Podcasts about future of 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.

Continuing their examination of the assumptions underlying today's dominant AI narrative, David and Kate explore the role of human expertise in building effective AI systems. They discuss the often-overlooked human work that underpins current AI, from reinforcement learning and quality assurance to research, teaching, and domain expertise. The conversation highlights how diverse forms of human capital, collaboration, and innovation may be far more important to the future of AI than simply increasing data and compute.

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.

AI is changing business, leadership and organisational decision-making. Yet is it truly thinking, or merely producing fast and fluent responses that can reinforce existing assumptions? In this high-level leadership interview, Niels Brabandt speaks with Cambridge Professor and AI pioneer Dr Mark Khater about the future of AI, the limits of machine intelligence and the capabilities leaders must protect in themselves and their organisations. Dr Mark Khater explains why machines may process fast, but humans must still think deep. The conversation explores AI as infrastructure, not merely technology, the strategic importance of signal over scale, the danger of using AI only for cost-cutting, and the leadership risk of silent correlation failure, where organisations become aligned around the wrong answer. Niels Brabandt and Dr Mark Khater also discuss bias in AI models, the cultural limitations of English-dominant training data, the problem of "yes models", and why leaders need diverse thinkers, devil's advocates and stronger judgment in an AI-enabled world. For decision-makers in business, this episode provides a clear and practical perspective on responsible AI leadership, organisational capability and the future of work. Niels Brabandt works internationally as a leadership expert, trainer, speaker, coach, consultant, mentor, and project and interim manager. More information: www.NB-Networks.biz Host: Niels Brabandt / NB@NB-Networks.com Contact Niels Brabandt: https://www.linkedin.com/in/nielsbrabandt/ Niels Brabandt's Leadership Letter: https://expert.nb-networks.com/ Niels Brabandt's Website: https://www.nb-networks.biz/ 

On today's Labor Radio Podcast Daily: The Future of Work examines whether artificial intelligence will boost productivity and help workers—or deepen inequality and insecurity. In labor history, President Kennedy signed the Equal Pay Act in 1963. Quote of the day: John F. Kennedy. @wpfwdc @AFLCIO #1u #UnionStrong #LaborRadioPod Proud founding member of the Labor Radio Podcast Network. Produced by Chris Garlock, Patrick Dixon and Harold Phillips.

Dr. Martha Boeckenfeld is Human-Centric AI & Future Tech | Keynote Speaker & Board Advisor | Healthcare + Fintech | Generali Ch Board Director· Ex-UBS · AXA. She is a globally recognised expert in digital transformation, AI, blockchain, and Web3 in major areas special in Finance and Healthcare. She is the CEO and Founder of Marthaverse, a consulting and education platform that helps businesses and executives navigate digital transformation.Read more about Dr. Martha Boeckenfeld: https://businessabc.net/wiki/martha-boeckenfeldDr. Martha Boeckenfeld Interview Questions00:00 - Intro04:01 - Background08:15 - From sci-fi to reality14:10 - career in finance and fintech21:10 - The imperative of people network education24:58 - work Life balance30:38 - Social impact work33:49 - Marthaverse38:36 - The duality of human nature44:45 - The digital AI divide53:53 - Tech products to empower humanity01:00:38 - The Digital Zen Age01:05:17 - ClosureUseful Links and Resourceshttps://ch.linkedin.com/in/drmarthaboeckenfeldhttps://www.fastfutureexecutive.com/marthaboeckenfeldhttps://irishtechnews.ie/founder-of-the-marthaverse-martha-boeckenfeld/About businessabc.nethttps://www.businessabc.net/About citiesabc.comhttps://www.citiesabc.com/​​​​​​​​​​​ About Dinis Guardahttps://www.dinisguarda.com/https://businessabc.net/wiki/dinis-guardaBusiness Inquiries- info@ztudium.comSupport the show

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

The following article of the Tech industry is: 'What ZionSiphon Reveals About Future of AI-Driven Cyber Conflict' by Sneer Rozenfeld, CEO, Yahalomn Foundation. 

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

Send us Fan MailBobby Ford, a seasoned cybersecurity leader and CISO turned strategist, joins us for a powerhouse discussion on how AI is reshaping social engineering threats and what organizations need to do now to stay protected. From militaristic origins to startup innovation, Bobby's insights are both visionary and urgent. This episode is a must-listen for anyone serious about defending against tomorrow's cyber threats.Timestamps:00:00 - Why social engineering AI threats are now more relevant than ever02:12 - The importance of transparency about what you don't know in cybersecurity04:25 - The ‘third why' technique to test real expertise in security conversations06:40 - How a podcast episode led to a future leadership role at Doppel08:08 - Bobby's journey from military cybersecurity to startup strategy09:52 - The early days of Pentagon incident response teams and military innovation11:45 - De-gaussing hard drives in the 1980s and the evolution of data destruction13:09 - The FBI's updated wiping standards and data recovery advances14:16 - The challenge of data forensics and how little data is enough to piece together activity14:53 - How social engineering tests can be made more realistic and effective15:49 - The importance of testing controls, not just user awareness16:46 - Building resilient organizations with layered digital and human defenses18:46 - Why preventing attacks before they land is critical in AI-driven threats19:37 - External versus internal controls and the threat from outside-in protections22:23 - Social engineering as an effort to engineer humans for good or bad23:42 - How generative AI makes it impossible for users to tell real from fake24:17 - The alarming rise in convincing, AI-generated phishing emails and calls25:54 - The necessity of shifting accountability from users to technology27:19 - AI-to-AI attack scenarios and the future of autonomous cyber conflict29:34 - Mirroring military AI strategies in digital cyber warfare31:08 - The role of internet localization and firewalls in a future of AI-enabled conflict33:41 - How security controls will evolve in an AI-powered world36:49 - Why security is a business enabler, not just a gatekeeper41:29 - The history of security's “catch-up” game and embracing digital transformation44:47 - The mindset of a cyber mercenary—focusing on outcomes and results46:45 - The rapid evolution toward zero-day, AI-enabled breaches49:57 - The four pillars of AI-fueled attacks: hyper-personalization, multi-channel, speed, and volume51:13 - How a simple online search can make attack success egregiously easy52:05 - Demonstration of AI-based social engineering at scale, terrifying yet promising defenses56:41 - Bobby's closing thoughts: security as outcome-driven and resilientDoppel:  https://www.doppel.com/LinkedIn: https://www.linkedin.com/in/bobbyjford/Support the showFollow the Podcast on Social Media!Tesla Referral Code: https://ts.la/joseph675128YouTube: https://www.youtube.com/@securityunfilteredpodcastInstagram: https://www.instagram.com/secunfpodcast/Twitter: https://twitter.com/SecUnfPodcastAffiliates➡️ OffGrid Faraday Bags: https://offgrid.co/?ref=gabzvajh➡️ OffGrid Coupon Code: JOE➡️ Unplugged Phone: https://unplugged.com/Unplugged's UP Phone - The performance you expect, with the privacy you deserve. Meet the alternative. Use Code UNFILTERED at checkout*See terms and conditions at affiliated webpages. Offers are subject to change. These are affiliated/paid promotions.

The following article of the AI Cloud & Data industry is: 'The Future of AI-Powered CRM and Digital Strategy in Mexico' by Ricardo Urrea, Sales Director Mexico, HubSpot.

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.

Until now, we've approached AI on the show as something we all need to experiment with, adapt to, and lean into. Today, we are taking a different approach. This is the episode where we share our frank views on where the world is at with AI development, and why the governance gap between what's being built and how it's being governed keeps us awake at night. We're not here to alarm you but we do think this is a conversation we all need to be a part of. The good news is that plenty of others think this is important too.We talk about Pope Leo XIV's remarkable encyclical Magnifica Humanitas and the fact that he invited Anthropic co-founder Christopher Olah to speak alongside him at its launch. What Olah said is under-reported yet very significant. And now, the very morning after we recorded this, Anthropic has published a major blog piece on where AI model development is heading and they also included clear calls for a global slow down on frontier model development: “If it were possible to effectively slow the development of this technology to give ourselves more time to deal with its immense implications, we think that would likely be a good thing.” The timing of this significant post just emphasises to us what an important window of time we are in right now. In this episode you'll hear:The astonishing AI city simulation that raises uncomfortable questions about autonomous agents left to their own devicesWhy voices from inside the AI industry itself are now calling loudly for oversight and regulationWhat the Pope's encyclical says about power, purpose, and who AI should serveWhy the state of Illinois just passed what many are calling America's strongest AI safety legislation yet, and Simple, concrete ways each of us can make our voices countThis is the episode for those who want agency and to be pawns engaged citizens of the world. Useful LinksPope Leo XIV's Encyclical letterAnthropic's June 4th blog Emergence AI Agent Experiment Info Hosted on Acast. See acast.com/privacy for more information.

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

Send us Fan MailOver the last several years, artificial intelligence has transformed from a speculative concept in healthcare into one of the most heavily funded movements in pharmaceutical and biotech history.But in 2026, the conversation is changing. The question is no longer whether AI can generate molecules, analyze pathology slides, or identify patterns in clinical data. The real question is: which of these technologies can survive the complexity of biology, regulatory scrutiny, clinical validation, and real-world deployment?Today we're joined once again by returning guest Bill Taranto, President and Founding Partner of the Merck Global Health Innovation Fund ( https://www.merckghifund.com/ ), alongside Managing Director, Dr. David Rubin, who brings a deep scientific background spanning molecular biology, oncology, precision medicine, and digital health investing.Together, Bill and David sit at a unique intersection of pharma strategy, venture investing, translational science, and clinical deployment. Through investments across AI-driven drug discovery, precision medicine, diagnostics, and digital health - including early involvement with companies like PathAI - they've had a front-row seat to what's actually working in AI-enabled healthcare…and what still breaks down when these systems encounter real-world medicine.Today we'll explore where AI is genuinely creating value across the pharmaceutical stack, why some approaches are beginning to achieve meaningful validation, what investors and pharma companies are now demanding beyond hype, and how entirely new experimental models - from organoids to AI-native biology platforms - may reshape the future of drug development.#AI #ArtificialIntelligence #DrugDiscovery #Biotech #Pharma #HealthcareAI #PrecisionMedicine #DigitalHealth #Oncology #PathAI #Roche #Biology #MachineLearning #BiotechInvesting #VentureCapital #Merck #DigitalPathology #ClinicalTrials #FutureOfMedicine #LifeSciences #AIHealthcare #MedicalInnovation #Biotechnology #CancerResearch #PrecisionOncology #Bioinformatics #HealthcareInnovation #Pharmaceuticals #MedTech #ProgressPotentialPossibilitiesSupport the show

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.

From advising the White House on science and technology policy to leading AI strategy at the University of Utah, Dr. Manish Parashar discusses how artificial intelligence is reshaping research, industry and everyday life.

Most AI systems follow a gradient, a mathematical slope that tells them exactly how to improve, step by step, toward a known goal. Neuroevolution doesn't follow any gradient. Instead, it runs hundreds or thousands of competing solutions simultaneously, spreads them across the space of possibilities as broadly as possible, and lets the best ones recombine, the same logic that drives biological evolution. The result, as Risto Miikkulainen explains to Craig Smith, is creativity: solutions that no human designer would have anticipated, that emerge routinely from the evolutionary process. Miikkulainen is a professor at UT Austin and VP of AI Research at Cognizant AI Labs, and he has been working on this field since the 1980s, which makes him both a historian of it and one of its most active frontiersmen. The conversation covers a remarkable range: a mystery model that outperformed every competitor in a recent stock trading competition with forensic footprints pointing to neuroevolutionary AI; Sakana AI's system that autonomously designed experiments, wrote a paper, and had it accepted at a major machine learning conference; and a pandemic decision system that trained overnight and made country-specific recommendations by morning, with Iceland actually following some of them, all the way to the prime minister. Subscribe to Eye on A.I. for weekly conversations with the people building and deploying the future of AI.

In this episode of the AI Agent & Copilot Podcast, Giuseppe Ianni, AI Practice Lead and industry thought leader, is joined by Nandita Puri, PhD Candidate at Georgia Tech and founder of Illumia.bio. Puri discusses how AI is transforming drug discovery by creating massive therapeutic libraries, connecting fragmented biomedical knowledge, and dramatically accelerating research timelines. Their conversation explores the convergence of AI, structural biology, and life sciences. Key Takeaways AI Expands the Search Space for New Therapeutics: Traditional drug discovery focuses on identifying a single drug for a single target, but Puri argues that diseases are complex biological systems requiring broader approaches. Her team is building an AI-generated library of more than 10 billion molecules across multiple therapeutic modalities. By treating drug discovery as a combinatorics problem, researchers can explore vastly larger therapeutic possibilities. Connecting Fragmented Scientific Knowledge Accelerates Discovery: One of the biggest bottlenecks in pharmaceutical research is the fragmented nature of scientific information. Researchers often spend years reviewing hundreds of papers before forming a hypothesis. Puri describes how her team is integrating 60 to 70 public databases into a connected knowledge platform that links diseases, genes, proteins, pathways, and drug candidates. As she notes, "When we type a disease, we know exactly the gene, we exactly know the protein." This consolidation dramatically reduces research time and enables scientists to make more informed decisions earlier in the discovery process. AI Creates New Opportunities for Rare Disease Research: Rare diseases have historically been underserved because of the high costs and long timelines associated with traditional drug development. Puri says that bringing a drug to market can require "$1 billion and about 10 years." By shortening research cycles from years to months, AI lowers the barriers to investigating diseases that pharmaceutical companies may have previously avoided. This acceleration enables smaller teams to pursue treatments for conditions affecting fewer patients while increasing the likelihood that promising therapies can move forward to validation and clinical testing. Visit Cloud Wars for more.

How do you stay in control of AI while still benefiting from everything it can do? As AI becomes more powerful, many leaders are focused on getting AI to do more work. But perhaps the better question is: How do you make AI more effective without letting it influence your thinking, your brand, or your business direction? In this episode of Grounding AI, Donna Peterson explores why leaders must remain the decision-makers while using AI as a tool to strengthen expertise, deepen customer relationships, and improve business outcomes. You'll learn why AI should enhance your knowledge rather than replace it, how to train AI around your company's goals and values, and the questions every leader should ask before using AI-generated recommendations. If you're responsible for marketing, sales, leadership, customer relationships, or business strategy, this episode offers practical guidance for maintaining control while leveraging AI effectively. In This Episode: Why AI naturally influences decisions and direction The difference between getting AI to do more and getting AI to be more effective How leaders can maintain ownership of their expertise Why your brand voice must remain stronger than AI suggestions The importance of building AI libraries and organizational knowledge Questions to ask before every AI prompt How to keep customer relationships at the center of AI adoption A simple test to determine if AI is helping or leading your business Key Takeaway Before every prompt, ask yourself: What am I trying to accomplish? Why does it matter to my audience? What action do I want people to take? Does this align with our company values and goals? The more direction you provide, the more valuable AI becomes. Connect With World Innovators // Website: www.worldinnovators.com Subscribe for weekly conversations on AI, leadership, trust-building, marketing strategy, and practical business growth. *** Reach out to dpeterson@worldinnovators.com if you'd like help building a marketing strategy that builds relationships and/or AI training for individuals or full teams.*** Visit www.worldinnovators.com for more resources on building stronger marketing and leadership strategies.*** Subscribe to the Grounding AI podcast for weekly insights into marketing, leadership, and the future of AI.

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.  

In this episode, Warren Ingram and Ruphert Hare explore the impact of artificial intelligence on various industries, emphasizing its current applications, future potential, and the importance of staying updated. Rupert from Prestient Investment Management shares insights on AI integration, misconceptions, and the evolving job landscape.Chapters00:00 Introduction to AI in Financial Services02:47 The Evolution of AI and Its Impact05:14 Job Displacement and Economic Growth07:50 The Role of Human Touch in AI10:49 Future-Proofing Careers in an AI World13:21 The Rise of Craftsmanship and Niche Skills15:56 Democratization of Skills and Services18:50 The Future of Financial Planning21:17 Conclusion and Final ThoughtsLearn more about Prescient Investment Management here.Send us Fan MailHave a question for Warren? Don't forget to voice note your questions through our WhatsApp chat on (+27)79 807 8162 and you could be featured in one of our episodes. Follow us on Twitter, LinkedIn and subscribe to our YouTube channel for more Financial Freedom content: @HonestMoneyPod

My podcast guest this week is Andy Hock, Chief Strategy Officer at Cerebras.  Andy and I are discuss the the revolutionary details of the Cerebras Wafer-Scale Engine (WSE). We also explore where the next major competitive frontier lies for AI hardware, how the latest WSE addresses the critical latency and energy efficiency challenges of deploying massive AI models for inference and Cerebras' role in democratizing access to large-scale AI research and deployment.

Anthropic co-founder Jack Clark joins The Observer to reveal why he believes there is a chance we will see human-level AI by 2028. From how AI is already changing the job market to a historic meeting at the Vatican, he explains why we must prepare for a future where technology forces us to rethink what it means to be human. Hosted on Acast. See acast.com/privacy for more information.

Farzad returns to the podcast for an in-depth discussion about the future of AI. Our kids will grow up in a world shaped by artificial intelligence. This episode emphasizes the importance of understanding the ai future and how it impacts the future of work. Dads are encouraged to embrace ai literacy to prepare themselves and their children for the evolving landscape, fostering ai innovation rather than fear. About Farzad: Farzad has spent over a decade studying and working inside the world of technology — first as a Tesla insider, then as a full-time creator and analyst exploring how AI, automation, and human ingenuity are shaping the next era of civilization. It's about understanding where the world is actually heading — through the lens of real data, human behavior, and first-principles thinking. From the rise of AI-driven industries and autonomous systems to the economics behind innovation, his goal is to make complex ideas accessible — to help people see how these massive shifts connect, and what they mean for our future. He even wrote a book outlining this entire thesis - Abundance or Collapse. Follow Farzad: Website: https://farzad.fm/

In episode 189 of Cybersecurity Where You Are, Sean Atkinson sits down with Ed Skoudis, President of SANS Technology Institute. Together, they discuss the present and future of pentesting enabled by artificial intelligence (AI).Here are some highlights from our episode:00:39. Introductions to Ed01:49. The promise of AI-enabled pentesting in creating more secure infrastructure04:52. AI-enabled and AI-centric workflows in the realm of penetration testing08:03. Wranglers, matadors, and centaurs, oh my! Metaphors for AI-enabled pentesters13:00. How AI can assist with reporting, enumeration, and scanning as part of a pentest14:57. AI-enabled source-assisted pentesting and the types of vulnerabilities it finds19:50. A learning opportunity for the broader cybersecurity community23:44. How AI and human analysts could split the workload in a future penetration test25:54. AI-enabled pentesting vs. AI pentester in a box29:51. Why "human in the loop" might be too passive a phrase30:37. The use of AI for source code developmentResourcesMythos AI: What Actually Matters for Cybersecurity LeadersSecure by DesignSEC543: AI-Assisted Source Code Analysis and Exploitation for Penetration TestersEpisode 108: Gaming and Competition in CybersecurityEpisode 59: Probing the Modern Role of the PentestIf you have some feedback or an idea for an upcoming episode of Cybersecurity Where You Are, let us know by emailing podcast@cisecurity.org.

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

In this episode, Ronjon Paul, MD, Orthopedic Spine Surgeon, Endeavor Health Medical Group, discusses developing multidisciplinary spine programs, leading within a large health system, and how AI is transforming patient care, clinical decision making, and physician workflows.

In this episode, Pooja Ranjan interviews Kevin Jones, a leader at Edge and Node and creator of 1Claw - an innovative infrastructure platform designed to secure AI agents and manage secrets. They explore the critical vulnerabilities in AI workflows, how 1Claw addresses these risks, and the future of AI security in decentralized ecosystems.

Alex Nahas is 28 years old and has already initiated a W3C web standard. Working as a backend engineer at Amazon, he ran into a problem most enterprises face: MCP requires OAuth, but most enterprise infrastructure runs on SAML. His solution was elegant: run the MCP server in client-side JavaScript, letting AI agents use the browser's existing authentication context rather than rebuilding auth from scratch. What started as an internal tool became an open source project, then a viral Hacker News post published while under anesthesia, and ultimately an invitation from Google and Microsoft to help shape WebMCP as an official web standard. In this episode, Alex and Tobi explore what WebMCP actually is, why the browser is the most underestimated sandbox in AI development, and what the agentic web might look like two years from now. Topics covered: What MCP actually is and why it's just an RPC framework at its core Why OAuth is a dealbreaker for most enterprise infrastructure How WebMCP lets AI agents operate within existing browser authentication The Hacker News post that started it all, and why Alex doesn't remember posting it How Chrome is natively building WebMCP support The chicken-and-egg problem of standard adoption Real-time bidding for agents and what it means for digital advertising Why agents don't need their own identity Where the agentic web is headed in the next two years

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

Points of Interest 00:00 – 01:00 – Introduction: Marcel welcomes Colin Hewitt, CEO and founder of Float, and frames cash flow as the lifeblood every agency depends on. 01:01 – 02:09 – The Origin of Float: Colin shares how running his own agency exposed the limits of spreadsheet-based forecasting and led him to build a cash flow product for service businesses. 02:10 – 05:24 – Direct vs Indirect Cash Flow Methods: A look at why traditional P&L-derived forecasts age the moment they are finished, and how a hybrid direct method delivers a forecast owners can trust day-to-day. 05:24 – 07:31 – Why Agency Cash Flow Is Uniquely Complex: Retainers, milestone billing, and time-and-materials projects each behave differently — modeling them well requires more nuance than most generic tools provide. 07:32 – 09:09 – The Trade-Offs of Outsourcing the Forecast: When forecasting is handed off entirely, owners often lose the context behind the numbers and end the month more confused than clear. 09:09 – 12:48 – Precision vs Accuracy in a Forecast: Colin and Marcel discuss the tension between infinitely precise forecasts and forecasts that owners will actually maintain — and how to find the right level for the business. 12:48 – 14:07 – Mapping Budgets to the Accounting System: A deliberate separation between transactional accounting detail and forward-looking budget categories keeps the forecast usable without doubling the work. 14:07 – 16:54 – Cash Flow Strategy When Things Get Tight: Visibility into the next 30, 60, and 90 days lets owners distinguish a temporary blip from a structural issue — and decide what to push, chase, or restructure. 16:54 – 18:47 – Pulling Cash Forward and Deferring Expenses: A short walk-through of practical levers — invoice financing, payment timing, expense sequencing — and a pointer to a deeper episode on the topic. 18:47 – 21:10 – AI's Impact on Software and Agencies: Colin reflects on what is changing for SaaS founders and what is opening up for agencies as the cost of building software falls. 21:10 – 23:43 – Where Software Moats Hold Up in an AI World: A candid view on which products remain defensible — auditability, trust, collaboration — and which become commoditized prompts. 23:43 – 27:23 – When Conversational Interfaces Replace UIs: A near-future where owners interact with agents instead of dashboards, and the underlying systems quietly stay in sync. 27:23 – 30:43 – Sustainability and Boundaries Around AI Work: A frank conversation about the pull of constant tinkering, the risk of AI-driven bloat, and the case for considered, well-crafted decisions. 30:43 – 35:20 – Speed vs Velocity, and Closing Thoughts: When everything can be built, the discipline shifts to choosing what to build — and Colin shares where listeners can follow along with Float. Show Notes Float Website Colin Hewitt on LinkedIn The Definitive Guide to Improving Your Agency's Cash Flow with Carson Pierce – Ep.210   Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode, Ronjon Paul, MD, Orthopedic Spine Surgeon, Endeavor Health Medical Group, discusses developing multidisciplinary spine programs, leading within a large health system, and how AI is transforming patient care, clinical decision making, and physician workflows.

In this episode, Ronjon Paul, MD, Orthopedic Spine Surgeon, Endeavor Health Medical Group, discusses developing multidisciplinary spine programs, leading within a large health system, and how AI is transforming patient care, clinical decision making, and physician workflows.

Recorded live at Arm's AGI CPU launch event March 24, 2026, this Arm Viewpoints panel brings together senior leaders from across the business to unpack the journey behind Arm's latest milestone. Will Abbey, Dermot O'Driscoll, Steve Halter and Eric Hayes explore how Arm has evolved from a world-class IP provider to delivering full compute subsystems—and now, silicon. The conversation traces Arm's path into the data center, the rise of AI-driven infrastructure demand, and the engineering, ecosystem, and operational shifts required to build at scale. From performance-per-watt and system-level design to supply chain readiness and partner collaboration, this discussion offers a behind-the-scenes look at what it takes to deliver compute for the AI era—and what comes next in an increasingly agentic world.

What happens when AI intelligence becomes commoditized? That is the question sitting at the heart of this episode recorded live at Team '26 in Anaheim, where I sat down with Sherif Mansour to unpack one of the biggest shifts happening in enterprise technology right now. For years, the AI conversation has focused on models, prompts, and raw capability. But according to Sherif, the real competitive advantage may no longer come from the intelligence itself. It comes from context. The workflows, relationships, decisions, knowledge, and operational history that exist inside an organization. In this conversation, Sherif takes me deep inside Atlassian's biggest AI announcements around Rovo, Teamwork Graph, AI-powered workflows, and the company's broader vision for what happens when AI moves beyond isolated copilots and starts operating across the flow of work itself. We explore why Atlassian believes organizational context is becoming the defining moat in enterprise AI, why the company is opening Teamwork Graph through MCP and external integrations, and how the industry is rapidly shifting from AI experimentation toward real operational execution. Sherif also myth busts some of the biggest misconceptions surrounding AI adoption today. We discuss the difference between automation and orchestration, why humans still remain central to decision-making, and how enterprises can avoid adding complexity while still moving quickly in the AI era. Along the way, we discuss real-world examples ranging from Formula One race strategy and procurement workflows through to AI-powered onboarding, engineering productivity, and the growing role of agentic systems inside large organizations. One of the most fascinating parts of the discussion centers around the evolution of enterprise software itself. Atlassian no longer sees AI as a standalone assistant sitting in a chat window. Instead, the vision is for AI to become deeply embedded into workflows, helping teams coordinate work, surface insights, and accelerate decision-making in real time. Sherif also shares why he believes the next major platform battle will not be over who owns the smartest AI model, but over who owns the operational context surrounding that intelligence. If you're trying to separate real enterprise AI progress from the hype cycle, this episode offers a thoughtful and refreshingly honest look at where things may actually be heading next. As always, I'd love to hear your thoughts. Is organizational context becoming the real competitive advantage in AI? And how prepared is your business for a future where humans and AI agents increasingly work side by side? Please check the partners of the Tech Tech Talks Network Learn more about the NordLayer Browser Visit Denodo.com

As organizations race to adopt AI and navigate rapid digital transformation, a troubling paradox is emerging. According to LinkedIn, 93% of IT leaders say they're confident in their AI governance—yet 29% admit AI has already exposed sensitive, unauthorized data. At the same time, nearly half of finance leaders (48%) are being asked to adopt new technologies under tight headcount constraints, forcing a sharper focus on cost-effective, secure solutions. So, what's really driving competitive advantage in 2026? It's no longer just the technology. It's the people. Research continues to reinforce this shift. A recent study by Deloitte found that while 59% of organizations are still taking a technology-first approach to AI, those companies are 1.6x more likely to fall short of expected returns compared to those that prioritize a human-centered strategy. Meanwhile, insights from McKinsey & Company show that 48% of CFOs are focused on navigating inflation and regulatory pressure while adopting new technology, and 44% are prioritizing cost reduction—making clarity, not complexity, the true currency of leadership. In this episode, we sit down with Noah Landow, CEO of Macktez, who has spent nearly 30 years helping founders and executives “tame the tech beast.” Noah doesn't just solve technical problems—he redesigns how organizations think about technology. With a background rooted in architecture and design, his philosophy is simple but powerful: Technology should have structural integrity—it should support both the people and the mission it serves. Through his work, Noah helps leaders: But what makes this conversation truly unique is how Noah connects technology leadership to seemingly unrelated disciplines: Because in a world where AI is rapidly becoming ubiquitous and replicable, the real differentiator isn't the tools—it's how humans use them. This episode challenges a critical assumption: What if the organizations winning with AI aren't the most advanced technically, but the most aligned culturally?   For more information: https://macktez.com/ Discover More: https://noahlandow.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices

Lisa Liu is the Corporate Marketing & Communications Manager at Stellar Cyber. In this episode, she joins host Charlie Osborne to discuss the future of AI in cybersecurity, including challenges, its differences from other industries, advancements, and more. This episode is brought to you by Stellar Cyber. Learn more about our sponsor at https://StellarCyber.ai.

Serve Robotics (SERV) CEO Ali Kashani discusses the company's 578% year-over-year revenue growth and why the focus is shifting from expansion to improving monetization per robot. He says AI robot capabilities will improve over time, with hospitals and healthcare emerging as major long-term opportunities.======== 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

Google DeepMind's Dr. Alan Karthikesalingam and Google research scientist Anil Palepu sit down with Dr. Monty Pal to discuss the potential of Articulate Medical Intelligence Explorer (AMIE), a large language model-based experimental medical AI system designed to augment clinical decision-making in oncology and beyond, as well as the future of AI-human collaboration and how it could reshape health care over the next decade. LINK TO FULL TRANSCRIPT

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.

If you ask Office of Personnel Management Director Scott Kupor how he thinks about the role of AI in his agency's mission, he'll tell you he sees two different prevailing perspectives: one with a “big OPM” mission and another for “little OPM.” At least that's how he described it to me recently at UiPath's Fusion conference in Washington, DC. During our interview, Kupor shared about juxtaposition, emerging AI use cases that OPM is driving forward, and much more. The Department of Homeland Security intends to continue its work with Cellebrite, a provider of digital forensics hardware and software tools, according to forecast documents released last week. Immigration and Customs Enforcement, as well as the department's Homeland Security Investigations unit, plan to award a five-year, indefinite delivery, indefinite quantity contract with a $100 million ceiling to the vendor later this year. Cellebrite's products enable the agency to access data from cellphones, tablets and — more recently — unmanned aerial vehicles. The Israeli firm's data extraction capabilities are “the most widely utilized and deployed computer forensic tool” within HSI, per the document. Cellebrite has been deployed across DHS, including its reported use within the Secret Service to break into the phone of the man who shot President Donald Trump at a campaign rally in Butler, Pa., in 2024. DOGE's playbook for using artificial intelligence to eliminate regulations was on full display at the Department of Housing and Urban Development last summer with the introduction of an AI tool built for the “extermination” of federal housing rules. Documents obtained by Democracy Forward via Freedom of Information Act requests reveal a PowerPoint presentation delivered at HUD on SweetREX, a tool named for DOGE associate Christopher Sweet, according to Wired reporting last August. The new documents, shared with FedScoop, laid out a multistep process in which all HUD regulations would be analyzed by the AI. The tool would then provide recommendations to “keep, delete, or partial delete” each rule, per the presentation. Attorneys would review the suggestions and agency staffers would make the final decision. HUD regulations cover everything from the prohibition of discrimination on the basis of sex in mortgage assistance to providing legal aid for foreclosure-related issues. The Daily Scoop Podcast is available every Monday-Friday afternoon. If you want to hear more of the latest from Washington, subscribe to The Daily Scoop Podcast  on Apple Podcasts, Soundcloud, Spotify and YouTube.

Matt Schultz, CEO of CleanSpark (CLSK), explains how Bitcoin mining is becoming critical for the future of AI. Matt also notes how pairing Bitcoin mining with AI through data center infrastructure creates a stronger partnership between energy providers and next gen computing.======== Schwab Network ========Empowering every investor and trader, every market day.Options involve risks and are not suitable for all investors. Before trading, read the Options Disclosure Document. http://bit.ly/2v9tH6DSubscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

Jacob Shiff, chief AI and technology officer at the Centers for Medicare and Medicaid Services Innovation Center (CMMI), joins Josh Israel, MD, and Sean Cavanaugh to dive deeper into the Advancing Chronic Care with Effective, Scalable Solutions (ACCESS) Model. The model focuses on improving patient outcomes while encouraging clinicians to utilize technology-enabled solutions to deliver personalized, preventive care to those with chronic conditions, like hypertension and diabetes. Shiff shares that the goal is to give primary care physicians more support, while offering patients affordable and convenient care options. With continuous advancements with artificial intelligence (AI) and technology, Shiff hopes the ACCESS model will allow clinicians to use these advances to better engage with patients to improve outcomes. The Centers for Medicare and Medicaid Services (CMS) has extended the ACCESS application deadline to May 15: https://www.cms.gov/priorities/innovation/innovation-models/access Learn more about Aledade's participation in ACCESS: https://aledade.com/newsroom/aledade-news/aledade-joins-cms-access-model

Email: bidemiologunde@gmail.comIn this episode, host Bidemi Ologunde explores the rising trend of humanoid robot production and what it means for the future of work, healthcare, privacy, and everyday life. From robot half-marathons in Beijing, China, to humanoids entering factories, warehouses, hospitals, and homes, this episode asks: Are these machines helping us build a healthier relationship with technology? Who benefits when robots take on repetitive or dangerous work? What happens to privacy when robots enter personal spaces? And how can society make sure humanoid robots expand human well-being rather than quietly reshape life on terms we did not choose?

In this episode, I sit down with Mark Hughes, co-founder and CEO of Solid Road, for a real conversation about how AI is reshaping customer experience and what that means for leaders today. We explore how tools like the Claude coworking system are changing team communication and improving transparency, and why Mark sees radical transparency as a key to building trust and ownership across an organization. We also get into how leadership evolves as companies scale, why hiring specialists matters, how your role shifts as a leader, and what it takes to step into a more strategic mindset. Mark shares his own journey through that transition, along with the lessons he's learned along the way. We wrap up by looking at how embracing AI isn't just about efficiency, but about fostering a culture of continuous learning, adaptability, and growth. Episode Highlights & Time Stamps 6:34 The Power of AI in Customer Experience 8:41 Managing Team Burnout 10:02 Core Leadership Principles 11:34 The Importance of Ownership 13:52 Defining Radical Transparency 17:17 Future of AI-Driven Leadership 23:34 Evolving Leadership Practices About Mark Hughes Mark Hughes is the co-founder and CEO of Solidroad, a company focused on using AI to improve how customer-facing teams train, perform, and deliver support. His work centers on building AI agents that help companies coach their teams, analyze conversations, and raise the overall quality of customer experience at scale. Before launching Solidroad, Mark founded Gradguide, a mentorship and coaching platform for recent graduates, where he raised funding, built a team, and successfully exited the company. He also brings deep experience from roles in sales, support, and customer success leadership, previously leading EMEA teams at Chargify (now Maxio) and working as an early sales hire at Intercom. Through Solidroad, Mark is helping organizations rethink how teams learn and improve, combining AI-driven insights with real-world training to accelerate onboarding, boost performance, and create more consistent customer experiences. How to Connect with Mark Hughes: LinkedIn: Mark Hughes https://www.linkedin.com/in/mark-hughes-a36915a7 Company Website: Solidroad https://www.solidroad.com/ Resources & Next Steps Ready to take your leadership energy to the next level? Explore free training and resources at https://training.coreelevation.com/ to help you identify energy leaks, strengthen your leadership presence, and elevate your team's performance.

In this episode of Innovation & Leadership, Jess Larsen sits down with Alex Yeh, founder of GMI Cloud, to explore the rise of AI infrastructure and the idea of a new “AI internet.” Alex explains how this next wave of computing is fundamentally different—where information is generated on demand rather than stored—and how his company is building the systems that power it.Alex shares his journey from fintech founder and crypto investor to building large-scale data centers across the U.S. after China's sudden crypto crackdown. His story highlights persistence, rapid learning, and the willingness to take on challenges far outside his expertise to create opportunity.The conversation dives into GMI Cloud's mission to make AI accessible to anyone, enabling faster innovation and even the possibility of a billion-dollar company run by a single individual. Alex also outlines how AI will transform organizations by automating communication and dramatically increasing productivity.Whether you're a founder, investor, or operator, this episode offers practical insights on scaling, hiring top talent, and preparing for an AI-driven future. Learn more at GMI Cloud Learn more about your ad choices. Visit megaphone.fm/adchoices

Gwyneth sits down with Dr. Dawn Mussallem, the chief medical officer for Fountain Life, a longevity clinic powered by AI. They talk about Dawn's incredible health journey–from beating stage four non-Hodgkin lymphoma while in medical school to undergoing a heart transplant at 46–and how that experience now informs her work in the medical field and integrating the powers of AI into health care. To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices