate Research Fellowship. He is the co-author, with Richard Thaler, of The Winner's Curse: Behavioral Economics Anomalies, Then and Now (Simon and Schuster, 2025). He is an Associate Editor at the Journal of the European Economic Association and on the editorial board of Psychological Science. Alex was born in Bender, Moldova. Previously, he was the William S. Dietrich II Assistant Professor of Behavioral Economics at Carnegie Mellon University, where he taught Behavioral Economics and Human Judgment and Decision Making. He did his PhD in economics at the University of California, San Diego and earned a BA from Northwestern University. Prior to graduate school, Imas helped found a startup and co-authored several patents as part of its intellectual property strategy. Teaching materials for The Winner's Curse can be found here. Interviewer Peter Lorentzen is an Associate Professor of Economics at the University of San Francisco, where he leads the Master's Program in International and Development Economics at the University of San Francisco. He is also a nonresident scholar at the UCSD 21st Century China Center and an alumnus of the Public Intellectuals Program of the National Committee on US-China Relations. His research focuses on the economics of information, incentives, and institutions, primarily as applied to the development and governance of China. He created the unique Master's of Science in Applied Economics at the University of San Francisco, which teaches the conceptual frameworks and practical data analytics skills needed to succeed in the digital economy. Guest interviewer Robizon Khubulashvili is an Assistant Professor of Economics at the University of San Francisco. His research is at the intersection of theoretical, behavioral, and experimental microeconomics. A common question in his research is, how can we use a user's revealed preferences to improve the performance of online platforms? Robizon has studied this question in two settings: when monetary incentives are missing (an online gaming platform) and when monetary incentives are present (an online gambling platform). His work suggests that heterogeneity among users is an essential consideration in designing better online platforms; that is, a policy benefiting one type of user might harm the other. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/economics

Keywordscybersecurity, technology, AI, IoT, Intel, startups, security culture, talent development, career advice  SummaryIn this episode of No Password Required, host Jack Clabby and Kayleigh Melton engage with Steve Orrin, the federal CTO at Intel, discussing the evolving landscape of cybersecurity, the importance of diverse teams, and the intersection of technology and security. Steve shares insights from his extensive career, including his experiences in the startup scene, the significance of AI and IoT, and the critical blind spots in cybersecurity practices. The conversation also touches on nurturing talent in technology and offers valuable advice for young professionals entering the field.  TakeawaysIoT is now referred to as the Edge in technology.Diverse teams bring unique perspectives and solutions.Experience in cybersecurity is crucial for effective team building.The startup scene in the 90s was vibrant and innovative.Understanding both biology and technology can lead to unique career paths.AI and IoT are integral to modern cybersecurity solutions.Organizations often overlook the importance of security in early project stages.Nurturing talent involves giving them interesting projects and autonomy.Young professionals should understand the hacker mentality to succeed in cybersecurity.Customer feedback is essential for developing effective security solutions.  TitlesThe Edge of Cybersecurity: Insights from Steve OrrinNavigating the Intersection of Technology and Security  Sound bites"IoT is officially called the Edge.""We're making mainframe sexy again.""Surround yourself with people smarter than you."  Chapters00:00 Introduction to Cybersecurity and the Edge01:48 Steve Orrin's Role at Intel04:51 The Evolution of Security Technology09:07 The Startup Scene in the 90s13:00 The Intersection of Biology and Technology15:52 The Importance of AI and IoT20:30 Blind Spots in Cybersecurity25:38 Nurturing Talent in Technology28:57 Advice for Young Cybersecurity Professionals32:10 Lifestyle Polygraph: Fun Questions with Steve

When you ask someone to recall something from deep in their memory, watch their face — they'll probably do something that actually helps them remember. You might do it too without realizing it. Listen as I reveal what it is and why it works. https://www.psychologytoday.com/us/blog/ulterior-motives/201110/why-do-you-close-your-eyes-remember Have you heard of the winner's curse or the sunk cost theory? These are strange but predictable ways our brains can trick us when we take risks — especially with money. My guest, Alex O. Imas, Professor of Behavioral Science, Economics, and Applied AI at the University of Chicago, has studied these “behavioral anomalies” with Nobel Prize winner Richard Thaler. Together they co-authored The Winner's Curse: Behavioral Economics Anomalies, Then and Now. (https://amzn.to/48gycBj) . Listen to how these things work, because understanding these anomalies can help keep you from falling victim to them. We've all had to work in groups, whether it's a team we are assigned to at work, or a neighborhood committee or parents' group. Sometimes they run beautifully. Often… they don't. Why do so many groups struggle, and how can we make them more effective? Colin T. Fisher, Associate Professor of Organizations and Innovation at University College London, joins me to share insights that can help any team excel. Colin is author of the book The Collective Edge: Unlocking the Secret Power of Groups.(https://amzn.to/48WcuCT). Whether you cook or not, at some point you find yourself in the kitchen putting food away and you run into the problem of – sometimes the plastic wrap clings to the container and sometimes it does not. Listen to hear the secret of how to get it to stick every time. https://lifehacker.com/run-a-wet-finger-across-surfaces-to-make-plastic-wrap-s-1728185077 PLEASE SUPPORT OUR SPONSORS!!! INDEED: Get a $75 sponsored job credit to get your jobs more visibility at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://Indeed.com/SOMETHING⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ right now! DELL: Your new Dell PC with Intel Core Ultra helps you handle a lot when your holiday to-dos get to be…a lot. Upgrade today by visiting⁠⁠⁠⁠⁠⁠ https://Dell.com/Deals⁠⁠⁠⁠⁠⁠ QUINCE: Layer up this fall with pieces that feel as good as they look! Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://Quince.com/sysk⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for free shipping on your order and 365 day returns! ON POINT: We love the On Point podcast! Listen wherever you get your podcasts! ⁠https://www.wbur.org/radio/programs/onpoint⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode, we talked with Aishwarya Jadhav, a machine learning engineer whose career has spanned Morgan Stanley, Tesla, and now Waymo. Aishwarya shares her journey from big data in finance to applied AI in self-driving, gesture understanding, and computer vision. She discusses building an AI guide dog for the visually impaired, contributing to malaria mapping in Africa, and the challenges of deploying safe autonomous systems. We also explore the intersection of computer vision, NLP, and LLMs, and what it takes to break into the self-driving AI industry.TIMECODES00:51 Aishwarya's career journey from finance to self-driving AI05:45 Building AI guide dog for the visually impaired12:03 Exploring LiDAR, radar, and Tesla's camera-based approach16:24 Trust, regulation, and challenges in self-driving adoption19:39 Waymo, ride-hailing, and gesture recognition for traffic control24:18 Malaria mapping in Africa and AI for social good29:40 Deployment, safety, and testing in self-driving systems37:00 Transition from NLP to computer vision and deep learning43:37 Reinforcement learning, robotics, and self-driving constraints51:28 Testing processes, evaluations, and staged rollouts for autonomous driving52:53 Can multimodal LLMs be applied to self-driving?55:33 How to get started in self-driving AI careersConnect with Aishwarya- Linkedin - https://www.linkedin.com/in/aishwaryajadhav8/Connect with DataTalks.Club:- Join the community - https://datatalks.club/slack.html- Subscribe to our Google calendar to have all our events in your calendar - https://calendar.google.com/calendar/r?cid=ZjhxaWRqbnEwamhzY3A4ODA5azFlZ2hzNjBAZ3JvdXAuY2FsZW5kYXIuZ29vZ2xlLmNvbQ- Check other upcoming events - https://lu.ma/dtc-events- GitHub: https://github.com/DataTalksClub- LinkedIn - https://www.linkedin.com/company/datatalks-club/ - Twitter - https://twitter.com/DataTalksClub - Website - https://datatalks.club/

During this episode, Dr. Andrea Limbago, SVP of Applied AI at Interos, joins Santosh to discuss the evolving landscape of supply chain risk management. The conversation explores the intersection of AI, cybersecurity, and geopolitics, highlighting recent high-profile supply chain disruptions and the growing complexity of global risks. Key topics include the importance of multi-source redundancy over single-source suppliers, the need to detect current risks while building predictive capabilities for the future, and the value of continuous verification of suppliers. Listeners will gain practical insights on how organizations can build resilience, leverage technology, and foster collaboration to better prepare for and respond to supply chain threats. You won't want to miss this great conversation.Highlights from their conversation include:Previewing Today's Topic and interos.ai (0:51)Andrea Background and Career Path (3:00)Defining Applied AI and Its Role in Supply Chain (4:19)Major Supply Chain Disruptions and Geopolitical Risks (6:06)Are We More at Risk for Future Supply Chain Attacks? (9:14)Leading Indicators and Data Challenges in Supply Chain (10:52)Supplier Visibility and Risk Tolerance Strategies (13:24)Simulation and Scenario Planning for Supply Chain Resilience (16:20)Cyber-Physical Weak Spots in Supply Chains (18:10)Hardening Supplier Processes and Cybersecurity Collaboration (20:55)Business Continuity and Employee Transitions (22:29)Quantifying and Managing Supply Chain Resilience (23:34)Rapid-Fire “This or That” Segment and Key Takeaways (24:50)Final Thoughts and Episode Wrap-Up (26:21)Dynamo is a VC firm led by supply chain and mobility specialists that focus on seed-stage, enterprise startups.Find out more at: https://www.dynamo.vc/ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Key TakeawaysFinding conviction when the market says no. SOCi was built for multi-location brands that initially rejected the idea of managing thousands of local pages. Afif explains how he stayed the course, found early adopters, and survived until the market caught up.Scaling through pressure cookers. Hyper-growth exposed broken systems, forced painful pivots, and required letting go of two-thirds of sales opportunities to improve retention.Customer success over sales growth. Afif shares why focusing on customer success—hiring seasoned leaders and building award-winning CS systems—was the key to sustainable expansion.Applied AI in marketing. Beyond generative content, SOCi is developing “applied AI” to manage end-to-end marketing workflows across thousands of locations, giving teams back thousands of hours.Culture as scalable DNA. SOCi's values—Selflessness, Overachievement, Customer Centricity, and Innovation—guide hiring, recognition, and leadership at every stage of growth.Leadership principles. Hire people better than you, empower them, and balance founder involvement with trust. Culture will evolve as you scale, but clarity of values keeps the organization aligned.Why ListenWhether you're an early-stage founder or leading a growth-stage team, this conversation is a masterclass in resilience, strategy, and culture-driven leadership. Afif's journey shows how to navigate rejection, make data-driven pivots, and build software—and teams—that scale.

What happens when K-12, higher education, manufacturing, and a startup tech company sit around the same table to talk about AI? This episode brings that rare collaboration to life.Recorded live at TitletownTech—the venture studio founded by Microsoft and the Green Bay Packers—this panel features four leaders from distinctly different sectors, all navigating how AI is changing their world. From fault anomaly detection in industrial equipment to generative AI in K-12 classrooms, this episode is a crash course in what applied AI really looks like on the ground.Panelists include:Mike Beighley, Superintendent, Whitehall School DistrictDr. Kate Burns, Provost & Vice Chancellor of Academic Affairs, University of Wisconsin–Green BayRick Roeske, Senior Director of Service and Solutions, BW ConvertingAlex Tyink, Founder & CEO, Fork FarmsModerated by Matt Kirchner, Host of The TechEd PodcastThrough stories of innovation, disruption, and surprising lessons, these leaders share how they're preparing students, supporting workers, and strengthening their communities with artificial intelligence.Listen to learn:How a rural K-12 school is using AI to power personalized learning and student-led schedulingWhat happens when higher ed rethinks writing and assessment in the age of ChatGPTHow manufacturers are using AI to capture tribal knowledge and improve customer relationshipsWhat it's like to co-develop AI solutions inside the Microsoft AI Co-Innovation LabWhy human connection and relevance still matter more than ever in the AI-powered classroom3 Big Takeaways from this Episode:1. AI is expanding what's possible in education by unlocking more personalized, student-centered learning. In both K-12 and higher ed, AI is giving educators the tools to meet students where they are—academically, emotionally, and logistically. From adaptive math instruction to AI-driven student support systems, the future of learning is more flexible, scalable, and responsive.2. Manufacturing is using AI not just to fix machines, but to build better relationships. Rick Roeske shares how BW Converting uses AI to detect fault anomalies, preserve expert knowledge, and improve customer support—often solving problems before clients even notice. It's not just about performance; it's about trust.3. For startups, AI partnerships can unlock capabilities far beyond their headcount. Alex Tyink explains how Fork Farms built a proprietary AI farm management system with help from the Microsoft AI Co-Innovation Lab—accessing high-level expertise and infrastructure that most early-stage companies could never afford to build in-house.More on the episode page! We want to hear from you! Send us a text.Instagram - Facebook - YouTube - TikTok - Twitter - LinkedIn

My guests today are Richard Thaler and Alex Imas. Richard Thaler is a theorist in behavioral economics and a professor of Behavioral Science and Economics at the University of Chicago Booth School of Business. In 2017, he was awarded the Nobel Memorial Prize in Economic Sciences for his contributions to behavioral economics. Alex Imas is a professor of Behavioral Science, Economics and Applied AI and a Vasilou Faculty Scholar at the University of Chicago Booth School of Business. He studies behavioral economics with a focus on cognition and mental representation in dynamic decision-making. The topic is their book The Winner's Curse: Behavioral Economics Anomalies, Then and Now. In this episode of Trend Following Radio we discuss: Behavioral economics anomalies and their persistence Trend following, momentum, and mean reversion Nick Leeson and the Barings Bank collapse Development and evolution of their book Applications of behavioral economics in real-world decisions Jump in! --- I'm MICHAEL COVEL, the host of TREND FOLLOWING RADIO, and I'm proud to have delivered 10+ million podcast listens since 2012. Investments, economics, psychology, politics, decision-making, human behavior, entrepreneurship and trend following are all passionately explored and debated on my show. To start? I'd like to give you a great piece of advice you can use in your life and trading journey… cut your losses! You will find much more about that philosophy here: https://www.trendfollowing.com/trend/ You can watch a free video here: https://www.trendfollowing.com/video/ Can't get enough of this episode? You can choose from my thousand plus episodes here: https://www.trendfollowing.com/podcast My social media platforms: Twitter: @covel Facebook: @trendfollowing LinkedIn: @covel Instagram: @mikecovel Hope you enjoy my never-ending podcast conversation!  

What exactly is an AI agent, and how will agents change the way we work?In this episode, a16z general partners Erik Torenberg and Martin Casado sit down with Aaron Levie (CEO, Box) and Steven Sinofsky (a16z board partner; former Microsoft exec) to unpack one of the hottest debates in AI right now.They cover:Competing definitions of an “agent,” from background tasks to autonomous internsWhy today's agents look less like a single AGI and more like networks of specialized sub-agentsThe technical challenges of long-running, self-improving systemsHow agent-driven workflows could reshape coding, productivity, and enterprise softwareWhat history — from the early PC era to the rise of the internet — tells us about platform shifts like this oneThe conversation moves from deep technical questions to big-picture implications for founders, enterprises, and the future of work. Timecodes: 0:00 Introduction: The Evolution of AI Agents0:36 Defining Agency and Autonomy1:54 Long-Running Agents and Feedback Loops4:49 Specialization and Task Division in AI6:20 Human-AI Collaboration and Productivity6:59 Anthropomorphizing AI and Economic Impact9:10 Predictions, Progress, and Platform Shifts11:31 Recursive Self-Improvement and Technical Challenges13:20 Hallucinations, Verification, and Expert Productivity16:20 The Role of Experts and Tool Adoption22:14 Changing Workflows: Agents Reshaping Work Patterns45:55 Division of Labor, Specialization, and New Roles48:47 Verticalization, Applied AI, and the Future of Agents54:44 Platform Competition and the Application Layer55:29 Closing Thoughts and Takeaways  Resources: Find Aaron on X: https://x.com/levieFind Martin on X: https://x.com/martin_casadoFind Steven on X: https://x.com/stevesi Stay Updated: Let us know what you think: https://ratethispodcast.com/a16zFind a16z on Twitter: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zSubscribe on your favorite podcast app: https://a16z.simplecast.com/Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.