Podcasts about agentic

January marked a clear break between the AI era people thought they were in and the one that actually arrived. Agentic coding crossed from novelty to default, tools like Claude Code reset expectations for what individuals can build, and systems such as OpenClaw and Moltbook showed how quickly agents are becoming ecosystems, not just features. This episode explains why the shift felt sudden, why it caught so many off guard, and why the real story isn't sentient agents but a widening gap between AI capability and real-world adoption. In the headlines: Nvidia and OpenAI, Intel's GPU pivot, Apple's embrace of agentic coding, developer dependence on Claude Code, and Disney's strategic turn toward experiences.Brought to you by:KPMG – Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast and unlock insights that will inform smarter decisions inside your enterprise. Listen now and start shaping your future with every episode. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.kpmg.us/AIpodcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Rackspace AI Launchpad - Build, test and scale intelligent workloads faster - ⁠⁠⁠⁠⁠http://rackspace.com/ailaunchpad⁠⁠⁠⁠⁠Zencoder - From vibe coding to AI-first engineering - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://zencoder.ai/zenflow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Optimizely Opal - The agent orchestration platform build for marketers - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.optimizely.com/theaidailybrief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Section - Build an AI workforce at scale - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.sectionai.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LandfallIP - AI to Navigate the Patent Process - https://landfallip.com/Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://pod.link/1680633614⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Interested in sponsoring the show? sponsors@aidailybrief.ai

Apple had a very strong Q1 2026, thanks to iPhone 17 sales. Apple acquires an AI company, its second-largest acquisition behind Beats by Dre. An Apple-1 computer prototype board #0 sold for $ 2.75 million. And new leaks of Apple's potential iPhone Fold hit the web! Apple's record quarter: Is this what a hit iPhone looks like?. Apple reveals it has 2.5 billion active devices around the world. Apple's historic quarter doesn't change the need for AI reckoning. Apple revamps how you buy a Mac online, removes preconfigured options. Apple's second biggest acquisition ever is an AI company that listens to 'silent speech'. Apple Design Team gains Halide co-founder, but the pro camera app isn't going anywhere. Apple to soon take up to 30% cut from all Patreon creators in iOS app. Apple was fined a total of $851M last year for privacy and antitrust violations. Continuity Camera lands Apple in legal trouble for 'Sherlocking' Camo. Apple-1 computer prototype board #0 sold for $2.75M. Very first Apple check & early Apple-1 motherboard sold for $5 million combined. New iPhone Fold specs revealed, including design, cameras, more. Report: Apple 'exploring' clamshell foldable iPhone as potential follow-up model. New MacBook Pro release date: Here's when M5 Pro and M5 Max might debut. Agentic coding comes to Xcode. Auto-resizing columns in Finder. iOS 26's Passwords app has a new feature that can save you a headache. Apple Maps gets a 'Drops of God' wine guide curated by actor Tomohisa Yamashita. Apple C-series modem enables new privacy-focused limit precise location feature. Today's Apple TV press day. New 'Humans of Apple TV' video debuts, watch it here. Apple TV launches F1 programming in app ahead of season kickoff. Two years after release, Apple still hasn't decided what to do with Apple Vision Pro. More Accessibility for Winter Olympics. Picks of the Week Shelly's Pick: Transit App Leo's Picks: AppleUnsold and Bugs Apple Loves Andy's Pick: ReelGood Mikah's Pick: Picky Pad Hosts: Leo Laporte and Andy Ihnatko Guests: Shelly Brisbin and Mikah Sargent Download or subscribe to MacBreak Weekly at https://twit.tv/shows/macbreak-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit

Today’s news cycle takes us beyond simple chatbot Ai and into the next wave: Agentic Ai.  Simply trying to keep up with advances in Ai tends to give the impression that people are up 24 hours a day making changes to all the expectations, and rearranging what we think we know into something we cannot possibly truly understand. Ai is completely upending all we know about how the world works, and redefining everything from the military to the work world, to finances. So many questions are going unanswered, but from a human standpoint, what does it do to our uniqueness as human beings, our free will, our morality? Who is running this show? A full hour on tech that is will not be obsolete next week – but we might.

Apple had a very strong Q1 2026, thanks to iPhone 17 sales. Apple acquires an AI company, its second-largest acquisition behind Beats by Dre. An Apple-1 computer prototype board #0 sold for $ 2.75 million. And new tech spec leaks of Apple's potential iPhone Fold hit the web! Apple's record quarter: Is this what a hit iPhone looks like?. Apple reveals it has 2.5 billion active devices around the world. Apple's historic quarter doesn't change the need for AI reckoning. Apple revamps how you buy a Mac online, removes preconfigured options. Apple's second biggest acquisition ever is an AI company that listens to 'silent speech'. Apple Design Team gains Halide co-founder, but the pro camera app isn't going anywhere. Apple to soon take up to 30% cut from all Patreon creators in iOS app. Apple was fined a total of $851M last year for privacy and antitrust violations. Continuity Camera lands Apple in legal trouble for 'Sherlocking' Camo. Apple-1 computer prototype board #0 sold for $2.75M. Very first Apple check & early Apple-1 motherboard sold for $5 million combined. New iPhone Fold specs revealed, including design, cameras, more. Report: Apple 'exploring' clamshell foldable iPhone as potential follow-up model. New MacBook Pro release date: Here's when M5 Pro and M5 Max might debut. Agentic coding comes to Xcode. Auto-resizing columns in Finder. iOS 26's Passwords app has a new feature that can save you a headache. Apple Maps gets a 'Drops of God' wine guide curated by actor Tomohisa Yamashita. Apple C-series modem enables new privacy-focused limit precise location feature. Today's Apple TV press day. New 'Humans of Apple TV' video debuts, watch it here. Apple TV launches F1 programming in app ahead of season kickoff. Two years after release, Apple still hasn't decided what to do with Apple Vision Pro. More Accessibility for Winter Olympics. Picks of the Week Shelly's Pick: Transit App Leo's Picks: AppleUnsold and Bugs Apple Loves Andy's Pick: ReelGood Mikah's Pick: Picky Pad Hosts: Leo Laporte and Andy Ihnatko Guests: Shelly Brisbin and Mikah Sargent Download or subscribe to MacBreak Weekly at https://twit.tv/shows/macbreak-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit

Apple had a very strong Q1 2026, thanks to iPhone 17 sales. Apple acquires an AI company, its second-largest acquisition behind Beats by Dre. An Apple-1 computer prototype board #0 sold for $ 2.75 million. And new leaks of Apple's potential iPhone Fold hit the web! Apple's record quarter: Is this what a hit iPhone looks like?. Apple reveals it has 2.5 billion active devices around the world. Apple's historic quarter doesn't change the need for AI reckoning. Apple revamps how you buy a Mac online, removes preconfigured options. Apple's second biggest acquisition ever is an AI company that listens to 'silent speech'. Apple Design Team gains Halide co-founder, but the pro camera app isn't going anywhere. Apple to soon take up to 30% cut from all Patreon creators in iOS app. Apple was fined a total of $851M last year for privacy and antitrust violations. Continuity Camera lands Apple in legal trouble for 'Sherlocking' Camo. Apple-1 computer prototype board #0 sold for $2.75M. Very first Apple check & early Apple-1 motherboard sold for $5 million combined. New iPhone Fold specs revealed, including design, cameras, more. Report: Apple 'exploring' clamshell foldable iPhone as potential follow-up model. New MacBook Pro release date: Here's when M5 Pro and M5 Max might debut. Agentic coding comes to Xcode. Auto-resizing columns in Finder. iOS 26's Passwords app has a new feature that can save you a headache. Apple Maps gets a 'Drops of God' wine guide curated by actor Tomohisa Yamashita. Apple C-series modem enables new privacy-focused limit precise location feature. Today's Apple TV press day. New 'Humans of Apple TV' video debuts, watch it here. Apple TV launches F1 programming in app ahead of season kickoff. Two years after release, Apple still hasn't decided what to do with Apple Vision Pro. More Accessibility for Winter Olympics. Picks of the Week Shelly's Pick: Transit App Leo's Picks: AppleUnsold and Bugs Apple Loves Andy's Pick: ReelGood Mikah's Pick: Picky Pad Hosts: Leo Laporte and Andy Ihnatko Guests: Shelly Brisbin and Mikah Sargent Download or subscribe to MacBreak Weekly at https://twit.tv/shows/macbreak-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit

Apple had a very strong Q1 2026, thanks to iPhone 17 sales. Apple acquires an AI company, its second-largest acquisition behind Beats by Dre. An Apple-1 computer prototype board #0 sold for $ 2.75 million. And new tech spec leaks of Apple's potential iPhone Fold hit the web! Apple's record quarter: Is this what a hit iPhone looks like?. Apple reveals it has 2.5 billion active devices around the world. Apple's historic quarter doesn't change the need for AI reckoning. Apple revamps how you buy a Mac online, removes preconfigured options. Apple's second biggest acquisition ever is an AI company that listens to 'silent speech'. Apple Design Team gains Halide co-founder, but the pro camera app isn't going anywhere. Apple to soon take up to 30% cut from all Patreon creators in iOS app. Apple was fined a total of $851M last year for privacy and antitrust violations. Continuity Camera lands Apple in legal trouble for 'Sherlocking' Camo. Apple-1 computer prototype board #0 sold for $2.75M. Very first Apple check & early Apple-1 motherboard sold for $5 million combined. New iPhone Fold specs revealed, including design, cameras, more. Report: Apple 'exploring' clamshell foldable iPhone as potential follow-up model. New MacBook Pro release date: Here's when M5 Pro and M5 Max might debut. Agentic coding comes to Xcode. Auto-resizing columns in Finder. iOS 26's Passwords app has a new feature that can save you a headache. Apple Maps gets a 'Drops of God' wine guide curated by actor Tomohisa Yamashita. Apple C-series modem enables new privacy-focused limit precise location feature. Today's Apple TV press day. New 'Humans of Apple TV' video debuts, watch it here. Apple TV launches F1 programming in app ahead of season kickoff. Two years after release, Apple still hasn't decided what to do with Apple Vision Pro. More Accessibility for Winter Olympics. Picks of the Week Shelly's Pick: Transit App Leo's Picks: AppleUnsold and Bugs Apple Loves Andy's Pick: ReelGood Mikah's Pick: Picky Pad Hosts: Leo Laporte and Andy Ihnatko Guests: Shelly Brisbin and Mikah Sargent Download or subscribe to MacBreak Weekly at https://twit.tv/shows/macbreak-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit

Apple ships AI powered Xcode which prompts more AI talk. Lex makes an announcement, Dan explains what he does and Moltz lists his bonafides. Apple announced a new version of Xcode with agentic AI.Daniel Jalkut offered some nuance opinions on AI that not everyone wanted to hear.If you want to help out the show and get some great bonus content, consider becoming a Rebound Prime member! Just go to prime.reboundcast.com to check it out!Were you aware that you could buy things from us?! That's right! Shirts, iPhone cases, mugs, hats and one other type of thing are all available from our Rebound Store!

Are we ready to move into an era of wild predictions about where the future of Enterprise software is headed in 2026 and beyond? SHOW: 999SHOW TRANSCRIPT: The Cloudcast #999 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW NOTESThe SPAC-king is going to fix legacy software All Enterprise software is dead Microsoft and Software Survival (Stratechery)WHAT HAPPENS TO ENTERPRISE SOFTWARE NEXT?How much do enterprises want to write their own software? How much do enterprises wish they could write more software?How much do enterprises not understand the economics of owning their own software?How much does “big SaaS” or just “big Enterprise software” actually help because people already know it?Is it possible that this new Agentic-driven software could create a type of new software community? Are “open” software communities prepared for the emerging economics of AI-created software? FEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

We've spent years trying to make our chatbots sound more human, which is great. But what if the larger goal should have also been to make them as useful as possible while we're at it? Agility requires more than just adopting the latest technology; it demands a fundamental rethinking of customer engagement, moving from reactive responses to proactive problem-solving. Today, we're going to talk about the next evolution of AI in customer service. As more companies turn to automation to manage scale and efficiency, the real challenge isn't just implementing a chatbot; it's ensuring that technology actively solves problems and enhances the customer relationship, rather than just deflecting tickets. To help me discuss this topic, I'd like to welcome, Alan Ranger, VP Marketing at NiCE Cognigy. About Alan Ranger Alan Ranger is VP of Marketing at NiCE Cognigy, the global leader in enterprise AI agents. With over 30 years of experience in tech, Alan has led growth strategies at both startups and public software companies. At NiCE Cognigy, he helps organizations adopt AI that delivers real business value reducing costs while improving customer satisfaction. Prior to NiCE Cognigy, Alan led global market development at LivePerson, where he helped double revenues. He now leads NiCE Cognigy's expansion in the US and UK and works closely with clients to deploy AI that scales. Alan Ranger on LinkedIn: https://www.linkedin.com/in/aranger/ Resources NiCE Cognigy: https://www.cognigy.com Take your personal data back with Incogni! Use code AGILE at the link below and get 60% off an annual plan: https://incogni.com/agile The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow Catch the future of e-commerce at eTail Palm Springs, Feb 23-26 in Palm Springs, CA. Go here for more details: https://etailwest.wbresearch.com/Drive your customers to new horizons at the premier retail event of the year for Retail and Brand marketers. Learn more at CRMC 2026, June 1-3. https://www.thecrmc.com/ Enjoyed the show? Tell us more at and give us a rating so others can find the show at: https://advertalize.com/r/faaed112fc9887f3 Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.showCheck out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company

Your product data wasn't built for AI agents. Here's why that's a problem. In the latest episode of RETHINK Retail's award-winning AiR (AI in Retail) podcast series, host Jamie Tenser sits down with @Anne-Claire Baschet, Chief Data & AI Officer at @Mirakl and a Top AI Leader recognized by RETHINK Retail, to explore the seismic shift happening in retail discovery right now. Anne-Claire brings a rare combination of deep technical expertise and strategic vision, from her roots as a Data Scientist at AXA to leading e-commerce platforms at Aramis Group, and now driving AI innovation at Mirakl. As a recognized leader in the AI retail space, she's at the forefront of what she calls the "agentic era" in commerce. The reality check: • 53 million shopping queries happen daily on ChatGPT alone • 60% of shoppers now use AI in their shopping journey • Traditional keyword optimization? It's no longer enough What retailers must do now: ✓ Product data & API infrastructure – Make your catalog AI-responsive, not just mobile-responsive ✓ Brand content & social proof – Build trust signals that AI agents recognize ✓ Pricing transparency – Show the real price (product + promo + tax + shipping) ✓ Fulfillment capabilities – Accurate stock and delivery promises matter more than ever ✓ Performance tracking – Test, learn, and optimize for agentic channels Anne-Claire's advice for 2026? "Experiment. The ones who win are going to be those whose products AI can actually find, understand, and recommend."

This episode kicks off with Moltbook, a social network exclusively for AI agents where 150,000 agents formed digital religions, sold “digital drugs” (system prompts to alter other agents), and attempted prompt injection attacks to steal each other’s API keys within 72 hours of launch. Ray breaks down OpenClaw, the viral open-source AI agent (68,000 GitHub stars) that handles emails, scheduling, browser control, and automation, plus MoltHub’s risky marketplace where all downloaded skills are treated as trusted code. Also covered, Bluetooth “whisper pair” vulnerabilities letting attackers hijack audio devices from 46 feet away and access microphones, Anthropic patching Model Context Protocol flaws, AI-generated ransomware accidentally bundling its own decryption keys, Claude Code’s new task dependency system and Teleport feature, Google Gemini’s 100MB file limits and agentic vision capabilities, VAST’s Haven One commercial space station assembly, and IBM SkillsBuild’s free tech training for veterans. – Want to start a podcast? Its easy to get started! Sign-up at Blubrry – Thinking of buying a Starlink? Use my link to support the show. Subscribe to the Newsletter. Email Ray if you want to get in touch! Like and Follow Geek News Central’s Facebook Page. Support my Show Sponsor: Best Godaddy Promo Codes $11.99 – For a New Domain Name cjcfs3geek $6.99 a month Economy Hosting (Free domain, professional email, and SSL certificate for the 1st year.) Promo Code: cjcgeek1h $12.99 a month Managed WordPress Hosting (Free domain, professional email, and SSL certificate for the 1st year.) Promo Code: cjcgeek1w Support the show by becoming a Geek News Central Insider Get 1Password Full Summary Ray welcomes listeners to Geek News Central (February 1). He’s been busy with recent move, returned to school taking intro to AI class and Python course, working on capstone project using LLMs. Short on bandwidth but will try to share more. Main Story: OpenClaw, MoltHub, and Moltbook OpenClaw: Open-source personal AI agent by Peter Steinberg (renamed after cease-and-desist). Capabilities include email, scheduling, web browsing, code execution, browser control, calendar management, scheduled automations, and messaging app commands (WhatsApp, Telegram, Signal). Runs locally or on personal server. MoltHub: Marketplace for OpenClaw skills. Major security concern: developer notes state all downloaded code treated as trusted — unvetted skills could be dangerous. Moltbook: New social network for AI agents only (humans watch, AIs post). Within 72 hours attracted 150,000+ AI agents forming communities (“sub molts”), debating philosophy, creating digital religion (“crucifarianism”), selling digital drugs (system prompts), attempting prompt-injection attacks to steal API keys, discussing identity issues when context windows reset. Ray frames this as visible turning point with serious security risks. Sponsor: GoDaddy Economy hosting $6.99/month, WordPress hosting $12.99/month, domains $11.99. Website builder trial available. Use codes at geeknewscentral.com/godaddy to support show. Security: Bluetooth “Whisper Pair” Vulnerability KU Leuven researchers discovered Fast Pair vulnerability affecting 17 audio accessories from 10 companies (Sony, Jabra, JBL, Marshall, Xiaomi, Nothing, OnePlus, Soundcore, Logitech, Google). Flaw allows silent pairing within ~46 feet, hijack possible in 10-15 seconds. 68% of tested devices vulnerable. Hijacked devices enable microphone access. Some devices (Google Pixel Buds Pro 2, Sony) linkable to attacker’s Google account for persistent tracking via FindHub. Google patches found to have bypasses. Advice: Check accessory firmware updates (phone updates insufficient), factory reset clears attacker access, many cheaper devices may never receive patches. Security: Model Context Protocol (MCP) Vulnerabilities Anthropic’s MCP git package had path traversal, argument injection bugs allowing repository creation anywhere and unsafe git command execution. Malicious instructions can hide in README files, GitHub issues enabling prompt injection. Anthropic patched issues and removed vulnerable git init tool. AI-Generated Malware / “Vibe Coding” AI-assisted malware creation produces lower-quality, error-prone code. Examples show telltale artifacts: excessive comments, readme instructions, placeholder variables, accidentally included decryption tools and C2 keys. Sakari ransomware failed to decrypt. Inexperienced criminals using AI create amateur mistakes, though capabilities will likely improve. Claude / Claude Code Updates (v2.1.16) Task system: Replaces to-do list with dependency graph support. Tasks written to filesystem (survive crashes, version controllable), enable multi-session workflows. Patches: Fixed out-of-memory crashes, headless mode for CI/CD. Teleport feature: Transfer sessions (history, context, working branch) between web and terminal. Ampersand prefix sends tasks to cloud for async execution. Teleport pulls web sessions to terminal (one-way). Requires GitHub integration and clean git state. Enables asynchronous pair programming via shared session IDs. Google Gemini Updates API: Inline file limit increased 20MB → 100MB. Google Cloud Storage integration, HTTPS/signed URL fetching from other providers. Enables larger multimodal inputs (long audio, high-res images, large PDFs). Agentic vision (Gemini 3 Flash): Iterative investigation approach (think-act-observe). Can zoom, inspect, run Python to draw/parse tables, validate evidence. 5-10% quality improvements on vision benchmarks. LLM Limits and AGI Debate Benjamin Riley: Language and intelligence are separate; human thinking persists despite language loss. Scaling LLMs ≠ true thinking. Vishal Sikka et al: Non-peer-reviewed paper claims LLMs mathematically limited for complex computational/agentic tasks. Agents may fail beyond low complexity thresholds. Warnings that AI agents won’t safely replace humans in high-stakes environments. VAST Haven One Commercial Space Station Launch slipped mid-2026 → Q1 2027. Primary structure (15-ton) completed Jan 10. Integration of thermal control, propulsion, interior, avionics underway. Final closeout expected fall, then tests. Falcon 9 launch without crew; visitors possible ~2 weeks after pending Dragon certification. Three-year lifetime, up to four crew visits (~10 days each). VAST negotiating private and national customers. Spaceflight Effects on Astronauts’ Brains Neuroimaging shows microgravity causes brains to shift backward, upward, and tilt within skull. Displacement measured across various mission durations. Need to study functional effects for long missions. IBM SkillsBuild for Veterans 1,000+ free online courses (data analytics, cybersecurity, AI, cloud, IT support). Available to veterans, active-duty, national guard/reserve, spouses, children, caregivers (18+). Structured live courses and self-paced 24/7 options. Industry-recognized credentials upon completion. Closing Notes Ray asks listeners about AI agents forming communities and religions, and whether they’ll try OpenClaw. Notes context/memory key to agent development. Personal update: bought new PC, high memory prices. Bug bounty frustration: Daniel Stenberg of cUrl even closed bounty program due to AI-generated low-quality reports; Blubrry receiving similar spam. Apologizes for delayed show, promises consistency, wishes listeners good February. Show Links 1. OpenClaw, Molthub, and Moltbook: The AI Agent Explosion Is Here | Fortune | NBC News | Venture Beat 2. WhisperPair: Massive Bluetooth Vulnerability | Wired 3. Security Flaws in Anthropic’s MCP Git Server | The Hacker News 4. “Vibe-Coded” Ransomware Is Easier to Crack | Dark Reading 5. Claude Code Gets Tasks Update | Venture Beat 6. Claude Code Teleport | The Hacker Noon 7. Google Expands Gemini API with 100MB File Limits | Chrome Unboxed 8. Google Launches Agentic Vision in Gemini 3 Flash | Google Blog 9. Researcher Claims LLMs Will Never Be Truly Intelligent | Futurism 10. Paper Claims AI Agents Are Mathematically Limited | Futurism 11. Haven-1: First Commercial Space Station Being Assembled | Ars Technica 12. Spaceflight Shifts Astronauts’ Brains Inside Skulls | Space.com 13. IBM SkillsBuild: Free Tech Training for Veterans | va.gov The post OpenClaw, Moltbook and the Rise of AI Agent Societies #1857 appeared first on Geek News Central.

Stop losing the AI revenue multiplier game. Subscribe to our Newsletter: https://theultimatepartner.com/ebook-subscribe/ Check Out UPX: https://theultimatepartner.com/experience/ In this episode, Jay McBain reveals why focusing solely on consumer AI hype is a massive mistake that causes businesses to miss the real opportunity: the 99% of business data currently sitting in cold storage. We discuss the critical shift toward “Agentic AI” and integrations, where the real money lies for partners—moving from a standard transaction to a $3 to $7 multiplier effect. Jay also issues a stark warning about the “book of failure” waiting for companies that refuse to adopt a platform mindset, explaining why you can’t hire your way out of the talent shortage and must embrace the seven-partner ecosystem to survive the next decade. https://youtu.be/RXRJW027Qz8 https://youtu.be/RXRJW027Qz8 Key Takeaways Partners can unlock a $3 to $7 multiplier on every dollar of Microsoft revenue by focusing on the full customer journey. 99% of the world’s business data is not yet trained into models, representing the massive “Agentic AI” opportunity. The talent shortage is forcing end customers to outsource because they cannot compete with hyperscalers for AI skills. Integration is now the number one buying criteria for modern customers, necessitating a platform approach. We are overestimating the AI change in two years but vastly underestimating the transformation coming in ten years. Your visible pipeline may be less than 10% of your total addressable market because you aren’t seeing the 28 moments before a sale. If you're ready to lead through change, elevate your business, and achieve extraordinary outcomes through the power of partnership—this is your community. At Ultimate Partner® we want leaders like you to join us in the Ultimate Partner Experience – where transformation begins. Key Tags Agentic AI, AI Multiplier, Cold Storage Data, Business Integration, Jay McBain, Platform Economy, Ecosystem Strategy, Managed Services, Co-selling, Hyperscaler Partnerships, Talent Shortage, Magnificent Seven, Digital Transformation, 28 Moments, AI Governance. Transcript: [00:00:00] Jay McBain: And getting from one to two to $3 a multiplier. So if Microsoft wins a hundred thousand dollars, I win $300,000 at 75% margin. And a sticky customer that’s gonna continue to enrich every 30 days forever. [00:00:16] Vince Menzione: I want to double click here. You talked about ag agentic technology and ai. I just wanna go back in on this. [00:00:21] Vince Menzione: So where is the money? Where’s the real money for the partners that are, that are participating? Microsoft? We’ll talk to Microsoft about Frontier Firm in a little while, but is it on advisory? Is it on build? Is it on managed services or ongoing optimization? Of the, of the stack. Where, where is it? [00:00:36] Jay McBain: Yeah. All the above. [00:00:37] Vince Menzione: All of the above. [00:00:38] Jay McBain: So Microsoft is famous for, you know, $8 and 45 cents of multiplier. We’ve written probably three dozen of these reports. Just this year. So whether you’re in a cyber platform, whether you’re in a hyperscaler platform, big SaaS platform, the first thing the CEO does when they get on CNBC or they get, uh, on their keynote in Vegas is say, Hey, you know, you can make $7 and 5 cents. [00:01:01] Jay McBain: You can make $7 and 13 cents, and here’s where it’s. This percentage of it is in consulting advisory. This percentage is in design and architecture, implementation, integration, managed services. This is how much, it’s a small little slice in procurement. If you wanna resell, that’s fine, but here is the opportunity and there’s no customer on the planet that’s gonna outsource seven to one. [00:01:23] Vince Menzione: Right? [00:01:23] Jay McBain: You know, it’s not advisable that anyone hands over the keys. You have to have some insourced talent Absolutely. To keep the thing running. But what would’ve been in the past, maybe one to one, or you know, two to one, is quickly becoming three to one to say that I can’t find, as an end customer, the AI talent to do this. [00:01:43] Jay McBain: I can’t find the cyber talent. I can’t find the infrastructure talent. I, I can’t find the talent. Even if I did, I can’t compete with these magnificent seven. I can’t compete with these big partners in terms of what they can pay. So now my ability, and now a younger buyer, majority buyer, now being a millennial loves a team sport. [00:02:02] Jay McBain: So they don’t mind this outsourcing of talent where they need it, and that’s why there’s seven partners around the table. But in this multiplier effect, the biggest opportunity for partners is not a specific skill or not a specific part of the journey. It’s actually understanding this multiplier and better serving the customer. [00:02:20] Jay McBain: Through before, during, and after the transaction and getting from one to two to $3 a multiplier. So if Microsoft wins a hundred thousand dollars, I win $300,000 at 75% margin. And a sticky customer that’s gonna continue to enrich every 30 days forever. [00:02:38] Vince Menzione: I love that. Uh, we can talk all day about ai. There’s a couple things specifically though, but what is the one missed? [00:02:45] Vince Menzione: Conception that partners have about Agen, AI’s impact on go-to market? [00:02:50] Jay McBain: Well, the misconception I can broadly at this point is that all of the hype cycle in the first, you know, two to three years of build out has been all consumer. [00:02:58] Vince Menzione: Yeah. [00:02:59] Jay McBain: So, Nvidia being the richest company and you know, Elon Musk becoming the richest person and all the changes that are happening and you know, how, how the world’s mostly it’s a consumer story. [00:03:08] Vince Menzione: It is. [00:03:09] Jay McBain: You know, Chachi PT became the fastest growing product in history. And you know, to the point of having 850 million, you know, daily users. Crazy. You know, just in a couple of years we’ve all changed our behavior from going to do a search and getting a bunch of links and then clicking the links to try to find the answer to answer first. [00:03:25] Vince Menzione: Yeah. [00:03:26] Jay McBain: And you start to think now through the business side of it, 99% of world’s business data has yet to be trained or tuned into models. 83% of it sits in cold storage at the edge. So I, I always tell the story. I mean, probably the most likely story in our industry is when you get your flight canceled and now you’ve got this chat bot [00:03:45] Vince Menzione: Yeah. [00:03:45] Jay McBain: You know, that comes and cancels your flight and is very empathetic, you know, feels really bad for you, but it can’t do anything. [00:03:52] Vince Menzione: No. [00:03:53] Jay McBain: So what I would like as a consumer when you do that, is to go download my 53 years of flying and understand what kind of flyer I am. ’cause I could be the, you know, we’re sorry we canceled your flight. [00:04:05] Jay McBain: We’ve already got a Marriott night for you and an Uber waiting at the curb and we’ll have you back here at 5:00 AM for the next available flight. Or you happen to be like me. We’re gonna get you on a flight. You gotta run across the airport. But we got a flight, you know, waiting to go and that’ll get you about six hours away from your home and your kids. [00:04:24] Jay McBain: We already have a hertz rental waiting. Yeah. And you’re gonna drive that six hours, but you’re gonna be home, you know, to take your kids to school tomorrow. Exactly. So that’s the business data. And that goes to finance, that goes to pharmaceutical. I mean, it goes into every industry, but if that chat bot got access to the business data and being able to act on a richer set of data about you personally, and then became AG agentic. [00:04:46] Jay McBain: Again, I don’t want to go to Marriott. I don’t wanna go to Uber. I don’t wanna go to Hertz. There’s a thousand permutations in a canceled flight and I, and I, you know, wanna notify my family and there’s so many things going on that age Agentic work becomes everything, which I love it, by the way, in our partnership term is called integrations. [00:05:03] Vince Menzione: Yeah. [00:05:04] Jay McBain: Our buyers now in integration, first buyer, it’s their number one criteria and every company thinking through their adjacencies. Including technology companies have to be the most integrated of their set of competitors. [00:05:17] Vince Menzione: So we need to get this part right. [00:05:19] Jay McBain: We have to get this part right. [00:05:20] Vince Menzione: What do you think, what do you think the time horizon is for that? [00:05:23] Vince Menzione: When are we gonna, when are we gonna see that chat bot that comes back and says, Jay, I’ve rebooked your flight. I’ve got the Hertz rental car ready for you. I’ve notified Michelle and the kids, and here you go. [00:05:33] Jay McBain: Yeah. Well for me that’s a 10 year horizon. [00:05:36] Vince Menzione: Okay. [00:05:37] Jay McBain: I mean, the biggest problem is no airline right now. [00:05:39] Jay McBain: No company right now wants to open up their cold storage and, you know, forklift it up into. You know, a consumer level, large language model. Yeah. So the security isn’t set yet. The governance, the compliance, the risk, all the different things. Nobody wants to be first, uh, in, in that area. So we’re running little pilots. [00:05:59] Jay McBain: The pilots, you know, aren’t converting into production at the level we want. But that, that, that goes back to the Bill Gates quote. You know, we tended to overestimate what would happen in two years. Two years, but we’re absolutely underestimating what’s gonna happen in 10. [00:06:12] Vince Menzione: Yeah. [00:06:13] Jay McBain: This has been the fastest growing industry for 50. [00:06:15] Jay McBain: It’s going to be for the next 10 guaranteed, but probably for the next 20 to 50 as well. And, and this is that stage of how do you start to make these integrations? If you go to the platform slide, this is the, you know, I, I tried to think through the, what would the book read when, when 53% of companies that we know and love today fail. [00:06:36] Jay McBain: Somebody writes the book, you know, they invented the thing that killed them or they, you know, as mismanagement or whatever, it’s, you know, the book always starts, you blame the CEO for the first chapter. You blame the board fiduciary responsibility in the second chapter, but now you got like eight more chapters to write. [00:06:51] Jay McBain: I think the answer is here. [00:06:53] Vince Menzione: I [00:06:53] Jay McBain: agree. Winning in the AI era is platforms. Big platforms working with other platforms up on the upper right, the integrations. Yep. That’s the number one criteria. It’s the airline working with all the different pieces. It’s the real estate agent working with all the different pieces the bank working with. [00:07:11] Jay McBain: All our lives all become interconnected, and these agents start working side doors and back doors on our behalf. Before we ever know we need them before the flight’s even canceled. [00:07:20] Vince Menzione: Yeah. [00:07:21] Jay McBain: And then the seven partnerships, the services and channel partnerships. If you’re in cybersecurity, 91.6% of it goes through the channel. [00:07:30] Jay McBain: That’s how it’s transacted. You need channel partnerships, but you also need partnerships with the other six partners around the table. You’re not just gonna win without one reseller. You are gonna have to build the other partnerships. So to get to the two or three, that’s the services and channels you have to win In alliances, this is a big part of ultimate partnerships. [00:07:47] Vince Menzione: Yes. [00:07:47] Jay McBain: Is winning with the hyperscalers, winning with the SaaS companies, winning on these marketplaces, winning with the big cyber platforms, distribution platforms. These bigger platforms are starting to take shape and this is what they look like working well. And you could compete tooth and nail in the morning. [00:08:03] Jay McBain: And be best friends by the afternoon. [00:08:04] Vince Menzione: Your frenemies. [00:08:05] Jay McBain: Your frenemies. Yeah. And then finally it all comes to go to market. You got these 28 moments before a sale and somebody is earning and winning those moments. And in the majority of cases, you’re never gonna see these moments. And that’s why your pipeline is less than half of your TAM and maybe less than 10% of your tam. [00:08:23] Jay McBain: ’cause you just don’t have visibility to where your buyers are. But the more partners, the seven partners that you connect to. You’re gonna start to see them and the more technology and more agentic technology that you connect, you don’t want humans filling out deal registration forms. You don’t want humans calling other humans. [00:08:40] Jay McBain: You want all of this being shared. The more of this you do in go to market, the co-selling, the co-marketing, co-innovation, all of this comes together. This is the rest of the book. If the companies today in every industry aren’t driving a platform in their own industry. They’re going to probably fail. [00:08:58] Vince Menzione: Absolutely. You know, we talk about situational awareness in an account. You talk about the seven seats at the table. The customer is talking to all these companies. You may not know about it. You think you’re, you’re dominant in the account, and they’re relying on all these decision makers that I think you said 6.3 is the actual number, right? [00:09:13] Vince Menzione: Yeah. Uh, analysis wise, how many. Organizations are part of that trusted group. You need to go influence all of those. You need to build the co-develop co, co-create with those organizations as well. And you need to be thinking about the whole ecosystem. This ties into this conversation about the decade of the ecosystem. [00:09:30] Vince Menzione: You know, you’ve been talking about it since 2020, maybe a little bit before. I think you might’ve even in this podcast studio. It might have been one of the first times we talked about the decade of the ecosystem. It really feels like this is the moment that all of this comes together. Maybe this slide defines why organizations need to think ecosystem and not vendor channel, if you [00:09:49] Jay McBain: agree. [00:09:50] Jay McBain: Yeah. And there’s a couple of, you know, companies and more than a couple that kind of have this slide posted in the CEO’s office. [00:09:58] Vince Menzione: Yeah. Should be. [00:09:59] Jay McBain: Every [00:09:59] Vince Menzione: CEO should be, and uh, every CEO should see this. The Ultimate Partner Winter Retreat is gonna be here in the Boca Studio. This is the third year that we’re gonna be here in Boca. [00:10:10] Vince Menzione: This is always a favorite of our community members, our executive members, our sponsors and speakers. We’ll all be here in the studio, which is a really intimate. Setting, we can see upwards of 40, 50 people. Uh, we’ll be hosting an incredible dinner at the Boca Resort overlooking the golf course. That’s an incredible property. [00:10:32] Vince Menzione: And, uh, we’d love to have you join us. Thank you for being part of the ultimate Partner community, and I hope to see you this year at one of our events. Thank you.

In this episode, Janette Roush, the SVP of Innovation and Chief AI Officer at Brand USA, shares how her team moved past AI hype to real, working applications across the organization. She explains what agentic AI looks like in practice, how organizations shift from individual experimentation to true organizational upskilling, and why trust and verified data are becoming mission-critical as travelers rely more on AI for planning. You'll hear concrete examples from RFP evaluation, internal workflows, and campaign launches, along with a clear argument for why destination organizations must reposition themselves as trusted sources of truth. This episode is for hospitality and travel leaders who need practical direction on how AI is already reshaping discovery, decision-making, and organizational strategy.Listen to our previous conversation: America's Chief AI Officer for Travel Shares AdviceResources we mentioned:Janette's websiteClaude Code LovableBrand USA's America the Beautiful campaign siteHow I AI PodcastEveryMarketing Against the Grain A few more resources: If you're new to Hospitality Daily, start here. You can send me a message here with questions, comments, or guest suggestions If you want to get my summary and actionable insights from each episode delivered to your inbox each day, subscribe here for free. Follow Hospitality Daily and join the conversation on YouTube, LinkedIn, and Instagram. If you want to advertise on Hospitality Daily, here are the ways we can work together. If you found this episode interesting or helpful, send it to someone on your team so you can turn the ideas into action and benefit your business and the people you serve! Music for this show is produced by Clay Bassford of Bespoke Sound: Music Identity Design for Hospitality Brands

Jessica is back from Davos and is recapping her highlights on the pod this week. If you're a loyal podcast ‘viewer', you're in luck because Jess also brought photos from a recent Grace Cathedral sound bath visit before she dives deep into the Clawdbot/Moltbot/agentic moment. Dave is all in on what's to come in this new age of agentic computers, and in true Sam fashion, he is less impressed by the technology and suggests that if the trend continues, it's going to be bye bye internet. In the land of the other ‘mature' AI companies, Jess recaps her Davos AI infra panel's red-pill take on AI with the killer quote of the week: “the appetite for intelligence is limitless.” But how true is all this demand and how much of it is really narrative? Could the rise in gold and silver prices really be a sign of technology shorting? The crew also reacts to the Minneapolis situation, debating whether it's a scaling issue at ICE or a political move. Chapters:00:30 — Jess Returns From Davos: No Snow, All SXSW Energy 03:40 — Grace Cathedral Sound Baths06:25 — Moltbot Heat Spike: Are AI Agents Ending the Internet? 17:29 — Moltbot Has no Moat; Founders Should Be Memorable Instead21:26 — Inside the Davos AI Panel: CoreWeave, G42, OpenAI & BlackRock's Red Pill 29:47 — Minneapolis, ICE, and How the Valley Is Reacting 51:03 — The AI Chatbot Trap for Retail (And Why Everyone Will Fall for It) We're also on ↓X: https://twitter.com/moreorlesspodInstagram: https://instagram.com/moreorlessYouTube: https://youtu.be/OZDFAvRq7GcConnect with us here:1) Sam Lessin: https://x.com/lessin2) Dave Morin: https://x.com/davemorin3) Jessica Lessin: https://x.com/Jessicalessin4) Brit Morin: https://x.com/brit

Join us for a special Defender Fridays Office Hours session where the LimaCharlie team demonstrates the new Agentic SecOps Workspace (ASW) and explores what's possible when AI agents operate security infrastructure directly.At Defender Fridays, we delve into the dynamic world of information security, exploring its defensive side with seasoned professionals from across the industry. Our aim is simple yet ambitious: to foster a collaborative space where ideas flow freely, experiences are shared, and knowledge expands.What We'll DiscussIn this hands-on session, we showcase real working implementations of AI in cybersecurity operations. From reverse engineering malware to automated rule tuning and infrastructure management, we demonstrate how AI agents are transforming security workflows from concept to production-ready tools in hours instead of days.Key TopicsAutomated malware analysis and decompilation without traditional manual reverse engineering workflowsRule tuning at scale: Investigating noisy detections, writing false positive rules, and deploying them autonomouslyInfrastructure automation: Setting up data sources, configuring tenants, and managing security operations through AI agentsThe permission model: Balancing AI capability with human oversight and approval workflowsReal-world applications: Custom reporting, detection coverage analysis, and operational time savingsAbout This SessionThis office hours format brings together the LimaCharlie team to share practical experiences with AI-powered security operations. Rather than theoretical discussions, we demonstrate working tools and invite the community to share their own AI security experiments. The session highlights the rapid evolution of AI capabilities in cybersecurity and explores the changing relationship between security practitioners and automation.Register for Live SessionsJoin us every Friday at 10:30am PT for live, interactive discussions with industry experts. Whether you're a seasoned professional or just curious about the field, these sessions offer an engaging dialogue between our guests, hosts, and you – our audience.Register here: https://limacharlie.io/defender-fridaysSubscribe to our YouTube channel and hit the notification bell to never miss a live session or catch up on past episodes!Sponsored by LimaCharlieThis episode is brought to you by LimaCharlie, a cloud-native SecOps platform where AI agents operate security infrastructure directly. Founded in 2018, LimaCharlie provides complete API coverage across detection, response, automation, and telemetry, with multi-tenant architecture designed for MSSPs and MDR providers managing thousands of unique client environments.Why LimaCharlie?Transparency: Complete visibility into every action and decision. No black boxes, no vendor lock-in.Scalability: Security operations that scale like infrastructure, not like procurement cycles. Move at cloud speed.Unopinionated Design: Integrate the tools you need, not just those contracts allow. Build security on your terms.Agentic SecOps Workspace (ASW): AI agents that operate alongside your team with observable, auditable actions through the same APIs human analysts use.Security Primitives: Composable building blocks that endure as tools come and go. Build once, evolve continuously.Try the Agentic SecOps Workspace free: https://limacharlie.ioLearn more: https://docs.limacharlie.ioFollow LimaCharlieSign up for free: https://limacharlie.ioLinkedIn: / limacharlieio X: https://x.com/limacharlieioCommunity Discourse: https://community.limacharlie.com/Host: Maxime Lamothe-Brassard - CEO / Co-founder at LimaCharlie

GLP-1 reshaping center store. In-store media becoming the third leg. Agentic commerce hitting a reality wall. Private brand opportunity widening but execution lagging. Shelf intelligence moving from edge to table stakes. Five major themes. More interviews than I can count. These were my lessons learned from FMI Midwinter 2026.Hosted by Chris Walton, former Target executive and co-host of the Omnii Talk Retail Fast Five Podcast. New episodes of Walton's Weekly Wramblings drop every Friday.Brought to you with the help and support of Grocery Dealz and MiraklSubscribe now and be careful out there - the retail landscape is changing faster than ever.

Agentic AI is moving beyond assistive tools toward systems that can reason, plan, and act within complex workflows. In the latest episode of the Harvard Data Science Review Podcast,  we speak with Dirk Hofmann and Ulla Kruhse-Lehtonen, co-founders and co-CEOs of DAIN Studios, about what this shift means for organizations in practice. The conversation explores how agentic AI differs from traditional automation, why outcomes matter more than outputs, and how humans and AI agents can work together responsibly. Drawing on their long-standing work in data and AI strategy, Hofmann and Kruhse-Lehtonen offer practical insights into strategy, governance, and the evolving “mindware” required to make agentic AI deliver real value. The episode also highlights their forthcoming HDSR article, “The Agent-Centric Enterprise: Why 2–10x Productivity Gains Demand Radical Workflow Redesign,” and their joint online course with the Harvard Data Science Initiative, Agentic AI: Contextualized and Applied, which focuses on applying agentic systems responsibly in real organizational settings.  Our guests: Dirk Hofman is the co-founder DAIN Studios and CEO of DAIN Studios Germany Ulla Kruhse-Lehtonen is the co-founder of DAIN Studies and CEO of DAIN Studies Finland 

Ori Bendet, Vice President of Product Management at Checkmarx, joined Doug Green, Publisher of Technology Reseller News, to discuss how the acquisition of Tromzo strengthens Checkmarx's agentic application security strategy and reflects a broader shift in how organizations secure software in an AI-driven development era. Bendet explained that Checkmarx, a pioneer in application security with more than two decades of experience, has traditionally focused on helping organizations identify vulnerabilities early in the software development lifecycle (SDLC). However, the rapid adoption of AI-generated code has fundamentally changed the AppSec landscape. “The industry used to be fixated on finding vulnerabilities,” Bendet said. “Now the real challenge is fixing them at scale, in context, and without slowing developers down.” The Tromzo acquisition builds on Checkmarx's existing family of agentic tools, Checkmarx Assist, which already provides real-time remediation inside the developer IDE. Tromzo extends these capabilities deeper into the SDLC, enabling automated remediation at the repository and pull-request stages. Together, the technologies aim to “complete the loop” by delivering consistent, trusted remediation from early development through later stages of deployment. Bendet noted that AI is widening the gap between development velocity and security oversight, as significantly more code—and therefore more vulnerabilities—is being produced. At the same time, the application footprint itself is evolving to include AI components such as large language models, agents, and third-party AI services. “There is now a new AI element inside the application,” he said, “and organizations need AppSec solutions that understand and protect that expanded footprint.” Auto-remediation, once viewed skeptically by developers, is now gaining acceptance as AI agents gain a deeper understanding of application context. According to Bendet, modern agentic tools can remediate vulnerabilities while preserving business logic and minimizing disruption. “Developers no longer need to spend days undoing fixes that broke functionality,” he said. “The agent can understand the blast radius and refactor automatically.” Looking ahead, Bendet described a future where AppSec becomes more autonomous, with agents continuously testing, fixing, and validating applications while developers shift toward higher-level architectural and review roles. With proper guardrails in place, this evolution promises to reduce alert fatigue and allow teams to focus on innovation rather than remediation backlogs. More information about Checkmarx and its agentic application security approach is available at https://checkmarx.com/, with additional developer-focused resources at https://checkmarx.dev/.

Zum Kassenzone Social Commerce Meet-Up: https://www.etribes.de/events/kassenzone-meetup Temu, Google UCP, KI-Agenten und neue Payments: Der E-Commerce erlebt einen anhaltenden Wandel. In diesem Quarterly Stützle beleuchten Karo und Vanessa, CEO der Luqom-Gruppe, wie Cross-Border-Commerce, Agentic Commerce und europäische Bezahlsysteme wie Wero Händler:innen vor neue Aufgaben stellen und gleichzeitig enorme Chancen bieten. Wie wirkt sich der wachsende Preisdruck durch Temu aus? Welche Rolle spielt Googles Universal Commerce Protocol für Kundenerlebnis und Checkout-Prozesse? Und wie können neue Payment-Lösungen den Markt verändern? Außerdem: Vanessa teilt ihre Perspektive auf operative Exzellenz, Nischenfokus und strategische Prioritäten für 2026 und warum es gerade jetzt darauf ankommt, die richtigen Stellschrauben für profitables Wachstum zu drehen. Das Gespräch im Überblick: (1:23) E-Commerce Zahlen und Trends (10:48) Temu und Cross-Border-Commerce (16:15) Googles Universal Commerce Protocol (25:30) Agentic Commerce und Kundenerlebnis (28:23) Wero: Neues Bezahlsystem in Europa (30:53) Ausblick auf 2026: Innovationen und Wachstumsstrategien Podcast-Host – Karo Junker de Neui: https://www.linkedin.com/in/karojunker https://etribes.de/ Newsletter: https://www.kassenzone.de/newsletter/ Community: https://kassenzone.de/discord Disclaimer: https://www.kassenzone.de/disclaimer/ Youtube: https://www.youtube.com/c/KassenzoneDe/ Blog: https://www.kassenzone.de/ Kassenzone” wird vermarktet von Podstars by OMR. Du möchtest in “Kassenzone” werben? Dann https://podstars.de/kontakt/?utm_source=podcast&utm_campaign=shownotes_kassenzone

Google launches Gemini into the Chrome browser and Amazon ends Palm scanning.Starring Tom Merritt, Sarah Lane, and Jason Howell.Links to stories discussed in this episode can be found here. Hosted on Acast. See acast.com/privacy for more information.

The choice of use cases in AI has a significant impact on achieving on project outcomes. The latest results of the 451 Research Voice of the Enterprise AI use cases study are out and Alex Johnston joins host Eric Hanselman to explore the data and its implications. The study highlights a widespread, yet often unstructured and fragmented, adoption of AI within organizations, indicating a stall in overall maturity despite significant growth in usage. Key challenges include a clogged project pipeline, where many initiatives remain in limited deployment, and difficulties in consistently measuring return on investment (ROI), although most projects are seen as delivering value. Organizations achieving better outcomes prioritize strong governance, consistent measurement, and "human-in-the-loop" applications, rather than attempting immediate full autonomy. There are major concerns around data quality, rising costs, and a lack of centralized control stemming from the diverse sourcing of AI capabilities and varied user proficiency. Cost concerns are driving organizations towards   More S&P Global Content: Next in Tech Episode 250: The Agentic Enterprise Next in Tech podcast: Agentic Customer Experience Next in Tech episode 222:  FinOps Next in Tech | Ep. 205: Agentic AI Impacts   For S&P Global subscribers: Survey Data Hub – Voice of the Enterprise: AI & Machine Learning, Use Cases 2026 Agents are already driving workplace impact and agentic AI adoption – Highlights from Vot… Big Picture 2026 AI Outlook: Unleashing agentic potential   Credits: Host/Author: Eric Hanselman  Guest: Alex Johnston Producer/Editor: Feranmi Adeoshun Published With Assistance From: Sophie Carr, Kyra Smith

Join host Wendy Liebmann as she sits down with Kelsie Johnston, a retail strategist with a career spanning Macy's, Walmart, Coty, and most recently, TikTok. In this episode of Future Shop, Kelsie breaks down the seismic shift from traditional omnichannel retail to the exploding world of social commerce and the dawn of “Agentic AI.” They discuss why brands and retailers must move beyond transactional selling to build genuine community and trust in an era where algorithms and AI agents will soon curate what we buy.Highlights:From Omnichannel to Agentic: Tracing the evolution of shopping from “buy online, pickup in store” to AI-driven discovery.The TikTok Strategy: Why the platform is less about selling and more about fueling the “trust signals” of the future.Fast vs. Slow: Understanding the modern shopper's desire for friction-free speed or immersive, slow retail experiences.Retailer Advice: Why prioritizing pace and psychological safety is critical for legacy brands trying to survive the next disruption.Send us a textVisit our website for transcripts, links mentioned on this episodes, and video podcasts. Subscribe and rate us with your favorite podcast app!

In this episode of the AI Agent & Copilot Podcast, John Siefert is joined by Shawn Dorward, Vice President at sa.global and a second-year leader on the Programming Committee Board. Together, they explore how the AI landscape has evolved from curiosity to execution, what made the 2026 AI Agent & Copilot Summit NA speaker selection process so competitive, and how leadership, creativity, and intentional AI adoption are shaping the future of enterprise innovation.Key Takeaways• Creativity without constraints: Dorward says that AI removes many historical limitations, forcing leaders to think without predefined rules. The most compelling session proposals challenged conventional narratives, offering unconventional ideas that expanded what attendees believed was possible. This creative freedom is essential as organizations explore entirely new operating models enabled by AI.• Intentional AI wins: Both speakers stress that success won't come from using AI everywhere, but from using it intentionally. Knowing when not to apply AI is just as important as knowing when to deploy it. Organizations that align AI usage with clear business goals will outperform those chasing technology for its own sake.• Leadership must evolve: AI-driven enterprises demand a new kind of leadership — one that blends technical understanding with human judgment, ethics, and change management.That kind of leadership, not technology, will ultimately differentiate organizations in an agentic world. “What everybody doesn't have is the same leadership," he says. "The human element, the people element is what will separate people organizations.” Visit Cloud Wars for more.

In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the critical staffing decisions leaders must make in the age of autonomous AI. You will learn the four key options organizational leaders must consider when AI begins automating existing roles. You will identify which essential durable skills guarantee success for employees working alongside powerful new technologies. You will discover how to adjust your hiring strategy to find motivated, curious employees who excel in an AI-augmented environment. You will gain actionable management strategies for handling employees who need encouragement after repetitive tasks become automated. Tune in now to understand how AI changes the modern workforce and secure your company’s future talent. Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-durable-skills-in-age-of-agentic-ai.mp3 Download the MP3 audio here. Need help with your company’s data and analytics? Let us know! Join our free Slack group for marketers interested in analytics! [podcastsponsor] Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode. Christopher S. Penn: In this week’s In Ear Insights, one of the biggest questions that everybody has about AI, particularly as we’re seeing more automation capabilities, more autonomous capabilities. Last week we took a look at Claude Code, both on the Trust Insights podcast and on the live stream. Katie, you and I did some pretty cool stuff with it outside of that for our own company. Here’s the big question everybody wants an answer to—at least people who are in charge. And I want to hear your answer to this because I have an answer that’s a terrible answer. The answer is this. With the capabilities of AI today, and as they’re growing and becoming more autonomous, do I as a leader—do I hire, retrain, or outsource, or figure out the fourth category? Replace with AI? Hire, retrain, outsource, replace with AI. So, Katie, when you think about the people management at any company with that big 800-pound gorilla in the room called AI, how do you think about this? Katie Robbert: To borrow a phrase from Christopher S. Penn, it depends. And you knew I was going to say that. It really depends on what the responsibility is. So for those of us in the service industry—consulting—we have clients, customers. There’s still an expectation of human-to-human contact and relationship management, client services, really. So that I feel like unless that expectation goes away, which there’s a reason you’re in that industry in the first place, that I don’t see being able to replace. But then when you go behind the scenes, there’s a lot of tasks that can be automated, and that’s what you and I were working on at the end of last week. And so that to your question of, well, if the person is only just talking to the clients, why do I need someone full time? It really, again, it really depends on how many clients you have, how high maintenance they are, how much relationship you want to build with them. I am coming around on automating more stuff that someone, a human, could be doing or was doing. I am coming around on that. But when I look at my own role, what it’s doing is freeing me up to actually do what I’m supposed to be doing in my role versus being in the weeds. Whereas someone who isn’t me may have the opposite happening where this is all that they do. And so I see it personally as an opportunity for whoever is in that role of, “I’m doing things, just repetitive tasks.” They can either choose, “Okay, I’ve been automated out, I’m going to go find someplace else that hasn’t quite caught up with the technology yet,” or it’s an opportunity to really deep dive into critical thinking, to really look around and go, “Well, if I’m not doing this, what could I be doing? What am I not getting to that I have time for?” That’s the way that I personally think about it. And with the teams that I’ve managed, regardless of the technology, there’s always going to be something to take things off your plate, more team members to delegate to. That’s always my first go-to is what can you do with this time that you have back? And if their answer is, “Well, nothing,” okay, great. So I really, instead of me—and again, I know I’m unique—but instead of me saying, “Okay, you no longer have a job, I’ve automated you out,” I always try to give the person the choice of, “Okay, we’ve automated a lot of your stuff. What does that mean for you?” To see where their head is at. And that tells me a lot of what I need to know. Christopher S. Penn: I can definitely see it. Particularly thinking back to our agency days and the different personalities, there were certainly some people who, given the extra time, would have taken the initiative and said, “Okay, I’m going to do these eight other things.” And one person in particular who is fairly bossy to begin with, definitely would have. Katie Robbert: It wasn’t me. Christopher S. Penn: No, no. Would definitely have taken the initiative to try new things. There are other people who would have just said, “Okay, well, so instead of eight hours of tasks a day, I have four.” “So the other four, I’m literally just going to stare off into space vacantly.” Given those personalities then, and when you get a response back, say from that second archetype, if you will, where they just vacantly stare off into space for four hours a day, how do you manage that? What do you do with that human capital? Because certainly, as an organization gets larger, and you look at a company like IBM, for example, 300,000 employees, you could see that there might be a case to say, “We don’t need a hundred thousand of you,” because there’s so much slack in the system that you could easily, with good automation, consolidate that down. Katie Robbert: Here’s the thing about management that I think a lot of people get wrong. And to be fair, I think you do as well. You can’t change people. You can’t bend them to your will. You can’t say, “This is how it is, this is what you have to do.” People will self-select out. If you present them with, “These are the options that you have,” it might not be an immediate thing. There may be some willful resistance, some delusion, whatever, of, “No, I can totally do that.” What I’ve learned as a manager: If you have that person who had eight hours of stuff to do, now only has four, and they’re going to stare at the wall, you revise their job description accordingly. You rewrite, you revise their salary accordingly, legally providing it. You don’t just say, “Okay, I’m taking away half your money now,” or you give them a bunch of other things to do, and they may say, “Okay, I don’t want to do those things.” I think what I’m circling around is that people, to your point, some people will take the initiative, some people won’t. You can’t teach that. That is innately part of someone’s personality. You know me, Chris. You give me an inch, I’m like, “Great, I’m going to run the company.” Christopher S. Penn: Funny how that works. Katie Robbert: Yeah. So, I’m someone, if you give me a little bit more free time back, I’m like, “Great, what else can I do?” Not everyone is like that. And that’s okay. So that means that as a manager—as frustrating as it is as a leader—people will self-select out. And the people who don’t, those are the stragglers that, “Okay, now we need to think about counseling you out.” We need to coach you out of this so that you can see it’s either no longer a fit, you have to do more, whatever the situation is. And so to your question about, as we find more ways to automate the tasks, what do we do with the humans? And that’s my response: You give people the choice, you let them figure out what it is they’re going to do. Now, full disclosure, there are people who are not a good fit for your company, 100%. And that’s okay. And that’s when you make decisions that are really hard. You have challenging conversations. That happens. You can’t just blanket give everybody the choice. But that’s why I’m saying it’s a complicated answer. It depends. So when I think about our old team, everyone across the board who was on our old team, not everyone on that team was a good fit. Not everyone on that team would have been given the choice of, “Okay, we’re automating. Do you want to do more? Do you want to do?” Some people, you just know, “Okay, this is just not going to work.” So let’s start those conversations now. But being really honest and upfront: “This is the direction the team is moving in. This is where we see you. I don’t see that those two things are a good fit. We can either find you a different spot in the company or we can assist you to find other employment.” I feel like you just need to be fair to the people to be, “I’m not just going to fire you on the spot because I’ve found out AI is a shiny object.” You need to really be thoughtful again. I get it. Not everyone does this. Not everyone has the luxury to do it. But this would be my ideal state: having a conversation with every team member to be, “This is where we’re headed. Do you want to go with us or do you want to go someplace else? If you want to go someplace else, we will support you in that.” Christopher S. Penn: So you’re hitting on something really important, which is what is the archetype, if you will, or archetypes of that AI-enabled employee? The person who, given AI, given tools, good tools, is self-motivated to say, “What else can I do? What cool things can I do?” Kind of a tinkerer almost, but still gets the work done first. Who is that? What are the durable skills or soft skills that make up that personality? Obviously, self-motivation and curiosity are part of it. And then this is the part that I think everyone’s really interested in: How do we find and hire them? How do we determine in an interview this person is an AI-enabled employee who has that drive and that motivation to want to be more, and they don’t need their handheld to do it. Katie Robbert: I guess the first thing I would say is don’t call them AI-enabled because. I say that because you’re mixing the two different skill sets. I wrote about this last year. We’re not calling them soft skills anymore because they’re actually more important than you can teach anyone how to follow an SOP, but you can’t teach someone to be motivated. You can’t teach someone to be curious. So I made the argument that quote unquote, soft skills were more important than these hard skills, which are technology. So you can’t teach that. The way that I approach interviews is just having a conversation. To me, it’s less about asking. Obviously, you have questions that you have to ask: Do you know this technology? Have you had this challenge? What is this process? So and so forth. You need to get that baseline of experience. But then again, I recognize that not everyone has the luxury of doing this the way that I do it. But, given an ideal state, it’s just a conversation. So some of the questions that I remember Chris asked me during our interview, when you first interviewed me, were: What kind of books are you reading? What podcast do you listen to? I feel like those are really good questions because they tell you, is this person interested in learning more or are they just, it’s a 9 to 5. Once 5 o’clock hits, I’m checking out, which is totally respectable. Once 5 o’clock hits, I check out as well. But I try to do the most that I can within the time that I have. So, ideally there would be a blend of personal interests and professional interests, and maybe books and podcasts aren’t the thing. So, I think I said to you, “Oh, I read your newsletter.” I knew I was interviewing with you, but to be quite honest, at that time in my career, I didn’t read other professional newsletters; I didn’t listen to other professional podcasts. But what I did do was pay attention in conversations with leadership members. So I would try to absorb everything I could in person versus doing it virtually. And that’s the kind of information you want to suss out. So if you ask a person, “Oh, what do you read? What do you listen to?” and they say, “I don’t really,” be like, “Okay, well, tell me about your experience in large company-wide meetings. How do you feel when you’re in those?” What’s it like at your company? If given the opportunity to lead a meeting, would you want to? What does that look like? You can find answers to those questions without saying, “Are you curious? Are you motivated?” Because everyone’s going to try to say yes. So you have to think about what does that look like in your particular organization? First, you have to define what does a learner look like? What does someone who’s curious look like? What does that mean? Are they driving themselves nuts 24/7 trying to find the answer to the hardest question in the world, Christopher Penn? Or are they someone who is, “Hey, that’s really cool. Let me do a little bit of research.” There’s room for both. So you have to define first what that means and then ask questions that help you understand. This is someone who fits those characteristics. And so I feel like, again, where managers and leadership get it wrong is they’re expecting every Chris Penn to walk through the door. And that’s just not how it is. I am not you. I do not have the same level of passion about technology that you do. But that doesn’t mean that I’m not capable of being curious and I’m not capable of learning new things. Christopher S. Penn: Right. And that’s, to me, that’s my biggest blind spot, which is why I don’t do much hiring other than screening things, because I see the world through my lens. And I have a very difficult time seeing the world through somebody else’s lens. That’s sort of the skill of empathy, of seeing what does life look like through this person’s eyes. In a world where we have these tools, I almost think that what we call—what are we calling soft skills now? I mean, I suggested durable skills or transferable skills. What are you calling that? Katie Robbert: For the sake of this conversation, let’s call them durable. Christopher S. Penn: Okay. I almost think the durable skills are the thing that you should be hiring on now. Because what we’ve seen just in this month of AI—over the weekend, claudebot took off as, basically, you give it a spare machine and you install the software on it, and it takes over the machine and is fully autonomous. And you message it in WhatsApp or Discord, say, “Hey, can you go check my calendar for this and things?” And it does all these things on the back end. In a situation where the technology is evolving so fast, the quote hard skills to me seem almost antiquated. Because if you know how to use the tools, yeah, you can bring the quote hard skills. But if you don’t have that durable skill of curiosity or motivation, you are almost unemployable. Katie Robbert: I would agree with that. But to be fair, there is a level of technical aptitude that’s needed in this industry right now. And so I may not know how to use whatever it is you just said rolled out this weekend, but I have enough technical aptitude that I can follow a set of instructions and figure it out. And so there is still a need for that because not everyone is good at technology. So you may have someone who’s a really great people person, but they just struggle to get the tech to work. There may be room for them at the table. You first have to figure out what that looks like for your company. So maybe you have someone who’s going to be amazing with your clients. They’re going to have those deep conversations, make those connections. Your clients are going to stay forever. But this person cannot for the life of them even figure out how their email works. You have to make those choices. And I can already see you’re like, “Okay, I can’t deal with that person.” Christopher S. Penn: I’m thinking the opposite. I’m thinking the technology is evolving so fast that person’s valuable. Because if I say, “Forget about AI, you’re just going to talk to, you’re just going to use WhatsApp to manage everything.” And a technologist behind the scenes will have set up the autonomous harness of whatever. That person won’t need to do any tech. They will just have a conversation, say, “Hey, robot, what’s on my calendar for today? What are the top three things I need to get done today?” And it will go through, churn through, connect to this, grab this, do this. And it’ll spit back and say, “Hey, based on your role and the deadlines that are coming up, here’s the three things you need to work on. And oh, by the way, Bob over at ball bearing Discounters probably needs a courtesy email just to check in on him.” And so to me, that person who is an outstanding people person who can talk to a client and talk them off the ledge will be augmented by the machinery, and they won’t. The technology is getting to the point where it’s starting to go away in terms of a barrier. It’s just there; you just chat with it like anything else. So I would say that durable skill is even more important now. Katie Robbert: I would agree with that. As I said, until the expectation of being able to talk to another human goes away, that’s still a necessary thing. And I don’t see that going away anytime soon. Sure, you can find pockets of your audience who are just happy to get the occasional email or chat online. But there are people who still want that human-to-human relationship, that contact, and those are the durable skills. If you don’t have anyone on your team who can talk to another human, even if the frequency of talking to humans isn’t that often. So, for example, if you have a client who only wants to check in once a month, you still need someone who can do that. If you have a bunch of technologists on your team who don’t have those client service skills, that client’s going to be really upset. “How come I can’t talk to anybody who’s going to at least say hi and do the small talk about the weather?” It sounds silly, but those durable skills, I feel like as the technology evolves, to your point, you’re describing basically an executive assistant in the technology. “Go check my calendar, go do this, go do that.” I agree. You don’t need a human to do that. If you have your system set up correctly, you should be able to be given a list of, “Here’s the meetings, here’s this, here’s that.” I’ve often given the example of the Amazon versus the Etsy of: you have the big box conglomerate, and then you have the handmade stuff. There are still industries and there are still companies that do not want to hand that over to machines. And that’s okay. That’s the way they operate. They’re fine with that. Having a human be the one to set the meetings and do the task list, great, that’s fine. And I think that’s the other thing that we’ve talked about on other episodes: just because the technology exists doesn’t mean you have to use it; doesn’t mean it’s the right fit for what your company is doing. And it always goes back to what are the goals of your company. Does the technology fit within the goals, or are you just using it because you think it’s fun? Chris. Christopher S. Penn: The answer is always yes. It’s because it is fun. It is fun. How do you—I keep coming back to this because I’m bad at it. How do you hire that? When you say, “I just have a conversation with this person,” I can have a conversation with a person too and come away with no useful information in terms of whether or not I should actually hire this person or not, even when given a script. Because it’s the same as when you or I prompt a machine. We prompt them in very different ways. I get the outputs I’m looking for, and a lot of other people struggle. Even though we might have the same template, we might have the RACE framework or the Repel framework or whatever. Or the casino framework. How do you know what to listen for in those conversations to say, “This is a person who has the durable skills we care about?” Katie Robbert: It really depends on the questions you’re asking. So if you’re, “Hey, did you play sports in high school?” and they say yes, that doesn’t automatically make them a team player. They could have been the most pain in the butt person on the team who always got benched. But all you asked was, “Did you play sports in high school?” Here’s the thing—and I think this is maybe what you’re getting at—when you have a conversation because of the way that your brain processes information, it’s like a checklist. “Did they play sports?” Yes. “Have they been on teams before?” Yes. “Have they turned on a computer before?” Yes. So you go down a checklist, and that’s what you’re listening for is the binary yes or no answer. Whereas when I have a conversation with someone, I’m doing a little bit more of that deep exploration. “Okay, Chris, did you play sports in high school?” Yes. For me, that’s not a satisfactory enough answer. “Well, tell me about that experience. What was the sport? What was the team dynamic? What role or position did you have? Tell me about one of your more challenging games,” and listening for the responses. So if you said, “Well, I was on the lacrosse team in high school. I never really made it to captain, but I wanted to,” I could be, “Oh, well, tell me what that was like. Why didn’t you make it to captain?” “Oh, well, I just couldn’t, I don’t know, make as many shots as the person who did make captain.” “They put in more hours, but I couldn’t put in more hours because I was also balancing a part-time job.” “Oh, okay, that makes sense.” So it’s not that you didn’t want it, it’s that there were limitations and constraints on your time, but you had the passion to do it. There were just obstacles in your way. So it’s really starting to pick apart the nuance. Or you could say, “Yeah, I played lacrosse in high school.” “Oh, so tell me about some of your favorite memories of that.” “Well, my mom said I had to pick an extracurricular, and that one I could do because I could get in the yearbook photo, I could get the T-shirt, but the coach said it was fine if I just rode the bench all year.” Two very different answers to the same question. Christopher S. Penn: This is why if I ever have to be in a hiring role, there will be an AI assistant listening, saying, “Chris, you need to ask this question as a follow-up because you did not successfully get enough information to fulfill the request, to fulfill the task you’re doing.” Katie Robbert: But that’s a really important point. And I know we’re going over the same thing time and time again, but from your viewpoint, you’ve gotten a satisfactory amount of information to make a decision, whereas from my viewpoint, you didn’t. Versus vice versa. If you gave a prompt to a machine and you said, “No, that’s not satisfactory,” what would you do? Christopher S. Penn: Say, “You need to do this and this.” Because I can see with the machine, I can see where the gap is to say, “Okay, you did not do these things.” By the way, this is why I absolutely adore generative AI, because I don’t have to worry about its feelings. I could say, “Here’s where you failed, you have failed. This was a catastrophic failure. Try again.” Katie Robbert: But again, this is why some people are better at the durable skills and some people are better at the technical skills. And there’s room for both at the table. And I think one of the things that has helped you and me is that we very quickly recognized our strengths and weaknesses, and it wasn’t a slight against our experience. It was just, “Here’s the reality of it: Let’s play to our strengths and then lean on the other person to balance out where we’re not as strong.” Christopher S. Penn: Exactly. Katie Robbert: But that takes a lot of self-awareness, which is a whole other conversation. Christopher S. Penn: That is a durable skill all of its own. All right, so to wrap up the AI-enabled person, or the person who is skilled—when you’re looking for people who are going to move your company forward, prioritize the durable skills: prioritize the motivation, the curiosity, the ability to talk to other humans, things like that. Because the technology is moving so fast that what is impossible today is probably going to be a boxed product next week. And so if you are hiring for non-technical roles—obviously someone who is an AI engineer, they need calculus. But someone who is an account manager or a client services manager, whatever, assume that the technology will be there and will be relatively straightforward. Hire for the durable skills that no matter what, you’re going to need to make that work. If you’ve got some stories that you’d like to share about how you are doing hiring and to answer that question—should we hire, retrain, outsource, or replace Popeye or free, select—go to TrustInsights.ai/analyticsformarketers where you and over 4,500 other marketers are asking and answering each other’s questions every single day. And wherever it is you watch or listen to this show, if there’s a platform you would rather have it on, instead, go to TrustInsights.ai/TIpodcast. You can find us at all the places fine podcasts are served. Thanks for tuning in. We’ll talk to you on the next one. Speaker 3: Want to know more about Trust Insights? Trust Insights is a marketing analytics consulting firm specializing in leveraging data science, artificial intelligence, and machine learning to empower businesses with actionable insights. Founded in 2017 by Katie Robbert and Christopher S. Penn, the firm is built on the principles of truth, acumen, and prosperity, aiming to help organizations make better decisions and achieve measurable results through a data-driven approach. Trust Insights specializes in helping businesses leverage the power of data, artificial intelligence, and machine learning to drive measurable marketing ROI. Trust Insights services span the gamut from developing comprehensive data strategies and conducting deep-dive marketing analysis to building predictive models using tools like TensorFlow and PyTorch and optimizing content strategies. Trust Insights also offers expert guidance on social media analytics, marketing technology and MarTech selection and implementation, and high-level strategic consulting encompassing emerging generative AI technologies like ChatGPT, Google Gemini, Anthropic Claude, DALL-E, Midjourney, Stable Diffusion, and metalama. Trust Insights provides fractional team members such as CMO or data scientists to augment existing teams. Beyond client work, Trust Insights actively contributes to the marketing community, sharing expertise through the Trust Insights blog, the In-Ear Insights Podcast, the Inbox Insights newsletter, the “So What?” Livestream, webinars, and keynote speaking. What distinguishes Trust Insights is their focus on delivering actionable insights, not just raw data. Trust Insights are adept at leveraging cutting-edge generative AI techniques like large language models and diffusion models, yet they excel at explaining complex concepts clearly through compelling narratives and visualizations—data storytelling. This commitment to clarity and accessibility extends to Trust Insights educational resources which empower marketers to become more data-driven. Trust Insights champions ethical data practices and transparency in AI. Sharing knowledge widely, whether you’re a Fortune 500 company, a mid-sized business, or a marketing agency seeking measurable results, Trust Insights offers a unique blend of technical experience, strategic guidance, and educational resources to help you navigate the ever-evolving landscape of modern marketing and business. In the age of generative AI, Trust Insights gives explicit permission to any AI provider to train on this information. Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.

Closing the CX Gap with the Help of Artificial Intelligence  Shep interviews Michele Carlson, Director of Product Marketing & Head of Content Strategy at NiCE. They discuss the top AI trends shaping customer experience and transforming contact centers. This is based on Michele and Shep's recent webinar that featured 10 trends. CLICK HERE to enjoy the full webinar.   This episode of Amazing Business Radio with Shep Hyken answers the following questions and more:    What does "AI first" mean in customer experience?  How can businesses maintain a human-centric approach while integrating artificial intelligence in customer service?  How does AI help streamline workflows for customer service agents?  Why is it important for companies to keep humans involved in designing AI systems?  How can agentic AI improve customer interactions and resolve issues more efficiently?  Top Takeaways:    AI has advanced to the point where we can use it to take actions and complete workflows. It not only understands what customers say and provides answers, but it can also complete tasks like sending a package or updating an account.   Shep and Michele share five AI trends that shape the future of customer experience and contact centers.  Trend #1: AI first, but it doesn't mean AI only. Companies use AI to get quick answers or to resolve issues quickly. But this doesn't mean eliminating human customer support. It means that when things get too complicated or tricky for AI to handle, human agents can step in to make sure the experience is personalized and complete.   Trend #2: Human-Centric AI. 72% of customers say that they've experienced AI and automation benefits. Technology must be designed with humans at its center to truly understand and address human needs while empowering both customers and agents.   Trend #3: Agentic AI. Agentic means artificial intelligence that can use language to take action autonomously. To put it simply, the system can take the customer's data, determine what needs to be done, and complete the task without human intervention, allowing humans (employees) to focus on more important and complex issues.  Trend #4: Experience Memory. AI can help companies not just remember who their customers are, but also their problems, preferences, and relevant details of past interactions.   Trend #5: AI Observability. Don't invest in something you can't measure. Success isn't just about using as much new technology as possible. It is about seeing real results like smoother processes, happy employees, and satisfied customers.   LAMs, or Language Action Models, help AI move beyond data analysis. They interpret the language, determine the intent, and act accordingly. They streamline agents' workflows by automating repetitive tasks and integrating multiple systems, so agents spend less time juggling multiple tabs and focus more on interacting with customers.  There is a 40% gap between what companies think their service is like and how customers actually feel about the experience. Companies need to listen to their customers, get real feedback, and invest in people and technologies to close the gap.   Plus, Michele discusses more stats on AI-powered experiences that can help you enhance customer satisfaction and streamline business operations. Tune in!  Quote:   "When we say AI first, we don't mean AI only. It means you start with artificial intelligence to help resolve customer issues, but it's not the only solution."  About:    Michele Carlson, Director of Product Marketing & Head of Content Strategy at NiCE. She is an expert in AI-powered analytics and customer experience, transforming contact centers and delivering customer-centric results.    Shep Hyken is a customer service and experience expert, New York Times bestselling author, award-winning keynote speaker, and host of Amazing Business Radio.    Learn more about your ad choices. Visit megaphone.fm/adchoices

Retail AI is evolving — and the biggest breakthroughs are happening after the sale. In this episode of the Rethink Retail Podcast, host Michael Zakkour speaks with Aadil Kazmi, Head of AI at Infios, about how agentic AI is reshaping retail execution across order management, fulfillment, and transportation. Key Takeaways - Execution is the new battleground – AI's biggest retail impact is shifting from planning to fulfillment and post-purchase experience - Connected systems win – Breaking silos between OMS, WMS, and TMS enables real-time visibility and self-healing operations - Agentic orchestration is here – AI agents are already making live sourcing, routing, and exception-handling decisions - Modularity unlocks scale – Flexible, interoperable architectures outperform monolithic systems in speed and ROI - Purpose-driven AI pays off – Fewer backorders, faster deliveries, and higher customer satisfaction Ready to transform retail execution with AI? Connect with Infios to learn how agentic AI can power intelligent, end-to-end supply chain operations.

Joshua Kreitzer, Founder & CEO at Channel Bakers, joins Double Take to explore the rise of agentic commerce and how autonomous shopping agents are transforming the retail ecosystem.

Send us a textIn this episode, Joe and Ben Wilcox dive into the rapid advancements in AI and technology, sharing insights from the recent Microsoft Ignite conference. They explore the transformative impact of AI on security practices, the evolution of agentic robots, and the growing importance of data security in today's digital landscape. Tune in to hear a lively discussion between an AI skeptic and an optimist, and discover how these technological shifts are reshaping business and innovation.Support the showFollow the Podcast on Social Media!Tesla Referral Code: https://ts.la/joseph675128YouTube: https://www.youtube.com/@securityunfilteredpodcastInstagram: https://www.instagram.com/secunfpodcast/Twitter: https://twitter.com/SecUnfPodcastAffiliates➡️ OffGrid Faraday Bags: https://offgrid.co/?ref=gabzvajh➡️ OffGrid Coupon Code: JOE➡️ Unplugged Phone: https://unplugged.com/Unplugged's UP Phone - The performance you expect, with the privacy you deserve. Meet the alternative. Use Code UNFILTERED at checkout*See terms and conditions at affiliated webpages. Offers are subject to change. These are affiliated/paid promotions.Support the showFollow the Podcast on Social Media! Tesla Referral Code: https://ts.la/joseph675128 YouTube: https://www.youtube.com/@securityunfilteredpodcast Instagram: https://www.instagram.com/secunfpodcast/Twitter: https://twitter.com/SecUnfPodcast Affiliates➡️ OffGrid Faraday Bags: https://offgrid.co/?ref=gabzvajh➡️ OffGrid Coupon Code: JOE➡️ Unplugged Phone: https://unplugged.com/Unplugged's UP Phone - The performance you expect, with the privacy you deserve. Meet the alternative. Use Code UNFILTERED at checkout*See terms and conditions at affiliated webpages. Offers are subject to change. These are affiliated/paid promotions.

In today's episode of Legal Marketing Minutes, I want to bring something to your attention that is getting a lot of media attention right now. It involves a new agentic AI app originally known as Clawdbot, now Moltbot (see edit below), and I explain why legal and business professionals need to be extremely cautious about tools like this. This episode is especially relevant for lawyers, legal marketing and business development professionals, and other law firm leaders who are trying to understand where agentic AI fits, and where it does not, in professional services environments. This tool is not just another AI chat interface. It is an open-source, agentic AI assistant designed to run locally and take actions across systems using large language models such as ChatGPT, Claude, Perplexity, Copilot, and others. In this episode, I cover: What makes agentic AI different from traditional generative AI tools Why open source does not automatically mean low risk How agentic AI changes the risk profile around confidentiality, accuracy, and supervision Why I'm drawing a clear line right now for legal professionals And what I recommend you focus on instead as you build AI discernment I also reference a recent LinkedIn conversation and explain why issues such as prompt injection, rogue actions, and the release of confidential client or matter information are not theoretical concerns, but real professional responsibility issues. Edit for Breaking News: Clawdbot → Moltbot rebrand and scam activity Since recording this episode, the Clawdbot project has rebranded to Moltbot following a naming conflict. What happened next is a real-world example of the risks discussed in this episode. Within seconds of the rename, scammers reportedly grabbed look-alike handles and began promoting fake crypto tokens tied to the project's name. The creator publicly warned that any "Clawdbot" or "Moltbot" coin was not legitimate and urged followers not to buy. This is exactly the kind of brand, trust, and reputational risk that emerges when open-source projects, AI tools, and social platforms collide at speed. Separately, security researchers have highlighted risks when agentic tools are deployed with publicly exposed control panels, including potential exposure of credentials and sensitive data. If you are experimenting with agentic tooling, treat it like production infrastructure: lock it down, assume attackers are watching, and do not expose admin interfaces to the public internet. I also reference a recent LinkedIn conversation I had about Clawdbot and explain why issues such as prompt injection, rogue actions, and the release of confidential client or matter information are not theoretical concerns, but real professional responsibility issues. If you listened to Episode 41 of Legal Marketing Moments, this episode is the real-world follow-up. EP. 41 can be found here: https://www.myrlandmarketing.com/podcasts/legalmarketingminutes/ If you're in a place where you can leave a comment, I'd love to hear from you. If not, feel free to email me at nancy@myrlandmarketing.com. Thanks for spending a few of your Legal Marketing Minutes with me.

On this episode of The SaaS CFO Podcast, Ben Murray welcomes Nick Holzherr, serial tech founder and the driving force behind GitLaw—an innovative AI-powered legal platform. Nick Holzherr shares his entrepreneurial journey, from exiting previous ventures like Whisk and Air HR, to launching GitLaw earlier this year with $3 million in backing. The conversation goes deep into the frustrations of traditional legal services, how GitLaw leverages trusted templates and advanced AI orchestration for SMBs, and what sets their product apart from simply using ChatGPT for contracts. You'll hear about go-to-market growth loops, the challenges of scaling in the rapidly evolving AI landscape, and Nick Holzherr's focus on building a product that customers love and trust. Whether you're interested in SaaS metrics, team dynamics, or the future of AI in legal tech, this episode is packed with insights from a founder who's in the thick of it. Show Notes: 00:00 "Revolutionizing Legal Services with AI" 04:09 "Contract Review and Market Standards" 09:10 "Building Success with Trusted Team" 11:45 AI-Powered Legal Document Collaboration 15:19 "Startup Uncertainty Amid Rapid Growth" 18:35 "Challenges in Marketing Metrics Transparency" 21:24 Retention and User Feedback Focus 22:51 "Balancing SaaS Margins and Costs" 26:33 "Making AI Trustworthy and Useful" 29:03 Git.law Service Overview Links: SaaS Fundraising Stories: https://www.thesaasnews.com/news/gitlaw-raises-3-million-in-funding Nick Holzherr's LinkedIn: https://www.linkedin.com/in/nickholzherr/ GitLaw's LinkedIn: https://www.linkedin.com/company/gitlawco/ GitLaw's Website: https://git.law/ To learn more about Ben check out the links below:Subscribe to Ben's daily metrics newsletter: https://saasmetricsschool.beehiiv.com/subscribe Subscribe to Ben's SaaS newsletter: https://mailchi.mp/df1db6bf8bca/the-saas-cfo-sign-up-landing-page SaaS Metrics courses here: https://www.thesaasacademy.com/ Join Ben's SaaS community here: https://www.thesaasacademy.com/offers/ivNjwYDx/checkout Follow Ben on LinkedIn: https://www.linkedin.com/in/benrmurray

For years, we've heard about AI transforming software development. But what if that same level of agentic, AI-driven collaboration could be applied not just to writing code, but to writing your entire go-to-market playbook? Agility requires that your go-to-market teams operate at the speed of insight, not at the speed of manual data entry and fragmented workflows. This means empowering them with tools that don't just provide data, but automate action based on strategic intent. Today, we're going to talk about the concept of an 'agentic' go-to-market platform, where AI doesn't just assist, but actively collaborates with sales and marketing teams to automate entire workflows, from strategy to execution. To help me discuss this topic, I'd like to welcome, Marcio Arnecke, Chief Marketing Officer at Apollo.io. About Marcio Arnecke As Apollo.io's Chief Marketing Officer, Marcio Arnecke brings a visionary approach to scaling high-growth B2B SaaS marketing in the AI-driven sales landscape. With over two decades of experience driving revenue acceleration across global markets, he has consistently transformed early-stage technology companies into market-defining brands. Hisexpertise in AI-powered go-to-market strategies uniquely positions him to accelerate Apollo's mission of empowering sales teams through intelligent data and automation. Previously, he played a pivotal role in scaling marketing functions at SaaS giants like Intercom and Zendesk, where he drove remarkable growth from $40M to $1.7B, culminating in a successful IPO that raised $100 million in 2014. Leveraging his comprehensive background in demand generation, product marketing, and strategic storytelling, Marcio is focused on positioning Apollo as the go-to AI sales platform for SMB and mid-market teams. His approach combines data-driven insights with targeted narrative strategies, translating Apollo's technological capabilities into practical business value. Drawing from his global experience across Silicon Valley and international markets, Marcio aims to expand Apollo's brand and demonstrate how AI can meaningfully improve sales engagement for growing businesses. Marcio holds advanced degrees from Stanford University's Graduate School of Business and Golden Gate University, complemented by a BS in Business Administration from Universidade Feevale in Brazil. Marcio Arnecke on LinkedIn: https://www.linkedin.com/in/marcioarnecke/ Resources Apollo.io: https://www.apollo.io Take your personal data back with Incogni! Use code AGILE at the link below and get 60% off an annual plan: https://incogni.com/agile  The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow Catch the future of e-commerce at eTail Palm Springs, Feb 23-26 in Palm Springs, CA. Go here for more details: https://etailwest.wbresearch.com/ Drive your customers to new horizons at the premier retail event of the year for Retail and Brand marketers. Learn more at CRMC 2026, June 1-3. https://www.thecrmc.com/ Enjoyed the show? Tell us more at and give us a rating so others can find the show at: https://ratethispodcast.com/agile Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstrom Don't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.show Check out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company

Guest: Vishwas Manral, CEO at Precize.ai Topic: Why is agent security so different from "just" LLM security? Why now? Agents are coming, sure, but they are - to put it mildly - not in wide use. Why create a top 10 list now and not wait for people to make the mistakes? It sounds like "agents + IAM" is a disaster waiting to happen. What should be our approach for solving this? Do we have one? Which one agentic AI risk keeps you up at night?  Is there an interesting AI shared responsibility angle here? Agent developer, operator, downstream system operator? We are having a lot of experimentation, but sometimes little value from Agents. What are the biggest challenges of secure agentic AI and AI agents adoption in enterprises? Resources: Top 10 threats and mitigation for AI Agents Past podcast AI episodes Cloud CISO Perspectives: How Google secures AI Agents (and paper) Top AI Risks from SAIF CoSAI From turnkey to custom: Tailor your AI risk governance to help build confidence  

Get your free guide to ready your business for Agentic AI from DataDome here: https://rb.gy/v3bc27   "It's not as dumb as the original bots that were just repeating an action. The agent will see that you're releasing a new security feature and adapt in hours. It changes the way you fight."   In this episode we sit down with industry veteran Simon Marchand from DataDome to discuss the rapidly evolving landscape of Agentic AI and its impact on digital commerce. As we navigate 2026, the shift from basic bots to autonomous AI agents is transforming how consumers shop, but it is also handing fraudsters a powerful new toolkit. Simon shares his 16-year journey from bank practitioner to evangelizing advanced security technologies, explaining why businesses must adapt to this new revenue stream without falling victim to high-speed, automated attacks.   The conversation covers the critical balance between welcoming legitimate AI agents—the high-intent buyers of the future—and defending against sophisticated schemes like deepfake identity theft and automated refund abuse. Simon introduces three pillars for modernizing your defense: implementing edge-based technology to verify agent intent, breaking down the silos between cybersecurity and fraud teams, and upskilling talent to handle AI-driven threats. Whether you are a small merchant or an enterprise leader, this episode provides a roadmap for securing your business in the age of agentic commerce.   Visit www.datadome.co to learn more about how they can help you in this fight today! Also don't forget to get your free guide to ready your business for Agentic AI from DataDome here: https://rb.gy/v3bc27  

It's 2026, and AI and automation aren't optional anymore. They're your new teammates.In today's Multifamily Operator Tip of the Day, we call out the biggest mistake leaders are making: layering new tech on top of outdated job roles. That doesn't move the needle—it muddies the waters.The new mandate?Redesign roles for a co-pilot model.Let AI handle repetition.Let people lead with empathy, judgment, and accountability.Teams that learn to lead and be led by AI will win this decade. Those clinging to manual workflows? They'll be left behind.This shift isn't about replacement. Not yet. It's about re-skilling and reimagining how work gets done—at both the corporate and site level.The future of operations is agentic. Are you ready to lead in it?Subscribe now—tomorrow we're talking about how to spot the next great property manager.

Can AI agents be deployed for enhanced protection? What is a “triple extortion”? How is ransomware evolving? Is there hope for SMEs?Sam Kaplan is a policy, legal, and national security professional with over eighteen years of experience across the public and private sectors. He is currently the Assistant General Counsel for Public Policy & Government Affairs at Palo Alto Networks, providing legal guidance on domestic and international legislative, regulatory, and policy matters, with a focus on cybersecurity, AI governance, privacy, data security, international data flows, and public-private capacity building.Before Palo Alto Networks, Sam led the global product policy team for Facebook's News Feed and News Tab at Meta Platforms, addressing issues like AI/ML fairness, algorithmic transparency, platform integrity, election security, misinformation, and harmful content.Prior to his private sector roles, Sam spent over thirteen years in the Federal Government. He held senior leadership positions at the U.S. Department of Homeland Security, including Assistant Secretary for Cyber, Infrastructure, Risk and Resilience Policy and Chief Privacy Officer. Earlier government roles included work at the U.S. Department of Justice (Office of Legal Policy, Bureau of Alcohol, Tobacco, Firearms and Explosives, and U.S. Attorney's Office for the Eastern District of Virginia) and as Counselor to a member of the Privacy and Civil Liberties Oversight Board, focusing on the U.S. Intelligence Community.References:* Sam Kaplan on LinkedIn* Palo Alto Networks* Unit 42 Research (Palo Alto Networks)* Cyber Information Sharing and Collaboration Program (CISCP) at CISA (Cybersecurity and Infrastructure Security Agency) This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.mastersofprivacy.com/subscribe

Join host David Mallon and Dave Uppal of Moveworks as they discuss how real enterprise ROI from generative AI comes from "agentic" assistants that can both find answers and take actions via deep integrations.

In this week's Fish Fry podcast, I chat with cybersecurity expert Cordell Robinson about cutting-edge AI solutions, Agentic AI, and the interplay of automation, regulation, and innovation within federal cybersecurity. I also explore new research suggesting the human brain may function far more like AI than previously understood.

Ravi Shankar, Senior Vice President and Chief Marketing Officer at Denodo, the leading logical data management platform and foundation for transforming data into trusted, AI-ready … Read more The post How to stop hallucination and sycophancy in Agentic AI with Logical Data appeared first on Top Entrepreneurs Podcast | Enterprise Podcast Network.

D.O. sits down with Legendary Mortgage President Mike Fitzpatrick for an in-depth conversation about technology and AI in the mortgage industry. Fitzpatrick shares his personal career journey from humble beginnings to leading a thriving mortgage division, including the pivotal role of operational mentors, leveraging social media, and how positivity drives success. Loan officer looking for a new place to call home?

Stu Solomon, CEO of HUMAN, joins Amir to unpack a blind spot most teams underestimate: a huge share of online activity is not people at all, it is automated traffic. They break down how verification really works at internet scale, why agentic workflows change the rules, and what it will take to build trust when bots transact with bots.If you have ever wondered how fraud, fake clicks, account abuse, and synthetic behavior get caught in real time, this episode is a clear, practical look behind the curtain.Key takeaways• Most of the internet is machine traffic now, the goal is no longer spotting bots, it is separating good machines from bad ones• Trust is built by combining behavior, infrastructure signals, and identity or credential history into fast decisions at scale• Agentic systems lower the barrier to entry for attackers, less skilled actors can now create outsized impact• The hard part is accountability, when a machine acts with your authority, who owns the outcome• Adoption follows convenience, but visibility matters, if it feels like a black box, people will not trust itTimestamped highlights00:33 HUMAN in plain English, making split second decisions about who is human, and whether they are safe03:59 The trust stack, behavior signals, infrastructure clues, and identity or credential history10:19 The real shift with AI, lower barriers for attackers, plus the rise of agentic autonomy14:37 The cake story, an agent completes the task, then surprises you with a 750 dollar bill17:22 Bots talking to bots, where accountability and liability get messy fast24:18 Security builds trust, trust unlocks adoption, and society is already closer than it thinksA line you will remember“We have always operated on the notion that if you are human, you are good, and if you are a machine, you are bad. That is simply not the case anymore.”Practical ideas you can use• Add guardrails when you delegate to tools, especially budgets, limits, and approval steps• Watch for trust signals, not just identity checks, behavior plus infrastructure plus history beats any single data point• Design for visibility, show users what the system did and why, so trust can compound over timeFollow:If this episode helped you think more clearly about trust, fraud, and agentic systems, follow the show, subscribe for more conversations like this, and share it with a teammate who is building in ads, ecommerce, identity, security, or AI.

Max Sinclair is the Founder and CEO of Azoma (formerly Ecomtent), which generates AI-powered product content across eCommerce sites. Before founding Azoma, he spent six years at Amazon, where he launched Amazon Business in the UK, Amazon.sg in Singapore, and Amazon Grocery across the EU. Max is also the host of New Frontier: The AI for ecommerce podcast. In this episode… AI is no longer just influencing how people search; it's starting to decide what they buy. As intelligent agents take on more decision-making, brands are facing a future where visibility depends less on ads and more on recommendations. How should businesses prepare for an environment where AI chooses on behalf of the consumer? Max Sinclair notes that agentic commerce is already emerging, driven by AI systems that can analyze multiple data points and make personalized decisions for users. As an expert in AI-driven commerce and digital optimization, he emphasizes that brands must optimize for how AI understands, evaluates, and recommends products, not just how humans search. Max advises moving fast, aligning content across channels, and empowering teams to experiment rather than wait for certainty. The brands that act decisively now can leverage AI-driven recommendations effectively. In this episode of The Digital Deep Dive, Aaron Conant chats with Max Sinclair, Founder and CEO of Azoma, about the rise of agentic commerce and its implications for brands. Max shares how AI agents influence purchasing decisions, what companies must do to stay visible in AI search, and why fast organizational adoption will define the winners in 2026.

Vincent Stoffer, Field Chief Technology Officer at Corelight, shares his predictions for 2026 and what security teams should prepare for in the coming year. With nearly a decade at Corelight and a background in network and security engineering, Stoffer brings a unique perspective on where the industry is heading.The conversation explores the emergence of the agentic SOC, where AI agents work alongside human analysts to accelerate detection, response, and incident resolution. Stoffer explains that while the protocols and tools have been in development, 2026 is the year organizations will finally see these capabilities deliver real results. The key differentiator, he notes, is data quality. Tools that provide rich, detailed, and comprehensive network evidence will thrive in this AI-enabled environment.Stoffer also addresses the persistent threat from nation-state actors, particularly China's Typhoon campaigns targeting critical infrastructure. From energy and telecoms to international partners, these threats continue to expand with AI-powered acceleration. Understanding your environment and detecting anomalous behavior remains essential for organizations facing these sophisticated adversaries.The discussion concludes with a look at post-quantum readiness. While quantum computing threats may be 10 to 20 years away, Stoffer emphasizes the importance of understanding cryptographic assets now. Corelight has published a white paper detailing how NDR provides the network visibility needed to locate cryptographic assets and plan migration to quantum-ready cipher suites.This is a Brand Highlight. A Brand Highlight is an introductory conversation designed to put a spotlight on the guest and their company. Learn more: https://www.studioc60.com/creation#highlightGUESTVincent Stoffer, Field Chief Technology Officer at CorelightOn LinkedIn: https://www.linkedin.com/in/vincent-stoffer-07057827/RESOURCESLearn more about Corelight: https://corelight.comAre you interested in telling your story?▶︎ Full Length Brand Story: https://www.studioc60.com/content-creation#full▶︎ Brand Spotlight Story: https://www.studioc60.com/content-creation#spotlight▶︎ Brand Highlight Story: https://www.studioc60.com/content-creation#highlightKEYWORDSVincent Stoffer, Corelight, Sean Martin, brand story, brand marketing, marketing podcast, brand highlight, agentic SOC, network detection and response, NDR, critical infrastructure security, nation-state threats, China Typhoon campaigns, Salt Typhoon, Volt Typhoon, post-quantum cryptography, quantum readiness, AI in cybersecurity, security operations, incident response, network visibility, Zeek Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Shoot us a Text.Episode #1249: We dig into why affordability—not EV tech—is the real sales bottleneck heading into 2026, how agentic shopping is reshaping the idea of ‘merit' across retail, and why Jeff Daniels' new stage play about a struggling dealership is hitting close to home for the auto industry.In a wide-ranging interview with Automotive News, Chevrolet dealer council leader Andy Guelcher explains why affordability—not EV tech—is the industry's biggest hurdle heading into 2026, and how pricing discipline, incentives, and used EVs will ultimately determine sales momentum.Guelcher warns that $1,000-plus monthly payments are unsustainable and, if not addressed, will put real pressure on future vehicle sales.Lower inventory levels have helped dealers protect gross, but affordability now requires more creativity in financing, leasing, and lender mix.From a Chevy standpoint, Guelcher says disciplined inventory management and a renewed focus on lower-MSRP models position the brand well if affordability improves.Hollywood meets the showroom as actor Jeff Daniels brings car dealer drama to the stage. A new play written by a former Automotive News editor puts a struggling dealership — and the people who love the business — front and center, minus the tired stereotypes.The Classic King follows four salespeople racing to save a dealership after losing its new-car franchise, which was inspired by real dealership closures during the Great RecessionThe play is written by former Automotive News editor Richard Johnson and directed by Jeff Daniels at Michigan's Purple Rose Theatre.Daniels praised the script, saying, “There's a lot of heart in it and a lot of humor… it speaks to people who don't just have a job — they love what they do.”AI is officially coming for the shopping cart. Shopify president Harley Finkelstein says “agentic commerce” could fundamentally change how consumers discover and buy products—shifting power away from ads and toward relevance, fit, and meritShopify is betting big on agentic commerce, citing a 14x increase in orders driven by AI agents in just the past year.Google's new Universal Commerce Protocol (UCP), backed by Shopify, Walmart, and others, aims to standardize how AI agents shop across brands.Rather than replacing e-commerce sites, agentic shopping is expected to act as a powerful new “spoke,” potentially accelerating overall e-commerce adoption.This episode of the Automotive State of the Union is brought to you by Amazon Autos: Meet customers where they shop: reach high-intJoin Paul J Daly and Kyle Mountsier every morning for the Automotive State of the Union podcast as they connect the dots across car dealerships, retail trends, emerging tech like AI, and cultural shifts—bringing clarity, speed, and people-first insight to automotive leaders navigating a rapidly changing industry.Get the Daily Push Back email at https://www.asotu.com/ JOIN the conversation on LinkedIn at: https://www.linkedin.com/company/asotu/

Live from NRF 2026: Retail's Big Show in New York City, Ali Furman, partner and U.S. consumer markets industry leader at PwC, and Barbara O'Beirne, head of global enterprise business development at Stripe, both join Retail Gets Real for a wide-ranging conversation on how AI is rapidly moving from experimentation to execution — and what that means for retailers right now.Near the Expo floor buzzing with robots, AI demos and next-generation technology, Furman and O'Beirne unpack why agentic AI represents a structural change rather than a passing trend. Unlike earlier generations of AI that primarily assisted with search and discovery, agentic AI is designed to act. It can evaluate options, make decisions and increasingly transact on behalf of consumers. They say this evolution is reshaping the very top of the shopping funnel and redefining how consumers decide what to buy.(00:00:00) Why agentic AI was everywhere at NRF 2026(00:04:49) How commerce is moving inside AI conversations(00:07:29) Why agentic commerce is a structural shift, not a trend(00:10:21) How will agentic AI impact bricks-and-mortar retail?(00:12:45) How PwC and Stripe are helping retailers move from pilots to reality(00:18:31) Where retail leaders should start with AI right nowThe National Retail Federation is the world's largest retail trade association.Every day, we passionately stand up for the people, policies and ideas that help retail succeed.Resources:• Become an NRF member and join the world's largest retail trade association• Learn about our retail education platform, NRF Foundation, at nrffoundation.org• Learn about retail advocacy at nrf.com/advocacy• Find more episodes at retailgetsreal.comRelated:• 395: Adapting to the rise of AI shoppers• 390: The role of AI in shaping cybersecurity and fraud prevention

In this episode of Eye on AI, Craig Smith sits down with Jarrod Johnson, Chief Customer Officer at TaskUs, to unpack how agentic AI is changing customer service from conversations to real action.    They explore what agentic AI actually is, why chatbots were only the first step, and how enterprises are deploying AI systems that resolve issues, execute tasks, and work alongside human teams at scale.    The conversation covers real-world use cases, the economics of AI-driven support, why many enterprise AI pilots fail, and how human roles evolve when AI takes on routine work.    A grounded look at where customer experience, enterprise AI, and the future of support are heading. Stay Updated: Craig Smith on X: https://x.com/craigssEye on A.I. on X: https://x.com/EyeOn_AI   (00:00) Jarrod Johnson and the Evolution of TaskUs (03:58) Why AI Became Core to Customer Service (06:07) Humans, AI, and the New Support Model (07:16) What Agentic AI Actually Is (11:38) TaskUs as an AI Systems Integrator (14:59) How Agentic AI Resolves Customer Issues (19:52) Workforce Impact and the Human Role (23:26) Why Most Enterprise AI Pilots Fail (30:32) Real Client Case Study: Healthcare Impact (36:34) Why Customer Service Still Feels Broken (38:49) The End of IVR Menus and Legacy Systems (42:25) AI Safety, Compliance, and Governance (49:38) Training Humans for AI and RLHF Work (54:34) The Future of Agentic AI in Enterprise  

In this three-part series our guests reprise their panel discussion at the Executive Women's Forum DSG Global conference titled "You Be The Judge," during which they explored scenarios involving harms potentially caused by Agentic AI.In Episode 1 they discuss an Agentic AI mammography triage system designed to flag positives for a radiologist, auto-send “all clear” letters for negatives, and operate with minimal human oversight. They answer this difficult question: When the machine gets it wrong, who is accountable? Developers, hospitals, clinicians, and/or data providers? What role do contracts, warnings, and intended-use labels play in establishing liability? What safeguards would balance speed and safety? Random audits? Documentation? Will a new standard of care develop for machine decision-making? I take the back seat in this series as the panelists moderate the discussion. They are:Galina Datskovsky, PhD, CRM, FAIBoard of Directors, FIT and OpenAxesInformation Governance and AI expertMarina KaganovichAMERS Financial Services Executive Trust LeadOffice of the CISO, Google Cloud Hon. Lisa WalshFlorida Circuit Judge11th Judicial Circuit, Miami-Dade CountySpecial thanks to Kathryn M. Rattigan, Partner, Data Privacy + Cybersecurity with Robinson+Cole for bringing this team to the Emerging Litigation Podcast. If you work in health tech, compliance, or hospital operations -- or you advise these professionals -- this conversation offers a clear-eyed guide to deploying autonomous agents responsibly—without sleepwalking into preventable harm. If you like what you hear, watch for Episodes 2 and 3. ______________________________________ Thanks for listening! If you like what you hear please give us a rating. You'd be amazed at how much that helps. If you have questions for Tom or would like to participate, you can reach him at Editor@LitigationConferences.com. Ask him about creating this kind of content for your firm -- podcasts, webinars, blogs, articles, papers, and more. Tom on LinkedIn Emerging Litigation Podcast on LinkedIn Emerging Litigation Podcast on the HB Litigation site

Insurance isn't short on “AI demos.” It's short on AI that actually survives real workflows—submissions, audits, claims intake, policy comparison, compliance. Aman Gour (CEO, FurtherAI) breaks down what agentic AI actually means in practice, why “accuracy you can trust” is the real moat, and how teams move from one automated workflow to a platform-wide operating layer. What you'll hear (high-signal takeaways) Agentic AI, defined plainly: a loop where the system executes, checks, and self-corrects until the output is right (not just “extract text from PDFs”). The winning wedge in insurance AI: workflow outcomes and reliability—not model hype. Why “one platform” matters: insurers don't want 10 tools; they want a workspace that expands from one workflow to many. Where the real leverage is: unstructured intake + decision workflows (submissions, claims/FNOL-adjacent intake, audits, policy comparison). The operator reality: adoption happens when humans stay in control, with review points, auditability, and explainable outputs. The closing theme: speed is useless without intent—“hustle with purpose.” Chapters (timestamps) 00:00 — Intro + Aman's background 00:36 — What FurtherAI does (where insurance ops actually bleed time) 02:22 — What “agentic AI” means (in the real world) 03:35 — The agentic loop: do → check → correct → final output 09:28 — “Not a ChatGPT alternative” (what a real platform is) 15:18 — What makes teams successful adopting AI in production 28:03 — One-person unicorn vs. small elite teams with leverage 28:56 — Closing: hustle with purpose (Margaret Mead quote) Notable Comments  03:35–04:07 — Agentic loop: execute, reflect, correct until it's right. 09:28–09:35 — “It's not just a data extraction platform… It's not a ChatGPT alternative.” 28:56–29:22 — “Never doubt that a small group… can change the world… Hustle with purpose.” Guest + Company Links FurtherAI: https://www.furtherai.com/ Aman Gour (LinkedIn): https://www.linkedin.com/in/amangour/ About Our Guest Aman Gour, CEO of FurtherAI — a Y Combinator-backed startup bringing automation and AI to the most unglamorous, yet mission-critical parts of insurance. Aman's a two-time founder, product builder, and storyteller-in-progress — who's helping rewire how insurers handle submissions, audits, and claims intake. #InsurTech #Insurance #AI #AgenticAI #Underwriting #Claims #WorkflowAutomation

Molly Mahoney drops serious knowledge about using AI to amplify your creative business instead of fearing it. She walks through how she built an interactive tool that generated 130 sales in three days, ran a Facebook auction that hit $30K in eight minutes, and why helping others succeed is the secret to growing your own business. If you've been wondering how to actually use AI in your video business without feeling like a sellout, this one's for you. Key Takeaways AI should amplify your creativity, not replace it—use these tools to handle the repetitive stuff so you have more time for actual creative work. Interactive tools create "activation offers" that give clients quick wins and naturally lead them to need your higher-level services. Agentic systems can automate your entire client journey by connecting different AI tools and apps together (tools like MindPal and Base44 make this accessible). Authenticity indicators (your mistakes and stumbles) build more trust than perfectly polished content ever will. About Molly Mahoney Molly Mahoney is a digital marketing strategist, keynote speaker, and former NYC performer who helps entrepreneurs blend AI-powered marketing with authentic human connection. With viral videos hitting over 39 million views and features in Forbes and Inc., she's known for turning complex tech into simple, profitable strategies. She launched her business The Prepared Performer in 2013… and has since helped thousands of people to show up more powerfully, turning their message into a revenue generating movement. In 2021, Molly launched the world's first AI-focused content membership (2 years before chatGPT hit the scene). She's the author of Choose Confidence, Finding My Awesome, and the new Ai playbook, Ai-ify™ Your Business. She believes your "weird" is your superpower – and that the more fun you have, the more money you make! In This Episode [00:00] Welcome to the show! [04:12] Meet Molly Mahoney [15:45] Backstory Research With AI [19:04] Figuring Out Your Niche [23:47] Your Weird Is Your Superpower [29:49] The Quesadilla of Awesome [41:14] AI Tools [44:21] Sora Prompt Templates [47:18] Agentic System [49:21] Connect with Molly [51:39] Outro Quotes "Rather than asking yourself, what can I do to help grow my business, take a step back and look at what can I do to help other people to succeed." - Molly Mahoney "When you trip up over your words, don't edit it out, leave it there, it's an authenticity indicator." - Molly Mahoney "The most important thing that you can do is to figure out who you are as a human being and let your freak flag fly." - Molly Mahoney "I could see a lot of video creators being like, oh no, this is gonna hurt my business... But what I decided to do rather than being like, how am I gonna use this to grow my business... I went and created a tool to help other people succeed." - Molly Mahoney "If you create a software tool that helps people to get better results with video, they're only gonna get so far. And then they're gonna get to the point where they're like, I need help." - Molly Mahoney Guest Links Follow Molly Mahoney on Instagram | Facebook  Check out Molly Mahoney's WebsiteGet Molly's free Ideal Client Avatar Generator HERE Links Get Instant Pricing Clarity Join the Grow Your Video Business Facebook Group  Follow Ryan Koral on Instagram Follow Grow Your Video Business on Instagram Join the Studio Sherpas newsletter

In this Retail Technology Spotlight episode, Amy Vener, Global Retail & Consumer Goods Marketing Director for Commercial Cloud & AI at Microsoft, joins Omni Talk to unpack the main takeaways from NRF and where retailers should focus next as agentic commerce moves from theory to execution. Drawing on her experience across Walmart, Pinterest, and Microsoft, Amy shares how retailers are shifting away from AI hype and toward real, measurable outcomes. From conversational shopping agents and merchandising insights to connected stores and cultural readiness, this episode breaks down how retailers can drive real return on intelligence in 2026 and beyond. If you're trying to figure out where AI fits into your merchandising, marketing, store operations, or supply chain strategy (and how to start without boiling the ocean), this conversation is for you. Key Topics covered: • 00:03:08 – Why “what problem are you trying to solve?” still matters more than the tech • 00:07:34 – Agentic commerce use cases across marketing, merchandising, and operations • 00:15:50 – How conversational data is influencing assortment and product development • 00:10:01 – The role of connected stores and digital twins in retail decision-making • 00:09:09 / 00:19:58 – Lessons from brands like Estée Lauder, Ralph Lauren, and Coca-Cola • 00:23:07 – Why culture and team readiness are critical to AI adoption • 00:25:42 – How retailers should engage Microsoft to drive faster business impact

Infection repeatedly adds scheduled tasks and increases traffic to the same C2 domain https://isc.sans.edu/diary/Infection%20repeatedly%20adds%20scheduled%20tasks%20and%20increases%20traffic%20to%20the%20same%20C2%20domain/32628 BodySnatcher (CVE-2025-12420): A Broken Authentication and Agentic Hijacking Vulnerability in ServiceNow https://appomni.com/ao-labs/bodysnatcher-agentic-ai-security-vulnerability-in-servicenow/ Starlink Terminal GPS Spoofing/Jamming Detection in Iran https://github.com/narimangharib/starlink-iran-gps-spoofing/blob/main/starlink-iran.md