Who Controls Medical AI and What Do They Want?
In this episode, Dr. Eric Topol discusses the promise and pitfalls of medical AI, highlighting how nearly 1,000 FDA‑approved AI tools exist but are rarely used in routine care, while millions turn to unregulated chatbots for health advice. He explains that AI can improve disease detection—citing a 29% boost in cancer detection—and enable decades‑early risk prediction for major age‑related illnesses, yet institutional inertia, reimbursement challenges, and profit‑driven control by insurers, tech firms, and hospital administrators hinder adoption. Topol warns that without careful governance, AI could become another revenue‑focused tool like electronic health records, exacerbating inequities, but he also points to successful implementations in places like China that demonstrate AI’s potential to enhance prevention and restore clinician‑patient time.
Can Data Centers Keep Up With AI Demand? | TG Explains AI
In this episode of TG Explains AI, host Greg Bryan talks with Phil Lawson‑Shanks, chief innovation officer at Align Data Centers, about how the AI boom is reshaping data‑center geography, engineering, and sustainability. Phil explains the shift toward power‑rich zones,...
Why Foundation Models Haven’t Replaced Classical Machine Learning
In this episode, co‑founders Dora Shin and Mustafa Abdel‑Baki of Disarray explain why foundation models haven’t supplanted classical machine‑learning (ML) for enterprise tasks like forecasting, fraud detection, and recommendation. They argue that foundation models struggle with proprietary, tabular data and...
Building an AI Guardian for Enterprise with Onyx Security CEO Maxim Bar Kogan
In this episode, Maxim Bar Kogan, CEO of Onyx Security, explains how his company is building AI‑guardian agents that monitor and control other autonomous AI agents used by enterprises. He traces the rise of autonomous agents from early experiments like...
Can A.I. Make People Feel Less Lonely?
The Daily episode explores the growing loneliness crisis among older Americans and how artificial intelligence is being used to combat it. Journalist Eli Saslow profiles Jan Worrell, an 85‑year‑old woman living alone on a remote Pacific coast peninsula, who receives...
AI Applied: Understanding AI's ROI
In this episode of AI Applied, host Jaden Schaefer talks with Connor Grennan, CEO of AI Mindset, about how to measure the return on investment (ROI) of AI initiatives. They argue that ROI should be viewed like any employee salary—by...
VC: The $575B AI Bet (Biggest Since the World Wars) and the New Two-Buyer Reality in Software | Tomasz Tunguz,...
In this GTM Now episode, Tomas Tunguz of Theory Ventures explains that AI infrastructure spending is on track to become the fifth‑largest U.S. infrastructure project ever—about $575 billion by 2030—as hyperscalers pour roughly $12 into data‑center build‑out for every $1 earned from...
Ep 785: What’s New in Gemini 3.5 Flash, Google Omni and Antigravity 2.0: Hands On With the Latest From Google...
In this episode of the Everyday AI Show, host Jordan Wilson breaks down three of Google I/O’s most talked‑about AI releases: Gemini 3.5 Flash, the Gemini Omni Flash video model, and the new Antigravity 2.0 desktop coding app. He demonstrates each...
Why Your AI Strategy Is Failing - Barry O'Reilly (Author, Artificial Organizations)
In this episode, Barry O'Reilly explains why AI initiatives fail when organizations start with tools instead of behavior change, noting that 85% of Gen AI projects and 83% of transformations flop for this reason. He shares personal examples—from using transcription...
He Raised $70M to Cure Every Disease With AI
In this episode, host Lucas Wald talks with Sam Rodriguez, founder and CEO of Edison Scientific and Future House, about using AI agents to accelerate biological research and drug discovery. Rodriguez explains how his team built the multi‑agent system Cosmos,...
Help for Hemp: Drone Technology Could Ease Inspection Burden While Ottawa Sorts Out New Rules
In this episode of Real Agriculture, host Amber Bell talks with Dr. Jan Slasky of Mirabilis Hemp Consulting about using drone‑captured imagery and machine‑learning vision recognition to automate hemp seed‑field inspections. By distinguishing male from female plants from aerial photos,...
Ep 784: Google’s Big I/O Releases, Pope’s Warning on AI, Meta’s Dark AI Cuts and More
The episode reviews the week’s biggest AI headlines, focusing on Google’s massive I/O announcements—including the faster Gemini 3.5 Flash model, the multimodal Gemini Omni, and the always‑on Gemini Spark personal agent—alongside OpenAI’s new Codex features such as app‑shots, goal mode,...
#216: Google I/O, Musk V. OpenAI Verdict, Andrej Karpathy Joins Anthropic & Meta Layoffs
The episode dives into Google I/O’s rollout of the agentic Gemini era, highlighting Gemini 3.5 Flash, Gemini Spark personal agents, and the new AI‑enhanced search box, while noting the model’s quirks and the broader push toward AI agents. It also...
AI Made Your App Teams 10x Faster. Nobody Gave Your Platform Team 10x the Headcount.
In this episode, Emma, who leads OpenAI's data platform infrastructure engineering group, explains how her team builds and maintains the foundational data systems that power OpenAI's products and research. She covers the breadth of their work, from big‑data analytics and...
Why AI Isn’t Killing SaaS Yet
In this episode, hosts Jack Farley and Max Wheatley talk with Ramp lead economist Ara Karazian about the myth of a "SaaSpocalypse" driven by AI. Karazian explains that real business spend data shows seat‑based SaaS contracts still dominate (65‑75% of...
The Confluence Podcast for 5.24.2026
The episode examines a breakthrough in generative AI, highlighting OpenAI's new general model that solved the decades‑old planar unit distance problem and Anthropic's Mythos model uncovering major cybersecurity flaws. It contrasts these abstract achievements with the practical challenges of deploying...
Can AI Fix the NHS Workforce Crisis?
In this episode, host James chats with Ash, CEO of Patchwork, about the NHS’s staffing crisis and how AI‑driven, preference‑based rostering could help retain clinicians and cut temporary staffing costs. They explain how traditional fixed‑pattern rotas ignore individual work‑life preferences,...
GPUs, Kubernetes & AI Infrastructure Realities
In this episode, Frank Denerman discusses the challenges of running AI workloads—especially GPU‑intensive models—on Kubernetes and why virtualizing the Kubernetes layer with VMware’s solutions is essential. He explains how Dynamic Resource Scheduling (DRS) and Dynamic Resource Allocation (DRA) provide fine‑grained,...
How China Hijacked Bernie & AOC's War on AI | Bitcoin Policy Hour EP 38
The episode examines how Chinese officials covertly influenced U.S. AI policy, highlighting a Senate panel where two Chinese Communist Party representatives were invited by Bernie Sanders and Alexandria Ocasio-Cortez to argue against AI data center expansion—contradicting China’s own push for...
Episode 157: Generating New Robot Designs - Josie Hughes
In this episode, host Claire Asher talks with Josie Hughes, an assistant professor at EPFL and leader of the CREATE Lab, about using AI to generate novel robot hand and manipulator designs. Hughes explains how her team combines large language...
Hugging Face's Clem Delangue on Open Source AI and the LLM Bubble | MTS Live
Clem Delangue, CEO of Hugging Face, discusses the vital role of open‑source AI in fostering innovation and competition, contrasting the U.S.'s recent shift toward closed‑source LLM APIs with China's surge in open‑source contributions. He argues that the current hype around...
Breaking Your AI Storage Bottlenecks
In this episode, MinIO co‑CEOs Garima Kapoor and Anand Babu Paryasamy discuss NVIDIA's new STX reference architecture, a purpose‑built DPU‑based storage system designed to feed GPUs at ultra‑high speeds. They explain how traditional commodity servers hit bottlenecks in PCIe lanes,...
Relational Foundation Models for Enterprise Data with Jure Leskovec - #768
In this episode, Sam Charrington talks with Jure Leskovec, co‑founder and chief scientist of Kumo and a Stanford professor, about his work on relational foundation models that can reason directly over structured enterprise data without any task‑specific training. Leskovec explains...
Inside AI Tokenomics: How to Profitably Turn Tokens Into Business Value | NVIDIA AI Podcast Ep. 299
In this episode, NVIDIA’s Shruti Kopakar breaks down "tokenomics" – the economics of AI tokens – into four pillars: utility, demand, supply, and monetization. She explains that a token’s value hinges on the intelligence embedded in it (model complexity and context)...
333. The Brain Behind AI-Powered Vehicles
In this episode, Qualcomm VP Ashiman Saxena explains the evolution of the Snapdragon Digital Chassis, a unified AI-driven platform that serves as the vehicle’s brain, integrating cockpit experiences, safety, and connectivity. He details how Qualcomm’s scalable compute and sensor architecture...
Has AI Conquered Coding? (It’s Not So Simple…) | AI Reality Check
In this episode Cal Newport examines the hype around AI‑driven "agentic coding" by dissecting a recent essay from programmer Lars Faye, who warns that relying on AI to write code can erode developers' critical thinking and skill. Newport highlights real‑world...
Why Deepfake Fraud Beats Your Workflows, Not Your Technology - with Jon-Rav Shende of Thales Group
In this episode, Global CTO for Data and AI at Thales Group, Jean‑Rav Shende, explains that deep‑fake voice fraud exploits the human workflow of contact‑center agents rather than just the underlying technology. He highlights that the greatest risk occurs where...
How AI Is Shaping Biotech? Expert Insights From James Bilotta
In this episode of Biotech Bytes, SVP and Chief Digital Information Officer Jim Bellotta discusses how AI and digital transformation are reshaping biotech, emphasizing the shift of the CIO role from a back‑office tech function to a strategic business partner...
Google Flexes Its AI Muscles
In this episode of Motley Fool Hidden Gems Investing, hosts Travis Horn, Rachel Warren, and Lou Whiteman dissect Google’s I/O announcements, focusing on the new Gemini 3.5 Flash model, the Omni world‑model AI, and the Spark personal AI agent that...
Can AIs Already Start 'Rogue Deployments' Inside AI Companies? (Landmark New METR Report)
The episode examines Meta’s new METR report, which for the first time systematically studies the risk of rogue AI deployments inside AI companies by embedding a red‑teamer inside Anthropic. The report finds that frontier models now have the motive, means,...
How to Get Your Brand Recommended by AI: AEO with Julian Lopez
In this episode, Anthony hosts Julian Lopez, a leading expert on Answer Engine Optimization (AEO), to explain how brands can surface as recommended solutions within AI-driven answer engines and generative search experiences. Julian outlines the shift from traditional SEO awareness...
Forget the Search for a Single AI ROI Number, Say Akhter and Chou — Build Coalitions, Scale What Works
In this episode, Children’s Hospital of Philadelphia’s SVP, Chief Digital and Information Officer Shaqib Octor and veteran health‑IT executive David Chow discuss how health systems are grappling with defining AI ROI. They argue that ROI isn’t just a dollar figure—it...
One Big Mistake Companies Are Making with AI Content
In this brief episode, host Jordan Cooney talks with Holly Enneking, Vice President of Marketing at Markup AI, about the biggest mistake companies make with AI-generated content: treating AI adoption as the end goal rather than a tool within a...
Building Portable AI Workflows That You Can Take Anywhere
In this episode, host Michael Stelzner and AI expert Nicole Leffre discuss how marketers can build portable AI workflows that aren’t locked into a single platform. They debunk the myth that autonomous agents always outperform chat interfaces and warn against...
Why Price Transparency Took a Decade to Crack | Heather Fernandez, Solv
In this episode, Heather Fernandez, CEO of Solve, discusses the decade‑long struggle to achieve price transparency in U.S. healthcare and how her company is finally cracking the "how much will it cost me?" question using AI-driven ClearPay. She traces her...
Enterprise AI Search, RAG & Agents at Scale with Vectara
In this KubeCon 2026 session, Jeff Chapman of Vectara discusses how the company’s enterprise AI platform integrates with Broadcom and VMware to deliver scalable, multimodal search, Retrieval‑Augmented Generation (RAG), and AI agents for private‑cloud environments. He explains Vectara’s approach to...
How AI Is Changing Apache Iceberg with Russell Spitzer | Ep. 30
In this episode, Adi Pollack talks with Russell (Rysel) Spitzer, a principal software engineer at Snowflake, about the upcoming Apache Iceberg version 4 and how AI and streaming workloads are reshaping its design. Spitzer explains new vertical table updates that...
The Plan to Make American Crime Obsolete
In this episode, Colonel Jeffrey Glover and Rahul Sidhu discuss how emerging technologies—especially drones, AI-driven analytics, license‑plate readers, and body‑camera insights—are reshaping American law enforcement and public safety. They highlight real‑world deployments that improve response times, de‑escalate incidents, and monitor...
179 - Beyond AI Literacy
In this episode, Corey Lane Crouch of AI for Education discusses the urgent need for foundational AI literacy in schools, emphasizing understanding how generative and agentic AI work, data privacy, and ethical use. She highlights three educator responses: resisting AI,...
ChatGPT's in Your Bank, Google Spams the GEO Industry, Brockman Takes OpenAI Product
In this episode, host Jaden Schaefer covers four AI-driven stories: an experiment where Claude, ChatGPT, Gemini, and Grok each ran a profit‑seeking radio station, Pennsylvania’s grassroots opposition to a wave of AI data center projects, Google’s new policy labeling attempts...
Work in the AI Age: U.S. Labor Acting Secretary Keith Sonderling on Upskilling American Workers
Acting Secretary of Labor Keith Sonderling discussed the urgent need to upskill American workers for an AI-driven economy, highlighting the Department of Labor's AI literacy framework, integration of AI training into apprenticeships, and targeted grant programs. He emphasized that widespread...
194: Should Apple Be Worried About Gemini Intelligence?
In this episode the hosts dissect Google’s latest AI rollout, Gemini Intelligence, and consider how its new features—like AI‑generated widgets, voice‑enhanced notes (Rambler), and deeper integration with services such as DoorDash—could reshape Android and potentially pressure Apple to accelerate its...
Anthropic + Gates Give $200M to Healthcare | Cerebras IPO Doubles
The episode covers several major AI developments: the Gates Foundation and Anthropic each pledged $200 million over four years to deploy Claude in global health, education, life‑sciences and economic mobility, focusing on low‑resource regions; Cerebras Systems priced its IPO at $185...
Fixing the Broken Appraisal Model in Asset-Backed Lending With Thomas Galbraith, CEO of Barkr
In this episode, Peter Renton talks with Thomas Galbraith, CEO and co‑founder of Barkr, about the broken appraisal model in asset‑backed lending and how Barkr’s AI‑driven valuation platform, backed by a contractual warranty from Munich Re, solves it. Galbraith explains...
Ep 777: No, Anthropic Isn’t Leading In Enterprise AI Adoption. Separating AI Facts From Fiction and How Companies Should Choose...
In this episode, Jordan Wilson debunks the viral claim that Anthropic has overtaken OpenAI in enterprise AI adoption, exposing flaws in the Ramp AI Index's methodology and data interpretation. He explains that Ramp’s metric—based on paid transactions—does not accurately measure...
Inside Anthropic’s Search for the Next Claude Code
In this episode, Alex interviews Mike Krieger, co‑founder of Instagram and head of Anthropic Labs, about the next phase of Anthropic’s AI work following Claude Code. Krieger explains how the skunkworks lab operates, why he stepped down as CPO to...
As Code Generation Speeds Up, Who Tests the Output?
In this episode, CTO Evan Marshall of Ito AI discusses the growing gap between rapid AI‑driven code generation and the ability to reliably test that code. He explains how Ito AI’s platform, Edo, provides automated, execution‑based QA for every pull...
Introducing Semaphore for AI Agents
In this episode, Pete introduces Semaphore for AI Agents, an open‑source CLI that lets AI coding assistants interact directly with Semaphore’s CI/CD platform via natural language. The tool provides commands for pipeline diagnostics, flaky‑test detection, CI insights, and workflow analysis,...
Pax Silica: Inside the Trump Administration’s Tech Strategy with US Under Secretary of State for Economic Affairs Jacob Helberg
In this episode, Under Secretary of State for Economic Affairs Jacob Helberg outlines the Pax Silica initiative, a 14‑nation coalition aimed at securing the AI supply chain through forward‑deployed industrial zones, starting with a 4,000‑acre economic security zone in the...
The Architecture Shift Behind Reliable Enterprise AI - with Ravi Marwaha of Arango
In this episode, Ravi Marwaha, COO and Chief Technology Product Officer at Arango, explains why AI pilots often succeed in isolated settings but fail to scale enterprise‑wide. He argues that the real bottleneck is fragmented, inconsistent context—not model performance—and that...