Podcasts about MCP

John Bartleman, the CEO of TradeStation, is here today to talk about how AI will transform the future of trading. John shares his background and the evolution of TradeStation from early backtesting software to a full-service broker, while explaining how its roots in systematic trading differentiated it from competitors. He outlines major industry shifts, along with the benefits and challenges of dark pools and institutional order flow. We also dive into how AI is transforming trading, as John describes his own use of MCP-enabled AI agents for research, portfolio analysis, trade structuring, and more. AI may radically reshape fintech analytics and asset management, enabling traders to work more efficiently and pushing the industry toward fewer traditional money managers and more AI-driven decision systems. We discuss...  Record money market fund levels are being widely misinterpreted, as the balances often represent defensive positioning rather than pent-up buying power. Many investors mistakenly assume large cash balances automatically signal a coming equity influx, ignoring the behavioral reasons people hold cash. The tariff headline created rapid swings in futures markets, revealing how sensitive positioning is ahead of the election. A sharp crypto drawdown triggered widespread stop-loss cascades across major tokens, amplifying downside pressure in a classic liquidity vacuum. Seasonal trends typically provide a tailwind this time of year, but macro uncertainty is preventing markets from fully leaning into the pattern. Investors are observing a notable rotation away from mega-cap tech and toward value-oriented and small-cap sectors. The dispersion between the top seven tech stocks and the rest of the index remains near historic extremes. Elevated cash levels and volatility suggest institutional investors are selectively adding risk rather than buying broadly. Market breadth is improving modestly, but not enough yet to signal a durable trend reversal. Short-term traders are capitalizing on intraday volatility spikes driven by headlines and algos. Longer-term investors remain focused on earnings resilience and margin stability across sectors. Companies with global exposure are expressing concern about potential policy shifts after the election. Energy and industrials are gaining attention as potential beneficiaries of a reflationary environment. Tech remains bifurcated between AI-driven leaders and more traditional software names experiencing deceleration. Crypto markets continue to influence risk appetite, even among investors who do not directly hold digital assets.   Today's Panelists: Kirk Chisholm | Innovative Wealth Barbara Friedberg | Barbara Friedberg Personal Finance Diana Perkins | Trading With Diana Follow on Facebook: https://www.facebook.com/moneytreepodcast Follow LinkedIn: https://www.linkedin.com/showcase/money-tree-investing-podcast Follow on Twitter/X: https://x.com/MTIPodcast For more information, visit the show notes at https://moneytreepodcast.com/the-future-of-trading-john-bartleman-766

In this episode of CISO IT, host Jason Kikta, CTO of Automox, brings you insights straight from the floor of Microsoft Ignite. After meeting with customers, partners, and countless IT pros, one message came through loud and clear: reliability and consolidation matter now more than ever.Jason breaks down why teams are exhausted by tool sprawl, frustrated by unreliable platforms, and ready to reclaim time by eliminating manual, repetitive work. From the renewed demand for a unified operational view to the rising expectation that software simply works, this conversation explores the real-world pressures facing IT in 2025.He also dives into the industry's growing shift toward automation and agentic AI, including how MCP servers are expanding what's possible for modern IT environments – and why progress, not perfection, remains the guiding principle for practitioners everywhere.Whether you're fighting tool fatigue, navigating evolving IT stacks, or exploring the next wave of AI-driven operations, this episode offers a grounded, practitioner-first perspective from one of the most influential events of the year.Tune in for insights from the Ignite show floor and a candid look at the future of IT operations.

Curious about AI identity and MCP servers? Join us as Tobin South breaks down securing agents, fine-grained access, and the future of AI identity. Share your thoughts below!https://codingcat.dev/podcast/identity-access-management-for-agents-with-tobin-south00:00 Meet Tobin South06:11 MCP Security Challenges13:28 Agent to Agent Future24:28 MCP Server Setup33:12 Real-World Orchestration40:53 MCP Protocol Updates42:15 Closing Thoughts

Curious about OAuth, MCP servers, and building cool ChatGPT apps? Hear from Max of Stytch as we dive deep, break down the tech, and build a Tamagotchi together! Drop your thoughts and share if you enjoyed it.https://codingcat.dev/podcast/how-oauth-mcp-and-the-openai-apps-sdk-power-the-next-generation-of-interactive-ai-experiences00:00 Meet Stytch & Max01:20 Consumer Identity07:04 Deep Dive OAuth09:37 MCP Explained17:59 Security Risks19:59 Next-Gen Apps24:37 Building Chatagotchi34:09 MCP Code Walkthrough51:52 Future Predictions53:02 Closing Thoughts

Aujourd'hui, les IA nous répondent. Demain, elles agiront pour nous.Charles Sonigo a compris que la vraie révolution de l'IA ne se joue pas dans les modèles de langage, mais dans leur capacité à interagir avec nos outils.En 2024, après avoir observé des agents IA galérer sur des actions pourtant simples, il se convainc qu'il faut repenser la façon dont l'IA communique avec les services existants.Début 2025, il cofonde Alpic, une startup entièrement dédiée au protocole MCP (Model Context Protocol), qui permet aux agents IA d'utiliser nativement les produits et services web.Dans cet épisode, Charles nous explique ce qu'est MCP, comment il se différencie d'une API traditionnelle, et pourquoi ce protocole pourrait bien devenir une des couches critiques de l'Internet de demain.On parle aussi de sécurité, d'expérience agentique, et des erreurs à éviter quand on conçoit un MCP serveur.————— PARTENARIAT —————Cet épisode est réalisé en partenariat avec NextLevel, qui accompagne les équipes tech dans l'adoption de l'IA et la création de Playbooks IA pour les équipes tech.————— CHARLES SONIGO —————Retrouvez Charles sur LinkedIn : https://www.linkedin.com/in/charles-sonigo-135a4340/Découvrez Alpic : https://alpic.ai————— CHAPITRAGE —————(01:12) Introduction à l'Opinionated(02:32) L'expertise de Charles(03:35) Qu'est-ce qu'un MCP ?(09:09) La différence avec une API traditionnelle(09:46) L'expérience agentique(17:57) Genèse du protocole MCP(19:14) Évolutions du MCP(21:46) Les enjeux de sécurité(34:58) Comment concevoir un MCP ?(49:54) Déploiement et Distribution(52:21) Intégration des MCP Serveurs(01:01:35) Mission d'Alpic et Hébergement(01:03:47) Cas d'Usage de MCP(01:09:27) Sécurité et Confiance dans les MCP(01:11:37) Erreurs et antipatterns des MCP(01:17:57) Ressources pour développeurs————— RESSOURCES —————Protocole MCP (Model Context Protocol)Services de LLM : Le Chat (Mistral), Claude (Anthropic), ChatGPT (OpenAI)Cursor et VS CodeMCP Server utilisés par Charles : GitHub, Sentry, LinearFrameworks d'authentification : Stitch, WorkOS, ScaleKitMCP Inspector (Anthropic)MCP JamCloudflareZillowStreamrootPassport.dev, le sponsor de ce hors-sérieAlpic : plateforme de hosting MCP cofondée par Charles————— 5 ÉTOILES —————Si cet épisode vous a plu, pensez à laisser une note et un commentaire - c'est la meilleure façon de faire découvrir le podcast à d'autres personnes !Envoyez-moi une capture de cet avis (LinkedIn ou par mail à dx@donatienleon.com) et je vous enverrai une petite surprise en remerciement.

“AI Radar od Thoughtworksa” - Szymon ironicznie nazywa Technology Radar Vol. 33, który zamienił się w zbierankę AI-owej drobnicy. “Tu jak wcześniej były jakieś większe tematy, to tu jest dużo mikro narzędzi” - fragmentacja ekosystemu AI w pełnej krasie. MCP podbija rynek (każdy vendor dodaje support), A2A umarł (“vendorzy będą się bronić rękami i nogami”), AI-accelerated shadow IT wraca jako antypattern, service mesh bez sidecarów pojawił się dwa lata za późno (“to powinno być w Adopcie już dawno temu”). CloudNativePG? “Naprawdę bardzo dobrze zrobione.” N8N? “Po co ja to robiłem? To mogłyby być trzy linijki kodu.” A Text-to-SQL? Łukasz stawia sprawę jasno: “Kluczem niestety jest to, że schematy baz danych relacyjnych noszą wiedzę plemienną” - i problemem nie jest GenAI, tylko klasyczne: kupa na wejściu, kupa na wyjściu. Plus DeepEval z “LLM as a judge” do testowania AI w CI/CD - wreszcie sposób na pilnowanie, czy model nie zwariował po cichu. Twój stack też wygląda jak zbieranka drobnicy? Przynajmniej teraz wiesz, że nie jesteś sam.

What if your company stopped chasing quarterly goals and spent an entire month training every employee on AI? That's exactly what AppsFlyer did, and it completely transformed how they approach innovation.In this episode, AppsFlyer down with Barak Witkovsky, Chief Product Officer of AppsFlyer, to discuss one of the boldest AI transformation experiments I've ever heard of. For four weeks, they paused regular business objectives and put all 1,300 employees through an AI builder course. Not on top of their work. AS their work.What We Cover:1. Why AppsFlyer stopped chasing OKRs to invest in AI education across the entire company2. How AppsFlyer's CEO and CPO learn about AI from their own employees (including marketers who know more than developers at other companies)3. How AppsFlyer evolved from a measurement platform into a modern marketing cloud with autonomous AI agents4. How do you get marketers to trust AI when they're deploying tens of millions in ad spend?5. Why AppsFlyer is betting on an open AI ecosystem with MCP and Agent Hub6. Are marketers becoming obsolete or are they about to become "bosses of agents"?7. Why executives are bullish on AI while directors and managers feel anxious (and what to do about it)Timestamps:00:00 AI Integration at AppsFlyer04:15 The ROI of AI Investments05:14 Evolution to a Modern Marketing Cloud16:30 Challenges of Omnichannel Measurement22:26 AI Agents in Marketing27:01 Becoming an AI-First Company31:29 The Role of AppsFlyer in the AI Ecosystem44:38 The Ultimate Growth Machine Vision47:18 Final Thoughts

In our latest episode, our co-hosts Robby and Tim talk with Yoni Michael and Kostas Pardalis, Co-Founders of Typedef. Both have deep backgrounds in data infrastructure (Starburst, Tecton, etc.) and, after meeting through a "blind date" at Blue Bottle Coffee, decided to team up to address the growing brittleness of large-scale data pipelines - issues made worse by the rise of AI.They explain how traditional systems like Spark weren't designed for today's AI workloads, especially unstructured data and LLM inference. Fenic was their answer: an open-source engine and DataFrame library built specifically for LLM workflows, multi-step reasoning, and agentic systems - without the operational complexity.Their biggest lessons: start GTM early, talk to as many data leaders as possible, and keep validating - insights that led directly to open-sourcing Fenic and building its MCP-powered developer experience.

How a Former Startup Founder (Nancy Xu) is Building the Future of AI Agents at Salesforce Agent ForceJoin us for an insightful conversation with a Salesforce Agent Force leader who previously founded Moon Hub and holds a PhD in Computer Science from Stanford. In this episode, Nancy Xu reveals her unconventional hiring strategies, including asking candidates "what tabs are open in your Chrome browser," and shares why relentless curiosity is the top signal she looks for when building AI teams. Discover how she transitioned from startup founder to enterprise AI leader while maintaining a culture of trust and autonomy.Nancy Xu breaks down the future of work with AI agents, explaining how we'll all transition from "producers" to "directors" as agent orchestration becomes central to every role. Learn about Salesforce's trust layer for Agent Force, the importance of humans in the loop for iterative agent improvement, and why the next 100 years of AI development represents humanity's greatest opportunity since mapping the world. This conversation offers tactical hiring advice, leadership insights on managing impatience as a strength and weakness, and a compelling vision for how AI agents will transform customer experience roles.Key Topics Covered:Unconventional interview questions that reveal candidate curiosity and passion beyond traditional resumesThe three intangibles to look for when hiring: relentless curiosity, mastery of craft, and passionWhy future roles will focus on "what and why" rather than "how" as AI agents handle executionAgent orchestration frameworks including MCP and ATA for agents working with other agentsThe critical role of humans in the loop for continuously iterating agent objective functionsHow trust operates as the number one value at both Salesforce and startup environmentsLeadership philosophy of hiring great people and giving them autonomy within clear directionManaging impatience as both a greatest strength and weakness in leadershipThe blending of research, product, and engineering roles in AI-native companiesWhy this moment in history is humanity's chance to positively impact the course of civilization through AIEpisode Timestamps:00:00 - Introduction and unconventional hiring philosophy01:42 - The Chrome browser tabs question and looking beyond traditional resumes03:21 - Hiring for curiosity in a world where jobs will transform in two years05:15 - From producers to directors: The future of work with AI agents07:18 - Comparing culture at Salesforce Agent Force vs Moon Hub startup09:28 - Operating from trust: Lessons from Stanford PhD program on autonomy11:02 - Greatest weakness: Managing impatience as a founder turned enterprise leader13:14 - Advice for 21-year-olds: Pursue passion and blend across departments15:54 - Why now is the perfect moment in human history to work on AI17:10 - Closing thoughts on making positive impact through AI developmentAbout the Guest:This episode features Nancy Xu, a product and engineering leader on the Salesforce AgentForce team who previously founded Moon Hub, an AI-powered talent platform. She holds a PhD in Computer Science from Stanford and brings systems thinking and mathematical rigor to building enterprise AI agents. Her work focuses on agent orchestration, trust layers, and enabling humans to work alongside AI at scale.About Salesforce/Agentforce:Salesforce Agent Force is an enterprise AI agent platform that enables businesses to deploy autonomous agents across customer service, sales, and operations. Built with trust as the number one value, Agent Force includes enterprise-grade governance, security, and a trust layer that handles compliance at scale. The platform focuses on agent orchestration, allowing multiple agents to work together while keeping humans in the loop for strategic direction

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0:00 Por qué vende Peter Thiel 10:14 Llega el Black Friday a FlexiSpot 12:17 GPT 5.1 abarca pero ¿no aprieta? 22:22 Grok 4.1 se especializa en lo suyo 30:04 Gemini 3 Pro hace feliz a Antonio 53:27 La IA no se hace sola: Nvidia, Qwen y MCP 57:00 Anthropic y el ciberataque masivo con IAPromo: ¡Llega el Black Friday a FlexiSpot y nosotros te regalamos un 10% adicional en todo el catálogo con el código FSBF10, incluida la silla C7 Max que recomienda Matías y el escritorio elevable E7 Flow en preventa. Además en FlexiSpot ofrecen reembolso en el 100% del pedido https://deals.flexispot.es/c?c=34393&m=12&a=468363&r=&u=%2Fblack-Friday monos estocásticos es un podcast sobre inteligencia artificial presentado por Antonio Ortiz (@antonello) y Matías S. Zavia (@matiass). Sacamos un episodio nuevo cada jueves. Puedes seguirnos en YouTube, LinkedIn y X. Más enlaces en cuonda.com/monos-estocasticos/links - (0) Por qué vende Peter Thiel - (10:14) Llega el Black Friday a FlexiSpot - (12:17) GPT 5.1 abarca pero ¿no aprieta? - (22:22) Grok 4.1 se especializa en lo suyo - (30:04) Gemini 3 Pro hace feliz a Antonio - (53:27) La IA no se hace sola: Nvidia, Qwen y MCP - (57:00) Anthropic y el ciberataque masivo con IA

Ahead of Microsoft Ignite 2025, Windows boss Pavan Davuluri tweeted an innocuous post about nothing, and all hell broke loose. We are broken as a community and it's time to cull the herd. Ignite 2025 Fun aside: Google could have announced Gemini 3 at any time, but they chose the opening day of Ignite. Who's dancing now? No Satya and suddenly the keynote is watchable again Microsoft brings Anthropic models to Foundry along with Nvidia architecture MCP comes to Windows 11 in public preview for developers New Microsoft 365 Copilot agents for Word, Excel, and PowerPoint Agent 365 is the obvious name of an AI agent management service Windows 11 is getting agents on the Taskbar because it isn't annoying enough already Windows 11 Two new Release Preview builds, a new Canary build, and the first release of Copilot Actions The RP builds are a preview of Patch Tuesday in December, it's bigger than expected Dev/Beta build with experimental AI agent capabilities, more AI OpenAI released ChatGPT 5.1 and it's like no one noticed Mozilla announces AI window for Firefox, with immediate backlash Xbox and gaming Qualcomm JUST announced a new control panel for Snapdragon X gaming Hands-on with the Xbox Full Screen Experience (FSE) for Windows 11 FSE Transforms a gaming handheld PC into a device-like experience Frame rates see a dramatic jump in FSE Call of Duty, which was surprising Fortnite is coming to the Xbox app in Windows, adding Xbox Play Anywhere support Xbox announces a new set of titles coming to Game Pass across platforms Xbox Partner Preview event is set for November 20 As predicted, Steam Machine is the "Xbox Microsoft wanted to make." Yes, it's a good idea now that someone else is doing it Tips and picks Tip of the week: Tiny11 Builder, again Hardware pick of the week: Lenovo Legion Go 2 RunAs Radio this week: Azure SRE Agents with Deepthi Chelupati Brown liquor pick of the week: Jameson Rarest Vintage Reserve 2007 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: ventionteams.com/twit helixsleep.com/windows framer.com/design promo code WW

Ahead of Microsoft Ignite 2025, Windows boss Pavan Davuluri tweeted an innocuous post about nothing, and all hell broke loose. We are broken as a community and it's time to cull the herd. Ignite 2025 Fun aside: Google could have announced Gemini 3 at any time, but they chose the opening day of Ignite. Who's dancing now? No Satya and suddenly the keynote is watchable again Microsoft brings Anthropic models to Foundry along with Nvidia architecture MCP comes to Windows 11 in public preview for developers New Microsoft 365 Copilot agents for Word, Excel, and PowerPoint Agent 365 is the obvious name of an AI agent management service Windows 11 is getting agents on the Taskbar because it isn't annoying enough already Windows 11 Two new Release Preview builds, a new Canary build, and the first release of Copilot Actions The RP builds are a preview of Patch Tuesday in December, it's bigger than expected Dev/Beta build with experimental AI agent capabilities, more AI OpenAI released ChatGPT 5.1 and it's like no one noticed Mozilla announces AI window for Firefox, with immediate backlash Xbox and gaming Qualcomm JUST announced a new control panel for Snapdragon X gaming Hands-on with the Xbox Full Screen Experience (FSE) for Windows 11 FSE Transforms a gaming handheld PC into a device-like experience Frame rates see a dramatic jump in FSE Call of Duty, which was surprising Fortnite is coming to the Xbox app in Windows, adding Xbox Play Anywhere support Xbox announces a new set of titles coming to Game Pass across platforms Xbox Partner Preview event is set for November 20 As predicted, Steam Machine is the "Xbox Microsoft wanted to make." Yes, it's a good idea now that someone else is doing it Tips and picks Tip of the week: Tiny11 Builder, again Hardware pick of the week: Lenovo Legion Go 2 RunAs Radio this week: Azure SRE Agents with Deepthi Chelupati Brown liquor pick of the week: Jameson Rarest Vintage Reserve 2007 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: ventionteams.com/twit helixsleep.com/windows framer.com/design promo code WW

Ahead of Microsoft Ignite 2025, Windows boss Pavan Davuluri tweeted an innocuous post about nothing, and all hell broke loose. We are broken as a community and it's time to cull the herd. Ignite 2025 Fun aside: Google could have announced Gemini 3 at any time, but they chose the opening day of Ignite. Who's dancing now? No Satya and suddenly the keynote is watchable again Microsoft brings Anthropic models to Foundry along with Nvidia architecture MCP comes to Windows 11 in public preview for developers New Microsoft 365 Copilot agents for Word, Excel, and PowerPoint Agent 365 is the obvious name of an AI agent management service Windows 11 is getting agents on the Taskbar because it isn't annoying enough already Windows 11 Two new Release Preview builds, a new Canary build, and the first release of Copilot Actions The RP builds are a preview of Patch Tuesday in December, it's bigger than expected Dev/Beta build with experimental AI agent capabilities, more AI OpenAI released ChatGPT 5.1 and it's like no one noticed Mozilla announces AI window for Firefox, with immediate backlash Xbox and gaming Qualcomm JUST announced a new control panel for Snapdragon X gaming Hands-on with the Xbox Full Screen Experience (FSE) for Windows 11 FSE Transforms a gaming handheld PC into a device-like experience Frame rates see a dramatic jump in FSE Call of Duty, which was surprising Fortnite is coming to the Xbox app in Windows, adding Xbox Play Anywhere support Xbox announces a new set of titles coming to Game Pass across platforms Xbox Partner Preview event is set for November 20 As predicted, Steam Machine is the "Xbox Microsoft wanted to make." Yes, it's a good idea now that someone else is doing it Tips and picks Tip of the week: Tiny11 Builder, again Hardware pick of the week: Lenovo Legion Go 2 RunAs Radio this week: Azure SRE Agents with Deepthi Chelupati Brown liquor pick of the week: Jameson Rarest Vintage Reserve 2007 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: ventionteams.com/twit helixsleep.com/windows framer.com/design promo code WW

Ahead of Microsoft Ignite 2025, Windows boss Pavan Davuluri tweeted an innocuous post about nothing, and all hell broke loose. We are broken as a community and it's time to cull the herd. Ignite 2025 Fun aside: Google could have announced Gemini 3 at any time, but they chose the opening day of Ignite. Who's dancing now? No Satya and suddenly the keynote is watchable again Microsoft brings Anthropic models to Foundry along with Nvidia architecture MCP comes to Windows 11 in public preview for developers New Microsoft 365 Copilot agents for Word, Excel, and PowerPoint Agent 365 is the obvious name of an AI agent management service Windows 11 is getting agents on the Taskbar because it isn't annoying enough already Windows 11 Two new Release Preview builds, a new Canary build, and the first release of Copilot Actions The RP builds are a preview of Patch Tuesday in December, it's bigger than expected Dev/Beta build with experimental AI agent capabilities, more AI OpenAI released ChatGPT 5.1 and it's like no one noticed Mozilla announces AI window for Firefox, with immediate backlash Xbox and gaming Qualcomm JUST announced a new control panel for Snapdragon X gaming Hands-on with the Xbox Full Screen Experience (FSE) for Windows 11 FSE Transforms a gaming handheld PC into a device-like experience Frame rates see a dramatic jump in FSE Call of Duty, which was surprising Fortnite is coming to the Xbox app in Windows, adding Xbox Play Anywhere support Xbox announces a new set of titles coming to Game Pass across platforms Xbox Partner Preview event is set for November 20 As predicted, Steam Machine is the "Xbox Microsoft wanted to make." Yes, it's a good idea now that someone else is doing it Tips and picks Tip of the week: Tiny11 Builder, again Hardware pick of the week: Lenovo Legion Go 2 RunAs Radio this week: Azure SRE Agents with Deepthi Chelupati Brown liquor pick of the week: Jameson Rarest Vintage Reserve 2007 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: ventionteams.com/twit helixsleep.com/windows framer.com/design promo code WW

Ahead of Microsoft Ignite 2025, Windows boss Pavan Davuluri tweeted an innocuous post about nothing, and all hell broke loose. We are broken as a community and it's time to cull the herd. Ignite 2025 Fun aside: Google could have announced Gemini 3 at any time, but they chose the opening day of Ignite. Who's dancing now? No Satya and suddenly the keynote is watchable again Microsoft brings Anthropic models to Foundry along with Nvidia architecture MCP comes to Windows 11 in public preview for developers New Microsoft 365 Copilot agents for Word, Excel, and PowerPoint Agent 365 is the obvious name of an AI agent management service Windows 11 is getting agents on the Taskbar because it isn't annoying enough already Windows 11 Two new Release Preview builds, a new Canary build, and the first release of Copilot Actions The RP builds are a preview of Patch Tuesday in December, it's bigger than expected Dev/Beta build with experimental AI agent capabilities, more AI OpenAI released ChatGPT 5.1 and it's like no one noticed Mozilla announces AI window for Firefox, with immediate backlash Xbox and gaming Qualcomm JUST announced a new control panel for Snapdragon X gaming Hands-on with the Xbox Full Screen Experience (FSE) for Windows 11 FSE Transforms a gaming handheld PC into a device-like experience Frame rates see a dramatic jump in FSE Call of Duty, which was surprising Fortnite is coming to the Xbox app in Windows, adding Xbox Play Anywhere support Xbox announces a new set of titles coming to Game Pass across platforms Xbox Partner Preview event is set for November 20 As predicted, Steam Machine is the "Xbox Microsoft wanted to make." Yes, it's a good idea now that someone else is doing it Tips and picks Tip of the week: Tiny11 Builder, again Hardware pick of the week: Lenovo Legion Go 2 RunAs Radio this week: Azure SRE Agents with Deepthi Chelupati Brown liquor pick of the week: Jameson Rarest Vintage Reserve 2007 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: ventionteams.com/twit helixsleep.com/windows framer.com/design promo code WW

ServiceNow, the AI platform for business transformation, has announced a set of new and forthcoming integrations with Microsoft, including an integration with Microsoft Agent 365, that deliver seamless agentic AI orchestration and governance capabilities for joint customers. By uniting workflow intelligence, trusted cloud, and AI governance, the companies will connect copilots, agents, and data seamlessly across Microsoft 365 and the ServiceNow AI Platform, to enable comprehensive visibility, compliance, and control over AI agents, setting a new standard for enterprise AI. The new capabilities meet users where they work across the Microsoft 365 environment, turning insight into action instantly. From conversations in Microsoft Teams, to meetings scheduled in Microsoft Outlook, to documents created in Microsoft Word, ServiceNow is uniting agentic AI capabilities across systems - with trust, control, and measurable business outcomes built in.?The combined capabilities of ServiceNow and Microsoft allow businesses to effectively manage teams of AI agents that work together to accomplish tasks autonomously and deliver real business outcomes. "ServiceNow is enabling a new era of autonomous workflows where the power of AI is multiplied using deterministic workflows - putting AI to work for people in the most demanding global enterprises," said Jon Sigler, executive vice president and general manager, AI Platform at ServiceNow. "By seamlessly connecting agentic orchestration and governance across ServiceNow and Microsoft, we're giving organisations the power to manage and monitor intelligent agents that deliver real work and real impact - safely and at scale. This is how we move from isolated AI experiences to enterprise-wide automation, delivering trust, control, and ROI" "Agent 365 gives organisations a simple, secure way to bring agents under control, extending the same infrastructure, apps, and protections they already trust for users," said Nirav Shah, corporate vice president, Microsoft Agent 365 at Microsoft. "Through this integration with ServiceNow, customers can accelerate and scale their AI transformation while staying safe, with built-in security and governance capabilities that support confident innovation." Deliver visibility, compliance, and trust at enterprise scale The ServiceNow AI Control Tower will integrate with Microsoft Foundry and Copilot Studio to provide full oversight for agents deployed on Microsoft platforms. This integration lets organisations apply consistent policies and controls across platforms, ensuring secure and accountable innovation. Enterprises can automatically discover and manage Microsoft Foundry and Copilot Studio agents within the ServiceNow AI Platform. ServiceNow's Configuration Management Database (CMDB) underpins AI Control Tower, unifying information from both internal and external sources to provide AI Control Tower with continuous, context-rich visibility across systems, ensuring agents operate with the most current, cross-platform data within clearly defined governance parameters. Additionally, the AI Control Tower Value Dashboard monitors AI adoption, performance, and ROI - helping quantify business impact. Real-time monitoring provides visibility into security, governance, and risk, boosting confidence, ensuring compliance, and enabling organisations to scale AI investments responsibly. Unlock AI for developers ServiceNow Build Agent and GitHub now work together to securely share context and capabilities. With GitHub's Model Context Protocol (MCP) Server, ServiceNow Build Agent can securely access GitHub issues, pull requests and discussions, and automate repetitive tasks while keeping developers in control. The result is a frictionless, AI-assisted development experience where business and code workflows converge, eliminating context switching and boosting focus. This ability to use GitHub's MCP server with ServiceNow Build Agent marks a major step toward agentic systems that ...

Ahead of Microsoft Ignite 2025, Windows boss Pavan Davuluri tweeted an innocuous post about nothing, and all hell broke loose. We are broken as a community and it's time to cull the herd. Ignite 2025 Fun aside: Google could have announced Gemini 3 at any time, but they chose the opening day of Ignite. Who's dancing now? No Satya and suddenly the keynote is watchable again Microsoft brings Anthropic models to Foundry along with Nvidia architecture MCP comes to Windows 11 in public preview for developers New Microsoft 365 Copilot agents for Word, Excel, and PowerPoint Agent 365 is the obvious name of an AI agent management service Windows 11 is getting agents on the Taskbar because it isn't annoying enough already Windows 11 Two new Release Preview builds, a new Canary build, and the first release of Copilot Actions The RP builds are a preview of Patch Tuesday in December, it's bigger than expected Dev/Beta build with experimental AI agent capabilities, more AI OpenAI released ChatGPT 5.1 and it's like no one noticed Mozilla announces AI window for Firefox, with immediate backlash Xbox and gaming Qualcomm JUST announced a new control panel for Snapdragon X gaming Hands-on with the Xbox Full Screen Experience (FSE) for Windows 11 FSE Transforms a gaming handheld PC into a device-like experience Frame rates see a dramatic jump in FSE Call of Duty, which was surprising Fortnite is coming to the Xbox app in Windows, adding Xbox Play Anywhere support Xbox announces a new set of titles coming to Game Pass across platforms Xbox Partner Preview event is set for November 20 As predicted, Steam Machine is the "Xbox Microsoft wanted to make." Yes, it's a good idea now that someone else is doing it Tips and picks Tip of the week: Tiny11 Builder, again Hardware pick of the week: Lenovo Legion Go 2 RunAs Radio this week: Azure SRE Agents with Deepthi Chelupati Brown liquor pick of the week: Jameson Rarest Vintage Reserve 2007 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: ventionteams.com/twit helixsleep.com/windows framer.com/design promo code WW

What You'll Learn- Why legacy commerce APIs and EDI no longer suffice in today's fragmented commerce landscape- How AI and emerging protocols like MCP are accelerating the need for real-time fulfillment integration- The structure, tools, and resources defined by OnX for seamless order management across ecosystems- The nonprofit "business league" legal framework that keeps OnX vendor-agnostic and collaborative- The challenges commerce platforms face with OMS integrations and how OnX aims to reduce friction- The shift from platform-centric to protocol-centric commerce enabled by open standards- How industry players—brands, 3PLs, ERP, WMS, and commerce platforms—are rallying behind OnXHihghlights- 00:00 — Welcome, introduction to Kelly Goetsch and the focus: “Connected Commerce”- 02:00 — The fragmentation problem: marketplaces, social commerce, AI, and legacy EDI- 04:00 — The rise of MCP and Agentic Commerce Protocol as enablers for a new standard- 06:00 — Building a “big tent” network: OMS, 3PLs, WMSs, ERPs connectivity challenges- 10:00 — Commerce platform vs fulfillment backend: the tech and mindset divide- 14:00 — What is OnX? Tools, resources, member base, and the standard's scope- 18:00 — How MCP makes OnX possible, collapsing layers between selling and fulfillment- 22:00 — OnX's “business league” structure explained- 24:00 — Platform, payment, and AI player involvement and adoption challenges- 28:00 — How to participate: advisory boards, GitHub access, and community involvement- 30:00 — The future of connected commerce and invitation to join OnXQuotes[00:02:00]: "If the last decade was about composable commerce, the next one is about connected commerce." - Ninaad [00:04:00]: "AI is the reason for both of these. We're really, really collapsing down." - Kelly Goetsch [00:10:00]: "About 70% of enterprise brands still run point-to-point integration, and that has its own set of challenges." - Ninaad [00:22:00]: "The benefit of that is: we, as a community, get together and evolve and change as technology changes. And that's great." - Kelly Goetsch About the GuestKelly Goetsch is a technologist and strategist shaping the future of digital commerce and order fulfillment. Known for his leadership in the MACH Alliance and now Pipe17, Kelly has been a central voice in evolving commerce technology standards. He currently chairs the Commerce Operations Foundation, driving the development and adoption of the OnX standard for connected commerce.Links Mentioned- Commerce Operations Foundation website: commerceopsfoundation.org- Commerce Operations Foundation GitHub: github.com/commerceopsfoundation- Kelly Goetsch on LinkedIn: linkedin.com/in/kgoetsch- MACH Alliance: machalliance.org  Subscribe and Keep Learning!If you're a logistics leader looking to scale sustainably, don't miss out! Subscribe for more expert strategies on tackling modern supply chain challenges.Be sure to follow and tag the eCom Logistics Podcast on LinkedIn and YouTube

In this episode of Hands-On IT, host Landon Miles breaks down what MCP (Model Context Protocol) servers are, why they exist, and how they're transforming real-world IT automation.Before MCP, AI assistants struggled to interact with the tools, systems, and data IT teams rely on. With the rise of open-source MCP servers, models now have a standardized, permission-aware way to reach into infrastructure, pull context, and execute workflows safely.Landon also sits down with Henry Smith, who helped build the Automox MCP server prototype. Together, they explore:What MCP servers actually do and the problems they solveWhy the open-source model matters for IT teamsHow MCP provides a clean, consistent interface for tools and dataReal-world applications like report generation, patch policy creation, and audit log analysisHow Automox built its own MCP server using Fast MCPThe future of AI-driven IT operationsIf you're an IT admin, security engineer, or automation enthusiast, this episode provides a clear explanation and a practical look at MCP servers in action.Links: Automox MCP Blog: https://www.automox.com/blog/automox-mcpAutomox MCP Git Repo: https://github.com/AutomoxCommunity/automox-mcp

Nilo Stolte explains why Zig is "a totally new way to write programs", George Mack gives twelve actionable ways to be more creative, Mario Zechner shares his findings on using MCP vs Bash tools, Josh Collinsworth compares creating AI art to medieval alchemy, LibrePods unlocks AirPods features for Android, and our first ever Changelog News Classifieds.

AI is no longer a buzzword, it is quietly reshaping how companies work, hire, and compete. In this episode, I sit down with AI and automation expert (and repeat founder) Luke Thompson to unpack the real state of AI and what it means for business leaders. We talk about why free AI tools give you a false sense of security, why executives must lean in instead of banning AI, and how to build simple automations that tame your inbox and free up real time. Luke breaks down digital twins, MCP, agent workflows, and security risks in plain English, with practical examples you can apply this week. If you are a CEO, founder, or executive trying to decide what to do next with AI, this conversation is your roadmap. ----- Frustrated with your government contracting journey? Join our group coaching community here: federal-access.com/gamechangers Grab my #1 bestselling book, "I'm New to Government Contracting. Where Should I Start?" Here: https://amzn.to/4hHLPeE Book a call with me here: https://calendly.com/michaellejeune/govconstrategysession

Today we are talking about MCPs, AI Automators, and AI Agents with guest Marcus Johansson. We'll also cover AI Ecosystem Recipe as our module of the week. For show notes visit: https://www.talkingDrupal.com/529 Topics Understanding Model Context Protocol (MCP) AI Automators in Drupal Creating Complex Workflows with Automators Simple and Effective Automator Use Cases AI Image Alt Text and Contextual Understanding AI Tagging and Content Management Introduction to AI Agents in Drupal Challenges and Future of AI Agents Real-World Applications and Future of AI in Drupal Proliferation of Orchestration Tools Resources ai initiative issue queue Recipes from 1xInternet https://www.drupal.org/project/ai_recipe_image_classification https://www.drupal.org/project/ai_recipe_llm_optimized_content https://www.drupal.org/project/ai_recipe_seo_optimizer MCP xkcd Tool API Slack MCP Server Drupal MCP MCP Client JSON API wrapper Tagify Views Agent Context control center Marriage podcast Guests Marcus Johansson - workflows-of-ai.com marcus_johansson Hosts Nic Laflin - nLighteneddevelopment.com nicxvan John Picozzi - epam.com johnpicozzi Martin Anderson-Clutz - mandclu.com mandclu MOTW Correspondent Martin Anderson-Clutz - mandclu.com mandclu Brief description: Have you ever wanted to explore the AI capabilities of Drupal, but didn't know where to start? There's a Drupal recipe for that. Module name/project name: AI Ecosystem Recipe Brief history How old: created in Oct 2024 by Marcus Johansson (marcus_johansson of FreelyGive.io Versions available: 1.0.0-alpha2, which requires Drupal 10.3 or newer Maintainership Actively maintained Number of open issues: 2 open issues, both of which are bugs Module features and usage When you require and apply this recipe to your Drupal site, you'll be able to start working with a variety of LLMs and specialized AI-based services You'll be able to ingest unstructured content and map it to structured fields automatically. Or generate a detailed SEO analysis of your nodes. There are multiple translation tools, crawlers to help work across entire sites, and more. This recipe is likely something you would apply to a sandbox site, to understand the various ways to achieve something specific with AI and Drupal, and then apply whatever is best for your use case to your actual site build. But it's a useful resource for a Drupalist wanting to start exploring some of the growing list of options for working with AI, or someone familiar with AI tools who wants to start using them with Drupal.

Zach is joined by Hui Couch to talk about how she uses the model to inspire her multi-lingual learners in math class, and to talk about how she approached designing a presentation for other teachers on using MCP in math classes Show Notes MCP Podcast Episode 246: Math Mentor Relationship (https://podcast.modernclassrooms.org/246) MCP Podcast Episode 243: Math and ELL (https://podcast.modernclassrooms.org/243) MCP Math Playbook Resources (coming soon!) Connect with Hui by email at hui.couch@modernclassrooms.org (mailto:hui.couch@modernclassrooms.org) Contact us, follow us online, and learn more: Email us questions and feedback at: podcast@modernclassrooms.org (mailto:podcast@modernclassrooms.org) Listen to this podcast on Youtube (https://www.youtube.com/playlist?list=PL1SQEZ54ptj1ZQ3bV5tEcULSyPttnifZV) Modern Classrooms: @modernclassproj (https://twitter.com/modernclassproj) on Twitter and facebook.com/modernclassproj (https://www.facebook.com/modernclassproj) Kareem: @kareemfarah23 (https://twitter.com/kareemfarah23) on Twitter Toni Rose: @classroomflex (https://twitter.com/classroomflex) on Twitter and Instagram (https://www.instagram.com/classroomflex/?hl=en) The Modern Classroom Project (https://www.modernclassrooms.org) Modern Classrooms Online Course (https://learn.modernclassrooms.org) Take our free online course, or sign up for our mentorship program to receive personalized guidance from a Modern Classrooms mentor as you implement your own modern classroom! The Modern Classrooms Podcast is edited by Zach Diamond: @zpdiamond (https://twitter.com/zpdiamond) on Twitter and Learning to Teach (https://www.learningtoteach.co/) Special Guest: Hui Couch.

summary In this episode of the AI for Sales podcast, host Chad Burmeister speaks with Ghazenfer Mansoor, CEO of Technology Rivers, about the intersection of AI and healthcare technology. They discuss the importance of user experience in app development, the role of AI in streamlining software processes, and the misconceptions surrounding AI's capabilities. Ghazenfer shares insights from his book 'Beyond the Download' and emphasizes the need for a human touch in technology. The conversation also touches on emerging AI technologies, ethical considerations, and essential skills for leveraging AI effectively. Takeaways The focus should be on user experience, not just downloads. Optimizing for customer experience leads to profit. AI is not a replacement for humans but an augmentation. AI can significantly reduce software development time. Misconceptions about AI include it being a one-click solution. Human context is essential for AI to provide accurate results. Emerging technologies like MCP and agentic AI are game-changers. Ethics in AI requires a governing body to ensure responsibility. Articulation and storytelling are key skills for using AI effectively. AI can assist in various tasks, enhancing productivity. Chapters 00:00 Introduction to AI in Healthcare Technology 02:14 Insights from 'Beyond the Download' 04:58 Customer Experience vs. Profit Motive 07:13 AI's Impact on Software Development 11:15 Misconceptions About AI 15:48 Integrating AI with Human Touch 18:55 Emerging Technologies in AI 23:57 Ethics in AI 25:40 Skills for the AI-Driven Future 31:18 Conclusion and Call to Action The AI for Sales Podcast is brought to you by BDR.ai, Nooks.ai, and ZoomInfo—the go-to-market intelligence platform that accelerates revenue growth. Skip the forms and website hunting—Chad will connect you directly with the right person at any of these companies.

Strategic Technology Consultation Services This episode of The Modern .NET Show is supported, in part, by RJJ Software's Strategic Technology Consultation Services. If you're an SME (Small to Medium Enterprise) leader wondering why your technology investments aren't delivering, or you're facing critical decisions about AI, modernization, or team productivity, let's talk. Show Notes "It's not just guessing. It's not just saying, "oh, there's something to log in. I think we'll call the button login." It actually knows the button is called Login, it's seen it. So that makes a big difference and makes it much more resilient. So that's definitely a big change, right? It's not just guessing. So definitely you should try it out."— Debbie O'Brien Hey everyone, and welcome back to The Modern .NET Show; the premier .NET podcast, focusing entirely on the knowledge, tools, and frameworks that all .NET developers should have in their toolbox. I'm your host Jamie Taylor, bringing you conversations with the brightest minds in the .NET ecosystem. Today, we're joined by Debbie O'Brien to talk about both Playwright and the Playwright MCP server. We started with an introduction to Playwright, and talked about how both it and the MCP server for it can help you to automate both the writing and running of tests for your applications. Pro tip: If you've been using the Swagger UI in your applications, you've been using Open API. "And that's where the Playwright MCP comes In because it can automate a browser, it can basically go to the website, it can navigate, it can click, it can hover, it can do everything that you are doing in your tests."— Debbie O'Brien Along the way, we talked about how Playwright's MCP server can help you to find test cases that you might not have thought of initially. As a perfect example of this while recording this episode, Debbie found a bug in the app that I use to record episodes of the show, and talked about how Playwright MCP would help to recreate and debug the issue. It's worth pointing out that we recorded this in early August 2025, and that AI quite literally moves very rapidly. Whilst Playwright and MCP servers are not likely to change too much between recording the episode an when it went out, it'll be worth bearing that in mind as we talk about some of the AI stuff. Before we jump in, a quick reminder: if The Modern .NET Show has become part of your learning journey, please consider supporting us through Patreon or Buy Me A Coffee. Every contribution helps us continue bringing you these in-depth conversations with industry experts. You'll find all the links in the show notes. Anyway, without further ado, let's sit back, open up a terminal, type in `dotnet new podcast` and we'll dive into the core of Modern .NET. Full Show Notes The full show notes, including links to some of the things we discussed and a full transcription of this episode, can be found at: https://dotnetcore.show/season-8/testing-made-easy-debbie-obrien-explains-playwright-and-its-game-changing-mcp-server Useful Links: Playwright Jamie's "small" open source project Playwright VSCode extension Playwright on GitHub Playwright's tests on GitHub... written with Playwright Debbie's Movies App website GitHub Spark Debbie's website Debbie on LinkedIn Playwright Docs Playwright YouTube Channel playwright Discord Server Supporting the show: Leave a rating or review Buy the show a coffee Become a patron Getting in touch: via the contact page joining the Discord Podcast editing services provided by Matthew Bliss Music created by Mono Memory Music, licensed to RJJ Software for use in The Modern .NET Show Editing and post-production services for this episode were provided by MB Podcast Services Remember to rate and review the show on Apple Podcasts, Podchaser, or wherever you find your podcasts, this will help the show's audience grow. Or you can just share the show with a friend. And don't forget to reach out via our Contact page. We're very interested in your opinion of the show, so please get in touch. You can support the show by making a monthly donation on the show's Patreon page at: https://www.patreon.com/TheDotNetCorePodcast. Music created by Mono Memory Music, licensed to RJJ Software for use in The Modern .NET Show. Editing and post-production services for this episode were provided by MB Podcast Services.

You can reach out and support me at: Patreon: https://www.patreon.com/LexaWhite Discord: ggyppt#1249 (Lexa White on most of the MCP discords) Tumblr: http://ggyppt.tumblr.com If you want to follow Beezer's Content, you can do so at: https://bsky.app/profile/gh-beezer.bsky.social https://youtube.com/@d-padsanddicebags?si=Ah7TYAo3Py6Q81Z2 Intro and Outro Music by Codefreq https://www.youtube.com/channel/UCc8KSSTFLmcls2pQEgCiyDw Logo designed by Rayan Meyer

What if the fastest way to grow your career is to reinvent how you work before the market forces you to? In this episode, I had the pleasure of sitting down with Caitlin Clark-Zigmond, a two-time entrepreneur and former CMO for Intel's global software and SaaS portfolio, to map the leap from hands-on operator to AI-powered brand builder, and why clear value translation beats clever slogans every time.Caitlin takes us from scaling a catering business to shipping Comcast Digital Voice, to leading massive B2B portfolios at Verizon and Intel. We dig into how Intel Tiber emerged to make software visible inside a hardware giant, uniting trust and security, AI and ML, edge and cloud, performance optimization, and developer workflows under a narrative customers could navigate. The result: sharper messaging, analyst clarity, and real pipeline acceleration. If your portfolio feels like a maze, her brand framework shows you how to draw a clean map.Then we get practical with AI go-to-market. Forget tool-chasing—start with painful use cases, build on clean, connected data, and let AI amplify what already moves the needle. Caitlin explains why a CDP or an MCP layer unlocks CRM, marketing automation, analytics, billing, and customer success, enabling them to communicate effectively with each other. We cover intent data for account prioritization, conversation intelligence for coaching, predictive scoring for pipeline, and agents that handle repetitive data pulls and weekly reporting so teams can focus on thinking, not tab-hopping.For leaders and modern marketers, the upskilling path is clear: achieve 30% fluency in core AI concepts, measurement, and understanding how your stack—HubSpot, Salesforce, GA, CDPs, and chat systems —actually works. You don't need to code; you need to understand revenue mechanics. We also share Caitlin's strategic networking system—the 5–5–5 method—that turns coffee chats into an operating system for your career, with value-first follow-ups that work even for introverts.We conclude with candid insights on the value of progress over perfection, investing in relationships before you need them, and redefining success in terms of client transformation, sustainable growth, and work-life integration. Subscribe, share with a friend, and tell us: what's the scary move you're finally ready to make?Resources: Website: www.clarkgp.com  LinkedIn: https://www.linkedin.com/in/caitlinclarkzigmond Upcoming LILive GTM Event: https://www.linkedin.com/events/2026gtmrealitycheck-makemisalig7393722093324107776/Monthly Blog: https://gtmmaven.substack.com/p/why-the-c-suite-must-work-together

As AI revolutionizes how we work, it has created a new attack surface with new technologies. One of those new technologies is Model Context Protocol (MCP). MCP has emerged as the standard for connecting AI to external tools, but its flexibility has created security challenges. How do we secure MCP? Rahul Parwani, Head of Product, Security Solutions at Airia, joins Business Security Weekly to discuss the challenges of MCP and how to secure this new protocol. Rahul will cover how Aria's solutions help you secure your AI development by: Centralizing Access Control Enforcing Security Policies Maintaining Compliance Enabling Rapid Response This segment is sponsored by Airia. Visit https://securityweekly.com/airia to learn more about them! In the leadership and communications segment, CISO Burnout – Epidemic, Endemic, or Simply Inevitable?, If Trust Is So Important, Why Aren't We Measuring It?, Over one-third of companies plan to replace entry roles with AI, survey says, and more! Visit https://www.securityweekly.com/bsw for all the latest episodes! Show Notes: https://securityweekly.com/bsw-421

As AI revolutionizes how we work, it has created a new attack surface with new technologies. One of those new technologies is Model Context Protocol (MCP). MCP has emerged as the standard for connecting AI to external tools, but its flexibility has created security challenges. How do we secure MCP? Rahul Parwani, Head of Product, Security Solutions at Airia, joins Business Security Weekly to discuss the challenges of MCP and how to secure this new protocol. Rahul will cover how Aria's solutions help you secure your AI development by: Centralizing Access Control Enforcing Security Policies Maintaining Compliance Enabling Rapid Response This segment is sponsored by Airia. Visit https://securityweekly.com/airia to learn more about them! In the leadership and communications segment, CISO Burnout – Epidemic, Endemic, or Simply Inevitable?, If Trust Is So Important, Why Aren't We Measuring It?, Over one-third of companies plan to replace entry roles with AI, survey says, and more! Show Notes: https://securityweekly.com/bsw-421

In this episode of Future Finance, Glenn Hopper and Paul Barnhurst sit down with Joe Friedman and Ranga Bodla from Oracle NetSuite to explore how AI is transforming enterprise resource planning (ERP) systems. Amidst rising competition and a rapidly changing tech landscape, NetSuite is doubling down on intelligent automation, open platforms, and embedded AI to redefine how finance teams operate.Joe Friedman is the Senior Director of AI Innovation at Oracle NetSuite, driving efforts to integrate practical AI across finance and operations. With over 15 years at NetSuite, Joe focuses on converting AI into measurable productivity gains. Ranga Bodla is the Vice President of Field Engagement and Marketing at Oracle NetSuite, with more than 20 years in enterprise software. He leads industry strategy across verticals, helping businesses convert innovation into performanceExpect to Learn:Why AI is reinvigorating interest in ERP platforms like NetSuite.How NetSuite's AI strategy balances “AI every day” and “AI your way.”What the MCP connector does and why it's a game-changer for data analysis.How NetSuite's clean data models fuel better AI outcomes and user productivity.Joe Friedman and Ranga Bodla offer a compelling look at how NetSuite is embedding AI into the core of ERP to drive smarter, faster decision-making. Their insights show that clean data, open platforms, and practical AI tools are key to transforming finance operations today.Join hosts Glenn and Paul as they unravel the complexities of AI in finance:Follow Joe:LinkedIn: https://www.linkedin.com/in/friedman-ns/Follow Ranga:LinkedIn: https://www.linkedin.com/in/ranga-bodla-bb45b/Follow Paul: LinkedIn - https://www.linkedin.com/in/thefpandaguyFollow QFlow.AI:Website - https://bit.ly/4i1EkjgFuture Finance is sponsored by QFlow.ai, the strategic finance platform solving the toughest part of planning and analysis: B2B revenue. Align sales, marketing, and finance, speed up decision-making, and lock in accountability with QFlow.ai. Stay tuned for a deeper understanding of how AI is shaping the future of finance and what it means for businesses and individuals alike.In Today's Episode:[02:00] – Where NetSuite Stands in Today's ERP Landscape[05:17] – Why ERP and AI Go Hand-in-Hand[07:29] – AI Every Day, AI Your Way: What NetSuite's MCP Connector Unlocks[10:29] – Practical AI Integration Inside NetSuite[13:30] – Real-World Use Cases for AI in Finance[16:22] – AI Agents, Automation, and What's Coming Next[18:05] – SaaS as the Real Driver of AI Adoption[19:48] – Why Clean Data Fuels Better AI Outcomes[21:12] – Closing Thoughts

As AI revolutionizes how we work, it has created a new attack surface with new technologies. One of those new technologies is Model Context Protocol (MCP). MCP has emerged as the standard for connecting AI to external tools, but its flexibility has created security challenges. How do we secure MCP? Rahul Parwani, Head of Product, Security Solutions at Airia, joins Business Security Weekly to discuss the challenges of MCP and how to secure this new protocol. Rahul will cover how Aria's solutions help you secure your AI development by: Centralizing Access Control Enforcing Security Policies Maintaining Compliance Enabling Rapid Response This segment is sponsored by Airia. Visit https://securityweekly.com/airia to learn more about them! In the leadership and communications segment, CISO Burnout – Epidemic, Endemic, or Simply Inevitable?, If Trust Is So Important, Why Aren't We Measuring It?, Over one-third of companies plan to replace entry roles with AI, survey says, and more! Visit https://www.securityweekly.com/bsw for all the latest episodes! Show Notes: https://securityweekly.com/bsw-421

As AI revolutionizes how we work, it has created a new attack surface with new technologies. One of those new technologies is Model Context Protocol (MCP). MCP has emerged as the standard for connecting AI to external tools, but its flexibility has created security challenges. How do we secure MCP? Rahul Parwani, Head of Product, Security Solutions at Airia, joins Business Security Weekly to discuss the challenges of MCP and how to secure this new protocol. Rahul will cover how Aria's solutions help you secure your AI development by: Centralizing Access Control Enforcing Security Policies Maintaining Compliance Enabling Rapid Response This segment is sponsored by Airia. Visit https://securityweekly.com/airia to learn more about them! In the leadership and communications segment, CISO Burnout – Epidemic, Endemic, or Simply Inevitable?, If Trust Is So Important, Why Aren't We Measuring It?, Over one-third of companies plan to replace entry roles with AI, survey says, and more! Show Notes: https://securityweekly.com/bsw-421

Are we underestimating how the agentic world is impacting cybersecurity? We spoke to Mohan Kumar, who did production security at Box for a deep dive into the threats of true autonomous AI agents.The conversation moves beyond simple LLM applications (like chatbots) to the new world of dynamic, goal-driven agents that can take autonomous actions. Mohan took us through why this shift introduces a new class of threats we aren't prepared for, such as agents developing new, unmonitorable communication methods ("Jibber-link" mode).Mohan shared his top three security threats for AI agents in production:Memory Poisoning: How an agent's trusted memory (long-term, short-term, or entity memory) can be corrupted via indirect prompt injection, altering its core decisions.Tool Misuse: The risk of agents connecting to rogue tools or MCP servers, or having their legitimate tools (like a calendar) exploited for data exfiltration.Privilege Compromise: The critical need to enforce least-privilege on agents that can shift roles and identities, often through misconfiguration.Guest Socials -⁠ ⁠⁠⁠⁠⁠⁠⁠⁠Mohan's LinkedinPodcast 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 ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you are interested in AI Cybersecurity, you can check out our sister podcast -⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ AI Security Podcast⁠Questions asked:(00:00) Introduction(01:30) Who is Mohan Kumar? (Production Security at Box)(03:30) LLM Application vs. AI Agent: What's the Difference?(06:50) "We are totally underestimating" AI agent threats(07:45) Software 3.0: When Prompts Become the New Software(08:20) The "Jibber-link" Threat: Agents Ditching Human Language(10:45) The Top 3 AI Agent Security Threats(11:10) Threat 1: Memory Poisoning & Context Manipulation(14:00) Threat 2: Tool Misuse (e.g., exploiting a calendar tool)(16:50) Threat 3: Privilege Compromise (Least Privilege for Agents)(18:20) How Do You Monitor & Audit Autonomous Agents?(20:30) The Need for "Observer" Agents(24:45) The 6 Components of an AI Agent Architecture(27:00) Threat Modeling: Using CSA's MAESTRO Framework(31:20) Are Leaks Only from Open Source Models or Closed (OpenAI, Claude) Too?(34:10) The "Grandma Trick": Any Model is Susceptible(38:15) Where is AI Agent Security Evolving? (Orchestration, Data, Interface)(42:00) Fun Questions: Hacking MCPs, Skydiving & Risk, BiryaniResources mentioned during the episode:Mohan's Udemy Course -AI Security Bootcamp: LLM Hacking Basics Andre Karpathy's "Software 3.0" Concept "Jibber-link Mode" VideoCrewAI FrameworkOWASP Top 10 for LLM Applications Cloud Security Alliance (CSA) MAESTRO Framework

Ever fall in love with a movie's world while side-eyeing its logic? That's the neon paradox of Tron. We dive straight into how Steven Lisberger's Pong epiphany became a Disney gamble that pushed live action, backlit animation, and early CGI into a single, striking language—and why that language still speaks to us. From Moebius-inspired suits to hand-processed frames and vendor tag-teams like MAGI and Triple-I, we unpack the painstaking craft that birthed a timeless visual grammar of grids, glow, and velocity.We also confront the chewy stuff: a digitization beam that turns users into avatars, identity discs that are both passports and plot holes, and an MCP that behaves like a walled-garden overlord long before big tech made the term feel familiar. The story inverts expectations—Flynn as creator without control, Tron as titular champion without the spotlight—and lands somewhere between rebellion myth and systems metaphor. It's messy, yes, but the ideas are weirdly prescient: corporate capture of technology, AI consolidation of power, and the uneasy line between play, surveillance, and ownership.Along the way, we trace Disney's state of flux after The Black Hole, the greenlight born of a killer sizzle reel, and the great irony that the Tron arcade cabinet out-earned the film. The Academy may have snubbed the VFX, but the look rewired pop culture's sense of the digital future. We close by asking the big question: why do we keep wanting more Tron? Maybe it's the unspent potential, maybe it's the vibes, maybe it's both. Hit play to join a candid, curious tour through the franchise's origin story, its technical miracles, and the blueprint for a version that finally matches the glow.Enjoyed the ride? Follow, share with a friend who loves neon worlds, and leave a review to help more curious listeners find us.

Today we're digging into the Model Context Protocol, or MCP. Think LSP for AI: build a small Python service once and your tools and data show up across editors and agents like VS Code, Claude Code, and more. My guest, Den Delimarsky from Microsoft, helps build this space and will keep us honest about what's solid versus what's just shiny. We'll keep it practical: transports that actually work, guardrails you can trust, and a tiny server you could ship this week. By the end, you'll have a clear mental model and a path to plug Python into the internet of agents. Episode sponsors Sentry AI Monitoring, Code TALKPYTHON NordStellar Talk Python Courses Links from the show Den Delimarsky: den.dev Agentic AI Programming for Python Course: training.talkpython.fm Model Context Protocol: modelcontextprotocol.io Model Context Protocol Specification (2025-03-26): modelcontextprotocol.io MCP Python Package (PyPI): pypi.org Awesome MCP Servers (punkpeye) GitHub Repo: github.com Visual Studio Code Docs: Copilot MCP Servers: code.visualstudio.com GitHub MCP Server (GitHub repo): github.com GitHub Blog: Meet the GitHub MCP Registry: github.blog MultiViewer App: multiviewer.app GitHub Blog: Spec-driven development with AI (open source toolkit): github.blog Model Context Protocol Registry (GitHub): github.com mcp (GitHub organization): github.com Tailscale: tailscale.com Watch this episode on YouTube: youtube.com Episode #527 deep-dive: talkpython.fm/527 Episode transcripts: talkpython.fm Theme Song: Developer Rap

This Listing Bits episode is now available on your favorite podcast player! Overview Greg Robertson sits down with industry veteran Amy Gorce of REdistribute to clarify what REdistribute actually does, how it differs from display-focused data platforms, and why MLSs should care about the exploding gray-market use of MLS data. Amy breaks down the institutional-buyer use cases, explains how gray-market pipelines emerged, and outlines why MLS participation directly impacts valuation accuracy, AVMs, risk modeling, and overall market health. Key Takeaways  • REdistribute is not a display vendor. Their data is used solely for institutional-grade analytics, AVMs, risk modeling, and portfolio management—never for consumer-facing listing display.    • Owned by MLSs, built for MLSs. The operating agreement limits eligible purchasers and prevents MLSs or brokers from using the data for competitive display products.    • The gray market is real and accelerating. Companies scrape, partner with brokers, or purchase unclear data sources to fuel AVMs and risk tools—often without MLS compensation. REdistribute is actively converting gray-market users.    • AI is making the problem bigger. Scraping tools, automated ingestion, and LLM training pipelines are proliferating. REdistribute is building an MCP server to support AI-specific use cases in a controlled and compliant way.    • Coverage, not demand, is the bottleneck. Institutional buyers are ready, but MLS participation is still below critical mass (~55–60% coverage). More MLSs joining closes the gap and increases revenue potential.    • Economics vary by use case. AVM licensing generates significantly higher value than simple match-and-append use cases—creating real opportunities for meaningful revenue distribution back to MLSs and brokers.    • Joining is simple. MLSs sign a license agreement and can be onboarded in roughly two weeks, with quarterly revenue distributions.   Links  • The Market Value of Listing Data—and the Cost of the Grey Market - White Paper Contact Amy Gorce Allison Duggins Sponsors Trackxi - Real Estate's #1 Deal Tracking Software Giant Steps Job Board – Where ORE gets hired Production and editing services by: Sunbound Studios  

Strategic Technology Consultation Services This episode of The Modern .NET Show is supported, in part, by RJJ Software's Strategic Technology Consultation Services. If you're an SME (Small to Medium Enterprise) leader wondering why your technology investments aren't delivering, or you're facing critical decisions about AI, modernization, or team productivity, let's talk. Show Notes "And we talk about that contract. We say, "this is your contract. This Open API definition that you have is the contract for your service." And in the end, that's how customers interact with Azure is through APIs. And so it's important to have that contract so that customers know how things work, how to use them, hopefully how to use them easily, right?"— Mike Kistler Hey everyone, and welcome back to The Modern .NET Show; the premier .NET podcast, focusing entirely on the knowledge, tools, and frameworks that all .NET developers should have in their toolbox. I'm your host Jamie Taylor, bringing you conversations with the brightest minds in the .NET ecosystem. Today, we're joined by Mike Kistler to talk about two topics (we usually only tackle one topic per episode, so you're getting a bonus with this episode): Open API and both MCP and the MCP SDK for C#. We started our conversation by focussing on Open API, as this is a passion of Mike's. We talked about what it is, how you've likely already been using it with any ASP .NET Core WebAPIs that you've worked on, and how the latest versions of ASP .NET Core can generate a lot of the Open API specification for you without having to add lots and lots of metadata an attributes. Pro tip: If you've been using the Swagger UI in your applications, you've been using Open API. "And when the LLM decides that it wants to use an MCP tool or access an MCP resource, it doesn't go and do that directly. It comes back to the MCP host and asks the MCP host to call a tool with a particular set of parameters, or to access an MCP resource. And at first, when I saw this in the MCP architecture, I thought, "boy, that's clunky. Why not have the LLM just call these things directly?" And there's a deliberate reason why it was done this way."— Mike Kistler We then pivoted over to talking about MCP (or Model Context Protocol) which is a rapidly evolving standard for creating your own agents and applications which can communicate with or be instructed by, LLMs. We talked about how the MCP standard works, and how the standard is written in such a way that there's always a human in the loop. We also talked about how you can build your own MCP servers using the MCP SDK for C#. It's worth pointing out that both MCP and Open API are evolving standards. While Open API tends to evolve with a much more relaxed pace, the MCP standard (having not even reached a year old when we recorded) uses the date as it's version number. And Mike actually references the latest version of the MCP spec in our conversation, which will give you a clue as to when we recorded it. Before we jump in, a quick reminder: if The Modern .NET Show has become part of your learning journey, please consider supporting us through Patreon or Buy Me A Coffee. Every contribution helps us continue bringing you these in-depth conversations with industry experts. You'll find all the links in the show notes. Anyway, without further ado, let's sit back, open up a terminal, type in `dotnet new podcast` and we'll dive into the core of Modern .NET. Full Show Notes The full show notes, including links to some of the things we discussed and a full transcription of this episode, can be found at: https://dotnetcore.show/season-8/building-the-future-of-apis-mike-kistlers-insights-on-openapi-and-mcp Useful Links: OpenAPI API Blueprint RAML ProducesResponseType attribute Minimal API TypedResults S07E16 - From Code to Cloud in 15 Minutes: Jason Taylor's Expert Insights And The Clean Architecture Template GitHub MCP Server MCP Transports MCP C# SDK Current version of the MCP spec as of the date of recording (aka version 2025-06-18) Microsoft MCP Servers List Mike on LinkedIn .NET Community Standup Supporting the show: Leave a rating or review Buy the show a coffee Become a patron Getting in Touch: Via the contact page Joining the Discord Remember to rate and review the show on Apple Podcasts, Podchaser, or wherever you find your podcasts, this will help the show's audience grow. Or you can just share the show with a friend. And don't forget to reach out via our Contact page. We're very interested in your opinion of the show, so please get in touch. You can support the show by making a monthly donation on the show's Patreon page at: https://www.patreon.com/TheDotNetCorePodcast. Music created by Mono Memory Music, licensed to RJJ Software for use in The Modern .NET Show. Editing and post-production services for this episode were provided by MB Podcast Services.

This week on Byte-Sized Insight, we dive into one of crypto's hottest conversations: the rise of AI-powered trading models and why specialized tools are outperforming general-purpose AIs like ChatGPT in simulated trading challenges.Beyond the headlines, we break down what investors should know before trusting bots with their capital. We speak with Brett Singer of Glassnode and Nodari Kolmakhidze of Stoic.AI/Cindicator, two experts working directly with the data and models driving today's AI trading systems.(1:34)  Why AI trading is everywhere & key questions for investors(2:40) How funds use AI to build quantitative trading strategies(4:18) Real-time on-chain data querying with MCP server(5:55) AI bots as portfolio managers & why most fail to beat the market(7:27) Specialized vs. general-purpose AI traders in crypto(7:58) Specialized trading AIs outperform because markets are complex(9:18) AI bots aren't money printers(11:01) Reality check: Backtests vs. real markets and execution limits (12:58) Why AI still needs human judgment and transparencyThis episode was hosted and produced by Savannah Fortis, @savannah_fortis.Follow Cointelegraph on X @Cointelegraph.Check out Cointelegraph at cointelegraph.com.If you like what you heard, rate us and leave a review!The views, thoughts and opinions expressed in this podcast are its participants alone and do not necessarily reflect or represent the views and opinions of Cointelegraph. This podcast (and any related content) is for entertainment purposes only and does not constitute financial advice, nor should it be taken as such. Everyone must do their own research and make their own decisions. The podcast's participants may or may not own any of the assets mentioned.

BlueRock is building an agentic security fabric to protect organizations deploying AI agents and MCP workflows. With a $25 Million Series A, founder Bob Tinker is tackling what he sees as a 10x larger opportunity than mobile's enterprise disruption. Bob previously scaled MobileIron from zero to $150 million in five years and took it public in 2014. In this episode of Category Visionaries, Bob shares the strategic mistakes that cost MobileIron its category positioning, why go-to-market fit is the missing framework between PMF and scale, and how B2B marketing has fundamentally transformed in just 18 months. Topics Discussed: Taking a company public: the killer marketing event versus the unexpected team psychology challenges of daily stock volatility Why agentic AI workflows create unprecedented security challenges at the action and data layer, not just prompts The strategic timing of category definition: MobileIron's cautionary tale of letting Gartner define you as "MDM" when customers bought for security Where enterprise buyers actually get advice now that Gartner's influence has diminished AEO (Answer Engine Optimization) replacing SEO as the primary discovery mechanism for B2B solutions Why 1.0 categories have fundamentally unclear ICPs versus 2.0/3.0 products with crisp buyer personas The "high urgency, low friction" framework for prioritizing what to build in nascent markets Go-to-market fit: the repeatable growth recipe that unlocks scaling post-PMF Unlearning as competitive advantage for second-time founders GTM Lessons For B2B Founders: Time your category noun definition strategically: MobileIron focused exclusively on solving the problem (the verb) but waited too long to influence category nomenclature. Gartner labeled it "Mobile Device Management" when customer purchase drivers were security-focused, not management. This misalignment constrained positioning for years with no way to correct it. The framework: lead with verb, but proactively shape the noun before external analysts do it for you. Bob's doing this differently at BlueRock by distinguishing "agentic action security" from "prompt security" early, even while the broader market sorts out AI security taxonomy. Use customer language as category discovery, not invention: Bob's breakthrough on BlueRock positioning came from asking prospects: "How would you describe what we do to your peers?" One prospect distinguished their focus on "the action side - taking AI and taking action on data and tools" versus prompt inspection and AI firewalls. This customer-generated framing revealed the natural fault lines in how practitioners think about the problem space. The tactical application: run this exact question with your first 10-15 qualified prospects and pattern-match their language, rather than workshopping category names internally. Engineer for the "high urgency, low friction" intersection: Bob's filtering criteria for BlueRock's roadmap requires both dimensions simultaneously. When a prospect revealed they were building their own MCP security tools - a signal of acute, unmet pain - they also asked BlueRock to add prompt security features. Bob's framework forced a "no" despite clear demand because it would violate low friction. The discipline: if a feature request fails either test (not urgent enough OR too much friction), it doesn't make the cut, even when prospects explicitly ask for it. Accept ICP ambiguity as a feature, not bug, of 1.0 markets: In 2.0/3.0 categories, you can target "VP of Detection & Response" with precision. In 1.0 markets like agentic security, Bob finds buyers across three distinct orgs: agentic development teams building secure-by-default systems, product security teams inside engineering (not under the CISO), and traditional security organizations. His thesis: this lack of crisp ICP definition is actually a reliable signal you're in a genuinely new market. The response: invest in community engagement across all three buyer types rather than forcing premature segmentation. Shift content strategy from SEO to AEO immediately: Bob identifies the clock speed of marketing change as "breathtaking" - what worked 18 months ago is obsolete. The specific shift: ranking above the fold in Google search is now irrelevant. What matters is appearing in the answer box that ChatGPT or Google Gemini surfaces above traditional results. This isn't incremental SEO optimization - it requires fundamentally restructuring content to feed LLM context windows and answer engines rather than keyword-optimizing for traditional search crawlers. Treat go-to-market fit as a distinct inflection point: Bob observed a consistent pattern across MobileIron, Box (Aaron Levie), Citrix (Mark Templeton), Palo Alto Networks (Mark McLaughlin), and SendGrid (Sameer Dholakia) - all hit PMF, hired salespeople aggressively, burned cash, and stalled growth while boards grew frustrated. The missing concept: PMF proves you can create value; GTM fit proves you can capture it repeatedly. It's the "repeatable growth recipe to find and win customers over and over again." The tactical implication: after PMF, resist pressure to scale headcount and instead obsess over making your first 3-5 sales cycles systematically repeatable before hiring your second AE. Build community as primary discovery in fragmented buyer markets: Bob's most different GTM motion versus five years ago: "We're just out talking to prospects and customers - individual reach outs, hitting people up on LinkedIn, posting in discussion boards, engaging with the community." This isn't supplemental to demand gen; it's replaced traditional top-of-funnel. When prospects exist across multiple personas without clear titles, community presence in Reddit, Stack Overflow, and LinkedIn becomes the only scalable discovery mechanism. The benchmark: successful new tech companies have built communities of early users before they've built repeatable sales motions. Practice systematic unlearning as second-time founder discipline: Bob's most personal insight: "What really got in my way wasn't what I needed to learn. It was what I needed to unlearn." The specific application: he's questioning his entire MobileIron marketing playbook because "blindly applying that eight-year-old playbook to marketing or sales will end in tears." His framework: periodic gut checks asking "What assumptions am I making? How should I think about this differently?" rather than letting inertia drive execution. The meta-lesson: success creates muscle memory that becomes liability without deliberate examination. Second-time founders should actively audit which reflexes to preserve versus discard. // Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role.  Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

In this insightful episode, explore why everyone is becoming an AI operator and why mastering prompt engineering is the key differentiator in the modern workforce. Learn how to effectively communicate with AI to get the results you want—a skill that takes just 10 minutes of proper setup versus 50 minutes of back-and-forth fixes. The conversation also delves into global marketing challenges across different cultures and geographical regions, examining real examples from Sweden to the UK to show how cultural nuances still matter despite the supposed cultural flattening from media. A major part of this discussion focuses on demystifying "revolutionary" technology buzzwords. Discover how cloud computing, APIs, and AI integration aren't actually new—they're just rebranded existing concepts with fancy names. From AWS RDS being just hosted MySQL to MCP being REST API calls, learn to see through the marketing terminology and recognize the simplicity beneath. The episode concludes with thought-provoking discussions about AI's potential for real-world task automation, existential risks, and why treating AI like a good team member with proper context and instructions leads to superior results. Perfect for: Content creators, social media managers, and anyone looking to understand modern technology without the jargon. Try Vista Social for FREE today Book a Demo Follow us on Instagram Follow us on LinkedIn Follow us on Youtube

In this episode of Future Finance, hosts Paul Barnhurst and Glenn Hopper sit down with NetSuite's Joe Friedman and Ranga Bodla to explore how AI is transforming enterprise resource planning (ERP) systems. With decades of combined experience in enterprise software, Joe and Ranga discuss how NetSuite is innovating ERP through AI-native capabilities, open platforms, and real-time automation. The conversation spans AI agent adoption, data clarity, and how finance teams can start harnessing AI today without major overhauls.Joe Friedman is the Senior Director of AI Innovation at Oracle NetSuite, driving efforts to integrate practical AI across finance and operations. With over 15 years at NetSuite, Joe focuses on converting AI into measurable productivity gains. Ranga Bodla is the Vice President of Field Engagement and Marketing at Oracle NetSuite, with more than 20 years in enterprise software. He leads industry strategy across verticals, helping businesses convert innovation into performance.In this episode, you will discover:Why NetSuite believes ERP is the core of AI transformation in financeHow the new MCP connector integrates AI agents like Claude and ChatGPTPractical AI use cases: from variance analysis to journal entry creationWhy clean ERP data is essential for effective AI outcomesHow companies can start AI initiatives without high risk or costJoe Friedman and Ranga Bodla offer a compelling look at how NetSuite is leading the charge in making AI practical and accessible within ERP systems. Their insights show that businesses don't need massive overhauls to start seeing value from AI, just clean data and the right tools. As ERP evolves, NetSuite's hybrid approach positions it to stay ahead. This episode is a must-listen for anyone navigating the intersection of finance, tech, and AI. Join hosts Glenn and Paul as they unravel the complexities of AI in finance:Follow Joe:LinkedIn: https://www.linkedin.com/in/friedman-ns/Follow Ranga:LinkedIn: https://www.linkedin.com/in/ranga-bodla-bb45b/Follow Glenn:LinkedIn: https://www.linkedin.com/in/gbhopperiiiFollow Paul:LinkedIn - https://www.linkedin.com/in/thefpandaguyFollow QFlow.AI:Website - https://bit.ly/4i1EkjgFuture Finance is sponsored by QFlow.ai, the strategic finance platform solving the toughest part of planning and analysis: B2B revenue. Align sales, marketing, and finance, speed up decision-making, and lock in accountability with QFlow.ai. Stay tuned for a deeper understanding of how AI is shaping the future of finance and what it means for businesses and individuals alike.In Today's Episode:[04:15] - Competing with New ERP Platforms[09:42] - What is MCP & AI Everyday?[13:47] - AI Use in...

This week's guests are Ani and Henry, co-founders of Smithery. Smithery is building the marketplace and runtime for MCP, making it easier for developers to distribute, discover, and monetize tools in the emerging agent ecosystem.  Smithery provides a platform to connect your repo, integrate with CI/CD, and handle hosting for servers seamlessly. MCP shines when agents become more general, but it only scales if demand grows for more connections between tools and systems. Drawing from their experiences at Browserbase, Whatnot, and prior AI startups, Ani and Henry saw the need for standardization across the agent stack and set out to build the distribution and trust layer for MCP. We cover what early traction they're seeing from developers, how they're approaching payments and identity to reduce configuration friction, and what the broader shift toward open, composable AI infrastructure means for the future of agents. Episode chapters: 1:51 — Getting into AI 5:30 — The Origin of Smithery 7:40 — Building the Supply Side 9:10 — Why Smithery Is the Easiest Way to Discover MCPs 13:30 — Agent Authentication and Identity 17:08 — The Most Popular MCPs 19:50 — MCP and the Principle of Separation of Concerns 22:50 — How AI Is Being Used Today 25:57 — Defining Success as Founders 31:45 — Quire Fire RoundThis episode is brought to you by Grata, the world's leading deal sourcing platform. Our AI-powered search, investment-grade data, and intuitive workflows give you the edge needed to find and win deals in your industry. Visit grata.com to schedule a demo today.Fresh out of Y Combinator's Summer batch, Overlap is an AI-driven app that uses LLMs to curate the best moments from podcast episodes. Imagine having a smart assistant who reads through every podcast transcript, finds the best parts or parts most relevant to your search, and strings them together to form a new curated stream of content - that is what Overlap does. Podcasts are an exponentially growing source of unique information. Make use of it! Check out Overlap 2.0 on the App Store today.

In this Technology Reseller News podcast, Publisher Doug Green interviews David Klebanov, VP of Partner Solutions at Alkira, about the company's two major announcements — the launch of MCP Server and NIA Copilot — both designed to bring AI integration and natural language interaction to network automation and infrastructure management. Alkira, known for pioneering Network Infrastructure as a Service (NIaaS), delivers global connectivity and security entirely through cloud software. The company's latest innovations mark a significant step forward in bridging AI applications and network intelligence. The first announcement, MCP Server (Model Context Protocol Server), standardizes communication between AI applications and infrastructure systems. “MCP acts as a highway between AI and the network,” said Klebanov. “It allows AI models to access telemetry and configuration data in a consistent way, enabling smarter automation, faster response, and more intelligent decision-making.” This new capability complements Alkira's existing automation tools, such as REST APIs and Terraform. MCP provides a third option specifically for AI and agentic environments, allowing developers and DevOps teams to choose the right tool for their workflow — whether they're building in traditional, cloud-native, or AI-powered contexts. The second announcement, NIA (Network Infrastructure Assistant) Copilot, applies the same AI-driven intelligence directly to the network engineer's workflow. Integrated into the Alkira portal, NIA allows administrators to interact with their network using natural human language instead of complex code or command-line interfaces. Engineers can simply ask questions, issue commands, or retrieve data in conversational form — “like talking to ChatGPT, but for your network,” Klebanov explained. Both MCP and NIA are designed to work together: MCP connects AI applications to infrastructure externally, while NIA empowers network teams internally. Together, they deliver real-world value by making complex infrastructure management simpler, faster, and more intelligent. Klebanov emphasized that these tools also open new opportunities for the MSP and channel partner community, noting that Alkira is a 100% channel-focused organization. “AI is front and center for enterprises, and our partners now have a way to deliver real, AI-friendly network solutions — not just theory, but technology that provides immediate value.” Learn more about Alkira's AI-powered network solutions at alkira.com.

This episode of The Broadband Bunch was recorded live at Calix ConneXions 2025, where host Pete Pizzutillo sat down with Bob Carrick, Director of Global Strategy at Calix Cloud. In this conversation, Bob walks through Calix's cloud evolution—from its early managed Wi-Fi roots to today's full-scale broadband platform that integrates Operations, Service, and Engagement Clouds. He shares how Calix's latest innovations in AI and cloud migration to Google are redefining customer experience, network efficiency, and operational visibility for broadband providers. Together, Pete and Bob unpack the challenges and opportunities of adopting AI in telecom—from eliminating data silos to building trust through human-in-the-loop models and agent-to-agent automation. They explore the role of industry standards (like TR-369 and MCP) in enabling interoperability, and how these frameworks will shape the next wave of AI-driven transformation across the broadband ecosystem. Bob also discusses customer success stories, the importance of education and adoption, and how Calix is helping ISPs increase profitability, reduce truck rolls, and prepare for future M&A opportunities.

This week SUSE's SLES and Red Hat's RHEL are embracing AI in the form of MCP and CUDA support. FFMPEG scores a $100k donation, Pop_OS and Cosmic finally have a release data, and Unity is in need of help. Kodi 22 has an Alpha, Debian has a Systemd dustup, and Krita has landed HDR support. And there's a port of Linux to WASM, so you can run the kern in your browser. Handy! For tips we have doxx for opening .docx in the terminal, a primer on absolute vs relative paths, whoami for grabbing the current username, and btrfs's scrub command for checking the local disk. You can find the show notes at https://bit.ly/4ovhsLG and have a great week! Host: Jonathan Bennett Co-Hosts: Rob Campbell, Jeff Massie, and Ken McDonald Download or subscribe to Untitled Linux Show at https://twit.tv/shows/untitled-linux-show Want access to the ad-free video and exclusive features? Become a member of Club TWiT today! https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.

This week SUSE's SLES and Red Hat's RHEL are embracing AI in the form of MCP and CUDA support. FFMPEG scores a $100k donation, Pop_OS and Cosmic finally have a release data, and Unity is in need of help. Kodi 22 has an Alpha, Debian has a Systemd dustup, and Krita has landed HDR support. And there's a port of Linux to WASM, so you can run the kern in your browser. Handy! For tips we have doxx for opening .docx in the terminal, a primer on absolute vs relative paths, whoami for grabbing the current username, and btrfs's scrub command for checking the local disk. You can find the show notes at https://bit.ly/4ovhsLG and have a great week! Host: Jonathan Bennett Co-Hosts: Rob Campbell, Jeff Massie, and Ken McDonald Download or subscribe to Untitled Linux Show at https://twit.tv/shows/untitled-linux-show Want access to the ad-free video and exclusive features? Become a member of Club TWiT today! https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.

Zach is joined by Laura Campbell to talk about how she implements the MCP model in her elementary math class, and how it brings balance and sustainability to the teaching profession Show Notes Eureka Math (https://greatminds.org/math/eurekamath) Laura's tracker (https://drive.google.com/file/d/1jsSBmD64oYWf2ITeUn81Hh6dxMYvjz7e/view) Connect with Laura by email at laura.campbell@modernclassrooms.org (mailto:laura.campbell@modernclassrooms.org) Contact us, follow us online, and learn more: Email us questions and feedback at: podcast@modernclassrooms.org (mailto:podcast@modernclassrooms.org) Listen to this podcast on Youtube (https://www.youtube.com/playlist?list=PL1SQEZ54ptj1ZQ3bV5tEcULSyPttnifZV) Modern Classrooms: @modernclassproj (https://twitter.com/modernclassproj) on Twitter and facebook.com/modernclassproj (https://www.facebook.com/modernclassproj) Kareem: @kareemfarah23 (https://twitter.com/kareemfarah23) on Twitter Toni Rose: @classroomflex (https://twitter.com/classroomflex) on Twitter and Instagram (https://www.instagram.com/classroomflex/?hl=en) The Modern Classroom Project (https://www.modernclassrooms.org) Modern Classrooms Online Course (https://learn.modernclassrooms.org) Take our free online course, or sign up for our mentorship program to receive personalized guidance from a Modern Classrooms mentor as you implement your own modern classroom! The Modern Classrooms Podcast is edited by Zach Diamond: @zpdiamond (https://twitter.com/zpdiamond) on Twitter and Learning to Teach (https://www.learningtoteach.co/) Special Guest: Laura Campbell.

For this year's Halloween Horror story, the MCP proudly presents A Party for Chancy.

Join Simtheory to experience MCPs: https://simtheory.ai----00:00 - OpenAI's State of the Union & Why Cursor's Composer Model is a Threat44:26 - Does MCP Need To Die? Our Thoughts on State of MCP and Why The Client Implementations are the Problem1:07:53 - 1X NEO The Home Robot LOLZ1:28:05 - Greg Brockman, A Sad Song.----Thanks for listening and your continued support. We appreciate you.