Podcasts about future of ai

Burnham's debut, bond market jitters and the future of AI in BioPharma Markets were relatively quiet yesterday, but developments in the UK drew investor attention. Prime Minister Andy Burnham's policy announcements sparked concerns over the fiscal outlook, sending gilt yields higher, while John Healey's appointment as Chancellor raised fresh questions about economic policy. Meanwhile, semiconductor stocks rebounded, and oil prices swung sharply. Damien Ng from our Next Generation Research team joins us to discuss why AI's impact on BioPharma is likely to unfold over the coming years, rather than quarters.(00:00) - Introduction: Helen Freer, Product & Investment Content (00:34) - Markets wrap-up: Roman Canziani, Head of Product & Investment Content (07:08) - Genomics: Damien Ng, Next Generation Research (13:21) - Closing remarks: Helen Freer, Product & Investment Content Would you like to support this show? Please leave us a review and star rating on Apple Podcasts, Spotify or wherever you get your podcasts.

As AI applications become more complex, the infrastructure powering them needs to evolve. Corey Sanders, SVP of Product at CoreWeave, joins Chris to discuss why AI requires a fundamentally different approach than traditional cloud computing. They explore AI-native infrastructure, training and inference workloads, the rise of agentic development, optimizing GPU performance, AI research workflows, and why the future of software will be built around AI-first experiences rather than websites and apps.Featuring:Corey Sanders – LinkedIn Chris Benson – Website, LinkedIn, Bluesky, GitHub, XLinks:CoreWeaveSponsors:Framer: The enterprise-grade website builder that lets your team ship faster. Get 30% off at framer.com/practicalaiUpcoming Events: Register for upcoming webinars here!Midwest AI Summit 2026

Matt Schultz, CEO of CleanSpark (CLSK), talks about the company's newest triple net lease for data centers expected to bring in $6.6 billion of revenue. He explains how the deal offers a stable revenue stream for years to come and what it means for the greater data center industry. ======== Schwab Network ========Empowering every investor and trader, every market day. Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/ About Schwab Network - https://schwabnetwork.com/about

Everyone is talking about bigger AI clusters. What happens when those clusters need to span multiple data centers? At Cisco Live, I sat down with Rakesh Chopra, SVP & Fellow, Common Hardware Group at Cisco on The Ravit Show, to discuss one of the less talked about challenges in AI infrastructure: scaling AI beyond a single data center.A few key themes from our conversation:-- The industry is moving from scale-up and scale-out to scale-across architectures-- Connecting GPUs across data centers is becoming a critical challenge as organizations build larger AI environments-- Power efficiency is now as important as raw performance, driving innovation in silicon and optics-- Network reliability and low-latency communication are essential as AI clusters stretch across geographic boundaries-- Co-designing networking, silicon, and optics is becoming a requirement rather than an optimizationThe AI conversation often focuses on models.But the real story may be the infrastructure required to make those models work at scale.#CiscoLive #AI #Networking #Innovation #TheRavitShow

Full show notes: https://bengreenfieldlife.com/lotus In this episode with KJ Dhaliwal of Lotus AI, you'll hear how translating his immigrant parents' doctor visits as a child and years spent bouncing through fragmented specialty care as a teenager after a disc herniation shaped his mission to give 100 million Americans free, world-class primary care using AI. KJ breaks down how Lotus AI pulls your entire medical history from every clinic and hospital you've ever visited in minutes, unifies it with your wearables and genetic data, and makes it available to both a conversational AI and a network of real licensed physicians who can diagnose you, prescribe treatment, and refer you to a specialist in under two minutes at any hour of the day. We also touch on why hospitals are quietly selling your health data to pharma, how the business model works when the product is free, and why KJ believes the AI-powered general doctor is not just possible but already happening. KJ Dhaliwal is the founder and CEO of Lotus AI. Before Lotus, he co-founded the largest South Asian dating app, which he grew and sold. At Lotus AI, his mission is to collapse the cost of healthcare delivery while making world-class primary care free and permanently accessible to every American. Download the Lotus AI app here. If you are a physician, visit lotus.ai and sign up for Lotus Cortex. Episode Sponsors: Anthros: You can train hard and still undo a lot of that progress by sitting for the next eight hours, which is why Anthros takes a different approach, starting with a Precision Posture System at the pelvis so your spine naturally aligns, plus a built-in Clinical Posture Consult that helps identify issues you may not even realize you have. Go to anthros.com and use code BEN for an exclusive $200 discount and try it risk-free for 60 days. Timeline: Give your cells new life with high-performance products powered by Mitopure, Timeline's powerful ingredient that unlocks a precise dose of the rare Urolithin A molecule and promotes healthy aging. Mitopure now starts at $79 when you go to timeline.com/BEN. Quantum Upgrade: Recent research has revealed that the Quantum Upgrade was able to increase ATP production by a jaw-dropping 20–25% in human cells. Unlock a 15-day free trial with the code BEN15 at quantumupgrade.io. Dr. Murray Natural Products – ThymoQuin®: ThymoQuin® is a clinically researched black seed oil formulated to support healthy cortisol levels, improve resilience to everyday stress, and promote overall well-being. It's the only black seed oil that meets U.S. Pharmacopeia guidelines and is backed by human clinical research. Visit doctormurray.com/ben and use code BEN25 for 25% off all Dr. Murray Natural Products. Qualia Stem Cell: Qualia Stem Cell is a science-backed supplement designed to support your body’s natural repair system by enhancing stem cell function, helping you recover, renew, and maintain healthy tissues as you age. Taken just four days per month and formulated with premium, clinically supported ingredients, it’s an easy way to support long-term healing and vitality. Visit qualialife.com/boundless and use code BOUNDLESS for 15% off.See omnystudio.com/listener for privacy information.

IBEC's Economic Outlook reports that the impact of AI on the labour market is still not clear. But early signs show significant effects on trade and investment. It also suggests domestic demand growth of 3.3% for 2026, while inflation is expected to land around 3.5% for the year. Joe Lynam discusses this further with Gerard Brady, Chief Economist and Head of National Policy of IBEC.

IBEC's Economic Outlook reports that the impact of AI on the labour market is still not clear. But early signs show significant effects on trade and investment. It also suggests domestic demand growth of 3.3% for 2026, while inflation is expected to land around 3.5% for the year. Joe Lynam discusses this further with Gerard Brady, Chief Economist and Head of National Policy of IBEC.

On this episode of The Karol Markowicz Show, Karol sits down with Jonathan Hammel—physician, novelist, composer, and host of the Blood Flow podcast—to discuss his powerful new novel, The Jewish Hospital. Inspired by the real-life experiences of Hamill's grandmother, who served as a nurse in Berlin's Jewish Hospital during World War II, the conversation explores one of history's lesser-known stories: how a Jewish hospital continued operating in Nazi Berlin while doctors, nurses, and patients lived under constant threat of deportation. Jonathan explains how years of research, family interviews, and historical records shaped the novel, while also examining the difficult ethical questions medical professionals faced under unimaginable circumstances. He also discusses why the book is being taught in medical bioethics programs, what modern healthcare can learn from history, and why he believes authentic human creativity will remain essential—even in the age of artificial intelligence.See omnystudio.com/listener for privacy information.

Project management in construction is often dismissed as traditional, but when it comes to AI and data, the industry may be further ahead than many people realize. In this conversation, James Garner, Head of AI and Data at Gleeds and founder of Project Flux, shares why construction is becoming a proving ground for AI adoption—and what project professionals in every industry can learn from it.From overcoming resistance to new technology to navigating career shifts and building AI literacy, James offers a refreshingly balanced perspective on the future of project management. Whether you're leading digital initiatives or considering a career pivot, this episode explores why judgment, curiosity, and creativity will become even more valuable in the age of AI.Resources from this episode:Join the Digital Project Manager CommunitySubscribe to the newsletter to get our latest articles and podcastsConnect with James on LinkedInVisit Gleeds and Project Flux

This week, Jason is joined by UnitedHealthcare California CEO Steve Cain for a conversation about the $5.5 trillion healthcare industry, why healthcare costs have climbed to nearly $17,000 per person, the misconceptions surrounding health insurance, the future of AI in healthcare, and what it takes to lead at the highest level of corporate America. Steve breaks down where your health insurance premium actually goes, the role employers play in choosing benefit packages, and why rising hospital, provider, and pharmaceutical costs have created major challenges across the healthcare system. He also explains why greater transparency and better alignment across the industry could help lower costs and improve the member experience. Jason and Steve also dive into leadership, making decisions under pressure, and Steve's journey from sales to the CEO level. Plus, Steve reveals UnitedHealthcare's plans to invest more than $1.5 billion into AI and how technology could reshape the future of healthcare. From breaking down where your health insurance premium actually goes to revealing UnitedHealthcare's $1.5 billion AI investment, Steve reveals what it really takes to navigate one of America's most complex industries, lead under pressure, and rethink the future of healthcare. Steve reveals all this and so much more in another episode you can't afford to miss! Subscribe to the Trading Secrets podcast! Host: Jason Tartick
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00:00 Introduction to Stefan Bajayo and VibeLogic 01:52 The Evolution of SEO and AI's Impact 05:35 Understanding Web Presence Intelligence 09:35 The Challenges of SEO in Large Organizations 12:53 The Shift in Content Strategy and Customer Understanding 16:43 The Role of AI in Content Creation and Consumer Trust 20:50 Navigating the Noise: The Future of AI and Marketing 24:25 Actionable Insights for Businesses 27:49 Conclusion and Final Thoughts resources VibeLogic - https://viblogic.com LinkedIn - Stephan Bajaio - https://linkedin.com/in/stephanbajaio guest links LinkedIn - https://linkedin.com/in/stephanbajaio Connect with me on:All my linksBecome a guestSign up for RiversideGet Descript #DigitalMarketing #Branding #PersonalBranding #MarketingInsights #SocialMediaStrategy Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this special launch episode, Dash0 Director of Product Evgeni Wachnowezki joins Mirko Novakovic to introduce Beyond Observability, Dash0's vision for closing the loop from AI-generated code to production. They discuss why AI has shifted the bottleneck from writing code to safely shipping and operating it, and how Dash0 is building the control plane for that new reality. They also walk us through their new releases: AI Coding Insights, Agent0 Automations, AutoMerge and SignalControl.

AI transformation isn't just a technology challenge it's a human one. In this episode, we explore why psychological safety is the cultural foundation every organization needs before AI can truly succeed. We discuss the idea of "universal vulnerability," why every employee experiences AI disruption differently, and how leaders can create environments where people feel safe asking difficult questions instead of suffering in silence. You'll also learn the LIVE framework Look, Identify, Validate, and Encourage and why rewarding vulnerability is one of the most important leadership skills in the age of AI. If you're leading AI adoption, culture may be your greatest competitive advantage.

In Cuyahoga County, more than 1,700 license plate cameras, or Automatic License Plate Readers (ALPRs), take photos of and store license plate data. Proponents have hailed it as the next generation of safety technology, and support installation as part of the effort to crack down on crime, bring justice to victims, and promote public safety. Opponents cite concerns about privacy, data security, and abuse of data-including the turnover of information to federal officials.rnrnAI-powered surveillance, including acoustic surveillance technology like "Shotspotter" has been around for decades. Yet, this next generation of AI technology has been met with skepticism and concern. Combined with growing political tensions, the conversation in many American communities has changed: It's not whether the technology works. Rather, whether the technology should even be allowed in its current state, or even at all. Nearly every state in the nation has some form of AI-powered surveillance, and grassroots groups and national organizations are putting pressure on municipalities across the country to cancel contracts that employ it-including here in Northeast Ohio.rnrnJoin us at the City Club as Signal Cleveland's Nick Castele leads a conversation on the evolution, ethics, and future of AI-powered surveillance across the nation with Joshua Thomas, Chief Communications Officer of Flock Safety, and Dr. Jen Golbeck, Computer Scientist, AI ethics and privacy expert at the University of Maryland.

AI is changing business faster than ever, but the real advantage still comes from people. I had the pleasure of talking with Lars Helgeson, entrepreneur, technologist, and author of CRM for Dummies, about how customer relationship management, artificial intelligence, and patient education are reshaping the way businesses and healthcare providers serve people. Lars shares how his career evolved from building one of the early email marketing platforms to creating CRM solutions and, more recently, a patient education platform designed to improve health outcomes after medical procedures. We also explore the opportunities and risks of AI, why relationships remain at the heart of every business, and how technology should support people rather than replace them. I believe you'll find practical ideas about leadership, innovation, healthcare, and building stronger customer relationships that can help you develop your own Unstoppable Mindset. Highlights: 02:08 - How AI helps build stronger customer relationships. 12:13 - Why AI should never replace medical judgment. 27:01 - How CRM evolved beyond email marketing. 38:47 - Why patient education became Lars' mission. 45:00 - Why accountability starts with good documentation. 55:00 - How small changes improve patient outcomes. About the Guest: Lars Helgeson is an internet entrepreneur, technologist, and CRM strategist dedicated to helping organizations grow through what he calls “Complete CRM”, a unified, data-driven approach that connects sales, marketing, customer service, and operations into one accountable system. He entered the internet marketing world in 2000, co-founding CoolerEmail, one of the world's first email service providers. As a pioneer in responsible email marketing, he helped grow CoolerEmail into a global software company specializing in marketing communication with over 1,500 clients. In 2010, after years spent designing and implementing a more comprehensive approach for small and mid-sized businesses, Lars launched GreenRope, a cloud-based platform that simplifies and consolidates a company's sales, marketing, and operations. Today, GreenRope provides technology solutions to more than 3,000 companies and nonprofits in over 40 countries. His new venture, Easy Aftercare, focuses on using CRM technology for automated patient education. Lars is the author of CRM For Dummies (Wiley, 2017) and a frequent speaker on CRM strategy, marketing automation, entrepreneurship, and business growth. His guiding principle is straightforward: “If it isn't in the CRM, it didn't happen.” He earned B.S. and M.S. degrees in Mechanical Engineering from Rensselaer Polytechnic Institute and an MBA from the University of New Mexico's Robert O. Anderson School of Management. After graduate school, he served four years in the U.S. Air Force, working in the Air Force's space test program, the Air Force Research Laboratory, and the Ballistic Missile Defense Organization. Raised in Southern California, he credits a science-teacher father for curiosity and a social-worker mother for empathy, an influence that shows up in his people-first view of technology. Outside of work, he enjoys travel, stand-up paddleboarding, mountain biking, ice hockey, and yoga. Ways to connect with Lars**:** https://www.easyaftercare.com https://www.instagram.com/easy.aftercare/ https://www.facebook.com/easyaftercare https://www.linkedin.com/company/easy-aftercare About the Host: Michael Hingson is a New York Times best-selling author, international lecturer, and Chief Vision Officer for accessiBe. Michael, blind since birth, survived the 9/11 attacks with the help of his guide dog Roselle. This story is the subject of his best-selling book, Thunder Dog. Michael gives over 100 presentations around the world each year speaking to influential groups such as Exxon Mobile, AT&T, Federal Express, Scripps College, Rutgers University, Children's Hospital, and the American Red Cross just to name a few. He is Ambassador for the National Braille Literacy Campaign for the National Federation of the Blind and also serves as Ambassador for the American Humane Association's 2012 Hero Dog Awards. https://michaelhingson.com https://www.facebook.com/michael.hingson.author.speaker/ https://twitter.com/mhingson https://www.youtube.com/user/mhingson https://www.linkedin.com/in/michaelhingson/ Thanks for listening! Thanks so much for listening to our podcast! If you enjoyed this episode and think that others could benefit from listening, please share it using the social media buttons on this page. Do you have some feedback or questions about this episode? Leave a comment in the section below! Subscribe to the podcast If you would like to get automatic updates of new podcast episodes, you can subscribe to the podcast on Apple Podcasts or Stitcher. You can subscribe in your favorite podcast app. You can also support our podcast through our tip jar https://tips.pinecast.com/jar/unstoppable-mindset . Leave us an Apple Podcasts review Ratings and reviews from our listeners are extremely valuable to us and greatly appreciated. They help our podcast rank higher on Apple Podcasts, which exposes our show to more awesome listeners like you. If you have a minute, please leave an honest review on Apple Podcasts. Transcription Notes:

Law professor Julian Nyarko has drawn attention for his studies using large language models to investigate and improve legal education and explore AI's biases. He hopes AI can become a reliable, always-on legal learning and assistance tool to lower costs and expand access to legal services. In one recent study, he asked a group of law professors to evaluate written answers to student questions. Three-quarters of the time, the professors preferred AI-generated answers to those of their human colleagues. “AI is good at law,” Nyarko says, the challenge now is to use it most effectively, he tells host Russ Altman in this episode of Stanford Engineering's The Future of Everything podcast. Have a question for Russ? Send it our way in writing or via voice memo, and it might be featured on an upcoming episode. Please introduce yourself, let us know where you're listening from, and share your question. You can send questions to thefutureofeverything@stanford.edu. Episode Reference Links: Stanford Profile:Julian Nyarko Connect With Us: Episode Transcripts >>> The Future of Everything Website Connect with Russ >>> Threads / Bluesky / Mastodon Connect with School of Engineering >>> Twitter/X / Instagram / LinkedIn / Facebook Chapters: (00:00:00) Introduction Russ Altman introduces guest Julian Nyarko, a professor of law at Stanford University. (00:02:31) Path into AI and Law How Nyarko's early work led him to legal AI. (00:05:03) Law, Economics, and Computation How Nyarko's training, methods, and self-taught coding shaped his research. (00:07:23) Building the LIFT Lab Why a law professor started a lab. (00:09:06) Evaluating Legal AI How AI raises fundamental questions about what counts as good lawyering. (00:10:22) Improving Legal Services Using AI to work faster, reduce errors, and make informed decisions. (00:10:57) Rethinking Legal Education How AI may change the way future lawyers learn  (00:11:51) AI in Office Hours How AI answers law students' questions compared with human professors. (00:15:18) Surprising Results Why AI answers were often preferred  (00:16:16) What the Study Shows The findings support AI tutoring, but don't prove AI improves learning. (00:18:48) Limits of One-Shot Answers Why real teaching often depends on dialogue, clarification, and productive struggle. (00:20:59) AI for Social Science How AI can become both an object of study and a tool. (00:22:43) Research Agents Using AI to test claims and make previously impossible research scalable. (00:24:51) Agentic AI in the Lab How Socratic dialogue with AI can sharpen research ideas. (00:26:07) Fairness and Bias How computational tools can be audited for bias and used to audit decision-making. (00:27:29) Discrimination in Models Exploring bias and how it can be reduced. (00:30:16) Disparate Impact How policies and systems disadvantage groups even without explicit intent. (00:32:53) From Evidence to Policy How Nyarko's lab works with stakeholders to surface disparities. (00:34:49) Future In a Minute Rapid-fire Q&A: justice, talent, and the future of legal AI. (00:36:57) Conclusion   Connect With Us:Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads / Bluesky / MastodonConnect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Will governments, budgets, and AI economics—not model intelligence—determine who wins the AI race?This week, the biggest AI stories weren't just about new models. They revealed three major shifts that every business leader should be paying attention to. Governments are becoming active gatekeepers of frontier AI. Companies are moving away from "use the smartest model for everything" toward cost-optimized AI strategies. And specialized AI solutions are rapidly gaining ground over one-size-fits-all frontier models.If you're leading AI adoption inside your organization, these changes will influence your technology choices, budgets, competitive strategy, and long-term planning.In this episode, Isar connects the dots between regulation, economics, and innovation to explain where AI is heading—and what it means for businesses over the next 12–24 months.In this session, you'll discover:Why the U.S. government's approach to frontier AI appears to have shifted dramatically.What the Anthropic and OpenAI model restrictions could mean for future AI releases.Why China's AI ecosystem may benefit from tighter U.S. controls.How regulatory decisions could affect OpenAI, Anthropic, and their upcoming IPO ambitions.Whether independent AI safety auditors could become the future of AI regulation.Why Ford rehired hundreds of engineers after discovering AI couldn't fully replace experienced talent.What OpenAI's latest model revealed about AI reliability and model "cheating."Why enterprises are abandoning expensive frontier models for dramatically cheaper alternatives.How companies like Lindy, Uber, Amazon, and Glean are changing their AI spending strategies.Why orchestration layers and specialized AI models may become more valuable than simply building larger foundation models.The week's most important rapid-fire AI product launches, funding announcements, and industry developments.About Leveraging AIThe Ultimate AI Course for Business People: https://multiplai.ai/ai-course/YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/eventsIf you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

Lumida Wealth founder and CEO Ram Ahluwalia joins Chris Lustrino to discuss how the company is building an AI-powered wealth management platform for sophisticated investors. Ram frames Lumida as a next-generation investing platform designed to combine the best parts of brokerage accounts, financial advisors, market intelligence, and AI-powered portfolio tools into one experience. The conversation explores why traditional 60/40 portfolios may not fit the next generation of investors, how Lumida uses AI agents and factor models to surface investment ideas, and why Ram believes investors increasingly want more control, better insights, access to pre-IPO opportunities, and a stronger sense of community. Chris and Ram also discuss Lumida's growth, revenue traction, customer profile, business model, and long-term vision for an AI wealth advisor that can eventually understand an investor's full financial picture, goals, risk tolerance, and portfolio needs.

Bob recently appeared on the "Human Reaction" podcast, where host David Rand asked him various questions concerning the economics of AI. Although frequent BMS listeners will have heard these themes before, there is new material in this discussion.Mentioned in the Episode and Other Links of Interest:The YouTube version of this episode.The Human Reaction YT channel.This episode's sponsor, the free Plan-B guide from ExPatMoney.Help support the Bob Murphy Show.

On this episode of The Karol Markowicz Show, Karol sits down with Mollie Hemingway to discuss her new book, Alito, and the lasting impact of Samuel Alito on the Supreme Court and the Constitution. Mollie shares behind-the-scenes stories from the Court, explains why Justice Alito remains one of the most influential — and least understood — justices in America, and discusses major rulings including Dobbs, Hobby Lobby, and gerrymandering cases. The conversation also dives into media bias, the Russia collusion narrative, faith, family life, parenting, and why Mollie believes Americans will soon crave authentic, human-created content in an AI-driven world. Plus, Karol and Mollie discuss journalism, conservative culture, raising children, and the future of political storytelling in America.See omnystudio.com/listener for privacy information.

Artificial Intelligence was created by modeling human cognition. While AI was built to run on slow and deliberate thinking processes, humans maintained dominance in fast, intuitive, emotion based cognition : until now. This book follows the rise of AI from a background tool to a force that shapes how we think, feel, and experience the world.

Every organization is in a race to adopt artificial intelligence. Few are asking the more important question: are our people ready to work alongside it? The organizations that will win the next decade are not the ones with the most advanced technology — they are the ones with the culture strong enough to absorb, adapt to, and leverage it.   AI does not fail because of the algorithm. It fails because of the humans around it — the ones who resist it, misuse it, or never trusted the organization enough to embrace it in the first place. Culture is what determines whether AI becomes a force multiplier or an expensive distraction. In this session, we will examine the relationship between organizational culture and AI adoption, and make the case that investing in culture is not the soft alternative to investing in technology — it is the prerequisite.   In this episode: Meagan Bond, Tom Bradshaw, Nic Kruegar, Rich Cruz, Dr. Emi Barresi, Imani Nakyanza   I/O Career Accelerator Course: https://www.seboc.com/job Visit us https://www.seboc.com/ Follow us on LinkedIn: https://bit.ly/sebocLI Join an open-mic event: https://www.seboc.com/events   References:   Boston Consulting Group. (2024). AI at work: Friend and foe. Boston Consulting Group. Deci, E. L., & Ryan, R. M. (2000). The "what" and "why" of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11(4), 227–268. Edmondson, A. C. (1999). Psychological safety and learning behavior in work teams. Administrative Science Quarterly, 44(2), 350–383. https://doi.org/10.2307/2666999 Edmondson, A. C. (2018). The fearless organization: Creating psychological safety in the workplace for learning, innovation, and growth. Wiley. G2. (2025). Global AI adoption statistics and trends 2025. G2 Research. Hermann, E., Puntoni, S., & Morewedge, C. K. (2024). Humanizing artificial intelligence: Self-determination theory and AI adoption. Journal of Consumer Psychology. McKinsey & Company. (2025). The state of AI: How organizations are rewiring to capture value. McKinsey & Company. McManus, M. (2024). AI transformation is 70% people and 30% technology [Executive presentation]. Boston Consulting Group. Mirbabaie, M., Stieglitz, S., et al. (2025). AI identity threats and reinforcement in organizations. In Proceedings of the 58th Hawaii International Conference on System Sciences. University of Hawaiʻi at Mānoa. MIT Sloan Management Review, & Boston Consulting Group. (2025). The state of generative AI in the enterprise. MIT Sloan Management Review. PwC. (2025). Global workforce hopes and fears survey 2025. PricewaterhouseCoopers. Shonhe, L., & Min, K. (2025). Mitigating AI-induced professional identity threat and fostering adoption in the workplace. AI & Society. World Economic Forum. (2025). The future of jobs report 2025. World Economic Forum.

Google's DeepMind division is putting about 75 million dollars into indie studio A24, the company behind recent hits like “Backrooms” and “Marty Supreme,” in what both sides describe as an AI research partnership to build new tools for film production and distribution, not a traditional content or IP deal.

What happens when we repeat the mistakes of the early internet? In this episode of Coffey & Code, Ashley Coffey sits down with immersive technology pioneer Ben Erwin to explore one of the most important conversations happening in AI and XR today: why open standards, interoperability, and digital ownership matter more than ever. From his early work building websites in the 1990s to developing projects for the United Nations, the New York Times, and founding the Academy of Immersive Arts & Sciences, Ben shares how decades of experience have shaped his vision for the future of immersive technology. Together, Ashley Coffey and Ben Erwin unpack the intersection of AI, open source software, virtual reality (VR), augmented reality (AR), mixed reality (MR), WebXR, creator rights, public media, ethics, and the future of the internet. If you care about where technology is headed—and who gets to shape it—this conversation is essential listening! In this episode, you'll learn: Why open standards matter for the future of AI and XR How Flash's collapse still impacts today's technology decisions The hidden risks of closed platforms and walled gardens Why interoperability is critical for spatial computing The future of digital ownership in AI and immersive media How creator economies can become more ethical and sustainable Why immersive technology needs its own public media ecosystem Lessons startups can learn before building the next generation of AI products What today's AI revolution can learn from the early web Why education and open ecosystems will determine who wins the next decade   EPISODE CREDITS:Produced and edited by Ashley Coffey. Cover art designed by Ashley Coffey.Headshot by Brandlink MediaIntroduction music composed and produced by Ashley Coffey LINKSFollow Coffey & Code on Instagram, Facebook, Linkedin, and YouTube for the latest emerging tech updates! Subscribe to the Coffey & Code Podcast wherever you get your podcasts to be notified when new episodes go live. © 2026 Coffey & Code Podcast. All rights reserved. The content of this podcast, including but not limited to text, graphics, audio, and images, is the property of Ashley Coffey and may not be reproduced, redistributed, or used in any manner without the express written consent of the owner. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

It's a very uncomfortable end to June with temperature records once again being broken across Europe. The technology world is moving forward unabated, though, still talking about AI and, in particular, the workforce and infrastructure that underpins it.Do we have the talent to meet the demand for AI? Do we have the power to keep our data centers operational? And can the European Union get us off our dependence on Google Workspace and Microsoft 365?ITPro's news editor Ross Kelly joins Jane and Bobby to look back on some of the most interesting stories of the month.‘Open source should rest on transparency, not deception': Euro-Office ‘sovereignty' claims questioned in scathing open letter by LibreOffice maintainers | IT ProThe UK is running on fumes as data center build-outs can't keep pace with demand | IT ProUK faces huge AI talent shortage | IT Pro

Artificial intelligence will continue to transform how data centers are designed, built, and operated, placing new demands on energy systems, infrastructure, and reliability. As AI workloads grow more intensive and always‑on, meeting these challenges will require a coordinated, systems‑level approach.  In this episode, Patrick Hughes, SVP of Technical and Industry Affairs at the National Electrical Manufacturers Association (NEMA) will explore the AI Data Center Energy Performance Framework, developed in collaboration with ASHRAE and Pacific Northwest National Laboratory. The Framework provides practical, expert‑driven guidance to help owners, operators, engineers, and policymakers navigate the evolving AI landscape.  He will provide an overview of why the Framework was created and how it is intended to be used. With thousands of data centers already operating—and many more planned—AI will drive higher load densities and increase pressure on both facilities and the grid. The Framework offers a shared foundation to align energy performance, reliability, and resilience across the full lifecycle of a data center.  The conversation will also highlight NEMA's role in ensuring electrical systems are fully integrated into data center design. Power distribution, safety, and infrastructure will need to work seamlessly with cooling and thermal management to avoid operational risks and support long‑term performance.  A key theme of this Framework is collaboration. By bringing together NEMA's leadership in electrical infrastructure, ASHRAE's expertise in building systems, and PNNL's energy research capabilities, the Framework will bridge traditional silos and promote a more integrated approach.  We will also discuss how the Framework supports both new builds and existing facilities, helping organizations modernize infrastructure to meet AI demands. As a living, evolving resource, it will adapt alongside rapid changes in technology and energy needs. He'll also explore what it means for communities and policymakers as data center growth accelerates—offering a path to balance innovation with reliability, efficiency, and long‑term infrastructure planning. 

With the rise in AI - what will we start seeing in the workplace? We talked to Ryan Evers, a hiring expert with Robert Half on the implementation of AI in the workplace and the future of it playing a role in our work life!

This week we are going behind the scenes of Config 2026 with Loredana Crisan (Figma's Chief Design Officer) https://www.linkedin.com/in/loredanacrisan/We talk about Figma's vision for AI, why design is having “an identity crisis and a renaissance at the same time,” and what it means to use AI to express what's already in your head (not outsource creativity to it).It's a clarifying conversation about taste, tools, and the future of design

Avery Ching, Co-Founder & CEO at Aptos Labs, joined me to discuss the latest developments on the Aptos blockchain, including privacy, AI, and more.Topics: - Aptos the first L1 where dynamic dispatch can be formally verified - Aptos commits $50M to expand its tech stack for trading and AI workloads- AI and Blockchain synergy - Privacy on the Aptos blockchain Brought to you by

Most people think healthcare is broken by accident.Mark Cuban says it isn't.In part two of our conversation, he explains the hidden companies who really control healthcare, where AI is headed, and the biggest opportunities most people are missing.He also shares the advice he gives young people, the three “superpowers” he believes matter more than talent, network, or money, and the one question he thinks everyone should ask themselves.

Could the next generation of computers be built from living brain cells? In this episode, Dr. Fred Jordan, CEO and Co-Founder of FinalSpark and AlpVision, explores the groundbreaking frontier of wetware computing and how biological neural systems may reshape the future of technology. With a background in signal processing and deep expertise in both cybersecurity and biocomputing, Dr. Jordan is pioneering research into organoid intelligence using lab-grown brain tissue to perform computational tasks traditionally handled by silicon-based systems. In this conversation, we explore: ·       What brain organoids are and how they are created and structured. ·       How living neural systems differ from traditional AI and digital computing. ·       The potential advantages of biocomputers in efficiency and adaptability. ·       How close we are to scaling wetware computing for real-world applications. Blending neuroscience, AI, and synthetic biology, this episode offers a fascinating look at a future where computation may no longer be purely digital but biological. To learn more about Dr. Fred Jordan and his work, click here. Episode also available on Apple Podcasts: https://apple.co/38oMlMr Keep up with Fred Jordan socials here: X: https://x.com/DrFredJordan  Youtube: https://www.youtube.com/@alpvisionanti-counterfeiti4354 

Summary: In this episode, Adrian and Roshan explorethe rapidly growing world of AI tokens, their impact on costs, efficiency, and investment opportunities. They discuss how tokenization affects AI performance, energy consumption, and global investment prospects.Hashtags: AI tokens, tokenization, AI investment,energy consumption, data centers, memory chips, AI growth, investmentopportunitiesSocial Media Description: New Episode Out Now: AItokens—what they are, why they matter, and how they could shape the future of technology, efficiency, and investment opportunities. Listen now!Chapters00:00 Introduction and Episode Overview00:15 Guest Introduction and Personal News00:38 Understanding AI Tokens and Their Significance02:27 How Tokenization Affects AI Products and Costs04:47 Global Investment Opportunities with EfficientTokenization06:46 Growth Projections and Usage of AI Tokens10:19 Memory and Conversation Length in AI11:36 Investment Opportunities in AI Infrastructure andSupply Chain15:47 Power and Energy Bottlenecks in Data Centers20:01 Human-AI Interaction and Token Efficiency24:34 Supply Chain Bottlenecks: Memory and Data Centers30:04 Future Outlook and Investment Strategies in AI32:05 Risks, Challenges, and the Future of AI Investmenthttps://retirementlifestyleshow.com/⁠⁠⁠⁠ ⁠⁠⁠⁠https://www.retirewithroshan.com⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@retirementlifestyleshow⁠⁠⁠⁠ ⁠⁠⁠⁠https://twitter.com/RoshanLoungani⁠⁠⁠⁠ ⁠⁠⁠⁠https://www.linkedin.com/in/roshanloungani⁠⁠⁠⁠⁠⁠⁠⁠https://www.facebook.com/retirewithroshan⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/adrian-nicholson-74b82b13b⁠⁠⁠⁠  All opinions expressed by podcast hosts and guests are solely their own. While based on information they believe is reliable, neither Arete Wealth nor its affiliates warrant its completeness or accuracy, nor do their opinions reflect the opinion of Arete Wealth. This podcast is for general informational purposes only and should not be regarded as specific advice or recommendations for any individual. Before making any decisions, consult a professional

See more: https://thinkfuture.comConnect with Brian: https://www.linkedin.com/in/brian-herr/---The AI gold rush is ending. What comes next?In this episode of thinkfuture, host Chris Kalaboukis speaks with Brian Herr about where AI is really heading—and why the next wave of winners won't be the companies building AI wrappers.Brian argues that AI isn't a completely new paradigm. It's the latest step in a decades-long evolution of human-computer interaction, moving from punch cards and command lines to graphical interfaces and now natural language.The real story isn't AI itself.It's what happens when AI becomes infrastructure.We explore:Why AI is a natural evolution of user interfacesThe shift from AI hype to real business valueWhy VCs are moving from “AI wrappers” to “AI-safe” investmentsThe importance of defensible moats like proprietary data and domain expertiseWhy AI should be treated like a smart intern, not a magical oracleThe future of agentic AI and autonomous systemsWhy smaller, specialized models may outperform giant general-purpose modelsThe rise of local AI running directly on personal devicesWhy trust, governance, and observability are critical for enterprise AINeural interfaces as the next frontier of human-computer interactionBrian believes we're entering a market correction similar to the dot-com era, where companies built solely on access to AI models will struggle, while businesses solving real problems will thrive.If you're interested in AI startups, venture capital, enterprise AI, agentic systems, or the future of technology, this conversation provides a practical roadmap for what comes next.

AP correspondent Charles de Ledesma reports G7 leaders are discussing the contentious future of artificial intelligence and U.S dominance in the industry on the summit's last day.

By Doug Green “Everything is fighting for your attention.” In this episode of the Technology Reseller News podcast, Doug Green speaks with Gerry Christensen, trusted industry strategist at ICA AI, about the future of business-to-consumer communications, AI-powered voice solutions, and how enterprises, carriers, MSPs and channel partners can prepare for a post-agentic AI communications environment. Christensen says ICA AI is focused on making it easier for consumers and businesses to engage with the calls and messages they actually want, while filtering out the unwanted traffic. The company uses AI, including deterministic AI, to help determine whether a call should be allowed through, blocked, or handled through an AI-powered interaction layer. The conversation looks ahead to a future where AI is increasingly used for outbound calls, contact center interactions, appointment setting, collections, notifications and even person-to-person communications. Christensen says AI-to-AI interactions are likely to become more common, where one person's AI assistant may interact with another person's AI assistant before a human conversation ever takes place. That future, he says, will require governance, transparency and trust. Consumers may accept AI-driven communication, but they will want to know when AI is being used and whether the entity behind the call can be trusted. “What matters is, do you trust who's calling you?” Christensen says. The podcast also explores the risks of AI being used by bad actors. Agentic AI can automate useful workflows, but the same capabilities can also be used to create more convincing fraud, impersonation and scam attempts. Christensen says that is why solutions such as ICA AI will become increasingly important as AI-powered communications become more common. For enterprises, the implications are significant. Contact centers, collections teams, healthcare organizations, appointment-setting operations and customer service groups may all use AI to reach consumers more efficiently. At the same time, they will need systems that help ensure legitimate calls get through while unwanted or harmful traffic is blocked. Christensen describes ICA AI's current approach in three parts: allow calls that should go through, block known bad calls, and use AI to handle the middle ground where additional screening or interaction is needed. That middle ground may become especially important as consumers increasingly rely on their own AI tools to manage communications. For MSPs, channel partners and carriers, Christensen says there is also an opportunity. ICA AI is developing channel partnerships and licensing its technology to carriers, creating a path for providers to bring AI-powered call protection and engagement tools to their customers. As AI becomes more deeply embedded in communications, Christensen says the industry needs to prepare now. The future may include dynamic AI-to-AI exchanges, more intelligent call handling, and new ways for consumers to control their attention. But that future will also demand trust, accountability and stronger protections against abuse. Learn more at icatrusted.ai  

Send us Fan MailAI, will it bring about the apocalypse, or just change the world?AI is making headlines daily. It is changing how we create online content, make web pages, buy products, receive medical care, invest in the stock market, etc. Will this tech bring about the end of the world if left unchecked? Will it just make early adopters wealthy? Forrest and Patrick dive into this cutting-edge topic, discuss how they are using it, how they have tested it, and their predictions about the future.GarvinAcademy.com Join PrepperNet.Net - https://www.preppernet.netPrepperNet is an organization of like-minded individuals who believe in personal responsibility, individual freedoms and preparing for disasters of all origins.PrepperNet Support the showPlease give us 5 Stars! www.preppingacademy.com Daily deals for preppers, survivalists, off-gridders, homesteaders  https://prepperfinds.com www.preppernet.com

Syngenta’s Jeremy Groeteke joins Margy Eckelkamp to discuss the shift from collecting data to taking action. Explore the three buckets of AI, the future of autonomous farming, and how retailers can overcome "data fatigue" to deliver real-world ROI and profitability to their grower customers.See omnystudio.com/listener for privacy information.

In this episode, Swyx, founder of AI Engineer, joins us live from AI Engineer Europe in London, alongside Louis Knight-Webb. We cover how AI Engineer grew from a single San Francisco conference into a global community, why industry AI work needs better venues for sharing, and what is changing in AI DevTools, code execution, research, PLG, enterprise sales, and human-written content in the age of AI.Links:• Swyx's LinkedIn• Swyx on X• Louis Knight-Webb's LinkedIn• Louis Knight-Webb on X• AI Engineer• AI Engineer Europe• AI Engineer YouTube• AI Engineer on X

Check out the next episode of our podcast, Under the Surface. In episode 16, When Proteins Move: Woody Sherman on Computational Chemistry, Molecular Simulation, and the Future of AI in Drug Discovery, we chat with Woody Sherman, Founder and Chief Innovation Officer at PsiThera, and a longtime leader in computational chemistry, about how he went from studying quantum polymers to shaping modern tools like Induced Fit Docking.  Woody shares the moment that pulled him into protein simulations, his early exposure to AI at MIT, and how an internship at Biogen set him on the path to industry. He also reflects on his years at Schrödinger, building solutions, writing code, and learning how to solve real problems for scientists. Topics: How application scientists help connect research with real-world industry needs Woody's journey from university research to starting Silicon Therapeutics How tools like induced fit docking were created How drug discovery platforms have changed over time What's different between working in industry and in academia What's next for open molecular software and AI working together (02:05) Why mentorship matters for scientists (04:15) Woody's path through school and research (09:10) Shifting into custom molecular simulations (12:00) Going from the academic world to industry (15:00) Creating new tools for drug discovery at Schrodinger (22:10) Putting together a team of experts (26:15) Working together on drug design platforms (34:00) Leading application science teams around the world (41:45) Starting up Silicon Therapeutics (45:58) Progress in the development of the STING agonist medicine (49:00) Launching PsiThera (56:30) Focusing on inflammation and the immune system (60:15) Sharing science and data openly (69:00) How AI will shape the future of drug discovery (80:30) What Woody enjoys outside of work (82:20) Final thoughts and getting involved with the community Listener discretion is advised.  

Send us Fan MailApple's Worldwide Developers Conference just happened - and the message for home builders is bigger than most people realize. In this solo episode, Anya Chrisanthon - CCO at Anewgo - breaks down the biggest announcements from WWDC 2026 and translates them into plain language for home builder sales and marketing leaders.Siri goes agentic Apple rebuilt Siri from the ground up - powered by Google's Gemini and Apple's own on-device models. The new Siri doesn't just answer questions. It takes actions across apps on behalf of the user. Composing emails, managing files, performing multi-step tasks without manual navigation. The home buying version of this - scheduling tours, requesting brochures, getting answers about a specific floor plan - is coming. The builders whose digital presence is ready for it will have a significant advantage.Visual Intelligence in the Camera app Apple introduced a dedicated Siri mode inside the camera app. A buyer standing in front of your model home points their camera at the exterior - and Siri tells them the elevation, color scheme, community, and starting price if that information is structured and accessible online. Apple just built the infrastructure for a visual AI layer that sits on top of every physical space a buyer walks into. That changes what a model home experience looks like.The hidden feature Apple didn't announce After the keynote, developers discovered a hidden Extensions framework in the iOS 27 developer beta that lets users swap ChatGPT, Claude, and Gemini inside Siri - infrastructure Apple built but chose not to announce. Apple is hedging. Siri becomes the container. The AI model underneath can be whatever the user prefers. When a buyer asks their phone about your homes, it might be Siri answering. Or ChatGPT through Siri. Or Claude. Or Gemini. If your digital presence doesn't give any of those AI systems enough specific, accurate, structured information to answer with confidence - you're not in that conversation. This is exactly why AEO matters across all platforms, not just one.Search gets faster Apple rebuilt the foundation of search across Spotlight, Mail, and Photos - and the new infrastructure indexes new files and data almost immediately. The lag between publishing content and having it surfaced by AI systems is closing. A community page that hasn't been updated in six months is going to look stale in a way it never did before.

Yoko Li and Justine Moore speak with Ideogram founder and CEO Mohammad Norouzi about image generation models, design workflows, and the evolving relationship between AI and creative work. The conversation covers Ideogram's decision to release an open-weight model, the challenges of generating text and layouts within images, and why controllability has become an increasingly important area of research. They discuss prompting, customization, editing, and the tradeoffs between general-purpose models and systems optimized for specific creative tasks. Along the way, Norouzi shares his views on open-source AI, design tools, agentic workflows, and how image generation models may evolve as creators and enterprises seek greater control over their outputs.   Resources: Follow Mohammad Norouzi on X: https://x.com/mo_norouzi Follow Yoko Li on X: https://x.com/stuffyokodraws Follow Justine Moore on X: https://x.com/venturetwins   Stay Updated: If you enjoyed this episode, be sure to like, subscribe, and share with your friends! Find a16z on X: https://x.com/a16z](https://x.com/a16z Find a16z on LinkedIn: https://www.linkedin.com/company/a16z Listen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYX Listen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711 Follow our host: https://x.com/eriktorenberg Please 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 http://a16z.com/disclosures.  Check out everything a16z is doing with artificial intelligence here, including articles, projects, and more podcasts. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

The launch of the Arm AGI CPU marks one of the most significant milestones in Arm's history. In this episode of Arm Viewpoints, Brian Fuller sits down with Arm VP Eddie Ramirez to explore why Arm made the leap from IP and compute subsystems to deployment-ready silicon, and what that means for the future of AI infrastructure. They discuss the rise of agentic AI, the growing importance of CPUs in orchestrating AI workloads, the power and efficiency challenges facing modern data centers, and how Arm is positioning itself to help organizations deploy AI at unprecedented scale. Along the way, Eddie shares behind-the-scenes insights from the AGI CPU launch event and offers a glimpse into how AI, cloud infrastructure, and physical intelligence may evolve over the next five years.

As AI and data centers drive unprecedented energy demand, where will the power come from? In the 100th episode of the Oilfield 360 podcast, hosts David de Roode and Victoria Beard Queen welcome back the show's very first guest, Jamie Stewart, president of EnQuest Energy Solutions. Stewart shares how EnQuest evolved from a frac-equipment company into a growing player in natural gas power solutions, driven by the rising need for reliable energy infrastructure. The conversation explores distributed power, workforce challenges, industry relationships, and the opportunities created by the AI-driven energy boom.00:00 Why Oil and Gas Matters00:36 Podcast and Sponsors01:59 Welcome and 100th Episode02:39 How the Show Began06:19 Introducing Jamie Stewart07:55 EnQuest After COVID09:29 EnQuest Business Overview10:27 Power Generation Pivot14:32 Data Centers Need Everything17:14 How EnQuest Entered Power19:51 Efficiency vs Demand21:42 Hiring and Culture23:44 Talent Shortage Reality27:00 Why Join EnQuest Now28:13 Natural Gas Frac Future30:40 Engine Tech Explained31:11 Natural Gas Fuel Savings32:23 Going Fully Gas Powered32:54 Safety Culture And Learning34:04 Networking And Industry Events36:15 Barbecue Competition Stories40:24 Petroleum Museum Magic41:27 EnQuest Future Vision43:17 Life Outside EnQuest45:27 Cooking And Grill Tales47:45 Meeting Natalie And Giving Back50:42 Parting Wisdom And Wrap

This week, Wanye and Baggedmilk discussed the a healthy array of topics, including the Edmonton Oilers' coaching search, the duck controversy at Nation HQ, and the future of robotics. Hosted on Acast. See acast.com/privacy for more information.

Today's guest is Chandra Sekhar Chappa, Global Head, Co-Innovation - ServiceNow at Google Cloud. Founded in 2016, Google Cloud is Google's enterprise cloud computing platform, providing organizations with scalable infrastructure, data analytics, AI, machine learning, security and application development services. Google Cloud helps businesses modernize operations, accelerate innovation, and securely build, deploy and manage applications and data at scale across hybrid and multi-cloud environments.Chandra is a technology leader with over 16 years of experience across product management, cloud operations, IT service management, infrastructure, and governance, risk and compliance. He specializes in ServiceNow, hyperscaler partnerships, cloud marketplace integrations, and enterprise service management. Chandra has led large-scale technology initiatives that have generated significant revenue growth and cost savings, while helping more than 1,100 enterprise customers improve cloud governance and operational efficiency.In the episode, Chandra talks about:0:00 His journey from IT tutor to leader in ServiceNow innovation at Google2:08 The importance of mentors in his career and giving back4:31 How the Google Cloud - ServiceNow integration/partnership combines AI with workflow transformation5:26 Enabling enterprise-scale workflows, execution and governance8:01 How their AI control tower provides full agent visibility and governance10:26 How the Google Cloud - ServiceNow integration/partnership enables real-time data and AI-driven CRM gains13:29 His advice to leverage AI ecosystems, avoid POCs and build faster15:51 The need to use trusted partners, align leadership and balance decision-making17:58 How mentorship, self-belief and persistence through uncertainty leads growthTo find out more about all the great work happening at Google Cloud, check out the website cloud.google.com

About ZviMy history with Zvi Mowshowitz goes back over 20 years to our days as teammates on the Magic Pro Tour, where we won a Grand Prix and top-8ed a Pro Tour together. After his competitive gaming career and a stint designing games at Wizards of the Coast and heading up a Cyberpunk TCG design team in Denver, Zvi took his unique systems-thinking mind into high-stakes finance. He managed risk as a professional bookmaker in sports betting, traded crypto for a hedge fund, and worked quantitative trading desks at firms like Jane Street. Today, he's focused his incredible intellect on the world of artificial intelligence, writing five times a week at his blog, Don't Worry About the Vase, tracking the breakneck evolution of large language models and the critical safety challenge of AI alignment. In this episode, we dive deep into the math of pattern recognition, our wild days on the Pro Tour, the high-stress realities of trading, and how to navigate the massive societal shifts coming with AI. Zvi delivers insights on rationality and adaptability that will resonate with anyone trying to think clearly in a rapidly changing world. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit justingarydesign.substack.com/subscribe

Segments Long Trail Trivia Trek Propaganda: Check out the Trek's Youtube Processing QOTD:  Everyone on earth takes a private vote by pressing a red or blue button. If more than 50% of people press the blue button, everyone survives. If less than 50% of people press the blue button, only people who pressed the red button survive. Which button would you press? Sun Hoodie Review - REI Flash Shade  Triple Crown of town food to hike out with Mail Bag 5 Star Review [divider] Check out our sound guy @my_boy_pauly/ and his coffee. Sign up for the Trek's newsletter Leave us a voicemail! Subscribe to this podcast on iTunes (and please leave us a review)!  Find us on Spotify, Stitcher, and Google Play. Support us on Patreon to get bonus content. Advertise on Backpacker Radio Follow The Trek, Chaunce, Badger, and Trail Correspondents on Instagram. Follow Backpacker Radio, The Trek and Chaunce on YouTube. Follow Backpacker Radio on Tik Tok.  Our theme song is Walking Slow by Animal Years. A super big thank you to our Chuck Norris Award winner(s) from Patreon: Alex and Misty with NavigatorsCrafting, Alex Kindle, Andrew, Austen McDaniel, Bill Jensen, Brad & Blair Thirteen Adventures, Bret Mullins aka Cruizy, Bryan Alsop, Carl Lobstah Houde, Christopher Marshburn, Clint Sitler, Coach from Marion Outdoors, Eric Casper, Erik Hofmann, Ethan Harwell, Gillian Daniels, Greg Knight, Greg Martin, Griffin Haywood, Hailey Buckingham, Jackson Storm, JaredNotFromSubway, Jason Kiser, Jason "The Snail" Snailer, Luke Netjes, Matty in AZ, Patrick Cianciolo, Randy Sutherland, Rebecca Brave, Rural Juror, Sawyer Products, The Saint Louis Shaman, Timothy Hahn, Tracy 'Trigger' Fawns A big thank you to our Cinnamon Connection Champions from Patreon: Bells, Benjy Lowry, Bonnie Ackerman, Brett Vandiver, Chris Pyle, Dakota J, David Neal, Dcnerdlet, Denise Krekeler, Jack Greene, Jeanie, Jeanne Latshaw, Lloyd Harris, Merle Watkins, Peter, Quenten Jones, Ruth S, Salt Stain, Sloan Alberhasky, and Tyler Powers.

On this episode of What Are You Good At (a THINK Business & Sales series)… Jeff Gunsberg and I sat down with Henry King, author of Autonomous: Why the Fittest Businesses Embrace AI for Strategies and Digital Labor, for one of the most eye-opening AI conversations we've had on the show. Henry has spent years inside Accenture, Salesforce, and the consulting world — giving him a rare lens on how fast business is changing and what leaders must prepare for next. We talked about: Why the last 3–6 months of AI adoption have moved faster than the last few years. Why most people are still using ChatGPT like Google, and what that's costing them. Why the companies that win will be the ones bold enough to rethink everything: org charts, workflows, roles, and the relationship between humans and machines. And Henry breaks down exactly why we're about to see AI as digital colleagues, not just productivity tools. Top 3 Takeaways 1. Generative AI is not the finish line, it's the warm-up. The real disruption is agentic AI that performs work, makes decisions, and becomes part of the workforce. 2. The human advantage is shifting. We win with curiosity, imagination, empathy, and better questions, not effort or years of experience. 3. Leaders must design for movement, not stability. The dust isn't settling. The organizations that thrive will be the ones built for flexibility, experimentation, and constant reinvention. --- Henry King Innovation Strategist and Advisor | Co-author of best-selling books BOUNDLESS and AUTONOMOUS | ex-Salesforce, Deloitte Consulting, Accenture Leader in Innovation, Transformation and Technology. 30+ years experience helping companies meet their growth and transformation goals, both in the US and internationally, with expertise in i) Innovation Strategy and Management, ii) Digital Transformation, iii) Information Technology Leadership, Strategy, and Full Lifecycle Management iv)Thought Leadership, Writing and Teaching Co-author of the best selling book ""Boundless: A New Mindset for Unlimited Business Success"". Co-author of the upcoming book ""Autonomous: Why the Fittest Businesses Embrace AI-First Strategies and Digital Labor"". Specialties: Innovation Strategy, digital Transformation, Concept Development and Implementation, Customer Experience Optimization and Innovation, Capabilities Development, Organizing for Innovation, Innovation Management, Chief Information Officer, IT Strategy, Systems Development Connect with Jon Dwoskin: Twitter: @jdwoskin Facebook: https://www.facebook.com/jonathan.dwoskin Instagram: https://www.instagram.com/thejondwoskinexperience Website: https://jondwoskin.comLinkedIn: https://www.linkedin.com/in/jondwoskin Email: jon@jondwoskin.com Get Jon's Book: The Think Big Movement: Grow your business big. Very Big! Connect with Jeff Gunsberg:Website: https://title-connect.com Connect with Henry King:LinkedIn: https://www.linkedin.com/in/henry-king-88ba109/ *E - explicit language may be used in this podcast.  

Today, we unpack artificial intelligence. What does it do well? And how is it advancing science? This episode features the BBC's Zoe Kleinman, Oxford University's Mike Wooldridge, Raj Jena, the UK's first clinical professor of AI in radiation oncology, and Google's Annalisa Pawlosky... Like this podcast? Please help us by supporting the Naked Scientists

Dan Nathan sits down with Lux Capital partner Shahin Farshchi and AI investor Ann Bordetsky from the RBC Private Tech Conference to explore what comes after ChatGPT — and where the next wave of AI is headed. From defense, robotics, semiconductors, and space infrastructure to AI agents, enterprise software, and the future of work, these conversations break down the technologies, companies, and trends shaping the next decade. They also discuss trillion-dollar valuations, venture capital, hyperscalers, and what separates breakout AI winners from the rest. —FOLLOW USYouTube: @RiskReversalMediaInstagram: @riskreversalmediaTwitter: @RiskReversalLinkedIn: RiskReversal Media