Podcasts about Azure

Control Plane CEO Doron Grinstein joins me to discuss how they've created an AI-native cloud API that virtualizes multi-cloud and hybrid cloud to simplify management and ship faster.Watch the video of this episode.

Interview Highlights: A Layered Toolset: LSU runs dual EDR platforms (Microsoft Defender and CrowdStrike), Splunk as its SIEM for log management, and Splunk SOAR (via partner TekStream) to coordinate incident response across the statewide SOC program. Phishing Remains Enemy #1: Across higher ed generally, phishing is the top entry point for attackers; Jain recalled a pre-MFA, pre-COVID incident where compromised accounts cascaded across multiple universities, forcing account suspensions every five minutes. AI on the Email Front Line: LSU uses AI specifically to catch executive impersonation—fake emails posing as the chancellor or vendors like Dell requesting changed payment routing numbers—flagging them for review before delivery. On the SOC side, AI builds context around alerts (device mismatches, unusual IP patterns) that a human analyst then validates before escalating—keeping a human in the loop rather than fully automating decisions. Fighting AI With AI—Proactively: LSU deploys honeypots, like a dummy Moodle instance, to lure AI-driven attackers, capture their IPs and techniques, then feed that threat intelligence into production systems to auto-block similar attacks before they happen. The Real AI Risk Is Data, Not the Tool: Jain's biggest concern with staff using ChatGPT, Copilot, or Claude isn't the AI itself—it's uploading sensitive student, HR, or research data to platforms that may train on it. Louisiana state law bars public institutions from using Chinese-linked LLMs; Jain flagged that individual (non-Enterprise) Cursor licenses can violate this because some underlying models have Chinese ties. Building Homegrown AI Tools: LSU faculty built "MikeGPT," an internal GPT-based tool on Azure, letting departments create custom agents—like one that lets students query a syllabus directly or an in-progress agent that answers questions from an 80-90 page data governance policy. Both hosts agreed that narrow, tailored AI tools solving specific institutional pain points—rather than general chatbot use—represent the most valuable and lowest-risk way to bring AI into daily operations.

Is AI going to kill us all? Frontier systems are producing real security failures, but extinction forecasts are being used to support policies that could consolidate control over AI. Eyvonne and William discuss Jacob Coxon’s high-profile resignation from Anthropic, the gap between real technical risks and speculative extinction narratives, and the commercial incentives driving calls... Read more »

In this sponsored episode, Paul Delory of Gartner joins Kyler and Ned to discuss the reconciler pattern for operations and the shift toward continuous operations. Together they discuss how immutable infrastructure, policy as code, and platform engineering help bridge the gap between traditional IT and modern automation. They also highlight Gartner’s upcoming Infrastructure, Operations &... Read more »

Is AI going to kill us all? Frontier systems are producing real security failures, but extinction forecasts are being used to support policies that could consolidate control over AI. Eyvonne and William discuss Jacob Coxon’s high-profile resignation from Anthropic, the gap between real technical risks and speculative extinction narratives, and the commercial incentives driving calls... Read more »

In this sponsored episode, Paul Delory of Gartner joins Kyler and Ned to discuss the reconciler pattern for operations and the shift toward continuous operations. Together they discuss how immutable infrastructure, policy as code, and platform engineering help bridge the gap between traditional IT and modern automation. They also highlight Gartner’s upcoming Infrastructure, Operations &... Read more »

In this sponsored episode, Paul Delory of Gartner joins Kyler and Ned to discuss the reconciler pattern for operations and the shift toward continuous operations. Together they discuss how immutable infrastructure, policy as code, and platform engineering help bridge the gap between traditional IT and modern automation. They also highlight Gartner’s upcoming Infrastructure, Operations &... Read more »

Keith McCall is building a company that watches the Earth from above. Omniris pulls imagery from drones, satellites, and IoT sensors, overlays it on a map, and adds the one thing that makes data powerful  time. Capture the same field or cell tower ten times across a year and you get a living database, a digital twin more useful than anything sitting in a spreadsheet. His network of 4,000 independent drone pilots has flown Walmart's headquarters, Amazon distribution centers, 11,000 Verizon cell towers, and solar farms around the world.  Keith is the CEO of Omniris, along with the ag-tech company Pollen Systems and the wine venture Everyvine. He and Jason get into why he ripped out a $2 billion incumbent and bet on open source, how he handles data sovereignty across Azure, AWS, and on-premise servers from Saudi Arabia to Chile, and why he thinks the billions being poured into AI valuations could evaporate faster than anyone expects. We also discuss: Why he went open source to scale past a $2 billion competitor The AI valuation bubble and how Chinese model distillation could wipe it out Smart cities. Why Seattle's cameras, drones, and traffic lights aren't on one geospatial layer The coming food crisis and the aging-farmer knowledge problem behind his ag-tech work Hiring for communication, collaboration, and compassion over pedigree Ranking family offices first and venture capital last when raising money    Keith's links: LinkedIn: https://www.linkedin.com/in/keithmccall/ Omniris: https://omniris.world/ Pollen Systems: https://www.pollensystems.com/ Everyvine: http://www.everyvine.com Eastside Entrepreneurs: https://eastent.org/ Jason links: LinkedIn: https://www.linkedin.com/in/jasoncavness Follow the show so you don't miss an episode.

On this episode of the Gaming And Collecting Podcast Bill and Alex return for another Three Anime Films this time talking about That Time I Got Reincarnated As A Slime The Movie: Tears Of The Azure Sea, Kaguya-Sama: Love Is War -The Stairway To Adulthood-, and The Ribbon Hero!Follow the Gaming And Collecting Podcast on all of our socials, easily found here: https://linktr.ee/ThebarberwhogamesIntro Music By Gerry At: https://soundcloud.com/greymatteraudioProud member of https://superpodnetwork.com/

In episode 304 of our SAP on Azure video podcast we talk about the SAP Analytics Cloud add-in for Microsoft Excel. SAP Analytics Cloud is used by many customers for planning, analytics, and reporting. But of course, many business users still spend a lot of their day in Microsoft Excel.That is why the SAP Analytics Cloud add-in for Microsoft Excel is such an interesting topic. It brings SAP Analytics Cloud data and planning capabilities into a tool that many users already know very well.Today we want to understand what SAC is, why there is an Excel add-in, who is using it, and how it works in practice.To walk us through this, I am very happy to welcome Jeanne from SAP.Welcome Jeanne, great to have you with us.Find all the links mentioned here: https://www.saponazurepodcast.de/episode304Reach out to us for any feedback / questions:* Goran Condric: https://www.linkedin.com/in/gorancondric/* Holger Bruchelt: https://www.linkedin.com/in/holger-bruchelt/ #Microsoft #SAP #Azure #SAPonAzure #SAPAnalyticsCloud #Excel #Microsoft365 #Planning #Analytics

Nvidia just proposed its largest acquisition ever — $12.9 billion for Hugging Face. But regulators in the US, EU, and China may have other plans.Nvidia has announced plans to acquire Hugging Face, the leading open-source repository for AI and machine learning code, in a deal valued at $12.9 billion — technically the largest acquisition in Nvidia's history. In this episode, we break down what Hugging Face actually does, why it matters to Nvidia's broader ecosystem strategy, and how this move fits into Nvidia's history of vertical and horizontal acquisitions, from Mellanox to the failed Arm Holdings bid.We also examine the growing trend of "acquihires" (Enfabrica, Groq, Poolside) and what regulatory scrutiny could mean for this deal specifically, given Hugging Face's large presence in the EU. We draw a direct comparison to Microsoft's 2018 acquisition of GitHub — and how that deal quietly became a distribution funnel for Azure and OpenAI — then ask whether Hugging Face could play a similar role for Nvidia's AI infrastructure business. Finally, we cover Nvidia's revenue segmentation shift, its position versus Broadcom, and why this remains our top semiconductor holding heading into the rest of 2026.TIMESTAMPS0:00 - Nvidia's $12.9B Hugging Face Bombshell1:00 - What Hugging Face Actually Does2:30 - Why Nvidia Wants Developer Distribution4:00 - Nvidia's Acquisition Track Record: Mellanox to Arm5:30 - The Rise of the "Acquihire" (Enfabrica, Groq, Poolside)6:30 - Regulatory Risk: Why This Deal Could Get Blocked8:00 - The Microsoft-GitHub Playbook Comparison11:00 - Nvidia's Revenue Segmentation Shift13:00 - Nvidia vs. Broadcom: Growth Comparison14:00 - Valuation and Final Take for 2026—If you want the reasoning behind more names like this one, Semiconductor Insider covers the process in more depth. Get access to all our research, weekly live Q&A events, and a growing set of tools to build your process: https://www.chipstockinvestor.comAll our socials: https://linktr.ee/chipstockinvestorIf you're getting value from the show, follow so you don't miss the next one.—Disclosure: Some links above are affiliate links. If you buy something through them, we might earn a little coffee money — thanks for helping us (Kasey) fuel our caffeine addiction.Content in this episode is for general information or entertainment only and is not specific or individual investment advice. Forecasts and information presented may not develop as predicted, and there is no guarantee any strategies presented will be successful. All investing involves risk, and you could lose some or all of your principal. CSI owns shares of Nvidia.

With Microsoft shattering records for patched vulnerabilities and AI exposing even more bugs, Leo Laporte, Paul Thurrott, and Richard Campbell debate whether this tidal wave of fixes signals progress or just bigger trouble ahead for Windows users. Also, Sonos is back and here's something no one has been able to say for, well, forever: It's new app is great! Plus, Gemini's Daily Brief is surprisingly useful, and it's available for free to everyone in the U.S.MICROSOFT MAKES MAJOR FINANCIAL REPORTING CHANGE The canary in the coal mine has finally been rewarded: Microsoft will dramatically change how it reports earnings, effective immediately. The good: Didn't see this coming, Microsoft will allegedly be transparent about Azure revenues every quarter The bad: A simpler structure means more revenues are being hidden and you can only make accurate YOY comparisons dating back two years now The unknown: What this will really look like in practice How is it possible that Paul has been all over this for years and Wall Street has mostly ignored it? Windows Patch Tuesday arrives - And, yes, it's basically 26H2 New Start, Taskbar, and Windows Search are generally available Is the "real" 26H2 still on track for October or does it just happen whenever? Microsoft fixed almost 1000 security vulnerabilities this month (974), with 723 of them in Windows and 112 of them critical-severity. It has already released over double the number of security patches this year (2760) as it did in all of 2025 (1139). Five new builds drop just ahead of Patch Tuesday updates with three minor new features Project Zenith is a misguided attempt to make Windows better for developers that shows they've learned nothing Microsoft Edge team promises two contrary improvements: Faster extension approvals, better quality It came from IFA Lenovo: Two AMAZING prototype PCs, one of which is imminent as a shipping product. Two killer NVIDIA RTX Spark-based laptops. Colorful laptops and AIO deflate the MacBook Neo balloon nicely. New ThinkCentre desktops and ThinkBook laptops, including a killer AMD-based workstation that can be daisy-chained HP: Three new NVIDIA RTX Spark PCs, one of which is a desktop PC Acer: RTX Spark, gaming handheld, more Key takeaway: NVIDIA RTX Spark is a game-changer Apps Vivaldi adds PWA and address bar improvements Yes, Virginia, Brave is still the fastest web browser AI and dev Newsday and The Seattle Times sue OpenAI and Microsoft for stealing copyrighted content at scale There's a great new documentary about the making of Visual Studio Code out and it's free This is a modern example of how tech limitations can spur innovation, something that happened a lot in the early home computer era and happens a lot less now .NET 11 heads to release candidate phase ahead of November release XBOX and gaming XBOX Cloud Gaming is getting usage caps starting in November and a standalone service is on the way XBOX app is coming to TCL smart TVs XBOX Insiders are testing startup animation choices, Showcase customization, an improved Remote Play experience, background downloads for Cloud Gaming, and more Tips and picks Tip of the week: Gemini offers a useful and free daily briefing App pick of the week: Sonos RunAs Radio this week: State of WSUS with Adam Brown These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/1000 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsor: cachefly.com/twit

How can network architects successfully manage 95,000 hosts while navigating the complexities of large-scale cloud migrations? Devender Singh, a Principal Cloud Architect, joins Ned and Kyler to discuss the practical realities of managing network chaos, the migration from Transit Gateways to AWS Cloud WAN, and strategies for addressing the technical debt often encountered during enterprise... Read more »

With Microsoft shattering records for patched vulnerabilities and AI exposing even more bugs, Leo Laporte, Paul Thurrott, and Richard Campbell debate whether this tidal wave of fixes signals progress or just bigger trouble ahead for Windows users. Also, Sonos is back and here's something no one has been able to say for, well, forever: It's new app is great! Plus, Gemini's Daily Brief is surprisingly useful, and it's available for free to everyone in the U.S.MICROSOFT MAKES MAJOR FINANCIAL REPORTING CHANGE The canary in the coal mine has finally been rewarded: Microsoft will dramatically change how it reports earnings, effective immediately. The good: Didn't see this coming, Microsoft will allegedly be transparent about Azure revenues every quarter The bad: A simpler structure means more revenues are being hidden and you can only make accurate YOY comparisons dating back two years now The unknown: What this will really look like in practice How is it possible that Paul has been all over this for years and Wall Street has mostly ignored it? Windows Patch Tuesday arrives - And, yes, it's basically 26H2 New Start, Taskbar, and Windows Search are generally available Is the "real" 26H2 still on track for October or does it just happen whenever? Microsoft fixed almost 1000 security vulnerabilities this month (974), with 723 of them in Windows and 112 of them critical-severity. It has already released over double the number of security patches this year (2760) as it did in all of 2025 (1139). Five new builds drop just ahead of Patch Tuesday updates with three minor new features Project Zenith is a misguided attempt to make Windows better for developers that shows they've learned nothing Microsoft Edge team promises two contrary improvements: Faster extension approvals, better quality It came from IFA Lenovo: Two AMAZING prototype PCs, one of which is imminent as a shipping product. Two killer NVIDIA RTX Spark-based laptops. Colorful laptops and AIO deflate the MacBook Neo balloon nicely. New ThinkCentre desktops and ThinkBook laptops, including a killer AMD-based workstation that can be daisy-chained HP: Three new NVIDIA RTX Spark PCs, one of which is a desktop PC Acer: RTX Spark, gaming handheld, more Key takeaway: NVIDIA RTX Spark is a game-changer Apps Vivaldi adds PWA and address bar improvements Yes, Virginia, Brave is still the fastest web browser AI and dev Newsday and The Seattle Times sue OpenAI and Microsoft for stealing copyrighted content at scale There's a great new documentary about the making of Visual Studio Code out and it's free This is a modern example of how tech limitations can spur innovation, something that happened a lot in the early home computer era and happens a lot less now .NET 11 heads to release candidate phase ahead of November release XBOX and gaming XBOX Cloud Gaming is getting usage caps starting in November and a standalone service is on the way XBOX app is coming to TCL smart TVs XBOX Insiders are testing startup animation choices, Showcase customization, an improved Remote Play experience, background downloads for Cloud Gaming, and more Tips and picks Tip of the week: Gemini offers a useful and free daily briefing App pick of the week: Sonos RunAs Radio this week: State of WSUS with Adam Brown These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/1000 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsor: cachefly.com/twit

With Microsoft shattering records for patched vulnerabilities and AI exposing even more bugs, Leo Laporte, Paul Thurrott, and Richard Campbell debate whether this tidal wave of fixes signals progress or just bigger trouble ahead for Windows users. Also, Sonos is back and here's something no one has been able to say for, well, forever: It's new app is great! Plus, Gemini's Daily Brief is surprisingly useful, and it's available for free to everyone in the U.S.MICROSOFT MAKES MAJOR FINANCIAL REPORTING CHANGE The canary in the coal mine has finally been rewarded: Microsoft will dramatically change how it reports earnings, effective immediately. The good: Didn't see this coming, Microsoft will allegedly be transparent about Azure revenues every quarter The bad: A simpler structure means more revenues are being hidden and you can only make accurate YOY comparisons dating back two years now The unknown: What this will really look like in practice How is it possible that Paul has been all over this for years and Wall Street has mostly ignored it? Windows Patch Tuesday arrives - And, yes, it's basically 26H2 New Start, Taskbar, and Windows Search are generally available Is the "real" 26H2 still on track for October or does it just happen whenever? Microsoft fixed almost 1000 security vulnerabilities this month (974), with 723 of them in Windows and 112 of them critical-severity. It has already released over double the number of security patches this year (2760) as it did in all of 2025 (1139). Five new builds drop just ahead of Patch Tuesday updates with three minor new features Project Zenith is a misguided attempt to make Windows better for developers that shows they've learned nothing Microsoft Edge team promises two contrary improvements: Faster extension approvals, better quality It came from IFA Lenovo: Two AMAZING prototype PCs, one of which is imminent as a shipping product. Two killer NVIDIA RTX Spark-based laptops. Colorful laptops and AIO deflate the MacBook Neo balloon nicely. New ThinkCentre desktops and ThinkBook laptops, including a killer AMD-based workstation that can be daisy-chained HP: Three new NVIDIA RTX Spark PCs, one of which is a desktop PC Acer: RTX Spark, gaming handheld, more Key takeaway: NVIDIA RTX Spark is a game-changer Apps Vivaldi adds PWA and address bar improvements Yes, Virginia, Brave is still the fastest web browser AI and dev Newsday and The Seattle Times sue OpenAI and Microsoft for stealing copyrighted content at scale There's a great new documentary about the making of Visual Studio Code out and it's free This is a modern example of how tech limitations can spur innovation, something that happened a lot in the early home computer era and happens a lot less now .NET 11 heads to release candidate phase ahead of November release XBOX and gaming XBOX Cloud Gaming is getting usage caps starting in November and a standalone service is on the way XBOX app is coming to TCL smart TVs XBOX Insiders are testing startup animation choices, Showcase customization, an improved Remote Play experience, background downloads for Cloud Gaming, and more Tips and picks Tip of the week: Gemini offers a useful and free daily briefing App pick of the week: Sonos RunAs Radio this week: State of WSUS with Adam Brown These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/1000 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsor: cachefly.com/twit

How can network architects successfully manage 95,000 hosts while navigating the complexities of large-scale cloud migrations? Devender Singh, a Principal Cloud Architect, joins Ned and Kyler to discuss the practical realities of managing network chaos, the migration from Transit Gateways to AWS Cloud WAN, and strategies for addressing the technical debt often encountered during enterprise... Read more »

Aaron interviews David Aronchick, CEO @ Expanso (former PM lead for Kubernetes, Kubeflow co-founder, and open-source ML leader at Azure) about how open source is reshaping the AI infrastructure stack. Aronchick recounts his path from early Linux and enterprise work to launching Kubernetes and GKE, then creating Kubeflow in 2017 to orchestrate end-to-end ML workflows on Kubernetes. The discussion centers on gaps in AI infrastructure, especially reproducibility and determinism across hardware, drivers, OS, packages, and data lineage, arguing Kubernetes alone can't fully solve it. They contrast open weights with true open-source models, noting that real openness would require reproducible training data and infrastructure. They explore “AI-native” enterprise architecture, the role of open-source harnesses/wrappers to add deterministic controls, and growing edge/distributed compute needs driven by governance, compliance, bandwidth, and hybrid deployment realities.SHOW: 1061SHOW TRANSCRIPT: The Enterprise AI Show #1061 TranscriptSHOW VIDEO: https://youtu.be/kpQg3YIIUL8SHOW LINKS:Expanso homepageTechArena, "Expanso's David Aronchick on Data Gravity and Pipeline Debt": Open at Intel podcast, "Data Privacy and Efficiency with Bacalhau Compute Over Data"SHOW SPONSORS:NordLayer - Use ENTERPRISE10 for 10% offNasuni - Activate your data for AI and request a demoSHOW TOPICS:You have a super interesting background (First managing PM for Kubernetes, Co-founded Kubeflow, led open-source ML at Microsoft Azure). Give everyone a brief introduction and how you became so involved in open-source and the EnterpriseOSS topics:Back when we were The Cloudcast, we covered K8s in depth, but I'm not sure we ever did a show on Kubeflow. Kubeflow tried to bring Kubernetes-style orchestration to ML workflows. Looking back, what did that generation of open-source AI infrastructure get right, and what did it miss that the current wave (agents, inference at the edge) is now having to solve for again? Oh, and maybe give a quick intro to Kubeflow as well for those that aren't familiarZooming out - open source shaped your whole career, from Kubernetes to Kubeflow to Bacalhau. Where do you think open source has the most leverage in the AI infrastructure stack right now, and where do you think it's losing ground to closed, vendor-controlled platforms?What are your thoughts on “OSS models”? Today, OSS really means open weights. Do you think there will ever be a truly OSS model? What would it take? Thoughts on the state of the industry?A couple of Enterprise “grab bag” questions for you on a few different topics while we have you:"AI-native" gets used a lot and means different things to different people. What does AI-native actually mean for enterprise architecture in your view, and how is it different from just bolting AI onto an existing cloud or data stack?Regulatory and data residency pressure keeps coming up across industries (telecom, healthcare, financial services). How much of the edge/distributed compute push is being driven by AI performance needs versus governance and compliance requirements? Which one is the bigger driver right now?CLOSING: If anyone is interested, what's the best way to get started?FEEDBACK?Email: show @ the enterprise ai show dot comBluesky: @TheEntAIShow.bsky.socialTwitter/X: @TheEntAIShowInstagram: @TheEntAIShow

With Microsoft shattering records for patched vulnerabilities and AI exposing even more bugs, Leo Laporte, Paul Thurrott, and Richard Campbell debate whether this tidal wave of fixes signals progress or just bigger trouble ahead for Windows users. Also, Sonos is back and here's something no one has been able to say for, well, forever: It's new app is great! Plus, Gemini's Daily Brief is surprisingly useful, and it's available for free to everyone in the U.S.MICROSOFT MAKES MAJOR FINANCIAL REPORTING CHANGE The canary in the coal mine has finally been rewarded: Microsoft will dramatically change how it reports earnings, effective immediately. The good: Didn't see this coming, Microsoft will allegedly be transparent about Azure revenues every quarter The bad: A simpler structure means more revenues are being hidden and you can only make accurate YOY comparisons dating back two years now The unknown: What this will really look like in practice How is it possible that Paul has been all over this for years and Wall Street has mostly ignored it? Windows Patch Tuesday arrives - And, yes, it's basically 26H2 New Start, Taskbar, and Windows Search are generally available Is the "real" 26H2 still on track for October or does it just happen whenever? Microsoft fixed almost 1000 security vulnerabilities this month (974), with 723 of them in Windows and 112 of them critical-severity. It has already released over double the number of security patches this year (2760) as it did in all of 2025 (1139). Five new builds drop just ahead of Patch Tuesday updates with three minor new features Project Zenith is a misguided attempt to make Windows better for developers that shows they've learned nothing Microsoft Edge team promises two contrary improvements: Faster extension approvals, better quality It came from IFA Lenovo: Two AMAZING prototype PCs, one of which is imminent as a shipping product. Two killer NVIDIA RTX Spark-based laptops. Colorful laptops and AIO deflate the MacBook Neo balloon nicely. New ThinkCentre desktops and ThinkBook laptops, including a killer AMD-based workstation that can be daisy-chained HP: Three new NVIDIA RTX Spark PCs, one of which is a desktop PC Acer: RTX Spark, gaming handheld, more Key takeaway: NVIDIA RTX Spark is a game-changer Apps Vivaldi adds PWA and address bar improvements Yes, Virginia, Brave is still the fastest web browser AI and dev Newsday and The Seattle Times sue OpenAI and Microsoft for stealing copyrighted content at scale There's a great new documentary about the making of Visual Studio Code out and it's free This is a modern example of how tech limitations can spur innovation, something that happened a lot in the early home computer era and happens a lot less now .NET 11 heads to release candidate phase ahead of November release XBOX and gaming XBOX Cloud Gaming is getting usage caps starting in November and a standalone service is on the way XBOX app is coming to TCL smart TVs XBOX Insiders are testing startup animation choices, Showcase customization, an improved Remote Play experience, background downloads for Cloud Gaming, and more Tips and picks Tip of the week: Gemini offers a useful and free daily briefing App pick of the week: Sonos RunAs Radio this week: State of WSUS with Adam Brown These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/1000 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsor: cachefly.com/twit

How can network architects successfully manage 95,000 hosts while navigating the complexities of large-scale cloud migrations? Devender Singh, a Principal Cloud Architect, joins Ned and Kyler to discuss the practical realities of managing network chaos, the migration from Transit Gateways to AWS Cloud WAN, and strategies for addressing the technical debt often encountered during enterprise... Read more »

In this week's episode, we look at recent Microsoft Tech updates. By popular request, we're expanding our scope beyond Azure to include Microsoft 365, Power Platform, and related Microsoft platforms and capabilities. What's new? What's interesting? What's retiring? (00:00) - Intro and catching up.(05:35) - Show content starts.Show links- What's new in Microsoft Security: August 2026- Microsoft Foundry docs: What's new for August 2026- Resilience for long-running Microsoft Foundry hosted agents (preview)- Microsoft Entra Tenant Governance is now generally available- Copilot Code Review Reaches Azure Repos (InfoQ)- Announcing General Availability of Managed Instance on Azure App Service- Managed Instance on Azure App Service Reaches GA for Legacy Windows Apps- MCP Firewall in Global Secure Access- Microsoft Sentinel in Azure Portal will be retired March 31, 2027- Project HydraFusion- Azure Multicloud Interconnect with AWS- Agent 365 license clarification - Conditional Access Policies, Licensing in general- Give us feedback!

David McFall joins Andrew Pla to talk about practical PowerShell, mentorship, automation, and why you do not need to be a PowerShell expert to get serious value from it. David shares how he uses PowerShell across Active Directory, Entra, Microsoft 365, Microsoft Graph, and PDQ, including real-world examples like device posture reporting, identifying hardware gaps, and automating project management. They also dig into learning with AI, knowing when a simple script is enough, the importance of testing before production, and why helping the people around you grow can make everyone's job easier. Key Takeaways: · PowerShell does not have to be complicated to be useful. David approaches PowerShell as a working sysadmin who wants to automate repetitive tasks, reuse existing tools, and solve real problems rather than build everything from scratch. · AI can accelerate learning, but it should not replace understanding. David uses AI to better understand PowerShell concepts and Microsoft Graph, while emphasizing the importance of reviewing, testing, and understanding scripts before putting them into production. · Sharing knowledge makes the whole team stronger. David views himself as a mentor rather than simply a manager. Helping junior team members develop their skills gives them more opportunities while also creating a team that can share responsibility instead of relying on one person who knows everything. Guest Bio: David McFall is an IT infrastructure and operations leader with experience across enterprise cloud platforms, cybersecurity, system administration, Microsoft Defender, Azure, incident response, and automation. Based in Metro Detroit, David combines hands-on technical work with a strong focus on mentoring IT professionals and sharing what he has learned throughout his career. Resource links: ImportExcel (create Excel reports without Excel installed) https://github.com/dfinke/ImportExcel PSWriteHTML (build interactive HTML reports from PowerShell) https://github.com/EvotecIT/PSWriteHTML BurntToast (Windows toast notifications from PowerShell) https://github.com/Windos/BurntToast Maester (automated Microsoft 365 security posture testing) https://maester.dev The PowerShell Podcast on YouTube: https://youtu.be/36VN6K-oE8w

Follow Ricker and Bon:http://instagram.com/rickerandbonhttp://tiktok.com/@rickerandbonhttps://youtube.com/@rickerandbonhttps://open.spotify.com/show/0n1m0eR2sYZU2EFhSwlqX1https://podcasts.apple.com/us/podcast/ricker-and-bon/id1367523204Ricker & Bon are back with a wide-open conversation on the AI work boom, Codex and the terminal barrier, why faster software can create more work instead of fewer jobs, AirPods Pro, NVIDIA, Anthropic's compute buildout, and Tesla Cybercab.00:00 The drops are back02:39 Codex, AI, and the terminal barrier07:30 Building games and software with AI12:00 Why AI can create more work, not fewer jobs21:20 GTA VI and Xbox cloud gaming25:00 Physical media, ownership, and copyright30:00 Internet research and the music tangent35:35 Azure, cloud spending, and Microsoft42:45 Apple, private CEOs, and AirPods Pro48:00 Anthropic, Lambda, and the AI compute buildout51:00 NVIDIA, Roblox, and market optimism56:00 Jensen Huang watch talk59:00 Tesla Cybercab and the federal safety question64:00 Volkswagen cuts, jobs, and rapid-fire news67:25 Sign-offSubscribe for more Ricker & Bon. Follow @rickerandbon on Instagram, TikTok, and YouTube.

Join us as Cobus Bernard takes us on a live tour of his sprawling homelab - and explains why Claude wrote most of the Terraform and Ansible running it. Cobus walks through a Proxmox setup running Traefik, Vault, Nomad, Keycloak, and a three-node Kubernetes cluster that doesn't quite work yet, all built by handing infrastructure-as-code tasks to Claude and slowly deciding how much of it to trust with real commands. You will learn how Cobus structures Terraform state and variables so an AI agent can safely extend it, why he still won't let Claude run terraform apply unsupervised, how MCP servers control what an agent is allowed to touch, and why confabulation might be a better word than hallucination for what these models actually do. Timestamps 0:00 Welcome & Introduction 8:50 What's Running in the Home Lab - Proxmox, Traefik, and Vault 13:48 A Kubernetes Cluster That Doesn't Work Yet 17:09 MCP Servers and What Claude Is Allowed to Run 21:46 Is It That Claude Wrote the Terraform? 23:06 Trusting Claude with Terraform Apply 27:43 The Home Assistant Confession - Copy-Paste vs. Actually Learning 36:57 Naming Things - Solving the Classic Kubernetes Problem 43:52 Confabulation - A Better Word for AI Hallucination 48:49 Building a Tax Calculator App With Claude How to find Cobus: https://www.linkedin.com/in/cobusbernard/ Links from the show:

■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■ 2026年5月16日で《ピアノ万葉集》は完結しました ■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■《ピアノ万葉集》プロジェクトは2026年5月16日に完結しました。でもここは大事な場所なので、前に創った《ピアノ万葉集》の曲をお届けします。ただ、すみませんが、前に流した曲ですので重複しています。================================================..

In today's Cloud Wars Minute, I examine why Meta is buying massive amounts of AI capacity from Microsoft despite building its own AI infrastructure.Highlights00:10 — Meta has become one of Microsoft's largest AI customers, spending hundreds of millions of dollars annually through Azure and consuming trillions of tokens per week. It's a massive figure.00:24 — But to me, the real story here is about how AI is utterly transforming relationships in the tech world. Even though Meta is building its own AI infrastructure, it's still buying massive amounts of outside AI capacity through Azure, and the stakes are so high in this race that no company can afford to slow down.00:47 — Even if that means making a competitor richer in the process. It's also a massive validation for Microsoft's Azure AI Foundry strategy, which means Microsoft can make money regardless of which AI model comes out on top. So, AI companies — and I'll use that term, AI companies, because really that's what all these tech businesses are becoming — AI companies are increasingly becoming customers of one another.01:13 — And I think we've sailed past the "who builds the best model wins" competition, and now it's about something else. It's about infrastructure. In the battle for supremacy in this AI race or evolution, it may not be who builds the best AI, but who owns the best infrastructure to run and access it that will come out on top. Visit Cloud Wars for more.

Goldman Sachs' Gabriela Borges talks with TITV Host Akash Pasricha about software earnings season, Adobe's new CEO, and potential M&A in the SaaS sector. We also talk with Netskope CEO Sanjay Beri about AI cybersecurity growth and OpenAI's Hugging Face incident, DocuSign CEO Allan Thygesen about AI agents executing contracts, and we get into Microsoft's Azure disclosures and Apple's upcoming foldable iPhone with The Information's Co-Executive Editor Martin Peers.Articles discussed on this episode: https://www.theinformation.com/articles/nvidias-new-sales-chief-anthropics-mega-ipo-12-things-matter-tech-fallSubscribe: YouTube: https://www.youtube.com/@theinformation The Information: https://www.theinformation.com/subscribe_hSign up for the AI Agenda newsletter: https://www.theinformation.com/features/ai-agendaTITV airs weekdays on YouTube, X and LinkedIn at 10AM PT / 1PM ET. Or check us out wherever you get your podcasts.Follow us:X: https://x.com/theinformationIG: https://www.instagram.com/theinformation/TikTok: https://www.tiktok.com/@titv.theinformationLinkedIn: https://www.linkedin.com/company/theinformation/Chapters:00:00 - Introduction00:01 - Adobe's New CEO & Software Earnings Lessons00:13 - Netskope Sales Grow 29% as AI Security Expands00:23 - DocuSign CEO Allan Thygesen on AI Agent Workflows00:33 - Microsoft Azure Disclosures & Apple Foldable iPhone Preview

En el Radar Empresarial de hoy ponemos el foco en la adquisición de Hugging Face, compañía especializada en inteligencia artificial de código abierto, por parte de Nvidia. La operación ha vuelto a situar a la compañía estadounidense en el centro de la atención de los mercados, como suele ocurrir con sus grandes movimientos estratégicos. Nvidia ha destinado alrededor de 12.900 millones de dólares a esta compra, convirtiéndola en una de sus mayores operaciones corporativas. El objetivo principal parece ser reforzar su posición en el ámbito de la IA y reducir progresivamente su dependencia de otras compañías del sector, al mismo tiempo que busca competir con grandes actores como OpenAI. La operación incluye además un plan de retención de empleados valorado en hasta 1.000 millones de dólares en acciones para aquellos trabajadores de Hugging Face que pasen a formar parte de Nvidia. Hugging Face destaca por ser uno de los mayores ecosistemas mundiales de inteligencia artificial abierta. La plataforma reúne aproximadamente 18 millones de desarrolladores, más de 500.000 conjuntos de datos y es utilizada por alrededor de 200.000 empresas. Uno de sus principales atractivos es precisamente su carácter abierto, una filosofía que, según han señalado Clément Delangue, CEO de Hugging Face, y Jensen Huang, CEO de Nvidia, se mantendrá tras la adquisición. Esta apuesta resulta especialmente significativa porque Nvidia parece estar ampliando su estrategia más allá de la fabricación de chips y buscando ganar influencia sobre las herramientas, modelos y comunidades que conforman el ecosistema de inteligencia artificial. La operación adquiere mayor complejidad si se tienen en cuenta las alianzas existentes entre Nvidia y otras empresas del sector. Con OpenAI, ambas compañías anunciaron en septiembre de 2025 un acuerdo para desplegar 10 GW de infraestructura de centros de datos y contemplaron una inversión de hasta 100.000 millones de dólares por parte de Nvidia. Sin embargo, el compromiso terminó modificándose sustancialmente y, en marzo, Jensen Huang señaló que la inversión final sería de unos 30.000 millones. Esta reducción generó dudas entre los inversores y alimentó las especulaciones sobre la sostenibilidad de determinadas inversiones relacionadas con la inteligencia artificial. Por otro lado, Nvidia mantiene también una alianza con Anthropic junto con Microsoft. En este caso, Nvidia se comprometió a invertir hasta 10.000 millones de dólares, mientras que Microsoft aportaría 5.000 millones. Anthropic, por su parte, acordó comprometer 30.000 millones de dólares de capacidad informática de Azure y utilizar tecnología de Nvidia. Todo ello ayuda a entender la importancia estratégica que la compañía concede al código abierto. En 2026, Wired informó de que Nvidia planeaba destinar 26.000 millones de dólares durante cinco años al desarrollo de modelos de IA abiertos. Por tanto, la adquisición de Hugging Face podría representar únicamente el comienzo de una estrategia mucho más amplia para controlar y fortalecer su posición dentro del ecosistema de inteligencia artificial.

In episode 303 of our SAP on Azure video podcast we are very happy to welcome back Geoff Scott, CEO and Chief Community Champion at ASUG. With ASUG Tech Connect coming up this fall, there is a lot happening in the SAP community — especially around AI, agents, governance, and the Autonomous Enterprise.What I find really interesting is that the discussion has moved beyond high-level AI demos. SAP customers are now asking very practical questions: How do we make this real? How do we govern agents? Is our data ready? What skills do our teams need? And most importantly, where is the business value?So today we want to hear directly from Geoff what ASUG is seeing across its member community, what questions customers are bringing to ASUG, and how organizations are thinking about the path from AI experimentation to real autonomous business processes.Find all the links mentioned here: https://www.saponazurepodcast.de/episode303Reach out to us for any feedback / questions:* Goran Condric: https://www.linkedin.com/in/gorancondric/* Holger Bruchelt: https://www.linkedin.com/in/holger-bruchelt/ #Microsoft #SAP #Azure #SAPonAzure #ASUG #AI #AgenticAI #S4HANA #Copilot

Management agent service accounts are the most privileged secrets in an identity estate. This post explains how Azure IAM migrates MIM to SailPoint IdentityIQ from the Configuration Documenter, which contains no credentials, and writes placeholder tokens the customer fills in. Azure IAM, LLC City: Las Cruces Address: 2521 North Main Website: https://azureiam.com

Nvidia agreed to buy Hugging Face for $12.9B, betting on its $399 Microduck robot as a physical-AI data engine, Meta rolled out Muse Spark 1.3 to rival Fable 5.1 and GPT-5.6 Sol, and Microsoft restructured its reporting into two segments. Nvidia agrees to buy Hugging Face for $12.9B, its second-biggest purchase after it paid $20B for Groq assets at the end of last year (CNBC) Sources: Decoding Discontinuity's Raphaelle D'Ornano argues Nvidia's bid is really an option on physical AI's data commons, with Hugging Face's $399 Microduck robot converting real-world robot use into open training data (Decoding Discontinuity) Meta rolls out Muse Spark 1.3 in Muse Code and Meta Model API, saying it improves performance across agentic and coding tasks, at the same pricing as Spark 1.2 (Axios) Muse Spark 1.3 holds a 52% lead on TAU³-Banking's tool-use benchmark and climbs to 85-86% on Terminal-Bench 2.1 coding tests, though Fable 5.1 still tops coding at 91.4%, all at unchanged $1.25/$4.25 pricing (The Decoder) Meta's Alexandr Wang tells Bloomberg Muse Spark 1.3 is competitive with Fable 5.1 and beats GPT-5.6 Sol at coding, uses 25% fewer tokens than 1.2, and previews a larger future model called Watermelon (SiliconANGLE) Microsoft shifts from three reporting segments to two: Agents and Infra, which has Microsoft 365 and Azure, and Devices and Consumer, which has Windows and Xbox (The Wall Street Journal) Subscribe to the ad-free feed.

In this episode, Scott Becker highlights the strength of Microsoft’s Azure cloud business, Bank of America's bullish outlook, and the stock's recovery after a more than 20% decline.

Carl Quintanilla and Jim Cramer led off the show with the M&A story of the day: Nvidia has agreed to acquire AI platform Hugging Face for nearly $13 billion. Hear what Nvidia CEO Jensen Huang told CNBC about the deal. Also on the AI front: Shares of Broadcom fell despite a Q3 beat, while Snowflake soared on better-than-expected quarterly results and upbeat guidance. The anchors also discussed diesel prices nearing a record high and gasoline prices continuing to rise as the U.S-Iran conflict intensifies. Also in focus: Meta rallies; Microsoft to begin disclosing Azure quarterly revenue; Salesforce shares erase their losses for the year; The debate over data centers with two months to go before the midterm elections.Squawk on the Street Disclaimer Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode, Scott Becker highlights the strength of Microsoft’s Azure cloud business, Bank of America's bullish outlook, and the stock's recovery after a more than 20% decline.

Weer kwam chipmaker Broadcom met mooie cijfers. En weer wordt het aandeel gedumpt door beleggers. Het duwt het aandeel zelfs weer onder de koers van begin dit jaar. Waarom zijn beleggers zo negatief? Dat zoeken we uit in deze aflevering. Want zoals gezegd: aan de cijfers lag het niet. De totale omzet kwam uit op een kleine 30 miljard dollar, een stijging van 86 procent jaar op jaar. En de nettowinst ging zelfs met 216 procent omhoog. Hebben we het ook nog over oliereus Chevron. Dat kwam gisteren plotseling nog met een aankondiging: ze gaan flink investeren in Venezuela, de komende vijf jaar. 7 miljard dollar maar liefst. Daarmee willen ze de olieproductie daar verdubbelen naar 600.000 vaten per dag. Best een belofte. Of ze het ook waar kunnen maken, gaan we voor je uitzoeken. Hoor je ook over: Waarom het Koreaanse energiebedrijf miljarden wil zien van Samsung en SK Hynix De op-een-na grootste overname van Nvidia óóit Een automerk waar jij misschien wel in rijdt, dat dreigt te verdwijnen Een nieuw AI-bedrijf dat naar de beurs wil Te gast: Hans Oudshoorn van Saxo BNR Beurs is een journalistiek onafhankelijke productie, mede mogelijk gemaakt door Saxo. Over de makers: Jelle Maasbach is presentator van BNR Beurs en freelance financieel journalist. Zijn favoriete aandeel om over te praten is Disney, maar daar lijkt hij de enige in te zijn. Sinds de eerste uitzending van BNR Beurs is 'ie er bij. Maxim van Mil is presentator van BNR Beurs en journalist bij BNR, waar hij zich focust op de financiële markten en ontwikkelingen in de tech-wereld. Je krijgt hem het meest enthousiast als hij kan praten over ASML, of oer-Hollandse bedrijven zoals Ahold of ABN Amro. Jorik Simonides is presentator van BNR Beurs, economieredacteur en verslaggever bij BNR. Hij wordt er vooral blij van als het een keer níet over AI gaat. Je hoort hem ook in de BNR-podcast Moerdijk: dorp van de rekening. Milou Brand is presentator van BNR Beurs, freelance podcastmaker en columnist bij het Financieele Dagblad. Jochem Visser is presentator van BNR Beurs, maakt Beursnerd XL en is redacteur bij de podcast Onder Curatoren. Vraag hem naar obscure zaken op financiële markten en hij vertelt je waarom het eigenlijk nóg leuker is dan je al dacht. Over de podcast: Met BNR Beurs ga je altijd voorbereid de nieuwe beursdag in. We praten je in een kleine 25 minuten bij over alle laatste ontwikkelingen op de handelsvloer. We blijven niet alleen bij de AEX of Wall Street, maar vertellen je ook waar nog meer kansen liggen. En we houden het niet bij de cijfers, maar zoeken ook iedere dag voor je naar duiding van scherpe gasten en experts. Of je nu een ervaren belegger bent of net begint met je eerste stappen op de beurs, de podcast biedt waardevolle inzichten voor je beleggingsstrategie. Door de focus op zowel de korte termijn als de lange termijn, helpt BNR Beurs luisteraars om de ruis van de markt te scheiden van de essentie.See omnystudio.com/listener for privacy information.

Google restringe su potente Gemini 3.8 Flash Cyber, UNICEF pone cifras al abuso infantil facilitado por plataformas y una investigación descubre ARN quimérico funcional en mamíferos. Además, Wayve y Uber estrenan viajes comerciales autónomos —todavía con conductor de seguridad— y Microsoft reorganiza sus cuentas para mostrar Azure con más claridad.Puedes seguirnos en YouTube en https://youtube.com/olivernabani y puedes unirte al Discord Mashain en https://olivernabani.com/discord

Mark Zuckerberg argues that broadly distributed personal AI, or a “superintelligence” in his parlance, can increase prosperity and counter the risks of AI being controlled by a handful of government and corporate entities. Drew Conry-Murray joins Eyvonne and William to engage in a lively roundtable where they examine whether distributing access meaningfully distributes power when... Read more »

Mark Zuckerberg argues that broadly distributed personal AI, or a “superintelligence” in his parlance, can increase prosperity and counter the risks of AI being controlled by a handful of government and corporate entities. Drew Conry-Murray joins Eyvonne and William to engage in a lively roundtable where they examine whether distributing access meaningfully distributes power when... Read more »

https://clearmeasure.com/developers/forums/ Joseph Guadagno is an experienced executive level software leader and architect over 30 years of software development experience and a Microsoft MVP since 2007, having also served as President of the .NET Foundation from 2023 to 2024. he blogs regularly about .NET, Azure, and AI-assisted development workflows. This will be Joseph's second appearance on the podcast - he previously joined me in 2021 to talk about the latest in Azure DevOps. You can find more about Joseph and his work at josephguadagno.net. Website - https://www.josephguadagno.net/ LinkedIn - https://www.linkedin.com/in/josephguadagno/ Github - https://github.com/jguadagno X Link - https://x.com/jguadagno Previous Appearances on the Azure & DevOps Podcast: Episode 159 - https://azuredevopspodcast.clear-measure.com/joe-guadagno-on-the-latest-in-azure-devops-episode-159 Want to Learn More? Visit AzureDevOps.Show for show notes and additional episodes.

In part one of our conversation with John Godlove and Piyush Agarwal, co-founders of Fusion Hive, we talked about starting with the workflow instead of the AI. Before choosing a model or building an agent, you need to understand the problem. You also need to understand the process, the data, and what you're trying to improve. In part two, we took that conversation further. We looked at what happens when you move from an AI demo into something a business actually depends on. That's when governance, data privacy, testing, guardrails, monitoring, and cost become much more important. Piyush made a comment that sums this up well. If your workflow is already broken and you throw AI at it, you're probably going to accelerate the chaos. About John Godlove and Piyush Agarwal John Godlove is co-founder of Fusion Hive and has more than a decade of experience helping organizations from startups to Fortune 500 companies build and deploy automation. His background includes work in the Salesforce ecosystem, AI, data, and technology implementation. Piyush Agarwal is co-founder of Fusion Hive and has more than a decade of experience in artificial intelligence and machine learning. His experience includes financial fraud detection, document intelligence pipelines, generative AI multi-agent architectures, and production machine-learning engineering. Together, John and Piyush founded Fusion Hive to bring enterprise AI and automation experience to small and mid-market businesses. Their approach focuses on practical workflows, measurable outcomes, governance, and production-ready AI systems. AI Has a Way of Exposing Problems You Already Had We've been talking all season about AI exposing the cracks in businesses and software development. This conversation was a great example of what we mean. Many businesses don't have perfectly documented processes. The official procedure may say one thing, while the person doing the job follows a slightly different process because they know what works. Sometimes that critical business knowledge isn't documented anywhere. It may be sitting in someone's head, buried in an email, or handled through an informal process. Humans are pretty good at filling in those blanks and making judgment calls. Software needs us to be much clearer about the rules. John explained that small and mid-market businesses don't always have mature governance structures. Regulated organizations tend to have more structure because regulations require it. Other companies may not discover these governance problems until they start looking seriously at AI. The AI project doesn't necessarily create the crack. It often shines a light on something that was already there. That can actually be a good thing. An AI project may force you to understand how your business really works. It can push you to document processes, identify ownership, and clean up your data. You may get significant value from that work before the first AI workflow ever reaches production. AI Governance Is Bigger Than AI When I asked John and Piyush about governance and protecting customer data, one thing became pretty clear. You can't treat AI governance as something that exists by itself. Your business already has systems, users, data, security policies, vendors, and access controls. The AI system has to live inside that environment. Piyush explained that Fusion Hive tries to work within the systems a customer already uses. They don't automatically introduce another platform. A business may already be heavily invested in Microsoft, Google, Azure, AWS, or another ecosystem. Those existing systems may already provide infrastructure that can support the new workflow. John added that internal IT departments and managed service providers also need to be part of the conversation. AI governance overlaps with data governance, cybersecurity, access controls, and existing policies. You can't build one without considering the others. I think that's an important way to look at this. AI may feel like an entirely new technology problem, but it's still another component in your business systems. You still need to know who can access information, where that information goes, and who owns the process when something fails. Know Where Your Data Is Going Data privacy becomes even more important once AI enters the conversation. Before connecting business information to a model, find out where that data goes and what happens to it. Does the provider retain it? Can the provider use it for model training? Does the platform provide the protections your business needs? Those questions become critical in healthcare, financial services, and other regulated environments. Piyush talked about cases where businesses may need specific configurations or agreements with providers. These protections can prevent providers from using company data for model training. He also pointed out that not every use case requires a frontier model. A smaller or open model may work for some problems. That option may also give the business more control over where and how it processes information. The exact solution depends on the business. The important thing is to ask these questions before implementation. You don't want to connect company data to an AI system and then ask where that information went. The Wrong Use Case Can Make AI Expensive Fast When I asked John and Piyush about mistakes they've seen businesses make with AI, John's answer wasn't some crazy technical failure. One of the biggest mistakes is simply choosing the wrong use case. A business leader hears that the company needs AI. Somebody gets a directive to "get AI live," and the team builds something impressive for a demo. But nobody defines what business metric the project should improve. John suggested working backward from the business outcome. Maybe you want to improve margins or reduce turnaround time. Maybe you want to shorten lead qualification or improve the lead-to-cash process. Once you know the target, you can trace that goal back to the workflows that influence it. This is where I think many AI projects can get into trouble. "We implemented AI" isn't a business result. If you don't know what you're trying to change, you may spend money without knowing whether the investment helped. You Need a Baseline Before You Can Measure ROI Of course, that creates another problem. Some businesses don't know how their existing processes perform today. They know people are busy and a workflow feels slow. But they haven't measured the time, exceptions, rework, or actual cost. John talked about measurements such as cycle time, quote turnaround, lead qualification, and lead-to-cash timing. Those numbers give you something to compare after you introduce automation. If a process took 40 hours before AI and takes 20 afterward, you have a measurable improvement. The same applies if errors drop or turnaround improves. Without a baseline, you're guessing. Six months later, you might have a cool AI system. But when somebody asks what it saved the company, the answer can't just be that everyone seems to like it. Don't Automate a Broken Process This is where Piyush made one of the strongest points of the interview. If the workflow is already broken, AI will accelerate whatever already exists. That includes the chaos. Bad data doesn't suddenly become good because an LLM reads it. Unclear ownership doesn't disappear because an agent performs the task. If nobody can tell you whether the result is correct, you're probably not ready to hand that process over to AI. Before you automate, you may need to clean the data or document the rules. You may need to fix the process or determine who owns the outcome. That work can slow down an AI project at the beginning, but I'd rather find those problems before production than after. This reminds me of what we see in testing and automation. Automating a bad test or a bad process doesn't make it better. It just lets you run the wrong thing faster and more often. AI gives us more capability, but that basic engineering principle hasn't changed. Evaluation, Guardrails, and Monitoring This was probably my favorite technical part of the conversation because it lines up with my testing and integration background. Piyush identified three areas that matter when moving an AI workflow toward production: Evaluation Guardrails Monitoring Before production, you need to evaluate the workflow against known data. Piyush described maintaining a holdout or "golden" dataset with known expected results. You can run the workflow against that data and check whether the system produces acceptable results. For developers and testers, this should sound familiar. We've been doing versions of this forever. Give the system a known input, define the expected output, run the test, and compare the results. AI changes how predictable some outputs may be. It doesn't remove the need to test them. In fact, I think AI's variability makes evaluation even more important. Put Guardrails Around What AI Can Do Testing the output is only part of the problem. Once an AI system can take actions, you need to decide what it's allowed to do. We've already seen examples of public-facing AI systems producing ridiculous results because nobody properly constrained them. Guardrails should define where the AI has authority and what requires validation. They should also define when the system needs to stop and ask for help. Some decisions may require deterministic rules, while others may need human approval. This is another place where I don't think we should look at the problem as AI versus humans. A better solution may combine AI, deterministic software, validation rules, and people. Give each part of the system the job it's actually good at. Deployment Isn't the Finish Line Piyush's third piece was monitoring. I think this will become increasingly important as more companies put AI into production. You don't test the system once, deploy it, and forget about it. You need to watch what happens after release. What questions are users asking? What does the system return? What new exceptions appear? Where does it get confused? Those production interactions can become part of the feedback loop that improves the system. That's not very different from what we've learned from building software for years. Production teaches you things your test environment never will. AI can make the behavior less predictable, which makes monitoring and ownership even more important. Don't Forget the People Using the System You can choose the right use case, design the right architecture, and test everything correctly. The implementation can still fail if nobody uses it. John talked about enablement and training as a critical part of the rollout. This becomes especially important when AI changes an existing business process. Employees need to understand what changed, how to use the new system, and why the organization made the change. You also need to deal with the obvious concern that employees may think AI is there to replace them. If that's what people believe, don't be surprised when adoption becomes difficult. We've dealt with change management in software projects forever. AI hasn't removed the human side of implementation. The Most Powerful Model Isn't Always the Right Model Our bonus conversation moved into another area that more businesses are starting to discover: running AI in production can get expensive. Most people first experience AI through ChatGPT, Claude, Copilot, or another chat interface. Production workflows can look very different. An agent might ingest emails, read PDFs, extract information, transcribe documents, and call other systems. Now imagine doing that thousands of times. John explained that businesses need to understand these cost drivers because AI expenses can vary much more than a traditional monthly SaaS bill. Piyush made another good point here. The biggest and most capable model isn't automatically the right model for every task. If you're doing a simple email summary, do you really need the most expensive frontier model available? Probably not. Route the Work to the Right Tool This brought us back to something we discussed in part one. Sometimes the right solution isn't AI at all. Piyush described task-based routing, where the system decides what capability a particular task needs. A simple request might go to a smaller model. A complex reasoning problem could go to a more capable model. A deterministic task might go directly to traditional code. This approach can improve cost, speed, and predictability. John also talked about making systems LLM agnostic. You don't want to lock an entire business process into whichever model happens to be popular today. This market moves incredibly fast, and today's best choice may not be the best choice a year from now. That's more than a technical architecture decision. If you're building something the business expects to run for years, you need to think about changes in pricing, vendors, and technology. Build for the Business, Not the AI Trend The biggest thing I took away from this second part of our conversation is that successful AI implementation looks a lot like good engineering. Understand the problem, know where your data comes from, establish ownership, and define the expected outcome. Then test the system, add controls, monitor production, and make sure the people using it understand the change. AI gives us some incredible new capabilities, but it doesn't make those fundamentals disappear. If anything, it makes the cracks more obvious when we skip them. Before you automate that next process, take a hard look at what you're actually automating. If the process is broken, the data is bad, nobody owns the outcome, and you can't measure success, AI probably isn't your first problem. Otherwise, you may not be automating your business. You may just be automating the chaos. Stay Connected: Join the Developreneur Community

Lots of things are better with friends - video games included! Grab a controller and join us as we talk about cooperative video games! Before the conversation starts (32:55), we check in on what we've been reading, watching, and thinking about lately.Reading? 90s Superman Comics (Death of Superman Arc) by a bunch of people'Project Hail Mary' by Andy WeirWatching?Current Superhero Cartoons (My Adventures with Superman, Your Friendly Neighborhood Spider-Man, X-Men 97, Batman Caped Crusader)Landscape Artist of the Year (Sky Arts)Thinking About?Hello Kitty x Godzilla CrossoverFind us on Bluesky & Instagram: @NovelGamingPodSend us an e-mail: novelgamingpodcast@gmail.comLogo by: Katie!Theme song: "Bit Bossa" by Azure

Traditional peer review processes are breaking down in the new AI era. Dylan Ratcliffe, founder and CEO of Overmind Technology, joins Ned and Kyler to discuss the importance of treating AI as a machine to be audited rather than a peer. Together they share practical advice on how to adapt peer review processes and culture... Read more »

Traditional peer review processes are breaking down in the new AI era. Dylan Ratcliffe, founder and CEO of Overmind Technology, joins Ned and Kyler to discuss the importance of treating AI as a machine to be audited rather than a peer. Together they share practical advice on how to adapt peer review processes and culture... Read more »

Traditional peer review processes are breaking down in the new AI era. Dylan Ratcliffe, founder and CEO of Overmind Technology, joins Ned and Kyler to discuss the importance of treating AI as a machine to be audited rather than a peer. Together they share practical advice on how to adapt peer review processes and culture... Read more »

In this episode, Michael and Sarah talk to Orin Thomas about security improvements in Windows Server 2025. We realize this is an Azure podcast, but many people deploy Windows VMs!We also security news about CosmosDB, GitHub Copilot and Quantum development, ASP.NET and PQ hybrid TLS 1.3 and more!https://aka.ms/azsecpod

Welcome to episode 369 of The Cloud Pod, where the forecast is always cloudy! Justin, Ryan, and (eventually) Matt are in the studio this week to bring you all the latest news in AI and Cloud, including a new local zone in Vegas, a 20th birthday, and some OAuth news thanks to Cloudflare. There's a lot to cover, so let's get into it!  Titles we almost went with this week What Happens In Local Zones Stays Low-Latency When Git Push Comes to Scaling Shove Twenty Policies Walk Into a Role AWS Bets Big on Latency in Vegas Local Zone AWS Hits the Jackpot with New Local Zone Two Decades of Instances, Zero Midlife Crisis EC2 Turns 20, Still Refuses to Retire Happy Birthday EC2, Now With 1,200 Candles Lambda Finally Lets IAM Policies Multitask Like Adults Cloudflare’s OAuth Diet: Trimming the Permission Fat Hugging Face Squeezes Out a 13 Billion Dollar Valuation Bedrock Slashes GPT-5.6 Sol Prices, Wallets Rejoice GitHub’s Capacity Crisis Sparks Retry Storm Reckoning A big thanks to this week's sponsors: We're sponsorless! Want to get your brand, company, or service in front of a very enthusiastic group of cloud news seekers? You've come to the right place! Send us an email or hit us up on our Slack channel for more info. Follow Up 01:45 The August 17 outage, and the work ahead Update on GitHub’s August outages: root cause analysis published for the August 17 incident, which lasted nearly 8 hours and followed an earlier August 6 Actions failure. Root cause identified as a capacity failure, not a code or configuration change: a critical infrastructure component in the Central US data center failed to scale at a new traffic peak, triggering authentication failures and cascading disruption across services including Copilot, which was prolonged by a client-side retry loop. Since April, GitHub has added over 3 million CPU cores and 120 petabytes of storage, and accelerated Azure migration; Azure now handles approximately 58 percent of platform load and half of Git operations, up from 12 percent in May. Monthly commit volume has roughly doubled since April, from 1.4 billion to 2.9 billion, underscoring the scaling pressure behind both incidents and explaining, though not excusing, per GitHub, the repeated failures. Concrete remediation steps include consistent retry limits and budgets across service-to-service calls to prevent retry storms, a review of lower-priority CPU and memory alerts, and continued work isolating critical systems to reduce shared dependencies and blast radius. 03:07 Justin – “It felt a little ‘woe is me, capacity is a problem,' but it feels like more of the same lip service from them… maybe we need to rethink some core fundamentals of how Git works. Git was designed for humans… around human speed and human scale. ”  General News 14:03

00:03 — According to recent reports, Microsoft is set to reveal its Maia 300 AI accelerator as early as September this year. For context, Microsoft launched Maia 200 back in January with the direct aim of reducing the cost of AI inference. 00:27 — The Maia 300 is expected to support both AI training and inference, but the key story here is the scale of ambition behind it. Now, Microsoft is once again partnering with TSMC, Taiwan Semiconductor Manufacturing Company, who delivered the first iteration of Maia chips. However, this time, the scale is much larger. increasing from tens of thousands of Maia 200 accelerator units. 00:54 — It's increasing from tens of thousands of Maia 200 accelerator units to potentially hundreds of thousands, or even over a million Maia 300 chips. For me, this initiative is really about Azure. By investing in these chips, Microsoft isn't necessarily trying to compete with NVIDIA. Rather, it aims to ensure that Azure doesn't rely entirely on NVIDIA infrastructure. 01:14 — This move will give Microsoft greater control over the cost, supply, and performance of the AI infrastructure running on Azure. And beyond that, Microsoft CEO Satya Nadella has stated that building the company's own silicon to work alongside NVIDIA and AMD chips is a priority. 01:35 — The successful launch of Maia 200 demonstrated that Microsoft's custom silicon strategy can work, albeit on a relatively small scale. The hope now is that Maia 300 will enable Microsoft to scale this strategy into a genuine competitive advantage for Azure. Visit Cloud Wars for more.

Anika sat down with Leysan Zigangirova to explore how marketing leadership must evolve as artificial intelligence makes content creation almost free. The conversation revealed a crucial truth: AI cannot replace human judgment, strategic risk-taking, or deep audience insight. Leysan's 15-plus-year background spanning Procter & Gamble, Philip Morris, Microsoft, Nebius, and now Async offered practical insights into transitioning from consumer marketing to tech startups, rebranding major products, and keeping human taste at the center of innovation.   In This Episode The early career roots in consumer market intelligence at P&G and managing the Marlboro Gold original rebrand Shifting from fast-moving consumer goods to enterprise tech at Microsoft Building Yandex Cloud from scratch and leading the visual identity and brand name creation for Nebius Taking a 15-country sabbatical around the world and how it built mental agility for the AI era Why marketing must share a revenue KPI with sales to eliminate department silos The danger of waiting for perfect data versus making bold, human-driven decisions Why Async shifted from Podcastle to focus on asynchronous creativity and editing co-creation The growing importance of human taste as a competitive advantage against AI-generated "slop"   Timestamps 04:11 — Managing the Marlboro Lights rebrand to Marlboro Gold and navigating ethical challenges within restricted tobacco markets. 07:13 — Transitioning into the technology sector at Microsoft and working on the Azure cloud rollout. 08:58 — Building Yandex Cloud from scratch and co-founding the brand identity for Nebius, leading to $700 million in strategic financing. 10:33 — Taking a life-changing 15-country global sabbatical and using that mental agility to adapt to fast-paced AI environments. 16:11 — Unifying metrics: Why marketing and sales must share revenue KPIs to build trust and eliminate departmental silos. 18:37 — Navigating uncertainty: The danger of waiting for complete data and why human risk-taking separates leaders from AI. 21:30 — Balancing AI automation with human judgment, resource reality, and operational limitations. 23:48 — The evolution of Async: Transitioning from Podcastle to an AI-native editing co-pilot for asynchronous creativity. 25:44 — The value of human taste: Why subjective perspective and authentic quality serve as the ultimate competitive defense against AI "slop". 31:47 — Advice for modern founders: Starting with core user conversations and anchoring strategy in founder passion.   Key Insights & Takeaways   Insight 1: AI Lacks Resource Reality and Risk-Taking   While AI optimizes productivity and text/image generation, it cannot comprehend internal team dynamics, operational capabilities, or resource realities. Furthermore, AI avoids risk, whereas human leadership relies on making bold decisions with incomplete data.   Insight 2: Marketing Must Share Revenue KPIs   Treating marketing purely as a brand equity exercise builds a wall between departments. When marketing shares a revenue KPI with sales, data tracking improves, inter-departmental hostility dissolves, and both teams work cohesively.   Insight 3: Speed Trumps Perfect Data in Fast-Moving Markets   Planning cycles have shrunk from annual strategies down to monthly or bi-weekly alignments. Waiting for complete data causes organizations to miss their window; modern leaders must embrace calculated risks and navigate blind spots faster than competitors.   Insight 4: Human Taste is the Ultimate Competitive Advantage   As AI-generated content increases, the internet is flooded with low-quality "slop". True market distinction stems from human taste, subjective perspective, and genuine emotional connections that technology cannot replicate.   Insight 5: Rebranding Requires a Deep Structural Pivot   A successful rebrand goes far beyond semantics. When Podcastle evolved into Async, it mirrored a complete structural shift toward asynchronous video creation, ensuring the brand identity aligned directly with evolving user needs and product reality.   Resources & Links Mentioned Async (formerly Podcastle)  Nebius Microsoft Azure   About Leysan Zigangirova Leysan Zigangirova is a seasoned marketing leader with over 15 years of experience scaling global brands. Starting her career in consumer and market intelligence at Procter & Gamble and managing iconic portfolios at Philip Morris, she later transitioned into technology. She spent four years at Microsoft, helped build Yandex Cloud from scratch as a founding member, created the brand identity for Nebius—which attracted $700 million in financing—and traveled across 15 countries on a life-changing sabbatical. Today, she serves as the Chief Marketing Officer at Async, helping creators and teams embrace asynchronous video creation and AI-driven editing.   Connect with Leysan LinkedIn: https://www.linkedin.com/in/lzigangirova/ Website:  https://async.com Like the show? Leave us a rating or review: https://lovethepodcast.com/67940257010b317cdaa9d857Follow the Show: https://followthepodcast.com/67940257010b317cdaa9d857Send a Message: https://podcastfeedback.com/67940257010b317cdaa9d857Check out our Website: https://www.yourbrandamplified.comSpeak to my Delphi Clone: https://www.delphi.ai/amplifywithanika Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

William Collins and Eyvonne Sharp dig into the latest AI headlines, from the largest copyright settlement in American history to stolen AI models and invisible watermarks on Claude output. Plus, they discuss why so many companies have rallied around NVIDIA’s support for open weight AI models. Our hosts also examine the biggest questions arising from... Read more »

Alice Han and James Kynge break down Microsoft's five-year retreat from China — shuttered offices, closed retail stores, and thousands of jobs wound down — while the company quietly keeps selling Azure and AI services to Chinese giants like ByteDance and Shein. They dig into what's driving the pullback, whether this is the decoupling everyone's been warning about, and the irony that Microsoft's Beijing R&D center helped train alumni now leading rivals like DeepSeek and SenseTime. Then: former Chinese premier Zhu Rongji — the man who steered China into the WTO in 2001 and became known as "China's Thatcher" — has died at 97. Alice and James look at his legacy, from a 12x increase in China's global trade to the tens of millions of state-enterprise workers laid off along the way, and what the surprisingly unscripted outpouring of grief on Weibo says about China today. Finally: Typhoon Dolphin has weakened to a tropical storm, but not before forcing over a million evacuations, grounding 40% of Shanghai's flights, and pushing Hong Kong to its hottest day on record. Subscribe to China Decode on Substack for weekly analysis, livestreams, and deep dives into the biggest story shaping the global economy: chinadecode.profgmedia.com. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Internal policy conflicts hamper U.S. military AI leadership. Clop claims GE, Philips and Shell. Attackers actively probe internet-facing GeoServer instances. “The Hatman” offers millions of alleged employee records for sale. ETSI begins the approval process for European cyber standards. Microsoft is still working on a patch for the ShieldBreak vulnerability. Autonomous AI systems create CPU bottlenecks. Monday business briefing. Our guest is Nick Warner, CEO at Neo.ai, on the shifting landscape around AI and agentic security. AI agents kneecap each other with self-replicating malware. Remember to leave us a 5-star rating and review in your favorite podcast app. Miss an episode? Sign-up for our daily intelligence roundup, Daily Briefing, and you'll never miss a beat. And be sure to follow CyberWire Daily on LinkedIn. CyberWire Guest On today's Industry Voices segment, we are joined by Nick Warner, Neo.ai's CEO, discussing the shifting landscape around AI and agentic security. If you enjoyed this conversation, be sure to check out the full interview here. Selected Reading The U.S. Military Wants A.I. Dominance. Feuds and China May Thwart It. (The New York Times) Philips and GE investigating Clop ransomware data theft claims (Bleeping Computer) Attackers Probe Critical GeoServer SQL Injection Vulnerability (Hack Read) Crook hawks millions of records allegedly plundered from corporate Azure tenants (The Register) ETSI Proposes 17 Cybersecurity Standards to Support EU CRA (Infosecurity Magazine) Microsoft working on Defender patch for ShieldBreak zero-day (Bleeping Computer) Agentic AI Crunch Creates CPU Comeback (IEEE Spectrum) Corma raises $60 million in seed funding. (N2K) Conflicting Test Goals Pushed Claude Agents to Deploy Self-Replicating Malware (SecurityWeek) Share your feedback. What do you think about CyberWire 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? N2K CyberWire helps you reach the industry's most influential leaders and operators, while building visibility, authority, and connectivity across the cybersecurity community. Learn more at sponsor.thecyberwire.com. The CyberWire is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc.