Podcasts about invent

Visa has just published its annual “Retail Spend Monitor” report on holiday shopping data. To share the positive news, we're joined by Visa's Principal U.S. Economist, Michael BrownContinuing the legacy of the late, great Jane Goodall, I sit down with the Jane Goodall Institute's Chief Scientist, Dr Lilian Pintea, on all the ways technology is sed in Jane's 6 decades of work – and going forward. This interview was recorded at AWS re:Invent in Las Vegas.Are you always running out of storage on your iPhone or Android? You're not alone. Christina Garza, Director of Consumer Product Marketing at SANDISK, talks about its affordable new Phone Drive USB-CThank you to Visa, Norton, and SANDISK for your incredible support. Get a huge discount on Norton anti-malware at norton.com/techitout

En 1843, el fundador del Museo Victoria y Alberto de Londres tenía unas mil cartas por responder. La solución que ideó para hacerlo terminó generando una industria multimillonaria.

Welcome to the Jon Myer Podcast, powered by Myer Media! Fresh off the keynote stage at AWS re:Invent 2025, we sit down with David from Metal Toad, an AWS partner helping organizations navigate digital transformation and cloud-native deployment.We unpack the biggest announcements from today's keynote, why they matter, and how these innovations translate into real-world opportunities for enterprises accelerating their cloud journey.Key Announcements Discussed:✅ Nova2 model family with stronger model differentiation✅ Frontier models: Long-running AI that learns your team's coding style✅ NovaForge: Earlier access to models in the training process✅ S3 vector storage: Up to 90% cost savings vs. OpenSearch for RAG databases✅ Nova2 Omni: Multimodal inputs for unstructured data (audio, video)✅ Agentic AI: Building compartmentalized "brains" for better controlDavid's Insights:

Welcome to the Jon Myer Podcast, powered by Myer Media! Fresh off the keynote stage at AWS re:Invent 2025, we sit down with David from Metal Toad, an AWS partner helping organizations navigate digital transformation and cloud-native deployment.We unpack the biggest announcements from today's keynote, why they matter, and how these innovations translate into real-world opportunities for enterprises accelerating their cloud journey.Key Announcements Discussed:✅ Nova2 model family with stronger model differentiation✅ Frontier models: Long-running AI that learns your team's coding style✅ NovaForge: Earlier access to models in the training process✅ S3 vector storage: Up to 90% cost savings vs. OpenSearch for RAG databases✅ Nova2 Omni: Multimodal inputs for unstructured data (audio, video)✅ Agentic AI: Building compartmentalized "brains" for better controlDavid's Insights:

What does it really mean to keep humans at the center of AI when agentic systems are accelerating faster than most organizations can govern them? At AWS re:Invent, I sat down with Michael Bachman from Boomi for a wide-ranging conversation that cut through the hype and focused on the harder questions many leaders are quietly asking. Michael leads technical and market research at Boomi, spending his time looking five to ten years ahead and translating future signals into decisions companies need to make today. That long view shaped a thoughtful discussion on human-centric AI, trust versus autonomy, and why governance can no longer be treated as an afterthought. As businesses rush toward agentic AI, swarms of autonomous systems, and large-scale automation, Michael shared why this moment makes him both optimistic and cautious. He explained why security, legal, and governance teams must be involved early, not retrofitted later, and why observability and sovereignty will become non-negotiable as agents move from experimentation into production. With tens of thousands of agents already deployed through Boomi, the stakes are rising quickly, and organizations that ignore guardrails today may struggle to regain control tomorrow. We also explored one of the biggest paradoxes of the AI era. The more capable these systems become, the more important human judgment and critical thinking are. Michael unpacked what it means to stay in the loop or on the loop, how trust in agentic systems should scale gradually, and why replacing human workers outright is often a short-term mindset that creates long-term risk. Instead, he argued that the real opportunity lies in amplifying human capability, enabling smaller teams to achieve outcomes that were previously out of reach. Looking further ahead, the conversation turned to the limits of large language models, the likelihood of an AI research reset, and why future breakthroughs may come from hybrid approaches that combine probabilistic models, symbolic reasoning, and new hardware architectures. Michael also reflected on how AI is changing how we search, learn, and think, and why fact-checking, creativity, and cognitive discipline matter more than ever as AI assistants become embedded in daily life. This episode offers a grounded, future-facing perspective on where AI is heading, why integration platforms are becoming connective tissue for modern systems, and how leaders can approach the next few years with both ambition and responsibility.  Useful Links Learn More About Boomi Connect with Michael Bachman Algorithms to Live By: The Computer Science of Human Decisions Tech Talks Daily is sponsored by Denodo

What does responsible AI really look like when it moves beyond policy papers and starts shaping who gets to build, create, and lead in the next phase of the digital economy? In this conversation recorded during AWS re:Invent, I'm joined by Diya Wynn, Principal for Responsible AI and Global AI Public Policy at Amazon Web Services. With more than 25 years of experience spanning the internet, e-commerce, mobile, cloud, and artificial intelligence, Diya brings a grounded and deeply human perspective to a topic that is often reduced to technical debates or regulatory headlines. Our discussion centers on trust as the real foundation for AI adoption. Diya explains why responsible AI is not about slowing innovation, but about making sure innovation reaches more people in meaningful ways. We talk about how standards and legislation can shape better outcomes when they are informed by real-world capabilities, and why education and skills development will matter just as much as model performance in the years ahead. We also explore how generative AI is changing access for underrepresented founders and creators. Drawing on examples from AWS programs, including work with accelerators, community organizations, and educational partners, Diya shares how tools like Amazon Bedrock and Amazon Q are lowering technical barriers so ideas can move faster from concept to execution. The conversation touches on why access without trust falls short, and why transparency, fairness, and diverse perspectives have to be part of how AI systems are designed and deployed. There's an honest look at the tension many leaders feel right now. AI promises efficiency and scale, but it also raises valid concerns around bias, accountability, and long-term impact. Diya doesn't shy away from those concerns. Instead, she explains how responsible AI practices inside AWS aim to address them through testing, documentation, and people-centered design, while still giving organizations the confidence to move forward. This episode is as much about the future of work and opportunity as it is about technology. It asks who gets to participate, who gets to benefit, and how today's decisions will shape tomorrow's innovation economy. As generative AI becomes part of everyday business life, how do we make sure responsibility, access, and trust grow alongside it, and what role do we each play in shaping that future? Useful Links Connect With Diya Wynn AWS Responsible AI Tech Talks Daily is sponsored by Denodo

Michael G. Colburn has spent decades studying and writing about the creative process. An inventor, entrepreneur, and former president of the Food Service Consultants Society International, he's authored over twenty patents and multiple books, including the bestselling His books include the bestselling Invent, Innovate & Prosper, and How Julia Found Happiness and Financial SuccessNow devoted to fiction, Michael joins us to talk creativity, invention, and his novels, Stolen Brilliance & Asylum Murders: A Lady Black Mystery. We also explore how travel, long-distance walking, and curiosity fuel his writing journey.✨ This is an episode you won't want to miss!

Straight from re:Invent 2025, technology leaders from C3 AI, nCino, New Relic and Vercel reveal learnings, best practices and predictions for the future of Agentic AI.Topics Include:Four technology executives introduce their companies' AI innovations in fintech, cloud, enterprise software, and observability.Vercel built agents for code reviews, infrastructure optimization, and across finance, sales, and support functions.C3.ai deploys enterprise AI applications from scratch to production in six months for Fortune 500s.New Relic provides observability for AI systems and built agents that resolve infrastructure issues in real-time.Vercel's agents improve code quality by incorporating security and framework best practices into AI-generated output.C3.ai partnered with Department of Defense to autonomously produce mission-critical intelligence assessment reports from data.Industry shifted from copilots everywhere to agents that actually own outcomes and land the plane.New Relic moved beyond natural language translation to agents that execute actions and resolve issues autonomously.Panel debates whether Model Context Protocol or broader ecosystem approaches better enable agent interoperability and communication.Autonomy requires accountability: agent decisions must be explainable with traceable steps and replay capabilities built-in.Governance and security should be prerequisites for acceleration, not impediments—a critical mental model shift needed.Many enterprises struggle with process bottlenecks preventing them from harnessing high-quality agents despite having technology.Financial services must carefully balance where human discretion remains essential versus where agent autonomy justified.Will Jung envisions deeply continuous context enabling banks to deliver truly personalized insights without appearing creepy.Suraj Krishnan predicts agents will own outcomes by 2026, coordinating tools and other agents to achieve goals.Participants:Panelist: Merel Witteveen, SVP of Operations, C3.aiPanelist: Will Jung, Chief Technology Officer, nCinoPanelist: Suraj Krishnan, GVP of Engineering, New RelicPanelist: Aparna Sinha, Senior Vice President, Product, VercelModerator: Olawale Oladehin, Managing Director, NAMER Technology Segments (Enterprise, ISV, DNB, and Model Providers), Amazon Web ServicesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

En 1928, el inventor Lester J. Hendershot afirmó haber creado un generador de energía libre en un pequeño taller rodeado de bobinas, imanes y cables de cobre. Su dispositivo, conocido como el generador Hendershot, era una máquina capaz de extraer energía directamente del campo magnético terrestre, rivalizando con las invenciones del mismísimo Nikola Tesla. Los periódicos lo calificaron de "generador sin combustible", un dispositivo que podría cambiar el mundo para siempre. Por un breve instante, pareció que la humanidad había encontrado la clave para obtener energía infinita y gratuita. Hosted on Acast. See acast.com/privacy for more information.

Maps have always had problems. Five hundred years ago, maps were wildly inaccurate simply because cartographers were drawing the edge of the known world, limited by slow ships and nonexistent satellite data, resulting in continents that were too large, too small, or entirely misplaced. All of those problems have been solved thanks to new technology, but now there are new ones. Even though we know the exact dimensions of Earth, our maps are still "wrong" because we force a three-dimensional globe onto a flat surface, leading to mathematical distortions like the Mercator projection, which wildly exaggerates the size of landmasses near the poles. One map that tries to correct the Mercator projection's distortion of landmass sizes is the Gall-Peters projection, but to achieve this size accuracy, it severely stretches and distorts shapes, particularly near the poles, making Alaska look like a whirlpool or expanding pinwheel. To make it even more confusing, there are maps that were deliberately tweaked to hide government secrets or those drawn with junk data just to trick an enemy into giving up territory. But for today’s guests, Jay Foreman and Mark Cooper-Jones, they enjoy these sort of cartographic oddities. They are the authors of “This Way Up: When Maps Go Wrong and Why it Matters.” We discuss all sorts of maps that went wrong—from the infamous Mountains of Kong—a completely made-up mountain range that ran East-West across the entire African continent--to colonial maps with mathematically impossible borders and US states with fake cities. We also discuss The frequent omissions of New Zealand on maps that use the Mercator projection Maps that will land you in prison depending on which countries claim certain territories Cold War-era Soviet paranoia that falsified virtually all maps for decades on the direct orders of secret police See omnystudio.com/listener for privacy information.

Nolan and Malini join Shaown Nandi, AWS Director of AGS Technology and Subhash Vanga, Director of Solutions Architecture. They recap re:Invent 2025 announcements and discuss how AI and new technology is continuing to drive individual and organizational change for everyone. Top re:Invent 2025 Announcementshttps://aws.amazon.com/blogs/aws/top-announcements-of-aws-reinvent-2025/AWS Hosts: Nolan Chen & Malini ChatterjeeEmail Your Feedback: rethinkpodcast@amazon.com

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Interview with Dorothy Creaven and Michael Cordner at AWS re:Invent Dublin-based startup Jentic was the first Irish company to complete the AWS Generative AI Accelerator, which concluded recently at AWS re:Invent in Las Vegas. The company is now focused on building enterprise awareness of its platform, supported by the launch of its AI Readiness Scorecard and its listing on AWS Marketplace. Founded in 2024 by Sean Blanchfield, Michael Cordner, and Dorothy Creaven, Jentic applies middleware and enterprise integration engineering to AI adoption, focusing on how APIs are defined, governed and safely executed by automated and agentic systems. AI adoption with API readiness platform Jentic Jentic operates at the integration layer, working with existing enterprise systems and APIs to make them clearer, more structured and more governable. This allows organisations to connect AI systems to real business infrastructure in a controlled and observable way, without replacing existing platforms or bypassing established security and compliance processes. Built on Enterprise Infrastructure Experience The company's approach is shaped by the founders' backgrounds in building large-scale infrastructure. Blanchfield previously co-founded Demonware, acquired by Activision Blizzard, and PageFair. Cordner co-founded Mindconnex, while Creaven previously led Rent the Runway's Irish operations. Speaking to Irish Tech News at AWS re:Invent, Michael Cordner, CTO of Jentic, said many enterprises are now encountering limits in how their systems were originally built. "We got away with cutting corners for 20 years when we were developing APIs for developers," said Cordner . "But now we're trying to let AI loose on those same APIs, and the standards are much more stringent. Even the most intelligent AI in the world is useless without the right information on how to actually use a system." From Jentic's perspective, the current interest in AI exposes long-standing weaknesses in enterprise integration. Automated systems can reason and decide, but they can only act through APIs. If those interfaces are poorly documented, inconsistently structured or weakly governed, behaviour becomes unpredictable. "We're a business logic and infrastructure layer for AI agents," explains Dorothy Creaven, COO of Jentic. "Software has always been built on APIs, but for AI to connect properly to enterprise systems, there has to be something that can make sense of those APIs and turn them into workflows organisations can rely on." Addressing Enterprise Control and Governance A recurring issue Jentic encounters with enterprise customers is organisational hesitation. Senior leadership often wants progress on AI strategy, while technology and security teams are concerned about control, traceability and risk. "Everyone is afraid to let AI loose in their organisation," Creaven observes. "There's a real concern about what systems might do when nobody is watching, whether actions can be traced, and how failures are handled." To address this, Jentic's platform includes a sandboxed execution environment that mirrors production APIs. This allows organisations to test AI-driven workflows, observe behaviour and understand failure modes before anything is connected to live systems. "We provide an environment that mirrors real APIs, but in a way that's safe," Creaven comments. "You can see exactly what's happening, with auditability and logging, and you can only move forward once you're confident the behaviour is correct." Launch of the AI Readiness Scorecard This approach underpins the launch of Jentic's AI Readiness Scorecard, a free, automated assessment tool introduced at AWS re:Invent. The scorecard evaluates APIs across multiple dimensions, including structure, security, documentation quality and discoverability. According to Jentic, its analysis of more than 1,500 well-known APIs highlights repeated gaps. These include missing authentication details, invalid OpenAPI specifications, i...

Send us a textA bus-powered hackathon, a $100K prize for a gloriously “useless” app, and keynotes that said AI so many times you could turn it into a supercut—re:Invent 2025 brought energy, irony, and real signals hiding in the noise. We're joined by AWS Hero Chris Williams to unpack what actually matters: where AI is genuinely useful, where it's lipstick on a feature, and how builders should adapt without losing the plot.We dig into the Road to re:Invent hackathon and why the winning project—turning a tiny script into a sprawling multi-repo monster—was the sharpest commentary on over-engineering all week. From there, we break down the AI-first keynotes, new Graviton efficiency gains that could tame power budgets, and the push to own the entire stack from silicon to agents. Kiro's spec-driven development gets real talk too: amazing for scaffolding, documentation, and repo exploration; risky when you ask a confident hallucination to write production without tests, reviews, or security controls.The conversation shifts to careers and craft with Werner Vogels' parting challenge: become a “Renaissance developer.” Learn systems, networking, security, and economics, then layer AI to explore design space faster. If you're just starting out, don't begin with prompts—build fundamentals and use AI to shape your learning plan. We wrap with the sleeper headline: first-party multi-cloud connectivity. It's overdue, it's serious, and it could reshape how enterprises stitch providers together while raising new questions about SLAs, accountability, and incident response between hyperscalers.Hit play for a clear-eyed debrief that filters the hype, celebrates real progress, and offers practical guidance for teams shipping in 2025. If this helped you make sense of re:Invent, follow the show, share it with a teammate, and drop your bold prediction for the year ahead.Where to find Chris:https://x.com/mistwirehttps://www.linkedin.com/in/chrisfwilliams/https://vbrownbag.com/Purchase Chris and Tim's book on AWS Cloud Networking: https://www.amazon.com/Certified-Advanced-Networking-Certification-certification/dp/1835080839/ Check out the Monthly Cloud Networking Newshttps://docs.google.com/document/d/1fkBWCGwXDUX9OfZ9_MvSVup8tJJzJeqrauaE6VPT2b0/Visit our website and subscribe: https://www.cables2clouds.com/Follow us on BlueSky: https://bsky.app/profile/cables2clouds.comFollow us on YouTube: https://www.youtube.com/@cables2clouds/Follow us on TikTok: https://www.tiktok.com/@cables2cloudsMerch Store: https://store.cables2clouds.com/Join the Discord Study group: https://artofneteng.com/iaatj

Enterprises are racing to deploy AI services, but the teams responsible for running them in production are seeing familiar problems reemerge—most notably, silos between data scientists and operations teams, reminiscent of the old DevOps divide. In a discussion recorded at AWS re:Invent 2025, IBM's Thanos Matzanas and Martin Fuentes argue that the challenge isn't new technology but repeating organizational patterns. As data teams move from internal projects to revenue-critical, customer-facing applications, they face new pressures around reliability, observability, and accountability.The speakers stress that many existing observability and governance practices still apply. Standard metrics, KPIs, SLOs, access controls, and audit logs remain essential foundations, even as AI introduces non-determinism and a heavier reliance on human feedback to assess quality. Tools like OpenTelemetry provide common ground, but culture matters more than tooling.Both emphasize starting with business value and breaking down silos early by involving data teams in production discussions. Rather than replacing observability professionals, AI should augment human expertise, especially in critical systems where trust, safety, and compliance are paramount.Learn more from The New Stack about enabling AI with silos: Are Your AI Co-Pilots Trapping Data in Isolated Silos?Break the AI Gridlock at the Intersection of Velocity and TrustTaming AI Observability: Control Is the Key to SuccessJoin our community of newsletter subscribers to stay on top of the news and at the top of your game.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

The energy at AWS re:Invent 2025 in Las Vegas was undeniable. The narrative has shifted decisively from the passive "Industrial Copilots" of last year to active, autonomous Agentic AI. Everywhere you looked, the talk was of autonomous swarms, "Supervisor Agents," and the new Strands Agents SDK empowering developers to build digital workers that can reason and act.However, as I (Colin Masson of ARC Advisory Group) noted in my recent Top 10 Takeaways for Industrial AI from AWS re:Invent 2025, there is a stark divergence between the "hyperscaler dream" and the "brownfield reality." For manufacturers dealing with 20-year-old assets, proprietary protocols, and disparate silos, building these agents often hits a brick wall—the "Factory Wall." An AI agent is only as intelligent as the context it is fed, and in most factories, that context is trapped in the machine layer.To explore how the industry is breaking through this barrier, I sat down at re:Invent with Joe Rosing, Worldwide Head of Smart Manufacturing at AWS, and Torey Penrod-Cambra, Co-Founder and Chief Communications Officer at HighByte. We discussed the critical role of Industrial DataOps in untangling the mess of industrial data to fuel the next generation of AI.Would you like to be a guest on our growing podcast?Do you have an intriguing or thought provoking topic you'd like to discuss on our podcast? Please contact Our Producer Tom Cabot at: Tcabot@Arcweb.comView all the episodes here: https://thedigitaltransformationpodcast.buzzsprout.com

Michael Kosir and Rosemary Wang (developer advocates at HashiCorp, an IBM Company) recap AWS re:Invent and discuss Terraform 1.14, including the query CLI command. Podcast Notes: - https://www.hashicorp.com/en/blog/re-invent-2025-how-hashicorp-and-aws-are-simplifying-cloud-operations - https://www.hashicorp.com/en/blog/day-2-infrastructure-management-with-terraform-actions - https://github.com/hashicorp/terraform/releases/tag/v1.14.0 - https://developer.hashicorp.com/terraform/language/v1.14.x/import/bulk

Nouveauté : Brieuc lance une lettre hebdomadaire : Adaptable(s). Abonnez-vous pour recevoir des outils, principes et retours d'expériences pour permettre aux dirigeantes et dirigeants d'entreprises d'anticiper les risques, notamment physiques, du 21ème siècle.Bienvenue sur la Radio Circulab (ex Activer l'Economie Circulaire) Cette semaine, Brieuc rencontre Jérôme Botte, fondateur de Modixia, qui transforme les ordinateurs portables professionnels non reconditionnables en unités centrales fixes, leur donnant une nouvelle vie. L'aventure a démarré durant le confinement en prototypant à partir de pièces récupérées. Modixia a bâti un modèle autour du réemploi de cartes mères et de la modularité. L'entreprise nantaise standardise les composants collectés pour qu'ils s'intègrent dans un boîtier garanti à vie, luttant ainsi contre l'obsolescence et la surproduction de déchets électroniques.Modixia propose notamment aux collectivités et aux entreprises un service de mise à niveau qui permet d'interchanger des composants au lieu de changer tout le matériel, réduisant l'impact carbone de 80 % et les coûts financiers sur le long terme. Comment créer une entreprise vertueuse à partir d'une idée ?Quel est le modèle économique de Modixia ?Quels sont les perspectives de développement, les défis et les prochains objectifs de l'équipe ?Ce projet est un exemple concret de boucle circulaire ultra-locale et de souveraineté dans le secteur de l'informatique.Pour aller plus loin : Baladez-vous sur notre site internet (tout neuf) ; Téléchargez nos outils sur la Circulab Academy ; Inscrivez-vous à notre newsletter ; Envoyez-nous vos retours ou suggestions sur Linkedin : Justine Laurent et Brieuc Saffré. Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

Beat Migs! They claimed they did during an interview at Unwrapped, but we'll let you be the judge.

The 2017 film The Man Who Invented Christmas, starring human treasure Dan Stevens as Charles Dickens, is a lovely bit of an anachronistic historical revisionism (though, to be fair, it gets a number of things right both in fact and in, pardon the pun, spirit). But it also perpetuates an increasingly popular myth - that Charles Dickens...well...invented Christmas. At least, that is, Christmas as we think of it today. There are a lot of reasons why this seems true, and, yes, Dicken's A Christmas Carol played an enormous role in a Victorian revival and redefining of Christmas - but that revival was happening with him or without him. So we decided to take a closer look at Victorian society in the 1940s and exam how religious - or not - Dickens and A Christmas Carol actually were. Kelly and John invited Victorianist ⁠Kristen Hanley Cardozo⁠ to share some of her expertise and talk about spirits, Scrooges, and the real reasons for the season.

Rob Whiteley, CEO of Coder, argues that the biggest winners in today's AI boom resemble the “picks and shovels” sellers of the California Gold Rush: companies that provide tools enabling others to build with AI. Speaking onThe New Stack Makersat AWS re:Invent, Whiteley described the current AI moment as the fastest-moving shift he's seen in 25 years of tech. Developers are rapidly adopting AI tools, while platform teams face pressure to approve them, as saying “no” is no longer viable. Whiteley warns of a widening gap between organizations that extract real value from AI and those that don't, driven by skills shortages and insufficient investment in training. He sees parallels with the cloud-native transition and predicts the rise of “AI-native” companies. As agentic AI grows, developers increasingly act as managers overseeing many parallel AI agents, creating new challenges around governance, security, and state management. To address this, Coder introduced Mux, an open source coding agent multiplexer designed to help developers manage and evaluate large volumes of AI-generated code efficiently.Learn more from The New Stack about AI Parallelization The Production Generative AI Stack: Architecture and ComponentsEnable ParallelFrontend/Backend Development to Unlock VelocityJoin our community of newsletter subscribers to stay on top of the news and at the top of your game.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Why has Acquired — seemingly against all odds — “worked”? It's a puzzling question: episodes are four hours long, they come out infrequently, and they usually don't have guests or video. Hardly the standard-issue playbook for podcasting success! And yet well over a million smart, curious and exceedingly busy humans share their (your!) valuable time with us every month. Why? This is the exact paradox that has been rolling around in the head of Michael Lewis (yes, that Michael Lewis) since he found the show earlier this year.So we asked Michael to be our guest "interlocutor" and share what he thinks is going on here, while we share ten lessons we've stolen (graciously) from companies we've studied and brought into Acquired itself. He takes us through the entire Acquired journey: how we started, why we've never hired anyone or raised money, how we pick episodes, what our business model actually is, why we focus on quality and enjoyment over maximizing enterprise value, and ultimately why we're all — you, him, us — kindred spirits together. Oh, and just for fun, we recorded this episode where another special journey began — the garage where Google was founded.Thank you for an incredible decade together… here's to the next one!Thank-yous:First, to Google for loaning us the garage. The sawhorse table desk, PC and CRT monitor on display in the background were all Google originals courtesy of the Google Founders Collection at the Computer History Museum. So cool!Second, to our friends at Shep Films for helping us seriously up our game on production quality this episode!Sponsors:Many thanks to our fantastic Fall ‘25 Season partners:J.P. Morgan Payments (you can watch our full show with them at AWS re:Invent here!)WorkOSSentryShopifyOur Favorite Michael Lewis Books:Home GameMoneyballLiar's PokerThe Blind SideThe Undoing Project (as referenced by Michael in the beginning, about Daniel Kahneman and Amos Tversky)Carve Outs:Books: The Name of the Wind by Patrick RothfussScience, the Endless Frontier by Vannevar BushLast Man Standing: The Ascent of Jamie Dimon and JPMorgan Chase by Duff McDonaldThe Art of Spending Money by Morgan HouselEmperors of Chocolate by Joel Glenn BrennerMorris Chang's AutobiographyPodcasts: Against the RulesRevisionist HistorySmartLessThe DailyThe Bill Simmons PodcastGraham Duncan on Invest Like the BestGlue GuysVideo: Jay KellyThe RehearsalDoug DeMuroTiresF1 The MovieAndorFalloutSeveranceSiloVideo Games: Sea of StarsKirby and the Forgotten LandProducts: ARTEZA Rollerball Pen 0.7mm FineRotring 800 Mechanical PencilFujifilm X100VIUniqlo Socks!On Running ShoesRimowa LuggageParenting: Guided Access on iPadToy StorySlumberPodBluey Experience in NYCMore Acquired:Get email updates and vote on future episodes!Join the SlackSubscribe to ACQ2Check out the latest swag in the ACQ Merch Store!‍Note: Acquired hosts and guests may hold assets discussed in this episode. This podcast is not investment advice, and is intended for informational and entertainment purposes only. You should do your own research and make your own independent decisions when considering any financial transactions.

When was the last time you played, really played? For Cas Holman, founder and chief designer of Heroes Will Rise and star of Netflix's Abstract: The Art of Design, play isn't childish. It's the foundation of human creativity, resilience, and connection. She worked with LEGO, Disney Imagineering, and the LEGO Foundation and on a mission to help adults rediscover what children know instinctively: that play is how we learn, adapt, and feel alive. "Play isn't what happens after work," Cas explains. "It's how we manage uncertainty. It's how we cope, experiment, and find our way through the unknown." In this conversation, Cas reframes play not as a distraction from productivity but as the engine of it. She explains why play is essential for innovation, executive presence, and emotional agility, and how suppressing it has drained creativity from our professional lives. "Playful thinking lets us reframe success," she says. "It makes us flexible enough to keep moving when things don't go according to plan." We discuss: Why free play (activities that are intrinsically motivated, freely chosen, and personally directed) is the most powerful form of creative renewal. How reframing success turns frustration into discovery: "You came to play basketball, the ball's flat, the court's full, so what? Invent a new game." Why curiosity and uncertainty are not threats to be managed, but conditions for growth. How "breaking" systems or routines can reveal how they actually work. And how adults can learn to release judgment, the internal critic that says "I should know the answer" instead of "let's find out." Cas's insights are strikingly relevant to the age of AI. As technology automates more of what we do, she reminds us that what matters most is how we create, not how efficiently we delegate creation. "We're outsourcing the wrong things," she says. "Creativity wasn't the problem that needed fixing. It's what makes us feel alive." Get Cas' book, Playful, here: https://shorturl.at/jxR4O Claim your free gift: Free gift #1 McKinsey & BCG winning resume www.FIRMSconsulting.com/resumePDF Free gift #2 Breakthrough Decisions Guide with 25 AI Prompts www.FIRMSconsulting.com/decisions Free gift #3 Five Reasons Why People Ignore Somebody www.FIRMSconsulting.com/owntheroom Free gift #4 Access episode 1 from Build a Consulting Firm, Level 1 www.FIRMSconsulting.com/build Free gift #5 The Overall Approach used in well-managed strategy studies www.FIRMSconsulting.com/OverallApproach Free gift #6 Get a copy of Nine Leaders in Action, a book we co-authored with some of our clients: www.FIRMSconsulting.com/gift

How do you move faster with AI and cloud innovation without losing control of security along the way?   Recorded live from the show floor at AWS re:Invent in Las Vegas, this episode of Tech Talks Daily features a timely conversation with Kimberly Dickson, Worldwide Go-To-Market Lead for AWS Detection and Response Services. As organizations race to adopt agentic AI, modernize applications, and manage sprawling cloud environments, Kimberly offers a grounded look at why security must still sit at the center of every decision.   Kimberly explains how her role bridges two worlds at AWS. On one side are customers dealing with prioritization fatigue, fragmented security signals, and growing pressure to do more with fewer resources. On the other hand, there are the internal service teams building products like Amazon GuardDuty, Amazon Inspector, and AWS Security Hub. Her job is to connect those realities, shaping services based on what customers actually struggle with day to day. That perspective sets the tone for a conversation focused less on hype and more on practical outcomes.   We unpack how AWS thinks about security culture at scale, from infrastructure and encryption through to threat intelligence gathered across Amazon's global footprint. Kimberly shares how AWS uses large-scale honeypots to observe attacker behavior in real time, feeding that intelligence back into detection services while also working with governments and industry partners to take down active threats. It is a reminder that cloud security is no longer just about protecting individual workloads, but about contributing to a safer internet overall.   The conversation also dives into new announcements from re:Invent, including the launch of AWS Security Hub, extended threat detection for EC2 and EKS, and the emergence of security-focused AI agents. Kimberly explains how these tools shift security teams away from manual investigation and toward faster, higher-confidence decisions by correlating risks across vulnerabilities, identity, network exposure, and sensitive data. The goal is clear visibility, clearer priorities, and remediation that fits naturally into existing workflows.   We also explore how AWS approaches security in multi-cloud and hybrid environments, why foundational design principles still matter in an AI-driven world, and how open standards are helping normalize security data across vendors. Kimberly's reflections on re:Invent itself bring a human close to the episode, highlighting the pride and responsibility felt by teams building systems that millions of organizations depend on.   As AI adoption accelerates and security teams are asked to keep pace without slowing innovation, what would it take for your organization to move faster while still trusting the foundations you are building on?

In today's episode, we're talking about what Chica's Secret Party actually is! We'll also discuss if Michael is the pink guy, what the next books will be about, and if the MCI kids are trying to escape the animatronics!------------------------------------------------------------------------------------------To submit questions, theories, and creator collab requests, email at: FreddyFazbearPizzaPodcast@gmail.com --------------------------------------------------------------------------------------------------Intro/Outro music by: @Miri789 Thumbnail template by BarBADroid!https://barbadroid.carrd.coFreddy Fazbear Pizza Podcast is YOUR premiere FNAF podcast available everywhere!Youtube: https://youtube.com/playlist?list=PLlGAFKgA2Ax_6MKnuaq5ApBgC8osKW4Dx&si=jB2ja5c4k_OnCZQQSpotify: https://open.spotify.com/show/1a65iwRRAQylxb9EtRWmsdApple Music: https://podcasts.apple.com/us/podcast/freddy-fazbear-pizza-podcast/id1705899138Amazon Music: https://music.amazon.com/podcasts/4c77d1d8-077d-463d-b48e-21280279e281/freddy-fazbear-pizza-podcast--------------------------------------------------------------------------------------------------Wanna get me something? https://throne.com/ryetoastHere are all my socials and ways to support the channel!https://ryetoast.carrd.coJoin our growing community on discord! https://discord.gg/azPjrGGdBY----------------------------------------------------------------------------------------------------------------------Some renders in thumbnail created by Spencer Singer https://linktr.ee/mlspence3d-----------------------------------------------------------------------------------------------------------------------For Brand Deals and Sponsorships, contact: ryetoast@apollomgmt.co

How do you capture every moment of a golf tournament spread across hundreds of acres, tens of thousands of shots, and dozens of players competing at the same time? That question sits at the heart of this conversation recorded at AWS re:Invent, where I sat down with Eric Hansen, VP of Product at the PGA Tour, and Elaine Chiasson, who leads the global golf team at AWS, to unpack how data and AI are reshaping the way fans experience the game. Eric explains why modern professional golf has more in common with Formula 1 than most people realize. Every ball struck, every position on the leaderboard, and every shift in momentum generates data that needs to be processed instantly. With more than thirty thousand shots across a single tournament and only a fraction of them shown on traditional broadcasts, the PGA Tour faces a constant challenge. How do you give fans context, insight, and a sense of presence when most of the action is never seen on screen? Elaine shares how AWS has helped the Tour build the foundation to answer that question. From migrating decades of video and shot data into the cloud to applying generative AI for automated commentary, language translation, and real time insights, this partnership goes far beyond infrastructure. Together, they are experimenting with automated camera switching, AI driven production workflows, and personalized fan experiences that surface the right information at the right moment, whether you are following the leaderboard or a single favorite player. The conversation also digs into trust and accuracy. Eric walks through how the PGA Tour validates AI generated commentary to ensure it stays aligned with the sport's standards, while Elaine highlights why operational discipline and governance matter just as much as innovation. They explore what hyper personalization looks like inside the PGA Tour app, how global broadcasts could evolve, and why the long term opportunity lies in making every shot matter for every fan. As live sports move toward a future shaped by data, automation, and AI agents working behind the scenes, this episode offers a clear look at what that transformation really involves. So as golf continues to blend tradition with technology, what kind of fan experience do you want to see next, and how comfortable are you with AI calling the shots? Useful Links Connect with Eric Hansen, VP of Product at the PGA Tour. Connect with Elaine Chiasson Learn more about AWS and PGA Tour Tech Talks Daily is sponsored by Denodo

Aujourd'hui, on découvre une nouvelle expression française. Pratique ta compréhension du français et ta prononciation !

This week's episode looks at how soccer emerged in Scotland in the mid-1800s. By the early 1880s not only was Glasgow the world capital of football, but Scottish players playing for English clubs had revolutionised sport south of the Border. But is it the case that the Scots actually invented modern soccer? As I argue in this episode, the truth is more complicated than that - and simple explanations underplay the complexities of how sports develop and the contributions made by ordinary people. For more on the history of rugby and the other football codes, take a look at www.rugbyreloaded.com (where you can find the links for this episode) and follow me on Twitter at @collinstony Links to books and websites mentioned in the show: John Hutchinson and Andy Mitchell ‘1824 The World's Oldest Football Club': https://www.scottishsporthistory.com/worlds-first-foot-ball-club.html Richard McBrearty ‘Glasgow Before The Explosion … football cultures in the city prior to 1873': https://scottishfootballorigins.org/2021/08/26/glasgow-before-the-explosion-the-role-of-migration-and-immigration-in-the-development-of-football-cultures-in-the-city-prior-to-1873/ Matthew McDowell ‘A cultural history of association football in Scotland 1865-1902': https://www.research.ed.ac.uk/en/publications/a-cultural-history-of-association-football-in-scotland-1865-1902-/

Sur les champs de bataille du XVIe siècle, un barbier-chirurgien révolutionne l'art de guérir. Ambroise Paré refuse la cautérisation au fer rouge et les soins à l'huile bouillante, il invente des prothèses et remet l'humain au cœur de la pratique de la médecine. Entre science, foi et intuition, il ouvre la voie à la chirurgie moderne. Découvrez comment Ambroise Paré est devenu le réformateur de la médecine française et aussi le chirurgien des Rois. Crédits : Lorànt Deutsch, Valériane Cariou.Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

Tous les jours à 7H10 et 9H50 , on vous donne les bonnes nouvelles du jour.

Should we care about GPT-5.2? This week on Mixture of Experts, we analyze the “code red” release of GPT-5.2 as OpenAI responds to Gemini 3. Are the constant model drops benefitting consumers? Next, Stanford released their Foundation Model Transparency Index, revealing a troubling trend that most labs are becoming less transparent. However, IBM Granite achieved a 95/100 score. Then, our experts discuss what model transparency means for enterprise AI adoption. Finally, we debrief AWS re:Invent's biggest announcements, including Nova frontier models and Nova Forge. Join host Tim Hwang and panelists Kate Soule, Ambhi Ganesan and Mihai Criveti for our expert insights.00:00 – Intro1:02 -- GPT-5.2 emergency release 12:21 -- Stanford AI Transparency Index: Granite scores 95/10027:18 -- AWS re:Invent: Nova models and enterprise AIThe opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.Subscribe for AI updates → https://www.ibm.com/account/reg/us-en/signup?formid=news-urx-52120Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts #GPT-5.2 #AITransparency #GraniteModels #AWSNova #AIAgents

HSBC Innovations is the global bank's financing arm for American and European startups, especially in the healthcare and life sciences industries. The bank's semi-annual Venture Healthcare Reports document trends in the investment market.Key Tech's Andy Rogers welcomes the report's author, HSBC Innovation Managing Director Jon Norris in Episode 43 of the MedTech Speed to Data podcast.Need to know·       Four core market segments — HSBC Innovation's Venture Healthcare Reports cover investments and exits in Biopharma, Dx/Tools, Med Device, and Healthtech.·       Sourcing investment data — Norris enriches Pitchbook data with additional structure and analyses, making the report more relevant to these market segments.·       Sourcing exit data — Norris supplements media and industry publications with market research and conversations with industry leaders.·       An investment data tapestry — The reports provide “an honest picture of what's going on in the market” so investors and innovators alike “can make targeted smart decisions.”The nitty-grittyAndy and Norris discuss the investment market's recent history before exploring drivers of today's investment headwinds.“2021 was a record-setting year,” Norris recalls. “Every record that could be set for deals and dollars was set across all the sectors.” Things changed in 2022 as new BioTech IPOs struggled, prompting investment reprioritizations.“VCs had done all these… frothy valuations,” Norris says. “They had to go back and look at their own portfolios and say, does this company have enough capital? How do you want to put money to work?”Investments rebounded in 2024, but not the number of deals. Investors poured money into their existing portfolios to boost their exit chances, resulting in today's nine-figure megadeals.“Basically, they're smooshing two rounds together and extending the investors coming in to support that round,” Norris says.Headwinds stiffened in 2025 as tariffs, a more litigious competitive space, and other factors amplified business uncertainty.Norris attributes this progression to the psychology of venture capital. “When you think about what makes these folks tick,” Norris explains, “they want to continue to raise new venture funds because they get paid management fees. But in order to raise their new venture funds, they have to show their investors that they've actually gotten returns.”That means reaching an acquisition or IPO. “They're very focused on getting to exit right now. That's why they're so focused on their existing portfolio. And because of that, they haven't been doing as many new investments.”New investments still happen, of course, but the criteria have changed. “While the dollars are actually up in some of these sectors, especially Med Device,” Norris says, “you're seeing that being put to work on later-stage deals because they'd rather get a shorter time to exit.”Data that made the difference:Norris' insights from the HSBC Venture Healthcare Report let him advise startups fighting today's investment headwinds.Adopt a megaround mentality. “Series B has been extremely difficult,” Norris says. “[Raising] sub two million, that's one thing. But if you're looking to raise five million, it's almost better to raise twelve.”Find investors outside the mainstream. “Traditional venture investors don't want to write small checks.” Norris sees angel groups, innovation centers, and other small investors funding these early rounds.Explore acquisition exits, but be careful. “On the device side, most of the corporates have been pretty darn active,” Norris says. However, some litigate to block emerging competition, especially in the Dx/Tools sector. Norris' recommends researching potential acquirers before taking meetings.Download the HSBC Venture Healthcare Report for Norris' complete analysis, and watch the video below for insights into the Medical Device and Dx/Tools sectors, AI's role in MedTech, and more.

La noticia del fallecimiento de Robe Iniesta a los 63 años ha sido analizada en el programa 'Herrera en COPE'. Los comunicadores Alberto Herrera, Jorge Bustos y El Pirata, de Rock FM, han repasado el gran legado del músico, a quien este último ha calificado como "único" por su forma de entender la vida y el arte.El Pirata ha recordado una anécdota que define el carácter pionero del artista. "Lo que ahora se llama crowdfunding, Alberto, no sé si lo pronuncio bien, eso lo inventó hace varias décadas Robe Iniesta". Según ha explicado, el músico recorría los bares de su Plasencia natal pidiendo "1.000 pelas" para poder grabar su primera maqueta a cambio de una copia cuando estuviera lista.Esta actitud indomable marcó toda su carrera. El Pirata ha destacado que "se puso el mundo por montera" y "hizo siempre lo que le dio la gana", llegando a enfrentarse "a los más poderosos organizadores de conciertos del planeta". Y ganó. Sus letras, con imágenes como la del "buitre ...

In this fireside chat with AWS CEO Matt Garman and AWS VP of Global Services, Uwem Ukpong, hear about the latest developments at AWS and why they matter to your business. Featured at the AWS Executive Summit at re:Invent, this discussion addresses everything from navigating data sovereignty with the European Sovereign Cloud, to building custom AI models with Nova Forge and Trainium chips, to transforming software development with frontier agents. Learn how AWS is helping enterprises unlock AI's full potential while maintaining control of their data and reimagining how teams work.

Welcome to episode 334 of The Cloud Pod, where the forecast is always cloudy! This week, we're bringing you a jam-packed recap of re:Invent! We've got all the news, from keynotes to announcements. Whether you were there live or catching up on all the news, Justin, Matt, and Ryan are here to break it all down. Let's get started!  Titles we almost went with this week EKS Gets Chatty: Natural Language Replaces Command Line Nightmares Harvest Now, Decrypt Later: Why Your RSA Keys Need a Quantum Makeover Before 2026 NAT So Fast: AWS Helps You Find Gateways Doing Absolutely Nothing AWS Finally Admits You Have Too Many Log Buckets AWS Finally Lets You Log In Like a Normal Human Lambda Gets a Memory: Checkpoint Your Way to Multi-Step Workflows Step Functions at Home: Lambda Durable Functions Let You Write Workflows in Actual Code No More Bucket List: S3 Public Access Gets Organization-Wide Lockdown AWS Hits Ctrl-Z on CodeCommit Deprecation AWS Puts a Cap on CloudFront: Unlimited Traffic, Limited Anxiety AWS Tells SQL Server to Take a Thread Off: Optimize CPU Cuts Costs by 55% Amazon Bedrock Gets a Bouncer: AgentCore Identity Checks IDs at the Door AI Brings on the Developer Renaissance Follow Up  01:27 re:Invent  Matt Garman- 14th Reinvent, which is weird, since we've been doing cloud stuff for 87 years… Warner – Open Mind for a different View and nothing else matters T-shirt. 02:59 re:Invent predictions Jonathan Serverless GPU support (extension in Lambda or a different service), it’s about time we have a serverless GPU/Inference capability. It is talked about in the keynote with DeSantis. AI Agent with a goal/instructions that can run when they need to, periodically, or always, and perform an action (Agentic Platform that runs agents) –  Garman – Bedrock AgentCore and Kiro Autonomous Agent Werner will announce this is his last keynote and he will retire He retired from re:Invent Presentations Ryan New Tranium 3 chips, Inferentia, and Graviton chips Garman – announced Tranium 3 Ultraservers. They brought the Rack Ryan Expand the number of models in or via bedrock Doubled the number of models and announced Gemma, Minimax M2, Nvidia Nemotron, Mistral Large, and Mistral 3

Dans ce nouvel épisode, on te raconte la vie complètement WTF du mec qui a INVENTÉ les effets spéciaux avant tout le monde. Oui oui : avant Marvel, avant Spielberg… avant tout le monde. : Georges Méliès

Did Early Christians Invent Christmas? Did Christians really “invent” Christmas, or is the story far deeper than the myths we hear every year? In this episode, Dr. Walt uncovers what the earliest Christians believed, how December 25 was chosen, and why claims of pagan origins fall apart under real history. You'll learn the truth about Sol Invictus, Saturnalia, and the theology that shaped the celebration of Jesus' birth.  If you've ever wondered whether Christmas is biblical or borrowed, this episode will give you solid answers.  Don't miss this eye-opening look at one of the most debated topics in Christian history. Audio only and video: https://truthunbound.podbean.com/ Truth Unbound website: https://truthunbound.org/ Facebook: https://www.facebook.com/TruthUnbound YouTube: www.youtube.com/@TruthUnboundMinistries Info@TruthUnbound.org https://lbu.edu  

Did Early Christians Invent Christmas? Did Christians really “invent” Christmas, or is the story far deeper than the myths we hear every year? In this episode, Dr. Walt uncovers what the earliest Christians believed, how December 25 was chosen, and why claims of pagan origins fall apart under real history. You'll learn the truth about Sol Invictus, Saturnalia, and the theology that shaped the celebration of Jesus' birth.  If you've ever wondered whether Christmas is biblical or borrowed, this episode will give you solid answers.  Don't miss this eye-opening look at one of the most debated topics in Christian history. Audio only and video: https://truthunbound.podbean.com/ Truth Unbound website: https://truthunbound.org/ Facebook: https://www.facebook.com/TruthUnbound YouTube: www.youtube.com/@TruthUnboundMinistries Info@TruthUnbound.org https://lbu.edu  

80 milliards de dollars pour un rachat et sans intelligence artificielle cette fois ! C'est en tout cas la volonté de la part de Netflix de racheter Warner Bros. Et puis on a un premier lauréat comme première grande plateforme à être sanctionnée par l'Union européenne dans le cadre du Digital Services Act (DSA) : c’est X pour 140 millions de dollars au sujet de plusieurs manquements jugés graves. Nouveau : offrez un abonnement Patreon pour Noël : techcafe.fr/cadeau Patreon YouTube Discord Interactions auditeurs Gloups, je suis un poisson avec Thiasma. Le répondeur et Chat control. Mika Excelle ? Une vidéo spécial dédicace pour Steven40k. L'explorateur de xZ0Uka. Warned Bros Microsoft 365 augmente encore ses prix, c'est pas fini… AWS re:Invent pas la roue. Arvind et Dario sont dans un bateau. OpenAI en code rouge, surtout côté compta. Meta devient de plus en plus méta. Confundo ! Netflix rachète Harry. Et Joël aussi… Les jeux vidéo sont concernés. Apollo en PLS : Artemis va-t-elle se faire griller ? Plainte contre X : Elon sanglot des violons de l'automne… Le Père Noël n’aime pas que vous offriez des abonnements Patreon ! (vidéo) French Touch Tesla en balade à Paname. Le vent se (re)lève : nouveaux Mistral et Ministral. La baleine revient, où se planque-t-on ? Le Gradium qui tombe à pic et la fête de l'UMA. Jeux vidéo Le housing arrive sur Wow, moi je veux aller chez les pandas. Frame : I wanna live forever, I'm gonna learn how to fly. Que dort Médine : EA beaucoup plus Saoudien que prévu. Participants Une émission préparée par Guillaume Poggiaspalla Présenté par Guillaume Vendé

2025 was hella weird. The AI revolution is here whether we asked for it or not. This week, George K and George A reflect on the year and what it means for 2026.At AWS re:Invent, George A watched a machine create a custom fragrance and marketing campaign in real-time from a voice prompt. What does that portend for product prototyping, and scaled manufacturing?Could voice and natural language finally replacing typing as the primary interface? We're watching the biggest shift in human-computer interaction since the mouse.Worldwide AI adoption isn't hype anymore—it's happening and doing so unevenly. Some enterprises are getting serious and some are still noodling. The tools are maturing. The question shifted from "if" to "how do we do this responsibly."There are serious questions to answer. GPU lifecycles. The Magnificent Seven's circular financing models. The human cost of moving this fast. But that's the work—building technology that serves us instead of the other way around.The revolution came. Now comes the interesting part: what we actually build with it.2026 is going to be wild. We remain up to the challenge.Mentioned: Brookings Institution, “New data show no AI jobs apocalypse—for now” Discussed in further detail with Ethan Mollick on Your Undivided Attention Reid Hoffman's interview with Wispr Flow founder/CEO Tanay Kothari More on Coreweave's financing model at The Verge

Amazon is experimenting again. This week, we dig into our scoop on Amazon Now, the company's new ultrafast delivery service. Plus, we recap the GeekWire team's ride in a Zoox robotaxi on the Las Vegas Strip during AWS re:Invent. And in our featured interview, from the show floor, AWS Senior Vice President Colleen Aubrey discusses Amazon's push into applied AI, why the company sees AI agents as "teammates," and how her team is rethinking product development in the age of agentic coding. RELATED STORIES Stars on the ceiling, Cher on the speakers: Notes from our first ride in Amazon’s Zoox robotaxi Groceries in a flash: We tested ‘Amazon Now’ in Seattle — and got our delivery in 23 minutes AWS CEO Matt Garman thought Amazon needed a million developers, until AI changed his mind With GeekWire co-founders Todd Bishop and John Cook. Edited by Curt Milton. See omnystudio.com/listener for privacy information.

María Félix no actuaba: gobernaba la escena. En un mundo que esperaba sumisión de las mujeres, ella respondió con mirada firme, frases afiladas y una presencia que nadie pudo ignorar.Este episodio es un retrato sonoro de La Doña, la mujer que eligió convertirse en mito. ¿Fue libre, o solo fue dueña de su máscara? ¿Y cuántas de nosotras también estamos aprendiendo a vivir sin pedir perdón?Este episodio llega a ti gracias a Actinver, acompañándote a construir las mejores historias de tu vida. ¡Hola, soy Elisa Queijeiro!Nací para contar historias. Soy humanista, escritora y académica, pero sobre todo, soy una mujer hambrienta de aprender. Descubrí que las verdades del pasado pueden inspirarnos hoy si las sabemos escuchar.

This week, we discuss AWS re:Invent announcements, Agentic Development, and OpenAI's Code Red. Plus, a Digital ID field test and more on silverware sorting. Watch the YouTube Live Recording of Episode (https://www.youtube.com/live/Xl7lVVTd4DM?si=APR633y2hmXPHHdb) 549 (https://www.youtube.com/live/Xl7lVVTd4DM?si=APR633y2hmXPHHdb) Runner-up Titles Did you order the Code Red? In the year 2000 Jane go swiftly Another day in the coal mine Goal Driven Development I want to believe Prove me wrong AI's going to dig this hole faster Tornado of Innovation Revenue times Story Rundown SiteAngel - bonus press quote from Brandon (https://www.nextgov.com/digital-government/2000/10/angel-watches-over-web-sites/243841/) AWS Amazon announces $50B investment to expand AI and supercomputing capabilities for US government (https://siliconangle.com/2025/11/24/amazon-announces-50b-investment-expand-ai-supercomputing-capabilities-us-government/) Top announcements of AWS re:Invent 2025 (https://aws.amazon.com/blogs/aws/top-announcements-of-aws-reinvent-2025/) All the biggest news from AWS' big tech show re:Invent 2025 (https://techcrunch.com/2025/12/02/all-the-biggest-news-from-aws-big-tech-show-reinvent-2025/) AWS announces preview of AWS Interconnect - multicloud (https://aws.amazon.com/about-aws/whats-new/2025/11/preview-aws-interconnect-multicloud/) The Future of AWS CodeCommit | Amazon Web Services (https://aws.amazon.com/blogs/devops/aws-codecommit-returns-to-general-availability/) Nova Act (https://aws.amazon.com/blogs/aws/build-reliable-ai-agents-for-ui-workflow-automation-with-amazon-nova-act-now-generally-available/) Code Red OpenAI CEO declares “code red” as Gemini gains 20 0 million users in 3 months (https://arstechnica.com/ai/2025/12/openai-ceo-declares-code-red-as-gemini-gains-200-million-users-in-3-months/) Anthropic reportedly preparing for one of the largest IPOs ever in race with OpenAI: FT (https://www.cnbc.com/2025/12/03/anthropic-claude-reportedly-preparing-ipo-race-openai-chatgpt-ft-wilson-sonsini-goodrich-rosati.html) Microsoft stock sinks on report AI product sales are missing growth goals (https://www.cnbc.com/2025/12/03/microsoft-stock-ai-foundry-sales.html) AI & Cloud Trends for November 2025 (https://www.thecloudcast.net/2025/12/ai-cloud-trends-for-november-2025.html) Relevant to your Interests Under My Roof Home Inventory + App - App Store (https://apps.apple.com/us/app/under-my-roof-home-inventory/id1524335878) Thoma Bravo invests in Azul (https://www.finextra.com/pressarticle/108009/thoma-bravo-invests-in-azul) Streamline Development with the Google Workspace Extension (https://allen.hutchison.org/2025/11/19/bringing-the-office-to-the-terminal/) As its voice dictation app takes off, Wispr secures $25M from Notable Capital | TechCrunch (https://techcrunch.com/2025/11/20/as-its-voice-dectation-app-takes-off-wispr-secures-25m-from-notable-capital/) Valve makes almost $50 million per employee (https://www.tomshardware.com/video-games/pc-gaming/valve-makes-almost-usd50-million-per-employee-raking-in-more-cash-per-person-than-google-amazon-or-microsoft-gaming-giants-350-employees-on-track-to-generate-usd17-billion-this-year) HelixGuar (https://helixguard.ai/blog/malicious-sha1hulud-2025-11-24)d (https://helixguard.ai/blog/malicious-sha1hulud-2025-11-24) What to know about a recent Mixpanel security incident (https://openai.com/index/mixpanel-incident/) ServiceNow to Expand Security Portfolio With Acquisition of Veza's Leading AI-native Identity Security Platform (https://www.businesswire.com/news/home/20251201652471/en/ServiceNow-to-Expand-Security-[…]tion-of-Vezas-Leading-AI-native-Identity-Security-Platform) Vista-Backed LogicMonitor Buys Monitoring Startup Catchpoint (https://www.bloomberg.com/news/articles/2025-12-02/vista-backed-logicmonitor-buys-mon[…]ing-startup-catchpoint?srnd=phx-deals&embedded-checkout=true) Google releases Nano Banana Pro, its latest image generation model (https://techcrunch.com/2025/11/20/google-releases-nano-banana-pro-its-latest-image-generation-model/) Years of JSONFormatter and CodeBeautify Leaks Expose Thousands of Passwords and API Keys (https://thehackernews.com/2025/11/years-of-jsonformatter-and-codebeautify.html) Netflix kills casting from phones (https://www.theverge.com/news/834655/netflix-phone-casting-chromecast-support-killed) Nonsense Victorian Name Generator (https://codebeautify.org/victorian-name-generator) Conferences cfgmgmtcamp 2026 (https://cfgmgmtcamp.org/ghent2026/), February 2nd to 4th, Ghent, BE. Coté speaking and doing live SDI with John Willis. DevOpsDayLA at SCALE23x (https://www.socallinuxexpo.org/scale/23x), March 6th, Pasadena, CA Use code: DEVOP for 50% off. CFP open until Dec. 1st. Devnexus 2026 (https://devnexus.com), March 4th to 6th, Atlanta, GA. SDT News & Community Join our Slack community (https://softwaredefinedtalk.slack.com/join/shared_invite/zt-1hn55iv5d-UTfN7mVX1D9D5ExRt3ZJYQ#/shared-invite/email) Email the show: questions@softwaredefinedtalk.com (mailto:questions@softwaredefinedtalk.com) Free stickers: Email your address to stickers@softwaredefinedtalk.com (mailto:stickers@softwaredefinedtalk.com) Follow us on social media: Twitter (https://twitter.com/softwaredeftalk), Threads (https://www.threads.net/@softwaredefinedtalk), Mastodon (https://hachyderm.io/@softwaredefinedtalk), LinkedIn (https://www.linkedin.com/company/software-defined-talk/), BlueSky (https://bsky.app/profile/softwaredefinedtalk.com) Watch us on: Twitch (https://www.twitch.tv/sdtpodcast), YouTube (https://www.youtube.com/channel/UCi3OJPV6h9tp-hbsGBLGsDQ/featured), Instagram (https://www.instagram.com/softwaredefinedtalk/), TikTok (https://www.tiktok.com/@softwaredefinedtalk) Book offer: Use code SDT for $20 off "Digital WTF" by Coté (https://leanpub.com/digitalwtf/c/sdt) Sponsor the show (https://www.softwaredefinedtalk.com/ads): ads@softwaredefinedtalk.com (mailto:ads@softwaredefinedtalk.com) Recommendations Brandon: Dampf Good BBQ (https://guide.michelin.com/us/en/north-carolina/cary_2986745/restaurant/dampf-good-bbq) Matt: UmamiPapi (https://umamipapi.com.au/) chilli oil Coté: Anta (https://anta-keelpastilles.nl/smaken/classic/), slightly more in English (https://www.dutchexpatshop.com/en/anta-flu-classic.html). Also XdgBaseDirs (https://cote.io/2025/12/02/an-xdg-library-for-java.html). Photo Credits Header (https://unsplash.com/photos/a-wooden-block-spelling-the-word-website-on-a-table-Vagh0KcwvwQ)

We want to write but we don't have our story fully figured out.  What can we do?  Here are thoughts on inventing plot, things we can do to shake loose the plot from our brains.  Also, the techniques of a master of character description: Margaret Mitchell.  Support the show

Maribel Lopez reports live from AWS re:Invent 2025 in Las Vegas, unpacking why the AI experimentation phase is officially over. With statistics that say 95% of AI projects are failing and enterprise budgets tightening, 2026 demands production-quality AI—not more proof-of-concepts. This episode explores the critical shift from building agents to deploying them safely at scale.Key ThemesThe Reality Check (2025 Recap)MIT study reveals 95% AI project failure rateMcKinsey and BCG document widespread implementation strugglesBoard-level AI initiatives now demand real ROI, not just innovation theaterThe POC gold rush is over—experimentation budgets are drying upAgentic AI Grows Up The conversation has evolved from "can we build agents?" to "can we trust them in production?" Three critical roadblocks:Security & Orchestration: How agents interact without creating vulnerabilitiesPolicy & Governance: Preventing rogue agents and establishing guardrailsObservability: Real-time monitoring to ensure agents perform as intendedAWS re:Invent 2025 HighlightsAgent Core ImprovementsEnhanced policy frameworks defining agent boundaries and permissionsHuman-in-the-loop controls for high-stakes decisionsBetter cross-stack orchestration for multi-agent workflowsThe Discoverability ProblemAWS Marketplace now features natural language searchUpload requirements documents instead of filling rigid formsAI-suggested prompts help non-technical users navigate complex decisionsSmarter filtering for nuanced needs (performance vs. cost vs. compliance)The Full-Stack MaturityRecognition that AI "takes a village"—no single vendor owns the entire stackGrowing emphasis on open standards (A2A, MCP) for SaaS integrationTools designed for all skill levels, not just data scientistsKey TakeawayEnterprise AI in 2026 isn't about doing more—it's about doing it right. The winners will be organizations that prioritize governance, observability, and practical deployment over flashy demos.Host: Maribel LopezRecorded: AWS re:Invent, Las Vegas, December 2025Follow-up: Stay tuned for next week's deep-dive episode with demos and vendor interviews

Have you ever wondered how an idea that begins with two friends in a pub ends up shaping conversations about health all over the world? That was on my mind as I met  Graham Link & Timothy Gnaneswaran from Movember on the show floor at AWS re:Invent. Their story has grown far beyond the mustache that everyone recognises. What started with a simple gesture of support has become a movement that now reaches millions, raises vast sums through a global fundraising platform, and backs projects focused on prostate cancer, testicular cancer, mental health, and suicide prevention. Hearing them describe how that original spark grew into something this wide and long lasting gave the conversation a real sense of depth. Recording in the middle of re:Invent added its own flavour. AI news filled the halls, yet Timothy and Graham were there speaking with engineers and builders about something deeply human. Their booth stopped people in their tracks, offered barbershop shaves, and created space for personal stories. They talked openly about how Movember built its own platform to handle sixty to eighty million dollars in four weeks, how it must stay resilient every minute, and how AWS has supported them for more than a decade. They also shared how technology shapes the work behind the scenes, whether it is clinical quality registries, digital conversations tools, or new research paths that explore how AI might support healthier behaviours. What stayed with me most was the honesty about the tensions they face. Men are still reluctant to talk about their health. Loneliness is rising. Social platforms create new openings and new barriers at the same time. They see how AI can help someone begin a difficult conversation, yet they are clear about the risks when people rely on tools that were never designed for mental health support. They also talked about the patterns they see across different regions, the sobering statistics in the major markets where they operate, and how younger audiences now gather in gaming communities rather than traditional spaces. Movember knows it needs technology to reach scale, but it never wants to lose the human connection at the heart of its mission. What part of their story stands out most for you, and where do you think technology can genuinely help shape the next chapter of men's health?

It is the end of re:Invent! Simon and Jillian share some updates and also take a moment to reflect on 2025.

Simon and Jillian catch you up on the highlights from today's keynote PLUS all the "pre:Invent" announcements that took place prior to the event!

Amazon used AWS re:Invent to clarify where it actually fits in the rapidly shifting AI landscape, revealing a strategy built around practical multimodality, enterprise-first customization, and a long-term bet on specialized agents. This episode breaks down what Amazon announced, what changed, what didn't, and what the updates really mean for enterprise teams navigating their AI stacks. Plus: OpenAI's new pre-training progress, Anthropic's alien-tech momentum, Mistral's sprawling new lineup, and the latest moves in the race toward IPOs. Brought to you by:KPMG – Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast and unlock insights that will inform smarter decisions inside your enterprise. Listen now and start shaping your future with every episode. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.kpmg.us/AIpodcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Rovo - Unleash the potential of your team with AI-powered Search, Chat and Agents - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://rovo.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LandfallIP - AI to Navigate the Patent Process - https://landfallip.com/Blitzy.com - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to build enterprise software in days, not months Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Interested in sponsoring the show? sponsors@aidailybrief.ai

Did you know a single Formula 1 car produces 1.1 million data points every second from hundreds of sensors? That number alone sets the tone for this conversation with Ruth Buscombe, an F1 strategist, analyst, and F1TV presenter whose work sits at the meeting point of engineering precision and real time storytelling. We met at AWS re:Invent in Las Vegas, and her insights into how much pressure, judgment, and creativity are wrapped inside each decision brought the sport to life in a fresh way for anyone who has ever stared at a dashboard of metrics and wondered what really matters. This discussion goes far deeper than split times and tyre choices. Ruth explains how AWS and F1 are rethinking race strategy through real time insights and cloud compute, from TrackPulse and root-cause analysis all the way to predictive graphics that let commentary teams spot a race-defining moment before it happens. She also reflects on the sport's changing culture, the growth of new fan communities, and the shift from old telemetry to modern systems that process millions of data points every second. Her stories from the paddock at Ferrari, Alfa Romeo, and F1TV help frame just how intense the job can be when 12,000ths of a second separate pole from second place. There are moments in this conversation that remind us that F1 strategy is as much about human pattern recognition as it is about machine intelligence, and that the strongest engineers find ways to absorb pressure without losing their instinct. What stood out most was how clearly Ruth links F1 to decision making in every industry. Whether she is talking about marginal gains, pattern detection, or the discipline needed to separate noise from signal, her examples make perfect sense to both race fans and tech leaders. She shares how AWS tools allow broadcasters and engineers to interpret scenarios instantly, why the sport needed to move past manual diagnosis, and how new tools even help verify whether a driver's mistake came from a small steering slide or a split-second shift error. Her passion is infectious and her explanations cut straight to the heart of what makes the blend of live racing and cloud computing work so well. As you listen, think about how your own team makes choices under pressure and ask yourself one last question. If you were in the garage making a call with the whole world watching, which signals would you trust and how fast could you act? Useful Links: Connect with Ruth  Sign up to Ruth's Newsletter AWS Insights