Podcasts about aws

כיום, התלות שלנו במחשבים שנמצאים אי שם בהאינטרנט - ב"ענן" - היא כמעט מובנת מאליה: מעטים מאיתנו מסוגלים להסתדר בלי ג'ימייל, ומעטות החברות שלא משתמשות ב-AWS. אבל בימיה המוקדמים של מהפכת המחשוב, הרעיון של המחשב כמשאב חיצוני - בדומה לשירותי המים והחשמל שאנחנו מקבלים מבחוץ ולא מייצרים בעצמנו - לא היה כה מובן מאליו. עלייתה של רשת האינטרנט, ובמיוחד תופעות חברתיות מפתיעות שהביאה עימה כדוגמת "החיבוק של סטיבן פריי" - הובילו למהפכה שאנחנו נהנים מפירותיה בימינו. האזנה נעימה,רן

In this episode of the Tyler Tech Podcast, we unpack a common and often misunderstood topic in public sector cloud computing: what GovCloud is, how it differs from standard cloud environments, and when each is actually necessary.Recorded live at our annual Tyler Connect conference in San Antonio, this insightful discussion features Russell Gainford, chief technology officer at Tyler Technologies, and Gerard Gallant, senior program manager at Amazon Web Services (AWS). Together, they explore how state and local governments can navigate evolving compliance needs and make smart, secure, and cost-effective cloud choices.Throughout the episode, Russell and Gerard clarify the distinction between security and compliance, explain why assumptions around GovCloud can lead to unnecessary complexity and cost, and highlight AWS's Nitro System as a game-changing innovation in data protection. They also touch on the broader importance of continuous education in cloud decision-making, particularly as agencies modernize infrastructure and embrace emerging technologies.Tune in to hear how public sector leaders can confidently choose the right cloud environment for their mission — grounded in actual requirements, not just labels.This episode also highlights “Resilient by Design: How Technology Supports Government,” our free e-book that explores how public sector agencies can strengthen their resilience in the face of disruption. From cloud infrastructure and automation to secure payment systems and crisis response tools, the e-book features real-world examples of how technology helps governments maintain continuity and serve their communities more effectively.Download: Resilient by Design: How Technology Supports GovernmentAnd learn more about the topics discussed in this episode with these resources:Download: Resilient by Design: How Technology Supports GovernmentDownload: Cloud-Smart Strategies for IT Infrastructure ModernizationBlog: Boosting Resilience: Cloud Solutions for Modern GovernmentBlog: Partnering With Communities to Build ResilienceBlog: Resilient Communities Rely on Modern Public Safety SolutionsBlog: Increase Community Resilience With Modern Payment SystemsBlog: How Cloud-Based Solutions Expand Access to State ServicesPodcast: The Cloud Advantage: Powering Public Sector ResilienceListen to other episodes of the podcast.Let us know what you think about the Tyler Tech Podcast in this survey!

In the age of AI, customer trust is a hard-won commodity. Join us in this episode of AWS Executive Insights as we speak with Matt Saner, AWS Security Solutions Architect Manager, about the critical intersection of AI, security, and customer trust. AWS security evangelist Clarke Rodgers sits down with Matt to learn how AWS collaborates with customers to address their security challenges in adopting generative AI. Saner emphasizes the importance of understanding industry-specific needs and translating customer feedback into product improvements. This can't-miss episode also introduces the Generative AI Security Scoping Matrix, a tool organizations can use to securely navigate AI implementation. This episode provides valuable insights for leaders seeking to implement customer-driven AI development while maintaining the highest standards of security and trust.

Links:Finch expands support to Ubuntu, streamlining container development across platformsAmazon CloudFront announces support for HTTPS DNS recordsAmazon Q Business launches the ability to customize responsesBuild the highest resilience apps with multi-Region strong consistency in Amazon DynamoDB global tablesLeveling up Amazon RDS with AWS Graviton4: BenchmarksBuild AWS architecture diagrams using Amazon Q CLI and MCPUsing generative AI to help dog owners make smarter health decisionsAWS Certificate Manager now supports exporting public certificatesRemote access to AWS: A guide for hybrid workforcesHow to Use AWS Data Transfer Terminal

Matt “Kix” Kixmoeller, Chief Marketing Officer of Glean, shares how Glean partners with AWS to deploy secure, scalable AI solutions that help companies move from basic productivity tools to transformative business intelligence.Topics Include:Introduction to GleanGlean targets Global 2000 companies for AI transformationEnterprise AI needs company context: data, people, processesBottom-up approach: deploy to all employees firstFocus on business results, not just productivity gainsGlean Assistant provides daily AI tool for employeesGlean Agents platform enables natural language agent buildingOpen APIs export context to enterprise systemsStarted as enterprise search, evolved to knowledge graphsKnowledge graphs map content, people, projects, and processesIndividual knowledge graphs created for each personGlean WorkAI platform includes search, protect, agentsGlean Protect ensures data security and AI governancePlatform integrates with existing enterprise tools nativelyMCP enables connection to various AI systemsStrong growth: $100M ARR, $700M+ funding raisedAWS partnership provides models, security, and deploymentParticipants:Matt “Kix” Kixmoeller – Chief Marketing Officer, GleanFurther Links:Website: https://www.glean.com/Glean on AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

The EU cloud exit movement is reshaping how European organizations think about data storage and sovereignty. Companies across Europe are moving away from US-based cloud providers like Microsoft 365, AWS, and Google Workspace due to concerns about the Cloud Act and data privacy regulations.In this episode, Curtis and Prasanna explore the backup implications of this major shift. They discuss the challenges of replacing comprehensive platforms like Microsoft 365 with multiple EU-based providers, the complexities of bringing services back in-house, and why the 3-2-1 backup rule becomes even more critical during these transitions.Whether organizations choose local providers or decide to self-host their infrastructure, data protection remains paramount. The hosts share real-world examples of failed backup strategies, including the Rackspace Exchange disaster and OVH's data center fire, to illustrate why third-party backup solutions are necessary regardless of your hosting choice.

A Apple pensou em concorrer com a AWS, está se recuperando na China, e até que manda bem na IA de transcrição.

As we get to the mid-point of 2025, let's take a look at where the cloud is - what's doing well, what's going through some changes, and what might be in store for the rest of 2025. SHOW: 938SHOW TRANSCRIPT: The Cloudcast #938 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW SPONSORS:[FCTR] Try FCTR.io (that's F-C-T-R dot io) free for 60 days. Modern security demands modern solutions. Check out Fctr's Tako AI, the first AI agent for Okta, on their website[VASION] Vasion Print eliminates the need for print servers by enabling secure, cloud-based printing from any device, anywhere. Get a custom demo to see the difference for yourself.SHOW NOTES:Digital Sovereignty concerns, investments and new laws outside the US Growth of regional clouds? Uncertainty in Azure, AWS - employee layoffs, review cycles, focus on non-AI projects/featuresEast Meets West 2025 (keynote presentation) - See slide 27 (GPU share vs Cloud revenue share)Revenues: AWS ($116B run rate); Azure ($107.2B), GCP ($49B), Oracle Cloud ($12B IaaS, $16.8B SaaS), CoreWeave ($1B, since 2022) – OpenAI ($12-13B in 2025)NVIDIA ($130B)Massive Data Center build outs - Stargate ($500B), Meta ($60-65B), Grok/X ($10B)AWS ($100B), Azure ($80B), Saudi Arabia (up to $100B)FEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

Donny Hackett is the founder of VeriDeal.He is launching this with a friend/partner because when he got laid off from AWS, he found his job efforts thwarted by other sales reps who had no problem lying about their accomplishments.So he created a new SaaS platform for sales reps to verify and track their closed deals. We get into Donny's background in sales, the importance of trust and verification in the sales process, and how technology, particularly AI, is changing the landscape of sales. I grilled Donny pretty hard about how he has developed VeriDeal and how it solves the problem he says it does.Whether you need the app or not, you will benefit from listening to how he has balanced a growing family, his day job, and entrepreneurship.He's excited about the launch as am I, so let's get this party started.00:00 Introduction to Truth in Deals18:23 Donny Hackett's Sales Journey21:05 The Need for Verideal24:00 Challenges in Hiring and Verification26:49 Building Verideal: The Technical Side29:48 Balancing Day Job and Startup32:33 Preparing for Launch35:28 Future of Verideal and Market ImpactUnlock the secrets of sales success by understanding what makes people do the things they do—access your free training: https://wesschaeffer.com/dailyBecome unstoppable in 12 weeks for free, with the 12 Weeks To Peak™ habit tracker: https://wesschaeffer.com/12wConnect with me:X -- https://X.com/saleswhispererInstagram -- https://instagram.com/saleswhispererLinkedIn -- http://www.linkedin.com/in/thesaleswhisperer/#12WeeksToPeak #SalesTraining #GoalSetting #PersonalDevelopment #GrowthMindset

Our 214th episode with a summary and discussion of last week's big AI news! Recorded on 06/27/2025 Hosted by Andrey Kurenkov and Jeremie Harris. Feel free to email us your questions and feedback at contact@lastweekinai.com and/or hello@gladstone.ai Read out our text newsletter and comment on the podcast at https://lastweekin.ai/. In this episode: Meta's hiring of key engineers from OpenAI and Thinking Machines Lab securing a $2 billion seed round with a valuation of $10 billion. DeepMind introduces Alpha Genome, significantly advancing genomic research with a model comparable to Alpha Fold but focused on gene functions. Taiwan imposes technology export controls on Huawei and SMIC, while Getty drops key copyright claims against Stability AI in a groundbreaking legal case. A new DeepMind research paper introduces a transformative approach to cognitive debt in AI tasks, utilizing EEG to assess cognitive load and recall in essay writing with LLMs. Timestamps + Links: (00:00:10) Intro / Banter (00:01:22) News Preview (00:02:15) Response to listener comments Tools & Apps (00:06:18) Google is bringing Gemini CLI to developers' terminals (00:12:09) Anthropic now lets you make apps right from its Claude AI chatbot Applications & Business (00:15:54) Sam Altman takes his ‘io' trademark battle public (00:21:35) Huawei Matebook Contains Kirin X90, using SMIC 7nm (N+2) Technology (00:26:05) AMD deploys its first Ultra Ethernet ready network card — Pensando Pollara provides up to 400 Gbps performance (00:31:21) Amazon joins the big nuclear party, buying 1.92 GW for AWS (00:33:20) Nvidia goes nuclear — company joins Bill Gates in backing TerraPower, a company building nuclear reactors for powering data centers (00:36:18) Mira Murati's Thinking Machines Lab closes on $2B at $10B valuation (00:41:02) Meta hires key OpenAI researcher to work on AI reasoning models Research & Advancements (00:49:46) Google's new AI will help researchers understand how our genes work (00:55:13) Direct Reasoning Optimization: LLMs Can Reward And Refine Their Own Reasoning for Open-Ended Tasks (01:01:54) Farseer: A Refined Scaling Law in Large Language Models (01:06:28) LLM-First Search: Self-Guided Exploration of the Solution Space Policy & Safety (01:11:20) Unsupervised Elicitation of Language Models (01:16:04) Taiwan Imposes Technology Export Controls on Huawei, SMIC (01:18:22) Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task Synthetic Media & Art (01:23:41) Judge Rejects Authors' Claim That Meta AI Training Violated Copyrights (01:29:46) Getty drops key copyright claims against Stability AI, but UK lawsuit continues

Join Jenn Bergstrom and the vBrownBag crew for a deep dive into chaos engineering for machine learning and AI models. Discover how deliberate failure injection can improve system resilience, explore real-world experiments on AI model vulnerabilities, and learn why testing for failure is critical in today's fast-moving AI landscape. Whether you're an engineer, data scientist, or tech leader, this conversation is packed with practical insights, cautionary tales, and a touch of humor. #ChaosEngineering #MachineLearning #AI #vBrownBag #AIOps #ModelResilience #TechTalk Chapters: 00:00 – Introduction & vBrownBag Welcome 02:45 – What Is Chaos Engineering? 10:45 – Netflix, Chaos Monkey, and the Origins 16:40 – Chaos Engineering for AI & ML Models 27:00 – Non-Determinism in LLMs and Testing Challenges 46:00 – Organizational Adoption & Q&A Resources: https://www.linkedin.com/in/jenn-bergstrom/ https://amzn.to/44JBw5D - "Security Chaos Engineering: Sustaining Resilience in Software and Systems" https://amzn.to/4l3fFMi - "Chaos Engineering: Site reliability through controlled disruption" https://amzn.to/4kiqY1W - "Chaos Engineering: System Resiliency in Practice" https://netflix.github.io/chaosmonkey/

In this episode of Tech It to the Limit, Sarah Harper and Elliott Wilson chat with Elizabeth Boudreau, ex-AWS exec and co-founder of Practical Acceleration. They kick off with a satirical “SnoreSense” pitch, then dive into real talk on building meaningful healthcare tech, covering equity, trust, and designing for life's seasons. Honest, smart, and full of heart—don't miss it.Key TakeawaysTech equity starts at the margins. Building inclusive digital health solutions means designing first for the communities most often left out. Not only is it ethical, it's a smart strategy.Startups need soul and structure. Elizabeth encourages founders to reject burnout culture and instead design businesses that align with their energy, values, and the season they're in.AI needs boundaries and trust. Success in health tech is about more than algorithms; it's about solving real problems, with real people, in ways that build confidence and connection.Talk to the people you're building for. Your user knows what's broken. You just have to ask. Assume less. Ask more. Build better.In this episode:[00:00:00] Introduction: July birthdays, post-Pride recovery, and co-host reunion in NYC[00:02:37] Startup satire: “Snore Sense” pitch parody AI pillows, shame graphs, and FDA awareness[00:08:18] Interview with Elizabeth Boudreaux, Co-Founder of Practical Acceleration[00:11:30] What is tech equity? Designing with, not just for, underserved communities[00:16:50] AI hype cycle: The danger of black box solutions in healthcare[00:18:00] The future of tech that disappears—ambient voice and reconnection at the bedside[00:19:55] Women in tech: Navigating leadership, equity at home, and saying yes to the unknown[00:26:07] A day in the life of a founder: Lists, calendars, and no such thing as “typical”[00:30:04] Redefining success: Building companies that match your life stage[00:35:35] Behind the scenes: Putting HIPAA data in the public cloud for the first time[00:40:50] Founder advice: Talk to your user, challenge your assumptions, solve real problems[00:45:12] Wise Nuggets: Career truths, growth seasons, and the ROI of building slowGuestElizabeth Boudreau is co-founder of Practical Acceleration, a firm that helps health tech companies scale with purpose. A digital transformation leader, she previously drove U.S. healthcare strategy at AWS, launching its first consumer diagnostics product during COVID-19.With a career built on innovation and inclusion, Elizabeth has led HIPAA-compliant cloud projects, championed techquity, and advised both startups and governments. Her mantra: success isn't about the grind, it's about building a life that works.ResourcesElizabeth Phillips BoudreauPractical Acceleration Elizabeth BoudreauSarah HarperSarah Harper Elliott WilsonElliott WilsonFlying Pig Consulting

Welcome to Holistic Investments, where we explore the future of technology and innovation! In this in-depth interview, we sit down with Sebastian Pfeiffer, Co-Founder and Managing Director of Impossible Cloud Network (ICN), a groundbreaking decentralized cloud platform challenging the dominance of traditional cloud giants like AWS, Google Cloud, and Microsoft Azure. Sebastian takes us through the fascinating origin story of ICN, its mission to decentralize the cloud, and how it leverages a multi-service DePIN (Decentralized Physical Infrastructure Network) to deliver enterprise-grade performance.Discover how ICN is addressing critical issues like digital sovereignty, vendor lock-in, and the growing demand for edge computing in the era of AI and Web3. From its ICNT token mechanics to strategic partnerships with industry leaders like Supermicro and IoTeX, this conversation uncovers why ICN is poised to reshape the $300B+ cloud computing industry. Learn about real-world use cases, regulatory compliance in the Swiss-EU framework, and ICN's vision for a decentralized, scalable, and open cloud ecosystem.************Follow Sebastian Pfeiffer:

In Episode 9 of Building Better Developers with AI, Rob Broadhead and Michael Meloche explore how cultivating essential habits for software developers, alongside AI tools and consistent routines, can unlock productivity, sharpen your skills, and accelerate long-term growth. Why Essential Habits for Software Developers Matter for Career Growth Rob and Michael emphasize that technical skills alone won't set you apart. Instead, it's your daily discipline and consistent habits that fuel success. As shared in the episode: “Success as a developer isn't just about what you know—it's about what you consistently do.” Essential habits for software developers, from daily practice to continuous learning, create momentum that turns average developers into high performers. How AI Supports the Best Habits for Software Developers AI can accelerate your growth, but only when used wisely. Rob and Michael stress that: AI-generated code requires critical review AI tools like CodeSignal and Codacy help improve coding habits Building AI chatbots sharpens your understanding of prompts and system behavior By incorporating AI tools into your daily routines, you strengthen the essential habits of modern software development. Mastering Time Management: A Core Habit for Productive Developers Effective time management is one of the most essential habits for software developers aiming to maximize output. Rob recommends the Pomodoro technique, supported by focus tools like Brain.fm, to create distraction-free work sessions. Michael offers a practical addition: Maintain daily task lists Document roadblocks and scope changes Prioritize meaningful work over busy tasks Time management habits like these reduce burnout and keep developers focused on what matters most. Continuous Learning: A Vital Habit for Software Developer Success One of the most powerful essential habits for software developers is embracing continuous learning. Rob and Michael suggest: Reading technical blogs, books, or documentation weekly Watching educational videos or listening to podcasts Staying up to date with frameworks, languages, and soft skills Rob explains: “Learning equals leverage—it's how you move from junior to lead.” They also invite listeners to request a free copy of their developer career roadmap book by emailing info@developerneur.com by the end of July. Tools and Techniques to Strengthen Developer Habits Rob and Michael recommend practical resources to help cultivate essential habits for software developers: Free AI tools and cloud credits from AWS, Azure, and GCP Static code analysis tools like SonarQube can be used to improve code quality Daily self-review of your code to identify and correct issues Experimenting with AI chatbots to boost prompt engineering skills By combining these tools with consistent habits, software developers can stay competitive and continuously improve. Final Thoughts: Start Building Essential Habits for Software Developers Today Whether it's time management, AI tools, daily practice, or continuous learning, success in software development comes from building better habits and sticking to them. If you want to boost productivity, sharpen your skills, and accelerate your career, focus on developing the essential habits that top software developers rely on. Stay Connected: Join the Developreneur Community We invite you to join our community and share your coding journey with us. Whether you're a seasoned developer or just starting, there's always room to learn and grow together. Contact us at info@develpreneur.com with your questions, feedback, or suggestions for future episodes. Together, let's continue exploring the exciting world of software development. Additional Resources Productivity Habits To Start Your Day Right The 21-Day Habit Building Challenge 3 Habits For Every Day and a Happier Life Code Reviews – Build Habits And Best Practices Building Better Developers With AI Podcast Videos – With Bonus Content

Quantum computing in 2025 is rapidly advancing toward commercialization, with breakthroughs in algorithms, scalable hardware, and cloud-based quantum services driving real-world applications across finance, healthcare, logistics, and cybersecurityThis week, Dave, Esmee, and Rob dive into the cutting edge of quantum computing with Catherine Vollgraff Heidweiller, Quantum AI PM at Google, and James Goeders, Head of Product for Google Quantum AI, exploring how far we've come since our June 2023 Quantumania! episode and what to expect from Willow—the bold fusion of quantum, AI, digital integration, deployment, and the broader tech ecosystem.TLDR00:46 Meet Catherine and James – intros and backgrounds02:22 Rob is confused about students using AI09:40 Deep dive with Catherine and James on the current state and future of Quantum48:01 Quantum isn't just tech—it's a whole new way of thinking1:01:37 Seize the moment and bringing external users onto quantum hardwareGuestCatherine Vollgraff Heidweiller: https://www.linkedin.com/in/cmv-vollgraffheidweiller/James Goeders: https://www.linkedin.com/in/james-goeders-8876a7164/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

In this episode of Weld Wednesday with AWS, I sit down with Mariana Ludmer—Operations Manager at California Welding Institute and long-time AWS volunteer—to talk about how welding competitions are shaping the next generation of welders. We cover the impact of AWS-sponsored competitions on student confidence, career readiness, and community engagement. Mariana shares how her section in Southern California has built one of the most active and inclusive welding competition circuits in the country, and how these events bring together students, employers, unions, and vendors. Whether you're an instructor, employer, or student, this episode highlights the real-world benefits of competition—from skill-building and certification to job placement and industry networking.   For more information on how you can get involved with AWS, check out there website here

The world has gone through several technology transformations in the past 30+ years. From the launch of the Internet to the rise of mobile, cloud computing, digital transformation, and now AI transformation. In our second live recording of Redefiners, Clarke Murphy goes in-studio at Goldman Sachs to talk with someone who's been through it all and continues to lead through change. As CIO at Goldman Sachs, Marco Argenti is redefining how business is done with the help of AI at one of the world's leading financial services firms. Marco takes us through his career in tech leadership roles at AWS, Nokia, and now Goldman Sachs, and shares his key lesson of focusing on the “why” before figuring out the “what” and the “how” when it comes to creating IT solutions. He discusses the three leadership skills that are critical when it comes to AI and how to balance the pace of AI business adoption with employee demands for faster change. He also talks about his commitment to cancer research and how AI will be a game changer when it comes to accelerating both research and new treatments. We'll also hear from Jennifer Flock, a leadership advisor in our Paris office, who explores what it takes for leaders to build transformation capabilities that last. Four things you'll learn from this episode: How to manage the pace of change and growing expectations of AI What are the key business challenges AI is helping to solve now and how will that evolve in the near future How leaders need to redefine how they manage a hybrid workforce of people and AI agents and how to create a cross-functional approach to AI across the C-suite How AI is accelerating cancer research and treatment If you enjoyed this episode, you might also like these Redefiners episodes: The Only Certainty Is Change: Nasdaq CEO Adena Friedman on AI, Innovation & Market Evolution Leadership Lounge: Unleashing AI's potential: Are you ready to lead the charge? AI or Die: A Conversation with Coveo Chairman and CEO Louis Têtu Leadership Lounge: How to Future-Proof Your Leadership Exploring the Art of Possible with Google and Alphabet President and Chief Investment Officer Ruth Porat

Send us a textThe landscape of cloud security is rapidly evolving as AWS flexes its muscles with a suite of new native security offerings unveiled at AWS re:Inforce. From enhanced threat correlation capabilities in AWS Security Hub to seamless Transit Gateway integration for Network Firewall, these announcements signal Amazon's strategic expansion into territory traditionally dominated by third-party security vendors.We dive deep into the HPE-Juniper acquisition that finally received regulatory approval, but with interesting conditions – including the requirement to license parts of the coveted Mist AI technology. This could potentially open doors for competitors to leverage the same technology that made Juniper so attractive to HPE in the first place, creating a fascinating dynamic in the networking market.The most compelling theme emerging from AWS re:Inforce centers around Amazon's continued investment in native security tooling. New offerings like AWS Shield Network Security Director and IAM Access Analyzer directly challenge third-party CSPM providers, while improvements to existing services reduce the friction and complexity of implementing robust security controls. For organizations already invested in the AWS ecosystem, these integrated solutions offer compelling advantages – but they also raise important questions about vendor lock-in and multi-cloud strategies.Security vendors without a strong moat or differentiated value proposition should be concerned. As cloud service providers continue to enhance their native security capabilities, the pressure on third-party tools will only intensify. This trend follows closely on the heels of Google's acquisition of Wiz, suggesting that cloud security is becoming an increasingly strategic battleground for the major providers.For security professionals navigating these waters, the proliferation of overlapping security services presents both opportunities and challenges. While AWS continues to simplify implementation, the growing catalog of similar-sounding services can create confusion about which tools to use in which scenarios. As we discuss on the podcast, this appears to reflect AWS's organizational structure as much as customer needs – shipping the org chart rather than truly differentiated services.What's your security strategy in this evolving landscape? Are you embracing native cloud security tools or maintaining investments in third-party solutions? The answers may vary widely depending on your organization's cloud adoption strategy, but one thing is clear – the security vendor ecosystem is transforming before our eyes.Purchase Chris and Tim's new book on AWS Cloud Networking: https://www.amazon.com/Certified-Advanced-Networking-Certification-certification/dp/1835080839/ Check out the Fortnightly 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

Kui Jia, Sumo Logic's Vice President of Engineering and Head of AI, shares how their AWS-powered AI agents transform chaotic security investigations into streamlined workflows.Topics Include:Kui Jia leads AI Engineering at Sumo LogicSREs and SOC analysts work under chaotic, high-pressure conditionsTeams constantly switch between different vendor tools and platformsInvestigation requires quick hypothesis formation and complex query writingSumo Logic processes petabytes of data daily across enterprisesCompany serves 2,000+ enterprise customers for 15 yearsPlatform focuses on observability and cybersecurity use casesInvestigation journey: discover, diagnose, decide, act, learn phasesData flows from ingestion through analytics to human insightsTraditional workflow relies heavily on tribal domain knowledgeSenior engineers create queries that juniors struggle to understandWar room situations demand immediate answers, not learning curvesContext switching between tools wastes time and creates frictionMultiple AI generations deployed: ML anomaly detection to GenAIAgentic AI enables reasoning, planning, tools, and evaluation capabilitiesMo Copilot launched at AWS re:Invent as AI agent suiteNatural language converts high-level questions into Sumo queriesSystem provides intelligent autocomplete and multi-turn conversationsInsight agents summarize logs and security signals automaticallyKnowledge integration combines foundation models with proprietary metadataAI generates playbooks and remediation scripts for automated actionsThree-tier architecture: Infrastructure, AI Tooling, and Application layersBuilt on AWS Bedrock with Nova models for performanceFocus on reusable infrastructure and AI tooling componentsData differentiation more important than AI model selectionGolden datasets and contextualized metadata are development challengesGuardrails and evaluation frameworks critical for enterprise deploymentAI observability enables debugging and performance monitoringEnterprise agents achievable within one year development timelineFuture vision: multiple AI agents collaborating with human investigatorsParticipants:Kui Jia – Vice President of AI Engineering, Head of AI, Sumo LogicFurther Links:Website: https://www.sumologic.com/Sumo Logic in the AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Brian Gracely (@bgracely) and Brandon Whichard (@bwhichard, @SoftwareDefTalk) discuss the top stories in Cloud and AI from June 2025.SHOW: 937SHOW TRANSCRIPT: The Cloudcast #937 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST:  "CLOUDCAST BASICS"SPONSORS:[VASION] Vasion Print eliminates the need for print servers by enabling secure, cloud-based printing from any device, anywhere. Get a custom demo to see the difference for yourself.[FCTR] Try FCTR.io (that's F-C-T-R dot io) free for 60 days. Modern security demands modern solutions. Check out Fctr's Tako AI, the first AI agent for Okta, on their websiteSHOW NOTES:Link to June 2025 News and ArticlesFEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

The Daytona founders - Ivan Burazin and Vedran Jukic - discuss their pivot to an AI agent cloud. We dig into the new infrastructure requirements of developing agents that need their own sandboxes to operate in.A year ago, we had them on to talk about Daytona giving us remote development environments for humans, and they have now pivoted the company to focusing on providing cloud hosting environments for AI agents to operate.I suspect this is something we're all gonna eventually need to tackle as we work to automate more of our software engineering. So we spend time breaking down the concepts and the real world needs of humans developing agents, and then the needs of AI that require places to run their own tools in code.Check out the video podcast version here https://youtu.be/l8LBqDUwtV8Creators & Guests Cristi Cotovan - Editor Bret Fisher - Host Beth Fisher - Producer Ivan Burazin - Guest Vedran Jukic - Guest You can also support my content by subscribing to my YouTube channel and my weekly newsletter at bret.news!Grab the best coupons for my Docker and Kubernetes courses.Join my cloud native DevOps community on Discord.Grab some merch at Bret's Loot BoxHomepage bretfisher.com (00:00) - Intro (06:08) - Daytona's Sandbox Technology (12:57) - Practical Applications and Use Cases (14:29) - Security and Isolation in AI Agents (17:59) - Start Up Times for Sandboxing and Kubernetes (22:51) - Daytona vs Lambda (31:06) - Rogue Models and Isolation (34:54) - Humanless Operations and the Future of DevOps (47:17) - SDK vs MCP (50:15) - Human in the Loop (51:13) - Daytona: Open Source vs Product Offering

In today's Cloud Wars Minute, I break down the latest growth rankings among the top 10 cloud providers, highlight Google Cloud's continued lead, and show how legacy giants like Oracle and SAP are rapidly transforming into cloud powerhouses.Highlights00:15 — I wanted to share with you the latest numbers for the Cloud Wars Growth Chart, where we take a look at the growth rates of the Cloud Wars Top 10 companies. Google Cloud holds on to the number one spot. But SAP and Oracle are breathing down Google Cloud's neck. Google Cloud grew in its most recent quarter by 28%, with revenue of $12.3 billion.00:51 — Tied for second place are these two so-called legacy companies. Both grew in their most recent quarters by 27%. SAP's cloud revenue is now $5.3 billion, Oracle's $6.7 billion. Next quarter, it is likely that Oracle could well be number one on this list. But that's all the future, and we will see how that goes.01:42 — In fourth place is Microsoft, 20% growth rate on $42.4 billion in revenue. ServiceNow grew 19% as it cracked $3 billion for the first time in a quarter. AWS, 17% — $29.3 billion. Similar to what we said about Microsoft: 17% growth rate on almost $30 billion in revenue is very impressive.03:00 — Workday, up almost 14%, to $2.1 billion. Salesforce at 8%, $9.8 billion. Snowflake, up 26% to $997 million. I'm not placing Snowflake within the regular run until its quarterly revenue exceeds $1 billion. It's extremely likely that next quarter, we'll see Snowflake take its place in the regular run of companies. IBM does not report its cloud revenue anymore. I hope IBM will change that policy.04:22 — It's fascinating to see a purely built-for-the-cloud company, Google Cloud, in the number one spot. And who's behind it? Two venerable companies — mostly still in the software business completely for SAP — but Oracle now, in addition to its fast-growing cloud software business, also has a hypergrowth cloud infrastructure business. Visit Cloud Wars for more.

In this special solo episode, I'm taking a moment to talk directly to all of you—the listeners who've made Arc Junkies what it is today. I've been grinding hard for the past five years, juggling family, business, and content creation, and it's time for a short reset. I'll still be dropping Weld Wednesdays with AWS, but the weekly episodes and State of the Arc are on pause through July and August. In this episode, I explain why I'm stepping back, what's ahead for the show, and how you can stay connected in the meantime. This isn't goodbye—it's just a much-needed breather. See you in September.   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 Weld Summit https://www.aws.org/community-and-events/conferences-and-events/welding-summit/registration#regform 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   International Welding Bureau Internationalweldingbureau.com   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. Walter Surface Technologies https://hubs.ly/Q034MdgX0 ISOTUNES: Instagram: @isotunesaudio Online: https://shop.isotunes.com/arcjunkies10.  Use ARCJUNKIES10 at checkout and save $10 on your purchase    

The Cloud Gambit is joining the Packet Pushers network! Launched in 2023 as an independent podcast, The Cloud Gambit cuts through the hype to deliver what actually matters in cloud and AI. Hosts William Collins and Eyvonne Sharp decode the strategies, technologies, and market forces reshaping enterprise infrastructure. Built for engineers who lead, leaders who... Read more »

Simon and Jillian take you through all the big security announcements from AWS re:Inforce plus a host of cool new features and price reductions!

AWS Morning Brief for the week of Monday, June 30th, with Corey Quinn. Links:What is AWS Security Hub?Amazon data center complexCode reviews in you IDEAWS Local Zones Features - AWS Last Week in AWS Slack communityAmazon VPC raises default Route Table capacityAnnouncing Intelligent Search for re:Post and re:Post PrivateHow to Set Up Automated Alerts for Newly Purchased AWS Savings PlansIntroducing AWS Lambda native support for Avro and Protobuf formatted Apache Kafka events

Wilson Patton, Solutions Architect for Trellix, demonstrates how their four-pillar Gen-AI framework transforms incident alerts into actionable intelligence.Topics Include:Wilson Patton: Trellix Solutions Architect, 20 years government experienceWitnessed evolution from basic firewalls to zero trust architecturesTrellix combines McAfee and FireEye heritage and capabilitiesAI integration isn't new - machine learning embedded for yearsPartnership with AWS Bedrock accelerates Gen-AI development capabilities2014: Developed Impossible Travel Analytic for anomaly detection2016: Launched Guided Investigations framework for SOC analysts2023: Introduced AI Guided Investigations with contextual understanding64% of public sector exploring AI adoption activelyOnly 21% have requisite data ready for trainingGen-AI won't magically clean up messy, siloed data74% of executives doubt AI information accuracy currentlyMonday morning alert queue: 76 high, 318 medium alertsAdversaries steal credentials 90 days before major incidentsCritical breadcrumbs hidden in low-priority informational alerts1000+ data-driven investigative questions developed over eight yearsSkilled analysts take too long reading all answersAutomate analysis, distill thousands down to ten critical alertsFour foundational pillars for effective, trustworthy Gen-AI implementationCybersecurity expertise essential - Gen-AI is just a toolFrameworks ensure reliability and consistent prompting for productionMultiple LLM models tested through AWS Bedrock platformQuality diverse datasets required for accurate question answeringGood prompts combine evidence, context, and comprehensive informationTesting shows order of magnitude price differences between modelsNova Micro provides cost-effective results for many scenariosPrompt engineering superior to fine-tuning for avoiding biasAgentic AI performs multi-step investigations with live dataStrategic model choice based on specific requirements and costsTransparent audit trails mandatory for government compliance requirements Participants:Wilson Patton – Solutions Architect, TrellixFurther Links:Website: https://www.trellix.comTrellix in the AWS MarketplaceSee 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, we sat down with AJ Yawn, Author of the upcoming book GRC Engineering for AWS and Director of GRC Engineering at Aquia, to discuss how GRC engineering can transform compliance.We discussed the current pain points and challenges in Governance, Risk, and Compliance (GRC), how GRC has failed to keep up with software development and the threat landscape, and how to leverage cloud-native services, AI, and automation to bring GRC into the digital era.We dove into:What the phrase “GRC Engineering” means and how it differs from traditional Governance, Risk and ComplianceWhat some of the major issues are with traditional compliance in the age of DevSecOps, Cloud, API's, Automation and now AISpecific examples of GRC Engineering, including the use of automation, API's and cloud-native services to streamline security control implementation, assessment and reportingThe promise and potential of AI in GRC, and how AJ is using various models for control assessments, artifact creation and more, and how GRC practitioners should be leveraging AI as a force multiplierAJ's new book “GRC Engineering For AWS: A Hands-On Guide to Governance, Risk and Compliance Engineering”

Un fallo eléctrico histórico deja media España a oscuras… pero el debate sigue encendido… Notas y referencias en https://www.tierradehackers.com/episodio-136 Puedes apoyar este Podcast en Patreon y obtener beneficios exclusivos. Además, estarás ayudando a que siga publicándose muchos años más. https://www.tierradehackers.com/patreon/ ⭐️ SPONSORS ⭐️ ️‍♂️ Flare Flare es una plataforma de inteligencia de amenazas y monitoreo de la Dark Web que te ayuda a estar un paso por delante de los ciber-delincuentes. Puedes solicitar una prueba gratuita como oyente de Tierra de Hackers aquí:  https://try.flare.io/martin-vigo/ ️ Prowler Audita y mejora tu seguridad en AWS, Azure, GCP, Kubernetes y M365 con visibilidad centralizada. Solicita una prueba gratuita en el siguiente link:  https://prowler.com/?utm_source=tierra_de_hackers ️ YouTube: https://www.youtube.com/tierradehackers  Twitch: https://www.twitch.tv/tierradehackers ➡️ Twitter: https://www.twitter.com/tierradehackers ➡️ LinkedIn: https://www.linkedin.com/company/tierradehackers ➡️ Instagram: https://www.instagram.com/tierradehackers ➡️ Facebook: https://www.facebook.com/tierradehackers ➡️ TikTok: https://www.tiktok.com/@tierradehackers No olvides unirte a nuestra comunidad de Discord:  https://www.tierradehackers.com/discord

Everyone wants the latest and greatest AI buzzword. But at what cost? And what the heck is the difference between algos, LLMs, and agents anyway? Tune in to find out.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Choosing AI: Algorithms vs. AgentsUnderstanding AI Models and AgentsUsing Conditional Statements in AIImportance of Data in AI TrainingRisk Factors in Agentic AI ProjectsInnovation through AI ExperimentationEvaluating AI for Business SolutionsTimestamps:00:00 AWS AI Leader Departs Amid Talent War03:43 Meta Wins Copyright Lawsuit07:47 Choosing AI: Short or Long Term?12:58 Agentic AI: Dynamic Decision Models16:12 "Demanding Data-Driven Precision in Business"20:08 "Agentic AI: Adoption and Risks"22:05 Startup Challenges Amidst Tech Giants24:36 Balancing Innovation and Routine27:25 AGI: Future of Work and SurvivalKeywords:AI algorithms, Large Language Models, LLMs, Agents, Agentic AI, Multi agentic AI, Amazon Web Services, AWS, Vazhi Philemon, Gen AI efforts, Amazon Bedrock, talent wars in tech, OpenAI, Google, Meta, Copyright lawsuit, AI training, Sarah Silverman, Llama, Fair use in AI, Anthropic, AI deep research model, API, Webhooks, MCP, Code interpreter, Keymaker, Data labeling, Training datasets, Computer vision models, Block out time to experiment, Decision-making, If else conditional statements, Data-driven approach, AGI, Teleporting, Innovation in AI, Experiment with AI, Business leaders, Performance improvements, Sustainable business models, Corporate blade.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Try Gemini 2.5 Flash! Sign up at AIStudio.google.com to get started. Try Gemini 2.5 Flash! Sign up at AIStudio.google.com to get started.

Jeff Chow, Chief Product and Technology Officer at Miro, explores how harnessing AI — in addition to reshaping teams and workflows — accelerates the product development lifecycle. He also shares insight into how Miro is embracing new technology and ways of working to transform its Innovation Workspace.Topics Include:Platform & PartnershipMiro serves 250,000+ customers with 90+ million knowledge workers using their Innovation WorkspacePlatform supports discovery, definition, and delivery phases of innovation processReal-time multiplayer canvas enables team co-creation across multiple formats, including seamless transitions between structured and unstructured work.Three-tier AWS partnership: infrastructure backbone, AI services (Bedrock/Q), and joint customer solutionsInnovation Challenges & FrictionProduct development lifecycle bottlenecks: separate tools per function create process delays and collaborative frictionPain points include stalled product kickoffs, lengthy design ideation cycles, and process delays from engineering architecture discussions.Leadership struggles with project visibility and strategic alignment across initiativesAI TransformationAI fundamentally shifts workflows with universal knowledge access at fingertipsCraft democratization blurs traditional role boundaries (PMs prototyping, developers designing)Agentic workflows and agents collapse traditional development stack layersAI shortcuts enable one-button synthesis of workshops into product briefsProduct development lifecycle compression from 20 steps to 5 key phasesBedrock and Q services create significant business accelerationOrganizational DesignCommon organizational rhythms and rituals create shared working languageDriving maximum impact by aligning on big initiatives vs. distributed prioritiesCollaborating across all functions — product, engineering, design — and at all organizational levelsBottom-up innovation requiring clear problem communication throughout organizationInclusive environments welcoming ideas from junior and introverted team membersWorking backwards planning and PR FAQs adopted from Amazon methodologiesCreating the next big thing with MiroLarge enterprises use Miro for strategic planning, OKR planning, capacity planning, roadmappingVisual proof-of-concepts and live demos make abstract concepts tangibleSame-day product brief delivery improves team collaboration and ownershipVoice of customer integration: automated synthesis of feedback into feature developmentMiro uses Miro internally to build next-generation featuresEnhanced employee engagement alongside improved business outcomesCustomers consistently achieve 2-3x time-to-market improvementsParticipants:Jeff Chow – Chief Product and Technology Officer, MiroJohan Broman – EMEA ISV Head of Solutions Architecture, AWSFurther Links:Website: https://miro.com/page/product-leaders/Miro in the AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

BNP Paribas upgraded Amazon (AMZN) and upped its price target for the Mag 7 giant. Jeff Pierce notes Amazon remains off its all-time high as the SPX hit its own milestone Friday. He sees the company's AWS cloud and ecommerce powerhouse benefitting it long-term, as long as tariffs don't hinder growth. Dan Deming later 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

What happens when you try to monitor something fundamentally unpredictable? In this featured guest episode, Wayne Segar from Dynatrace joins Corey Quinn to tackle the messy reality of observing AI workloads in enterprise environments. They explore why traditional monitoring breaks down with non-deterministic AI systems, how AI Centers of Excellence are helping overcome compliance roadblocks, and why “human in the loop” beats full automation in most real-world scenarios.From Cursor's AI-driven customer service fail to why enterprises are consolidating from 15+ observability vendors, this conversation dives into the gap between AI hype and operational reality, and why the companies not shouting the loudest about AI might be the ones actually using it best.Show Highlights(00:00) - Cold Open(00:48) – Introductions and what Dynatrace actually does(03:28) – Who Dynatrace serves(04:55) – Why AI isn't prominently featured on Dynatrace's homepage(05:41) – How Dynatrace built AI into its platform 10 years ago(07:32) – Observability for GenAI workloads and their complexity(08:00) – Why AI workloads are "non-deterministic" and what that means for monitoring(12:00) – When AI goes wrong(13:35) – “Human in the loop”: Why the smartest companies keep people in control(16:00) – How AI Centers of Excellence are solving the compliance bottleneck(18:00) – Are enterprises too paranoid about their data?(21:00) – Why startups can innovate faster than enterprises(26:00) – The "multi-function printer problem" plaguing observability platforms(29:00) – Why you rarely hear customers complain about Dynatrace(31:28) – Free trials and playground environmentsAbout Wayne SegarWayne Segar is Director of Global Field CTOs at Dynatrace and part of the Global Center of Excellence where he focuses on cutting-edge cloud technologies and enabling the adoption of Dynatrace at large enterprise customers. Prior to joining Dynatrace, Wayne was a Dynatrace customer where he was responsible for performance and customer experience at a large financial institution. LinksDynatrace website: https://dynatrace.comDynatrace free trial: https://dynatrace.com/trialDynatrace AI observability: https://dynatrace.com/platform/artificial-intelligence/Wayne Segar on LinkedIn: https://www.linkedin.com/in/wayne-segar/SponsorDynatrace: http://www.dynatrace.com 

Welcome to episode 308 of The Cloud Pod – where the forecast is always cloudy! Justin and Matt are on hand and ready to bring you an action packed episode. Unfortunately, this one is also lullaby free. Apologies. This week we're talking about Databricks and Lakebridge, Cedar Analysis, Amazon Q, Google's little hiccup, and updates to SQL – plus so much more! Thanks for joining us.  Titles we almost went with this week: KV Phone Home: When Your Key-Value Store Goes AWOL When Your Coreless Service Finds Its Core Problem Oracle’s Vanity Fair: Pretty URLs for Pretty Penny From Warehouse to Lakehouse: Your Free Ticket to Cloud Town 1⃣Databricks Uno: Because One is the Loneliest Number Free as in Beer, Smart as in Data Science Cedar Analysis: Because Your Authorization Policies Wood Never Lie Cedar Analysis: Teaching Old Policies New Proofs Amazon Q Finally Learns to Talk to Other Apps Tomorrow: Visual Studio’s Predictive Edit Revolution The Ghost of Edits Future: AI Haunts Your Code Before You Write It IAM What IAM: Google’s Identity Crisis Breaks the Internet Permission Denied: The Day Google Forgot Who Everyone Was 403 Forbidden: When Google’s Bouncer Called in Sick AWS Brings the Heat to Fusion Research Larry’s Cloud Nine: Oracle Stock Soars on Forecast Raise OCI You Later: Oracle Bets Big on Cloud Growth Oracle’s Crystal Ball Shows 40% Cloud Growth Ahead Meta Scales Up Its AI Ambitions with $14 Billion Investment From FAIR to Scale: Meta’s $14 Billion AI Makeover Congratulations Databricks one, you are now the new low code solution.  AWS burns power to figure out how power works AI Is Going Great – Or How ML Makes Money  02:12 Zuckerberg makes Meta’s biggest bet on AI, $14 billion Scale AI deal Meta is finalizing a $14 billion investment for a 49% stake in Scale AI, with CEO Alexandr Wang joining to lead a new AI research lab at Meta.  This follows similar moves by Google and Microsoft acquiring AI talent through investments rather than direct acquisitions to avoid regulatory scrutiny. Scale AI specializes in data labeling and annotation services critical for training AI models, serving major clients including OpenAI, Google, Microsoft, and Meta.  The company’s expertise covers approximately 70% of all AI models being built, providing Meta with valuable intelligence on competitor approaches to model development. The deal reflects Meta’s struggles with its Llama AI models, particularly the underwhelming reception of Llama 4 and delays in releasing the more powerful “Behemoth” model due to concerns about competitiveness with OpenAI and

The telecom industry is undergoing a fundamental transformation. This shift is creating new business opportunities and services but also brings significant challenges in transformation and modernization. In this special bonus episode, building on our Reimagining Telecoms mini-series, we dive into the current opportunities shaping today's dynamic telco landscape.This week, Dave, Esmee and Rob talk to Vivek Badrinath,  Director General of the GSMA about the current opportunities shaping today's dynamic telco landscape and the role of GSMA. TLDR01:38 Introduction to Vivek and the bonus episode03:48 In-depth conversation with Vivek Badrinath42:13 Can empathy become a strategic KPI in telecom?47:20 Event in Uzbekistan and doubling down on the digital ecosystem GuestVivek Badrinath: https://www.linkedin.com/in/vivekbadrinath/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/with Praveen Shankar: https://www.linkedin.com/in/praveen-shankar-capgemini/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

MCP, or Model Context Protocol, is an open-source project originally created by Anthropic. MCP is designed to let AI agents to connect to data repositories, applications, business and developer tools, and other agents to execute tasks and carry out instructions. Day Two DevOps explores the capabilities and pitfalls of MCP, how the protocol works, and... Read more »

MCP, or Model Context Protocol, is an open-source project originally created by Anthropic. MCP is designed to let AI agents to connect to data repositories, applications, business and developer tools, and other agents to execute tasks and carry out instructions. Day Two DevOps explores the capabilities and pitfalls of MCP, how the protocol works, and... Read more »

In the first edition of Omni Talk's new monthly series, Chris Walton and Anne Mezzenga team up with AWS's Daniele Stroppa to spotlight the Retail Tech Startup of the Month—and the inaugural winner is Botify. Learn how Botify helps brands improve discoverability across both traditional and generative search engines by going beyond SEO to optimize content visibility for bots and agents. Discover why Botify's approach is a big win for brands navigating the evolving consumer search landscape, and how it also helps reduce operational costs. Key moments from the interview: 00:00 – Intro to new Omni Talk segment with AWS: Retail Tech Startup of the Month 00:33 – Meet Daniele Stroppa, AWS Worldwide Technical Leader for Retail 01:01 – Daniele's role in retail innovation and partner strategy at AWS 02:07 – First award winner revealed: Botify 02:19 – What Botify does: improving brand visibility across search platforms 02:54 – Why visibility in generative search (Perplexity, ChatGPT) matters 03:37 – How Botify goes beyond traditional SEO 04:06 – Analyzing bot and agent behavior on brand websites 04:23 – Helping brands ensure critical content is discoverable 04:41 – Long-term retail implications: revenue, brand recognition, infrastructure cost savings 05:31 – Congrats to Botify and final thoughts on the startup's impact Music by hooksounds.com #retailtech #StartupOfTheMonth #aws #Botify #omnitalkretail #ecommerceseo #generativeai #retailai #discoverability #digitalcommerce Brought to you in partnership with AWS

In this week's Omni Talk Retail Fast Five, sponsored by the A&M Consumer and Retail Group, Simbe, Mirakl, Ocampo Capital, Infios, and ClearDemand, Chris and Anne discussed: - SpartanNash's merger with C&S Wholesale Grocers - Whatnot, the $5 billion shopping app you probably haven't heard of - Walmart equipping its store associates with mobile AI tools - H-E-B piloting autonomous deliveries in Austin, TX - Amazon testing tighter grocery bundling for same-day deliveries - And AWS's Daniele Stroppa also dropped by to help us hand out a new award we are giving out each month in partnership with AWS, and we are calling it the Retail Startup of the Month There's all that, plus french fry pizza, steamy romance novels, and whether Chris prefers bar soap or body wash in the shower. P.S. Be sure to check out all our other podcasts from the past week here, too: https://omnitalk.blog/category/podcast/ P.P.S. Also be sure to check out our podcast rankings on Apple Podcasts and on Feedspot Music by hooksounds.com #RetailNews #WalmartAI #WhatnotApp #RetailTech #GroceryDelivery #RetailPodcast #OmniTalk #AmazonGrocery #LivestreamShopping #RetailInnovation #SpartanNash #Botify

From agriculture to collision avoidance, space data is becoming continuously more important in decision-making and predictive analytics for many industries in going about their day-to-day tasks. In this podcast, hear Yudhajeet Dasgupta, Head of Solutions Architecture Aerospace and Satellite at AWS, share his knowledge on cloud computing for space and all the ways generative AI can help make life on earth more efficient for humanity.

Andrea Malagodi, CTO of Sonar, discusses how the company successfully transitioned from on-premise to SaaS, leveraging AWS partnership and maintaining focus on developer-centric code quality and security solutions.Topics Include:Andrea Malagodi is CTO of Sonar, guest on podcastSonar founded 16+ years ago by three software engineersFounders wanted to help developers understand code quality issuesFocus on giving developers precise, actionable insights for improvementProducts include SonarQube Server, Cloud, and IDE versionsRecent acquisitions: ACR, Tidelift, and Structure 101 companiesSaaS journey began seven years ago with SonarQube CloudInitially targeted individual developers, then expanded to enterprisesNow multi-region with comprehensive enterprise features availableSeven million developers rely on Sonar's solutions globally400,000 organizations and 28,000 enterprise customers use SonarStarted SaaS to test market demand, not assumptionsEngaged customers early to understand migration requirements neededRecommends alpha versions with design customers for feedbackFree tier for open-source code enables quick trialEnterprise certifications (ISO 27001, SOC 2) build trustAWS partnership includes enterprise support and technical resourcesUsed CDK for infrastructure-as-code, experienced early adoption challengesMulti-region strategy should be considered from the beginningAWS Learning partnership certified all engineers in cloudCloud enables faster development cycles than traditional infrastructureRecommends avoiding architectural one-way doors during transitionConsider data residency requirements for global customer baseAI-generated code creates productivity gains but needs validationSonar provides deterministic rules for AI-generated code reviewWorking on MCP protocol and AI code quality solutionsSecurity approach is "start left" not "shift left"Advanced Security offering includes dependency scanning and vulnerabilitiesAvailable on sonarsource.com and AWS MarketplaceFree tier offers 50,000 lines of code analysisParticipants:Andrea Malagodi – Chief Technical Officer, SonarFurther Links:Website: www.sonarsource.comSonar in the AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Developer experience is one of the areas where AI applications are showing significant return on investment, but there are significant hurdles to overcome in both changing established development patterns, as well as integrating AI tooling. Analyst Jean Atelsek and AWS vice president for developer experience Deepak Singh join host Eric Hanselman to explore the current state of AI code assistance and look at where it's headed. Auto-complete, where the next bit of a line of code is filled in for a programmer, has been evolving over a number of years, but the arrival of agents to augment code generation and task automation is being to revolutionize software development. Changing development patterns is hard, but the benefits offer strong incentives to change habits. Where early uses had AI engines generate smaller code snippets that developers integrated, that's changing to having AI tackle full functions that are then reviewed and corrected. Tooling around AI implementations are tailoring they way in which they interact with individual developers, enhancing their experience. Application modernization is an area where AI can shine, as it can assess a massive codebase whose authors are no longer available and provide not only documentation, but also prioritize recoding efforts. It's a task where the hours required for manual assessment can be daunting and error prone. Leveraging AI code generation securely requires that organizations have sufficiently secure development pipelines. Mitigating risks from confabulation and errors in AI generated code is the same process as ought to be in place for human coders, an area where some less mature organizations may have some catching up to do. More S&P Global Content: The 2025 Generative AI Outlook For S&P Global subscribers: Can generative AI modernize legacy code bases? It depends Tech Trend in Focus: Generative AI in programming Generative AI Market Monitor & Forecast Credits: Host/Author: Eric Hanselman Guests: Jean Atelsek, Deepak Singh Producer/Editor: Adam Kovalsky Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith

In this episode of Yet Another Value Podcast, host Andrew Walker is joined by Guowei from the substack "Yummy Century Stocks" for an extensive discussion on EchoStar (SATS). They dig into the company's complex structure, diving deep into its failing satellite and pay TV segments, and the potential trapped value in its wireless spectrum assets. The conversation unpacks regulatory drama with the FCC, speculation around a Trump Mobile tie-in, and the looming potential for bankruptcy. With both long and short positions from top investors and a potential valuation ranging from zero to $100+ per share, this is one of the market's most fascinating distressed plays.____________________________________________________[00:00:00] Andrew introduces EchoStar and guest[00:02:54] Overview of EchoStar's three business units[00:06:54] Wireless network specs and performance issues[00:11:36] Realistic market challenges and consumer view[00:17:08] Valuation estimate for SATS spectrum[00:19:42] Pushback on spectrum market and caps[00:22:58] Changing spectrum demand and infrastructure[00:24:45] Three core SATS spectrum bands[00:25:32] AWS-3 and AWS-4 deep dive[00:29:47] FCC's current investigation and history[00:34:00] Simington's resignation and FCC politics[00:35:02] Trump intervenes, Trump Mobile theory[00:39:19] Potential regulatory settlement outcomes[00:41:09] Market comps for spectrum valuation[00:44:39] Unique legal nature of spectrum assets[00:47:51] Why bankruptcy could benefit EchoStar[00:50:44] Impact of bankruptcy on FCC issues[00:53:21] Risks to spectrum ownership in court[00:54:52] Equity protection in bankruptcy scenario[00:57:42] Possible strategic paths and constraints[01:00:42] Equity thesis despite complex unlock path[01:04:12] Convert notes vs equity pre-bankruptcy[01:07:00] Market speculation and timing expectations[01:08:30] Bankruptcy analogs and comparison to GGP[01:09:34] Challenges to network scaling and valueLinks:Yet Another Value Blog: https://www.yetanothervalueblog.com See our legal disclaimer here: https://www.yetanothervalueblog.com/p/legal-and-disclaimer

In this episode we talk to Rizel Scarlett - Tech Lead at Block. She talks about vibe coding, MCPs, how to do it right, and then a live demo! Join us for excellent insights & fun! 00:00 - Intro 07:05 - What is "vibe coding"? 13:34 - The Problem 15:22 - Enter MCPs 28:42 - Live Demo! 31:07 - The Dark Side 32:35 - How to be responsible How to find Rizel: https://www.linkedin.com/in/rizel-bobb-semple/ Rizel's links: https://block.github.io/goose/

Stepping outside your comfort zone can shape your career in unexpected and rewarding ways. That's exactly what Jenny Hofler, Director, Early Career Recruiting, Global Talent Acquisition at Labcorp has done — and now she's building opportunities for early career talent at a global scale. On this episode, she joins host Ryan Dull, and they discuss how Jenny's journey from a communications graduate to a TA leader has informed her passion for early talent and inclusive hiring.Key Takeaways:(02:33) Jenny's non-traditional entry into talent acquisition.(04:20) Her transitions across Fidelity, MetLife, AWS and eventually to Labcorp.(06:37) An overview of Labcorp's global presence and mission.(07:59) Internships across the globe — from the US to Singapore and Bulgaria.(10:00) Enhancing internal and external communications around early talent.(13:34) Leveraging data to improve conversion, diversity and retention.(15:40) Taking ownership of the internship experience beyond recruitment.(16:51) What's next: evolving internship programming and university outreach.(18:34) Advice for job seekers and those transitioning into TA.(20:05) TA professionals inspire creativity, perseverance, and growth.Resources Mentioned:Jenny Hoflerhttps://www.linkedin.com/in/jennyhoflerlovestalent/Labcorp | LinkedInhttps://www.linkedin.com/company/labcorp/Labcorp | Websitehttps://www.labcorp.com/This episode is brought to you by Sagemark HR.Sagemark HR can help you:✔ Improve your talent practices and make better, more informed people decisions.After 20+ years of experience leading Recruiting and Talent Acquisition across a wide variety of industries, I've seen enough hires (over 100,000 to date) to know that hiring decisions truly can make or break an organization.✔ Identify opportunities to not only improve your talent practices, but also delivering tangible business results.We understand every organization is different, and there's no one-size-fits-all magic solution. So we listen first and identify the gaps and sticking points in your current process before ever recommending a solution.✔ Bridge the gap from “traditional” to modern recruiting, without the painful learning curve.We believe recruiting, talent, and HR technology is a deep well of untapped business potential, and our mission is to help you identify and implement those hiring tools in a way that works for you.If you're interested in learning more, you can reach me at:www.sagemarkhr.com✉ ryan.dull@sagemarkhr.com#Talent #Recruiters #Recruiting #HRTech

O Impacto da IA Generativa no Presente e Futuro dos DadosPrepare-se para uma conversa de altíssimo nível sobre como a Inteligência Artificial Generativa está transformando o mundo dos dados, das empresas e das carreiras. Neste episódio, Luan Moreno recebe Eduardo Ordax, Líder de IA Generativa na AWS, e Mateus Oliveira para discutir, sem rodeios, os impactos reais da IA no mercado.O que você vai aprender neste episódio:Como a IA Generativa está mudando a forma como construímos pipelines, produtos e soluções de dados.Os principais desafios que empresas enfrentam ao implementar GenAI — e por que tecnologia não é mais o problema, mas sim pessoas e dados.O papel da Engenharia de Dados no mundo da IA e como ela se conecta com conceitos como LLMOps, Fine-Tuning, Prompt Engineering e Data-Centric AI.Por que o domínio dos fundamentos nunca foi tão importante para quem trabalha (ou quer trabalhar) com dados e IA.Reflexões sobre o futuro das carreiras em dados e IA — será que os engenheiros de dados, cientistas de dados e desenvolvedores serão substituídos ou terão um papel ainda mais relevante?As diferenças entre usar IA para brincar no ChatGPT e levar IA para resolver problemas de negócios no mundo real, em escala e em produção.Este é um papo sobre IA. É uma imersão completa sobre os desafios, as oportunidades e a visão de futuro para quem trabalha com dados, engenharia, machine learning e inteligência artificial. Luan Moreno = https://www.linkedin.com/in/luanmoreno/

When you can't protect everything at once, how do you decide what matters most? This episode tackles the core challenge of security prioritization. Geet Pradhan, Senior Security Engineer at Lime joins the podcast to share his framework for building a SecOps plan when you're a small team. Learn why his team made AWS logs their number one priority , how to leverage compliance requirements to guide your strategy , and why he advises starting with a small list of 1-5 critical applications instead of 35. Tune in for a conversation about strategic security for the modern cloud environment.Guest Socials -⁠⁠ ⁠⁠Geet's Linkedin Podcast Twitter - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@CloudSecPod⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you want to watch videos of this LIVE STREAMED episode and past episodes - Check out our other Cloud Security Social Channels:-⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security Podcast- Youtube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠- ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security Newsletter ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠- ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security BootCamp⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you are interested in AI Cybersecurity, you can check out our sister podcast -⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ AI Cybersecurity PodcastQuestions asked:(00:00) Introduction(00:32) Meet Geet Pradhan: Senior Security Engineer at Lime(01:17) What is Detection & Response in 2025?(04:35) Defining the Cloud Detection & Response Pipeline(09:42) Why SIEM-Only Alerts Don't Work for Remote Teams(12:02) How to Choose Your First Log Sources(17:00) Building Security Culture: How to Not Be "The Police"(22:45) Where to Find Pre-Built Detection Rules & Alerts(28:38) On-Prem vs. Cloud: Why The Threat Model Is Different(36:53) Fun QuestionsResources spoken about during the interview:Geet's BSides SF TalkNate Lee - Power of Persuasion

Dive into single-region resilience with AWS experts John Formento and Tarik Makota as they debunk common misconceptions and share practical strategies for building robust applications. Learn why multi-AZ isn't enough on its own, discover key AWS services for resilience, and get actionable tips for identifying and mitigating failure modes. Learn More: https://docs.aws.amazon.com/prescriptive-guidance/latest/resilience-analysis-framework/introduction.html

AWS Morning Brief for the week of June 23rd, 2025, with Corey Quinn. Links:AWS IAM now enforces MFA for root users across all account typesAWS expands resource control policies (RCPs) support to two additional servicesOne Year EC2 Instance Savings Plans are now available for P5 and P5en instancesAWS Certificate Manager introduces exportable public SSL/TLS certificates to use anywhereVerify internal access to critical AWS resources with new IAM Access Analyzer capabilitiesIntroducing AWS CDK Community MeetingsRapid monitoring of Amazon S3 bucket policy changes in AWS environments1Password's New Secrets Syncing Integration With AWS | 1Password

Are the dynamics of the hyperscale cloud providers changing? Will the leaders of the last decade continue for the next 3-5 years, or the next decade? Let's explore how the market is now rapidly changing.SHOW: 934SHOW TRANSCRIPT: The Cloudcast #934 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW SPONSORS:[US CLOUD] Cut Enterprise IT Support Costs by 30-50% with US Cloud[VASION] Vasion Print eliminates the need for print servers by enabling secure, cloud-based printing from any device, anywhere. Get a custom demo to see the difference for yourself.SHOW NOTES:Andy Jassy (Amazon CEO) - Thoughts on Generative AI AWS quarterly revenue growth OpenAI struggling to meet deadline for $20B investment (including Microsoft)Inside Microsoft's complex relationship with OpenAIGoogle Cloud quarterly revenuesBG2 PodcastEast Meets West 2025 (keynote presentation)TECHNOLOGY WAVES CHANGE MARKET DYNAMICS; INCUMBENTS DON'T ALWAYS LEADRevenues: AWS ($62B, 2021), Azure ($60B, 2021), GCP ($19B, 2021) Revenues (run rate): AWS ($130B, 2025), Azure ($108B, 2025), GCP ($50B, 2025) AWS is on 3rd CEO since pandemic; market questioning their AI strategyAzure + OpenAI alignment strategy went from strategic to questionedGoogle start-stop AI strategy, but coming together; but company breakup loomingApple AI strategy seems completely unknown (Siri,Apple Intelligence, devices, models?)Oracle seems to be rebounding around Oracle Cloud InfrastructureNew hypercloud AI providers emerging? The Amazon/AWS 20%FEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod