Podcasts about aws

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.

Is AI building the future — or inflating the next great tech bubble?This week's episode of Leveraging AI peels back the layers of billion-dollar optimism and uncovers the quiet panic sweeping the AI giants. From OpenAI's internal “Code Red” to Anthropic's cautious warnings, host Isar Meitis walks you through the pivotal shifts shaking the foundation of the AI industry.While tech giants throw trillions into compute power and bold promises, business adoption is… shockingly stagnant. Are we seeing signs of a bubble about to burst — or is the market simply catching its breath before the next leap?If you're a business leader navigating the hype, headlines, and high stakes, this is your briefing.In this session, you'll discover:Why OpenAI froze development and went into Code Red modeHow $8 trillion in projected AI infrastructure is colliding with disappointing ROIThe growing disconnect between enterprise AI adoption and corporate AI spendWhat top CEOs like IBM's Arvind Krishna and Anthropic's Dario Amodei really think about the AI investment surgeA jaw-dropping look at deep AI infrastructure costs and the five-year obsolescence cycleWhy Claude Opus 4.5 is being called the best coding model on the marketThe bold new moves from AWS, including agentic AI factoriesPolitical pressures: PAC wars, employee protests, and the race to regulateAnd what your company should (and shouldn't) do right now to stay aheadAbout Leveraging AI The Ultimate AI Course for Business People: https://multiplai.ai/ai-course/ YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/ Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events If you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

In this episode, we dig into how AWS's in-house chip competitor to Nvidia is already generating multibillion-dollar revenue. We explore what this means for the AI hardware landscape and how AWS is positioning itself in the accelerating chip race.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle--------------See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Did you ever walk into a conference session thinking you were ready for the week, only to realise the announcements were coming so fast that you almost needed an agent of your own to keep up? That was the mood across Las Vegas, and it was the backdrop for my conversation with Madhu Parthasarathy, the general manager for Agent Core at AWS. He has spent the week at the centre of AWS's wave of agentic AI news, working on the ideas that are already moving from keynotes and demos into the hands of real enterprise teams. Sitting down with him offered a rare moment of clarity among the noise, and his calm take on what actually matters helped bring the bigger picture into focus. Madhu talked through the thinking behind Agent Core and why he believes 2026 will be the year enterprises finally begin shifting from prototypes to production scale agents. He walked me through the two areas customers keep coming back to, trust and performance, and why the new policy framework and agent evaluations could remove long standing barriers to deployment.  His examples were grounded in real behaviour he is seeing inside large companies, whether that is internal support workloads, developer productivity, meeting preparation, or customer facing flows designed to reduce the friction between intent and outcome. We also explored the deeper shift introduced by Nova Forge, including the idea of blending enterprise data with model checkpoints to create domain specific agents that can work with greater accuracy and context. Madhu explained why there will never be a one size fits all model and how choice remains central to AWS's approach to agentic AI. My guest also reflected on how infrastructure changes, such as Trainium three ultra servers and expanded Nova model families, are shaping the pace at which companies can experiment, evaluate, and adopt emerging capabilities. Trust surfaced again and again in our conversation. Madhu was clear that non-deterministic systems also introduce concerns, which is why action boundaries and guardrails are becoming as important as model quality. He described the excitement he is seeing from customers who now feel they have workable ways to give agents responsibility without handing over the keys entirely.  As he put it, this is the moment where confidence begins to grow because the guardrails finally meet the expectations of enterprise leaders. We closed with the topic many people have been whispering about all week, modernization. Madhu reflected on AWS Transform, the push to help organisations move away from legacy architectures far faster than before, and the impact that agentic systems will have as they support full stack migrations across Windows environments and custom languages.  Madhu cuts through the noise with a grounded view of reliable autonomy, multi agent orchestration, policy driven safety, and the shift toward agents as true collaborators. The question now is where you see the biggest opportunity. How might these agent-based systems change your workflows, and what would it take for you to trust them with the tasks you never seem to have time for? I would love to hear your thoughts.

Bitcoin's down, so the Lessins turned down the heat and pulled out their winter gear. The More or Less squad jumps from SF's drone-powered crime-fighting memes (Daniel Lurie's “no drugs” moment) to how creator-content strategy now drives real deal flow. Jess says 2026 will split the AI tide (we unfortunately did have to touch on AI), with Meta's missing enterprise story dragging its CapEx dreams, while AWS is suddenly courting founders again. From Apple's design chief Alan Dye jumping to Meta to questioning whether OpenAI's “code red” was a decoy, the squad never misses when it comes to the latest thinking in Silicon Valley.Buy Slow's Modern Etiquette book: https://www.amazon.com/dp/B0G4HSKSY5Chapters:Chapters:01:10 Kudos to SF Mayor, Daniel Lurie!07:14 Doom scrolling on a Garmin watch12:34 Holiday gift guides: AI robots, Duolingo piano, Matic vac mop, etc14:30 The creator-VC playbook 21:27 Instagram RTO 5 days per week leadership reality check22:08 Alan Dye leaves Apple for Meta 26:09 Jess' 2026 prediction: The Big Tech divergence is coming27:46 Meta's enterprise gap28:46 AWS outreach to Sam: Bedrock Nova and startup credits31:45 Sam Altman's code red memo -- is it a decoy?33:51 Gemini latency vs GPT why speed matters for Brit (Ad opp?)44:39 Is Aaron Levie for or against AI?46:40 Waymo's safety report and Dave's FSD usage51:21 Recapping the Slow holiday party + Offline's next58:28 Slow's Modern Etiquette Book plug (Link to purchase: https://www.amazon.com/dp/B0G4HSKSY5)We're also on ↓X: https://twitter.com/moreorlesspodInstagram: https://instagram.com/moreorlessYouTubeConnect with us here:1) Sam Lessin: https://x.com/lessin2) Dave Morin: https://x.com/davemorin3) Jessica Lessin: https://x.com/Jessicalessin4) Brit Morin: https://x.com/brit

Canada has announced its intention to contract MDA Space to build, test, and launch an additional radar imaging satellite. HawkEye 360 has been awarded a contract extension from the National Reconnaissance Office (NRO) and the Commercial Systems Program Office (CSPO) to expand its ongoing work. NASA has extended its Cooperative Agreement with CASIS to manage the International Space Station National Laboratory through 2030, and more. Remember to leave us a 5-star rating and review in your favorite podcast app. Be sure to follow T-Minus on LinkedIn and Instagram. T-Minus Guest Elysia Segal brings us the Space Traffic Report from NASASpaceflight.com. Selected Reading MDA Space Awarded Initial Contract By Canadian Space Agency For Radarsat Constellation Mission Replenishment Satellite NRO Selects HawkEye 360 to Advance Tactical RF Data and Analytics Capabilities CASIS to Manage the International Space Station National Laboratory Through 2030 Sidus Space Secures Subcontractor Role with MobLobSpace on NASA SBIR Radar Initiative with LizzieSat Hosting Sam Altman Has Explored Deal to Build Competitor to Elon Musk's SpaceX RTX's Raytheon announces strategic collaboration with AWS to improve services for space customers Castelion Closes $350 Million Series B to Mass Produce U.S. Hypersonic Weapons NASA's Fly Foundational Robots Demo to Bolster In-Space Infrastructure “Space Sailors” Seeking Download Help from Ham Radio Operators Share your feedback. What do you think about T-Minus Space Daily? Please take a few minutes to share your thoughts with us by completing our brief listener survey. Thank you for helping us continue to improve our show.  Want to hear your company in the show? You too can reach the most influential leaders and operators in the industry. Here's our media kit. Contact us at space@n2k.com to request more info. Want to join us for an interview? Please send your pitch to space-editor@n2k.com and include your name, affiliation, and topic proposal. T-Minus is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc. Learn more about your ad choices. Visit megaphone.fm/adchoices

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

Live from the iconic Venetian in Las Vegas, we're rolling out an exclusive mini-series dedicated to AWS re:Invent 2025!Tune in as we sit down with AWS visionaries and take the pulse of the industry on everything shaping the future, Cloud innovation, GenAI, Agents, and the hottest trends making waves.And because what happens in Vegas doesn't always stay in Vegas, we'll spill the latest news, insider buzz, and a little Strip-side gossip to keep things spicy. Dave, Esmee, and Rob continue their discussion with Scott Mullins, MD Financial Services at AWS, on how the sector is rapidly embracing cloud, AI, automation, and real-time data to drive agility and stay compliant. TLDR00:30 – Meet Scott Mullins and hear about his re:Invent experience05:00 – Deep dive conversation with Scott25:56 – Fiiction with The Jetsons GuestScott Mullins: https://www.linkedin.com/in/escottmullins/ HostsDave Chapman:  https://www.linkedin.com/in/chapmandr/Esmee van de Giessen:  https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan:  https://www.linkedin.com/in/rob-kernahan/ ProductionMarcel van der Burg:  https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman:  https://www.linkedin.com/in/chapmandr/ SoundBen Corbett:  https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:   https://www.linkedin.com/in/louis-corbett-087250264/ 'Cloud Realities' is an original podcast from Capgemini

Live from the iconic Venetian in Las Vegas, we're rolling out an exclusive mini-series dedicated to AWS re:Invent 2025!Tune in as we sit down with AWS visionaries and take the pulse of the industry on everything shaping the future, Cloud innovation, GenAI, Agents, and the hottest trends making waves.And because what happens in Vegas doesn't always stay in Vegas, we'll spill the latest news, insider buzz, and a little Strip-side gossip to keep things spicy. Dave, Esmee, and Rob wrap up their final AWS re:Invent 2025 conversation with Mustafa Isik, Chief Technologist for Sovereignty at AWS, discussing digital sovereignty and its growing regional importance. They close the event with reflections from Matthew Gillard, co-founder of Cuidado Connect and co-host of Cloud Dialogues, along with insights from the team. TLDR01:29 – Meet Mustafa Isik and hear his keynote highlights04:05 – In-depth discussion with Mustafa31:35 – Exploring the line between science fiction and science fact36:26 – Introduction to Matthew Gillard38:55 – Matt shares his re:Invent reflections from a developer's perspective52:12 – The team looks back on re:Invent 20251:00:02 – The team's take on science fiction versus science fact GuestsMustafa Isik: https://www.linkedin.com/in/codesurgeon/Matt Gillard: https://www.linkedin.com/in/mattgillard/ https://cloud-dialogues.com/HostsDave Chapman:  https://www.linkedin.com/in/chapmandr/Esmee van de Giessen:  https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan:  https://www.linkedin.com/in/rob-kernahan/ ProductionMarcel van der Burg:  https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman:  https://www.linkedin.com/in/chapmandr/ SoundBen Corbett:  https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:   https://www.linkedin.com/in/louis-corbett-087250264/ 'Cloud Realities' is an original podcast from Capgemini

It's Friday! Matt Housley and I catch up to discuss the aftermath of AWS re:Invent and why the industry's obsession with AI Agents might be premature. We also dive deep into the hardware wars between Google and NVIDIA , the "brain-damaged" nature of current LLMs , and the growing "enshittification" of the internet and platforms like LinkedIn. Plus, I reveals some details about my upcoming "Mixed Model Arts" project.

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?

In this episode of Screaming in the Cloud, Corey Quinn sits down with Rubrik's GM of AI, Dev Rishi, to unpack the real story behind enterprise AI adoption, the rise of agentic systems, and why most organizations are still stuck in read-only mode. Dev breaks down how Rubrik's Agent Rewind brings safety, observability, and resilience to AI-driven actions, solving the “Oh no, the agent deleted production data” problem before it happens. From deep learning's evolution to the massive gap between consumer AI enthusiasm and enterprise risk posture, this conversation is a candid, insightful look at the AI future Global 2000 companies are racing toward… or cautiously tiptoeing into.Show Highlights(00:25) Understanding Rubrik and Agent Rewind(00:50) Challenges in AI and Disaster Recovery(01:27) Guest Introduction: Dev Rishi from Rubrik(01:44) The Evolution of AI in Enterprises(02:33) Starting an AI Company: The Backstory(05:10) Generative AI and Its Impact(07:15) Enterprise AI Trends and Challenges(08:56) The Future of Agentic AI(18:03) AI in Customer Support(22:03) Rubrik's Acquisition and AI Strategy(29:30) Launching Rubrik Agent Cloud(31:26) Lessons from Starting a Machine Learning Company(35:25) Conclusion and Contact InformationSponsor:Rubrik: https://www.rubrik.com/sitc

Amazon Web Services (AWS) has made significant advancements in artificial intelligence (AI) at its reInvent event, introducing a new AI training chip, Trainium 3, which reportedly enhances performance for AI training and inference by up to four times while reducing energy consumption by 40%. Additionally, AWS launched new features in its Agent Core platform, allowing developers to set boundaries for AI agents and log user interactions. The introduction of customizable AI models through the new service, NovaForge, aims to make AI model development more accessible for businesses, addressing the high costs associated with creating models from scratch.Microsoft is facing challenges in selling its AI tools, with reports indicating a slowdown in customer adoption. Despite Microsoft's assertion that it has not lowered sales quotas for AI products, the situation highlights a broader issue: customers are struggling to see the value in AI investments due to messy data, inconsistent processes, and unclear governance. This resistance suggests that while demand for AI exists, readiness among customers remains low, presenting an opportunity for IT service providers to facilitate the transition by offering readiness assessments and governance frameworks.Managed Service Providers (MSPs) are increasingly utilizing AI, with a survey indicating that 80% have adopted AI-powered chatbots, which have improved customer support. However, one-third of MSPs report challenges in implementing AI, including high costs and a lack of internal expertise. As client expectations regarding data security rise, MSPs are deploying AI-driven threat detection solutions. The survey results indicate a commitment to leveraging AI for business transformation, but the complexity of integrating AI into existing workflows remains a significant hurdle.The surge in demand for RAM, driven by the AI industry, has led to a 500% increase in memory prices, creating a shortage of consumer-grade memory. This situation mirrors previous GPU shortages and indicates that high-performance computing components are now subject to the purchasing power of major AI companies. MSPs must prepare for ongoing volatility in hardware costs and communicate these changes to clients, adjusting budgets and refresh cycles accordingly. The evolving landscape emphasizes the need for MSPs to adopt a structured approach to AI, ensuring they are not merely adding tools but effectively transforming their service offerings. Four things to know today00:00 AWS Expands Full-Stack AI Strategy From Chips to Private Regions, Raising Governance and Lock-In Stakes for MSPs07:38 Reports of AI Sales Friction at Microsoft Highlight Market Hesitation and Open the Door for MSP Readiness Services09:28 Survey Shows AI Adoption Surging Among MSPs, Yet Cost, Expertise, and Security Pressures Undercut True Transformation11:51 AI-Driven RAM Shortage Forces MSPs to Reforecast Budgets as Prices Spike 500%This is the Business of Tech.    Supported by:  https://mailprotector.com/mspradio/

Send us a textComedy can tell the truth about tech faster than a slide deck—and Jason Yeager proves it. We sit down with the creator behind MyTechCEO  to unpack how satire, timing, and taste can outperform dry explainers, win brand partnerships, and build a loyal audience without resorting to shock value. If you've wondered how to make complex ideas irresistible to watch and easy to share, this conversation lays out a practical path.Jason breaks down the engine behind rapid growth: a smart blend of evergreen jokes and trend-driven content that lands while the market is paying attention. We talk through why AWS, Microsoft, and crypto brands back a satirical format, what they're buying beyond impressions, and how a distinct voice carves space in a crowded feed. We also dig into the AI hype cycle. Jason's take is clear: AI won't replace creators with taste. As machine-made sludge rises, audiences will seek real, human judgment. Use AI to raise quality, speed edits, and spot patterns—then let your taste make the final call.We go deeper on credibility: how to avoid becoming a meme page, why negative bait erodes trust, and how careful idea selection builds staying power with founders and VCs. Jason shares how his operator background shapes content strategy, how audience reactions reveal the psychology of tech (especially around AGI anxiety), and how to evolve a media brand into products without leaning on weak “shill” tactics. For builders, we map a playbook for using AI-native and no-code tools to go from idea to prototype faster, while keeping narrative sharp and audience-first.If you care about creator strategy, startup storytelling, and the future of media in the AI age, you'll leave with tactics you can use today. Follow Jason at MyTechCEO and European Kid on Instagram, then subscribe to the show, share with a founder friend, and drop a review so more curious builders can find us.This episode was recorded in the official podcast booth at Crypto Content Creator Campus (CCCC) at the Carlos Lopes Pavillion (Lisbon) on November 15, 2025. Check the video footage, read the blog article and show notes here: https://webdrie.net/from-satire-to-strategy-how-my-tech-ceo-scales-with-timing-trends-and-taste-with-jason-yeager/..........................................................................

Raviteja Yelamanchili shares how Scale AI transformed banking cycles from one year to real-time and why your most valuable enterprise data isn't being collected.Topics Include:Scale evolved from data annotations company to enterprise AI solutions providerHealthcare system transformed patient transcriptions into value using reinforcement learning researchBlank slate customer problems allow Scale to experiment with latest methodsMany customers propose solutions before explaining their actual underlying business problemsBiggest AI misconception: technology will replace jobs rather than augment productivityDon't wait for perfect AI—start learning through iteration and evolution nowBanking credit cycle transformed from one-year process to real-time strategic insightsScale deploys flexibly across EC2, EKS, or Bedrock based on customer requirementsEnterprises want business value generation more than academic research papers aloneNext 12-24 months focus: making data consumable and leveraging unused datasetsTribal knowledge from experienced SMEs represents most valuable yet uncollected dataAgent-based learning captures expertise through feedback loops on Scale's SGP platformParticipants:Raviteja Yelamanchili - Head of Solution Engineering, Scale AISee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Live from the iconic Venetian in Las Vegas, we're rolling out an exclusive mini-series dedicated to AWS re:Invent 2025!Tune in as we sit down with AWS visionaries and take the pulse of the industry on everything shaping the future, Cloud innovation, GenAI, Agents, and the hottest trends making waves.And because what happens in Vegas doesn't always stay in Vegas, we'll spill the latest news, insider buzz, and a little Strip-side gossip to keep things spicy.Dave, Esmee, and Rob bring a double-feature conversation on industry innovation—first with Rob Boetticher, Global Technology Leader for Automotive and Manufacturing, followed by Howard Gefen, GM of the Energy and Utilities Industry Business Unit at AWS. TLDR00:42 – Rob Boetticher & Howard Gefen introduced02:00 – Rob's keynote highlights07:52 –  The future of automotive innovation with Rob23:32 – Tech fiction examples25:59 – Howard Gefen introduced28:00 – Howard's keynote highlights31:04 – Howard on the future of Energy and Utilities50:14 – Tech fiction examples GuestRob Boetticher: https://www.linkedin.com/in/robert-boetticher/Howard Gefen: https://www.linkedin.com/in/hgefen/ HostsDave Chapman:  https://www.linkedin.com/in/chapmandr/Esmee van de Giessen:  https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan:  https://www.linkedin.com/in/rob-kernahan/ ProductionMarcel van der Burg:  https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman:  https://www.linkedin.com/in/chapmandr/ SoundBen Corbett:  https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:   https://www.linkedin.com/in/louis-corbett-087250264/ 'Cloud Realities' is an original podcast from Capgemini

Live from the iconic Venetian in Las Vegas, we're rolling out an exclusive mini-series dedicated to AWS re:Invent 2025!Tune in as we sit down with AWS visionaries and take the pulse of the industry on everything shaping the future, Cloud innovation, GenAI, Agents, and the hottest trends making waves.And because what happens in Vegas doesn't always stay in Vegas, we'll spill the latest news, insider buzz, and a little Strip-side gossip to keep things spicy. Dave, Esmee, and Rob kick off their conversation with Tanuja Randery, Managing Director for Europe, the Middle East & Africa (EMEA), diving into cloud innovation and the call to re:Accelerate Europe. TLDR00:49 – Introduction to Tanuja Randery03:29 – Keynote highlights with Tanuja and a deep-dive conversation31:00 – Imaginary tech and Star Trek GuestTanuja Randery: https://www.linkedin.com/in/tanuja-randery/ HostsDave Chapman:  https://www.linkedin.com/in/chapmandr/Esmee van de Giessen:  https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan:  https://www.linkedin.com/in/rob-kernahan/ ProductionMarcel van der Burg:  https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman:  https://www.linkedin.com/in/chapmandr/ SoundBen Corbett:  https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:   https://www.linkedin.com/in/louis-corbett-087250264/ 'Cloud Realities' is an original podcast from Capgemini

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

In this episode of Weld Wednesday with AWS, I sit down with Andrew Brown, host of The Lost Art of Skilled Trades Podcast, live from FABTECH 2025 in Chicago. Andrew and I dig into the real numbers behind the Skilled Trades shortage — including the projected need for over 320,000 welders by 2029 and the retirement wave that could pull more than 157,000 welders out of the industry in the next decade. I share how I first discovered the workforce gap when I moved into teaching, and Andrew breaks down why so many companies are struggling to connect with Gen Z. We talk about wage issues, soft skills, entry-level expectations, and why companies can't just post an ad and expect welders to line up anymore. We also get into a topic that both of us feel strongly about: mentorship vs. gatekeeping. I talk openly about my own early struggles finding someone willing to teach me, and Andrew explains why passing knowledge down is critical if we want the next generation to succeed. We wrap up with a discussion on automation, co-bots, and why welders, pipefitters, ironworkers, and aerospace fabricators continue to be irreplaceable in a world that's becoming more digital every year. If you care about the future of the welding workforce, this is an important conversation.   To get involved with AWS click here   

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  

Ned and Kyler sit down with Deana Solis, a freelance FinOps engineer and mentor. They discuss the undervalued skills of communication, look at the inherent biases and misplaced confidence of AI models, and offer guidance for those starting their careers. Deana also talks about her journey to discover the intersection of technology, career, and finding... Read more »

In this sponsored episode recorded live at AutoCon 4 in Austin, we sit down with Peter Sprygada, Chief Architect at Itential, to discuss Itential’s on-stage announcement of FlowAI. Peter shares his journey from network engineering skeptic to AI advocate, explaining how Itential securely connects AI agents to infrastructure with enterprise-grade governance and traceability. We dive... Read more »

Ned and Kyler sit down with Deana Solis, a freelance FinOps engineer and mentor. They discuss the undervalued skills of communication, look at the inherent biases and misplaced confidence of AI models, and offer guidance for those starting their careers. Deana also talks about her journey to discover the intersection of technology, career, and finding... Read more »

Send us a textWe break down Cloudflare's outage, why a small config change caused big waves, and what better guardrails could look like. We then unpack AWS and Google's cross‑cloud link, Megaport's move into bare metal and GPUs, Webex adding deepfake defenses, and a new startup aiming to tune AI networks at microsecond speed.• Cloudflare outage root cause and fallout• Automation guardrails, validation and rollbacks• AWS–Google cross‑cloud connectivity preview• Pricing, routing and policy gaps to watch• Megaport acquires Latitude SH for compute• Bare metal and GPU as a service near clouds• Webex integrates deepfake and fraud detection• Accuracy risks, UX and escalation paths• Apstra founders launch Aria for AI networks• Microburst telemetry, closed‑loop control and SLAsIf you enjoyed this please give us some feedback or share this with a friend we would love to hear from you as well and we will see you in two weeks with another episodePurchase 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

Amazon's (AMZN) re:Invent 2025 event showed a key emphasis on A.I. and AWS, says Steven Dickens, though he also points to the company's in-house chip development as another takeaway investors can't miss. The company is making the maneuvers as it seeks to use A.I. to boost efficiency and ad sales. However, Steven makes the case that potential gains for Amazon will not hurt Nvidia (NVDA). Tom White offers an example options trade for Amazon. ======== Schwab Network ========Empowering every investor and trader, every market day.Options involve risks and are not suitable for all investors. Before trading, read the Options Disclosure Document. http://bit.ly/2v9tH6DSubscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

Live from the iconic Venetian in Las Vegas, we're rolling out an exclusive mini-series dedicated to AWS re:Invent 2025!Tune in as we sit down with AWS visionaries and take the pulse of the industry on everything shaping the future, Cloud innovation, GenAI, Agents, and the hottest trends making waves. And because what happens in Vegas doesn't always stay in Vegas, we'll spill the latest news, insider buzz, and a little Strip-side gossip to keep things spicy. Dave, Esmee, and Rob start their conversation with Chandra Pinapala, Director Global Strategic Partners, to explore why strong partnerships are essential for success in Cloud and AI. TLDR00:40 – Back in Las Vegas with highlights from the AWS re:Invent 2025 keynote12:07 – Meet Chandra Pinapala and dive deep into the conversation35:10 – A playful leap into the world of fiction GuestChandra Pinapala: https://www.linkedin.com/in/chandrapinapala/ HostsDave Chapman:  https://www.linkedin.com/in/chapmandr/Esmee van de Giessen:  https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan:  https://www.linkedin.com/in/rob-kernahan/ ProductionMarcel van der Burg:  https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman:  https://www.linkedin.com/in/chapmandr/ SoundBen Corbett:  https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:   https://www.linkedin.com/in/louis-corbett-087250264/ 'Cloud Realities' is an original podcast from Capgemini

Live from the iconic Venetian in Las Vegas, we're rolling out an exclusive mini-series dedicated to AWS re:Invent 2025!Tune in as we sit down with AWS visionaries and take the pulse of the industry on everything shaping the future, Cloud innovation, GenAI, Agents, and the hottest trends making waves.And because what happens in Vegas doesn't always stay in Vegas, we'll spill the latest news, insider buzz, and a little Strip-side gossip to keep things spicy. Dave, Esmee, and Rob continue their conversation with Tim Murnin, Head of Industry & Partner Strategy at AWS, exploring the evolving role of the CIO, adoption delays, and how trends vary across different sectors. TLDR00:36 – Welcome back with Tim Murnin and the team's highlights from the AWS re:Invent 2025 keynote08:04 – In-depth conversation with Tim, exploring key insights32:05 – Where fact meets fiction, including a look at the flying carGuestTim Murnin: https://www.linkedin.com/in/timmurnin/ HostsDave Chapman:  https://www.linkedin.com/in/chapmandr/Esmee van de Giessen:  https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan:  https://www.linkedin.com/in/rob-kernahan/ ProductionMarcel van der Burg:  https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman:  https://www.linkedin.com/in/chapmandr/ SoundBen Corbett:  https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:   https://www.linkedin.com/in/louis-corbett-087250264/ 'Cloud Realities' is an original podcast from Capgemini

Ned and Kyler sit down with Deana Solis, a freelance FinOps engineer and mentor. They discuss the undervalued skills of communication, look at the inherent biases and misplaced confidence of AI models, and offer guidance for those starting their careers. Deana also talks about her journey to discover the intersection of technology, career, and finding... Read more »

Amazon brings AI customization to its AWS clients with Nova Forge, and Apple changes up its AI leadership as John Giannandrea announces his retirement.Starring Jason Howell and Tom Merritt.Links to stories discussed in this episode can be found here. Hosted on Acast. See acast.com/privacy for more information.

Take a Network Break! We start with listener follow-up on Fortinet’s vulnerability numbering, and sound a red alert about an authentication bypass vulnerability in ASUS's AiCloud service. AWS and Google announce a joint cross-cloud interconnect offering (other cloud providers are invited to play), Microsoft and Ciena pitch a new design to boost optical network resiliency,... Read more »

Carl Quintanilla, Sara Eisen, and Michael Santoli kicked off the hour with a check on how the consumer's held up this holiday season according to alternative data sources and earnings reports - before breaking down what it all means for stocks with Truist Wealth's Chief Investment Officer. Plus: is the Bitcoin bottom in? Or is there more pain to come - the CEO of crypto trading platform Bullish gave his take on the action... before the team turned to gold with TD's Global Head of Commodity Strategy, who argues there's better bets for the new year elsewhere.  Also in focus: Apple's AI shake-up, OpenAI's "Code Red", and Amazon's new AWS plans... The team discussed all 3 headlines, and what it means for shares alongside the broader markets. Squawk on the Street Disclaimer Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Take a Network Break! We start with listener follow-up on Fortinet’s vulnerability numbering, and sound a red alert about an authentication bypass vulnerability in ASUS's AiCloud service. AWS and Google announce a joint cross-cloud interconnect offering (other cloud providers are invited to play), Microsoft and Ciena pitch a new design to boost optical network resiliency,... Read more »

Take a Network Break! We start with listener follow-up on Fortinet’s vulnerability numbering, and sound a red alert about an authentication bypass vulnerability in ASUS's AiCloud service. AWS and Google announce a joint cross-cloud interconnect offering (other cloud providers are invited to play), Microsoft and Ciena pitch a new design to boost optical network resiliency,... Read more »

In a keynote address from re:Invent, McKinsey & Company's Lareina Yee shares fascinating data, trends and best practices on AI adoption, the future of skillsets, and leadership insights that are needed for AI transformation at scale.Topics Include:Over 80% of companies have adopted AI in at least one business function currently.Despite heavy investment, 62% of companies remain in experimental or pilot phases with AI.Only 7% of organizations have achieved full-scale AI implementation, up from 2% earlier this year.Agentic AI has proliferated rapidly across functions from knowledge management to manufacturing in one year.Between 45% and 5% of companies have implemented AI agents across different business functions today.AI's productivity potential represents $4.4 trillion in economic value beyond just cost savings opportunities.Innovation ranks as the number one goal for AI investments, ahead of cost reduction priorities.Employee satisfaction, customer satisfaction, and competitive differentiation drive AI adoption alongside revenue growth and cost.High AI performers view implementation as total enterprise transformation, not just technology deployment projects.Leading companies spend 4.9 times more budget on AI investments compared to average performing organizations.Traditional software stacks evolved to SaaS, now transforming into AI-ready tech stacks within one generation.Job outlook remains mixed: 32% expect losses, 13% expect increases, 43% see no major change.Since 2023, significant skill shifts show increased demand for software development and business intelligence capabilities.AI fluency has increased seven times as the most sought-after skill across all job types.AI fluency means using AI in everyday work, not building models or creating large language models.Skills like driving records, coaching, customer service, and management remain harder to automate with current AI.Transactional, data-driven repetitive tasks like inventory management and invoicing face highest automation exposure currently.Historical technology revolutions like electricity created six to eight jobs for every one job displaced.New roles like prompt engineering emerge, requiring skills like effective questioning rather than technical coding.Participants:Lareina Yee - Director of Technology Research, McKinsey & CompanySee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

In this episode of the Technology & Security podcast, host Dr. Miah Hammond-Errey is joined by Kate Carruthers. Kate is currently the head of data analytics and AI at the Australian Institute of Company Directors. She shares her journey from defending Westfield against state and non-state cyber attacks to leading UNSW's enterprise data, AI, and cybersecurity efforts, including delivering the university's first production AI system in 2019 and re-architecting its cloud data platform for AI and ML. She notes boardrooms are evolving from basic cyber literacy to probing AI risks like models, data, and risk registers.  Carruthers outlines some real-world examples, such as UNSW's enterprise AI program, including a machine learning model that predicted which students were likely to fail a course, with 95%+ accuracy, so the university could design careful, humane intervention protocols to reduce self-harm risk. She argues that while frontier models like OpenAI and Gemini have a place, their compute costs, water intensity and general-purpose design make them poorly suited to some business problems, and that the future lies in smaller, industry-specific models trained on highly relevant data. The conversation covers the rise of agentic AI coding tools, the risk of deskilling junior developers, and the need for diverse, product-focused teams to translate technical systems into workable human processes.​ On security, she prioritizes CIA triad integrity over confidentiality, warning of data alterations in cars, medical devices, and government systems via poisoning or underinvestment in encryption. Carruthers urges Australian AI sovereignty—opting for open-source like Databricks over proprietary stacks—amid US-China model contrasts and outage risks from providers like AWS or CrowdStrike. Throughout, she encourages leaders not just to read about AI but to use multiple systems themselves, understand their limitations as probabilistic tools in deterministic business environments, and ground every deployment in clearly defined problems, ethics, and user needs.​

AWS Morning Brief for the week of December 1st, with Corey Quinn. Links:Protect sensitive data with dynamic data masking for Amazon Aurora PostgreSQLAmazon CloudFront announces support for mutual TLS authenticationAmazon EC2 announces interruptible Capacity ReservationsIntroducing guidelines for network scanningPractical implementation considerations to close the AI value gapEverything you don't need to know about Amazon Aurora DSQL: Part 4 – DSQL componentsSimplify data integration using zero-ETL from self-managed databases to Amazon RedshiftAutomatic quota management is now AWS Service Quotas adds support for automatic quota managementAnnouncing Amazon Route 53 Accelerated Recovery for managing public DNS recordsAnnouncing Unused NAT Gateway Recommendations in AWS Compute OptimizerAmazon EKS introduces Provisioned Control PlaneAWS Finally Lets You Find Your Idle NAT Gateways

AWS Principal Solutions Architect Wallace Printz explains how agents are reshaping SaaS business models, pricing strategies, and technical architectures.Topics Include:Wallace Printz discusses agentic workloads transforming SaaS with largest AWS customersNew interaction models include generative UI, voice agents, and proactive workAgents extending SaaS products to interact with external systems and businessesVirtual teammates enabling cross-department collaboration and upskilling non-expert users effectivelyMonetization strategies evolving as predictable costs become variable with agentsThree patterns: dedicated agents, shared agents, and multi-tenant personalized agentsMulti-tenant agents enable hyper-personalized experiences using individual tenant context enrichmentAgent-centric business strategy requires real assessment beyond AI hype cycleAgent orchestration complexity grows with multiple specialized agents interacting togetherTenant isolation requires JWT tokens and AWS Bedrock Agent Core identityCost-per-tenant management needs LLM throttling, tiering, and unified control planeMulti-tenancy creates sticky personalized experiences; AWS white paper releasing soonParticipants:Wallace Printz - Principal Solution Architect, 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/

Alphabet (GOOGL) and Amazon (AMZN) are combining Google Cloud and AWS to form one super service that aims to benefit both companies and ensure more security. Marley Kayden explains how the partnership works and the shift it indicates for cloud servicers ahead. As Marley explains, Salesforce (CRM) is one of the first companies to test out the tech. ======== Schwab Network ========Empowering every investor and trader, every market day.Options involve risks and are not suitable for all investors. Before trading, read the Options Disclosure Document. http://bit.ly/2v9tH6DSubscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/ About Schwab Network - https://schwabnetwork.com/about

Summary del Show: • Wall Street inicia diciembre con tono negativo y foco en el ISM y en la reunión de la Fed del 10 de diciembre. • $AMZN y $GOOGL presentan un servicio conjunto que une AWS y Google Cloud en una arquitectura multicloud interoperable. • Merck $MRK muestra en CTAD avances prometedores en dos terapias experimentales contra el Alzheimer. • TotalEnergies $TTE vende 40% de licencias offshore en Nigeria a Chevron $CVX, fortaleciendo su alianza energética global.

The Information's Kevin McLaughlin talks with TITV Host Akash Pasricha about what to expect at AWS re:Invent, Amazon's Nova AI model, and the dynamics of their $8 billion investment in Anthropic. We also talk with Reporter Qianer Liu about how China is forcing a full breakup from the US AI ecosystem and pushing domestic chip adoption, and Board CEO Brynn Putnam about the blend of physical and digital play with her new gaming console, Board. Lastly, we get into the secret to Flighty's real-time accuracy with CEO Ryan Jones, and the evolution of Birdies' holiday sales strategy with Co-founder Bianca Gates.Articles discussed on this episode:https://www.theinformation.com/articles/informations-2025-gift-guidehttps://www.theinformation.com/articles/china-want-buy-nvidia-chipshttps://www.theinformation.com/articles/aws-beats-ai-drum-vegashttps://www.theinformation.com/articles/aws-preps-new-ai-models-relations-anthropic-get-complicatedTITV airs on YouTube, X and LinkedIn at 10AM PT / 1PM ET. Or check us out wherever you get your podcasts.Subscribe to: - The Information on YouTube: https://www.youtube.com/@theinformation- The Information: https://www.theinformation.com/subscribe_hSign up for the AI Agenda newsletter: https://www.theinformation.com/features/ai-agenda

Industry leaders from Boomi, Demandbase and Smarsh share hard-won lessons on balancing AI creativity with guardrails, why data quality trumps frameworks, and deploying AI at scale.Topics Include:Three industry leaders share experiences building AI solutions at Boomi, Demandbase, and Smarsh.Smarsh manages trillion communications for financial services, detecting bad actors across multiple channels.Boomi built agent studio, garden, and control tower while spawning 33,000 internal agents.Chris Timmerman used vibe coding to build embeddable Boomi in five months solo.Companies balance creativity with guardrails, starting with IT policies before unleashing innovation.Internal adoption driven by empowering teams to build their own solutions versus top-down.Demandbase saw 70% adoption within six months through grassroots approach and local champions.Measuring success proves challenging, comparable to tracking Excel usage rather than specific KPIs.Companies focus on outcomes like touch-free bug fixes and support metrics versus raw usage.Biggest lesson: Data quality and context determine success more than agentic frameworks.Need scaling framework from low-risk UX improvements to high-risk automation with appropriate guardrails.Industry created fatigue by overpromising; should have started smaller with realistic expectations.Participants:Chris Timmerman – Vice President, Global Services Delivery, BoomiHarshal Dedhia – Vice President of AI, DemandbaseBrandon Carl - Executive Vice President of AI and Product Strategy, SmarshAllison Johnson - AMER Technology Partnerships Leader, 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/

A Black Friday se tornou o maior teste de estresse para qualquer operação digital e, cada vez mais, a diferença entre perder clientes e aproveitar o pico está na capacidade de escalar, analisar dados em tempo real e oferecer um atendimento realmente humano. No novo episódio do Podcast Canaltech, produzido em parceria com a AWS, conversamos com Alexandre Nardi, Solutions Architect Manager da empresa, sobre como IA generativa, computação em nuvem e análise de dados estão redefinindo o varejo e orientando decisões mais rápidas e eficientes. Ao longo da entrevista, Nardi explica como a AWS ajuda negócios a: Delegar o “trabalho pesado” para a nuvem Escalar ambientes sem risco de queda em picos como a Black Friday Personalizar o atendimento com agentes de IA que usam o tom de voz da marca Transformar dados de estoque, vendas e comportamento do cliente em ações práticas Reduzir custos e aumentar margem usando IA de forma estratégica Utilizar soluções como Amazon Bedrock e Amazon Q Developer no dia a dia O episódio também traz o case da IEL GO, que usou o Amazon Bedrock para acelerar entrevistas e melhorar processos de avaliação de candidatos com apoio de IA generativa, mantendo o especialista humano no centro da decisão. Clique aqui e acesse um E-book com as melhores práticas para a Black Friday e fale diretamente com um especialista da AWS para aplicar essas estratégias no seu negócio. Você também vai conferir: Nova picape elétrica da Ford quer peitar a BYD, Intel revela primeiros detalhes do Wi-Fi 8, companhias aéreas proíbem uso de power banks a bordo, Crianças viram alvo de apps-espiões e Photoshop chega ao Chrome com extensão oficial. Este podcast foi roteirizado por Fernada Santos e apresentado por Fernanda Santos e Adriano Ponte e contou com reportagens de Danielle Cassita, Raphael Giannotti,Jaqueline Sousa e Viviane França, sob coordenação de Anaísa Catucci. A trilha sonora é de Guilherme Zomer, a edição de Jully Cruz e a arte da capa é de Erick Teixeira.See omnystudio.com/listener for privacy information.

AWS's approach to Elastic Kubernetes Service has evolved significantly since its 2018 launch. According to Mike Stefanik, Senior Manager of Product Management for EKS and ECR, today's users increasingly represent the late majority—teams that want Kubernetes without managing every component themselves. In a conversation onThe New Stack Makers, Stefanik described how AI workloads are reshaping Kubernetes operations and why AWS open-sourced an MCP server for EKS. Early feedback showed that meaningful, task-oriented tool names—not simple API mirrors—made MCP servers more effective for LLMs, prompting AWS to design tools focused on troubleshooting, runbooks, and full application workflows. AWS also introduced a hosted knowledge base built from years of support cases to power more capable agents.While “agentic AI” gets plenty of buzz, most customers still rely on human-in-the-loop workflows. Stefanik expects that to shift, predicting 2026 as the year agentic workloads move into production. For experimentation, he recommends the open-source Strands SDK. Internally, he has already seen major productivity gains from BI agents that automate complex data analysis tasks.Learn more from The New Stack about Amazon Web Services' approach to Elastic Kubernetes ServiceHow Amazon EKS Auto Mode Simplifies Kubernetes Cluster Management (Part 1)A Deep Dive Into Amazon EKS Auto (Part 2)Join 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.

AWS outage botnet smacks 28 countries LLMs help malware authors evade detection Anthropic questioned over Claude espionage Huge thanks to our episode sponsor, KnowBe4 Cybersecurity isn't just a tech problem—it's a human one.   That's why KnowBe4's Human Risk Management platform allows you to measure, quantify and actually reduce human risk across your organization.   With AI-powered risk scoring, automated coaching and reporting, HRM+ helps you surface your highest risk users and reduce the risk of data breaches and cyberattacks proactively. Ready to move from awareness to action? Request a demo of HRM+ today at knowbe4.com.

Nick Johnston is the Senior Vice President of Strategic Partnerships & Business Development at Salesforce, where he leads strategic relationships with major technology companies including OpenAI, Anthropic, AWS, Google, IBM, and Workday. In this conversation recorded during Dreamforce 2025, Nick shares how Salesforce closed 12,500 Agentforce deals and navigated the complexities of announcing major partnerships like the expanded OpenAI integration that brings Salesforce's Agentforce 360 directly into ChatGPT. He reveals his unique approach to building win-win partnerships grounded in customer demand rather than competitive positioning.Key Topics Covered:How Salesforce builds customer-driven partnerships with tech giants like OpenAI, Anthropic, AWS, and GoogleThe three core hiring values that create high-performing partnership teams: low ego, high curiosity, and gritWhy uncomfortable conversations are essential for building trust and creating impactful partnershipsUsing AI tools to position partnership proposals and draft joint press releases with strategic clarityThe Dreamforce partnership strategy and how compelling events drive deal executionCareer lessons from coaching varsity football wide receivers and celebrating team achievement over personal winsLiving in Buenos Aires for six months and the value of full cultural immersion for partnership workWhy getting customer-facing experience early in your career is the best foundation for any roleThe interview question that reveals hero culture versus team players in partnership rolesBalancing partnership work across multiple departments including product, marketing, operations, and salesHow human experience will become the ultimate competitive moat as AI automates routine tasksThe "be great" daily philosophy and applying the same standards to yourself that you set for your teamEpisode Timestamps:03:07 - From college football to coaching varsity wide receivers at Torrey Pines High School in 200605:47 - The vibes and trust mentality: lessons from undersized teams that outperform expectations07:26 - Three core hiring values: low ego, high curiosity, and grit in partnership teams09:15 - Six months in Buenos Aires learning Spanish through full immersion with Spencer Stuart12:49 - Customer-driven partnership strategy: building frameworks from market demand to product integration16:15 - The customer-centric approach at Dreamforce and delivering the Agentforce agenda with partners18:04 - Using AI to write joint press releases, position partnerships, and create mutually beneficial proposals21:27 - Career advice for new graduates: get as close to the customer as possible in sales or customer success roles24:56 - Why human experience and the arts will be the ultimate differentiator as AI automates work28:02 - Parenting lessons and the "be great" daily motto for building confidence and pushing through challenges29:06 - Why do you do what you do: achieving hard things in team settings and making family proudAbout Nick JohnstonNick Johnston is the Senior Vice President of Strategic Partnerships & Business Development at Salesforce, where he has spent over 12 years advancing from Customer Success Director to leading strategic technology partnerships. He holds an MBA from UC Berkeley Haas School of Business and a BA with honors in International Relations from UC Davis, where he also played college football. Nick has been instrumental in establishing major partnerships with OpenAI, Anthropic, AWS, Google, IBM, Workday, and other leading technology companies to deliver integrated customer experiences through Salesforce's Agentforce 360 platform.ransformation and agentic AI.Partner Links:Book Enterprise Training — **https://www.upscaile.com/**Subscribe to our free newsletter — **https://www.theaireport.ai/subscribe-theaireport-youtube**

Accelerating cloud adoption to drive innovation across domains like space, identity, and naval systems presents unique challenges. Success depends on aligning organizational culture, governance, financial models, and regulatory frameworks to enable collaboration, scalability, and software-defined capabilities.  This week, Dave, Esmee, and Rob speak with Danny Polaine, Chief Information Officer at Thales, about the strategic shift to cloud technologies in a high-security sector like defense and the unique challenges that come with it. TLDR:00:52 – Introduction to Danny Polaine03:35 – Rob is confused about the AI privacy dilemma07:40 – Exploring tech in high-security sectors with Danny35:34 – The biggest challenge isn't tech, it's people adapting to new ways of working44:55 – Reflections on the CIO role and a fun story about singing waiters at a wedding Guest Danny Polaine: https://www.linkedin.com/in/danny-polaine-5713454/?originalSubdomain=uk  HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/ ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/ SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:  https://www.linkedin.com/in/louis-corbett-087250264/ 'Cloud Realities' is an original podcast from Capgemini

Recorded live at AutoCon4, William Collins and Eyvonne Sharp join forces with John Capobianco for some in the moment thoughts and reflections on the AutoCon experience – from the in-person connections to the workshops to the stage presentations.  John gives us the inside story on his very own workshop and the latest version releases in... Read more »

For this month's Retail Tech Startup of the Month, AWS's Daniele Stroppa returns to spotlight SymphonyAI, a groundbreaking computer vision solution that's improving how retailers tackle the costly out-of-stock problem. SymphonyAI leverages existing in-store cameras to deliver something retailers have been missing: actionable, prioritized worklists that tell associates exactly what to fix first to maximize sales impact. No more drowning in dashboards, just clear direction that drives results. Daniele breaks down how retailers are achieving 25% increases in labor productivity and 5-7% improvements in on-shelf availability, proving this isn't just another tech demo, it's a boon for physical retail operations.

從半導體到雲端服務，科技巨頭的競爭思維正在改變。2025年，亞馬遜資本支出預計達千億美元，成為科技四大巨頭中投資金額最高的一家，大膽決策的背後，是否意味AI產業已進入關鍵轉折點？ 傳統硬體時代講究「產品藍圖」，可預測三到五年技術演進；但雲端與AI時代需要的是「旅程思維」，透過數據驅動、快速迭代來應對市場變化。為什麼亞馬遜早在20多年前就開始AI佈局？從自動化倉儲、無人商店到對話式購物助理Rufus，如何用客戶需求倒推技術發展？ 這集來賓是AWS台灣暨香港總經理王定愷，他曾在Intel深耕硬體產業多年，轉戰AWS後看見截然不同的商業邏輯。他將分享亞馬遜如何用「飛輪效應」持續創新？為何堅持「積木式平台」不綁定單一AI模型？面對OpenAI、Google爭搶AI入口，亞馬遜選擇不同的差異化策略，這又將為台灣供應鏈帶來什麼新商機？ 主持人：天下雜誌總編輯 陳一姍 來賓：AWS台灣暨香港總經理 王定愷 製作團隊：樂祈、邱宇豪 ＊開啟鈴鐺，12/10中午12:30「決策者・聽天下」YouTube直播，搶先看懂2026年經濟解讀：https://youtube.com/live/kLv_dM0fTs4?feature=share ＊延伸閱讀｜亞馬遜AI晶片逆襲輝達！世芯股價飆、緯穎吃大單，台廠還有誰受惠？：https://lihi.cc/w5Iys ＊立即收聽《CEO的修煉場》：https://hi.cw.com.tw/u/jqveRdb/ ＊意見信箱：bill@cw.com.tw -- Hosting provided by SoundOn

With increased AI Adoption, is the most valuable skill for a modern marketer empathy with customers, or is it successfully prompting? Contentful, in partnership with Atlantic Insights, The Atlantic's marketing research division, recently conducted a study of over 425 marketing decision makers including 103 CMOs. This study, “When Machines Make Marketers More Human,” challenges the notion that AI will replace many marketing functions and instead demonstrates how AI can amplify marketers' effectiveness, creativity and impact. Today, we're going to talk about how AI is reshaping the very definition of a modern marketer. We'll explore the shift from simply automating tasks to augmenting human creativity, the rise of the ‘full stack' marketer, and what skills are becoming non-negotiable in an AI-driven world.To help me discuss this topic, I'd like to welcome, Elizabeth Maxson, CMO at Contentful. About Elizabeth Maxson Elizabeth Maxson is the Chief Marketing Officer of Contentful, a content management platform trusted by more than 4,200 companies around the world. Elizabeth brings nearly two decades of integrated marketing leadership to the role and is focused on driving marketing strategies that leverage AI and personalization to help brands deliver personalized and scalable content to their audiences. Prior to Contentful, Elizabeth served as the Chief Marketing Officer at Tableau, a Salesforce company, where she led go-to-market strategy, drove end-to-end marketing initiatives, and spearheaded strategic technology partnerships, launching critical relationships with industry giants such as AWS, Google, Alibaba, Apple, and many others. In addition to her role at Tableau, Elizabeth has also served as the Head of Marketing at Quip, another Salesforce acquisition. She holds a BAA in Facility Management and Marketing from Central Michigan University. ,Yes,This will be completed shortly Elizabeth Maxson on LinkedIn: https://www.linkedin.com/in/emaxson/ Resources Contentful: contentful.com The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow Catch the future of e-commerce at eTail Palm Springs, Feb 23-26 in Palm Springs, CA. Go here for more details: https://etailwest.wbresearch.com/ Contentful, in partnership with Atlantic Insights, The Atlantic's marketing research division, conducted a new study, When Machines Make Marketers More Human, challenging the notion that AI will replace many marketing functions and instead demonstrates how AI can amplify marketers' effectiveness, creativity and impact. They surveyed 425 marketing decision makers, including 103 CMOs, across industries, company sizes, and regions to show how forward-thinking marketing leaders are incorporating AI into their critical infrastructure. Get the report hereConnect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.showCheck out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com  The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company