Podcasts about aws

Want our guide to master AI Agents? Get it here: https://clickhubspot.com/bka Episode 76: What actually makes something a real "AI Agent"—and how close are we to AI handling complex work entirely on its own? Matt Wolfe (https://x.com/mreflow) is joined by Deepak Singh (https://x.com/mndoci), Vice President at AWS and leader of Amazon's Agentic AI infrastructure teams. With over 17 years at Amazon and a PhD in theoretical chemistry, Deepak brings unparalleled insights into the development and future of AI agents, from early neural networks to today's autonomous multi-agent systems. In this episode, the conversation breaks down the hype vs. reality of AI agents. Deepak shares how AWS is pioneering true agentic AI—systems that use LLM-powered reasoning, autonomy, and reflection to tackle everything from Formula One race analytics to massive code migrations and breakthrough drug discovery. You'll also learn how even small businesses can start leveraging agentic tools today, the rise of new agent standards like MCP and A2A, and why skills in articulating and breaking down problems are more valuable than ever for future-proofing your career. Check out The Next Wave YouTube Channel if you want to see Matt and Nathan on screen: https://lnk.to/thenextwavepd — Show Notes: (00:00) AI Agents: Transforming Industries (03:58) Generative AI's Everyday Impact (06:39) Generative AI's Creative Potential (12:30) Autonomy in Software Development Agents (14:58) Agentic AI's Evolving Impact (19:26) Iterative Agent Decision-Making (21:53) Agent Core: Future of Agent Identity (23:15) Lower Barriers, Autonomous Agents (28:20) Ensuring Safe and Accurate Outputs (31:42) MCP: Standardizing LLM Tool Access (34:39) Real-World AI Applications for Business (36:50) Efficient Call Response Systems (42:31) Effective Problem Solving with LLMs (43:48) AI Skills Over Programming Language (47:30) AI Agents Revolutionizing Work — Mentions: Deepak Singh: https://www.linkedin.com/in/dsingh/ Amazon Web Services (AWS): https://aws.amazon.com/ Amazon Bedrock: https://aws.amazon.com/bedrock/ Kiro: https://kiro.dev/ Perplexity: https://www.perplexity.ai/ Zapier: https://zapier.com/ Make.com: https://www.make.com/en Get the guide to build your own Custom GPT: https://clickhubspot.com/tnw — Check Out Matt's Stuff: • Future Tools - https://futuretools.beehiiv.com/ • Blog - https://www.mattwolfe.com/ • YouTube- https://www.youtube.com/@mreflow — Check Out Nathan's Stuff: Newsletter: https://news.lore.com/ Blog - https://lore.com/ The Next Wave is a HubSpot Original Podcast // Brought to you by Hubspot Media // Production by Darren Clarke // Editing by Ezra Bakker Trupiano

Highlights00:12 — Now on the Cloud Wars Top 10 growth chart, this is one of the great representations of this greatest growth market the world has ever known, and for about the sixth or seventh straight quarter, Google Cloud emerges as the world's hottest major cloud vendor, 32% growth, but Oracle and Microsoft were also rocking recently, and it overall shows a picture of enormous growth here.00:37 — Of the Cloud Wars Top 10 companies, only one, that was SAP, reported declining growth rate from Q1 to Q2, all the others went up. So let's take a look at those. As I said, Google Cloud up 32% to 13.6 billion, Snowflake, the smallest company on the Cloud Wars Top 10, also up 32% to 1.1 billion. Oracle was up 28% to 7.2 billion.AI Agent & Copilot Summit is an AI-first event to define opportunities, impact, and outcomes with Microsoft Copilot and agents. Building on its 2025 success, the 2026 event takes place March 17-19 in San Diego. Get more details. 01:03 — Those are nice numbers. But the big thing for Oracle is it has had just an absolutely explosive RPO. Oracle's RPO is $455 billion. Microsoft, another remarkable quarter growth rate of 27% of $46.7 billion. Now it's interesting that the quarter before that, Microsoft's growth rate was 20% so it went from 20 to 27. Google Cloud over the last two quarters, went from 28% to 32%.02:09 — Then if we look at AWS, 17.5% to 30.9 billion, excellent numbers, and in any, just about any other industry that would be seen as by far the best. But look at this growth rate, 17.5% for AWS, 27% for Microsoft, one of its major competitors, 32% growth rate, almost twice as high as AWS for Google Cloud. Yes, AWS is big, but it doesn't account for almost like a 2X difference there.03:47 — I think what we see with Google Cloud now that it's established themselves as a very high flyer here, but I think we're going to see Oracle to keep moving up. Microsoft, at the size of its revenue base, to grow 27% is extraordinary. Visit Cloud Wars for more.

On this episode of Christopher Lochhead: Follow Your Different, we welcome back Ray Wang, principal analyst and CEO of Constellation Research, for a dynamic discussion on technology's future. We explore the explosive rise of AI-native companies, the shifting global tech landscape, and the urgent need for U.S. manufacturing revitalization. Ray also highlights NVIDIA's dominance in AI, the U.S.-China tech rivalry, and challenges facing Western innovation. The conversation addresses local governance, inefficiencies in public spending, and the importance of community-focused leadership. Insightful and timely, the episode offers a candid look at the opportunities and risks shaping tomorrow's tech-driven world. You're listening to Christopher Lochhead: Follow Your Different. We are the real dialogue podcast for people with a different mind. So get your mind in a different place, and hey ho, let's go. Ray Wang on the Rise of AI Exponential Companies: Redefining Tech's Competitive Landscape The tech industry is undergoing a radical shift as “AI exponentials” redefine how companies launch, scale, and compete. Coined by Christopher Lochhead and analyst Ray Wang, these ultra-lean ventures harness artificial intelligence to achieve extraordinary efficiency, often generating tens of millions in annual recurring revenue with only a few employees. ServiceNow's rise to a $180 billion market cap illustrates the long arc of cloud innovation, but today's startups push the model further. Sites like tinyteams.xyz track firms posting up to $20 million ARR per employee, while projects such as Turbo Learn AI, built by college dropouts using only ChatGPT, AWS, and Perplexity, show how minimal capital can now create high-impact software. This “atomization” of business echoes biotech's disruption of big pharma: innovation emerges outside legacy giants, who increasingly serve merely as distribution channels. The next frontier may be one-person, billion-dollar enterprises, unleashing vast creative potential while reshaping society. Ray Wang on the White Collar Recession and the AI-Driven Future of Work Ray Wang warns that the world is entering the largest White-Collar Recession yet, driven by rapid automation and AI. Tech giants like Microsoft and Nvidia expect to double revenue without adding comparable headcount, transforming the workplace from a broad pyramid into a narrow diamond. This shift threatens entry-level and managerial roles, leaving young workers with limited opportunities and older professionals facing displacement despite valuable expertise. Rather than simple layoffs, Ray sees an evolution of work. Experienced knowledge workers, equipped with affordable, scalable tools, are more likely to launch their own ventures than climb shrinking corporate ladders. Venture capital, built for slower, capital-heavy startups, struggles to keep pace as AI founders can bootstrap to profitability. The next two years, he predicts, will usher in a golden age of AI entrepreneurship. Yet this transformation raises urgent questions about mentorship, economic mobility, and how society will adapt alongside technological progress. Geopolitical AI, the US-China Cold War, and the Battle for Humanity's Future Ray Wang casts the US–China tech rivalry as a defining struggle for humanity's future: one fought with chips, algorithms, and influence rather than weapons. He contrasts China's centralized, surveillance-driven AI model with the West's ideal of decentralized abundance and freedom. This conflict, simmering for over a decade, now plays out in debates over chip exports, data sovereignty, and social-media persuasion wars. America currently holds a three-year chip advantage through companies like Nvidia, which dominate both hardware and AI software ecosystems. But Wang warns this lead is fragile: Chinese engineers are skilled, manufacturing capacity is world-class, and Europe risks irrelevance unless it chooses a side.

In this episode, we will dive deep into Innovation Sandbox on AWS, a new AWS solution offering that transforms the management of temporary sandbox environments, by offering a ready-made solution that enables customers to reduce sandbox setup time from weeks to hours while automating spend controls, security policies, and usage monitoring. Learn how AWS customers – from Universities to Enterprises – are using the Innovation Sandbox on AWS to empower their teams to learn, experiment, and innovate faster on AWS. Product page: https://aws.amazon.com/solutions/implementations/innovation-sandbox-on-aws/ Implementation Guide: https://docs.aws.amazon.com/solutions/latest/innovation-sandbox-on-aws/solution-overview.html Source code on GitHub: https://github.com/aws-solutions/innovation-sandbox-on-aws

AWS Morning Brief for the week of September 15th, 2025, with Corey Quinn. Links:Enforcing organization-wide Amazon S3 bucket-tagging policiesECS Exec is now available in the AWS Management ConsoleAWS Control Tower now supports Internet Protocol Version 6 (IPv6)Introducing AWS CDK Refactor (Preview)Accelerate serverless testing with LocalStack integration in VS Code IDEAWS WAF now includes free WAF Vended Logs based on request volumeAWS recognized as a Leader in the 2025 Gartner Magic Quadrant for Contact Center as a Service (CCaaS) with Amazon ConnectIntroducing universal installers for AWS CLI v2 on macOS

Learn how Amazon Bedrock enabled Prophix to build enterprise-grade AI agents that transform secure CFO workflows, while delivering real-time financial intelligence through advanced agentic architecture. Topics Include:AWS and Prophix leaders discuss building autonomous AI agents for financial managementAI agents defined: autonomous systems that reason, plan, and execute tasks independentlyEvolution from simple chatbots to collaborative multi-agent systems solving complex problemsCore agent components: cognitive planning module, memory systems, and external tool integrationsProphix: 30-year financial software company serving 3,500 CFO offices globally across industriesProphix One Intelligence: platform-level AI service powering predictions, analysis, and automationCustomer concerns addressed: data privacy, role-based security, accuracy, and cost controlRejected "models in the sky" approach for AWS Bedrock's managed, controllable infrastructureAgentic architecture: LLMs generate API parameters instead of processing massive datasetsReal-time data access, automatic security inheritance, and A/B testing capabilities achievedLive demo: automated budgeting workflows, natural language queries, and autonomous task executionAWS introduces AgentCore platform to simplify agent development for enterprise customersParticipants:Anurag Yagnik – Chief Technology Officer, ProphixDeborshi Choudhury – Sr Solutions Architect – ISV, Amazon Web ServicesFurther Links:Prophix: Website | LinkedIn See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

In today's Cloud Wars Minute, I unpack how Oracle's $455B RPO surge signals a massive shift in cloud leadership.Highlights00:15 — We see across the Cloud Wars Top 10 an incredible sense of demand from businesses across the world — to help those businesses create their futures. And in fact, we've now got, just among the four hyperscalers, a pipeline totaling $1.1 trillion. We've got Oracle in the top spot there at $455 billion. Microsoft is number two in the RPO race, $368 billion.01:17 — So here, I've got the four hyperscalers with RPO and the RPO growth rate, then quarterly revenue and quarterly growth rate. Oracle is on the top, its RPO now sits at close to half a trillion dollars, with a growth rate of 359%. Microsoft: $368 billion in RPO, up a whopping 37%, off that huge base. Quarterly revenue for the Microsoft Cloud — almost $47 billion, up 27%.02:25 — AWS' RPO is now $195 billion, up about 25%. That's coming off its Q2 revenue of almost $31 billion, up 17.5%. AWS is growing more slowly than the other hyperscalers. Google Cloud: backlog $106 billion, up 38%. For Q2, Google Cloud revenue at $13.6 billion, up 32%. So it was the fastest-growing in Q1, doing very well here.03:33 — Now altogether, this adds up to $1.1 trillion. I'm just not used to saying “trillion.” Got to get more used to that as this market gets bigger. Oracle CEO Safra Catz said that there were multiple huge deals that Oracle signed for Oracle Cloud Infrastructure, and more coming. Catz said that, “We anticipate that in the near future, Oracle's RPO will reach $500 billion — half a trillion.”04:32 — Going into the future, as AI comes along and changes so much, RPO — or backlog — gives us a great idea of who the hot companies are coming up. And right now, undisputedly, that is Oracle. The other three companies are doing quite well, but I think AWS has become the “slowpoke” in this sprint that the others are undertaking. Visit Cloud Wars for more.

How did Oracle Cloud (with OpenAI) suddenly command the news cycle, with a chance to potentially overtake much larger clouds in a few years? Let's explore how Oracle's focus on bare-metal and bandwidth might have ripple effects on Cloud and AI.SHOW: 958SHOW TRANSCRIPT: The Cloudcast #958 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW SPONSORS:[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcast[Interconnected] Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. With expert guests and real-world insights, we explore the systems driving AI, automation, quantum, and more. Just search “Interconnected by Equinix”.SHOW NOTES:WHAT ARE THE ALTERNATIVE PATHS FOR AI? The Cloudcast #330 - Oracle's Next-Generation Cloud IaaSOracle Chosen as TikTok's Secure Cloud Provider- [Oracle Press Release]Oracle Cloud and OpenAI sign $300B deal - [WSJ]Oracle Cloud - [Platformnomics]Oracle and OpenAI - [Ed Zitron]FEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

Show Featured Sponsor: High Risk Environment Course  In this wide-ranging episode of the American Warrior Show, Rich Brown is joined by Cecil Burch—Brazilian Jiu-Jitsu black belt and expert in weaponized ground grappling. Together they explore not only the realities of surviving on the ground in a weapons-based environment, but also the bigger picture threats shaping our world today. Topics include: The principles of ground survival when weapons are in play Why assassinations like that of Charlie Kirk shock and destabilize a nation What the recent train attack reveals about vulnerabilities in our infrastructure How individuals can prepare mentally, physically, and tactically for turbulent times This conversation bridges the gap between technical skill on the mat and the broader issues of violence, resilience, and national security that every protector must understand. Whether you're a martial artist, armed citizen, or tactical professional, this conversation will reshape how you think about fighting where most don't want to be—the ground. Cecil Burch began training in Brazilian Jiu-jitsu in 1989 and is currently a 3rd degree black belt. Cecil Burch has been a Martial Artist and Shooter for over forty years. He has studied many different arts and has held numerous teaching credentials in several of them. Cecil has travels extensively conducting seminars across the U.S. as well as internationally. He has been a featured presenter at many tactical/defense-oriented conferences and has worked extensively with Law Enforcement officers, Federal Air Marshals, military special operation troops, and private citizens.

Money flood - insane revenue and valuation growth, AI impacting every industry, Open AI and Microsoft deal, new time compute records are changing the game, the first AI government member, and more important AI news for the week ending on September 12 2025Is AI on the verge of world domination… or an economic meltdown?This week's AI headlines weren't about shiny new model releases and that's a good thing. It gave us time to zoom out and examine the billion-dollar chess game shaping our future.From OpenAI's $115B spend-fest to the first AI government cabinet member, and from Replit's code-writing agents to copyright lawsuits with a twist — this episode is a crash course in just how *wild* and *wide* AI's reach has become.Here's your witty but grounded executive summary of the week's most impactful AI news — handpicked and broken down by your host, Isar Meitis, with direct implications for how business leaders should think, adapt, and move.In this session, you'll discover:- OpenAI's capital-intensive moonshot and why it may still not be profitable in 2030- Microsoft's unexpected pivot: From exclusive OpenAI integration to paying AWS for Claude- The first AI cabinet member in Albania here's why it might be brilliant (or backfire)- AI-made movies & TV are no longer a fantasy, OpenAI is backing a full-length feature- Funding frenzy decoded: Databricks, Replit, Perplexity, and others are raising billions- "Thinking" AI that works for hours: How new models are pushing past past limitations- 5,000 AI podcasts a week for $1 each?! The scary-fascinating rise of mass-produced audio- FTC probes AI's influence on kids and what it means for regulation & trust- AI-powered AR glasses from Amazon — coming to delivery drivers and consumers near you- Duke gives GPT-4o to all students what this means for the future of higher education- Why Apple is strangely silent on AI this year, and what it could cost themGoogle Cloud AI Agent Handbook (PDF) - https://services.google.com/fh/files/misc/ai_agents_handbook.pdfAbout 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!

Dean Teffer of Arctic Wolf reveals how they process 8 trillion weekly security observations to find "a needle in a stack of needles," and breaks down real-world GenAI lessons learned.Topics Include:Dean Teffer, VP of AI at Arctic Wolf, discusses company's GenAI journeyArctic Wolf: decade-old security operations company serving mid-market customers globallyOperates massive security operation center, now launching AI-powered productsAI agent recently identified Black Basta ransomware attack, enabling rapid containmentDean's 15+ years in cybersecurity: traditional ML focused on detectionGenAI breakthrough allows natural language interaction with security modelsArctic Wolf processes 8 trillion weekly observations, correlating suspicious activitiesChallenge: finding specific threats in "stack of needles," not haystackSuccess measured by making human analysts faster, more consistent, scalableEvolved from treating GenAI like traditional ML to integrated workflowsKey misconception: GenAI isn't magic, needs proper data and reasoningAdvice: start with existing challenges, build flexible systems for adaptationGenAI excels at summarizing information and supporting complex decisionsFuture vision: AI handles routine threats, humans focus on creativityDemocratizing machine learning capabilities to broader range of subject expertsParticipants:Dean Teffer – Vice President of AI, Arctic WolfFurther Links:Arctic Wolf: Website | LinkedIn | AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Kubernetes is flexible and customizable, but it can also be notoriously complex and difficult to deploy to. On today’s Day Two DevOps we learn about kro (Kube Resource Operator), an open-source tool that helps simplify complex application deployments. Our guest is Islam Mahgoub, a Solutions Architect at AWS focused on building kro. We talk about... Read more »

Kubernetes is flexible and customizable, but it can also be notoriously complex and difficult to deploy to. On today’s Day Two DevOps we learn about kro (Kube Resource Operator), an open-source tool that helps simplify complex application deployments. Our guest is Islam Mahgoub, a Solutions Architect at AWS focused on building kro. We talk about... Read more »

Enterprise AI Agents for Work, Service and Process: www.kore.ai Kore.ai founder and CEO Raj Koneru breaks down how enterprises are moving beyond chatbots into agentic AI that actually ships. We get into the no-code tooling behind multi-agent workflows, agentic RAG, guardrails that keep outputs in scope, and why a control layer for governance is now essential. Raj shares real scale numbers, the three Kore.ai product lanes for customer and employee experience, and how partnerships with Microsoft and AWS let teams build where they already run. If you care about building secure, explainable AI agents that integrate fast and scale cleanly, this one is for you. Stay Updated: Craig Smith on X:https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI (00:00) Raj Koneru's Journey & The Birth of Kore.ai (03:10) From Chatbots to Enterprise-Grade Agents(06:33) Security, Scale & Proof in the Market(07:04) What Agentic AI Really Means(12:16) Building & Governing AI Agents(17:26) Kore.ai's Product Lines & Differentiation(20:22) Industry Applications & Case Studies(28:17) User Experience & Change Management(34:46) Governance, Identity & Cost Controls(39:56) Adoption Timelines & Market Outlook(43:51) Roadmap & Partnerships(47:38) Future of the Enterprise AI Landscape

CyberArk's technology leader discusses their strategy for securing against AI threats, protecting agentic AI systems, and their vision for the future in an increasingly AI-driven cybersecurity landscape.Topics Include:CyberArk celebrates recent exciting news while discussing their incredible cybersecurity journeyFounded in 1999, CyberArk pioneered privilege access management and expanded into comprehensive identity securityCompany executed textbook SaaS transformation from perpetual licensing to subscription-based cloud modelLeadership set clear customer expectations, framing SaaS shift as faster innovation deliveryAddressed customer concerns about cost predictability, security compliance, and data residency requirementsTechnical team implemented lift-and-shift architecture with AWS RDS and multi-tenant improvementsCorporate initiative tracked weekly metrics and milestones throughout full development lifecycle processCustomer Success evolved from transactional support to strategic partnership embedded in security journeysAWS partnership fundamental to cloud journey with 25+ integrations and Marketplace collaborationAI strategy focuses on three pillars: using AI, securing against AI threatsFuture 12-24 months: continue securing all identities while expanding AI capabilities and solutionsAWS partnership expanding in 2025 leveraging machine identity leadership and GenAI advancesParticipants:Peretz Regev – Chief Product & Technology Officer, CyberArkBoaz Ziniman – Principal Developer Advocate - EMEA, Amazon Web ServicesFurther Links:· CyberArk: Website – LinkedIn – AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

How confident are you when your test suite goes green? If you're honest, probably not 100% confident - because most bugs come from scenarios we never thought to test. Traditional testing only catches the problems we anticipate, but the 3am pager alerts? Those come from the unexpected interactions, timing issues, and edge cases we never imagined.In this episode, Will Wilson from Antithesis takes us deep into the world of autonomous testing. They've built a deterministic hypervisor that can simulate entire distributed systems - complete with fake AWS services - and intelligently explore millions of possible states to find bugs before production. Think property-based testing, but for your entire infrastructure stack. The approach is so thorough they've even used it to find glitches in Super Mario Brothers (seriously).We explore how deterministic simulation works at the hypervisor level, why traditional integration tests are fundamentally limited, and how you can write maintainable tests that actually find the bugs that matter. If you've ever wished you could test "what happens when everything that can go wrong does go wrong," this conversation shows you how that's finally becoming possible.---Support Developer Voices on Patreon: https://patreon.com/DeveloperVoicesSupport Developer Voices on YouTube: https://www.youtube.com/@DeveloperVoices/joinAntithesis: https://antithesis.com/Antithesis testing with Super Mario: https://antithesis.com/blog/sdtalk/...and with Metroid: https://antithesis.com/blog/2025/metroid/MongoDB: https://www.mongodb.com/etcd (Linux Foundation): https://etcd.io/Facebook Hermit: https://github.com/facebookexperimental/hermitRR (Record-Replay Debugger): https://rr-project.org/T-SAN (Thread Sanitizer): https://clang.llvm.org/docs/ThreadSanitizer.htmlToby Bell's Strange Loop Talk on JPL Testing: https://www.youtube.com/results?search_query=toby+bell+strange+loop+jplAndy Weir - Project Hail Mary: https://www.goodreads.com/book/show/54493401-project-hail-maryAndy Weir - The Martian: https://www.goodreads.com/book/show/18007564-the-martianAntithesis Blog (Nintendo Games Testing): https://antithesis.com/blog/Kris on Bluesky: https://bsky.app/profile/krisajenkins.bsky.socialKris on Mastodon: http://mastodon.social/@krisajenkinsKris on LinkedIn: https://www.linkedin.com/in/krisjenkins/

Kubernetes is flexible and customizable, but it can also be notoriously complex and difficult to deploy to. On today’s Day Two DevOps we learn about kro (Kube Resource Operator), an open-source tool that helps simplify complex application deployments. Our guest is Islam Mahgoub, a Solutions Architect at AWS focused on building kro. We talk about... Read more »

Neel Mitra, the Worldwide Solutions Architecture Leader for Data and AI at AWS, discusses the evolution and applications of AI in the automotive industry. He highlights the transition from classic AI to large language models and agentic AI, emphasizing their potential to enhance vehicle diagnostics and performance. With over twenty-one years of experience, Neel shares insights on the importance of data integration and collaboration in optimizing automotive technology. He notes the growing trend of software-defined vehicles and the need for continuous learning through MLOps. The conversation underscores the significance of AI in transforming automotive systems and the benefits of these technologies. The conversation touches on Sonatus AI innovations such as Sonatus AI Director, a new solution for in-vehicle edge AI, and Sonatus AI Technician, which uses LLM's to provide a better diagnostic experience.

Kwindla “Kwin” Kramer is the CEO and Co-founder of Daily, a leading real-time video platform that provides APIs for integrating audio, video, and AI into apps. Under his leadership, Daily has powered millions of video and voice minutes each month for clients like AWS, Google, Epic, and Nvidia, and is recognized as a Y Combinator Top Company. An MIT Media Lab alumnus, Kwin previously co-founded Oblong Industries, creator of the gesture-based interfaces seen in Minority Report. He is passionate about advancing distributed systems and AI to shape the future of telehealth, education, and conversational technology. In this episode… Imagine a virtual assistant that not only schedules your appointments but also remembers every detail of past interactions — across healthcare, education, and even gaming. What if seamless real-time audio, video, and AI tools could elevate these experiences for everyone, not just the tech elite? How did the journey of making this technology accessible to millions actually unfold? Kwin Kramer pioneered developer infrastructure that makes embedding real-time audio, video, and AI into products simple and scalable. Drawing on his experience at Y Combinator and Oblong Industries, he learned to bridge the gap between imagination and reality for companies such as Boeing and GE. With Daily, Kwin shifted to empowering startups in telehealth, edtech, and more with open, scalable tools. His work enables doctors, teachers, and other professionals to harness AI and real-time media, signaling a future where AI copilots transform daily life. In this episode of the Inspired Insider Podcast, Dr. Jeremy Weisz interviews Kwin Kramer, CEO and Co-founder of Daily. They explore the evolution of developer tools, lessons from Y Combinator, and how open-source ecosystems are shaping healthcare, education, and more. The conversation covers how Daily powers telehealth, adaptive learning, and conversational agents; the shift from custom demos to scalable APIs; and why the future of software is voice-first and deeply personalized.

On this week's Double Stint, Jonathan Grace and John Dagys recap the FIA WEC Lone Star Le Mans at Circuit of The Americas as well as GT World Challenge America powered by AWS action at Barber Motorsports Park before catching up with the latest news, answering listener questions and more.

In this inspiring episode, I sit down with Demetris Skourides, the Chief Scientist for Research, Innovation, and Technology of the Republic of Cyprus, a visionary leader who is reshaping the country's future and putting Cyprus on the global map of science, innovation, and AI.We explore his journey from a global career at Oracle and AWS to becoming the architect of Cyprus's Vision 2035, where he now leads groundbreaking initiatives in artificial intelligence, digital transformation, and space research. Demetris shares how he has built international bridges through AI diplomacy and partnerships with nations like the UAE, Japan, and Israel, proving that even a small country can have a big voice in global innovation.You'll hear how he:✨ Repositioned Cyprus as a strategic innovation hub between Europe, the Middlle East, and Asia✨ Launched CSPARK, the country's first space research and innovation centre, in collaboration with NASA and COSPAR✨ Advocates for human-centric AI, ensuring technology serves people and not the other way around✨ Champions inclusive leadership, empowering women in science, technology, and entrepreneurship✨ Operates at what many call “unicorn speed” to turn vision into measurable national transformationRecognised as one of the Top 100 Global Power Leaders and honoured with the CYDIA Impact Award, Demetris embodies servant leadership with ethos, heart, and an unshakable commitment to building a better future for Cyprus and the world.Join us for a conversation that goes beyond science and technology, it's about vision, leadership, and the power of innovation to transform societies.

Send us a textIn this episode of What's New in Cloud FinOps, hosts SteveO and Frank discuss the latest advancements in cloud FinOps, including Amazon's new EC2 P6EGB200 Ultra Servers, cloud migration strategies, and innovations in data management and storage. They also explore cost management techniques, pricing changes, and the impact of AI on troubleshooting and monitoring. The conversation wraps up with a call for engaging discussions with listeners.

AWS Morning Brief for the week of September 8th, with Corey Quinn. Links:Amazon disrupts watering hole campaign by Russia's APT29AWS IAM launches new VPC endpoint condition keys for network perimeter controlsRDS Data API now supports IPv6Now Open — AWS Asia Pacific (New Zealand) RegionAWS Resource Explorer is now available in AWS Asia Pacific (Taipei) RegionProtect your Amazon Route 53 DNS zones and records Efficiently verify Amazon S3 data at scale with compute checksum operationAWS Elemental celebrates 10 years of innovationChoosing the right AWS live streaming solution for your use case

Colby Ward of Amazon Web Services talks about leveraging agentic AI for competitive advantage; navigating change management; data; & eliminating spreadsheets.  IN THIS EPISODE WE DISCUSS:   [04.04] An introduction to Colby, his background, and role at Amazon Web Services. [06.58] An overview of AWS – who they are, what they do, and how they help their customers. “Everybody knows the expression: ‘Garbage in, garbage out!' But no one seems to focus on that area enough. They seem to say: “Well, here's our solution, whatever your data is, we'll take it.” And nobody focuses on: “How can I connect your data in an easier way?” “Our goal is to eventually eliminate the spreadsheet on every supply chainers desktop!” [10.30] Where enterprise technology has focused over the last couple of decades, the positives and negatives, and how we've got to where we are today. [14.17] The problem with generic SaaS systems in supply chain, and how agentic AI can deliver improved orchestration and eliminate bias. “SaaS systems are designed to fit any customer need, not your specific needs…. It has to be built in a generic way, so they offer configurable options, different APIs, but you're molding a generic system. And the problem is: supply chain problems aren't generic. They're specific. When you translate the word supply chain, what you're really saying is business operations. So that's a big topic!” “Not conjecture, not just leaving it up to somebody's best instinct… When you're operating on data-driven decisions, you don't have to second guess.” [22.27] How businesses can tackle outdated processes and deal with dirty data to leverage agentic AI in the most effective ways. “People say that data is the new oil, and that's true. But, like oil, if it's unrefined, it's useless.” [29.17] Leveraging agentic AI for competitive advantage, and why businesses should be thinking about creating the most amount of outputs from the least amount of inputs. “Enterprise A that doesn't use AI will eventually be the lumber yard that never bothered with a chainsaw. There's a reason we moved from axes to chainsaws, and AI is your chainsaw!” [35.21] Whether or not agentic AI will level the playing field. [37.34] An overview of ontologies, process and knowledge graphs, and how they can guide agents to achieve next-level intelligence. [42.36] Change management, and how businesses should be thinking about people alongside technology to ensure the best chance of success. “If you visualize this as a tool to help you with your job, you're immediately going to be better off… Make sure you have an AI strategy in place. Don't be dismissive that this is the next new fad. It's not. It's transformative.” [45.00] Are we ready? What organizations should take away from this discussion.   RESOURCES AND LINKS MENTIONED:   Head over to Amazon Web Service's website now to find out more and discover how they could help you too. You can also connect with AWS and keep up to date with the latest over on LinkedIn, Facebook, YouTube, Instagram or X (Twitter), or you can connect with Colby on LinkedIn. If you enjoyed this episode and want to hear more about AI and change management in supply chain, check out 458: Demystifying Industry Buzzwords and Innovating Intermodal, with Lynxis or 486: Revealed – The Number One Way To Make Your Supply Chain Future-Proof. Check out our other podcasts HERE.

EchoStar has entered into a definitive agreement with SpaceX to sell the company's AWS-4 and H-block spectrum licenses for approximately $17 billion. NASA seeks feedback from industry partners on the next phase of its commercial space stations strategy. Planet Labs has announced financial results for the period ended July 31, 2025, 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 Bailey Reichelt from Aegis Space Law and Matthew Linton from Linton Space Law bring us Space Law FAQs. If you have any questions you'd like to ask the team, please email space@n2k.com. Selected Reading EchoStar Announces Spectrum Sale and Commercial Agreement with SpaceX MDA Space Provides Update On Echostar Contract NASA Seeks Industry Input on Next Phase of Commercial Space Stations Commercial Low Earth Orbit (LEO) Development Program Phase 2- SAA Planet Reports Financial Results for Second Quarter of Fiscal Year 2026 ICEYE signs satellite acquisition agreement with the Finnish Defence Forces NASA Announces CHAPEA Crew for Year-Long Mars Mission Simulation SpaceX takes flight with $8M expansion of Central Texas facility Star Trek is officially coming to lego watch announcement teaser 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

US equities were higher in uneventful Monday trading, with the Dow Jones, S&P500, and Nasdaq finishing up 25bps, 21bps, and 45bps respectively. Upside was limited and trading very rangebound, though the Nasdaq still set a fresh record close. Data from the NY Fed showed 1-year inflation expectations up 10bps m/m to 3.2%; noted job replacement/rehiring optimism lowest since June of 2013. Echostar finished up nearly 20% on a deal to sell AWS-4 and H-block spectrum licenses to SpaceX for around $17B in cash and stock.

Three leading ISV executives from Coveo, DTEX Systems and Honeycomb, reveal how companies with proprietary datasets are gaining unbeatable competitive advantages in the AI era and share real-world strategies how you have similar outcomes.Topics Include:Panel introduces three ISV leaders discussing data platform transformation for AIDTEX focuses on insider threats, Coveo on enterprise search, Honeycomb on observabilityCompanies with proprietary datasets gain strongest competitive advantage in AI transformationData gravity concept: LLMs learning from unique datasets create defensible business positionsCoveo maintains unified enterprise index with real-time content and access rights syncHoneycomb enables subsecond queries for analyzing logs, traces, and metrics at scaleMulti-tenant architectures balance shared infrastructure benefits with single-tenant data separationCoveo deployed 140,000 times last year using mostly multi-tenant, some single-tenant componentsDTEX scaled from thousands to hundreds of thousands endpoints after architectural transformationCapital One partnership taught DTEX how to break monolithic architecture into servicesApache Iceberg and open table formats enable interoperability without data duplicationHoneycomb built custom format following similar patterns with hot/cold storage tiersBusiness data catalogs become critical for AI agents understanding dataset contextMCP servers allow AI systems to leverage structured cybersecurity datasets effectivelyDTEX used Cursor with their data to identify North Korean threat actorsReal-time AI data needs balanced with costs using right models for jobsCaching strategies and precise context reduce expensive LLM inference calls unnecessarilySearch remains essential for enterprise AI to prevent hallucination and access informationROI measurement focuses on cost reduction, analyst efficiency, and measurable business outcomesKey takeaway: invest in data structure early, context is king, AI is just softwareParticipants:Sebastien Paquet - Vice President of AI Strategy, CoveoRajan Koo - CTO, DTEX SystemsPatrick King - Head of Data, Honeycomb.ioKP Bhat - Sr Solutions Architecture Leader- Analytics & AI, Amazon Web ServicesFurther Links:Coveo: Website – LinkedIn – AWS MarketplaceDTEX Systems: Website – LinkedIn – AWS MarketplaceHoneycomb.io: Website – LinkedIn – AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Analysts Don Kellogg and Roger Entner discuss the pending sale of EchoStar's spectrum assets, who stands to benefit, and the role of regulators in shaping the market.*Note: This episode was recorded 9/5/2025 before the SpaceX acquisition of EchoStar's spectrum assets on 9/8/2025.00:00 Episode intro 00:25 The sale of AWS-4 02:03 Who will buy AWS-3 and 700 MHz? 03:54 Dish's path forward depends on regulators 05:30 Fourth-largest operators traditionally struggle 07:54 MMOs vs. MVNOs 08:39 A failing venture can be a success 10:28 Will spectrum go to good use? 10:49 Episode wrap-upTags: telecom, telecommunications, wireless, prepaid, postpaid, cellular phone, Don Kellogg, Roger Entner, Dish, EchoStar, AT&T, AWS-4, Elon Musk, Charlie Ergen, Starlink, FCC, AWS-3, 700 MHz, Verizon, spectrum, T-Mobile, satellite, MVNO, Peter Adderton, Rakuten, network, MMO

Adrian Popple has over 35 years' experience in residential design and under his guidance seen Metricon countless times recognised and awarded by Australia's peak building bodies for its innovative and industry leading designs.Joining Metricon in 1987, Adrian Popple swiftly ascended the ranks navigating diverse roles-from drafting cadet to design and display management, and a stint in business development, culminating in his now 15-year tenure as National Design Director.Over three decades, Adrian has meticulously crafted Metricon's design DNA, establishing an envious industry presence.He joins us to try and answer the burning question of this week: “If Your House Were a Car, It Would Be a 1990 Sedan. How can we Fix That?".This podcast is brought to you in association with AWS, proud sponsors of our 2025 Residential series of podcasts.

I spoke with Kalai Ramea at a timely moment. We recorded this conversation during a heatwave in the UK, which made her work at Planette AI feel very real. Kalai calls herself an all-purpose scientist, with a path that runs through California climate policy, Xerox PARC, and now a startup focused on the forecast window that most people ignore. Not tomorrow's weather. Not far-off climate scenarios. The space in between. Two weeks to two months out, where decisions get made and money is on the line. Kalai explains Planette AI's idea of scientific AI in plain words. Instead of learning from yesterday's weather patterns and hoping the future looks the same, their models learn physics from earth system simulations. Ocean meets atmosphere, energy moves, and the model learns those relationships directly. That matters in a warming world where history is a shaky guide. It also shortens time to insight. Traditional models can take weeks to run. If the output arrives after the risky period has passed, it is trivia.  tte AI is building for speed and usefulness. The value shows up in places you can picture. Event planners deciding whether to green-light a festival. Airlines shaping schedules and staffing. Farmers choosing when to plant and irrigate. Insurers pricing risk without leaning only on the past. Kalai shared a telling backcast of Bonnaroo in Tennessee, where flooding forced a last-minute cancellation. Their system showed heavy-rain signals weeks ahead. That kind of lead time changes outcomes, budgets, and stress levels. From Jargon To Decisions What I appreciate most about this story is the focus on access. Too many forecasts live in papers that only specialists read. Kalai and team are working to strip away jargon and deliver answers people can act on. Will it rain enough to trigger a payout. Will a heat threshold be crossed. Will the next month bring the kind of wind that matters for grid operations. The delivery matters as much as the math. NetCDF files might work for researchers, but a map, a simple number, or a chat interface is what users reach for when time is short. There is also a financial thread running through this work. Climate risk now shapes crop insurance, carbon programs, and balance sheets. Parametric insurance is growing because it is simple. Set a threshold. If it hits, the policy pays. Better medium-range signals make those products fairer and more useful. Kalai describes Planette AI's role as a baseline layer others can build on, a kind of AWS for climate intelligence. That framing fits. No single company will build every app in this space. A reliable core makes the rest possible. Kalai's path ties it all together. Policy taught her how decisions get made. PARC sharpened her instincts for practical AI. PlanetteAI is the result. If you care about planning beyond next week, this episode will give you a new way to think about forecasts and the tools that power them. I will add the blog link Kalai shared in the show notes. In the meantime, if you are in agriculture, travel, energy, or insurance, ask yourself a simple question. What would you change if you had a trustworthy signal three to eight weeks ahead. ********* Visit the Sponsor of Tech Talks Network: Land your first job  in tech in 6 months as a Software QA Engineering Bootcamp with Careerist https://crst.co/OGCLA

Unlock essential cloud security lessons with Rajeev Joshi and the vBrownBag team as they explore the most common AWS mistakes: misconfigured S3 buckets, over-permissive IAM, open ports, hard-coded secrets, and blind spots in logging. Hear real-world breach stories and learn practical best practices for safer cloud deployments, whether starting out or leveling up as a security engineer. #CloudSecurity #AWS #CyberSecurity #DevSecOps #CloudCareers #vBrownBag #Infosec Chapters 00:00:03 Cloud Security Introduction & Welcome 00:05:31 Why Cloud Security Matters: Data Breaches, Shared Responsibility 00:18:31 Top Mistakes: S3 Bucket and IAM Misconfigurations 00:31:12 Open Ports, Bad Security Groups, and Real-World Case Studies 00:40:29 Hard-Coded Secrets, Logging, and Monitoring 00:54:54 Best Practices, Careers, and Closing Advice Resources: https://www.linkedin.com/in/rajeev-joshi-7964b4221/

Okta's CTO Bhawna Singh discusses AI adoption, innovation and the four critical identity patterns needed to build the trust that accelerates AI implementation.Topics Include:AI innovation races ahead while adoption lags due to trust and security concernsResearch shows 82% plan AI deployment but 61% of customers demand trust firstAI coding tools dramatically reduce development time, accelerating software delivery cyclesAI interaction evolved from ChatGPT conversations to autonomous headless agents working independentlyFuture envisions millions of agents making decisions and communicating without human oversightComplex data relationships emerge as agents access multiple dynamic sources simultaneouslyTrust fundamentally starts with identity - the foundation for all AI securityFour critical identity patterns needed: authentication, API security, user confirmation, and authorizationAuthentication ensures legitimate agents while token vaults enable secure agent-to-agent communicationAsynchronous user approval prevents rogue decisions like the recent database deletion incidentIndustry standards like MCP protocol establish minimum security guardrails for interoperabilityTrust accelerates AI adoption through security, accountability, and collaborative standard-building effortsParticipants:Bhawna Singh – CTO, Customer Identity, OktaSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

We're joined by two GenAI experts from AWS and DoiT to understand why GenAI POCs fail at production scale, how to evaluate LLMs, and how to approach GenAI production readiness. The discussion covers four GenAI workload migration patterns, AWS Bedrock's systematic migration framework, enterprise compliance challenges including HIPAA and GDPR requirements, and practical approaches to evaluating model performance across speed, cost, and quality.

In this Short, Alexander Keesling, CEO of QuEra, shares insights on turning quantum research into a successful business. He discusses how they've built partnerships with AWS, why customer education is crucial, and how to navigate the emerging quantum computing market. What You'll Learn: How to turn research into a viable business The importance of timing in emerging markets Building the right customer education strategy Navigating complex B2B sales cycles ALLES ZU UNICORN BAKERY: https://zez.am/unicornbakery  Mehr zu Alexander Keesling LinkedIn: https://www.linkedin.com/in/alexander-keesling-66229730/  QuEra: https://www.quera.com/  Join our Founder Tactics Newsletter: 2x die Woche bekommst du die Taktiken der besten Gründer der Welt direkt ins Postfach: https://www.tactics.unicornbakery.de/ 

AI is rewriting the rules of code review and CodeRabbit is leading the charge. In this featured episode of Screaming in the Cloud, Harjot Gill shares with Corey Quinn how his team built the most-installed AI app on GitHub and GitLab, nailed positive unit economics, and turned code review into a powerful guardrail for the AI era.Show Highlights(0:00) Entrepreneurial Journey and Code Rabbit's Origin (3:06) The Broken Nature of Code Reviews (5:47) Developer Feedback and the Future of Code Review (9:50) AI-Generated Code and the Code Review Burden (11:46) Traditional Tools vs. AI in Code Review (13:41) Keeping Up with State-of-the-Art Models (16:16) Cloud Architecture and Google Cloud Run(18:21) Context Engineering for Large Codebases (20:52) Taming LLMs and Balancing Feedback (22:30) Business Model and Open Source Strategy About Harjot Gill Harjot is the CEO of CodeRabbit, a leading AI-first developer tools company. LinksHarjot on LinkedIn: https://www.linkedin.com/in/harjotsgill/SponsorCodeRabbit: https://coderabbit.link/corey

Snigdha Joshi is a UI/UX Designer: In this session, we unravel how artificial intelligence is redefining the future of creative technology from intuitive UI/UX design to dynamic content creation, generative art, immersive storytelling, and beyond. Gain insight into how AI is unlocking new dimensions of expression, streamlining design processes, and giving rise to transformative career roles at the intersection of imagination and intelligence. 00:00 - Intro 03:50 - Designing Tomorrow 05:00 - Fear of AI 10:29 - User Research 24:18 - Beyond Chat 36:37 - Tools that Do More 41:45 - Final Takeaway 51:22 - Q&A How to find Snigdha: https://www.linkedin.com/in/snigdha-joshi-20a476253/ Snigdha's links: https://snigdhajoshi.framer.website

Fabtech 2025 is almost here! Jason sits down with Matt Rubin, Managing Director of Sales and Expositions for AWS, to break down everything you need to know about the biggest welding and fabrication show of the year. From conference sessions and networking events to the all-new AWS podcast booth, this episode will help you plan your Fabtech experience. Welcome to another edition of Weld Wednesdays with AWS! In this episode, Jason is joined by Matt Rubin, Managing Director of Sales and Expositions for the American Welding Society, to talk all things Fabtech 2025 in Chicago, September 8–11. Matt shares insider details on what to expect this year, including: The AWS booth experience, complete with a brand-new podcast booth, bookstore discounts, and live micro-sessions. Educational opportunities, from AI workshops to stainless steel applications, laser welding, and PDH/CEU sessions for CWIs. Live welding competitions, raffles, and interactive experiences like the Careers in Welding trailer. Networking highlights such as RWMA Happy Hour, Arcs & Ales at FatPour Tap House, and Fabtech Industry Night. Exclusive membership specials and code discounts you won't want to miss. Whether you're an educator, student, business owner, or industry leader, Fabtech has something for everyone. Tune in to get the inside scoop and make the most of your time in Chicago!

Faddom is re-envisioning what application dependency mapping and infrastructure inventory can be in the era of cloud and hybrid IT. Join us today on this sponsored episode as we speak with Faddom’s Itamar Rotem, CPO and Ofer Regev, CTO,  about how Faddom’s discovery process can help to improve migrations for any size organization and help... Read more »

John Capobianco is back! Just months after our first Model Context Protocol (MCP) discussion, John returns to showcase how this “USB-C of software” has transformed from experimental technology to an enterprise-ready solutions. We explore the game-changing OAuth 2.1 security updates, witness live demonstrations of packet analysis through natural language with Gemini CLI, and discover how... Read more »

Faddom is re-envisioning what application dependency mapping and infrastructure inventory can be in the era of cloud and hybrid IT. Join us today on this sponsored episode as we speak with Faddom’s Itamar Rotem, CPO and Ofer Regev, CTO,  about how Faddom’s discovery process can help to improve migrations for any size organization and help... Read more »

AWS Morning Brief for the week of September 2nd, 2025, with Corey Quinn. Links:How Ancestry optimizes a 100-billion-row Iceberg tableMastering Amazon Q Developer with Rules Bob's Used Books: Build a .NET Serverless Application on AWS – Part 2: ArchitectureHow Amazon Finance built an AI assistant using Amazon Bedrock and Amazon Kendra to support analysts for data discovery and business insights Building Your Open Source Commercial Strategy with AWSHow to optimize Amazon RDS and Amazon Aurora database costs/performance with AWS Compute OptimizerGracefully handle failed AWS Lambda events from Amazon DynamoDB StreamsAnnouncing the AWS Billing and Cost Management MCP serverAWS joins the DocumentDB project to build interoperable, open source document database technologyCount Tokens API supported for Anthropic's Claude models now in Amazon Bedrock

In this exciting return of TechMagic in season 3, hosts Cathy Hackl and Lee Kebler sit down with Kevin Rose, founder of Digg and partner at True Ventures, to explore the future of digital communities and human-first technology. Together, they discuss the ambitious Digg relaunch in partnership with Reddit's co-founder, Alexis Ohanian, the challenges of building trust and safety on online platforms, and the disruptive role of AI in shaping content and jobs. From redefining how we talk about AI “hallucinations” to highlighting the rising importance of authentic human connection, this episode provides fresh insights into the evolving relationship between technology, community, and our shared digital future.Come for the Tech, stay for the Magic!What you will learn:Building Trust in Digital CommunitiesThe Power of Niche CommunitiesStrategic AI IntegrationThe Return to Real-World ConnectionKevin Rose BioKevin Rose is a pioneering tech entrepreneur, investor, and partner at True Ventures. He is best known as the founder of Digg, the first major social news platform. Over his 25+ year career, he has launched and led multiple ventures, including Revision3 (acquired by Discovery), Zero (the leading intermittent fasting app), and served as CEO of Hodinkee. Rose has been an early angel investor in Twitter, Square, Facebook, and more, earning recognition from Bloomberg, Forbes, MIT, and Time as one of the most influential figures in tech. His focus today is building trustworthy, human-first digital communities and advancing the future of online platforms.Kevin Rose on LinkedIn 1Kevin Rose on LinkedIn 2Key Discussion Topics:00:00 Welcome to Tech Magic Season 303:19 Adventures in Finland & India: Cathy's Global Tech Journey07:05 ChatGPT Drama: Checking on AI Boyfriends12:12 Kevin Rose Interview: The Return of Digg18:22 Building Trust in Digital Communities28:30 The Future of In-Person Meetups32:19 AI Integration & Human Connection39:16 Meta Connect & Smart Glasses Privacy Concerns42:17 The Roblox Safety Debate51:32 AWS vs. Salesforce: The Entry-Level Jobs Controversy59:26 Finding Balance in a Tech-Saturated World01:13:14 Final Thoughts: Gratitude & Music Recommendations Hosted on Acast. See acast.com/privacy for more information.

A panel discussion with AI industry leaders revealing how enterprises are scaling AI today, with predictions on coming breakthroughs for AI and the impact on Fortune 500 companies and beyond.Topics Include:Three technical leaders discuss production challenges: security, interoperability, and scaling agentic systemsPanelists represent Enkrypt (security), Anyscale (infrastructure), and CrewAI (agent orchestration platforms)Industry moving from flashy demos to dependable agents with real business outcomesBreakthrough examples include 70-page IRS form processing and multimodal workflow automationMultimodal data integration becoming crucial - incorporating video, audio, screenshots into decisionsLess than 10% of future applications expected to be text-onlyCompanies shifting from experimenting with individual models to deploying agent networksNeed for governance frameworks as enterprises scale to hundreds of agentsGrowing software stack complexity requires specialized infrastructure between applications and GPUsSecurity teams need centralized visibility across fragmented agent deployments across enterprisesExisting industry regulations apply to AI services - no special AI laws neededInteroperability standards debate: MCP gaining adoption while A2A seems premature solutionMCP shows higher API reliability than OpenAI tool calling for implementationsMultimodal systems more vulnerable to attacks but value proposition too high ignoreFortune 500 company automated price operations approval process using 630 brands data87% of enterprise customers deploy agents in private VPCs or on-premises infrastructureSpecialized AI systems needed to oversee other agents at machine speed scalesCost optimization through model specialization rather than always using most powerful modelsFuture learning may happen through context/prompting rather than traditional weight fine-tuningPredictions include AI meeting moderators and agents working autonomously for hoursParticipants:Robert Nishihara - Co-founder, AnyscaleJoão Moura - CEO, CrewAISahil Agarwal - Co-Founder & CEO, Enkrypt AIJillian D'Arcy - Sr. ISV Sales Leader, Amazon Web ServicesFurther Links:Anyscale – Website | LinkedIn | AWS MarketplaceCrewAI - Website | LinkedIn | AWS MarketplaceEnkrypt AI - Website | LinkedIn | AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Bolsa Mexicana de Valores (Grupo BMV) CEO Jorge Alegria joins us to discuss the exchange's 20% year-to-date gain, outpacing the S&P 500. Alegria attributes this success to a shift in investor interest towards emerging markets and Mexico's attractive valuations. He highlights the BMV's efforts to modernize and increase its global reach through partnerships with NASDAQ and AWS. Alegria also emphasizes the growing importance of cloud infrastructure and its role in Mexico's financial structure.======== Schwab Network ========Empowering every investor and trader, every market day. Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/ About Schwab Network - https://schwabnetwork.com/about

Faddom is re-envisioning what application dependency mapping and infrastructure inventory can be in the era of cloud and hybrid IT. Join us today on this sponsored episode as we speak with Faddom’s Itamar Rotem, CPO and Ofer Regev, CTO,  about how Faddom’s discovery process can help to improve migrations for any size organization and help... Read more »

“Sonaspection has been keeping inspectors honest since 1980—by making flaws on purpose. This week, Jeremy Ring joins me to talk NDT, mentorship, and how controlled cracks build better inspectors.”   This week on the Arc Junkies Podcast, I'm joined by Jeremy Ring, President of Sonaspection. If you're not familiar with Sonaspection, they've been training inspectors since 1980 by creating controlled flaws in real welded samples. Their work keeps inspectors sharp, welders accountable, and industries safe. Jeremy shares his journey from NASCAR engineering to NDT leadership, and we dig into how flawed specimens help inspectors build the confidence to make the right call in the field. We also talk about mentorship, the future of inspection with AI, the global shortage of inspectors, and why proper training is critical to preventing failures that could put lives at risk. If you've ever wondered how inspectors sharpen their skills—or why “known flaws” are the best teachers—this is an episode you don't want to miss.   Arc Junkies Podcast: Instagram: @Arcjunkiespodcast YouTube: https://www.youtube.com/@arcjunkiespodcast9253 Email: Show@arcjunkies.com LinkedIn: https://www.linkedin.com/in/jason-becker-45407b72?lipi=urn%3Ali%3Apage%3Ad_flagship3_profile_view_base_contact_details%3BKipEwR3uQXCmCjaEfNzo6w%3D%3D Arc Junkies Website: https://arcjunkies.com Arc junkies Merch: https://shop.threadmob.com/arcjunkie/shop/home Underground Metal Works: https://www.underground-metalworks.com/   Friends of the Show: American Welding Society Conferences Pipeline Conference https://www.aws.org/community-and-events/conferences-and-events/pipeline/ Use ARCJUNKIES at Checkout and get a free gift at the event.   Outlaw Leather LLC Outlawleather.com Instagram: @outlawleatherusa Use ARCJUNKIES for 15% off all in-stock leather goods     Everlast Welders Instagram: @everlastwelders  YouTube: Everlast Welders         Online: https://bit.ly/37xJstI Use Codeword ARCJUNKIES at checkout to get upgraded to a free Nova Foot Pedal and TIG Torch with the purchase of any machine that comes with a stock foot pedal and TIG Torch. ISOTUNES: Instagram: @isotunesaudio Online: https://shop.isotunes.com/arcjunkies10.  Use ARCJUNKIES10 at checkout and save $10 on your purchase    

Join host Paul Spain and Joshua Alcock (Fortinet) as they explore the cybersecurity threats facing Operational Technology (OT) environments and the latest insights from Fortinet's 2025 Industrial Cybersecurity Report. They also delve into some of the latest tech news, including the launch of AWS data centers in New Zealand, Fieldays' NZ-Brazil AgriTech opportunities, Microsoft's Internal AI developments, Masterdon's Age verification challenges. Plus, Workdays research into AI Agent adoption in the workplace.Thanks to our Partners One NZ, Workday, 2degrees, HP, Spark and Gorilla Technology

Noelle Russell is a multi-award-winning speaker, author, and AI Executive who specializes in transforming businesses through strategic AI adoption. She is a revenue growth + cost optimization expert, 4x Microsoft Responsible AI MVP, and named the #1 Agentic AI Leader in 2025. She has led teams at NPR, Microsoft, IBM, AWS and Amazon Alexa, and is a consistent champion for Data and AI literacy and is the founder of the 'I ❤️ AI' Community teaching responsible AI for everyone.She is the founder of the AI Leadership Institute and empowers business owners to grow and scale with AI. In the last year, she has been named an awardee of the AI and Cyber Leadership Award from DCALive, the #1 Thought Leader in Agentic AI and a Top 10 Global Thought Leader in Generative AI by Thinkers360.You can find Noelle on the following sites:WebsiteLinkedInYouTubeXHere are some links provided by Noelle:Scaling Responsible AI: From Enthusiasm to ExecutionAI Leadership InstitutePLEASE SUBSCRIBE TO THE PODCASTSpotifyApple PodcastsYouTube MusicAmazon MusicRSS FeedYou can check out more episodes of Coffee and Open Source on https://www.coffeeandopensource.comCoffee and Open Source is hosted by Isaac Levin

AI executives from Archer, Demandbase and Highspot and AWS reveal how they're tackling AI's biggest challenges—from securing data, managing regulatory changes and keeping humans in the loop.Topics Include:Three AI leaders introduce their companies: Archer, Demandbase and Highspot's approaches to enterprise AIDemandbase's data strategy: Customer data stays isolated, shared data requires consent, public sources fuel trainingGeographic complexity: AI compliance varies dramatically between Germany, US, Canada, and California regulationsHighSpot tackles sales bias: Granular questions replace generic assessments for more accurate rep evaluationsSBI framework applied to AI: Specific behavioral observations create better, more actionable sales coachingAI transparency through citations: Timestamped evidence lets managers verify AI feedback and catch hallucinationsArcher handles 20-30K monthly regulations: AI helps enterprises manage overwhelming compliance requirements at scaleTwo compliance types explained: Operational (common across companies) versus business-specific regulatory requirementsEU AI Act adoption: US companies embracing European framework for responsible AI governanceHuman oversight becomes mandatory: Expert-in-the-loop reviews ensure AI decisions remain correctable and auditableThe bigger AI risk: Companies face greater danger from AI inaction than AI adoptionAgentic AI security challenges: Data layers must enforce permissions before AI access, not afterAI agents need identity management: Same access controls apply whether human clicks or AI actsHuman oversight in high stakes: Chief compliance officers demand transparency and correction capabilitiesFuture challenge identified: 80% of enterprise data behind firewalls remains invisible to AI modelsParticipants:Kayvan Alikhani - Global Head of Engineering- Emerging Solutions, Archer Integrated Risk ManagementUmberto Milletti - Chief R&D Officer, DemandbaseOliver Sharp - Co-Founder & Chief AI Officer, HighspotBrian Shadpour - General Manager, Security, Amazon Web ServicesFurther Links:Archer Integrated Risk Management: Website – LinkedIn – AWS MarketplaceDemandbase: Website – LinkedIn – AWS MarketplaceHighspot: Website – LinkedIn – AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/