Podcast Index
Parcourez les podcasts par catégorie, ouvrez les épisodes récents et téléchargez l’audio pour l’écouter hors ligne.
科技浪 Tech.wav
哈利
Artificial Intelligence Masterclass
AI Masterclass
AI Fire Daily
AIFire.co
Resilient Supply Chain— stories and strategies that keep business moving
Tom Raftery
Retail Daily Minute
Omni Talk Retail
Websites Made Simple: How to have a successful website design business
Holly Christie (Website Design Business Mentor)
Dad Reviews with @LaneVids
LaneVids
Inspire AI: Transforming RVA Through Technology and Automation
AI Ready RVA
AI for Beginners (300 episodes)
A.I. For Beginners
RumSnak
Tina Ibsen + Anders Høeg Nissen
Black Box - La scatola nera della finanza
Guido Brera e Gian Luca Comandini - Chora Media
This Week in AI Regulations
Carver Agents
Adventure Games Podcast
Adventure Game Podcast
Fintech Chatter: Conversations with Fintech CEOs and Founders
Dexter Cousins | Founder, Tier One People
Hacker Newsroom
pod pub
CyberCode Academy
CyberCode Academy
The Uptime Wind Energy Podcast
Allen Hall, Rosemary Barnes, Yolanda Padron & Matthew Stead
Caffe 2.0
Valentino Spataro
Sospechosos habituales
Sospechosos Habituales
Aviation Week's MRO Podcast
Aviation Week Network
Merge Conflict
soundbite.fm
Higher Ed Pulse
Mallory Willsea
Ruff Talk VR
Ruff Talk VR
Wendover Productions
Wendover Productions
Theo - t3․gg
Theo - t3․gg
AI News in 5 Minutes
AI Decoded
Elon Musk Podcast
Stage Zero
Unfixed: How AI Is Reshaping the University
Zach Justus and Nik Janos
Mac Geek Gab — Apple Tips, Tricks, and Troubleshooting
Dave Hamilton, Pilot Pete & Adam Christianson
Asynchronous & Unreliable - Conversations on The Edge of Software
Anne Currie
Besser Wissen
Golem.de
蘭萱時間
蘭萱｜中廣流行網
Superkraft KI News | by Jörg Schieb
Jörg Schieb
Stephan Livera Podcast
Stephan Livera
Avto FM 107.7
Avto FM 107.7
La settimana informatica a cura di @quinta (Stefano Quintarelli) con Lanfranco Palazzolo (Radio Radi
Stefano Quintarelli
Technologie
AI Ready RVA
Send us Fan MailAI is quietly rewriting the org chart, and it’s not because everyone suddenly works faster. The real shift is structural: teams are becoming blended systems of humans, AI agents, orchestration layers, eva...
Send us Fan MailAI can generate code, analysis, and recommendations faster than any team in history, but there’s a catch: verification doesn’t scale the same way. When intelligence becomes abundant, judgment becomes scar...
Send us Fan MailAI can write code faster than any team on earth, so why does it still feel like shipping software is hard? The uncomfortable answer is that speed is not the same as progress, and generation is not the sam...
Send us Fan MailThe scariest part of AI in software is not that it writes code. It is that it changes what “being an engineer” even means. When generative AI can scaffold applications, spin up infrastructure configs, dra...
Send us Fan MailAI agents are showing up everywhere, but most enterprises are discovering a frustrating truth: getting an agent to “work” in a demo is easy, getting it to deliver measurable value in production is brutall...
Send us Fan MailAI is everywhere right now: copilots, automated workflows, faster analytics, better dashboards. And yet a lot of leaders still feel the same uneasy question underneath the hype: if AI is so powerful, why ...
Send us Fan MailThe biggest problem with modern technology is not that it moves fast, it’s that it makes us feel like we’re failing to keep up. We keep adding AI copilots, new platforms, new dashboards, and new workflows...
Send us Fan Mail“We’ll learn AI once we understand it” sounds responsible, but it’s one of the fastest ways to fall behind. We sit down with Matt to argue for a different approach: learn AI by building with it, in small ...
Send us Fan MailMost teams are still using AI like a vending machine: type a prompt, hope for the right answer, then waste time nudging it closer. We take a different route and unpack the Ralph Loop, a deceptively simple...
Send us Fan MailAI can write code on demand now, but that doesn’t mean we’re building better software. When we treat AI like a chat window with a long memory, projects drift: requirements change midstream, agents halluci...
Send us Fan MailMulti-agent AI feels like a breakthrough right up until you realize the real problem isn’t intelligence anymore, it’s coordination. When planning agents, retrieval agents, tool-using agents, and verificat...
Send us Fan MailAn AI agent that confidently says “done” can still be the most expensive kind of wrong. We start with a simple test of reality: when an agent updates a policy document, who was notified, what changed, wha...
Send us Fan MailThe AI race is quietly changing shape, and if you’re still tracking it like a scoreboard of model releases, you’re going to miss the real winners. We step back from the noise and make the case that the de...
Send us Fan MailAI is moving so fast that “keeping up” can start to feel like a losing game and that speed is exactly what’s reshaping the future of work. We sit down with Vivek, an IT services leader building an enterpr...
Send us Fan MailThe career fear around AI is real, but Caleb Snow flips the frame: the bigger threat is standing still while everything else accelerates. Caleb has spent decades moving through waves of technology from ea...
Send us Fan MailAI is starting to feel less like a feature you bolt onto a product and more like a system you have to run. That shift is easy to miss until you try to build something real: a workflow that calls APIs, kee...
Send us Fan MailWhat if the real shift in the future of work isn’t learning to code, but learning to supervise? We dig into a new operating model where product and engineering leaders step into the execution loop by dire...
Send us Fan MailWhat happens when coding stops being about keystrokes and starts being about intent? We sit down with Godwin Josh—mentor, builder, and author of The New Mind—to unpack how agentic AI is transforming the p...
Send us Fan MailWhat happens when a brilliant-sounding AI gives the wrong answer with total confidence? We dig into the quiet culprit behind so many “LLM failures”: retrieval. Rather than judging how smart a model sounds...
Send us Fan MailWhen intelligence is everywhere but correctness is scarce, how do we lead without cutting corners? We sit down with Tianzhen (Tangent) Lin—veteran engineer and systems thinker—to unpack a practical, durab...
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