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Renegade Thinkers Unite: #2 Podcast for CMOs & B2B Marketers
GenAI now sits inside content workflows, SDR outreach, and competitive intelligence. Marketing teams are seeing real wins and real growing pains, and the open question is where to focus next. To answer that, Drew brings together Kelly Hopping, John McKinney (Cornerstone Licensing), and Brian Hankin (Altium Packaging) to share the AI plays they are running right now and how they're leading the charge. Here's how: In this episode: Kelly shows how AI weaves through content, SDR workflows, web chat, product work, and SEO, plus how OKRs and certifications lift AI fluency across the team. John uses AI agents for competitor tracking, outbound support, and coding, and treats AI as a sparring partner for strategy before it reaches the C suite. Brian runs an AI campaign engine that builds multi-touch programs in minutes and tracks lifts in engagement, qualified leads, proposals, and wins. Plus: How AEO connects to SEO and what needs to shift for LLM-driven discovery How leaders model AI use with internal knowledge bases and cross-functional pilots How to structure AI readiness Where CMOs can start Tune in if you want AI use cases you can put to work now and a clearer view of where to point your team next. For full show notes and transcripts, visit https://renegademarketing.com/podcasts/ To learn more about CMO Huddles, visit https://cmohuddles.com/
Alexandru Voica, Head of Corporate Affairs and Policy at Synthesia, discusses how the world's largest enterprise AI video platform has approached trust and safety from day one. He explains Synthesia's "three C's" framework—consent, control, and collaboration: never creating digital replicas without explicit permission, moderating every video before rendering, and engaging with policymakers to shape practical regulation. Voica acknowledges these safeguards have cost some business, but argues that for enterprise sales, trust is competitively essential. The company's content moderation has evolved from simple keyword detection to sophisticated LLM-based analysis, recently withstanding a rigorous public red team test organized by NIST and Humane Intelligence. Voica criticizes the EU AI Act's approach of regulating how AI systems are built rather than focusing on harmful outcomes, noting that smaller models can now match frontier capabilities while evading compute-threshold regulations. He points to the UK's outcome-focused approach—like criminalizing non-consensual deepfake pornography—as more effective. On adoption, Voica argues that AI companies should submit to rigorous third-party audits using ISO standards rather than publishing philosophical position papers—the thesis of his essay "Audits, Not Essays." The conversation closes personally: growing up in 1990s Romania with rare access to English tutoring, Voica sees AI-powered personalized education as a transformative opportunity to democratize learning. Alexandru Voica is the Head of Corporate Affairs and Policy at Synthesia, the UK's largest generative AI company and the world's leading AI video platform. He has worked in the technology industry for over 15 years, holding public affairs and engineering roles at Meta, NetEase, Ocado, and Arm. Voica holds an MSc in Computer Science from the Sant'Anna School of Advanced Studies and serves as an advisor to MBZUAI, the world's first AI university. Transcript Audits, Not Essays: How to Win Trust for Enterprise AI (Transformer) Synthesia's Content Moderation Systems Withstand Rigorous NIST, Humane Intelligence Red Team Test (Synthesia) Computerspeak Newsletter
We were inundated with new Windows features in 2025, but which ones actually moved the needle? Fortnite isn't just back on iPhone and Android, it's available on Windows 11 on Arm, and it works great! Plus, 2 big mobile wins for Epic Games and some thoughts on the "right" way to roll out AI features.Windows 11 Best Windows 11 updates of 2025, in no particular order... Dark mode improvements to File Explorer Widgets major overhaul with separate widgets and Discovery feed Xbox Full Screen experience - especially good on handhelds, of course, but also any PC you use for gaming with a controller Click to Do (Copilot+ PC only) External fingerprint reader support for Windows Hello ESS -External/USB webcams supported by Windows Studio Effects (Copilot+ PC only) Quick Machine Recovery is the tip of a wave of new foundational features like Admin Protection, Smart App Control (updates), and more that go beyond surface-level look and feel Redesigned Start menu isn't perfect but it's a nice improvement Copilot Vision, though this type of thing may make more sense on phones AI features in Paint, Photos, Notepad, and Snipping Tool Natural language interactions like the agent in Settings, file search, and more (mostly Copilot+ PC only, but you can do this in Copilot as well) Bluetooth LE support for improved audio quality in game chat, voice calls Gaming on Windows 11 on Arm and Snapdragon X: Major steps forward, but the same issue as always Looking ahead to 2026: 26H1, Agentic features that work, potential Windows 12, and AI PCs AI An extensive new interview with Mustafa Suleyman confirms why this guy is special and how confusing it is that Copilot is so disrespected Microsoft Copilot is auto-installing on LG smart TVs and there's no way to remove it GPT-5.2 is OpenAI's answer to Gemini 3 ChatGPT Images is OpenAI's answer to Nano Banana Pro Disney invests $1 billion OpenAI, sues Google Opera Neon is now generally available for $20 per month AI is moving quick as we all know but the bigger issue may be the incessant marketing about features like agents that don't even work now Microsoft is getting pushback on forced Copilot usage, price hikes Google is expanding its use of "experiments" outside of mainstream products with things like NotebookLM, Mixboard, CC, and much more. Maybe this is the better approach: Test separately and then integrate it into existing products Oddly enough, Microsoft does have a Windows AI Lab for this kind of experimentation Many small models vs. one big LLM in the cloud Mobile Fortnite is back in the Google Play Store in the U.S. as Google plays nice Apple loses its contempt appeal, the end of "junk fees" (Apple Tax) is in sight Xbox and gaming Xbox December Update has one big update for the mobile app and one big update for Xbox Wireless Headphones There's a new Xbox Developer Direct coming in January Half-Life 3 may really be happening, but it will be a Steam Machine launch title so it could be a while Tips & picks Tip of the year: De-enshittify Windows 11 App pick of the year: Fortnite RunAs Radio this week: Zero Trust in 2026 with Michele Bustamante Brown liquor pick of the week: Lark Symphony No. 1 These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/963 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: auraframes.com/ink framer.com/design promo code WW outsystems.com/twit cachefly.com/twit
We were inundated with new Windows features in 2025, but which ones actually moved the needle? Fortnite isn't just back on iPhone and Android, it's available on Windows 11 on Arm, and it works great! Plus, 2 big mobile wins for Epic Games and some thoughts on the "right" way to roll out AI features.Windows 11 Best Windows 11 updates of 2025, in no particular order... Dark mode improvements to File Explorer Widgets major overhaul with separate widgets and Discovery feed Xbox Full Screen experience - especially good on handhelds, of course, but also any PC you use for gaming with a controller Click to Do (Copilot+ PC only) External fingerprint reader support for Windows Hello ESS -External/USB webcams supported by Windows Studio Effects (Copilot+ PC only) Quick Machine Recovery is the tip of a wave of new foundational features like Admin Protection, Smart App Control (updates), and more that go beyond surface-level look and feel Redesigned Start menu isn't perfect but it's a nice improvement Copilot Vision, though this type of thing may make more sense on phones AI features in Paint, Photos, Notepad, and Snipping Tool Natural language interactions like the agent in Settings, file search, and more (mostly Copilot+ PC only, but you can do this in Copilot as well) Bluetooth LE support for improved audio quality in game chat, voice calls Gaming on Windows 11 on Arm and Snapdragon X: Major steps forward, but the same issue as always Looking ahead to 2026: 26H1, Agentic features that work, potential Windows 12, and AI PCs AI An extensive new interview with Mustafa Suleyman confirms why this guy is special and how confusing it is that Copilot is so disrespected Microsoft Copilot is auto-installing on LG smart TVs and there's no way to remove it GPT-5.2 is OpenAI's answer to Gemini 3 ChatGPT Images is OpenAI's answer to Nano Banana Pro Disney invests $1 billion OpenAI, sues Google Opera Neon is now generally available for $20 per month AI is moving quick as we all know but the bigger issue may be the incessant marketing about features like agents that don't even work now Microsoft is getting pushback on forced Copilot usage, price hikes Google is expanding its use of "experiments" outside of mainstream products with things like NotebookLM, Mixboard, CC, and much more. Maybe this is the better approach: Test separately and then integrate it into existing products Oddly enough, Microsoft does have a Windows AI Lab for this kind of experimentation Many small models vs. one big LLM in the cloud Mobile Fortnite is back in the Google Play Store in the U.S. as Google plays nice Apple loses its contempt appeal, the end of "junk fees" (Apple Tax) is in sight Xbox and gaming Xbox December Update has one big update for the mobile app and one big update for Xbox Wireless Headphones There's a new Xbox Developer Direct coming in January Half-Life 3 may really be happening, but it will be a Steam Machine launch title so it could be a while Tips & picks Tip of the year: De-enshittify Windows 11 App pick of the year: Fortnite RunAs Radio this week: Zero Trust in 2026 with Michele Bustamante Brown liquor pick of the week: Lark Symphony No. 1 These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/963 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: auraframes.com/ink framer.com/design promo code WW outsystems.com/twit cachefly.com/twit
We were inundated with new Windows features in 2025, but which ones actually moved the needle? Fortnite isn't just back on iPhone and Android, it's available on Windows 11 on Arm, and it works great! Plus, 2 big mobile wins for Epic Games and some thoughts on the "right" way to roll out AI features.Windows 11 Best Windows 11 updates of 2025, in no particular order... Dark mode improvements to File Explorer Widgets major overhaul with separate widgets and Discovery feed Xbox Full Screen experience - especially good on handhelds, of course, but also any PC you use for gaming with a controller Click to Do (Copilot+ PC only) External fingerprint reader support for Windows Hello ESS -External/USB webcams supported by Windows Studio Effects (Copilot+ PC only) Quick Machine Recovery is the tip of a wave of new foundational features like Admin Protection, Smart App Control (updates), and more that go beyond surface-level look and feel Redesigned Start menu isn't perfect but it's a nice improvement Copilot Vision, though this type of thing may make more sense on phones AI features in Paint, Photos, Notepad, and Snipping Tool Natural language interactions like the agent in Settings, file search, and more (mostly Copilot+ PC only, but you can do this in Copilot as well) Bluetooth LE support for improved audio quality in game chat, voice calls Gaming on Windows 11 on Arm and Snapdragon X: Major steps forward, but the same issue as always Looking ahead to 2026: 26H1, Agentic features that work, potential Windows 12, and AI PCs AI An extensive new interview with Mustafa Suleyman confirms why this guy is special and how confusing it is that Copilot is so disrespected Microsoft Copilot is auto-installing on LG smart TVs and there's no way to remove it GPT-5.2 is OpenAI's answer to Gemini 3 ChatGPT Images is OpenAI's answer to Nano Banana Pro Disney invests $1 billion OpenAI, sues Google Opera Neon is now generally available for $20 per month AI is moving quick as we all know but the bigger issue may be the incessant marketing about features like agents that don't even work now Microsoft is getting pushback on forced Copilot usage, price hikes Google is expanding its use of "experiments" outside of mainstream products with things like NotebookLM, Mixboard, CC, and much more. Maybe this is the better approach: Test separately and then integrate it into existing products Oddly enough, Microsoft does have a Windows AI Lab for this kind of experimentation Many small models vs. one big LLM in the cloud Mobile Fortnite is back in the Google Play Store in the U.S. as Google plays nice Apple loses its contempt appeal, the end of "junk fees" (Apple Tax) is in sight Xbox and gaming Xbox December Update has one big update for the mobile app and one big update for Xbox Wireless Headphones There's a new Xbox Developer Direct coming in January Half-Life 3 may really be happening, but it will be a Steam Machine launch title so it could be a while Tips & picks Tip of the year: De-enshittify Windows 11 App pick of the year: Fortnite RunAs Radio this week: Zero Trust in 2026 with Michele Bustamante Brown liquor pick of the week: Lark Symphony No. 1 These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/963 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: auraframes.com/ink framer.com/design promo code WW outsystems.com/twit cachefly.com/twit
In this 5 Insightful Minutes episode, David Dorf, Head of Retail Industry Solutions at AWS, joins Omni Talk to cut through the AI hype and reveal what's actually coming for retail in 2026. From LLM limitations to agentic commerce reality checks, David breaks down why domain-specific models are replacing frontier model fantasies, how answer engines will reshape search, and why shopping agents will start with your grocery delivery. If you've ever wondered what AI predictions are worth believing, this episode delivers the clarity you need.
We were inundated with new Windows features in 2025, but which ones actually moved the needle? Fortnite isn't just back on iPhone and Android, it's available on Windows 11 on Arm, and it works great! Plus, 2 big mobile wins for Epic Games and some thoughts on the "right" way to roll out AI features.Windows 11 Best Windows 11 updates of 2025, in no particular order... Dark mode improvements to File Explorer Widgets major overhaul with separate widgets and Discovery feed Xbox Full Screen experience - especially good on handhelds, of course, but also any PC you use for gaming with a controller Click to Do (Copilot+ PC only) External fingerprint reader support for Windows Hello ESS -External/USB webcams supported by Windows Studio Effects (Copilot+ PC only) Quick Machine Recovery is the tip of a wave of new foundational features like Admin Protection, Smart App Control (updates), and more that go beyond surface-level look and feel Redesigned Start menu isn't perfect but it's a nice improvement Copilot Vision, though this type of thing may make more sense on phones AI features in Paint, Photos, Notepad, and Snipping Tool Natural language interactions like the agent in Settings, file search, and more (mostly Copilot+ PC only, but you can do this in Copilot as well) Bluetooth LE support for improved audio quality in game chat, voice calls Gaming on Windows 11 on Arm and Snapdragon X: Major steps forward, but the same issue as always Looking ahead to 2026: 26H1, Agentic features that work, potential Windows 12, and AI PCs AI An extensive new interview with Mustafa Suleyman confirms why this guy is special and how confusing it is that Copilot is so disrespected Microsoft Copilot is auto-installing on LG smart TVs and there's no way to remove it GPT-5.2 is OpenAI's answer to Gemini 3 ChatGPT Images is OpenAI's answer to Nano Banana Pro Disney invests $1 billion OpenAI, sues Google Opera Neon is now generally available for $20 per month AI is moving quick as we all know but the bigger issue may be the incessant marketing about features like agents that don't even work now Microsoft is getting pushback on forced Copilot usage, price hikes Google is expanding its use of "experiments" outside of mainstream products with things like NotebookLM, Mixboard, CC, and much more. Maybe this is the better approach: Test separately and then integrate it into existing products Oddly enough, Microsoft does have a Windows AI Lab for this kind of experimentation Many small models vs. one big LLM in the cloud Mobile Fortnite is back in the Google Play Store in the U.S. as Google plays nice Apple loses its contempt appeal, the end of "junk fees" (Apple Tax) is in sight Xbox and gaming Xbox December Update has one big update for the mobile app and one big update for Xbox Wireless Headphones There's a new Xbox Developer Direct coming in January Half-Life 3 may really be happening, but it will be a Steam Machine launch title so it could be a while Tips & picks Tip of the year: De-enshittify Windows 11 App pick of the year: Fortnite RunAs Radio this week: Zero Trust in 2026 with Michele Bustamante Brown liquor pick of the week: Lark Symphony No. 1 These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/963 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: auraframes.com/ink framer.com/design promo code WW outsystems.com/twit cachefly.com/twit
In this episode of the Microsoft Threat Intelligence Podcast, host Sherrod DeGrippo is joined by security researchers Geoff McDonald and JBO to discuss Whisper Leak, new research showing that encrypted AI traffic can still unintentionally reveal what a user is asking about through patterns in packet size and timing. They explain how LLM token streaming enables this kind of side-channel attack, why even well-encrypted conversations can be classified for sensitive topics, and what this means for privacy, national-level surveillance risks, and secure product design. The conversation also walks through how the study was conducted, what patterns emerged across different AI models, and the steps developers should take to mitigate these risks. In this episode you'll learn: Why packet sizes and timing patterns reveal more information than most users realize How user-experience choices like showing streamed text create a larger attack surface The difference between classic timing attacks and the new risks uncovered in Whisper Leak Resources: View JBO on LinkedIn View Geoff McDonald on LinkedIn View Sherrod DeGrippo on LinkedIn Learn more about Whisper Leak Related Microsoft Podcasts: Afternoon Cyber Tea with Ann Johnson The BlueHat Podcast Uncovering Hidden Risks Discover and follow other Microsoft podcasts at microsoft.com/podcasts Get the latest threat intelligence insights and guidance at Microsoft Security Insider The Microsoft Threat Intelligence Podcast is produced by Microsoft, Hangar Studios and distributed as part of N2K media network.
We were inundated with new Windows features in 2025, but which ones actually moved the needle? Fortnite isn't just back on iPhone and Android, it's available on Windows 11 on Arm, and it works great! Plus, 2 big mobile wins for Epic Games and some thoughts on the "right" way to roll out AI features.Windows 11 Best Windows 11 updates of 2025, in no particular order... Dark mode improvements to File Explorer Widgets major overhaul with separate widgets and Discovery feed Xbox Full Screen experience - especially good on handhelds, of course, but also any PC you use for gaming with a controller Click to Do (Copilot+ PC only) External fingerprint reader support for Windows Hello ESS -External/USB webcams supported by Windows Studio Effects (Copilot+ PC only) Quick Machine Recovery is the tip of a wave of new foundational features like Admin Protection, Smart App Control (updates), and more that go beyond surface-level look and feel Redesigned Start menu isn't perfect but it's a nice improvement Copilot Vision, though this type of thing may make more sense on phones AI features in Paint, Photos, Notepad, and Snipping Tool Natural language interactions like the agent in Settings, file search, and more (mostly Copilot+ PC only, but you can do this in Copilot as well) Bluetooth LE support for improved audio quality in game chat, voice calls Gaming on Windows 11 on Arm and Snapdragon X: Major steps forward, but the same issue as always Looking ahead to 2026: 26H1, Agentic features that work, potential Windows 12, and AI PCs AI An extensive new interview with Mustafa Suleyman confirms why this guy is special and how confusing it is that Copilot is so disrespected Microsoft Copilot is auto-installing on LG smart TVs and there's no way to remove it GPT-5.2 is OpenAI's answer to Gemini 3 ChatGPT Images is OpenAI's answer to Nano Banana Pro Disney invests $1 billion OpenAI, sues Google Opera Neon is now generally available for $20 per month AI is moving quick as we all know but the bigger issue may be the incessant marketing about features like agents that don't even work now Microsoft is getting pushback on forced Copilot usage, price hikes Google is expanding its use of "experiments" outside of mainstream products with things like NotebookLM, Mixboard, CC, and much more. Maybe this is the better approach: Test separately and then integrate it into existing products Oddly enough, Microsoft does have a Windows AI Lab for this kind of experimentation Many small models vs. one big LLM in the cloud Mobile Fortnite is back in the Google Play Store in the U.S. as Google plays nice Apple loses its contempt appeal, the end of "junk fees" (Apple Tax) is in sight Xbox and gaming Xbox December Update has one big update for the mobile app and one big update for Xbox Wireless Headphones There's a new Xbox Developer Direct coming in January Half-Life 3 may really be happening, but it will be a Steam Machine launch title so it could be a while Tips & picks Tip of the year: De-enshittify Windows 11 App pick of the year: Fortnite RunAs Radio this week: Zero Trust in 2026 with Michele Bustamante Brown liquor pick of the week: Lark Symphony No. 1 These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/963 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: auraframes.com/ink framer.com/design promo code WW outsystems.com/twit cachefly.com/twit
The Steam machine will use an older HDMI standard because of arbitrary rules, more details about running X86 Windows games on Arm Linux, and the Steam Controller lives on. Plus Calibre is adding “AI”, and we laugh at another LLM. News Why won't Steam Machine support HDMI 2.1? Digging in on the display standard drama Steam Machine today, Steam Phones tomorrow Remember Google Stadia? Steam finally made its gamepad worth rescuing Talk to your Fedora system with the linux-mcp-server! Calibre adds AI “discussion” feature Because the Calibre ebook library software just acquired AI garbage it has *already* been forked AI and GNOME Shell Extensions Tailscale Tailscale is an easy to deploy, zero-config, no-fuss VPN that allows you to build simple networks across complex infrastructure. Go to tailscale.com/lnl and try Tailscale out for free for up to 100 devices and 3 users, with no credit card required. Use code LATENIGHTLINUX for three free months of any Tailscale paid plan. Support us on patreon and get an ad-free RSS feed with early episodes sometimes See our contact page for ways to get in touch. RSS: Subscribe to the RSS feeds here
Hey CX Nation,In this week's episode of The CXChronicles Podcast #274, we welcomed Dave Rennyson, President & CEO at SuccessKPI based in the Washington, DC area. SuccessKPI is an on-demand insight and action platform that removes the obstacles that agents, managers, and executives encounter in delivering exceptional customer service.SuccessKPI is trusted by some of the world's largest government, BPO, financial, healthcare, and technology contact centers in the United States, Europe, and Latin America.In this episode, Dave and Adrian chat through the Four CX Pillars: Team, Tools, Process & Feedback. Plus share some of the ideas that his team think through on a daily basis to build world class customer experiences.**Episode #274 Highlight Reel:**1. Why the best organizations & teams invest in constant training efforts 2. How music and business are wildly similar 3. Leveraging & investing in AI over the next 1,000 days 4. Understanding the power of your data architecture 5. Tomorrow's leading tech-companies will bring solutions, not headaches Click here to learn more about Dave RennysonClick here to learn more about SuccessKPIHuge thanks to Dave for coming on The CXChronicles Podcast and featuring his work and efforts in pushing the customer experience & contact center space into the future. For all of our Apple & Spotify podcast listener friends, make sure you are following CXC & please leave a 5 star review so we can find new members of the "CX Nation". You know what would be even better?Go tell your friends or teammates about CXC's custom content, strategic partner solutions (Hubspot, Intercom, & Freshworks) & On-Demand services & invite them to join the CX Nation, a community of 15K+ customer focused business leaders!Want to see how your customer experience compares to the world's top-performing customer focused companies? Check out the CXC Healthzone, an intelligence platform that shares benchmarks & insights for how companies across the world are tackling The Four CX Pillars: Team, Tools, Process & Feedback & how they are building an AI-powered foundation for the future. Thanks to all of you for being apart of the "CX Nation" and helping customer focused business leaders across the world make happiness a habit!Reach Out To CXC Today!Support the showContact CXChronicles Today Tweet us @cxchronicles Check out our Instagram @cxchronicles Click here to checkout the CXC website Email us at info@cxchronicles.com Remember To Make Happiness A Habit!!
In this episode of Building Better Foundations, we interview Hunter Jensen, founder and CEO of Barefoot Solutions and Barefoot Labs, to explore what it really takes when getting started with AI in your business. As companies rush toward AI adoption, Hunter offers grounded, practical advice on avoiding early mistakes, protecting your data, and choosing the right starting point. About Hunter Jensen Hunter Jensen is the Founder and CEO of Barefoot Solutions, a digital agency specializing in artificial intelligence, data science, and digital transformation. With over 20 years of experience, Hunter has worked with startups and Fortune 500 companies, including Microsoft and Salesforce, to implement innovative technology strategies that drive measurable ROI. A seasoned leader and expert in the AI space, Hunter helps businesses harness cutting-edge technologies to achieve growth and efficiency. Facebook / Twitter (X) / LinkedIn / Website Why "Just Add AI" Is Not a Strategy When Getting Started with AI in Your Business Hunter begins by addressing the biggest misconception leaders face when getting started with AI in their business: the belief that a single, all-knowing model can absorb everything your business does and instantly deliver insights across every department. "Leaders imagine an all-knowing model. We are nowhere near that being safe or realistic." – Hunter Jensen The core issue is access control. Even the best models cannot safely enforce who should or should not see certain data. If an LLM is trained on HR data, how do you stop it from sharing salary information with an employee who shouldn't see it? This is why getting started with AI in your business must begin with clear boundaries and realistic expectations. Safe First Steps When Getting Started with AI in Your Business As Hunter explains, companies don't need to dive straight into custom models. A safer, simpler path exists for getting started with AI in your business, especially for teams on Microsoft 365 or Google Workspace. Start With Tools Already Built Into Your Environment Hunter recommends two solid, low-risk entry points: Microsoft 365 Copilot Google Gemini for Workspace These platforms provide: Built-in enterprise protections Familiar workflows Safe, contained AI access A gentle learning curve for employees Hunter emphasizes that employees are already using public AI tools, even if policy forbids it. When getting started with AI in your business, providing approved tools is essential to keeping data safe. "If you're not providing safe tools, your team will use unsafe ones." – Hunter Jensen These tools won't solve every AI need, but they are an ideal first step. Choosing the Right Model for Your Needs Another common question when getting started with AI in your business is: Which model is best? ChatGPT? Gemini? Claude? Hunter explains that the landscape changes weekly—sometimes daily. Today's leading model could be irelevent tomorrow. For this reason, businesses should avoid hard commitments to a single model. Experiment Before Committing Hunter suggests opening multiple LLMs side-by-side—such as ChatGPT, Claude, and Perplexity—and testing each for quality and speed. This gives teams a feel for what works before deciding how AI fits into their workflow. This experimentation mindset is essential when getting started with AI in your business because: Different models excel at different tasks Some models are faster or cheaper Some handle long context or code better New releases constantly change the landscape Your AI system should remain flexible enough to shift models as needed. Protecting Your Data from Day One One of Hunter's strongest warnings is about data safety. If you're serious about getting started with AI in your business, you must pay attention to licensing. If you are not paying for AI, you have no control over your data. Some industries—like legal, finance, and healthcare—may need even stricter controls or private deployments. This leads naturally to the next stage of AI adoption. The Next Step After Getting Started with AI in Your Business Once companies understand their needs, the next phase is building an internal system that: Connects securely to business software Honors existing user permissions Keeps all data inside the company network Uses models selected for specific tasks Hunter's product Compass is perfect for this phase. Instead of trusting the model to protect data, you rely on your own systems and access controls. This is how AI becomes truly safe and powerful. "The model should only see what the user is allowed to see—nothing more." – Hunter Jensen Final Thoughts on Getting Started with AI in Your Business Part 1 of our interview with Hunter Jensen makes one thing clear: getting started with AI in your business isn't about chasing the latest model. It's about protecting your data, giving your team safe tools, and preparing for a multi-model future. Stay tuned for Part 2 as we dive deeper into internal AI deployment, advanced architectures, and building long-term AI strategy. Stay Connected: Join the Developreneur Community We invite you to join our community and share your coding journey with us. Whether you're a seasoned developer or just starting, there's always room to learn and grow together. Contact us at info@develpreneur.com with your questions, feedback, or suggestions for future episodes. Together, let's continue exploring the exciting world of software development. Additional Resources Leveraging AI for Business: How Automation and AI Boost Efficiency and Growth Business Automation and Templates: How to Streamline Your Workflow Why Bother With Automated Testing? Building Better Foundations Podcast Videos – With Bonus Content
The Steam machine will use an older HDMI standard because of arbitrary rules, more details about running X86 Windows games on Arm Linux, and the Steam Controller lives on. Plus Calibre is adding “AI”, and we laugh at another LLM. News Why won't Steam Machine support HDMI 2.1? Digging in on the display standard drama Steam Machine today, Steam Phones tomorrow Remember Google Stadia? Steam finally made its gamepad worth rescuing Talk to your Fedora system with the linux-mcp-server! Calibre adds AI “discussion” feature Because the Calibre ebook library software just acquired AI garbage it has *already* been forked AI and GNOME Shell Extensions Tailscale Tailscale is an easy to deploy, zero-config, no-fuss VPN that allows you to build simple networks across complex infrastructure. Go to tailscale.com/lnl and try Tailscale out for free for up to 100 devices and 3 users, with no credit card required. Use code LATENIGHTLINUX for three free months of any Tailscale paid plan. Support us on patreon and get an ad-free RSS feed with early episodes sometimes See our contact page for ways to get in touch. RSS: Subscribe to the RSS feeds here
Tech leaders are pushing the idea that automation can strengthen democracy — but as usual, their bold suggestions are based on castles made of sand. Alex and Emily tear down some flimsy arguments for AI governance, exposing their incorrect assumptions about the democratic process.References:"This Is No Way to Rule a Country""Four ways AI is being used to strengthen democracies worldwide"Also referenced:Collective Intelligence Project surveysInterview with CalMatters CEOFresh AI Hell:Amazon introduces AI translation for Kindle authorsNature op ed recommends AI versions of Einstein, Bohr, and FeynmanAn AI Podcasting Machine Is Churning Out 3,000 Episodes a WeekAI dating café to open in New YorkRecipe slop flooding social mediaAI slop about Autism published in NatureUpwork ad for fixing LLM editorial"Hundreds of Chicago residents sign petition to pause robot delivery pilot program over safety concerns"Check out future streams on Twitch. Meanwhile, send us any AI Hell you see.Our book, 'The AI Con,' is out now! Get your copy now.Subscribe to our newsletter via Buttondown. Follow us!Emily Bluesky: emilymbender.bsky.social Mastodon: dair-community.social/@EmilyMBender Alex Bluesky: alexhanna.bsky.social Mastodon: dair-community.social/@alex Twitter: @alexhanna Music by Toby Menon.Artwork by Naomi Pleasure-Park. Production by Ozzy Llinas Goodman.
In this episode, I sit down with Ben to talk through Shopify's Winter Editions 2025, now that the dust has settled from the initial announcements.Ben walks me through how Shopify approaches AI, both internally and for merchants. Inside the company, everyone has access to an internal LLM proxy and cutting-edge tooling. That same thinking flows out to the platform: help brands show up where customers are, which now includes AI chat interfaces, and make operations faster through better tooling.We spend time on agentic commerce, what it means beyond the buzzword, and why it matters for how people will shop. Ben explains the ideas behind Sidekick's evolution and SimGym, which lets any brand test site changes against Shopify's anonymised consumer dataset before going live.The standout for me is how these features connect. SimGym paired with the new Rollouts feature, which handles scheduling and traffic management, creates something that previously required multiple third-party tools. Ben also flags the POS Hub, Shopify's hardware connectivity layer, as worth watching for anyone thinking about retail.Practical, detailed, and useful if you're building on Shopify or just trying to work out what's worth paying attention to in this release.Checkout Factory here.Sign up to our newsletter here.
About this episode: Attacking health care facilities and providers is becoming a standard strategy of war in places like Colombia, Lebanon, Ukraine, and Gaza, and it is increasingly being perpetrated by state actors. In this episode: Health and human rights lawyer Leonard Rubenstein discusses these disturbing trends, why there's so little accountability for attacks on health care, and what it would take to see meaningful progress. Guests: Leonard Rubenstein, JD, LLM, is a lawyer who has spent his career in health and human rights in armed conflict. He is core faculty of the Johns Hopkins Center for Public Health and Human Rights and the Berman Institute of Bioethics. Host: Dr. Josh Sharfstein is distinguished professor of the practice in Health Policy and Management, a pediatrician, and former secretary of Maryland's Health Department. Show links and related content: How attacking healthcare has become a strategy of war—British Medical Journal Safeguarding Health in Conflict Coalition, 2024 Report Violence Against Health Care in Conflict: 2024 Report—Public Health On Call (June 2025) Transcript information: Looking for episode transcripts? Open our podcast on the Apple Podcasts app (desktop or mobile) or the Spotify mobile app to access an auto-generated transcript of any episode. Closed captioning is also available for every episode on our YouTube channel. Contact us: Have a question about something you heard? Looking for a transcript? Want to suggest a topic or guest? Contact us via email or visit our website. Follow us: @PublicHealthPod on Bluesky @PublicHealthPod on Instagram @JohnsHopkinsSPH on Facebook @PublicHealthOnCall on YouTube Here's our RSS feed Note: These podcasts are a conversation between the participants, and do not represent the position of Johns Hopkins University.
We explore how buying decisions now pivot inside large language models and why e‑commerce brands must earn trust through proof, consistency, and email systems that never sleep. Nikita shares practical frameworks for list growth, deliverability, and flows that convert.• LLM visibility as a new trust signal• Post‑discovery research inside ChatGPT• Rising skepticism and the need for social proof• E‑commerce maturity from hacks to systems• Small brands out‑innovating slower incumbents• Case study of at‑home aligners capturing demand• Building an email list with pop‑ups and content• Essential automations across the customer journey• Deliverability safeguards and sunsetting strategyGuest Contact Information: Website: aspektagency.comInstagram: instagram.com/nikitavakhrushvLinkedIn: linkedin.com/in/nikita-vTwitter/X: x.com/nikitavakhrushvYouTube: youtube.com/NikitaVakhrushevTVMore from EWR and Matthew:Leave us a review wherever you listen: Spotify, Apple Podcasts, or Amazon PodcastFree SEO Consultation: www.ewrdigital.com/discovery-callWith over 5 million downloads, The Best SEO Podcast has been the go-to show for digital marketers, business owners, and entrepreneurs wanting real-world strategies to grow online. Now, host Matthew Bertram — creator of LLM Visibility™ and the LLM Visibility Stack™, and Lead Strategist at EWR Digital — takes the conversation beyond traditional SEO into the AI era of discoverability. Each week, Matthew dives into the tactics, frameworks, and insights that matter most in a world where search engines, large language models, and answer engines are reshaping how people find, trust, and choose businesses. From SEO and AI-driven marketing to executive-level growth strategy, you'll hear expert interviews, deep-dive discussions, and actionable strategies to help you stay ahead of the curve. Find more episodes here: youtube.com/@BestSEOPodcastbestseopodcast.combestseopodcast.buzzsprout.comFollow us on:Facebook: @bestseopodcastInstagram: @thebestseopodcastTiktok: @bestseopodcastLinkedIn: @bestseopodcastConnect With Matthew Bertram: Website: www.matthewbertram.comInstagram: @matt_bertram_liveLinkedIn: @mattbertramlivePowered by: ewrdigital.comSupport the show
In this episode, Charu Navatia, Associate Vice President of Automation at Infinx, walks through the Document Capture AI Agent platform and how it classifies, extracts, and routes high-volume fax and digital documents like orders, authorizations, and insurance cards. She explains the human-in-the-loop safety net, LLM-based accuracy tuning, and integration patterns that turn messy inbound documents into clean, system-ready data for downstream revenue cycle workflows.
Eric Bowman (CTO @ King.com, previously CTO at TomTom and VP Engineering at Zalando) returns to the alphalist podcast to unpack what “agentic engineering” really means in practice—and how to introduce it to teams without turning it into a mandate. We talk about the uncomfortable trade-offs behind “YOLO mode” tooling, why adoption should feel voluntary even when you set explicit goals (like “five AI-assisted commits” as a company-level key result), and why the real opportunity isn't just faster coding—it's building a learning system that relentlessly reduces time-to-learning and time-to-value. The conversation spans practical rollout patterns, DORA/value-stream thinking, Toyota's Andon-cord mindset applied to software, multi-agent decision support with MCP, and why the CTO role may keep converging with product as AI pushes organizations to optimize for iteration speed over output volume.
Photo by David Klein on Unsplash Published 15 December 2025 e535 with Michael M and Andy – adversarial poetry to jailbreak LLMs, iFixit's FixBot, power of digital twins, putting the breaks on Rewind, Nintendo Virtual Boy and a whole lot more. Michael M and Andy start things off with a most intriguing concept – adversarial poetry. By using ‘memetic language', researchers formulated prompts with imagery and metaphor instead of direct operational phrasing to trick LLMs into providing unsafe responses. Michael makes the point that AI prompts are becoming more and more like spells or incantations. See the show notes below for a link to the paper for any budding AI poet laureate wannabes. Perhaps Jabberwocky can be used in a snicker snack way. Switching to another AI use case, Andy and Michael discuss the iFixit FixBot. The FixBot provides expert advice and guidance for repairs, by talking to the human who likely needs both hands to effect the repair. Next up are a couple of stories on digital twins, and how they leverage game technology. By taking sufficient data points to create a digital twin, multiple attempts can be made virtually to see the improvement before applying the capability to the non-digital twin. Andy is reminded of an article that outlines the affinity between the metaverse and digital twin concepts. Nvidia has a concept of this in their Omniverse capability. Another example of a digital twin with a game overlay is the Job Simulator Game. This game is written as a 2050 historical virtual reality environment allowing the player to experience what it was like to have a job in 2020. This fun VR historical reenactment experience is one of the stories that Tobi Lütke discussed in his recent interview with the Acquired team. Staying on the VR simulation theme, Andy and Michael take a look at the Rats Play Doom game which trains rats in an immersive way to play Doom. In the last section of the episode, the team takes a look at some metaverse news. Meta has acquired limitless.ai and is shutting down Rewind on the Mac, and is also shifting more investment from the metaverse to AI. Wrapping up the episode, Michael and Andy look at the Nintendo Virtual Boy and Xteink 4. What poetry would you write to prompt an LLM? Have your bots
In this episode of The Effortless Podcast, Amit Prakash and Dheeraj Pandey dive deep into one of the most important shifts happening in AI today: the convergence of structured and unstructured data, interfaces, and systems.Together, they unpack how conversations—not CRM fields—hold the real ground truth; why schemas still matter in an AI-driven world; and how agents can evolve into true managers, coaches, and chiefs of staff for revenue teams. They explore the cognitive science behind visual vs conversational UI, the future of dynamically generated interfaces, and the product depth required to build enduring AI-native software.Amit and Dheeraj break down the tension between deterministic and probabilistic systems, the limits of prompt-driven workflows, and why the future of enterprise AI is “both-and” rather than “either-or.” It's a masterclass in modern product, data design, and the psychology of building intelligent tools.Key Topics & Timestamps 00:00 – Introduction02:00 – Why conversations—not CRM fields—hold real ground truth05:00 – Reps as labelers and the parallels with AI training pipelines08:00 – Business logic vs world models: defining meaning inside enterprises11:00 – Prompts flatten nuance; schemas restore structure14:00 – SQL schemas as the true model of a business17:00 – CRM overload and the friction of rigid data entry20:00 – AI agents that debrief and infer fields dynamically23:00 – Capturing qualitative signals: champions, pain, intent26:00 – Multi-source context: transcripts, email threads, Slack29:00 – Why structure is required for math, aggregation, forecasting32:00 – Aggregating unstructured data to reveal organizational issues35:00 – Labels, classification, and the limits of LLM-only workflows38:00 – Deterministic (SQL/Python) vs probabilistic (LLMs) systems41:00 – Transitional workflows: humans + AI field entry44:00 – Trust issues and the confusion of the early AI market47:00 – Avoiding “Clippy moments” in agent design50:00 – Latency, voice UX, and expectations for responsiveness53:00 – Human-machine interface for SDRs vs senior reps56:00 – Structured vs unstructured UI: cognitive science insights59:00 – Charts vs paragraphs: parallel vs sequential processing1:02:00 – The “Indian thali” dashboard problem and dynamic UI1:05:00 – Exploration modes, drill-downs, and empty prompts1:08:00 – Dynamic leaves, static trunk: designing hierarchy1:11:00 – Both-and thinking: voice + visual, structured + unstructured1:14:00 – Why “good enough” AI fails without deep product1:17:00 – PLG, SLG, data access, and trust barriers1:20:00 – Closing reflections and the future of AI-native softwareHosts: Amit Prakash – CEO and Founder at AmpUp, former engineer at Google AdSense and Microsoft Bing, with extensive expertise in distributed systems and machine learningDheeraj Pandey – Co-founder and CEO at DevRev, former Co-founder & CEO of Nutanix. A tech visionary with a deep interest in AI, systems, and the future of work.Follow the Hosts:Amit PrakashLinkedIn – Amit Prakash I LinkedInTwitter/X – https://x.com/amitp42Dheeraj PandeyLinkedIn –Dheeraj Pandey | LinkedIn Twitter/X – https://x.com/dheerajShare your thoughts : Have questions, comments, or ideas for future episodes?Email us at EffortlessPodcastHQ@gmail.comDon't forget to Like, Comment, and Subscribe for more conversations at the intersection of AI, technology, and innovation.
“What does it actually mean to understand the brain?”Dr. Kendrick Kay is a computational neuroscientist and neuroimaging expert at the University of Minnesota's Center for Magnetic Resonance Research, where he is an Associate Professor in the Department of Radiology. With training spanning philosophy and neuroscience, from a bachelor's degree in philosophy at Harvard University to a PhD in neuroscience from UC Berkeley, Dr. Kay's work bridges deep theoretical questions with cutting-edge neuroimaging methods.In this conversation, Peter Bandettini and Kendrick Kay explore the evolving landscape of neuroscience at the intersection of fMRI, philosophy, and artificial intelligence. They reflect on the limits of current neuroimaging methodologies, what fMRI can and cannot tell us about brain mechanisms, and why creativity and human judgment remain central to scientific progress. The discussion also dives into Dr. Kay's landmark contributions to fMRI decoding and the Natural Scenes Dataset, a high-resolution resource that has become foundational for computational neuroscience and neuro AI research.Along the way, they examine deep sampling in neuroimaging, individual variability in brain data, and the challenges of separating neural signals from hemodynamic effects. Framed by broader questions about understanding benchmarking progress, and the growing role of LLM's in neuroscience, this wide-ranging conversation offers a thoughtful look at where the field has been and where it may be headed.We hope you enjoy this episode!Chapters:00:00 - Introduction to Kendrick Kay and His Work04:51 - Philosophy's Influence on Neuroscience17:17 - How Far Will fMRI Take Us?23:27 - Understanding Attention in Neuroscience30:00 - Science as a Process34:17 - The Role of Large Language Models (LLMs) in Scientific Progress38:29 - Why Humans Should Stay in the Equation40:30 - Creativity vs. AI in Scientific Research54:48 - Dr. Kay's Natural Scenes Dataset (NSD)01:00:27 - Deep Sampling: Considerations and Implications01:08:00 - Accounting for biological variation in Brain Scans: Differences and Similarities01:13:00 - Separating Hemodynamic Effects from Neural Effects01:16:00 - Areas of Hope and Progress in the field01:21:00 - How Should We Benchmark Progress?01:22:59 - Advice for Aspiring ScientistsWorks mentioned:54:48 - https://www.nature.com/articles/s41593-021-00962-x54:50 - https://www.sciencedirect.com/science/article/pii/S0166223624001838?via%3DihubEpisode producers:Xuqian Michelle Li, Naga Thovinakere
Synopsis Dans cet épisode, Steve, Patrick, Francis et Jacques revient sur une semaine particulièrement chargée en actualité cybersécurité, mêlant enjeux technologiques, sécurité publique et décisions politiques. On débute avec des nouvelles locales et matérielles, notamment la nomination de Pierre Brochet comme nouveau chef de la police de Laval, ainsi que la découverte de failles majeures et d'un microphone non documenté dans le NanoKVM de Sipeed, soulevant des questions sérieuses sur la chaîne d'approvisionnement et la confiance envers le matériel. La discussion se poursuit avec les correctifs Microsoft de décembre 2025 : trois failles zero-day activement exploitées, des dizaines de vulnérabilités corrigées et une mise à jour de sécurité étendue pour Windows 10. L'équipe analyse aussi une arrestation marquante en Espagne liée au vol de 64 millions de dossiers personnels, ainsi qu'une attaque zéro-clic particulièrement inquiétante capable d'effacer un Google Drive complet via de simples courriels piégés. Un large segment est consacré aux menaces à grande échelle : l'exploitation de la faille React2Shell, ses impacts en cascade (jusqu'à une panne Cloudflare), des campagnes liées à la Chine, et un botnet responsable d'une attaque DDoS record de près de 30 Tbps. S'ajoutent des cas troublants de cybercriminalité, comme la vente de vidéos intimes issues de caméras IP piratées. Enfin, l'épisode explore les enjeux émergents autour de l'IA : vulnérabilité persistante des LLM aux prompt injections, utilisation militaire de l'IA par Google, cyberassurance couvrant les deepfakes, et avertissements sur le rôle croissant de l'IA dans la chaîne de menaces. Le tout est replacé dans un contexte géopolitique et sociétal, entre surveillance étatique, hacktivisme pro-russe et nouvelles régulations, notamment l'interdiction des réseaux sociaux pour les moins de 16 ans en Australie. Nouvelles Francis Pierre Brochet, nouveau chef de la police de Laval TVA Nouvelles Researcher finds undocumented microphone and major security flaws in Sipeed NanoKVM Jacques Microsoft December 2025 Patch Tuesday fixes 3 zero-days, 57 flaws Microsoft releases Windows 10 KB5071546 extended security update Spain arrests teen who stole 64 million personal data records Zero-Click Agentic Browser Attack Can Delete Entire Google Drive Using Crafted Emails Steve India backs off mandatory “cyber safety” app after surveillance backlash Researchers track dozens of organizations affected by React2Shell compromises tied to China's MSS React2Shell flaw exploited to breach 30 orgs, 77k IP addresses vulnerable Cloudflare blames today's outage on React2Shell mitigations Aisuru botnet behind new record-breaking 29.7 Tbps DDoS attack Korea arrests suspects selling intimate videos from hacked IP cameras Pro-Russia hacktivists conduct opportunistic attacks against U.S. and global critical infrastructure (JCA-AA25-343A) Organizations can now buy cyber insurance that covers deepfakes UK cyber agency warns LLMs will always be vulnerable to prompt injection Ignoring AI in the threat chain could be a costly mistake, experts warn Millions of children and teens lose access to accounts as Australia's world-first social media ban begins Australia social media ban – explainer video Google is powering a new US military AI platform Crew Patrick Mathieu Steve Waterhouse Francis Coats Jacques Sauvé Shamelessplug Join Hackfest/La French Connection Discord #La-French-Connection Join Hackfest us on Masodon POLAR - Québec - 29 Octobre 2026 Hackfest - Québec - 29-30-31 Octobre 2026 Crédits Montage audio par Hackfest Communication Music par Kazuki – Four Day Weekend - Dusk Locaux virtuels par Streamyard
AI Unraveled: Latest AI News & Trends, Master GPT, Gemini, Generative AI, LLMs, Prompting, GPT Store
Welcome back to AI Unraveled, your strategic briefing on the business impact of artificial intelligence.Today, we are doing something different. We are skipping the daily news cycle to focus on a single, massive piece of research that just dropped from a powerhouse team at Stanford, Princeton, Harvard, and the University of Washington that proposes the first proper taxonomy for Agentic AI Adaptation.If you are building or scaling agent-based systems, this is your new mental model. The researchers argue that almost all advanced agentic systems—despite their complexity—boil down to just four basic feedback loops. We explore the "4-Bucket" framework (A1, A2, T1, T2) and explain the critical trade-offs between changing the agent versus changing the tools.Key Topics:Intro: Why "learning from feedback" is the definition of adaptation.The Definition: What actually counts as "Agentic AI"?Bucket A1 (Agent + Tool Outcome): Updating the agent based on whether code ran or queries succeeded.Bucket A2 (Agent + Output Eval): Updating the agent based on human feedback or automated scoring.Bucket T1 (Frozen Agent + Trained Tools): Keeping the LLM fixed while optimizing retrievers and external models.Bucket T2 (Frozen Agent + Agent-Supervised Tools): Using the agent's own signals to tune its toolkit.Trade-offs: Cost vs. Flexibility in modern system design.Links & Resources:Read the Paper: Adaptation Strategies for Agentic AI Systems (GitHub): https://github.com/pat-jj/Awesome-Adaptation-of-Agentic-AI/blob/main/paper.pdfKeywords: Agentic AI, AI Taxonomy, AI Research, Stanford AI, Princeton AI, Large Language Models, LLM Agents, Reinforcement Learning, Tool Use, RAG, A1 A2 T1 T2, AI Adaptation, Etienne Noumen, AI Unraveled.
Welcome back to the Ultimate Guide to Partnering® Podcast. AI agents are your next customers. Subscribe to our Newsletter: https://theultimatepartner.com/ebook-subscribe/ Check Out UPX:https://theultimatepartner.com/experience/ Jen Odess, Group Vice President of Partner Excellence at ServiceNow, joins Vince Menzione to discuss the company’s incredible transformation from an IT ticketing solution to a leading AI-native platform for business transformation. Jen dives deep into how ServiceNow has strategically invested in and infused AI into its unified platform over the last decade, enabling over a billion workflows daily. She also outlines the critical role of the partner ecosystem, which executes 87% of all implementations, and reveals the company’s strategic initiatives, including its commitment to the hyperscaler marketplaces, the goal to hit half a billion dollars in annual contract value for its Now Assist AI product, and the push for partners to adopt an ‘AI-native’ methodology to capitalize on the fact that customers still want over 70% of AI buying to be done through partners. Key Takeaways ServiceNow is an ‘AI-native’ company, having invested in and built AI directly into its unified platform for over a decade. The company’s core value today is in its unified AI platform, single data model, and leadership in workflows that connect the entire enterprise. ServiceNow will hit $500 million in annual contract value for its Now Assist AI products by the end of 2025, making it the fastest-growing product in company history. An astonishing 87% of all ServiceNow implementations are done by its global partner ecosystem, highlighting their crucial role. The company is leveraging the half-trillion-dollar opportunity of durable cloud budgets by driving marketplace transactions and helping customers burn down cloud commits using ServiceNow solutions. To win in the AI era, partners must adopt AI internally, co-innovate on the platform, and strategically differentiate themselves to rank higher in the forthcoming agentic matching system. Key Tags: ServiceNow, AI-native platform, Now Assist, Jen Odess, partner excellence, workflow leader, AI platform for business transformation, hyperscalers, Microsoft Azure, Google Cloud, AWS, marketplace transactions, cloud commits, AIDA model, agentic matching, F-Pattern, Z-Pattern, group vice president, MSP, GSI, co-innovation, autonomous implementation, technical constraints, visual hierarchy, UX, UI, responsive design. Ultimate Partner is the independent community for technology leaders navigating the tectonic shifts in cloud, AI, marketplaces, and co-selling. Through live events, UPX membership, advisory, and the Ultimate Guide to Partnering® podcast, we help organizations align with hyperscalers, accelerate growth, and achieve their greatest results through successful partnering. Transcript: Jen Odess Audio Podcast [00:00:00] Jen Odess: The AI platform for business transformation, and I love to say to people, it sounds like a handful of cliche words that just got stacked together. The AI platform for business transformation. Yeah. We all know these words, so many companies use ’em, but it is such deliberate language and I love to explain why. [00:00:20] Vince Menzione: Welcome to, or welcome back to The Ultimate Guide to Partnering. I’m Vince Menzi on your host, and my mission is to help leaders like you achieve your greatest results through successful partnering. Today we have a special leader, Jen Odes is the GVP for Partner Excellence at ServiceNow. And joins me here in the studio in Boca Raton. [00:00:40] Vince Menzione: Jen, welcome to the podcast. Thanks, Vince. It’s so great to be here. I am so thrilled to welcome you. To Boca Raton, Florida. Our podcast home look at this amazing background we have Here is this, and this is where we host our ultimate partner Winter retreat. Actually, in February, we’re gonna give that a plug. [00:00:58] Vince Menzione: Okay. I’d love to have you come back. I’d love to have an invite. And you flew in this morning from Washington DC [00:01:04] Jen Odess: I did. It was 20 degrees when I left my house this morning and this backdrop. Is definitely giving me, island South Florida like vibes. It’s fabulous. [00:01:13] Vince Menzione: And we’re gonna talk about ServiceNow. [00:01:14] Vince Menzione: And you’re also opening an office down here? We [00:01:17] Jen Odess: are [00:01:17] Vince Menzione: in West Palm Beach. Not too far from where we are. Yes. Later 2026. Yeah. I love that. And then so we’ll work on the recruiting year, but let’s dive in. Okay. So thrilled to have ServiceNow and to have you in the room. This has been an incredible time for your organization. [00:01:31] Vince Menzione: I have been watching, obviously I work with Microsoft. We’ve had Google. In the studio, Amazon onboard as well. And other than those three organizations, I can’t think of any other legacy organization that has embraced AI more succinctly than ServiceNow. And I thought we’d start there, but I really wanna spend some time getting to know you and getting to know your role, your mission, and your journey to this incredible. [00:01:57] Vince Menzione: Leadership role as a global vice president. We’ll talk about Or [00:02:01] Jen Odess: group. Group Vice president. I know it doesn’t roll off the tongue. I get it. A group vice president doesn’t roll. [00:02:05] Vince Menzione: G-V-P-G-V-P doesn’t roll off the time. And in some organizations it is global. It is in other organizations, it’s group. So let’s, you’re not [00:02:12] Jen Odess: the first to say global vice president. [00:02:14] Jen Odess: Okay. I’ll take either way. It’s fine. [00:02:15] Vince Menzione: Yeah. Yeah. And might be a promotion. Let’s talk. Let’s talk about that. Let’s talk about you and your career journey and your mission. [00:02:22] Jen Odess: Yeah, so I’ve been at ServiceNow for five years. In fact, January will be like the five year anniversary and then it will be the beginning of my sixth year. [00:02:31] Jen Odess: Amazing. And I actually got hired originally to build out the initial partner enablement function. So it didn’t really exist five years ago. There was certainly enablement that happened to Sure. All individuals that were. Using, consuming, buying ServiceNow, working with ServiceNow. But the partner enablement function from pre to post-sale, that whole life cycle didn’t exist yet. [00:02:54] Jen Odess: So that was my initial job. I got hired to run partner enablement and it before. And how big [00:02:59] Vince Menzione: was your partner organization at that point? It must have been pretty small. [00:03:01] Jen Odess: It was actually not as small as you would think. Gosh, that’s a great question. You’re challenging my memory from five years ago. [00:03:08] Jen Odess: I know that we’re over 2,500 partners today and we add hundreds every year, so it had to have been in the low one thousands. Wow. Is where we were five years ago. But the maturity of the ecosystem is grossly larger today than it was then. I can imagine. So back then there was less than 30,000 individuals that were skilled on ServiceNow to sell or solution or deliver. [00:03:34] Jen Odess: Today there’s almost a hundred thousand. Wow. So yeah that’s like the maturity in the capability within the ecosystem. But before I start on my ServiceNow and my group vice president. Which is a great role, by the way. Group Vice President. Yeah. Partner Excellence group. I’m very proud of it. [00:03:49] Jen Odess: But but let me tell you what brought me here, please. So I actually came from a partner, but not in the ServiceNow ecosystem. Okay. I won’t name the partner, but let’s just say it’s a competitor, a competitive ecosystem. And I worked for a services shop that today I would refer to as multinational. [00:04:11] Jen Odess: Kind of a boutique darling, but with over 1,500 consultants, so Okay. A behemoth as well? Yeah. Privately held. And we were a force to be reckoned with, and it was really fun. I held so many roles. I was a customer success manager. I led the data science practice at one point. I ran global alliances and partnerships. [00:04:35] Jen Odess: At one point I was the chief of staff to the CEO at the time that company was acquired. Big global si. And and then at one point I even spun off for the big global SI and helped run a culture initiative to transform co corporate culture. Wow. Very inside the whole organization. Wow. That is very, yeah. [00:04:54] Jen Odess: Really interesting set of roles. And the whole reason I came to ServiceNow is by the time I was concluding that journey in that ecosystem on the services side, I felt like. I didn’t fully understand what it meant to be on the software product side. And I often felt like I approached friction or moments of frustration and heartache with resentment for the software company. [00:05:20] Jen Odess: Sure. Or maybe just a lack of empathy for what they must be going through as well. It always felt like I was on the kind of [00:05:26] Vince Menzione: negative you were on the other side of the table. Totally. [00:05:27] Jen Odess: Yeah. And, or maybe like the redheaded stepchild kind of a concept as a partner. And so I sought out to. Learn more, which is probably a big piece of my journey is just constant curiosity. [00:05:38] Jen Odess: Nice. And I thought I think the thing I’m missing is seeing what it means firsthand to be on the software product side. And that was what led me to a career at ServiceNow. Five years strong. Yeah. So [00:05:50] Vince Menzione: talk about partner experience for those who don’t know what that means. [00:05:53] Jen Odess: Yeah. Today my role is partner excellence, but it used to be partner experience. [00:05:58] Jen Odess: Okay. And so the don’t. Yeah, that’s normal to say both things. And they actually mean two very different things. [00:06:04] Vince Menzione: Yeah, I would say so. [00:06:05] Jen Odess: And we deliberately changed the title about a year ago. So today, partner Excellence is about really ensuring that we build a vibrant AI led ecosystem. And that’s from the whole life cycle of the partner, from the day they choose to be a partner and onboard, and hopefully to the day they’re just. [00:06:23] Jen Odess: Thriving and growing like crazy, and then across the whole life cycle of the customer pre to post sale. So it’s, we are almost like the underpinning and the infras infrastructure. Someone once said it’s like we’re the insurance policy of all global partnerships and channels. That’s how we operate across global partnerships and channels and service Now. [00:06:42] Vince Menzione: And you have a very intimate relationship with those partners. We’re gonna dive in on that as well. Yes. But let’s talk about this time like no other. I talk about tectonic shifts at all of our events. People that listen to our podcasts know we talk about the acceleration of transformation, and it’s happening so fast. [00:06:58] Vince Menzione: It was happening fast even during COVID. But then. I’ll call this date or time period, the November 20, 22 time period when Chat GPT launched. Oh yeah. And that really changed the world in many respects, right? Yeah. Microsoft had already leaned in with chat, GPT, Google, we talked to Google about this. [00:07:17] Vince Menzione: Even having them in the room was like, they were caught flatfooted in a way, and they had a lot of the technology and they didn’t lean in. But it feels like ServiceNow was one of the first, certainly on the ISV side of the house and refer to the term ISV. Loosely, because hyperscalers are ISVs as well. [00:07:34] Vince Menzione: They were early to lean in and have leaned it in such a way from a business application perspective that I believe we haven’t seen embracing and infusing AI into your platform. I was hoping we could dive in a little bit on ServiceNow from a. Kinda legacy, what the organization was and is today. [00:07:56] Vince Menzione: And then also this infusion of AI into the platform. If you don’t mind, [00:07:59] Jen Odess: I love this topic. Okay. And I feel like it’s such a privilege to talk about ServiceNow on this topic because we really are a leader in the category. I’ll almost rewind back to over 20 years ago when the company was founded. [00:08:11] Jen Odess: Today, fast forward, we are so much more than an IT ticketing company. We are, [00:08:16] Vince Menzione: but that was the legacy. That’s how I knew service now 20 years ago. [00:08:19] Jen Odess: And what a beautiful legacy. Yeah. But we have expanded immensely beyond that. And that’s the beautiful story to tell customers. That’s so fun. [00:08:28] Jen Odess: But what what I love is that. So 20 years ago, that was where we started. And today, do you know that over a billion workflows are put to work every single day for our customers? A billion [00:08:38] Vince Menzione: workflows, over a billion workflows. That’s crazy. [00:08:40] Jen Odess: And 87% of all implementations for ServiceNow were done by partnerships. [00:08:46] Jen Odess: And channels. That’s fantastic. So you think about those billion plus workflows daily, all because of our partner ecosystem. This is my small plug. I’m just very proud 80, proud 86%. [00:08:56] Vince Menzione: Did you hear that? Part’s 86%. [00:08:57] Jen Odess: Amazing. And so that’s like what we’re, that’s what we’re a leader in the category. We are a leader in workflows categorically. [00:09:05] Jen Odess: But then over a decade ago, we started investing in ai. We started building it right into our platform, and this becomes the next kind of notch on our belt, which is we are a unified platform. Nothing is bolted on, nothing is just apid in. Yeah, it is a unified platform. So all of that AI that for the past decade we’ve been building in into our platform. [00:09:28] Jen Odess: Just in our AI platform, which is now what we are calling it, the AI platform. [00:09:34] Vince Menzione: And I would say that unless you were a startup starting up from scratch today and building on an LLM, we were building in a way I don’t think any other organization’s gonna actually state that [00:09:45] Jen Odess: what’s actually why we call ourselves AI native. [00:09:47] Jen Odess: Yeah, beca for that exact reason. And that’s who we’re competing with a lot these days, is the truly AI native startups where they didn’t have, the 20 years. Previously that we had, but that’s what makes us so unique in the situation, is that unified AI platform, a single data model that can connect to anything. [00:10:07] Jen Odess: And then the workflow leader. And when you put all those things together, AI plus data, plus workflows and that’s where the magic happens. Yeah. Across the enterprise. It’s pretty cool. [00:10:17] Vince Menzione: That is very cool. And you start thinking about, and we start talking about agent as a, as an example. Let’s talk about this for a second. [00:10:23] Vince Menzione: You, when what is this bolt-on, we could use the terms co-pilot, we could use Ag Agent ai, but they are generally bolted onto an existing application today. So take us through the 10 years and how it has become a portion or a significant portion. Of ServiceNow. [00:10:41] Jen Odess: When say the question a little bit more. [00:10:43] Jen Odess: Like when you say it’s, yeah, when which examples have bolted on? [00:10:47] Vince Menzione: So exa, we, what we see today is the hyperscalers coming out with their own solution sets, right? They’re taking and they’re offering it up to their ecosystem to infuse it into their product and portfolio. To me, those that look like bolted on in many respects, unless it’s an AI need as a native organization, a startup organization. [00:11:07] Vince Menzione: They’re mostly taking and re-engineering or bolting onto their existing solutions. [00:11:12] Jen Odess: I follow. Yeah. Thank you for giving me a little more context. So I call this our any problem. It’s like one of the best problems to have we can connect into. Anything, any cloud, any ai, any platform, any system, any data, any workflow, and that’s where any hyperscaler, and that’s the part that makes it so incredible. [00:11:32] Jen Odess: So your word is bolt on, and I use the word any the, any problem. Yeah. We’ve got this beautiful kind of stack visual that just, it’s like it just one on top of the other. Any. Any, and no one else can really say that. I gotta see [00:11:45] Vince Menzione: that visual. Yeah. Yeah. So talk about this a little bit more. So you’re uniquely positioned. [00:11:52] Vince Menzione: Let’s talk about how you position, you talked about being AI native. What does that imply and what does that mean in terms of the evolution of the platform? From ticketing to workflows to the business applications? What are the type of applications Yeah. Markets, industries that you’re starting to see. [00:12:08] Jen Odess: So I’ll actually answer this with, taking on a small, maybe marketing or positioning journey. So there was a time when our tagline would be The World Works with ServiceNow. There was a time when it was, we put AI to work for people and today and it, I think it was around Knowledge 2025, this came out. [00:12:28] Jen Odess: It was the AI platform for business transformation. And I love to say to people, it sounds like a handful of. Cliche words that just got stacked together. The AI platform for business transformation. Yeah. We all know these words, so many companies use ’em, but it is such deliberate language and I love to explain why. [00:12:46] Jen Odess: So the first is the AI platform is calling out that we are an AI native platform. We are a unified platform. It’s a chance to say all that goodness I already shared with you. Yeah. And the business transformation is actually telling the story of no longer being a solution. Point or no longer being an individual product that does X. [00:13:06] Jen Odess: It’s about saying. The ServiceNow platform can go north to south and east to west across your entire enterprise. Okay. Up and down the entire tech stack. Any. And then east to west, it can cut across the enterprise, the C-suite, the buying centers, all into one unified AI platform. With one data model. [00:13:26] Jen Odess: I love it. And so I love that AI platform for business transformation actually has so much purpose. [00:13:32] Vince Menzione: It does. So you’re going across the stack, so you’re going all the way from the bottom layer, all the way up to the top from the ue. Ui. And then you’re going across the organization, right? You’re going across the C-suite, you’re going across all the business functions of an organization. [00:13:46] Vince Menzione: Correct. And so the workflows are going across each of those business functions? [00:13:49] Jen Odess: Correct. And then our AI control tower is sitting at the very top, governing over all of it. [00:13:53] Vince Menzione: I love the control tower. [00:13:54] Jen Odess: I know the governance, security risk protocol, managing all the agents interoperability. Yeah. [00:14:01] Vince Menzione: And then data at the very bottom right. [00:14:03] Vince Menzione: Controlling all those elements and the governance of the data and the right, the cleanliness of the data and so on. Yeah. That’s incredible. I we could probably talk about business applications. I know one, in fact, I’ve had a person sit in this, your chair from we’ll call it a large GSIA very significant GSI one of the top five. [00:14:21] Vince Menzione: And they took ServiceNow and they applied it to their business partnering function. And they used, and we, you probably don’t know about this one, but I know that that’s a, an example of taking it and applying it all across all the workflows, across all the geographies of the organization and taking a lot of the process that was all done manually. [00:14:40] Vince Menzione: That was stove pipe business processes that were all stove piped and removing the stove pipe and making for a fluid organizational flow. [00:14:47] Jen Odess: And I’ll bet you the end user didn’t even realize ServiceNow was the backend. That’s some of the greatest examples actually. [00:14:53] Vince Menzione: Yeah. Yeah. So Jen, we work with all the hyperscalers. [00:14:56] Vince Menzione: We have a very strong relationship with Microsoft. Goes back many years, my back to my days at Microsoft and we’ve had Google in the room. We have AWS now as well. We bring them all together because we believe that partners work with, need to work with all three. And I know that you have had an interesting transformation at ServiceNow around the hyperscalers. [00:15:16] Vince Menzione: I was hoping you could dive in a little deeper with us. [00:15:19] Jen Odess: Yeah. We are so proud of our relationships with the hyperscalers, so the same three, so it’s Microsoft Azure, Google Cloud, and AWS. And really it’s it’s a strategic 360 partnership and our goal is really to drive marketplace transactions. [00:15:34] Jen Odess: So ServiceNow selling in all of their marketplaces and then. Burn down of our customers cloud commits. I love it. It’s really a beautiful story for our customers and for the hyperscalers and for ServiceNow. And so we’ve, it’s brand, it’s a brand new announcement from late in the year 2025. Love it. And we’re really excited about it. [00:15:51] Vince Menzione: Yeah. And then we, and we get all of the marketplace leaders in the room. So we’ve worked with all of those people. And one of the key points about this is there is over a half a trillion dollars in durable cloud budgets with customers that [00:16:08] Vince Menzione: Already committed to, I know, so that tam available, a half a trillion dollars is available to customers to burn down and utilize your solutions and professional services with partners as well in terms of driving a complete solution. [00:16:21] Jen Odess: That’s exactly the motion we’re pushing is to go and leverage those cloud commits to get on ServiceNow and in some cases, maybe even take out other products to go with ServiceNow and actually end up funding the transition to ServiceNow. Yeah. Yeah. [00:16:37] Vince Menzione: So you serve thousands of customers today, thousands of customers. [00:16:42] Vince Menzione: I can’t even. Fathom the exact number, but you have this partner ecosystem that you described, and their reach is even more incredible, like hundreds of thousands. Yeah. So tell us a little bit more about how you think about that, and then how do you drive the partner ecosystem in the right way to drive this partner excellence that you described. [00:17:02] Jen Odess: Yeah, that’s a great question. So yeah, thousands of ServiceNow customers and we’re barely scratching the surface in comparison to our partners customers. So we have over 2,500 partners Wow. In our ecosystem. And today they cut across what I would call five routes to market. That partners can go to market with ServiceNow. [00:17:21] Jen Odess: Okay. The first is consulting and implementation. This will be your classic kind of consulting shop or GSI approach. The second is resell, just like it sounds. Yep. [00:17:30] Vince Menzione: Transactional. [00:17:31] Jen Odess: Yep. The third is managed service provider. [00:17:33] Vince Menzione: Okay. [00:17:34] Jen Odess: The fourth is what we call build, which is. The ISV, strategic Tech partner realm, and then the fifth is hyperscaler. [00:17:43] Jen Odess: Those are the five routes to market. So partners can choose to be in one or all or two. It doesn’t matter. It’s whichever one fits the kind of business they want to go drive. Nice. Where they’re. Expertise lies. And then we’ve got partners that show up globally, partners that show up multinational and partners that show up regionally and then partners that show up locally, in country and that’s it. [00:18:06] Jen Odess: And we really want a diverse set of partners capable of delivering where any of our customers are. So it’s important that we have that dynamic ecosystem where we really push them. We’re actually trying hard to balance this. Yeah, you would’ve heard it from many of your other partners. This direct versus indirect. [00:18:24] Jen Odess: Yes. Motion. For anyone listening that doesn’t know the difference, right? Direct is ServiceNow is selling direct to a customer, there might be a partner involved influencing that will implement. Yeah, likely but ServiceNow is really driving the sale versus indirect where the whole thing routes through the partner. [00:18:39] Jen Odess: Right? Which is your classic reseller or managed service provider and often a an ISV. And you know that balance is never gonna be perfect ’cause we’re not gonna commit to go all direct or all indirect. We’re gonna continue to sit in this space where we’re trying to find a healthy balance. [00:18:56] Jen Odess: So I find a lot of our time trying to figure out how do you set all those parties up for success? Yeah. The parties are the ServiceNow field sellers? And then you’ve also got the partnerships and channels, so the ecosystem, and then you’ve got the people in global partnerships and channels. So my broader organization, and we’re all trying to figure out how to work harmoniously together and it’s a lot of, it is my job to get us there. [00:19:19] Jen Odess: And so we use lots of things like incentives and benefits and we will put in place gated entry, really strategic gated entry. What does [00:19:29] Vince Menzione: gated entry mean? [00:19:30] Jen Odess: Yeah. What I mean is if you want to have a chance at being matched with a customer Yeah. For a very specific deal. Or it’s really one of three to get matched. [00:19:41] Jen Odess: ‘Cause you can never match one-to-one. It has to be three or more. Okay. We have good compliance rules in place. Yeah. But in order to even. Like surface to the top of the list to be matched. There’s a gated entry, which is, you’ve gotta have validated practices. Okay. Which is how, it’s these various ways, as you described, you quantify and qualify the partner’s capabilities. [00:20:00] Vince Menzione: Yeah. So you have to meet these qualifications. Yes. And you could be one of three to enter and be. Potentially matched, considered significant or Yes. Match for this deal? [00:20:08] Jen Odess: Yes, that’s exactly right. So we use, various things like that. And then we try to carve what I would call dance card space reseller in commercial, try to sit here and like carve by geo, by region, by country dance card space as well to help the partners really know exactly where they can unleash versus, hey, this is the process and the rules of engagement. To go and sell alongside the direct org sales organization [00:20:33] Vince Menzione: and you’re gonna have multiple partners in the same opportunities. [00:20:37] Vince Menzione: Absolutely not. Not necessarily competing with each other. There’s three competing each with each other, but also you’re gonna have other partners that provide different capabilities as well. You might have that have some that are just transac. Those are gonna be those channel or reseller partners. [00:20:52] Vince Menzione: You might have an MSP that’s actually delivering, or at least providing some type of managed service on top of the stack. Like supporting the customer. Yeah. And then you might have an SI GSI an integration partner that’s also doing the con the consulting work around getting the solution to meet with the customer’s requirements. [00:21:12] Vince Menzione: Would you say [00:21:13] Jen Odess: so? That’s exactly right. Yeah. And actually in. AI era, we’re seeing more of it than ever. And even on the smaller deals, maybe not the GSIs on the smaller deals, but we’re seeing multiple partners come in to serve up their specific expertise, which is actually a best practice. That’s [00:21:33] Vince Menzione: terrific. [00:21:33] Jen Odess: We don’t want. If you’ve got an area that’s a blind spot and you’re a partner, but that’s something your customer is buying from you, there’s no harm in saying let’s bring in an expert in that category to deliver that piece of the business. That’s right. And we’ll maybe shadow and watch alongside. [00:21:46] Jen Odess: So we’re seeing more and more of it. And I actually think like the world of. Partnerships and ecosystems. If I go back to like my previous ecosystem as well, it’s become so much more communal than ever before. Yes. This idea that we can share and be more open and maybe even commiserate over the things, gosh, I can’t believe we have the same frustrations or we have the same. [00:22:09] Jen Odess: Wow, that’s amazing. And you’re in this country. And I’m in this country. And so we’re seeing more and more coming together on deals which I really respect a lot. ’cause So one of the new facts we’ve just learned actually, Vince, is that. Of all the ai buying that customers are doing out there, they actually still want over 70% of it to be done by partners. [00:22:32] Vince Menzione: Yes. [00:22:33] Jen Odess: So even though it looks like it could be maybe set up easy configured, easy plug and play it. It to get, it’s not real ROI. You still need a partner with expertise in that industry or that domain, or in that location or in that language to come and bring the value to life. And we will certainly accelerate, help accelerate time to value with things that ServiceNow will do for our partners. [00:22:56] Jen Odess: But if over 70% is gonna go to partners and AI is so new, wouldn’t you want more than one partner Sometimes on a absolutely on a deal, at least while we’re all learning. I think we can keep ebbing and flowing [00:23:07] Vince Menzione: on this. We you, I dunno if Jay McBain, ’cause we’ve had him in the room here and he is a, he’s an analyst that does a lot of work around this topic. [00:23:14] Vince Menzione: And we talk about the seven seats at the table because there are, again, you need more you, first of all, you need to have your trusted, you need to have the organizations that you work with. And you also, in the world of ai, with all of the tectonic shifts, all the constant changing that’s going on right now, I need to make sure that I have the right. [00:23:31] Vince Menzione: People by my side that I can trust, they can help me deliver what I need to deliver. ’cause it might have changed from six months ago. And the technology is changing. Everything is changing so rapidly right now. So again, having all those right people I want to pick up on something ’cause we talked a little bit about MSPs and they’ve become a favorite topic of ours. [00:23:52] Vince Menzione: I have become acutely aware of the Ms P community recently. I kinda looked at them as well. There’s little small partners, but you’ve suggested this as well. They have regional expert, they have expertise in a specific area. And can be trusted, and maybe you’re integrating multiple solution sets for a customer. [00:24:11] Vince Menzione: But we’ve seen this MSP community become very vibrant lately, and I feel like they woke up to technology and to AI in such a big way. Can you comment on that? [00:24:20] Jen Odess: So we feel and see the same thing I’ve always valued what managed service providers bring to the table. It’s like that. [00:24:26] Jen Odess: Classic are you a transformation shop or are you a ta? The tail end or the run business shop? And so many partners are like we’re both, and I wanna be like, but are you? But now I feel like we finally are seeing the run business is so fruitful. So AI is innovating. All the time. [00:24:46] Jen Odess: We, we are innovating as a AI platform all the time. What used to be six month, every six months family releases of our software. Yeah. It became quarterly and now we’re practically seeing releases of new innovation every six to eight weeks. So why wouldn’t you want a managed service provider? Paying close attention to your whole instance on ServiceNow and taking into account all the latest innovation and building it into your existing instance, and then looking out for what new things you should be bringing in. [00:25:20] Jen Odess: So that’s the beauty of the, it’s almost partnerships, observing, and then suggesting how to keep. Doing better and more and better versus always jumping straight back to complete redesign and transformation. Yeah, and that’s one of the things I like about the MSPs in this space. [00:25:36] Vince Menzione: So let’s broaden out from this part of the conversation ’cause you’re giving specific guidance to the MSPs, but let’s think about this whole partner community. [00:25:43] Vince Menzione: And you’ve seen this transformation coming over to ServiceNow and even within ServiceNow these last five years. How do these organizations need to think differently? And how do they need to structure their services in this newent world? [00:25:58] Jen Odess: Great question. There’s really four things that I think they have to be thoughtful of. [00:26:02] Jen Odess: The first is maybe the most obvious they have to adopt AI as their own ways of doing work methodology. Delivery, whatever it is, because only through the, it’s not about taking out people in jobs, it’s about doing the job faster, right? It’s about getting the customer to value faster so that adoption of AI will make or break some partners. [00:26:24] Jen Odess: And our goal is that every partner comes on the other side of this AI journey, thriving and surviving. So we’re really pushing. This agenda. And maybe later I can talk to you a little bit more about this autonomous implementation concept. Please. ’cause I that will [00:26:37] Vince Menzione: resonate. So you’re saying they need to, we used to use the term eat their own dog food. [00:26:41] Vince Menzione: Now it’s drink your own champagne. Yeah. But they need to adopt it as well internally. [00:26:46] Jen Odess: Yeah. And I think whether they’re using, I hope they’re using ServiceNow as like a client, zero. To do some of that adoption. But there’s lots of other tools that are great AI tools that will make your job and your day-to-day life and the execution of that job easier. [00:26:59] Jen Odess: So we want them adopting all of that. The second is, we really need to see partners. Innovating on the ServiceNow platform. Yeah. And whether that’s building agents AI agents that go into the ServiceNow store, whether it’s building a really fantastic solution that we wanna joint jointly go to market with, or maybe it’s one of those embedded solutions you were commenting where the end user doesn’t even know that the backend, like a tax and audit solution that is actually just. [00:27:29] Jen Odess: The backend is all ServiceNow. Yeah. But that partner is going to market and selling it to all their customers. Exactly. So I think this co-innovation is gonna be a place that we will really win in market. The third is if a partner wants to stand out right now, they have to differentiate on paper too. [00:27:47] Jen Odess: It’s gotta like what does that mean? So if there’s 2,500 partners. And it’s not like we don’t walk around and just say, you should talk to this partner. Yeah. Or here’s my secret list. You should, we don’t do that. That’s not good business and it’s not compliant. So we have algorithms that take all the quantitative and qualitative data on our partners and they know all the data points ’cause it’s part of the partner program Nice. [00:28:10] Jen Odess: That they adhere to and then ranks them on status. And all those data points are what I’m referring to as on paper. You’ve gotta be differentiated. So whether or not you wanna be great at one thing or great across the whole thing, think about how all of those quantitative and qualitative data points are making you stand out, because that’s where those matches that I was referring to. [00:28:35] Jen Odess: Yes. That’s where that’s gonna come to life. And it’s skills, it’s capabilities. It’s deployments. So Proofpoint and deployments, customer success stories, csat, all the things. So [00:28:47] Vince Menzione: those are all the qualifi qualifiers for and more, but those are the types [00:28:49] Jen Odess: of qualifications. Yeah. [00:28:51] Vince Menzione: And then do your, does your sales organization do a match against that based on a customer’s requirements that they’re working with and who they work with and co-sell with? [00:29:00] Jen Odess: And I feel like you just lobbed me the greatest question. I didn’t even know you were gonna ask it, but I’m so glad you did. So today. Today there is something called a partner finder, which is which is nice, but it’s a little bit old school in a world of ai. Yeah. So you go to servicenow.com, you click partner from the top navigation, and then it says find a partner and you can literally type in the products you’re buying the country, you’re, that you’re headquartered out of. [00:29:26] Jen Odess: Whatever thing you’re looking for. And it will start to filter based on all those data points, the right partners, and you can actually click right there to be connected to a partner. So lead generation. Okay, interesting. But where we’re going is a agentic matching right in our CRM for the field. Oh. So those data points are gonna matter even more, and that’s where the gated. [00:29:48] Jen Odess: I say gated entry, which is probably too extreme, right? It’s really gated. If you wanna surface toward the top, there’s gated parameters to try to surface to the top, but those data points will feed the algorithm and it will genetically match right in our CRM for the field. Who are the best suited partners? [00:30:09] Jen Odess: Would you like to talk to them? [00:30:10] Vince Menzione: Okay. And so is it. Partner facing? Is it sales team facing [00:30:14] Jen Odess: Right now? It’s sales. It’ll, when it goes live, it will be sales team facing. Okay. But we have greater ambition for what partners can do with it. Yeah. Not just in the indirect motion, but also what partners may be able to do with it to interface with our field. [00:30:30] Jen Odess: The. [00:30:31] Vince Menzione: The, yeah the collaboration [00:30:33] Jen Odess: opportunity. Which is always a friction point that we’re working on [00:30:36] Vince Menzione: always because it’s very manual. It’s people intensive. Yeah. Partner development managers sitting on both sides of the equation and the interface between the sales organization and a partner organization is not always the. The easiest. So right. Automated, quite a bit of that. [00:30:49] Jen Odess: My boss is obsessed with the easy button, which I know is a phrase many of us in the US know from I think it’s an Office Depot, all these ways in which we can have easy button moments for the partner ecosystem is what we’re trying to focus on. [00:31:01] Jen Odess: I love the easy button. [00:31:02] Vince Menzione: Yeah. And I love your boss too. Yeah, he’s fabulous. Fabulous. So Michael and I go back like many years ago. You must have, [00:31:08] Jen Odess: yeah. You must have had paths crossing on numerous occasions. [00:31:12] Vince Menzione: Yeah we we worked together micro I’m going to hijack the session for a second here. [00:31:16] Vince Menzione: But when I first came to Microsoft, he was leading a, the se, a segment of the business, and he invited me to come to his event and interviewed me on stage at his event. [00:31:26] Jen Odess: No way. [00:31:26] Vince Menzione: And we got to know each other and yeah. So he was terrific. He was what a great find for, oh, he’s for service now. [00:31:32] Vince Menzione: He’s really [00:31:32] Jen Odess: has been a fantastic addition [00:31:34] Vince Menzione: to the global partnerships and channels team. And Michael, we have to have you on the podcast. Yes. Or cut down here in the studio at some point too with Jen and I. That’d be great. So this is terrific. We are getting it’s an incredible time. [00:31:44] Vince Menzione: It’s going so fast this time, 2022 was, seems like it was five, it feels like it was almost 10 years ago now. It wasn’t that we just started talking about it and you were implementing AI 10 years ago, but it wasn’t getting the attention that it’s getting today. And it really wasn’t until that moment that it really started to kick off in a way that everybody, yeah. It became pervasive overnight I would say. But now we’re starting 2026, like we’re at. This precipice of time and it’s continuing. I don’t even know what 2030 is gonna look like, right? So I’m a partner. [00:32:16] Vince Menzione: What are the one, two, or three things that I need to do now to win over and work with ServiceNow? [00:32:23] Jen Odess: One, two or three things? I’ll tell you the first thing. So today ServiceNow will end up hitting 500 million in annual contract value in our Now Assist, which is our AI products by the end of 2025, which is the fastest growing product in all of ServiceNow history. [00:32:37] Jen Odess: That’s one product that’s so there’s lots of SKUs. Yeah, but it is. It’s our AI product. Yeah. And it is, but yeah, because of all the various ways. [00:32:45] Vince Menzione: So half a billion dollars, [00:32:46] Jen Odess: half a billion by the end of 2025. And I think, someone’s gonna have to keep me honest here, but if memory serves me right, the first skews didn’t even launch until 2024. [00:32:54] Jen Odess: So we’re talking about wow, in a year it’s fast. Over 1,700 customers are live with our now assist products. Again, in a matter of, let’s call it over, a little over a year, 1,700 partners. So I think the first thing a partner needs to do is they’ve gotta get on this AI bandwagon, and they’ve gotta be selling and positioning AI use cases to their customers, because that’s the only way they’re gonna get. [00:33:20] Jen Odess: Experience and an opportunity to see what it feels like to deliver. So we have to do that. And I think you could sell a big use case like that big, we talked north, south, east, west, you could do that whole thing. Brilliant. But you could also start small. Go pick a single use case. Like a really simple example of something you wanna, some work you wanna drive productivity on. [00:33:41] Jen Odess: Yeah. And make sure you’ve got multiple stakeholders that love it and then go drive proving that use case. That’s what we’re telling a lot of partners. That’s the first thing. The second is they have got to build skills on AI and they have to keep up with it. And so we’re trying to really think about our broader learning and development team at ServiceNow is just next level. [00:34:00] Jen Odess: And they’re really re-imagining how to have more real time bite size. Training and enablement that will help individuals keep up with that pace of innovation. So individuals have got to get skilled. Yes. On AI today, of that a hundred thousand or so individuals in the ecosystem right now, about 35% of those individuals hold one or more AI credential. [00:34:25] Jen Odess: Again, that’s in a little over a year, which is the fastest growing skill development we’ve ever had, but it should be a hundred percent. Yeah. All of our goals should be that every account is being sold ai. ’cause that’s where the customer’s gonna get to value a ServiceNow is if they have the AI capabilities. [00:34:40] Jen Odess: And [00:34:41] Vince Menzione: how are you providing enablement and training? Is it all online? It’s, we have [00:34:44] Jen Odess: all sorts of ways of doing it. So that we have ServiceNow University, which is just a really robust, learning platform. Elba is our professor in residence. Very cool. Which is very cool. And they’re all content. [00:34:57] Jen Odess: Is free to partners. The training is free to partners that is on demand. Beyond that, partners can still get, instructor led training, whether that’s in person or virtual. And then my team offers enablement. That’s a little bit more, it’s like not formal training, it’s more like hands-on labs and experiences. [00:35:17] Jen Odess: We bring in lots of groups that sit around me that help and we very cool hands on with partners face-to-face. And do you do an annual event where you bring all these partners together? No, because we do we have three major milestones a year for partners. So the first is at sales kickoff, which is coming up the third week in January. [00:35:33] Jen Odess: And alongside sales kickoff is partner kickoff. Okay. And so we do a whole day of enabling them. So that’s your [00:35:39] Vince Menzione: partner kickoff? [00:35:40] Jen Odess: That’s partner kickoff. But of the, of all the partners in the ecosystem, it’s not like they can all make it. So we still also record and then live stream some of the content there. [00:35:49] Jen Odess: Then at Knowledge, there’s a whole partner track at Knowledge and same concept. Yeah, it’s like it’s all about customers and we wanna, build as much pipeline and wow as many customers as possible, but we also need to help our partners come along the journey. Then the third and final moment is in September, always, and it’s called our Global Partner Ecosystem Summit. [00:36:08] Jen Odess: We should have you, I’d love to join this next year. I love that. And it’s really, that’s the one time if sales kickoff is all about the sales motion in the field and knowledge is all about the customers and getting customers value. Global Partner Ecosystem Summit is only about the partners, what they need, why they need it, and what we’re doing to make their lives easier. [00:36:28] Jen Odess: I love it. Yeah. I’ll be there September. I love it. Dates yet set yet? I have to, it’s getting locked. I’ll get it to you. [00:36:34] Vince Menzione: Okay. All right. I’ll, we’ll be there. Okay. So you’ve been incredible. I just love having you. We could spend hours, honestly, and I want to have you back here. I’d love to, I have you back for a more meaningful conversation with the hyperscalers. [00:36:45] Vince Menzione: Talk to some of the partners that join us at Ultimate Partner events. We’ll find a way to do that, but I have this one question. It’s a favorite question of mine, and I love to ask all my guests this. Okay. You’re hosting a dinner party. And you could host a dinner party anywhere in the world. We could talk about great locations and where your favorite places are, and you can invite any three guests from the present or the past to this amazing dinner party. [00:37:11] Vince Menzione: We had one guest who wanted to do them in the future, like three people that hadn’t reached a future date. Whom would you invite Jen and why? [00:37:21] Jen Odess: Oh, first of all, you’re hitting home for me because I love to host dinner parties. I actually used to have a catering company. This is like one of those weird facts that, we didn’t talk about my pre services and ecosystem days, but I also had a catering company, so I love cooking and hosting dinner parties. [00:37:38] Jen Odess: So this is a great question. I feel like it’s a loaded question and I have to say my spouse. I love my husband dearly, but I have. To invite Lee to my dinner party. Okay. He’s in [00:37:47] Vince Menzione: Lee’s guest number one. Lee’s [00:37:49] Jen Odess: guest, number one. And the reason why is, first of all, I love him dearly, but he’s super interesting and he has such thought provoking topics to, to discuss and ways of viewing the world. [00:38:00] Jen Odess: He’s actually in security tech, so it’s like a tangential space, but not the same. [00:38:05] Vince Menzione: Yeah. But an important space right now, especially. Yeah. And [00:38:07] Jen Odess: he, yeah. And he’s, he’s just a delight to be around. So he’d be number one. Number two would be Frank Lloyd Wright. [00:38:15] Vince Menzione: Frank. Lloyd Wright. [00:38:17] Jen Odess: Yeah. I am an architecture and design junkie. [00:38:21] Jen Odess: Maybe I don’t do any of it myself, though. I dabble with friends that do it, and I try to apply it to my home life when I can. And Frank Lloyd Wright sort of embodies some of my favorite. Components of any kind of environment that you are experiencing, whether it’s a home or it’s an office building or it’s an outdoor space. [00:38:39] Jen Odess: I love the idea of minimalism and simplicity. I love the idea of monochromatic colors. I love the idea of spaces that can be used for multipurpose. And then I love the idea of the outside being in and the inside being out. I love it. So I would like love to pick his brain on some of his, how he came up with some of his ideas. [00:38:59] Jen Odess: Fascinating for some of his greatest. Yeah. Designs. Okay. That’s number two. Number three, I think it would be Pharrell Williams. Really? Yeah, I, Pharrell Williams. Yeah. I love fashion music and all things creativity. He’s got that, Annie’s philanthropic. He’s just yeah. The whole package of a good person. [00:39:26] Jen Odess: That’s super interesting and I very cool. I would love to pick his brain on what it was like to be behind the scenes on some of the fashion lines he’s collaborated with on some of his music collabs he’s had, and then just some of the work he’s doing around philanthropy. I would. I could just spend all night probably listening to him. [00:39:43] Jen Odess: This would be a [00:39:44] Vince Menzione: really cool conversation night. [00:39:45] Jen Odess: Don’t you wanna come to my dinner? Was gonna say, I’m sorry I didn’t invite you to identify. No [00:39:49] Vince Menzione: I was, can I bring dessert? [00:39:50] Jen Odess: Yeah. I come [00:39:50] Vince Menzione: for dessert. I, but it can’t, [00:39:51] Jen Odess: it has to be like a chocolate dessert. It’s gotta have [00:39:54] Vince Menzione: I love chocolate dessert. [00:39:55] Vince Menzione: Okay, great. So it would not be a problem for me, Jen. This is terrific. You have been absolutely amazing. So great to have you come here. Yeah. Such a busy time of year to have you make the trip here to Boca. We will have you back in the studio. I promise that I’ll have you back on stage. Stage. [00:40:10] Jen Odess: This is beautiful. [00:40:10] Jen Odess: Look at it. Yeah. This is [00:40:11] Vince Menzione: beautiful. And we transformed this into, to a room, basically a conference room. And then we also have our ultimate partner events. I would love to come, we would love to have you join us. Like I said, ServiceNow is such an impactful time. Your leadership in this segment market, and I wouldn’t say segment across all of AI in terms of all the use cases of AI is just so meaningful, especially for within the enterprise. [00:40:33] Vince Menzione: Yeah. Right now. So just really a jogger nut right now within the industry. So great to have you and have ServiceNow join us. So Jen, thank you so much for joining us. [00:40:42] Jen Odess: Thanks Vince. Appreciate the time. It’s a pleasure to be here. [00:40:44] Vince Menzione: Thank you very much. Thanks for tuning into this episode of Ultimate Eye to Partnering. [00:40:50] Vince Menzione: We’re bringing these episodes to you to help you level up your strategy. If you haven’t yet, now’s the time to take action and think about joining our community. We created a unique place, UPX or Ultimate partner experience. It’s more than a community. It’s your competitive edge with insider insights, real-time education, and direct access to people who are driving the ecosystem forward. [00:41:16] Vince Menzione: UPX helps you get results. And we’re just getting started as we’re taking this studio. And we’ll be hosting live stream and digital events here, including our January live stream, the Boca Winter Retreat, and more to come. So visit our website, the ultimate partner.com to learn more and join us. Now’s the time to take your partnerships to the next level.
AI Quick-Take: What's All The Fuss About Gemini? On this episode host Adam Turinas discusses the buzz around Gemini 3, Google's LLM. He digs into Google's big announcement and tries to get past the hype to what it really means for healthtech marketers. Find all of our network podcasts on your favorite podcast platforms and be sure to subscribe and like us. Learn more at www.healthcarenowradio.com/listen/
What does it actually take to move machine learning from experiments into production reliably, responsibly, and at scale?In this episode of Alexa's Input (AI), Alexa talks with Maria Vechtomova, co-founder of Marvelous MLOps and an O'Reilly author-in-progress on MLOps with Databricks. Maria shares how her background in data science led her into MLOps, and why most teams struggle not because of tools, but because of missing processes, traceability, and shared understanding across teams.Alexa and Maria dive into what separates good MLOps from fragile deployments, why shipping notebooks as “production” creates long-term pain, and how traceability across code, data, and environment forms the foundation for reliable ML systems. They also explore how LLM applications are reshaping MLOps tooling, and where the biggest skill gaps still exist between platform, data, and AI engineers.A must-listen for anyone building, operating, or scaling machine learning systems and for teams trying to make MLOps less magical and more marvelous.Learn more about Marvelous MLOps and Maria's work below.LinksWatch: https://www.youtube.com/@alexa_griffithRead: https://alexasinput.substack.com/Listen: https://creators.spotify.com/pod/profile/alexagriffith/More: https://linktr.ee/alexagriffithWebsite: https://alexagriffith.com/LinkedIn: https://www.linkedin.com/in/alexa-griffith/Find out more about the guest at:LinkedIn: https://www.linkedin.com/in/maria-vechtomova/TakeawaysMaria started as a data analyst and transitioned into MLOps.She emphasizes the importance of tracking data, code, and environment in MLOps.MLOps is a practice to bring machine learning models to production reliably.Good deployment processes require modular code and proper tracking.MLOps differs from DevOps due to the complexities of data and model drift.Education is crucial for bridging gaps between teams in AI.Small steps can lead to better MLOps practices.Scaling MLOps requires understanding the unique data of different brands.The rise of LLMs is changing the MLOps landscape.Effective teaching methods involve step-by-step guidance.Chapters00:00 Introduction to MLOps and Maria's Journey02:11 Maria's Path to MLOps and Knowledge Sharing04:41 The Importance of MLOps in AI Deployments10:12 Defining MLOps and Its Challenges11:38 MLOps vs. DevOps: Key Differences13:00 Overcoming Stagnation in MLOps16:04 Small Steps Towards Better MLOps Practices19:29 Scaling MLOps in Large Organizations21:58 The Impact of LLMs on MLOps23:58 The Shift from Traditional ML to AI Applications26:51 Evolving Roles in AI Engineering28:33 Databricks: A Comprehensive AI Platform31:45 Future of AI Platforms and Regulations34:26 Bridging Skill Gaps in AI Teams38:42 The Importance of Context in AI Development40:40 Foundational Skills for MLOps Professionals45:43 Integrating Personal Passions with Professional Growth47:30 Building Impactful AI Communities
Så blev det filosofisk i den mørke tid. Thomas lancerer en tankerække, tilmed i sonateform, om hvorvidt LLM'erne, de store sprogmodeller, og anden generativ AI ændrer ved den måde, vi kan udtrykke os intellektuelt og kunstnerisk på. Et skifte fra en additiv fremstillingsproces til en subtraktiv. Kan generativ AI levere råmateriale, der gennem menneskelig kuratering og formning kan blive til værker, måske endda kunst? Og kan generativ AI give dem, der ikke nødvendigvis har let ved den lange, hårde, additive proces med at skabe et værk på skrift eller med strøg på et lærred en vej til udtryk? Har der indtil videre i hele vores idé- og kunsthistorie eksisteret et filter, så kun dem med både noget på hjerte, en ubændig trang og en form for nydelse ved skrive-, kompositions-, male- eller byggeprocessen etc. kunne komme ud med det, der pressede på? Med andre ord: Kan alt det skidt, der kan komme ud af en LLM, kurateres, formes og bruges til noget værdifuldt af mennesker? Kan man “pølse en vase op” af tokens?**** Nu også på YouTube — hvis du bedst kan lide din podcast med uden video. https://youtube.com/@silberblom **** Hvem betaler for Silberbauer & Blomseth? Det gør vi selv. Vores indhold er på ingen måde egnet til sponsorer eller reklamer for proteinpulver, VPN-forbindelse eller e-bøger. Så hosting, udstyr og alt det der er på egen regning. Det eneste vi beder om til gengæld (hvis du altså kan lide det, vi laver) er at du smider stjerner, og måske oven i købet en lille anbefaling, efter os på Apple Podcast. Det betyder alverden. Vi higer jo allesammen efter anerkendelse i en eller anden form. Husk at følge os på Bluesky (@silberblom) Linktree
Send us comments, suggestions and ideas here! In this week's episode we unzip the hidden file on the bonus floppy disk that came with the Necronomicon, upload its contents directly to the miniature astral hard drive hidden inside our pineal glands and begin installing Chaos Magick #6 an instruction manual on Technomancy 101 also known as the weird art and science of Cyber Magick! In the first half of the show we discuss the overlap between technology and magick, the promise and threat of AI gods and retrocausality. In the extended half of the show we talk shop about making AI sigils (do they even work?) and how to use the Cosmic Control Terminal like an ultra dangerous chaos magick hacker edge lord, like me. Thank you and enjoy the show!In this week's episode we discuss:Arthur C. Clark's Three LawsTrick Rock Into ThinkingState of the ArtDoes AI have Ka?Peter Carroll's PsybermagickJoshua Madera's Technomancy 101In the extended show available at www.patreon.com/TheWholeRabbit we further down the rabbit hole to discuss:The Hacker Method // Cosmic Control TerminalAstral AI SigilsVirtual Reality MagickAI as a Lovecraftian DeityGhost In the Shell Each host is responsible for writing and creating the content they present. Luke in red, Heka in purple, Tim in black-green, Mari in blue.Where to find The Whole Rabbit:Spotify: https://open.spotify.com/show/0AnJZhmPzaby04afmEWOAVInstagram: https://www.instagram.com/the_whole_rabbitTwitter: https://twitter.com/1WholeRabbitOrder Stickers: https://www.stickermule.com/thewholerabbitOther Merchandise: https://thewholerabbit.myspreadshop.com/Music By Spirit Travel Plaza:https://open.spotify.com/artist/30dW3WB1sYofnow7y3V0YoSources:Peter Carroll's Blog:https://www.specularium.org/blogTechnomancy 101, Joshua Madera:https://technomancy101.com/Psybermagick, Peter Carroll:https://www.amazon.com/PsyberMagick-Advanced-Ideas-Chaos-Magick/dp/1935150650Support the show
Jim sits down with Sean Luke (Partner at SPMB Executive Search) to talk about the art of hiring senior engineering and product leaders—especially now that every job description on Earth has "AI" duct-taped to it. We get into why sticking with one great search firm beats "random recruiter roulette," why tech interviewing is tough (spoiler: engineers aren't always born interviewers), and the eternal tension between the two key roles - CTO (big brain science/vision) and VP Engineering (keep the trains running, preferably on the tracks). Then it's on to the AI gold rush: what a normal Head of Engineering should actually be doing with AI (hint: practical stuff like code review, QA, automation), why "Head of AI" is usually a totally separate job, and why "10 years of LLM experience" belongs in the same bin as Web3 buzzword soup. We also cover who's moving jobs right now, why PE can feel like a saner bet than venture (less "moonshot," more "actual exit"), and what candidates must be able to explain: what you did, and how it moved the business—numbers included. Plus: a few recruiting war stories, including the kind you can't make up and the kind that makes you grateful for a boring Tuesday.
In this episode of Crazy Wisdom, I—Stewart Alsop—sit down with Garrett Dailey to explore a wide-ranging conversation that moves from the mechanics of persuasion and why the best pitches work by attraction rather than pressure, to the nature of AI as a pattern tool rather than a mind, to power cycles, meaning-making, and the fracturing of modern culture. Garrett draws on philosophy, psychology, strategy, and his own background in storytelling to unpack ideas around narrative collapse, the chaos–order split in human cognition, the risk of “AI one-shotting,” and how political and technological incentives shape the world we're living through. You can find the tweet Stewart mentions in this episode here. Also, follow Garrett Dailey on Twitter at @GarrettCDailey, or find more of his pitch-related work on LinkedIn.Check out this GPT we trained on the conversationTimestamps00:00 Garrett opens with persuasion by attraction, storytelling, and why pitches fail with force. 05:00 We explore gravity as metaphor, the opposite of force, and the “ring effect” of a compelling idea. 10:00 AI as tool not mind; creativity, pattern prediction, hype cycles, and valuation delusions. 15:00 Limits of LLMs, slopification, recursive language drift, and cultural mimicry. 20:00 One-shotting, psychosis risk, validation-seeking, consciousness vs prediction. 25:00 Order mind vs chaos mind, solipsism, autism–schizophrenia mapping, epistemology. 30:00 Meaning, presence, Zen, cultural fragmentation, shared models breaking down. 35:00 U.S. regional culture, impossibility of national unity, incentives shaping politics. 40:00 Fragmentation vs reconciliation, markets, narratives, multipolarity, Dune archetypes. 45:00 Patchwork age, decentralization myths, political fracturing, libertarian limits. 50:00 Power as zero-sum, tech-right emergence, incentives, Vance, Yarvin, empire vs republic. 55:00 Cycles of power, kyklos, democracy's decay, design-by-committee, institutional failure.Key InsightsPersuasion works best through attraction, not pressure. Garrett explains that effective pitching isn't about forcing someone to believe you—it's about creating a narrative gravity so strong that people move toward the idea on their own. This reframes persuasion from objection-handling into desire-shaping, a shift that echoes through sales, storytelling, and leadership.AI is powerful precisely because it's not a mind. Garrett rejects the “machine consciousness” framing and instead treats AI as a pattern amplifier—extraordinarily capable when used as a tool, but fundamentally limited in generating novel knowledge. The danger arises when humans project consciousness onto it and let it validate their insecurities.Recursive language drift is reshaping human communication. As people unconsciously mimic LLM-style phrasing, AI-generated patterns feed back into training data, accelerating a cultural “slopification.” This becomes a self-reinforcing loop where originality erodes, and the machine's voice slowly colonizes the human one.The human psyche operates as a tension between order mind and chaos mind. Garrett's framework maps autism and schizophrenia as pathological extremes of this duality, showing how prediction and perception interact inside consciousness—and why AI, which only simulates chaos-mind prediction, can never fully replicate human knowing.Meaning arises from presence, not abstraction. Instead of obsessing over politics, geopolitics, or distant hypotheticals, Garrett argues for a Zen-like orientation: do what you're doing, avoid what you're not doing. Meaning doesn't live in narratives about the future—it lives in the task at hand.Power follows predictable cycles—and America is deep in one. Borrowing from the Greek kyklos, Garrett frames the U.S. as moving from aristocracy toward democracy's late-stage dysfunction: populism, fragmentation, and institutional decay. The question ahead is whether we're heading toward empire or collapse.Decentralization is entropy, not salvation. Crypto dreams of DAOs and patchwork societies ignore the gravitational pull of power. Systems fragment as they weaken, but eventually a new center of order emerges. The real contest isn't decentralization vs. centralization—it's who will have the coherence and narrative strength to recentralize the pieces.
Hackaday Editors Elliot Williams and Al Williams met up to cover the best of Hackaday this week, and they want you to listen in. There were a hodgepodge of hacks this week, ranging from home automation with RF, volumetric displays in glass, and some crazy clocks, too. Ever see a typewriter that uses an ink pen? Elliot and Al hadn't either. Want time on a supercomputer? It isn't free, but it is pretty cheap these days. Finally, the guys discussed how to focus on a project like Dan Maloney, who finally got a 3D printer, and talked about Maya Posch's take on LLM intelligence. Check out the links over on Hackaday if you want to follow along, and as always, tell us what you think about this episode in the comments!
In this bonus episode of Banking on Fraudology, powered by Safeguard , Hailey Windham talks with Ben Graf, a self-taught AI expert in the neobank space. Ben embodies the spirit of curiosity and courage driving the next wave of fraud-fighting transformation.The conversation dives into what it really looks like to learn AI from the ground up, emphasizing that the future of fraud prevention isn't about replacing people, but empowering them through technology.Key Takeaways: AI, Innovation, and Fraud-Fighting EmpowermentUsing AI to Learn AI: Ben explains how he used varying LLM chats (like ChatGPT, Claude, and Gemini) as a coach or mentor, experimenting for hours to understand their capabilities, consistency, and how to effectively prompt them.This approach helped him translate technical language and practices (like data analysis, SQL, and JavaScript) into actionable knowledge for his team, breaking down communication barriers.The hardest part was knowing where to start, but the key was realizing that "something is better than nothing" and compounding knowledge quickly breaks down barriers.Practical AI Applications for Eliminating Busy Work: AI should be used to make teams more efficient and help professionals focus strategically.Automating Document Verification: AI can use OCR to pull data, flag inconsistencies, and serve up summaries for identity, business, and income documents, which are often the most time-consuming parts of a review.Data Retrieval and System Silos: AI can help team members write their own SQL queries to retrieve data from data warehouses, dramatically reducing requests to the data team.Product and Feature Proposals: AI tools can mock up full dashboard concepts and even provide code snippets to give engineers a visual and break down communication barriers between fraud and technical teams.The Power of Empowerment and Buy-In: Leadership should create a culture where fraud fighters are empowered to explore and innovate.The magic of time savings lies in filling the time freed from "busy work" (like false positives) with new, high-impact tasks, whether that's cost savings in fraud loss or better customer retention.Teams are advised to keep proprietary or PII information out of the loop and find safe spaces to explore, remembering that everyone is still figuring out what AI can do.Get in the mood of being grateful for the fraud-fighting community, and be reminded of how strong the fraud-fighting community truly is. About Hailey Windham:As a 2023 CU Rockstar Recipient, Hailey Windham, CFCS (Certified Financial Crimes Specialist) demonstrated unbounding passion for educating her community, organization and credit union membership on scams in the market and best practices to avoid them. She has implemented several programs within her previous organizations that aim at holistically learning about how to prevent and detect fraud targeted at membership and employees. Windham's initiatives to build strong relationships and partnerships throughout the credit union community and industry experts have led to countless success stories. Her applied knowledge of payments system programs combined with her experience in fraud investigations offers practical concepts that are transferable, no matter the organization's size. Connect with Hailey on LinkedIn: https://www.linkedin.com/in/hailey-windham/
Comme grands névrosés, les IA font-elles de bons thérapeutes ? De bons responsables politiques ? On fait la revue des modèles de la semaine et une revue du matériel de la tech du moment dans cet épisode de podcast tech, avec la hausse du prix de la mémoire vive. On observe aussi comment les États-Unis voudraient gagner en indépendance vis-à-vis de l’européen ASML pour construire des appareils capables de graver les processeurs de demain. Nouveau : offrez un abonnement Patreon pour Noël : techcafe.fr/cadeau Patreon YouTube Discord Modèles de la semaine Kling O1 et le bon son. Neural Remaster, Ultra Image, LATTICE et RELIC Nano banana, la beauté de l'imperfection. Dans un océan de fake, la réponse c'est… la PSP. L'IA peut nous influencer politiquement. Moi, je voterais pour elle. En tant que grands névrosés, les LLM font pas de bons thérapeutes. Ça va ramer Aux Ram citoyens, pleurez configurations ! Un choc qui restera dans les mémoires… La Chine passe au 5nm, va-t-on acheter ? Partenaire particulé : ça s'accélère E pluribus unum : share moment share life avec Hodak. Ils plient mais ne rompent pas. Réforme des retraites chez Apple. Pour votre sécurité, soyez Reactif. Participants Une émission préparée par Guillaume Poggiaspalla Présenté par Guillaume Vendé
Financial Advisor, Lisa Clements from Kansas joins The Next 100 Days podcast to talk about marketing herself as a financial advisor to single women executives.Summary of PodcastIntroductions and Casual ConversationGraham and Kevin welcome Lisa, a financial advisor from Kansas City, to the Next 100 Days podcast. They engage in some lighthearted banter about topics like the lottery, buying slippers, and Lisa's dog before transitioning to the main discussion.Lisa's Background and MotivationLisa shares her journey of leaving a high-powered corporate job. She went from Silicon Valley to return to Kansas City and start her own financial advisory firm. Her focus? single women. She discusses the challenges she faced as an independent woman managing her finances. Lisa wants to provide that support to others in similar situations.Lisa's Approach and QualificationsLisa explains that she has obtained various financial certifications and accreditations. These are so she can provide comprehensive, holistic financial advice to her clients. She emphasises her desire to be a trusted "friend" to her clients. In this way, she guides them through important decisions while respecting their autonomy.Marketing and Reaching the Target AudienceGraham and Kevin provide insights on Lisa's marketing strategy. They discuss the importance of understanding her ideal client, leveraging informational interviews to shape her approach, and exploring educational webinars and content to reach a broader audience beyond her local client base.Potential Business ExpansionThe discussion explores the possibility of Lisa expanding her business beyond her initial 50-client target, potentially through educational initiatives or a virtual/online presence. Kevin and Graham encourage Lisa to consider how her passion for coaching and educating could be leveraged to help more women, while maintaining the personalized service she values.Recap and Closing ThoughtsGraham and Kevin express their appreciation for Lisa's participation and provide some final thoughts, wishing her continued success in her endeavors. They also discuss upcoming guests and topics for future episodes of the podcast.The Next 100 Days Podcast Co-HostsGraham ArrowsmithGraham founded Finely Fettled ten years ago to help business owners and marketers market to affluent and high-net-worth customers. He's the founder of MicroYES, a Partner for MeclabsAI, where he introduces AI Agents that you can talk to, that increase engagement, dwell time, leads and conversions. Now, Graham is offering Answer Engine Optimisation that gets you ready to be found by LLM search.Kevin ApplebyKevin specialises in finance transformation and implementing business change. He's the COO of GrowCFO, which provides both community and CPD-accredited training designed to grow the next generation of finance leaders. You can find Kevin on LinkedIn and at kevinappleby.com
Algorithms and automations have been buds for a decade plus.
I have a special treat for everyone with this new mix. It's a guest mix from friend of Low Light Mixes, Andy McNeill. Andy records as Maple Mountain Sunburst and has created two previous mixes for LLM and they are both excellent. You can find them here: http://lowlightmixes.blogspot.com/2024/10/a-moon-full-of-stars-and-astral-cars-by.html https://lowlightmixes.blogspot.com/2025/01/we-did-it-again-by-andy-mcneillmaple.html Andy has a new album out, under his own name, that is a little different from his other recordings. That new album is the inspiration for this new mix which is really something special. I'll let Andy tell you about it: "Mallets, gongs, tintinnabulations, things that go ping. Here we have a mix of percolating exotica to float away on for an hour. I've included three tracks from a recent collaboration with percussionist and fellow composer Bill Brennan. Our album Dreaming In Gamelan blends West Javanese gamelan traditions with contemporary ambient electronics. Recorded with traditional hand-forged bronze instruments, the tracks were then augmented and treated in the studio. Also joining us was the brilliant electric violinist and sonic explorer Hugh Marsh. The album was mixed for immersive Dolby Atmos by Ron Searles (Atmos version available on Apple Music, Tidal, Amazon)." https://lnk.to/dreamingingamelan https://brennanmcneill.bandcamp.com/album/dreaming-in-gamelan Thanks to Andy for curating and mixing this great collection tracks. And thanks for the excellent new album. LINKS TO ALL THE MUSIC USED IN THIS MIX: Bill Brennan and Andy McNeill - Tunnels of Light https://lnk.to/dreamingingamelan another fine day - Child's Play https://anotherfineday.bandcamp.com/album/a-good-place-to-be Peter Gabriel - Slow Marimbas (from Birdy soundtrack) https://open.spotify.com/album/6ZTQcgutsPhQ50FRZk3BYl?si=Af0sn6YnTaq84N4kJPk1ug Thomas Newman - Bullet (from White Oleander soundtrack) https://open.spotify.com/album/76i4SD0LNBtIZtAumvcJsS?si=mAj14pOYTYqT8_QS-S8h1Q Genesis - The Waiting Room (excerpt) https://open.spotify.com/album/49BxISwAbZZfmlhqD6Vh88?si=91fRitQ_QPK6Uh5GHyNb7w Wanderwelle - An Offering of Gratitude https://silentseason.bandcamp.com/album/gathering-of-the-ancient-spirits Bill Brennan and Andy McNeill - Morning Beams https://lnk.to/dreamingingamelan Thomas Stronen - Confronting Silence https://open.spotify.com/album/6xEg7P0N3edYKhptbNxo5c?si=ZCwZBplZRdeT_vaWWooXnQ Michael Brook - Distant Village https://open.spotify.com/album/7t48EroHL8dzsBTdUS3pRp?si=Q7PfBPDGQxCfXI-wvtXv0w Connecta Quartet - Madeira River (P.Glass) https://open.spotify.com/album/4h0827roLiZ3IDt4UK6MfS?si=7hAx96RaQnSn-i42L3bUBA another fine day - green thought (in green shade) https://anotherfineday.bandcamp.com/album/life-before-land Bartosz Kruczyński - Dream 1 https://earthtraxonline.bandcamp.com/album/dreams-whispers Shuta Yasukochi - Sakura https://shutayasukochi.bandcamp.com/album/harmonies-of-flowers Marilyn Masur - Bell-Painting https://open.spotify.com/album/5HZk4QJRTXSQaauqz5SHAL?si=WbplnlyZRYydr9vaWBiTSw Four Tet - Lush https://fourtet.bandcamp.com/album/new-energy Jon Hassell - Time and Place https://open.spotify.com/album/6p97ys8xZeV60gh427TwMz?si=o8f6zwf7SNiDkBdp-IYnGw Boston Modern Orchestra Project - Suite for Violin with American Gamelan - III. Air (Lou Harrison) https://bmopsound.bandcamp.com/album/lou-harrison-la-koro-sutro Pierre Favre Ensemble - Frog Songs (excerpt) https://open.spotify.com/album/4i3JU3zB3PfVceKEq89mx7?si=GI0PfPDbRsG4pHCXpCdOgw Marilyn Masur - Spirit Of Air (excerpt) https://open.spotify.com/album/5HZk4QJRTXSQaauqz5SHAL?si=WbplnlyZRYydr9vaWBiTSw Four Tet - You Were There With Me (excerpt) https://open.spotify.com/album/2BKXRpAaq7jZStXo6A10qK?si=kfBOKOGwR_-uWyseYAk-kQ Bill Brennan and Andy McNeill - Reverie https://lnk.to/dreamingingamelan Cheers! T R A C K L I S T : 00:00 Bill Brennan and Andy McNeill - Tunnels of Light (Dreaming In Gamelan 2025) 02:35 another fine day - Child's Play (a good place to be 2015) 07:03 Peter Gabriel - Slow Marimbas (Birdy soundtrack 1985) 10:01 Thomas Newman - Bullet (White Oleander soundtrack 2002) 10:31 Genesis - The Waiting Room excerpt (The Lamb Lies Down On Broadway 1974) 11:15 Wanderwelle - Her Name is Vairumati (Gathering of the Ancient Spirits 2018) 16:13 Bill Brennan and Andy McNeill - Morning Beams (Dreaming In Gamelan 2025) 19:07 Thomas Stronen - Confronting Silence (Relations 2024) 19:23 Michael Brook - Distant Village (Hybrid 1985) 23:15 Connecta Quartet - Madeira River (P. Glass) (Pulse And Echoes 2024) 28:10 another fine day - green thought (in green shade) (life before land 1994) 34:18 Bartosz Kruczyński - Dream 1 (Dreams & Whispers 2024) 37:20 Shuta Yasukochi - Sakura (Harmonies of Flowers 2024) 39:47 Marilyn Masur - Bell-Painting (Elixir 2008) 40:19 Four Tet - Lush (New Energy 2017) 43:40 Jon Hassell - Time and Place (Last Night The Moon Came Dropping Its Clothes In The Street 2009) 47:17 Boston Modern Orchestra Project - Suite for Violin with American Gamelan - III. Air (Lou Harrison) (La Koro Sutro 2014) 50:37 Pierre Favre Ensemble - Frog Songs excerpt (Singing Drums 1984) overlayed with Marilyn Masur - Spirit Of Air excerpt (Elixir 2008) 52:02 Four Tet - You Were There With Me excerpt (Everything Ecstatic 2005) 55:22 Bill Brennan and Andy McNeill - Reverie (Dreaming in Gamelan 2025) 1:05:29 end
На тлі глобального буму ШІ українські компанії теж активно випускають свої продукти зі штучним інтелектом. Україна навіть розробляє власну мовну модель (LLM). Втім вже зараз бізнесу не вистачає профільних фахівців з фундаментальною підготовкою. Подробиці – у новому епізоді подкасту Найцікавіші тексти NV. Більше озвучених текстів – у розділі Аудіоверсії матеріалів на сайті NV за підпискою.
I figured it was about time I addressed this one. You can’t breathe without taking in some serious AI hype right now. How much is fluff and smoke, and how much is real? AND…how will this apply to Agile? Will AI Save Agile? Great question. I have a few gut-level reactions to this. First, I think there’s a gold-rush feel to what’s going on right now. With any new technology, especially the monumental ones, there’s always speculation that this ‘changes the game forever’. But that can’t always be true. On the one hand, AI has a lot of issues. But its early stages. I think the biggest threat is the unbridled greed that goes with mass adoption. Who’s regulating the copyrights of the material AI is trained on? Who makes sure that AI doesn’t recommend or do dangerous or immoral things? But the big question I have is “why would you want so much stuff created by robots?” I can’t articulate why, but I know I don’t want to read a book or watch a play written and mounted by robots. And hey, if LLM’s need our inventions to grow, learn and innovate, what happens when we no longer create ‘things’? AI’s Role in Agility As of this writing, so much of the conversation is about using AI to take the rote tasks out of a Scrum Master’s day…preparing reports or briefs, summarizing retrospectives, and writing user stories. But there’s also discussion that maybe AI can replace Scrum Masters and Coaches. That’s a little scary for those of us who hold or want to occupy these roles in the future. So maybe someday AI can plan our sprints, produce empirical estimates, and even hold coaching conversations. But Will AI Save Agile? That supposes that the solution to all of our current Agile pains have a known solution. After all, we can’t code or teach things that we have no certain knowledge of. And until we do, it would impossible for AI to magically fix what’s wrong with Agile in 2026. That’s still very much a human concern. Stay tuned – I’ll be exporing more about AI’s role in the future of Agile in some upcoming episodes as I learn more… **THE ALL NEW FORGE LIGHTNING** 12 Weeks to elite leadership! https://learning.fusechamber.com/forge-lightning **CREATE A PROFITABLE BUSINESS FROM YOUR AGILE SKILLS WITH FORGE GENESIS** Everything you need to ideate, validate, market, and sell to enterprise OR consumers. https://learning.fusechamber.com/the-forge-genesis **JOIN MY BETA COMMUNITY FOR AGILE ENTREPRENEURS AND INTRAPRENEURS** The latest wave in professional Agile careers. Get the support you need to Forge Your Freedom! Join for FREE here: https://learning.fusechamber.com/offers/Sa3udEgz **CHECK OUT ALL MY PRODUCTS AND SERVICES HERE:** https://learning.fusechamber.com **ELEVATE YOUR PROFESSIONAL STORYTELLING – Now Live!** The most coveted communications skill – now at your fingertips! https://learning.fusechamber.com/storytelling **JOIN THE FORGE*** New cohorts for Fall 2025! Email for more information: contact@badassagile.com **BREAK FREE OF CORPORATE AGILE!!*** Download my FREE Guide and learn how to shift from roles and process and use your agile skills in new and exciting ways! https://learning.fusechamber.com/future-of-agile-signup We’re also on YouTube! Follow the podcast, enjoy some panel/guest commentary, and get some quick tips and guidance from me: https://www.youtube.com/c/BadassAgile ****** Follow The LinkedIn Page: https://www.linkedin.com/showcase/badass-agile ****** Our mission is to create an elite tribe of leaders who focus on who they need to become in order to lead and inspire, and to be the best agile podcast and resource for effective mindset and leadership game. Contact us (contact@badassagile.com) for elite-level performance and agile coaching, speaking engagements, team-level and executive mindset/agile training, and licensing options for modern, high-impact, bite-sized learning and educational content. If you liked this episode, you should check out: Episode 240 – Why Big Agile Fails Non-Conformity is the Key To Your Agile Future Episode 151 – What's Next?
In this episode, Aydin sits down with Paul Xue, a self-described “vibe marketer” and former 3x CTO who now runs an AI-native Reddit growth agency. Paul explains why he believes any assumption you made about AI even three months ago is probably wrong today, and how that realization pushed him to pivot away from writing code as a long-term career.He walks through how his team ships production software where ~100% of the code is AI-generated, why 80% of the work now lives in planning and system design, and how new models like Claude Opus 4.5 and Gemini 3 let him literally “go for a walk” while his tools implement features. Along the way, Paul shares real numbers (two years of work vs 10–15 hours), what this means for agencies and devs, how he hires in an AI-native world, and gives a behind-the-scenes tour of the multi-agent workflows powering his Reddit content engine.Timestamps0:00 – Introduction1:01 – What a “vibe marketer” is and why Reddit is a power channel in the LLM era3:01 – From 3x CTO to Reddit-first entrepreneur: deciding coding isn't future-proof4:06 – GPT-3.5 + end of zero interest rates: when dev agency contracts fell off a cliff6:28 – Adoption curves: senior devs who still don't use AI and why personality matters7:57 – Running an AI-native shop where ~100% of production code is AI-generated9:48 – Two years vs 10–15 hours: Paul's personal 10x story on shipping an MVP12:04 – New development workflow: “plan mode” and spending 80% of time on specs18:17 – Claude Opus 4.5, Gemini 3, and “going for a walk” while AI finishes features23:30 – How $60K–$250K apps turn into weekend side projects with vibe coding tools27:12 – Hiring in the AI era: why pure “ticket-taking” devs won't survive35:12 – Inside an AI-native Reddit engine: n8n workflows, agents, Pinecone & OpenRouterTools & Technologies MentionedReddit – Primary growth and content channel; a highly trusted source for LLM training and citations.ChatGPT / GPT-3.5 – Early model that triggered Paul's realization that traditional coding careers would change.Claude 3.5 Sonnet & Claude 3.5 Opus / Opus 4.5 – Anthropic models Paul uses for long-running coding, planning, and browser automation.Gemini 3 – Google model Paul uses to quickly generate solid, familiar SaaS-style UI/UX ideas.Cursor – AI-native code editor that turns detailed “plans” into production code with one click.n8n – Automation platform that powers Paul's multi-step AI workflows for content creation and evaluation.Pinecone – Vector database storing each client's knowledge base for highly relevant Reddit responses.OpenRouter – Routing layer that lets Paul easily swap and test different language models over time.MCP (Model Context Protocol) – Framework he uses to give agents tool access (e.g., scraping Reddit, reading DBs).Notion – Fast prototyping environment to validate data models and workflows before writing custom code.Zapier – General automation glue in the earliest workflow experiments.Figma – Design tool, now increasingly AI-assisted, for UI/UX mockups.SpecCode – Tool Paul cites for vibe coding HIPAA-compliant applications.Anything – Mobile-focused “vibe coding” platform for building iOS/Android apps on your phone.Fellow – AI meeting assistant that joins meetings, produces summaries/action items, and acts as an AI chief of staff.Subscribe at thisnewway.com to get the step-by-step playbooks, tools, and workflows.
“…A successful agentic enterprise deployment means each of your departments are fundamentally different,” Salesforce's SVP of Product Marketing for AI Sanjana Parulekar says, as she joins Bloomberg Intelligence Senior Technology Analyst Anurag Rana to unpack what it really takes to scale Agentic AI beyond pilots: getting data AI-ready; adding context and governance; blending deterministic workflows with LLM reasoning via hybrid reasoning and monitoring cost and quality with observability tools. They also cover voice agents, cross-agent orchestration with MuleSoft Agent Fabric, model flexibility, change management, and real deployments.
Capabilities? Through the roof? Usage? Ground floor.Claude Agent Skills might be one of the most useful features of any front-end LLM. Yet....it's crickets in terms of chat around it. For this 'AI at Work on Wednesday' episode, we're breaking it down for beginners and will have you spinning up your own Claude Agent Skills in no time. Claude Skills: How to build Custom Agentic Abilities for beginners -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion:Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Claude Skills Agentic Features OverviewDifferences: Claude Skills vs. GPTs vs. GEMSModular Agentic Workflow File StructureStep-by-Step Guide: Building Claude SkillsClaude Skills YAML/Markdown Setup ProcessTesting and Validating Custom Claude SkillsAdvanced Capabilities: Executable Code & Sub-AgentsCommon Troubleshooting for Claude Skills CreationTimestamps:00:00 "Claude Skill Library Unveiled"06:27 "Claude Skills Explained"07:29 Custom GPTs and Gems Explained11:18 Claude Skills vs Projects17:31 "Refining Skill Triggers Effectively"20:17 "Beginner Cloud Skills Best Practices"23:39 "Preferring GPT and Memory Tools"25:54 "Saving Skill File Properly"28:09 Creating Skills on Claude33:43 "Creating AI News Searcher"35:36 Claude Skills Now Available37:39 "Optimizing Claude for Knowledge Tasks"41:05 "Skill Builder Library Access"Keywords:Claude skills, Claude agent skills, custom agentic abilities, large language model, agentic workflows, specialized tasks, coding capabilities, file creation, executable code, skills library, skill builder, skill creator, markdown file, skill.md, folder structure, YAML front matter, composable skills, modular instructions, automation, prompt engineering, skill triggers, skill testing, advanced features, API skill versioning, governance and efficiency,Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Vibe coding is dead simple. Head to AI.Studio/build to create your first app. Vibe coding is dead simple. Head to AI.Studio/build to create your first app.
In this episode, I sit down with Alvitta Ottley and Paul Parsons to recap everything that happened at the 2025 IEEE VIS Conference in Vienna. We talk about our experiences co-organizing the VisCom workshop, the surprising attendance, and the standout keynote from Moritz Stefaner. Alvitta shares insights on accessibility research and the surge of LLM-focused visualization papers, while Paul walks us through his award-winning work on design cognition and how practitioners develop ideas. We also reflect on the evolving identity of the visualization field, from methodological rigor to the role of practitioners, interdisciplinarity, and ethical tensions. It's a wide-ranging, candid conversation about where visualization research is headed — and what we hope to see next year in Boston.Subscribe to the PolicyViz Podcast wherever you get your podcasts.Become a patron of the PolicyViz Podcast for as little as a buck a monthCheck out the VIS website.Follow me on Instagram, LinkedIn, Substack, Twitter, Website, YouTubeEmail: jon@policyviz.com
Rubrik's GM of AI Dev Rishi, explains how 85% of enterprises are building agentic AI but lack frameworks to govern agents with production system access - and how Rubrik solves this gap!Topics Include:Dev Rishi explains Rubrik's evolution from data backup to cyber resilience company.Rubrik shifted focus after 2018 when ransomware became the primary business continuity threat.Recent investments center on AI features and security for enterprise data infrastructure.Rubrik's foundation understands organizational data, metadata, and identity access across all systems.Predabase acquisition brought generative AI and LLM platform capabilities into Rubrik's infrastructure.Rubrik Agent Cloud launched to address enterprise AI security and governance needs.180 enterprise conversations revealed AI risk frameworks block ROI, not technology challenges.Agents enable 10x productivity but create 10x damage potential in shorter timeframes.Most organizations struggle enforcing AI policies across AWS Bedrock, OpenAI, and third-party platforms.Agent Undo feature recovers from destructive AI actions using healthy backup snapshots.Three pillars for AI security: define policies, enforce across platforms, enable recovery.2026 will see enterprises shift from pilot agents to managing dozens in production.Participants:Dev Rishi – General Manager of AI, RubrikConnect with Rubrik and learn more here: https://www.rubrik.com/lp/events-hubSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/
OpenAI is (reportedly) in full panic mode.
Software Engineering Radio - The Podcast for Professional Software Developers
In this episode of Software Engineering Radio, Srujana Merugu, an AI researcher with decades of experience, speaks with host Priyanka Raghavan about building LLM-based applications. The discussion begins by clarifying essential concepts like generative vs. predictive AI, pre-training vs. fine-tuning, and the transformer architecture that powers modern LLMs. Srujana explains diffusion models and vision transformers, highlighting how multimodal AI is reshaping content creation. The conversation then moves to practical aspects—where LLMs make sense, where they don't, and a decision framework for evaluating use cases. They explore common application patterns such as retrieval-augmented generation (RAG) and agentic architectures, breaking down components like planners, orchestrators, memory, and tools. Key considerations for model selection, evaluation metrics, and safety guardrails are discussed in depth. The episode also touches on prompting strategies, automated prompt optimization, and emerging trends like multi-sensory AI and the "Internet of Senses." Finally, Srujana shares tips on staying current in a fast-moving AI landscape and emphasizes lifelong learning and curated knowledge sources.
Send us a textWhen Google's algorithm changes caused HubSpot's traffic to plummet 80%, most companies would have panicked.Aja Frost saw an opportunity.As Senior Director of Global Growth at HubSpot, Aja led the transformation that helped HubSpot not only recover—but become the most-cited CRM in generative AI results.In this episode of FUTUREPROOF., Jeremy Goldman sits down with Aja to talk about how the rules of discovery, demand, and digital visibility are being rewritten in real time—and why Answer Engine Optimization (AEO) may be the next big discipline marketers can't afford to ignore.They discuss:
Our 227th episode with a summary and discussion of last week's big AI news!Recorded on 12/05/2025Hosted by Andrey Kurenkov and Jeremie HarrisFeel free to email us your questions and feedback at contact@lastweekinai.com and/or hello@gladstone.aiRead out our text newsletter and comment on the podcast at https://lastweekin.ai/In this episode:Deep Seek 3.2 and Flux 2 release, showcasing advancements in open-source AI models for natural language processing and image generation respectively.Amazon's new AI chips and Google's TPUs signal potential shifts in AI hardware dominance, with growing competition against Nvidia.Anthropic's potential IPO and OpenAI's declared ‘Code Red' indicate significant moves in the AI business landscape, including high venture funding rounds for startups.Key research papers from DeepMind and Google explore advanced memory architectures and multi-agent systems, indicating ongoing efforts to enhance AI reasoning and efficiency.Timestamps:(00:00:10) Intro / Banter(00:02:42) News PreviewTools & Apps(00:03:30) Deepseek 3.2 : New AI Model is Faster, Cheaper and Smarter(00:23:22) Black Forest Labs launches Flux.2 AI image models to challenge Nano Banana Pro and Midjourney(00:28:00) Sora and Nano Banana Pro throttled amid soaring demand | The Verge(00:29:34) Mistral closes in on Big AI rivals with new open-weight frontier and small models | TechCrunch(00:31:41) Kling's Video O1 launches as the first all-in-one video model for generation and editing(00:34:07) Runway rolls out Gen 4.5 AI video model that beats Google, OpenAIApplications & Business(00:35:18) NVIDIA's Partners Are Beginning to Tilt Toward Google's TPU Ecosystem, with Foxconn Reportedly Securing TPU Rack Orders(00:40:37) Amazon releases an impressive new AI chip and teases an Nvidia-friendly roadmap | TechCrunch(00:43:03) OpenAI declares ‘code red' as Google catches up in AI race | The Verge(00:46:20) Anthropic reportedly preparing for massive IPO in race with OpenAI: FT(00:48:41) Black Forest Labs raises $300M at $3.25B valuation | TechCrunch(00:49:20) Paris-based AI voice startup Gradium nabs $70M seed | TechCrunch(00:50:10) OpenAI announced a 1 GW Stargate cluster in Abu Dhabi(00:53:22) OpenAI's investment into Thrive Holdings is its latest circular deal(00:55:11) OpenAI to acquire Neptune, an AI model training assistance startup(00:56:11) Anthropic acquires developer tool startup Bun to scale AI coding(00:56:55) Microsoft drops AI sales targets in half after salespeople miss their quotas - Ars TechnicaProjects & Open Source(00:57:51) [2511.22570] DeepSeekMath-V2: Towards Self-Verifiable Mathematical Reasoning(01:01:52) Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving MemoryResearch & Advancements(01:05:44) Nested Learning: The Illusion of Deep Learning Architecture(01:13:30) Multi-Agent Deep Research: Training Multi-Agent Systems with M-GRPO(01:15:50) State of AI: An Empirical 100 Trillion Token Study with OpenRouterPolicy & Safety(01:21:52) Trump signs executive order launching Genesis Mission AI project(01:24:42) OpenAI has trained its LLM to confess to bad behavior | MIT Technology Review(01:29:34) US senators seek to block Nvidia sales of advanced chips to ChinaSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
OpenAI has launched a code red.
We explore how digital PR, entity SEO, and shifting social algorithms shape reputation, discovery, and trust. Paige Donald explains why coherent signals across platforms now drive both reporter interest and AI overviews, and how to play the long game without chasing vanity metrics.• personal speech risk and employer brand alignment• entity identity across profiles and the knowledge graph• echo chambers, LinkedIn's niche pivot, and Reddit research• newsjacking with intent vs vanity metrics• LLM visibility, AI overviews, and third‑party authority• long‑game PR, reporter relationships, and useful measurement• analytics gaps and mapping content to real demand• trust recession and multi‑channel credibility• media training for executives and scalable video content• agile startups outpacing legacy brands onlineGuest Contact Information: Website: paigepr.comLinkedIn: linkedin.com/in/paigeprMore from EWR and Matthew:Leave us a review wherever you listen: Spotify, Apple Podcasts, or Amazon PodcastFree SEO Consultation: www.ewrdigital.com/discovery-callWith over 5 million downloads, The Best SEO Podcast has been the go-to show for digital marketers, business owners, and entrepreneurs wanting real-world strategies to grow online. Now, host Matthew Bertram — creator of LLM Visibility™ and the LLM Visibility Stack™, and Lead Strategist at EWR Digital — takes the conversation beyond traditional SEO into the AI era of discoverability. Each week, Matthew dives into the tactics, frameworks, and insights that matter most in a world where search engines, large language models, and answer engines are reshaping how people find, trust, and choose businesses. From SEO and AI-driven marketing to executive-level growth strategy, you'll hear expert interviews, deep-dive discussions, and actionable strategies to help you stay ahead of the curve. Find more episodes here: youtube.com/@BestSEOPodcastbestseopodcast.combestseopodcast.buzzsprout.comFollow us on:Facebook: @bestseopodcastInstagram: @thebestseopodcastTiktok: @bestseopodcastLinkedIn: @bestseopodcastConnect With Matthew Bertram: Website: www.matthewbertram.comInstagram: @matt_bertram_liveLinkedIn: @mattbertramlivePowered by: ewrdigital.comSupport the show
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