Podcasts about agentic

Retail media is now a $100 billion industry. Collin Colburn, VP of Commerce and Retail Media at the IAB, says we've entered commerce media's "day two" –  the era where operational integration, interoperable measurement, and the arrival of the agentic shelf matter more than launching another network.  We unpack why brands started calling retail media a tax, why Collin says we should blow attribution up, and whether an ad-supported agent can stay trustworthy. Welcome to Day Two Key takeaways: Optimization and integration replace growth-at-all-costs expansion. Brands call retail media a “tax,” sensing the industry's referee is now incrementality. Agent-referred shoppers convert higher and return less.  In-store media's ceiling is customer experience, not inventory: frequency caps beat non-endemic dollars. [14:05] "Agentic commerce isn't changing what consumers buy or want to buy today. It's changing their pathway to purchase." — Collin Colburn [19:35] “The coming reckoning is in the measurement space.” –– Collin Colburn [20:45] "Attribution was built for: an ad is served, it's clicked on or seen, the customer goes to the website, and they purchase. That model does not work well in this new era." — Collin Colburn [25:15] "AI feels objective to me for the most part… it's like your omnipotent friend that you never had. And when ads get introduced, it begs the question of, am I still gonna trust that agent?" — Collin Colburn In-Show Mentions: Commerce Media Has Hit “Day Two.” Now What?  EMarketer: IAB's Collin Colburn on the Future of Commerce Media More about IAB Associated Links: VISIONS Summit, Nov 3 at MoMA Check out Future Commerce on YouTube Check out Future Commerce Plus for exclusive content and save on merch and print Subscribe to Insiders and The Senses to read more about what we are witnessing in the commerce world Listen to our other episodes of Future Commerce Have any questions or comments about the show? Let us know on futurecommerce.com, or reach out to us on Twitter, Facebook, Instagram, or LinkedIn. We love hearing from our listeners! Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Holden Bale runs strategy at Merkle, the dentsu-owned consulting firm with roughly 16,000 people worldwide and about 4,000 of them sitting in data science. He came on to walk through what Merkle's consumer research actually shows about AI and shopping. The numbers do not line up with the conference talk track.Twenty-two percent of consumers across North America, Central America and most of EMEA now name an AI app as a first stop for product search and evaluation. Google still sits around 78 percent, Amazon around 49. More than half of men and over a third of women say they already use AI tools to shop. That is self-reported, and Holden is the first to discount it.The gap brands keep missing is what happens after discovery. Fifty-three percent say they leave the AI app and buy on a website. Eleven percent claim they bought inside the app. Holden says that second number is fiction, and explains why the GMV math cannot carry it. He has a slide he brings to conferences in red type: agentic commerce does not exist.Then he gives the forecast anyway. A quarter of an eight trillion dollar B2C market flowing through discrete AI apps by the end of the decade, most of that share taken out of marketplaces. Somewhere between 10 and 25 percent of commerce running autonomously. The condition for all of it is Amazon and the LLM firms working out a commercial arrangement instead of a lawsuit.One more number worth sitting with. Merkle surveyed 100-plus companies above a billion dollars in revenue. Eighty-eight percent had deployed something powered by a large language model. Six percent could prove it moved EBITDA.Holden's advice to brand executives has almost nothing to do with AI and everything to do with the product data most companies still cannot pull out of nineteen different systems.This episode is brought to you by Avalara. Tax, tariffs and duties get complicated the moment you add a channel or cross a border. See what Avalara has built for growing brands at avalara.watsonweekly.comNewsletter: watsonweekly.comChapters 00:00 What Merkle actually does, and why strategy and execution stopped being separate jobs 03:15 The Shoptalk data: AI is eating search, not shopping 06:11 Is AI traffic invisible, or are brands just not tracking it 08:25 The social commerce comparison, and why perceived attribution matters 11:36 Avalara 13:07 The 2030 forecast: 25 percent inside AI apps, 10 to 25 percent autonomous 16:47 Who has time to train a personal AI 17:49 Order history is the one thing the LLMs do not have 21:34 What a brand executive should start now 24:34 Test and learn, minus the learn

Is your property management software already holding you back? Shahar Goldboim, CEO and Co-Founder of BOOM, makes the case for agentic AI – and why property managers who don't adapt risk being left behind.In Episode 1 of AI-Powered Hosting – the new series from Host Planet and BOOM – Shahar breaks down exactly why the traditional PMS can no longer support a modern portfolio, and what the shift from short term rental automation to agentic execution means for your business in practice.Whether you're managing five properties or 50+, this conversation will change how you think about AI, decision-making, and where the STR industry is heading.

Tom Verrilli is the chief product officer at Whatnot, a live shopping platform that's become the fastest-growing U.S. marketplace business in history, with over $8 billion in GMV. Before joining Whatnot, Tom was CPO at Twitch and director of product growth at Twitter (during one of the most turbulent periods in the company's history).In our in-depth conversation, we discuss:1. Why Whatnot's product team was founded on the premise “we regret that product management exists”2. How AI is reshaping the PM role3. What Tom looks for when hiring PMs4. The shift toward senior ICs doing the work5. How AI has transformed data science at Whatnot6. Tom's “play the accordion” mental model7. Why “hire great people and get out of their way” fails8. His biggest lessons from his time at Twitter—Brought to you by:WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and moreMercury—Radically different banking, now with Command—Episode transcript: https://www.lennysnewsletter.com/p/this-cpo-regrets-that-product-management—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Tom Verrilli:• X: https://x.com/tdrobbo• LinkedIn: https://www.linkedin.com/in/tom-robertson-042—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction(02:40) “We regret that product management exists”: what it means and why(08:30) When specialization makes sense, and when it doesn't(15:20) How Whatnot structures its PM org(17:28) What 31,832 PM applications revealed about the function(19:40) How to develop systems thinking(22:10) The shift to senior ICs doing IC work(32:26) Advice for PMs struggling in today's market(35:22) How AI has transformed work at Whatnot(41:14) The data scientist problem(42:48) Which roles are trending up and down(44:48) What the product team of the future looks like(46:29) Why core PM skills are the most durable in an AI world(49:23) How to get the most out of the people you hire(53:32) Navigating the CPO-founder relationship(57:34) Advice for aspiring CPO's(59:16) How to know when to stand firm and when to step back(01:01:38) Play the accordion: balancing strategic vision with fast iteration(01:06:35) Agentic commerce vs. live commerce(01:09:46) Lessons from Twitter(01:13:07) Failure corner(01:15:45) Lightning round and final thoughts—Referenced:• Whatnot: https://www.whatnot.com• Building, and Whatnot: https://www.linkedin.com/pulse/building-whatnot-tom-verrilli-bwkdc• Twitch: https://www.twitch.tv• Why Netflix is betting on systems thinkers—not specialists—in the AI era | Elizabeth Stone (CPTO): https://www.lennysnewsletter.com/p/netflix-cpto-on-ai-and-the-future• Peter Bailis on LinkedIn: https://www.linkedin.com/in/pbailis• Mike Krieger on LinkedIn: https://www.linkedin.com/in/mikekrieger• Anthropic's CPO on what comes next | Mike Krieger (co-founder of Instagram): https://www.lennysnewsletter.com/p/anthropics-cpo-heres-what-comes-next• Ben Kus on LinkedIn: https://www.linkedin.com/in/benkus• Henry Shi on LinkedIn: https://www.linkedin.com/in/henrythe9th• Hex Threads: https://hex.tech/product/threads• Product management theater | Marty Cagan (Silicon Valley Product Group): https://www.lennysnewsletter.com/p/product-management-theater-marty• Grant LaFontaine on LinkedIn: https://www.linkedin.com/in/grantlafontaine• Logan Head on LinkedIn: https://www.linkedin.com/in/logan-head• Emmett Shear on LinkedIn: https://www.linkedin.com/in/emmettshear• Kara Swisher on X: https://x.com/karaswisher• Jeff Bezos: Amazon and Blue Origin—Lex Fridman Podcast: https://www.youtube.com/watch?v=DcWqzZ3I2cY• Star City on AppleTV+: https://tv.apple.com/us/show/star-city/umc.cmc.2l8p785osmtmiyk64bh6tfde1• For All Mankind on AppleTV+: https://tv.apple.com/us/show/for-all-mankind/umc.cmc.6wsi780sz5tdbqcf11k76mkp7• Service NSW Mobile App: https://www.service.nsw.gov.au/services/service-nsw-mobile-app• Rudyard Kipling: https://en.wikipedia.org/wiki/Rudyard_Kipling• E-fish.com: https://www.e-fish.com—Recommended books:• The Hard Thing About Hard Things: Building a Business When There Are No Easy Answers―Straight Talk on the Challenges of Entrepreneurship: https://www.amazon.com/dp/0062273205• The Purpose Driven Church: Every Church Is Big in God's Eyes: https://www.amazon.com/dp/0310201063• Babel: Or the Necessity of Violence: An Arcane History of the Oxford Translators' Revolution―An Historic Fantasy of Dark Academia: https://www.amazon.com/Babel-Necessity-Violence-Translators-Revolution/dp/0063021439—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

In this special edition, guest Yan Shoshitaishvili, Associate Professor, University of Arizona, joins host ⁠Dave Bittner⁠ to share a preview of his Black Hat USA 2026 keynote "Vulnerability Research in the Agentic Age." Join Yan and Dave to hear insights on the evolution of vulnerability research, the impact of AI and LLMs on cybersecurity, and the future of human expertise in the field. If you are heading to Black Hat, check out Yan's session on Thursday, August 6 at 9:15 AM.

Agentic AI zählt aktuell zu den spannendsten Entwicklungen im Bereich der künstlichen Intelligenz – doch was steckt eigentlich dahinter?  In dieser Folge sprechen Jonny, Stephan und Saqib darüber, wann aus einem klassischen KI-Chatbot ein echter KI-Agent wird, der nicht nur Antworten liefert, sondern eigenständig Aufgaben plant, Entscheidungen trifft und Prozesse ausführt.  Wir werfen einen Blick auf die Entwicklung von Generative AI hin zu Agentic AI und zeigen, warum der Erfolg eines KI-Agenten nicht von der Technologie allein abhängt, sondern vor allem vom richtigen Use Case.    Im Fokus steht das Microsoft-Ökosystem rund um Microsoft Copilot. Wir erklären die Unterschiede zwischen Copilot Studio Agents, Lightweight Agents und vordefinierten Agents und zeigen, wann welcher Ansatz in der Praxis sinnvoll ist.    Anhand konkreter Beispiele sprechen wir über Knowledge Agents, Support- und Ticketing-Lösungen, vollautomatisierte Prozesse sowie Erfahrungen aus Kundenprojekten. Außerdem diskutieren wir typische Herausforderungen – von Testing und Qualitätssicherung bis hin zu Governance und den häufigsten Stolpersteinen bei der Entwicklung von KI-Agenten.  Zum Abschluss werfen wir einen Blick nach vorne: Wie verändern Agentic AI und autonome Systeme die Art, wie Unternehmen Prozesse gestalten? Und welche Entwicklungen erwarten uns in den nächsten Jahren?    Eine Folge für alle, die verstehen möchten, wie Unternehmen mit Agentic AI den nächsten Schritt gehen – von intelligenten Assistenten hin zu echten digitalen Agenten.    Teile die Episode gerne mit Kolleginnen und Kollegen oder diskutiere mit uns: Wo siehst du das größte Potenzial von Agentic AI?    Proudly sponsored by @vonwinning mit dem besten WIN WIN Riesling & @kaffeebraun mit einzigartig gutem Espresso aus Aschaffenburg!       Zitate aus der Folge    Stephan    Meine Beobachtung beim Thema KI und Agentic AI ist: Viele Unternehmen haben aktuell FOMO – die Angst, den Anschluss zu verlieren.  Die Entwicklung ist rasant, und es gibt ständig neue Möglichkeiten. Deshalb sollte man am Ball bleiben, aber nicht jedem Hype hinterherlaufen.   Entscheidend ist, die richtigen Anwendungsfälle zu identifizieren und dort zu investieren, wo KI echten Mehrwert schafft.      Saqib     Mit generativer KI kommen wir bei Wissensfragen heute schon erstaunlich weit.   In der Arbeitswelt reicht das aber oft nicht mehr aus.   Unternehmen brauchen digitale Spezialisten, die Prozesse verstehen, Aufgaben ausführen und eigenständig handeln – genau hier beginnt die Welt der Agentic AI.      Jonny    Ein häufiger Fehler ist, direkt mit der Entwicklung eines Agenten zu starten, sobald ein möglicher Anwendungsfall gefunden ist.   Viel wichtiger ist es, zunächst das Ziel klar zu definieren: Was soll der Agent erreichen? Wie soll der Output aussehen?   Und auf welche Datenquellen soll er zugreifen? Je klarer diese Anforderungen sind, desto besser wird das Ergebnis.      In den kommenden Podcast-Folgen bekommst du:    Infos und Tipps rund um die M365-Welt und ihre Anwendungen wie Power BI und Power Apps  Inspiration und praktische Tipps für den Kulturwandel für dich oder dein Unternehmen, um immer einen Schritt voraus zu sein  Wertvolle Impulse für ein bewusstes Mindset  Tipps zu praktischen Tools, die deinen Change unterstützen können, egal ob persönlich oder als Unternehmen  Viele weitere Einblicke in die Welt des New Work    Let's connect  Du hast Ideen, Themenvorschläge oder Anregungen zum Thema, dann teile gerne deine Gedanken mit uns und schick uns eine Nachricht an podcast@kom4tec.de oder auf Instagram @kom4tec  Wir freuen uns von dir zu hören.   Follow us!   Facebook | https://www.facebook.com/KOM4TEC/   Instagram | https://www.instagram.com/kom4tec/   LinkedIn | https://www.linkedin.com/company/10407066/          

Google didn't ship its big model, but they shipped a TON of new useful AI you can use today. And Google wasn't the only company updating their features behind the scenes. Replit is bringin vibe designing, ChatGPT got a lot more useful on the web, and Meta is changing from chatbot to agent. We'll get you caught up quickly. Chrome adds Some Gemini Spark, Replit Design makes impact, Buzz brings AI Agent Teamwork and 7 more AI Features you Should use Today -- an Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Replit Design Suite Launches With Free MobbinChatGPT Chrome Extension Adds YouTube SummarizationChatGPT Side Chat Integrates Tabs and Highlighted TextMeta AI Rolls Out Recurring Agent TasksGoogle Gemini Generates Images in Google DocsGemini AI Summarizes Comments, Edits in DocsGoogle Gemini Spark Agent Arrives in ChromeChrome Agent Uses Saved Accounts and PasswordsGoogle Lyria 3.5 Music Model ReleasedBuzz by Block Unites Team and Agent CollaborationTimestamps:00:00 Recent AI updates and developments05:01 Creating with Replit and AI models09:42 Real-time research tracking benefits10:34 Meta AI new recurring features13:35 New features of Meta AI17:53 Google Spark integrates with Chrome22:09 Google DeepMind's new music model25:25 Buzz from Block messaging tool29:42 Building a collaborative platform31:23 AI feature updates recapKeywords: Gemini Spark, Google Chrome AI integration, Google Docs AI features, AI image generation, Gemini in Docs, ChatGPT Chrome extension, YouTube video summarization, OpenAI ChatGPT update, Codex, Vibe design, Replit design suite, Mobbin integration, AI reference library, Design export automation, Project management AI, Figma competitor, Replit creative tools, Meta AI, Muse Spark 1.1, Agentic model, Recurring AI tasks, AI scheduling, Daily briefings, AI productivity tools, Google Lyria 3.5, AI music model, Flow Music, Suno, Yudio, AI generated lyrics, Vocal delivery in AI music, Licensing in AI music, Buzz collaboration platform, Block, Square, AI agent teamwork, Slack-like AI platform, Open source collaboration, Agent governance, Cryptographic identity, Agentic browser, Automated web errands, Chrome passwords integration, Google Drive data access, Multi-agent collaboration, Research automation, Enterprise AI workflow, AI productivity boost.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner 

Sean Martin catches John Sotiropoulos and Rock Lambros at the end of the OWASP GenAI Security Summit, held alongside Infosecurity Europe 2026 at ExCeL London. Both are deep in the standards work: John Sotiropoulos co-leads the OWASP Agentic Security Initiative and sits on the board of the OWASP GenAI Security Project, and Rock Lambros serves as Director of AI Standards and Governance at Zenity and co-leads the OWASP Top 10 for LLM 2026 update. The headline from the day is the launch of the Agentic Security Council, bringing Oxford University, Queen's University Belfast, CSIT, and other research institutions into the same room as practitioners and industry. John Sotiropoulos frames the reasoning bluntly: content on its own does not create change. Papers and Top 10 lists matter, but they only matter if the people building and defending systems can act on them. The number that reframes everything is twenty-two seconds. That is the average time from an initial access event to the next attacker action, down from eight hours. John Sotiropoulos puts the question directly to anyone still running a human-speed playbook: how do you respond to that? A panel on incident response with participants from AWS and Microsoft, a keynote from Microsoft's National Security Officer, and a walkthrough of the State of Agentic Security and Governance report all point at the same shift toward runtime security. Rock Lambros brings a different kind of grounding. For the first time in the four-year history of the OWASP Top 10 for LLM, the update draws on a corpus of reported incidents rather than opinion and community vote alone. It is one data point among several, but it is data, and that changes what the list can claim. A panel with the heads of AI security at Deloitte supplies the operational counterweight. As one of them puts it, security has to stop being the Ministry of No, because people will route around it and ship anyway. The report's adoption tiers and maturity levels exist for exactly that reason: security that lives only inside a PDF is not security. The invitation from both John Sotiropoulos and Rock Lambros is the same. Join the work. Research, red teamers, defenders, builders, and SecOps all looking at one view of what is actually happening is the only version of this that scales to machine speed. ⬥HOST⬥ Sean Martin, CISSP | Co-Founder, ITSPmagazine & Studio C60 | Host, Redefining CyberSecurity Podcast & Music Evolves Podcast | https://www.seanmartin.com/ ⬥GUESTS⬥ John Sotiropoulos, Deep Cyber | Co-Lead, OWASP Agentic Security Initiative; Board Director, OWASP GenAI Security Project | On LinkedIn: https://www.linkedin.com/in/jsotiropoulos/ Rock Lambros, Director of AI Standards and Governance, Zenity; Founder, RockCyber | Co-Lead, OWASP Top 10 for LLM 2026 | On LinkedIn: https://www.linkedin.com/in/rocklambros/ ⬥RESOURCES⬥ Infosecurity Europe 2026 is taking place June 2-4, 2026 | ExCeL London. Follow our coverage: https://www.itspmagazine.com/infosecurity-europe-2026-infosec-london-cybersecurity-event-coverage OWASP GenAI Security Project | https://genai.owasp.org Contribute to the OWASP GenAI Security Project | https://genai.owasp.org/contribute The Future of Cybersecurity Newsletter | https://www.linkedin.com/newsletters/7108625890296614912/ Redefining CyberSecurity Podcast | https://www.seanmartin.com/redefining-cybersecurity-podcast On Location | https://www.itspmagazine.com/on-location

AI is moving far beyond simple chatbots, and many mental health professionals are wondering what comes next.In the first episode of Beyond the Bot, Dan Florell and Adam Lockwood break down one of the fastest-growing areas of artificial intelligence: AI agents. They explain the difference between traditional AI chatbots and autonomous AI systems, where these tools can genuinely save clinicians time, and where they should never be used.The conversation covers practical examples for psychologists, counselors, school psychologists, and private practice owners, including research reviews, program evaluation, website analysis, marketing insights, and automating repetitive administrative work. Just as importantly, they discuss the ethical boundaries, including why protected health information should never be shared with consumer AI tools and why curiosity should come before rushing to adopt new technology.Whether you're just beginning to explore AI or already using ChatGPT, Claude, or Gemini, this episode offers practical guidance to help you understand where the technology is headed and how to prepare for it responsibly.Brightminds AdPAR Ad This episode is brought to you by PAR.Explore the AI Report Writer here:https://www.parinc.com/product/ai-report-writer?utm_campaign=38111624-Psyched%20to%20Practice%202026&utm_source=P2P%20Podcast&utm_medium=Related%20PodcastsLearn more about the RIAS-2 NU here:https://www.parinc.com/product/groups/rias-rist-assessments?utm_campaign=38111624-Psyched%20to%20Practice%202026&utm_source=P2P%20Podcast&utm_medium=Related%20PodcastsTo hear more and stay up to date with Paul Wagner, MS, LPC and Ray Christner, Psy.D., NCSP, ABPP visit our website at: http://www.psychedtopractice.com “Be well, and stay psyched"

How can wholesale distributors plan for growth when interest rates, tariffs, global conflict, artificial intelligence, and changing buyer behavior are all moving at once?Kevin Brown and Tom Burton examine the economic and technology forces shaping manufacturing and wholesale distribution. They discuss Federal Reserve policy, consumer confidence, Section 301 tariffs, supply chain visibility, AI-native business models, agentic purchasing, and the growing role of robotics in industrial operations.What You'll Learn:Why the Federal Reserve has limited options for responding to inflation caused by geopolitical price shocksHow Section 301 tariffs could affect inventory planning, margins, sourcing, and supply chain strategyWhat new industry survey data reveals about distributor confidence, demand recovery, tariffs, and technology adoptionHow businesses can move from basic AI assistance toward an AI-native operating modelWhy agentic AI could reshape how contractors and other B2B customers research products, request quotes, and place ordersHow humanoid and purpose-built robots may change industrial labor, workplace safety, and the protective equipment marketEpisode Highlights:00:00 – Looking at the upcoming 200th episode of Around the Horn in Wholesale Distribution13:40 – Why the Federal Reserve held interest rates steady and why some policymakers still favor an increase29:15 – What declining consumer confidence could mean for spending, employment, and distributor demand38:40 – How Section 301 tariffs are changing inventory valuation and supply chain planning47:25 – Why global shipping chokepoints are creating new risks for oil, freight, and product availability54:20 – What electrical distributors say about demand recovery, tariffs, margins, AI, and data center growth1:03:30 – The stages of AI maturity and what it means to build an AI-native enterprise1:12:10 – How agentic AI could transform the traditional wholesale distribution buying process1:20:35 – Humanoid robots, purpose-built machines, and the future of industrial safetyTools, Frameworks, and Strategies MentionedLeadSmart Meridian 360 enterprise growth platformSmart CRM and CRM-ERP integrationLeadSmart Revenue ExpanderHidden revenue detection and trapped-potential analysisAI maturity stages, from AI-assisted to AI-nativeAgentic AI purchasing and automated orderingInventory visibility and supply chain analyticsHuman-centered sales automationSection 301 tariff analysisClosing Insight:The companies that succeed through the next phase of wholesale distribution will understand more than what is happening inside their ERP. They will connect customer, sales, marketing, e-commerce, inventory, and operational data so their teams can make faster and better decisions.Subscribe to Around the Horn in Wholesale Distribution for weekly insights into the economy, technology, supply chains, manufacturing, and distribution growth. Visit AroundTheHornPod.com to explore previous episodes and sign up for the newsletter. To learn how LeadSmart Technologies helps distributors connect their data and uncover hidden revenue opportunities, visit LeadSmartTech.com.Leave a Review: Help us grow by sharing your thoughts on the show.Learn more about the LeadSmart AI B2B Sales Platform: https://www.leadsmarttech.com/Join the conversation each week on LinkedIn Live.Want even more insight to the stories we discuss each week? Subscribe to the Around The Horn Newsletter.You can also hear the podcast and other excellent content on our YouTube Channel.Follow us on Facebook, Twitter, Instagram, or TikTok.

Andrew Burt, CEO and co-founder of Luminos, joins Ben Lorica to unpack Luminos's new report, A Practical Guide to Agentic and Gen AI Risk Evals. Subscribe to the Gradient Flow Newsletter

In the security news: 2.2 million cars, one shared Bluetooth key JFrog tries to spin an AI 0-day into a win Sextortion scammers recycling ShinyHunters' leaks The first hack ever, from 1966 Prompt injection as a service, $150 a month Cisco's mystery "static credential" BMCs still on the internet, still handing out hashes Scattered Spider duo sentenced over the TfL hack Air-gapped data sneaking out over the video cable A ghost in the network DNS poisoning checks into hotel WiFi Microsoft's cut-rate cybersecurity AI Learning to trust USB drives again Agentic pentesting shows up just in time for Black Hat Microsoft rethinks security for the AI age, again Visit https://www.securityweekly.com/psw for all the latest episodes! Show Notes: https://securityweekly.com/psw-937

Agentic advertising was the buzzword of the year at Cannes this year. It stands to reason this hype is ahead of reality. Jon Roberts, chief innovation officer at People Inc, gives a reality check of where the hurdles to agentic advertising, which holds...

95% of enterprise IT leaders plan to launch agentic AI projects — but 69% aren't ready. So, what's standing in the way?  In this episode of Scaling AI in the Enterprise, we bring together an expert panel to tackle the real engineering and organizational challenges of AI deployments: the probabilistic nature of AI agents, the limits of traditional testing, and why "making your prompt stronger" is not a strategy.  Host: Eric Knipp, SVP and GM, Cisco Customer Experience (CX) Americas  Guests:   Bhaskar Jayakrishnan, SVP of Engineering, Cisco Customer Experience (CX)  Dr. Lydia Chilton, Associate Professor of Computer Science, Columbia University  Sam Charrington, Host of the TWIML AI Podcast  Srini Namineni, SVP and Chief Automation Officer, Cisco  Learn more about Cisco Customer Experience: read our blogs and visit Cisco.com

In the security news: 2.2 million cars, one shared Bluetooth key JFrog tries to spin an AI 0-day into a win Sextortion scammers recycling ShinyHunters' leaks The first hack ever, from 1966 Prompt injection as a service, $150 a month Cisco's mystery "static credential" BMCs still on the internet, still handing out hashes Scattered Spider duo sentenced over the TfL hack Air-gapped data sneaking out over the video cable A ghost in the network DNS poisoning checks into hotel WiFi Microsoft's cut-rate cybersecurity AI Learning to trust USB drives again Agentic pentesting shows up just in time for Black Hat Microsoft rethinks security for the AI age, again Show Notes: https://securityweekly.com/psw-937

Circana’s Jonna Parker outlines why the fresh produce industry must focus on digital storytelling and rich product data to ensure agentic AI engines seamlessly discover and recommend their items to shoppers.See omnystudio.com/listener for privacy information.

In the security news: 2.2 million cars, one shared Bluetooth key JFrog tries to spin an AI 0-day into a win Sextortion scammers recycling ShinyHunters' leaks The first hack ever, from 1966 Prompt injection as a service, $150 a month Cisco's mystery "static credential" BMCs still on the internet, still handing out hashes Scattered Spider duo sentenced over the TfL hack Air-gapped data sneaking out over the video cable A ghost in the network DNS poisoning checks into hotel WiFi Microsoft's cut-rate cybersecurity AI Learning to trust USB drives again Agentic pentesting shows up just in time for Black Hat Microsoft rethinks security for the AI age, again Visit https://www.securityweekly.com/psw for all the latest episodes! Show Notes: https://securityweekly.com/psw-937

Artificial Intelligence is entering a new era with the rise of Agentic AI—autonomous AI agents designed to perform tasks, solve problems, and support decision-making. But as millions of AI agents continue to emerge, one question becomes more important than ever: Which AI can you trust?In this episode, Suresh Mani, VP of Engineering at Solix Technologies, shares his insights on the future of the Agentic AI economy and introduces TAL AI Kernel, a global, community-driven platform built to help people discover, evaluate, and trust AI agents.The conversation explores why trust is becoming the biggest challenge in AI adoption, how students, professionals, universities, and enterprises can prepare for an AI-driven future, and why community-driven reviews and benchmarking will play a critical role in identifying reliable AI solutions. Suresh also discusses how experts can build credibility, earn by sharing trusted AI reviews, and even contribute to social impact through CSR initiatives.Whether you're a student, working professional, entrepreneur, or simply curious about the future of AI, this episode offers practical insights into navigating the rapidly evolving world of Agentic AI with confidence.Expert: Suresh Mani (https://www.linkedin.com/in/sumani/)Host: Akash Ravuri Sound: Mahesh R.Producer: Archita Puranik

In the security news: 2.2 million cars, one shared Bluetooth key JFrog tries to spin an AI 0-day into a win Sextortion scammers recycling ShinyHunters' leaks The first hack ever, from 1966 Prompt injection as a service, $150 a month Cisco's mystery "static credential" BMCs still on the internet, still handing out hashes Scattered Spider duo sentenced over the TfL hack Air-gapped data sneaking out over the video cable A ghost in the network DNS poisoning checks into hotel WiFi Microsoft's cut-rate cybersecurity AI Learning to trust USB drives again Agentic pentesting shows up just in time for Black Hat Microsoft rethinks security for the AI age, again Show Notes: https://securityweekly.com/psw-937

Industrial AI is into a new phase. Agentic AI is software that can plan, reason, learn, and act with far greater independence than traditional automation. While the technology is advancing quickly, the oil and gas industry faces unique technical, regulatory, and operational challenges that make full autonomy far less straightforward.  In this episode, I share what agentic AI actually is, why it differs from conventional automation, and why the industry's aging assets, fragmented data, safety requirements, cybersecurity concerns, and accountability standards create real barriers to  adoption.  I also share where I believe agentic AI can deliver the greatest value today: reducing the cognitive burden on engineers by assisting with planning, monitoring, coordination, and decision preparation while keeping humans squarely in the loop. The future is a function of humans plus AI, instead of the gloomy either/or we hear.  ⚒️ Additional Tools & Resources:

Jeetu Patel, Matt Caufield and DJ Sampath tackle the shift toward a landscape where AI agents are no longer just assisting humans but are actively executing critical security tasks. As these agents take on more autonomy, the traditional pillars of cybersecurity, particularly identity, must undergo a radical evolution to ensure that our automated defenses remain both powerful and trustworthy.

О чём говорили: - Code with Claude в Лондоне: конференция, которая устарела за два месяца - Персональный агент за 6 баксов и memory, который знает, кто ты - Рутины vs крон и агенты на домашнем сервере (Build a Proactive Agent Workflow) - Пионеры против динозавров: уровни прокачки в AI - Отдаём агенту прод: AI incident management и снесённые базы - Agentic loop: думаем с конца и заставляем агента проверять себя - Managed Agents: инфраструктура важнее модели, event stream и вендорлок - Fable и новый токенайзер: +20% токенов = +20% выручки - Интерфейс или протокол: OpenAPI и споры, в которых вайпкодеры молчат - Bun с Zig на Rust за $160k: сколько на самом деле стоит разработка - Kimi K3, китайский open source и почему наша профессия не умрёт - Picking the Right Model: thinking effort low / high / max и cost per outcome - Stop Babysitting Your Agents: self-improving skills, git worktrees и tmux Тайминги: 00:00 Интро 02:30 Code with Claude в Лондоне: конференция устарела за два месяца 05:25 Персональный агент за 6 баксов и memory, который знает, кто ты 07:40 Рутины vs крон и агенты на домашнем сервере 10:23 Пионеры против динозавров: уровни прокачки в AI 14:17 Отдаём агенту прод: incident management и снесённые базы 16:31 Agentic loop: думаем с конца, агент сам себя проверяет 24:53 Harness своими руками и Codex-подписка в OpenClaude 29:05 Managed Agents: инфраструктура важнее модели и вендорлок 40:00 Fable, токенайзер +20% и спор интерфейс vs протокол 50:49 Bun с Zig на Rust за $160k: экономика AI против инженеров 57:25 Kimi K3 и китайский open source 1:02:43 Тренируем себе замену: data labeling и почему профессия не умрёт 1:17:00 Picking the Right Model и thinking effort: low / high / max 1:29:00 Прерывай агента, читай логи и кешируй контекст 1:41:47 Stop Babysitting Your Agents: skills, worktrees и tmux 1:53:00 Аутро Нас можно найти: 1. Telegram: https://t.me/proConf 2. Youtube: https://www.youtube.com/c/proconf 3. SoundCloud: https://soundcloud.com/proconf 4. Itunes: https://podcasts.apple.com/by/podcast/podcast-proconf/id1455023466 5. Spotify: https://open.spotify.com/show/77BSWwGavfnMKGIg5TDnLz

Kurt pulled the agentic sales numbers on a store doing $1.8 million a month. ChatGPT drove $4,200 of it. So he dragooned business partner Paul Reda into an unscripted reaction to Shopify's Editions announcements. No pre-cleared questions, no talking points, just two people who've optimized eight-figure stores for AI search comparing notes on what's actually real. They get into why Universal Commerce Protocol is legitimately impressive tech still waiting for its payday, what the app store review crackdown means for honest developers, and a discovery buried in Shopify's dev docs: a commission-based paid placements program that might finally be the part that makes the money. SPONSORS Swym - Wishlists, Back in Stock alerts, & more getswym.com/kurt Cleverific - Smart order editing for Shopify cleverific.com Zipify - Build high-converting sales funnels zipify.com/KURT LINKS DollScout, Kurt's Universal Commerce Protocol tech demo: dollscout.com Promo Party Pro, Ethercycle's Shopify app: promoparty.app Shopify dev docs, agents/catalog (paid placements developer preview): shopify.dev/docs/agents WORK WITH KURT Apply for Shopify Help ethercycle.com/apply See Our Results ethercycle.com/work Free Newsletter kurtelster.com The Unofficial Shopify Podcast is hosted by Kurt Elster and explores the stories behind successful Shopify stores. Get actionable insights, practical strategies, and proven tactics from entrepreneurs who've built thriving ecommerce businesses.

This week we welcome back Senior Technical Evangelist Mike Nelson and introduce podcast newcomer and Product Manager Ameerul Shah. Our conversation centers on the latest developments with Fusion and how it is redefining and automating data management. We explore how the Everpure is moving beyond simple storage management by leveraging the Fusion automation engine to empower IT teams to become true data strategists. A major focus of our discussion moves to the new Fusion MCP server release. Mike and Ameerul explain the Model Context Protocol, describing it as the important bridge between infrastructure data and large language models. By providing the right context, the new Fusion MCP allows AI agents to move past confident guessing and hallucinations, enabling them to safely execute real world tasks like provisioning workloads and resolving incidents with supervised actions. We then highlight the open source commitment behind Fusion MCP, designed to help power users and dark site customers integrate their full infrastructure stacks. Mike and Ameerul discuss the power of API first development, the importance of human in the loop supervision for agentic AI, and the broader shift toward autonomous management. Listeners will gain practical insights into how this technology is helping organizations streamline operations and scale their data services more effectively. To learn more, visit: https://blog.everpuredata.com/purely-technical/smarter-ai-powered-data-management-with-everpure-fusion-mcp-server-2/ Check out the new Everpure digital customer community to join the conversation with peers and Everpure experts: https://purecommunity.purestorage.com/ 00:00 Intro and Welcome 06:38 What Product Managers Actually Do 09:55 Origin of Fusion 14:05 Applying AI to Data Management 16:18 What is Model Context Protocol (MCP) 25:45 Observe, Triage, and Act 35:15 MCP is Open Source 38:25 Availability of MCP for Users 42:49 Hot Takes Segment 48:31 Oops IT Stories

Day 5 of 50 Days for Freedom, hosted from @Swan after Cory's handle hit tech trouble. Swan's buy fee sits at 50 basis points through Labor Day. Framing doc: swan.com/battle. Cory on disagreeing well. Three summers of shows with Vlad Costea despite splitting on layer twos and drivechain. A lot of people we think we oppose actually love Bitcoin, and privacy is common ground. UK digital ID scrapped, sort of. Suz reports the £1.8B scheme killed after a 2.9M-signature petition and cross-party opposition. Her warning: canceling a brand name is not abandoning the architecture. The back door is already open. GOV.UK One Login covers 122 services, with all central government services slated to join by 2027. Age verification, employment checks, and the Online Safety Act converge on the same result. America's version, differently packaged. No single federal portal yet, but Real ID, mobile driver's licenses, and digital age checks add up. Federalism is a partial brake. Panel consensus: very close. Fear plus convenience is the playbook. 9/11, COVID, now the FATF travel rule reframed as national security. Suz: "you can make a scared man do anything." Bitcoin's answer is separating money from the identity gateway. Fourth Turning, with an exit. Brady's case: institutions are collapsing on schedule, but this cycle has Bitcoin and Nostr already built. Freedom tech that math makes un-co-optable. Cory's version: ten million US Bitcoiners, the race to avoid the war. Education is the whole mission. Lyn Alden's Seven Misconceptions, Vijay's 2018 Bullish Case article, Yan Pritzker's Inventing Bitcoin, and the Bitcoin Season documentary. Cory: understanding earns you the right to own more. ETF buyers who skipped it get lettuce hands. Swan versus Coinbase, box by box. Swan Sovereign, Swan Vault multisig, Swan Safe Plus with live video withdrawal confirmation, buy fees under Coinbase's advanced exchange, and Swan covering network fees. Plus Steve's scarcity chart: 60 million millionaires, 21 million coins. Agentic commerce wants Bitcoin. Scott's Machine Economy project, Buzz, Lightning Labs' Wavelength, and HTTP 402 finally getting built. An agent needs only a keypair. Cory also set the BIP110 policy: not daily here, but a moderated debate is coming.

Agentic Ai for Law Firms Part 5: The Long Game and What Happens When Prices Go Up>> Get the newest LFG episodes delivered to your inbox when you Sign Up for our Newsletter.>> Get the new book beyondintakebook.comResource Links:Fast track your marketing efforts while avoiding common marketing mistakes in our new trainingEstate planning attorney? Stop guessing how to get results from online ads and grow your firm with our client-generating Seminar 3.0 Hosted on Acast. See acast.com/privacy for more information.

Today for "Rails Report #4":-- When people talk about AI agents, they usually focus on what the agent can do. Can it plan? Can it execute? Can it make decisions? Can it complete a task end to end?But once agents start interacting with real-world systems, another question becomes just as important: how do we know what, or who, we are trusting? That is where modular verification matters.ERC- 8004, in simple terms, points toward a more structured way for agents and systems to prove things about themselves. Instead of relying on vague assumptions or one-off integrations, the idea is to create a modular layer where identity, capabilities, permissions, and verification can be checked more cleanly. Why does that matter?Because agents are only useful if they can operate in environments where other systems are willing to trust them enough to let them act. If an agent is going to move value, access services, trigger workflows, or interact with financial rails, then the system around it needs some way to verify that it is legitimate, authorized, and behaving within bounds.Today, that kind of trust is often handled manually, or through fragmented point solutions. One platform does one check. Another platform does another. A third layer tries to enforce policy. It works, but it is brittle. Modular agentic verification is interesting because it suggests a more composable future. Instead of forcing every application to reinvent trust from scratch, you can build a shared framework where different components handle different parts of the verification problem.That could mean proving an agent's identity. It could mean checking what permissions it has. It could mean validating that it is allowed to perform a specific action. And it could mean making those checks interoperable across systems.The big picture is simple: as agents become more capable, verification becomes more important. Without verification, agents are just software that can act. With verification, they become software that can act inside systems that care about trust, compliance, and accountability.So when we talk about ERC-8004 and modular agentic verification, we are really talking about the plumbing that makes autonomous systems usable in the real world. Not just smarter agents, but trustworthy ones.And once that layer exists, a lot of what comes next in finance, infrastructure, and automated workflows becomes much easier to imagine.-- The podcasts are authored, edited and produced by Raph Grieco (⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠raphael-grieco.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠olivecapital.vc⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠).

In this episode, Steve speaks with Alex Bovee, co-founder and CEO of C1, a technology company focused on identity security online. Steve and Alex discuss why identity still often is an afterthought when businesses look at their risk profiles and how governance is changing as employees get access to more and more systems. Alex also shares his thoughts on how to translate identity management to board members and how to adapt technology so that it fits your team, not the other way around. Key Takeaways: 1 Identity must be treated as a strategic risk.  2 When it comes to protecting your business against deepfakes, tried and true verification methods like MFA and multi-step approval processes remain best practice.  3 Choosing robust but user-friendly technology is important for attracting and retaining new talent. Tune in to hear more about: 1 The deepfake challenge (6:14) 2 Automated identity governance (8:33) 3 Empowering a culture of trust through identity strategy (12:20)Standout Quotes: 1 “I would say that most forward-thinking CISOs 100% view identity as one of the most important pillars in their company that they need to protect and secure.” - Alex Bovee  2 “There's different, I would say, classes of deepfake-type attacks. There's more of your broad-based social engineering type attacks, and I think one of the impacts of AI on that is that AI is able to do that at scale and in a very targeted way. I think we're gonna see a lot of asymmetry happening in those types of attacks. And then the second category is much more of your targeted attack, where you're trying to deepfake the CEO calling the CFO, asking for an immediate wire transfer to pay for something.” - Alex Bovee 3 “The best kind of security controls are the ones that are just in place that work, that are silent, and you don't know they're there, but they let you do your job.” - Alex BoveeRead the transcript of this episode
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Sign up for Practi, a new platform that helps law firms use subscription billing.Here are the top 5 takeaways from this episode:* Perplexity Enterprise is a cost-effective, secure AI hub for lawyers. At $400/year, it provides SOC 2, HIPAA, and GDPR compliance while giving access to multiple top AI models without needing separate subscriptions to ChatGPT, Claude, or Gemini.* The Comet Browser unlocks agentic workflows that let AI control your browser on your behalf. By clicking “Control Browser,” you can instruct Perplexity to navigate websites, fill out forms, and complete tasks like adding calendar events without you lifting a finger.* Connectors (MCPs) let Perplexity directly read and write to tools like Google Calendar and Drive. Once connected, the AI can bulk-schedule deadlines from case management orders or contracts by computing dates itself using its Wolfram Alpha integration.* AI can handle contract redlining and document drafting in stages, with the lawyer staying in the loop. By combining Paxton for legal analysis with Perplexity's agentic browser to apply suggested edits in Google Docs, attorneys can maintain judgment and oversight while offloading manual work.* Whisprflow enables voice-driven input across all apps for around $288/year. Speaking instead of typing, with the AI intelligently cleaning up dictation errors, dramatically speeds up the process of giving instructions to AI tools throughout the day.__________________________Want your question to be answered on a future show? Fill out this short survey.Have subscription model question? Check out this free resource to ask all of your questions at notebook.practi.ai.Sign up for Paxton, my all-in-one AI legal assistant, helping me with legal research, analysis, drafting, and enhancing existing legal work product.Get Connected with SixFifty⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, a business and employment legal document automation tool.Sign up for ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Gavel⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, an automation platform for law firms.Visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Law Subscribed⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to subscribe to the weekly newsletter to listen from your web browser.Prefer monthly updates? Sign up for the Law Subscribed Monthly Digest on LinkedIn.Check out ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Mathew Kerbis'⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ law firm ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscription Attorney LLC⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Want to use the subscription model for your law firm? Click here to sign up for a new platform that helps law firms use subscription billing. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.lawsubscribed.com/subscribe

Over 3 hours, OpenAI, Anthropic, Google AND Microsoft all dropped new AI upgrades that are live. How you use AI in your work literally changes every day, as frontier labs are racing to roll out big quality of life updates between big model drops. How can you keep up? With our Friday Features show, where we break down the latest AI updates that are live and available to all, and we tell you how to use them and why they matter. This week did not disappoint. You don't want to miss what's now at your fingertips. JARVIS mode, anyone? ChatGPT goes Jarvis Mode, Claude can learn from you, Google unleashes spark agent and 7 more AI updates you can use today -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:ChatGPT Health Syncs Apple and Medical DataClaude Voice Mode Adds Opus and SonnetClaude Voice Mode Supports ConnectorsMicrosoft MAI Image 2.5 Pro Launch DetailsMicrosoft MAI Image Model Benchmark PreviewGoogle Gemini 3.6 Flash and Flashlight ReleaseGemini 3.6 Flash: Token Efficiency UpgradesGoogle Gemini Spark Agent for Task AutomationClaude Cowork "Record a Skill" With Voice NarrationChatGPT Voice on Desktop: Full Jarvis ModeChatGPT Voice Controls Apps via App ShotsCross-Platform AI Skills Sharing (Claude, Codex, GPT)Timestamps:00:00 Recent AI feature updates05:22 Unified health data management09:52 New voice feature explanation11:28 Launch of Microsoft's new image model16:17 Explaining the Gemini 3.5 models17:11 Developers benefiting from 3.6 Flash22:45 Introducing Gemini personal intelligence25:10 Claude Cowork's new skill feature28:32 New default feature in Claude Cowork34:22 Using AI like Iron Man35:09 Excitement for future AI advancements38:20 Wrapping up and subscribingKeywords: ChatGPT Jarvis mode, ChatGPT Health, OpenAI, Anthropic, Claude voice mode, Claude Cowork, Claude record a skill, Microsoft, MAI image 2.5 Pro, AI image generator, Google Gemini, Gemini 3.6 Flash, Gemini 3.5 Flashlight, Gemini Spark, Google AI agent, AI-powered personal assistant, AI agents, Agentic workflows, Multimodal AI, Token efficiency, Image generation, Voice-activated AI, AI-powered task automation, App shots, GPT Live, Remote browser, Computer code execution, Slack integration, GitHub integration, Notion, PowerPoint AI features, Workspace plans, Apple Health integration, Medical records AI, Health data privacy, Consumer AI, Chronic condition management, AI-powered document processing, AI for business, AI model benchmarking, AI for developers, AI economics, Personal intelligence, Automated triggers, Google Docs AI, Team collaboration AISend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner 

Financial institutions are pushing agentic AI past pilot mode and into document-heavy, regulated workflows like AML alerts and account closures, but many leaders still lack a clear model for where automation should run freely and where human judgment has to stay in the loop. In this episode, Yoav Naveh, Co-Founder and Co-CEO at Reindeer AI, examines how banks are structuring agent oversight so automation earns trust incrementally instead of replacing compliance teams outright. The conversation covers how to identify workflows ready for agentic AI, what signals show an agent is learning rather than failing, and how public and historical data can strengthen both compliance decisions and customer retention.   This episode is sponsored by Reindeer AI.   Learn how financial institutions are digitizing paper-based records to unlock usable data for AI, and using alternative data to enhance risk assessment, download our free PDF report, "AI in Financial Services Executive Cheat Sheet" at emerj.com/fcs1

I chat with Vinod Kumar, Head of Product Marketing Agentic Location Intelligence at TomTom. They have evolved from a navigation company to a B2B company offering location technology that can be invaluable for auto insurance. A fascinating conversation!

Send us Fan MailAI is changing the economics of cyberattacks by making them faster, cheaper, and easier to scale. In this episode of Relating to DevSecOps, Ken is joined by Conor Sherman, Chief Security Officer at Sysdig and host of the Zero Signal podcast, to explore what the rise of agentic threat actors means for defenders.Using the Jade Puffer ransomware attack as a real-world example, they discuss how autonomous attackers can discover vulnerabilities, compromise environments, move laterally, adapt their code, identify valuable data, and deploy ransomware with little human involvement.The conversation also looks at how defenders can respond through stronger security architecture, automated patching, real-time detection, automatic response, and AI-assisted modernization. Rather than replacing security fundamentals, AI can help teams apply them faster, handle difficult edge cases, and build more resilient systems.For security teams wondering where to begin, the message is simple: start small, automate one meaningful workflow, and build from there.

-Google is making Gemini Spark, the agentic AI assistant it announced at this year's I/O developer conference, available to more people, just not free users. -Mark Zuckerberg really wants you to believe that AI is good. -The deal includes Asteroids, Adventure, Berzerk, Breakout, Centipede, Crystal Castles, Millipede, Missile Command, Pong and Yars' Revenge. Learn more about your ad choices. Visit podcastchoices.com/adchoices

All links and images can be found on CISO Series Check out this post by Tomás Maldonado, CISO, NFL, for the discussion that is the basis of our conversation on this week's episode co-hosted by me, David Spark, the producer of CISO Series, and Yaron Levi, CISO, Dolby. Joining is Will Gregorian, vp of information technology & security, Galileo Medical. In this episode: From who to what The manipulation problem Cryptographic accountability The audit gap A huge thanks to our sponsor, ActiveState ActiveState gives security and engineering teams a single governed source for open source software. With 79 million components built from source, continuously remediated, and delivered directly into the tools teams already use, ActiveState eliminates the CVE backlog and the developer toil that comes with it. Companies see a 60 to 99% reduction in CVEs and reclaim up to 30% of developer time. Learn more at ActiveState.com.

CRM is shifting from a static repository to the core system that supplies the real‑time customer context required for dependable AI‑driven work.   In this episode, Sharif Karmally, VP of SMB Product Marketing at Salesforce, explores with host Daniel Faggella how unified CRM data supports automated lead handling, accurate record updates, and predictive sales and service actions. Leaders will hear practical guidance on system integration, governance for human‑agent workflows, and building a data foundation that scales.   This episode is sponsored by Salesforce.   Learn how leading organizations approach AI investment more like a venture portfolio, download our free PDF report, "Beginning with AI," at emerj.com/aik1

The agentic transformation isn't coming. It has already begun.Companies are deploying thousands — and sometimes tens of thousands — of AI agents. Enterprise software giants are watching their old economic moats erode. Capital is moving, productivity is being redefined, and human labor is being repriced in real time.In this Fully Connected episode, Daniel and Chris explore the new economics of a post-agentic world: the global order that emerges after agents have been woven into every conceivable aspect of business and life. What happens when digital labor becomes abundant, agents manage other agents, and entire organizations operate at a scale no human workforce could match?This isn't another conversation about whether AI will take your job. It's about what happens when the assumptions underneath jobs, companies, software, and productivity stop being true.The post-agentic world is already taking shape.The question is whether you're preparing for it — or becoming part of what it replaces.Featuring:Chris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:Is IBM a Canary in the Tech Coal Mine?Verbalizable Representations Form a Global Workspace in Language ModelsUpcoming Events: Register for upcoming webinars here!Midwest AI Summit 2026

In this episode I sit down with Ed Sim, founder and managing partner of Boldstart Ventures, to dig into where AI security, agentic infrastructure, and the venture market are actually heading.Ed has been an inception-stage investor for nearly 30 years and has run Boldstart since 2010, backing hardcore technology companies across AI infrastructure, cybersecurity, and physical AI. He was the first investor in Protect AI, which sold to Palo Alto Networks in a reported ~$700M exit roughly a year before ChatGPT launched. He is also early in companies like Keycard, Surf AI, and June. About a third of Boldstart's investments are in cyber, so Ed sees this market from the founder and investor side in a way most security conversations do not.We get into why the era of building raw intelligence is giving way to an era of controlling it, what that means for on-prem models and private evals, and why Ed thinks nearly everything in security is going to get rebuilt from scratch.In this episode:- Why a day-one partnership looks different now that anyone can vibe code an MVP- The Protect AI acquisition and what the first exit in AI security signaled to the market- Competing as an inception fund against mega-funds writing giant seed rounds- What founders should actually look for in a venture partner beyond the check- The shift from building intelligence to controlling it, including routing, post-training, and on-prem deployment- Why enterprise data, workflows, and private evals are becoming the crown jewels- Vulnerability chaining, attack path reasoning, and how tools like Mythos are reshaping the security budget conversation- Agentic identity and why Keycard treats agents as short-lived problem solvers rather than digital twins- The Surf AI thesis on automated security hygiene and tying every asset back to an owner- The real bottleneck slowing agent adoption in the enterpriseChapters:0:00 Intro0:35 Ed's background and inception investing1:57 Day-one partnerships in the vibe-coding era3:53 The Protect AI exit to Palo Alto6:14 Competing as an inception fund against mega-funds9:17 What founders should look for in a VC partner11:48 From building intelligence to controlling it15:52 Boldstart's domain-specific model portfolio16:16 Private evals, context, and memory as crown jewels17:18 Mythos, vulnerability chaining, and attack path reasoning20:59 How much access should you give the model22:07 On-prem context and the autonomous workforce24:49 Agentic identity and Keycard28:11 Building brand and community with Insecure Agents31:30 The Surf AI thesis and automated security hygiene34:13 The real bottleneck to agent adoption37:09 The easy button, Palantir, and a multi-model world38:24 Two types of people in this new eraConnect with Ed:LinkedIn: https://www.linkedin.com/in/edsim/Boldstart Ventures: https://boldstart.vcEd's newsletter, What's Hot in Enterprise IT/VC: https://www.whatshotit.vcMore from Resilient Cyber:Substack: https://www.resilientcyber.ioSubscribe for more conversations with security practitioners and leaders.#aisecurity #agenticai #cybersecurity #venturecapital #appsec

Lauren Livak Gilbert is the Executive Director of the Digital Shelf Institute, a community of more than 11,000 brands and retailers navigating eCommerce and the digital shelf. She leads research, education, and industry collaboration on emerging commerce trends. Lauren specializes in agentic commerce, product content, citations, measurement, and helping brands turn complex digital shifts into practical strategies that drive customer acquisition and growth. Max Sinclair is the Founder and CEO of Azoma (formerly Ecomtent), an agentic commerce platform helping brands improve visibility and performance across AI-powered shopping. He leads company strategy, growth, and enterprise partnerships while advising brands on product discovery, content, and conversion across ChatGPT, Amazon Rufus, Walmart Sparky, and Google Gemini. Max also co-hosts The New Frontier: The Agentic Commerce & Answer Engine Optimization podcast. In this episode… Agentic commerce is becoming a priority for brands, but many teams are still defining how it fits into their eCommerce strategies. Rather than replacing the digital shelf, it expands how AI systems discover, evaluate, and recommend products. How can brands turn this shift into measurable growth? Digital shelf strategist Lauren Livak Gilbert and agentic commerce entrepreneur Max Sinclair answer by organizing the challenge around five C's: completeness, context, citations, correctness, and customer acquisition. Their framework shows brands how to strengthen product data, answer detailed shopper questions, build trust through credible sources, and correct inaccurate information across AI platforms. Lauren recommends treating agentic commerce as an extension of existing digital shelf work while developing a deeper understanding of shopper needs. Max emphasizes monitoring the entire category, identifying the sources AI tools rely on, and connecting visibility efforts to conversion and incremental revenue. Together, their guidance offers a practical way to prepare internal teams, prioritize investments, and measure meaningful business impact. In this episode of The Digital Deep Dive, Aaron Conant talks with Lauren Livak Gilbert, Executive Director of the Digital Shelf Institute, and Max Sinclair, Founder and CEO of Azoma, about decoding agentic commerce through the five C's. Lauren and Max show how brands can improve data completeness, add richer context, strengthen citations, ensure correctness, and drive customer acquisition. They also discuss AI shopping behavior, brand accuracy, and practical measurement.

For publishers and event organisers, knowing where to start with AI is a common conundrum. For Bridged Media's clients, the starting point is always a problem to be solved. Welcome to the latest in our Media Briefs series of short, sharp sponsored episodes, this time featuring a senior executive working with a vendor that is making their businesses better. In this episode, we hear from Sharon Roessen, Chief Operating Officer at global B2B events business Terrapinn, working with Bridged Media to develop a series of AI agents designed to streamline customer experience. She spoke about the development process - from identifying a problem to developing a solution - and how one agentic AI experiment has led to a suite of agents that are increasing event attendance and easing registration bottlenecks. This Media Briefs episode is sponsored by Bridged Media, democratising AI for publishers. Through no-code AI solutions, Bridged lets publishers access the power of machine learning and Gen AI to meet their engagement and revenue objectives. Learn more about Bridged Media's no-code AI tools on their website.

Nadav Cornberg, CEO of Eve Security, highlights the need for real-time security for agentic AI in healthcare environments to enforce policies and map agentic activities within an organization. There are unique risks posed by AI, such as ambiguity from natural language commands, the potential for unintended or malicious actions, and the amplified impact of a single AI error compared to human error. Nadav points out that many hospitals are likely unaware of the extent to which agentic AI is already active in their systems, and of why conducting risk assessments and policy reviews should be a priority. Nadav explains, "Eve Security provides two main services. One is our runtime security solution, which allows us to enforce policies when you connect any type of AI agent to a critical data source or system. The other solution that we provide is our AIDR, where we give you a full topology of what agentic activities are running in your organization. We do that by connecting to security systems like an EDR, NextGen Firewall, or your SIM."   "Just like we'll see a manager in the employee environment, in the physical world, that's why we have managers as well to guide employees on the work they want to do. How that works is we sit either on top of existing gateways or proxies, and that's how you will connect those agents to critical systems, or we connect to hooks."   "At the end of the day, the reality of how we're communicating and engaging with agents brings that new necessity. Existing security tools do not deal well with natural language. In addition to not dealing well with natural language, they're not doing well with trying to understand the true intent behind an action, and it's more built on static parameters. And that's the real gap that introducing AI agents into environments has brought. The risks are ambiguity and the unpredictable, non-deterministic behavior." #EveSecurity #AgenticAISecurity #SecurityatRuntime #AISecurity #HealthcareAI #PatientSafety #HospitalSecurity #AgenticAI #CyberSecurity #HealthIT #DataProtection Eve.security Download the transcript here

Nadav Cornberg, CEO of Eve Security, highlights the need for real-time security for agentic AI in healthcare environments to enforce policies and map agentic activities within an organization. There are unique risks posed by AI, such as ambiguity from natural language commands, the potential for unintended or malicious actions, and the amplified impact of a single AI error compared to human error. Nadav points out that many hospitals are likely unaware of the extent to which agentic AI is already active in their systems, and of why conducting risk assessments and policy reviews should be a priority. Nadav explains, "Eve Security provides two main services. One is our runtime security solution, which allows us to enforce policies when you connect any type of AI agent to a critical data source or system. The other solution that we provide is our AIDR, where we give you a full topology of what agentic activities are running in your organization. We do that by connecting to security systems like an EDR, NextGen Firewall, or your SIM."   "Just like we'll see a manager in the employee environment, in the physical world, that's why we have managers as well to guide employees on the work they want to do. How that works is we sit either on top of existing gateways or proxies, and that's how you will connect those agents to critical systems, or we connect to hooks."   "At the end of the day, the reality of how we're communicating and engaging with agents brings that new necessity. Existing security tools do not deal well with natural language. In addition to not dealing well with natural language, they're not doing well with trying to understand the true intent behind an action, and it's more built on static parameters. And that's the real gap that introducing AI agents into environments has brought. The risks are ambiguity and the unpredictable, non-deterministic behavior." #EveSecurity #AgenticAISecurity #SecurityatRuntime #AISecurity #HealthcareAI #PatientSafety #HospitalSecurity #AgenticAI #CyberSecurity #HealthIT #DataProtection Eve.security  Listen to the podcast here

What separates an impressive agentic AI demonstration from a deployment that produces measurable business value across an entire company? In this episode, I speak with Frank Theisen, Vice President of IBM Technology across Europe, the Middle East and Africa, about how businesses can move AI agents beyond isolated pilots and into the processes where work actually happens. Frank believes the conversation has changed considerably. Most large companies are deploying some form of AI, yet many still struggle to demonstrate a significant commercial return. The difference comes from connecting AI with end-to-end business processes rather than creating another assistant that sits outside the systems employees use every day. IBM has attempted to prove this internally through its "client zero" approach, using its own technology across human resources, IT, procurement, sales and software development before taking those practices to customers. The company reports that AI, automation and hybrid cloud have contributed to $4.5 billion in productivity gains over three years. Frank explains how IBM's AskHR service handles common employee inquiries and helps managers complete administrative tasks without learning how to operate several separate enterprise applications. IBM reports that AI now resolves 94 percent of common HR requests automatically, while similar work is taking place across IT support and procurement. The discussion then turns to orchestration. As companies acquire agents from multiple software providers, the problem becomes far larger than creating individual assistants. Businesses need to understand how agents communicate, which systems they can access, what identities they use and who remains accountable for their actions. Frank expects the number of applications, agents and non-human identities to grow rapidly. Without orchestration and governance, companies risk recreating the same application sprawl they have spent years attempting to reduce, this time with software capable of making decisions and generating additional code. Data presents another barrier. Publicly trained models rarely contain the proprietary information that gives a company its commercial advantage. That information remains distributed across databases, applications, mainframes and cloud services. Frank argues that enterprises need a governed, federated way to bring AI to their data without repeatedly copying everything into another repository. We also discuss digital sovereignty across Europe and the Middle East. Frank describes sovereignty as a matter of control across data, operations and technology. Companies need to decide which workloads require isolation, which regulations apply and where dependence on one provider could limit their future choices. Wimbledon provides a timely example of these principles in practice. IBM Bob helped modernize the tournament's digital platform by mapping and migrating approximately 15,000 articles, videos, photographs and related metadata. IBM says work that would traditionally require four or five specialists over several months was completed by one engineer within four weeks, with the assets themselves extracted in 47 minutes. Frank closes with three practical priorities. Understand where AI could affect the business, determine how successful use cases can be automated across complete processes, then address security, governance and provider dependence before expanding them. If your company already has dozens of AI pilots, should the next investment create another agent or coordinate the ones you already have? Listen to the episode and share your thoughts with me.

For most enterprises, autonomous AI agents still feel like a risk waiting to happen. Andi Gutmans, Vice President and General Manager for Data Cloud at Google, joins Cindi Howson to explain what it takes to build the data foundation that trustworthy agentic AI depends on. He breaks down how organizations can finally activate the 90 percent of enterprise data that's unstructured, why tokenmaxxing is the wrong way to measure AI value, and how open standards like Apache Iceberg are helping leaders tear down fragmented, multi-cloud data silos and unify data across clouds. Key Moments: Perception vs. Reality in Trusting Autonomous AI (03:55): Waymo is safer than a human driver by the numbers, but most people still choose Uber. Andi explains why closing that trust gap takes time. Activating the 90% of Unstructured Data (09:40): Most enterprise data sits in images, PDFs, and contracts, never touched by traditional analytics. Andi explains how AI finally makes that dark data usable. Crawl, Walk, Run: Scaling Autonomous Agents in Production (16:37): Virgin Voyages cut weather disruption rebooking from six hours to eleven minutes with autonomous agents. Andi explains the thresholds that made scaling safe. Token Efficiency Over Tokenmaxxing (19:54): Andi pushes back on tokenmaxxing as a measure of progress. Real success means the best outcome with the fewest tokens and the cheapest model for the job. Breaking Down Data Silos with a Borderless, Open Lakehouse (27:01): Most enterprises run on a messy mix of multiple clouds. Andi explains how open standards like Apache Iceberg tear down those walls. Key Quotes: “Over ninety percent of enterprise data is actually unstructured data... AI is really good at reasoning around this unstructured data, and so we can make a hundred percent of the data state light up.” - Andi Gutmans “If you take a Waymo, you're actually eighty percent less likely to get into a hurtful accident than if you take a service with a human driver. Still, most people prefer to take the Uber versus the Waymo…  It's going to take time to earn the trust to understand what quality outcomes we can drive.” - Andi Gutmans “ The way we're thinking about the data platform is the best context is the context that drives the outcomes you need with the least amount of tokens and processing.” - Andi Gutmans Mentions Blue Ocean Strategy by W. Chan Kim and Renée Mauborgne Virgin Voyages case study (Google Cloud) Vodafone, Google Cloud and TM Forum Unveil Framework for Self-Optimising Autonomous Networks Guest Bio Andi Gutmans is the General Manager and Vice President for Data Cloud at Google, which includes operational databases, analytical data platforms, open lakehouse technologies, and  Business Intelligence. His core focus involves building, managing, and scaling highly innovative data services to deliver a leading AI-native data platform for businesses. Before joining Google Cloud, Gutmans was VP Analytics at AWS, where he managed services such as Amazon Redshift, AWS Glue, and Amazon EMR. Prior to that, he co-founded and served as CEO of Zend Technologies, a company built around the open-source PHP language, of which he was a co-creator. Andi Gutmans is a highly experienced leader with over 20 years dedicated to open source contributions. He is particularly renowned as a co-creator of the open-source PHP language, which has become one of the most widely used languages for web development. He is an emeritus member of the Apache Software Foundation and served on the Eclipse Foundation's board of directors. Gutmans holds a bachelor's degree in Computer Science from the Technion, Israel Institute of Technology. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

In this Sponsor Spotlight episode, Jeff Steadman flies solo and welcomes Greg Danyi, co-founder and CTO of P0 Security, to the show. Greg walks through P0's approach to runtime access control, covering how it applies to humans, non-human identities, and AI agents alike. The conversation digs into the difference between authentication and authorization, why zero standing privilege is more achievable now than before agentic adoption took hold, and how dynamic, evidence-based policies can reduce reliance on manual approvals. Greg also shares real examples, including row-level access control for data lakes and a CRM mishap that shows how easily agents can misinterpret intent. The episode closes with a look at where enterprise AI agent governance may be headed over the next few years, plus a lighter conversation about explaining IAM to a 10-year-old. This episode is made possible through the generous support of P0 Security as part of IDAC's nonprofit Sponsor Spotlight series. Learn more at p0.dev/idac.Connect with Greg (Gergely): https://www.linkedin.com/in/gergely-danyi/Learn more about P0: https://p0.dev/idac/Connect with us on LinkedIn:Jim McDonald: https://www.linkedin.com/in/jimmcdonaldpmp/Jeff Steadman: https://www.linkedin.com/in/jeffsteadman/Visit the show on the web at http://idacpodcast.com00:00 - Introduction and sponsor acknowledgment01:13 - Greg Danyi's path into IAM02:18 - What P0 Security solves for03:21 - Where P0 fits versus PAM and IGA04:46 - Agentic identity as a driver of adoption05:27 - MCP servers and unpredictable agent actions07:10 - Defining runtime access control08:50 - How authentication and authorization work together09:07 - Standing access versus expressed intent10:16 - Zero standing privilege in practice12:27 - Agentic identity as a distinct identity class19:24 - Automated evidence for approvals20:42 - Walking through a support agent example22:13 - Row-level access control for data lakes23:35 - Dynamic roles explained29:55 - CRUD risks and underestimated concerns31:32 - Human intent and giving agents clear direction36:32 - Where enterprise AI agent governance is headed39:36 - Advice for CIOs and CISOs getting started41:15 - Explaining IAM to a 10-year-old42:29 - Board games, dice, and calculated risk44:00 - Closing thoughts and where to learn moreKeywords: IDAC, Identity at the Center, Jeff Steadman, Jim McDonald, Greg Danyi, P0 Security, runtime access control, agentic identity, zero standing privilege, non-human identity, authentication, authorization, IAM podcast

Infrastructure readiness has become the real bottleneck for agentic AI in healthcare, as enterprises confront the shift from systems that generate content to systems that execute tasks across complex, regulated workflows.   In this episode, Alex Tyrrell, SVP and CTO of Health at Wolters Kluwer, examines how agentic AI changes operational demands for healthcare organizations in conversation with host Matthew DeMello, highlighting the need for domain‑adapted reasoning, granular APIs, and stronger observability as agents drive higher‑volume system interaction.   He underscores the practical implications for leaders: preparing backend systems for agent‑driven load, adapting models to real‑world workflows, and avoiding monolithic architectures that limit safe, scalable deployment.   Learn how to evaluate AI vendors by assessing leadership expertise, and why funding benchmarks can signal product maturity and stability, download our free PDF report, "5 Ways to Select the Right AI Vendor," at emerj.com/aiv1  

Shane Colella, an Emmy-winning cinematographer turned marketing director at automation firm Westfalia Technologies, makes the case that the agentic era has no historical analog — and that the marketers who win won't wait for permission to find out. He walks through the agentic infrastructure he's actually building, from research dashboards to a Claude-and-n8n pipeline that erases hours of list-building, and argues the real bottleneck isn't technology but getting everyone else on board. Along the way he reframes the fear of lost jobs and vanishing entry-level roles as a perception problem, and lands on a provocation: this moment belongs to disciplined creatives with the clearest vision.

Linus delivers a blunt verdict on AI in the Linux kernel, Chris finds the remote Linux desktop that finally works, and Brent gives his notes system a serious rebuild.Sponsored By:Jupiter Party Annual Membership: Put your support on automatic with our annual plan, and get one month of membership for free!Managed Nebula: Meet Managed Nebula from Defined Networking. A decentralized VPN built on the open-source Nebula platform that we love.Support LINUX UnpluggedLinks:Web Boost — Send us a boost via sats or USD

CRM is finally moving closer to where sellers actually work.In this episode, John sits down with Ryan Braastad from Microsoft to talk about agentic CRM, AI adoption, productivity tools, and why the old system-of-record model has created so much friction for sales teams. Ryan shares lessons from Forrester, Yammer, Salesforce, his own startup, and Microsoft as he explains how the next wave of CRM can move closer to the flow of work.If you are in sales leadership, RevOps, enablement, or go-to-market strategy, this conversation gives you a practical look at what AI should actually do for reps: reduce admin, improve data quality, support better habits, help leaders coach more effectively, and give sellers more time to focus on customers and revenue.Want to prepare your sales team for the next version of CRM before the market moves again? Visit www.jbarrows.com and learn how you can Make It Happen.What You'll LearnWhy CRM is shifting from a system of record to a system of actionHow AI can support sellers inside the tools they already use every dayWhy CRM adoption has often failed to give reps a clear benefitHow sales leaders can think about revenue per seller as AI becomes part of the workflowWhy AI adoption should start with one specific use case, not a company-wide free-for-allWhat agentic CRM actually means and why it is different from bolting AI onto old softwareRyan Braastad is a customer-obsessed tech marketing leader at Microsoft, where he works on product strategy across Dynamics 365 and Microsoft 365, helping shape the future of agentic CRM and AI-powered productivity tools. His background spans Forrester, Yammer, Salesforce, and a self-founded fitness startup, with experience across product marketing, go-to-market strategy, productivity, collaboration, enterprise social, and business applications.Connect with Ryan Braastad:LinkedIn: https://www.linkedin.com/in/rbraastad/John Barrows is a sales trainer, speaker, and founder of JB Sales with over 25 years of experience in the industry. He has made hundreds of cold calls a week, led startups to acquisition, and trained high-performing teams at companies like Salesforce, LinkedIn, Amazon, and Okta. Through JB Sales, John focuses on practical sales execution—helping reps fill pipeline, close deals, and build trust with buyers in today's AI-driven sales environment.Connect with John Barrows:LinkedIn: https://www.linkedin.com/in/johnbarrows/ Instagram: https://www.instagram.com/johnmbarrows/ TikTok: https://www.tiktok.com/@johnmbarrows Check out John's Membership: https://go.jbarrows.com/ Join John's Newsletter: https://www.jbarrows.com/newsletter

AI agents have become capable of reasoning across large amounts of data, calling tools, and taking sequences of actions autonomously. These qualities make them well suited to some of the most persistent pain points in DevOps, including the on-call engineer woken at 3 AM to diagnose an incident, the build failure that takes hours to The post Agentic DevOps at AWS appeared first on Software Engineering Daily.