Podcasts about genai

Anjali Kakkad is the Founder, Aligned Rewards - a business growth management and stakeholder alignment platform aligning 360 feedback, employee engagement, goal management, and task management. She also leads Product Growth, Strategy including GenAI and Scalable Architecture for Google Maps.

Spending more time fixing your AI outputs then you're saving? You're not alone. The trap? You're in operator mode. Falling for the industry status quo like upskilling and human-in-the-loop. The real winners in the AI race? Companies that have changed the human-AI relationship. How? Join us for Volume 4 of our Start Here Series as we uncover what you need to know. Human-AI Collaboration: Best practices for working alongside AI -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion 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:Human-AI Collaboration Best Practices 2026Shift from Operator to Orchestrator RolesHuman-in-the-Loop Limitations ExplainedExpert-Driven AI Review Loops vs. Generic OversightOrchestrating AI Agents for Business ProductivityBuilding Reusable AI Context and SkillsElevating AI Champions on TeamHuman Strengths vs. AI Strengths in WorkflowsAvoiding Augmentation Debt and Workflow PitfallsMindset Shifts for Effective AI ManagementTimestamps:00:00 "Everyday AI: Start Here"03:23 "AI Shift: Operator to Orchestrator"06:35 "Unlearn to Harness AI"11:15 "AI Surpassing Human Collaboration"15:11 Expert-Driven AI Process Loops18:10 "Expert Collaboration Boosts AI ROI"23:59 "Outsmarting AI Through Expertise"26:30 "Navigating AI Success Strategies"31:19 "Embrace AI, Elevate Your Team"32:18 "Embrace AI, Elevate Humanity"Keywords: Human-AI collaboration, AI best practices, working alongside AI, human-AI relationship, AI orchestration, AI orchestrator, shift from operator to orchestrator, agentic workflows, AI agents, digital agents, expert-driven loops, expert oversight, senior partners with AI, context engineering, AI processes, context vaults, AI skills files, company data, chain of thought review, large language models, AI-powered workflows, AI expertise, AI in business, AI productivity, AI risk management, human in the loop, upskilling, reskilling, unlearning, AI mindset shift, augmented intelligence, multi-agent systems, AI automation, organization AI strategy, context quality, AI champion, domain experts, AI team integration, competitive advantage with AI, process redesign for AI, AI-powered decision making, accountability in AI, empathy in AI, ambiguous decision-making, novel judgment.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 

Why do most GenAI initiatives never make it past the pilot stage? On this week's DisrupTV, Vernon Keenan and Nicholas Thorne cut through the hype to explain why enterprise AI stalls, where real value in AI architectures is emerging, and how founders and leaders can co-build with AI to create lasting competitive advantage—from virtual employees to radically human entrepreneurship.

If AI Agents have capabilities just like humans, should we treat them like humans? If something goes wrong in an agentic workflow, who takes the blame if they're all just nameless, faceless bots? Join us as we talk about it. Do AI Agents need Identities like humans? An Everyday AI Chat with Jordan Wilson and Okta's Eric KelleherNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion 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:AI Agents in Enterprise: Opportunities and RisksAgentic AI: Human vs. Agent ResponsibilitySecuring AI Agent Identities: Okta's ApproachEvolution of Identity Management for AI AgentsIdentity Governance and Auditability for AgentsAgent Impersonation and Cybersecurity ThreatsRogue AI Agent Behaviors and Case StudiesZero Trust Security: Agentic Age ChallengesOpen Standards: Cross App Access ProtocolBenefits of Identifying AI Agents Like HumansResponsible AI Adoption and Ethical ConcernsPractical Steps to Secure Agentic IdentityTimestamps:00:00 "AI Agents: Power and Pitfalls"05:38 "Automating Identity and Access Governance"06:49 Balancing Innovation and AI Security11:57 "Addressing Rogue AI Threats"17:17 "Securing Real AI Agents"19:56 "Balancing AI Innovation and Security"24:13 "Standards for Identifying Nonhuman Agents"27:24 "AI Agents: 24/7 Security"29:48 Securing and Managing Agent IdentitiesKeywords: AI agents, agentic AI, AI agent identity, securing AI agents, agentic identities, AI identity management, nonhuman identity, machine identity, multi agent orchestration, agent impersonation, agent governance, securing agents, compromised identity, cyber attacks, threat actors, state actors, privileged access management, identity governance, identity directory, auditability, credential vaulting, agent provisioning, agent deprovisioning, automation, zero trust, AI authorization, AI authentication, cross app access, model context protocol, identity security posture management, rogue agent behavior, agent discovery, business logic, anomaly detection, technology guardrails, responsible AI, ethical AI,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 

Losing some skills to Gen AI isn't decline — it's evolution. As AI takes over routine tasks, humans gain space for creativity, empathy, judgment, and strategy — the abilities that truly define our value. That's the key take-away message of this episode of the Wise Decision Maker Show, which talks about why losing skills to Gen AI is a winning strategy.This article forms the basis for this episode: https://disasteravoidanceexperts.com/why-losing-skills-to-gen-ai-is-a-winning-strategy/

What are the key lessons you've learned about building high-performance teams that actually move the needle? You've described the classic “SWAT team” lifecycle: small, focused, agile—and then scale brings complexity and drag.What's one example from your career where you saw that SWAT energy sustained—or completely lost—when scaling? What was the key difference?At Walmart scale, structure is inevitable.How do you personally balance the need for speed and experimentation with the operational rigor required in a global enterprise? How do you know when it's time to add process—and when to get out of the team's way? You mentioned protecting velocity and preserving that tight customer feedback loop. How are you using GenAI to enable that today? Can you share a concrete way GenAI is helping Walmart teams make faster, more informed decisions? You've worked across startups and Fortune 1. What genuinely excites you right now?Is it the technology, the scale, the people challenge? What's keeping you energized as you lead this next chapter of transformation?

Wait.... AI can do THAT now?

Gretchen Stewart knows she doesn't know it all, always asks why, challenges oversimplified AI stories, champions multi-disciplinary teams and doubles down on data.   Gretchen and Kimberly discuss conflating GenAI with AI, data as the underpinning for all things AI, workflow engineering, AI as a team sport, organizational and data siloes, programming as a valued skill, agentic AI and workforce reductions, the complexity inherent in an interconnected world, data volume vs. quality, backsliding on governance, not knowing it all and diversity as a force multiplier.Gretchen Stewart is a Principal Engineer at Intel. She serves as the Chief Data Scientist for the public sector and is a member of the enterprise HPC and AI architecture team. A self-professed human to geek translator, Gretchen was recently nominated as a Top 100 Data and AI Leader by OnConferences. A transcript of this episode is here.   

בפרק חדש בסדרה, יוני אירח את בן בלנקי, Founder & Growth Architect @ SuperteamOS לשיחה על איך נראית צמיחה בעידן שבו הקצב והציפיות מהמוצר משתנים במהירות. ----------- דיברנו על: - איך GenAI משנה את האופן שבו חושבים על צמיחה במוצרים - אילו עקרונות של צמיחה נשארו רלוונטיים, ואילו כבר לא עובדים בעידן החדש - איך ליישם טכניקות חדשות לצמיחה, ומאילו טעויות שווה להמנע - ומה חשוב לקחת בחשבון כשבונים אסטרטגיית צמיחה רלוונטית לשנה הקרובה

One of the biggest mistakes in AI? Thinking that your company's AI use is noteworthy. Or, even a competitive advantage. It's not. We break it down in Volume 3 of our 'Start Here Series.' AI as an Operating System: LLMs Are the Internet Now -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion 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:AI As An Operating System ExplainedLarge Language Models Replace Traditional AppsAI Integration in Knowledge Work PlatformsChoosing the Right AI Operating SystemMicrosoft Copilot vs. Google Gemini vs. Claude vs. ChatGPTAgentic Browsers Powering Autonomous WorkflowsModel Context Protocol (MCP) for AI AgentsOrchestration Layer and Agent CollaborationChatGPT Apps Merging AI and InternetEnterprise Data Integration with AI ToolsContext Switching Reduction Through AI AgentsStrategic AI Adoption and Platform RedundancyTimestamps:00:00 "AI: A New Operating System"03:58 "AI Transforming Work Interfaces"06:41 "Collaborating in AI-Native Workspaces"12:25 Anthropic's Innovations in AI Tools13:46 "OpenAI's Strategy and Market Focus"18:02 "Cognitive Evolution Through AI"20:57 "Agentic Browsers: Key 2025 Advancement"25:12 Improving Content Through Data Insights26:42 "Anthropic's MCP: The AI Connector"32:19 "AI Tools for Productivity Integration"34:20 "AI: Unlocking Context and Efficiency"36:32 AI Governance and System Portability39:35 "AI Operating System Insights"Keywords: AI operating system, large language models, LLMs, AI as infrastructure, enterprise AI, AI adoption, agentic workflows, AI agents, orchestration layer, Copilot, Microsoft 365 Copilot, Google Gemini, Gemini business, Gemini enterprise, Anthropic Claude, Claude cowork, MCP, model context protocol, OpenAI, ChatGPT, ChatGPT apps, ChatGPT business, ChatGPT enterprise, AI native, dynamic data integration, productivity with AI, collaboration tools, agentic browsers, autonomous AI agents, context window, memory and personalization, expert-driven loops, app hop tax, context switching, AI integration in business, AI tools for teams, AI platform selection, data governance, modular AI workflows, permissions and audit logs, backup and redundancy in AI, competitive advantage with AI, 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 

In this episode of Tacos & Tech, Neal Bloom sits down with longtime friend, founder, and self-described “Maine Melon,” Jared Ruth, founder of Ripcurrent. What starts as a walk down memory lane through San Diego's early startup ecosystem turns into a wide-ranging conversation about entrepreneurship, marketing, AI, and the human moments technology should protect - not replace.Jared shares his journey from decades in telecom and corporate innovation to building Ripcurrent, a marketing and automation agency focused on Main Street businesses. Together, Neal and Jared unpack how generative AI and no-code tools have radically lowered the barrier to building, why small businesses are both overwhelmed and empowered by tech, and how the next era of marketing isn't about shouting louder - it's about removing friction so humans can show up where it matters most.Key Topics Covered* Jared's path from telecom and corporate innovation to founding Ripcurrent* Early days of San Diego's startup ecosystem, Founder Dinners, and CTO roundtables* Building “startups inside big companies” and why that experience matters* The moment GenAI unlocked solo building and rapid experimentation* Vibe coding, no-code tools, and the rise of AI-native workflows* Why small and Main Street businesses struggle with modern marketing tech* Google Business Profiles, search, and what visibility means in an LLM-driven world* Automation as a way to remove transactional work - not human connection* Where AI agents help brands and where they can quietly destroy trust* Why trust and brand moments matter more than the underlying technology* Parallels between AI adoption and autonomous driving trust curves* Using technology to give business owners their time - and humanity - back* The optimism (and responsibility) that comes with building in the AI eraLinks & Resources* RipcurrentConnect with Jared & Neal* Jared Ruth* Neal Bloom This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit risingtidepartners.substack.com/subscribe

Mary O'Carroll isn't experimenting for fun, she's trying to solve one of legal's biggest scaling problems: the fact that the profession's best judgment and hard-earned experience still lives in people's heads, buried in laptops, or scattered across years of emails. So in this episode of Pearls On Gloves Off, Mary runs a real test: she trains a digital twin on essentially all of her content (podcasts, talks, blogs, speeches), and then sits down for a conversation with "Digital Mary" to find out whether a digital mentor can actually deliver useful guidance. In this episode: Digital Mentors, Tested: Why Mary built a digital twin trained on decades of her content - and whether AI can realistically scale mentorship and judgment in legal. Legal Ops, Rewritten: How the function has evolved from managing outside counsel spend to driving technology, data, and GenAI-enabled transformation. The Lawyer Skillset Is Shifting: Why trust, judgment, and relationship-building matter more than ever, even as training models struggle to keep up. Tech Hype vs. Real Impact: How to think "problem first, tool second," and why foundational legal tech still delivers massive value alongside AI. Pressure on the Billable Hour: What AI exposes about law firm economics, pricing, and the growing need for right sourcing and true partnership. If you're thinking about training, legal ops scale, AI disruption, or the future of law firm economics, this episode is a rare, real-time look at how the profession might start "bottling" expertise, and what it will take to do it well. Follow Mary on LinkedIn  Rate and review on Apple Podcasts Explore the Forces of Law collection and download the report to get the insights you need to future-proof your business strategy: https://bit.ly/45Tvpfd

Generative AI is moving fast—and in pharma, it's no longer just a buzzword. In this episode of The Effective Statistician Podcast, I speak with Manuel Cossio about how Generative AI is already being applied in real-world pharma settings, where it's delivering value today, and what still needs careful consideration in regulated environments. Manuel brings a unique hybrid background, combining molecular biology, genetics, pharma experience, and deep AI engineering expertise. He works at the cutting edge of AI in clinical development, including agentic systems, human-in-the-loop approaches, and large-scale document automation. This conversation goes well beyond theory. We focus on practical use cases, real limitations, and how statisticians, programmers, and data scientists can responsibly use GenAI to become more effective.

Welp. That was wild.

Soup's on! Nadia, Eric, and special guest Rebekah Valentine are cooking up an RPG Stew of games they've been playing lately. Plus, how prerelease parties at your local gaming store help build community, (the “G” in MTG stands for “gathering”). Subscribe for bonus episodes and discord access at https://www.patreon.com/bloodgodpod and celebrate our 10th Anniversary with new merch at https://shop.bloodgodpod.com Also in this episode: Nadia's MAGfest Recap Comments on genAI at Cygames Final Fantasy VII Remake in “Streamlined Progression” Mode Timestamps: 11:04 - Main Topic - RPG Stew 01:18:32 - Random Encounters 1:28:25 - Magic the Gathering Nook Music Used in this Episode: Do Your Best - [Breath of Fire III] A Curious Tale - [Secret of Mana] Main Theme - [Octopath Traveler 0] Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of Tech Talks Daily, I sat down with Keith Zubchevich, CEO of Conviva, to unpack one of the most honest analogies I have heard about today's AI rollout. Keith compares modern AI agents to toddlers being sent out to get a job, full of promise, curious, and energetic, yet still lacking the judgment and context required to operate safely in the real world. It is a simple metaphor, but it captures a tension many leaders are feeling as generative AI matures in theory while so many deployments stumble in practice. As ChatGPT approaches its third birthday, the narrative suggests that GenAI has grown up. Yet Keith argues that this sense of maturity is misleading, especially inside enterprises chasing measurable returns. He explains why so many pilots stall or quietly disappoint, not because the models lack intelligence, but because organizations often release agents without clear outcomes, real-time oversight, or an understanding of how customers actually experience those interactions. The result is AI that appears to function well internally while quietly frustrating users or failing to complete the job it was meant to do. We also dig into the now infamous Chevrolet chatbot incident that sold a $76,000 vehicle for one dollar, using it as a lens to examine what happens when agents are left without boundaries or supervision. Keith makes a strong case that the next chapter of enterprise AI will not be defined by ever-larger models, but by visibility. He shares why observing behavior, patterns, sentiment, and efficiency in real time matters more than chasing raw accuracy, especially once AI moves from internal workflows into customer-facing roles. This conversation will resonate with anyone under pressure to scale AI quickly while worrying about brand risk, accountability, and trust. Keith offers a grounded view of what effective AI "parenting" looks like inside modern organizations, and why measuring the customer experience remains the most reliable signal of whether an AI system is actually growing up or simply creating new problems at speed. As leaders rush to put agents into production, are we truly ready to guide them, or are we sending toddlers into the workforce and hoping for the best? Useful Links Connect with Keith Zubchevich Learn more about Conviva Chevrolet Dealer Chatbot Agrees to Sell Tahoe for $1 Thanks to our sponsors, Alcor, for supporting the show.

Powering businesses to accomplish their daily work remains Intuit's central mission, using AI and a network of human experts to accomplish a wide range of business tasks for more than 100 million customers, from closing accounting books, processing payroll to preparing taxes. In this Tech Disruptors podcast episode, Intuit CTO Alex Balazs speaks with Bloomberg Intelligence analyst Niraj Patel about the company's evolution from a provider of desktop products to its latest AI agents. Balazs also touches on its data-scale differentiator, how GenAI is reshaping software and Intuit's future position as a financial-operating system.Tech Disruptors: Listen to this episode on Apple Podcasts and Spotify.

"How do I create the 'wow' moment for my end user? And slowness never creates the wow moment." PolarGrid founder and CEO Rade Kovacevic believes GenAI video and voice will be killer apps once they can function in real-time. Enabling real-time GenAI requires uncorking the inference bottleneck that the hyperscalers have helped build. The BetaKit podcast is presented by Fasken Emerging Tech, supporting trailblazing startups, venture capital funds and acquirers of high-growth tech companies for over 30 years. If you're curious about the health of Canada's tech M&A scene, you've got to check out Exit InSights. It's a first-of-its-kind report from Fasken's Emerging Technology & Venture Capital Group that analyses private M&A activity among VC-backed and high-growth tech companies. You'll learn how buyers and sellers are maximizing value, minimizing risk, and navigating one of the most vibrant tech ecosystems out there. Download your free copy of the report.

Welcome to the third inning of the modern AI era and welcome to this week's theCUBE Research Insights, powered by ETR. In this special Breaking Analysis we assess the shift from the shock of “what is this Gen AI thing?” to “how do we make it work for us?” And how can we get agents to reliably take action to deliver the productivity gains the tech industry has promised. To do so, we're pleased to host our fifth annual data predictions power panel with collaborators from the Cube Collective, members of the Data Gang and some of the industry's leading data analysts. With us today are five industry experts focused on data and related topics. Sanjeev Mohan of Sanjmo, Tony Bear of DB Insight, Dave Menninger of ISG Research, Kevin Petrie of BARC, and Andrew Brust of Blue Badge Insights.

The AI gap will kill companies.What is it? it's the large divide between AI's crazy impressive capabilities and what most companies are actually using them for. And one of the biggest reasons for the AI gap? Talking. Like... no one understands how to talk about AI because the technology changes faster than Usain Bolt in Beijing. You wanna talk to your AI team about LLMs? PFT. They're running Ralph Wiggum loops in Claude Code and just kinda reading the code before it hits production. Yeah, the divide is WIIIIIDE. So we're gonna tackle it together on the second volume of our Starter Series: AI Without the Jargon: The AI Language Every Business Leader Needs to live by in 2026 -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion 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:AI Jargon Barrier for Business LeadersGenerative AI Basics and Lingo BreakdownChatGPT, Claude, and Gemini Model ComparisonUnderstanding Tokens and Context WindowsLarge Language Models: Prompt to OutcomeParameters, Model Power, and Cost ImplicationsRetrieval Augmented Generation (RAG) ExplainedEmbeddings, Vector Databases, and ChunkingAgentic Models vs. Transformer ModelsAI Risks: Hallucinations, Prompt Injection, GuardrailsModel Context Protocol (MCP) and ConnectorsScaffolding for Complex AI WorkflowsAI Success: ROI, Risk, and Implementation StrategiesTimestamps:00:00 "Join Start Here Series Community"03:21 Bridging AI and Business Leaders09:35 Partnering for Generative AI Success12:26 "AI Models Operate Using Tokens"15:41 "Shift to Smaller AI Models"18:56 "Understanding RAG and Its Impact"22:38 "AI Tools Connecting via MCP"24:56 "Minimizing AI Hallucinations Effectively"28:45 "Fast, Careful AI Implementation"30:53 "AI Guide for Business Leaders"Keywords: AI language, AI jargon, artificial intelligence terminology, AI lingo, large language model, generative AI, prompt engineering, context engineering, context window, tokens, tokenization, model architecture, model parameters, neural network connections, 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 

Corey Zumar is a Product Manager at Databricks, working on MLflow and LLM evaluation, tracing, and lifecycle tooling for generative AI.Jules Damji is a Lead Developer Advocate at Databricks, working on Spark, lakehouse technologies, and developer education across the data and AI community.Danny Chiao is an Engineering Leader at Databricks, working on data and AI observability, quality, and production-grade governance for ML and agent systems.MLflow Leading Open Source // MLOps Podcast #356 with Databricks' Corey Zumar, Jules Damji, and Danny ChiaoJoin the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletterShoutout to Databricks for powering this MLOps Podcast episode.// AbstractMLflow isn't just for data scientists anymore—and pretending it is is holding teams back. Corey Zumar, Jules Damji, and Danny Chiao break down how MLflow is being rebuilt for GenAI, agents, and real production systems where evals are messy, memory is risky, and governance actually matters. The takeaway: if your AI stack treats agents like fancy chatbots or splits ML and software tooling, you're already behind.// BioCorey ZumarCorey has been working as a Software Engineer at Databricks for the last 4 years and has been an active contributor to and maintainer of MLflow since its first release. Jules Damji Jules is a developer advocate at Databricks Inc., an MLflow and Apache Spark™ contributor, and Learning Spark, 2nd Edition coauthor. He is a hands-on developer with over 25 years of experience. He has worked at leading companies, such as Sun Microsystems, Netscape, @Home, Opsware/LoudCloud, VeriSign, ProQuest, Hortonworks, Anyscale, and Databricks, building large-scale distributed systems. He holds a B.Sc. and M.Sc. in computer science (from Oregon State University and Cal State, Chico, respectively) and an MA in political advocacy and communication (from Johns Hopkins University)Danny ChiaoDanny is an engineering lead at Databricks, leading efforts around data observability (quality, data classification). Previously, Danny led efforts at Tecton (+ Feast, an open source feature store) and Google to build ML infrastructure and large-scale ML-powered features. Danny holds a Bachelor's Degree in Computer Science from MIT.// Related LinksWebsite: https://mlflow.org/https://www.databricks.com/~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our Slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Corey on LinkedIn: /corey-zumar/Connect with Jules on LinkedIn: /dmatrix/Connect with Danny on LinkedIn: /danny-chiao/Timestamps:[00:00] MLflow Open Source Focus[00:49] MLflow Agents in Production[00:00] AI UX Design Patterns[12:19] Context Management in Chat[19:24] Human Feedback in MLflow[24:37] Prompt Entropy and Optimization[30:55] Evolving MLFlow Personas[36:27] Persona Expansion vs Separation[47:27] Product Ecosystem Design[54:03] PII vs Business Sensitivity[57:51] Wrap up

AI agents can do our work. OK, sweet. But they can also do.... a lot of bad. Yikes.

Today's arms race looks a little different from those of the past. Under the Trump administration, the US Department of War (DoW) is deploying generative AI to millions of employees in order to maintain a strategic edge over our global adversaries. Sarah Guo and Elad Gil sit down with Emil Michael, the Under Secretary of War for Research and Engineering of the United States, to discuss the radical technological transformation of the US military. Emil outlines the architecture and launch of GenAI.mil, a DoW internal AI platform powered by Gemini and Grok that reached over one million unique users in its first 30 days. He also highlights critical technology priorities for national security, including hypersonics, direct energy, and autonomous drone swarms. Together, they also explore the urgent need to rebuild the American defense industrial base and end dependency on foreign supply chains for critical materials, as well as how Emil is recruiting the next generation of “fixer-builder” workers to serve their country in government.  Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @USWREMichael | @DoWCTO Chapters: 00:00 – Cold Open 00:00 – Emil Michael Introduction 00:58 – Emil's Role at the Department of War 05:22 – Innovation Priorities for the DoW 08:27 – Shift Toward Autonomous Defense Technologies 10:41 – Identifying Common Needs Across the DoW 12:02 – Architecting GenAI.mil 13:48 – Applied AI Initiatives at the DoW 15:57 – The Future of Warfare 17:55 – Recruiting for DoW 19:33 – Arsenal of Freedom Tour 22:25 – Opportunities for Entrepreneurs at DoW 25:49 – Speeding Up and Scaling DoW Initiatives 28:37 – Innovation in Defense Tech 30:00 – Change Management in Government 32:09 – Rebuilding the Defense Industrial Base 37:27 – Initiatives and Opportunities at the Office of Strategic Capital 41:41 – Lessons from Emil's Government Experience 44:30 – Conclusion

Apple has introduced Creator Studio, a subscription-based suite that embeds AI-assisted features directly into familiar productivity and creative tools while maintaining strict control over interfaces and user experience. Alongside this launch, Apple confirmed a multiyear partnership with Google to use Gemini and Google Cloud as foundational AI infrastructure, reportedly involving annual payments of around $1 billion. The approach reinforces Apple's strategy of treating AI models as interchangeable components while retaining authority at the application layer, shifting responsibility for governance and oversight away from the platform and toward downstream users and advisors.Google, meanwhile, expanded Gemini through a new Personal Intelligence feature that can reason across Gmail, Photos, Search, and YouTube data for consumer accounts. Available initially to paid subscribers and requiring explicit consent, the capability highlights Google's advantage in contextual data rather than model novelty. By keeping the feature out of Workspace for now, Google appears to be setting user expectations in consumer environments before enterprise deployment, a move that may influence how business users evaluate AI-enabled decision support in the future.Pax8 disclosed a data leak affecting approximately 1,800 MSP partners after an internal spreadsheet was mistakenly shared with a limited number of recipients. While no personally identifiable information was exposed, the data included licensing and commercial details that could be used for competitive intelligence or targeted attacks. The incident coincides with Pax8's rapid international expansion, new regional offices, and growing reliance by MSPs on its marketplace for procurement and security tooling, including the recent addition of Cork Cyber's risk intelligence platform.Taken together with renewed attention on AI governance, the Secure by Design initiative, and guidance on when to apply GenAI versus traditional code, the episode underscores a widening gap between automation and authority. Surveys show a majority of IT leaders now prioritize AI governance, reflecting concern over accountability, data flows, and failure handling. For MSPs and IT service providers, these developments reinforce the need to clearly define who has the power to approve, pause, or override AI-driven systems and platform dependencies, as clients increasingly expect service providers to explain and manage outcomes they may not fully control. Four things to know today Apple's Creator Studio and Google Partnership Show a Strategy Built on Control, Not AI OwnershipAs Gemini Reasons Across Gmail, Search, and YouTube, Google Redefines AI Advantage Around Context            Pax8 Data Leak, Rapid Expansion, and Marketplace Growth Expose Risk Shift to MSPsAI Governance, Secure by Design, and GenAI Adoption Reveal a Growing Authority Gap for MSPs This is the Business of Tech.    Supported by:  https://scalepad.com/dave/

What does sovereignty actually mean? This week, Technology Now dives into the world behind the words, exploring the reality versus the fantasy of data and technological sovereignty. We ask how definitions can change across location, and why this is important to understand when trying to work across boarders. Sana Kharegani, Chief Strategy Officer at Carbon3.AI tells us more.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week, hosts Michael Bird and Sam Jarrell look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations.About Sana:https://www.linkedin.com/in/sana-khareghani-4346771/?originalSubdomain=ukSources:https://gdpr-info.eu/issues/fines-penalties/https://www.dataversity.net/articles/brief-history-cloud-computing/https://www.kiteworks.com/risk-compliance-glossary/data-sovereignty-protecting-our-digital-footprint-in-the-age-of-information/https://gdpr.eu/what-is-gdpr/

Have you ever felt overwhelmed by AI? Like…. There's certain aspects of Artificial intelligence that you barely understand to begin with, yet you're expected to use it AND it's changing every day? I understand where you're coming from. It's literally my only job to use, build with and teach AI every day and that's all I've done now for 3 years, and even I find it hard to keep up. But don't worry. That's where the ‘Start Here Series' comes into play. If one of your focuses is better understanding AI in 2026 or if you're an expert looking to double down, this Start Here Series is for you. In our first volume, we're going back to the basics. Generative AI: How it works and why it matters in 2026 more than ever -- An Everyday AI Chat. with Jordan Wilson.Other Start Here Series EpisodesEp 691: Generative AI: How it works and why it matters in 2026 more than ever (Start Here Series Vol 1)(In the future, we'll update with other 'Start Here Series' episodes)Start Here Series Community Sign up: Follow the Start Here Series with free access to our Inner Circle CommunityMore on this Episode: Episode PageJoin the discussion 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:Generative AI Basics and 2026 ImpactExplosive Growth of Large Language ModelsAI Adoption Rates in EnterprisesAI Agents and Operating Systems OverviewHistory and Evolution of Artificial IntelligenceTransformer Architecture and Model BreakthroughsHow Large Language Models WorkModern AI Capabilities: Multimodal ToolsQuantifying ROI for Generative AI InvestmentWorkforce Disruption and Future Job TrendsScaling AI: From Pilot to Enterprise-WideUrgency for AI Upskilling and Competitive AdvantageTimestamps:00:00 "Start Here: AI Guide Series"04:10 "Join Our Free Community"09:17 "AI Operating Systems for Businesses"11:05 "Partner with Everyday AI"13:00 "AI Evolution Over Decades"16:34 "ChatGPT's Transformative Impact"22:17 "Generative AI and Memory Evolution"26:03 "AI Delivers Exponential ROI"29:59 "AI Demand Surges, Hiring Drops"32:15 "AI Transforming CRMs Rapidly"35:01 "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 

In this season premiere of The Data Chief podcast, host Cindi Howson sits down with three industry leaders to unpack what's next for AI, and the concrete moves data and AI leaders need to make in 2026—many of which are detailed in ThoughtSpot's Top Data & AI Trends of 2026 ebook.Get ready for a deep dive into:Agentic AI goes mainstream with Paul Baier, CEO and Co-Founder of GAI InsightsAI-ready data and the rise of the AI manager with Jennifer Belissent, Principal Data Strategist at SnowflakeScaling agents with trust and control with Rory Blundell, CEO of GraviteeConsider this your field guide to navigating AI in 2026.Key Moments:Agentic AI Goes Mainstream with Paul Baier, GAI Insights (1:50): Paul Baier, CEO and Co-Founder of GAI Insights, explains why enterprises that already have GenAI in production are pulling decisively ahead, how agentic AI is reshaping enterprise operating models, and why leadership alignment and AI literacy will determine winners in 2026.AI-Ready Data and the Rise of the AI Manager, Jennifer Belissent, Snowflake (19:16): Dr. Jennifer Belissent, Principal Data Strategist at Snowflake, breaks down why data quality, transparency, and governance remain the foundation of AI success, and why the next critical enterprise skill is learning how to manage AI agents as part of the workforce.Scaling Agents with Trust and Control with Rory Blundell, Gravitee (35:11): Rory Blundell, CEO of Gravitee, shares how the agentic era is redefining API integration, why most enterprises are stuck at early AI maturity stages, and how agent management and security frameworks will unlock real action in 2026.Key Quotes:“Yo u have to treat AI as a capability and not an IT project.” - Paul Baier“ Transparency as a requirement is not slowing down adoption. It's actually accelerating it.” - Jennifer Belissent“My prediction is that companies that adopt robust security frameworks in 2026 will be the companies that accelerate fastest.” - Rory Blundell MentionsGAI Insights' Corporate Buyers Guide to Enterprise Intelligence ApplicationsHarvard Business Review: GAI Insights' WINS FrameworkGravitee's AI Readiness CurveThoughtSpot's Top Data & AI Trends of 2026 ebookGuest Bios Paul BaierMr. Baier is the CEO and principal analyst at GAI Insights. Mr Baier co-authored 4 articles about enterprise GenAI that were featured in Harvard Business Review and MIT Sloan Management Review. He was appointed an Executive Fellow at Harvard Business School and is a Forbes contributor. He is a seasoned software entrepreneur with two decades of experience and multiple exits. Related to AI, he was VP of Product at First Fuel Software, an enterprise AI company for 5 years. He holds an MBA from Harvard and a BA from Kenyon College.Jennifer BelissentAs Principal Data Strategist, Jennifer advises Snowflake customers on data and AI strategy and best practices in building world-class organizations. Previously, she spent over a decade as a Forrester Analyst, and has held management positions in tech sales and marketing, designed urban policy programs, taught secondary school math as a Peace Corps volunteer, and earned a Ph.D. in political science from Stanford University and a B.A. in econometrics from the University of Virginia.Rory BlundellRory Blundell is the CEO of Gravitee. He joined the company in March 2020, first as Chief Revenue Officer, before becoming CEO in September 2020. Prior to Gravitee, Blundell led SnapLogic's EMEA expansion from a technical sales perspective, overseeing significant growth in EMEA revenues over three years. Prior to SnapLogic, he was the CEO and founder of Velinko, a UK software and consultancy company for the legal and accounting sectors. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

To accelerate adoption and impact, teach AI skills through hands-on, coached, time-boxed builds that produce real demos, connect to workflows, and make learning visible and actionable. That's the key take-away message of this episode of the Wise Decision Maker Show, which talks about how you actually teach AI skills.This article forms the basis for this episode: https://disasteravoidanceexperts.com/how-do-you-actually-teach-ai-skills/

In this episode of the Phoenix Cast, hosts John and Kyle kick off 2026 with a jam-packed current events roundup covering the React to Shell vulnerability (think Log4Shell but for the front end), the Marine Corps' new drone training requirements, Google's TPU announcements that might have NVIDIA sweating, and the launch of GenAI.mil. They also share some exciting podcast milestones, dish out their 2026 predictions, and Kyle reveals his holiday vendetta against PowerPoint that resulted in building his own AI-powered presentation tool.We'd love to hear your thoughts! Tweet us at our new handle, @ThePhoenixCast, and don't forget to join our LinkedIn Group to connect with fellow Phoenix Casters. If you enjoyed the episode, help us out by leaving one of those coveted 5-star reviews on Apple Podcasts. Thanks for listening!LinksKyle's “The 8 Levels of AI Learning for Modern Commanders”https://www.linkedin.com/pulse/8-levels-ai-learning-modern-commanders-kyle-kmo-moschetto-mxuycReactShell:https://securityboulevard.com/2026/01/top-cves-of-december-2025/TorchTPU:https://hyperframeresearch.com/2025/12/24/can-googles-torchtpu-eventually-bridge-nvidias-cuda-moat/ WSJ: “Why AI Will Widen the Gap Between Superstars and Everybody Else”https://www.wsj.com/lifestyle/workplace/ai-workplace-tensions-what-to-do-c45f6b51?reflink=desktopwebshare_permalink USMC drone program:  https://www.marines.mil/News/Messages/Messages-Display/Article/4366306/approved-training-requirements-for-small-unmanned-aerial-systems/USMC AI WORKSHOP MARADMINhttps://www.marines.mil/News/Messages/Messages-Display/Article/4367572/united-states-marines-corps-generative-and-agentic-artificial-intelligence-work/II MEF Leadership AI:https://www.iimef.marines.mil/News/article-display/Article/4364616/ii-mef-advanced-ai-command-course/ Self-Paced AI Training (Military discount available)https://ftcg.io/self-paced-training Vibe Coding book (Gene Kim and Steve Yegge):https://itrevolution.com/product/vibe-coding-book/Gas Town:https://steve-yegge.medium.com/welcome-to-gas-town-4f25ee16dd04

There's hundreds of AI tools released every day. Most are garbage. But these AI tools and model updates were the BANGERS that defined the year. So what made our top list? Tune in and find out. Top AI Tools and Releases of 2025 -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion 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:Top AI Tools and Releases 2025 ListCriteria for AI Tool Selection 2025Honorable Mentions: AI Tools ExcludedCanva Visual Suite 2.0 Feature ReviewChatGPT Atlas Agentic Browser CapabilitiesChatGPT Deep Research Agent OverviewClaude Code Terminal Coding Agent ExplainedClaude Opus 4.5 Model BenchmarksCursor 2.0 Multi-Agent Code Editor UpdateDeepSeek v3 Open Source AI ModelsGenSpark Multi-Agent Workspace FeaturesGemini 3 Flash Model IntegrationGemini 3 Pro Multimodal Model ReviewGemini Canvas Mode Interactive WorkspaceGPT Image 1.5 Advanced GenerationGPT 5.2 Pro Expert Reasoning AbilitiesLovable AI Full Stack App BuilderManus Super Agent Workflow AutomationChatGPT Pulse Proactive AI Daily BriefingMicrosoft 365 Copilot Agent ModesNano Banana Pro Image Reasoning CapabilitiesNotebook LM Updates: Video & Slides FeaturesPerplexity Comet Agentic Browser AnalysisReplit Agent 3 Cloud App BuilderRunway Gen 4.5 Pro Video GenerationSora 2 OpenAI Video Model InnovationsSuno v5 AI Music Generator ImprovementsGoogle VO 3.1 Flagship Video Model ReviewS/A/B/C/D Tier Ranking of AI ToolsTool of the Year: Notebook LM StudioTimestamps:00:00 "Top AI Tools & Releases"10:16 "Atlas AI Tool Overview"15:21 "Claude Code's Growing Popularity"21:02 "DeepSeek v3: Open AI Model"24:36 "Gemini 3 Flash Dominates AI"30:10 "Canvas Mode & Code Rendering"36:11 "Lovable and Manus Overview"38:47 "Proactive AI and Personalization"46:25 "Perplexity and Comment Advantages"51:30 "Sora: Creative AI Character Tool"53:27 "Suno: AI Music Revolution"01:03:42 "Notebook LM: Tool of 2024"01:07:19 "Start Here: Everyday AI Basics"Keywords:Top AI tools of 2025, AI tools, AI releases, ChatGPT Atlas, ChatGPT Deep Research, Claude Code, 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 

Neo4j's Ajay Singh discusses future shifts in AI and why knowledge graphs may be the missing layer in your Gen AI strategy.Topics Include:Ajay Singh from Neo4j discusses graph intelligence platform serving 80+ Fortune 100 companies.Financial services firms use Neo4j knowledge graphs to detect fraud rings and accounts.IT companies build digital twins of infrastructure to analyze attack surfaces and vulnerabilities.Knowledge graphs provide richer context for Gen AI agents beyond what vector search offers.Gaming company achieved 10x faster insights and 92% reduction in analyst data gathering.Transportation company improved tariff code workflow from 50% abandonment to 95% completion rate.Neo4j has partnered with AWS since 2013, running on AWS infrastructure and Marketplace.Customers combine Neo4j with AWS Bedrock and SageMaker to build agentic AI applications.Neo4j evolved from late-stage AWS collaboration to early-stage joint customer solution development approach.Success requires business-first mindset over technology-first to avoid POCs that never reach production.Effective Gen AI needs semantic layers and knowledge graphs, not just throwing documents at LLMs.Future agents will tackle outcome-based objectives requiring explainability, security, and proper LLM operations.Participants:Ajay Singh – Global Vice President, Neo4jSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Why did ChatGPT go all in on health.... twice?

A New Year means new resolutions and for many of us that includes making a pledge to chip away at the ever-growing backlog. Are you going to tackle a new series? Revisit an old classic? Are some of last year's hits on sale for the right price? Or do you need something effervescent to pair with a white meat? Eric, Victor, and special guest John Carson discuss what drives them to check games of the list, and whether that's even something we should be beating ourselves up over. Subscribe for bonus episodes and discord access at https://www.patreon.com/bloodgodpod and celebrate our 10th Anniversary with new merch at https://shop.bloodgodpod.com Also in this episode: More comments on genAI at Larian Final Fantasy XI updates for 2026! Fire Emblem Path of Radiance on Nintendo Switch Online Magic the Gathering Update Note: Microsoft and the Xbox brand remain subjects of the BDS (Boycott, Divestment, Sanctions) movement for their complicity in the ongoing apartheid and genocide of Palestine. Visit https://www.bdsmovement.net/microsoft for more information. Timestamps: 12:04 - Main Topic - How To Handle One's Backlog 59:12 - Random Encounters 1:16:32 - The Tavern - Holiday Gaming Habits 1:30:26 - Magic the Gathering Nook Music Used in this Episode: Do Your Best - [Breath of Fire III] A Curious Tale - [Secret of Mana] Shinjuku - [Shin Megami Tensei NINE] Learn more about your ad choices. Visit megaphone.fm/adchoices

First Topic - Podcast Content Plans for 2026 Every year, I like to sit down and consider what the podcast should be focusing on. Not doing so ensures every single episode will be about AI and nobody wants that. Least of all, me. If I have one more all-AI episode, my head is going to explode. With that said, most of what we talk about in this segment is AI (picard face palm.png). I think 2026 will be THE defining year for GenAI. Three years after the release of ChatGPT, I think we've hit peak GenAI hype and folks are ready for it to put up or shut up. We'll see winners grow and get acquired and losers pivot to something else. More than anything, I want to interview folks who have actually seen it work at scale, rather than just in a cool demo in a vendor sandbox. Also on the agenda for this year: The battle against infostealers and session hijacking: we didn't have a good answer in 2025. When is it coming? Will it include Macs, despite them not having a traditional TPM? The state of trust in outsourcing and third party use (Cloud, MSSPs, SaaS, contractors): 2025 was not a good year for third parties. Lots of them got breached and caused their customers a lot of pain. Also, there's the state of balkanization between the US and... the rest of the entire world. Everyone outside the US seems to be trying to derisk their companies and systems from the Cloud Act right now. Vulnerability management market disruption: there are half a dozen startups already plotting to disrupt the market, likely to come out of stealth in 2026 Future of the SOC: if it's not AI, what is it? What else??? What am I missing? What would you like to see us discuss? Please drop me a line and let me know: adrian.sanabria@cyberriskalliance.com Topic 2: The state of cybersecurity hiring This topic has been in the works for a while! Ayman had a whole podcast and book focused on all the paths people take to get into security. Jackie worked with WiSys on outlining pathways into a cybersecurity career. Whether you're already in cyber or looking for a way in, this segment crams a lot of great advice into just 15-20 minutes. Segment resources: Ayman's personal guide for getting into security https://www.wicys.org/wp-content/uploads/2025/10/WiCyS-Pathways-in-Cyber-PDF-9.24.25.pdf News Finally, in the enterprise security news, Fundings and acquisitions still strong in 2026! Santa might be done delivering gifts, but not protecting Macs! ClickFix attacks Weaponized Raspberry Pis MongoDB incidents for Christmas Top 10 Cyber attacks of 2025 US gets tough on nation state hackers? Brute force attacks on Banks An AI Vending Machine All that and more, on this episode of Enterprise Security Weekly. Visit https://www.securityweekly.com/esw for all the latest episodes! Show Notes: https://securityweekly.com/esw-441

How do you turn messy, unstructured healthcare data into real-time intelligence that actually improves care? In this podcast hosted by Mphasis Vice President of Products Chenny Solaiyappan, Datycs CEO Dr. Srini Rao shares how his career spanning AI at IBM, global telecom infrastructure, and healthcare data engineering led him to tackle one of healthcare's hardest problems: making unstructured clinical data usable at scale. The conversation explores interoperability, NLP versus GenAI in regulated environments, and why real progress in value-based care depends on transforming clinical notes into actionable, standards-based data.

Moiz Kohari, VP of Enterprise AI and Data Intelligence at DDN, breaks down what it actually takes to get AI into production and keep it there. If your org is stuck in pilot mode, this conversation will help you spot the real blockers, from trust and hallucinations to data architecture and GPU bottlenecks.Key takeaways• GenAI success in the enterprise is less about the demo and more about trust, accuracy, and knowing when the system should say “I don't know.”• “Operationalizing” usually fails at the handoff, when humans stay permanently in the loop and the business never captures the full benefit.• Data architecture is the multiplier. If your data is siloed, slow, or hard to access safely, your AI roadmap stalls, no matter how good your models are.• GPU spend is only worth it if your pipelines can feed the GPUs fast enough. A lot of teams are IO bound, so utilization stays low and budgets get burned.• The real win is better decisions, faster. Moving from end of day batch thinking to intraday intelligence can change risk, margin, and response time in major ways.Timestamped highlights00:35 What DDN does, and why data velocity matters when GPUs are the pricey line item02:12 AI vs GenAI in the enterprise, and why “taking the human out” is where value shows up08:43 Hallucinations, trust, and why “always answering” creates real production risk12:00 What teams do with the speed gains, and why faster delivery shifts you toward harder problems12:58 From hours to minutes, how GPU acceleration changes intraday risk and decision making in finance20:16 Data architecture choices, POSIX vs object storage, and why your IO layer can make or break AI readinessA line worth stealing“Speed is great, but trust is the frontier. If your system can't admit what it doesn't know, production is where the project stops.”Pro tips you can apply this week• Pick one workflow where the output can be checked quickly, then design the path from pilot to production up front, including who approves what and how exceptions get handled.• Audit your bottleneck before you buy more compute. If your GPUs are waiting on data, fix storage, networking, and pipeline throughput first.• Build “confidence behavior” into the system. Decide when it should answer, when it should cite, and when it should escalate to a human.Call to actionIf you got value from this one, follow the show and turn on notifications so you do not miss the next episode.

First Topic - Podcast Content Plans for 2026 Every year, I like to sit down and consider what the podcast should be focusing on. Not doing so ensures every single episode will be about AI and nobody wants that. Least of all, me. If I have one more all-AI episode, my head is going to explode. With that said, most of what we talk about in this segment is AI (picard face palm.png). I think 2026 will be THE defining year for GenAI. Three years after the release of ChatGPT, I think we've hit peak GenAI hype and folks are ready for it to put up or shut up. We'll see winners grow and get acquired and losers pivot to something else. More than anything, I want to interview folks who have actually seen it work at scale, rather than just in a cool demo in a vendor sandbox. Also on the agenda for this year: The battle against infostealers and session hijacking: we didn't have a good answer in 2025. When is it coming? Will it include Macs, despite them not having a traditional TPM? The state of trust in outsourcing and third party use (Cloud, MSSPs, SaaS, contractors): 2025 was not a good year for third parties. Lots of them got breached and caused their customers a lot of pain. Also, there's the state of balkanization between the US and... the rest of the entire world. Everyone outside the US seems to be trying to derisk their companies and systems from the Cloud Act right now. Vulnerability management market disruption: there are half a dozen startups already plotting to disrupt the market, likely to come out of stealth in 2026 Future of the SOC: if it's not AI, what is it? What else??? What am I missing? What would you like to see us discuss? Please drop me a line and let me know: adrian.sanabria@cyberriskalliance.com Topic 2: The state of cybersecurity hiring This topic has been in the works for a while! Ayman had a whole podcast and book focused on all the paths people take to get into security. Jackie worked with WiSys on outlining pathways into a cybersecurity career. Whether you're already in cyber or looking for a way in, this segment crams a lot of great advice into just 15-20 minutes. Segment resources: Ayman's personal guide for getting into security https://www.wicys.org/wp-content/uploads/2025/10/WiCyS-Pathways-in-Cyber-PDF-9.24.25.pdf News Finally, in the enterprise security news, Fundings and acquisitions still strong in 2026! Santa might be done delivering gifts, but not protecting Macs! ClickFix attacks Weaponized Raspberry Pis MongoDB incidents for Christmas Top 10 Cyber attacks of 2025 US gets tough on nation state hackers? Brute force attacks on Banks An AI Vending Machine All that and more, on this episode of Enterprise Security Weekly. Visit https://www.securityweekly.com/esw for all the latest episodes! Show Notes: https://securityweekly.com/esw-441

First Topic - Podcast Content Plans for 2026 Every year, I like to sit down and consider what the podcast should be focusing on. Not doing so ensures every single episode will be about AI and nobody wants that. Least of all, me. If I have one more all-AI episode, my head is going to explode. With that said, most of what we talk about in this segment is AI (picard face palm.png). I think 2026 will be THE defining year for GenAI. Three years after the release of ChatGPT, I think we've hit peak GenAI hype and folks are ready for it to put up or shut up. We'll see winners grow and get acquired and losers pivot to something else. More than anything, I want to interview folks who have actually seen it work at scale, rather than just in a cool demo in a vendor sandbox. Also on the agenda for this year: The battle against infostealers and session hijacking: we didn't have a good answer in 2025. When is it coming? Will it include Macs, despite them not having a traditional TPM? The state of trust in outsourcing and third party use (Cloud, MSSPs, SaaS, contractors): 2025 was not a good year for third parties. Lots of them got breached and caused their customers a lot of pain. Also, there's the state of balkanization between the US and... the rest of the entire world. Everyone outside the US seems to be trying to derisk their companies and systems from the Cloud Act right now. Vulnerability management market disruption: there are half a dozen startups already plotting to disrupt the market, likely to come out of stealth in 2026 Future of the SOC: if it's not AI, what is it? What else??? What am I missing? What would you like to see us discuss? Please drop me a line and let me know: adrian.sanabria@cyberriskalliance.com Topic 2: The state of cybersecurity hiring This topic has been in the works for a while! Ayman had a whole podcast and book focused on all the paths people take to get into security. Jackie worked with WiSys on outlining pathways into a cybersecurity career. Whether you're already in cyber or looking for a way in, this segment crams a lot of great advice into just 15-20 minutes. Segment resources: Ayman's personal guide for getting into security https://www.wicys.org/wp-content/uploads/2025/10/WiCyS-Pathways-in-Cyber-PDF-9.24.25.pdf News Finally, in the enterprise security news, Fundings and acquisitions still strong in 2026! Santa might be done delivering gifts, but not protecting Macs! ClickFix attacks Weaponized Raspberry Pis MongoDB incidents for Christmas Top 10 Cyber attacks of 2025 US gets tough on nation state hackers? Brute force attacks on Banks An AI Vending Machine All that and more, on this episode of Enterprise Security Weekly. Show Notes: https://securityweekly.com/esw-441

Een scriptie schrijven met de hulp van ChatGPT: het is aan de orde van de dag op Nederlandse universiteiten. Redacteur Eva Klute vroeg zich af of opleidingen daar wel mee kunnen omgaan. Want, als je niet meer weet wie of wat een tekst geschreven heeft, wat is een diploma dan nog waard?Gast: Eva KlutePresentatie: Bram EndedijkRedactie: Ignace SchootMontage: Gal Tsadok-HaiEindredactie: Nina van HattumCoördinatie: Elze van DrielProductie: Rhea StroinkLees hier het artikel van Eva Klute, Milan de Bruijn en Jenne van der Wees.Heb je vragen, suggesties of ideeën over onze journalistiek? Mail dan naar onze redactie via podcast@nrc.nl.Zie het privacybeleid op https://art19.com/privacy en de privacyverklaring van Californië op https://art19.com/privacy#do-not-sell-my-info.

Generative AI has moved from curiosity to operational reality — reshaping how marketing teams research, create, review, and deliver content. But beyond the headlines and product demos, the real story is unfolding inside organizations adapting at different speeds and in different ways. In this episode of the Brand Intelligence Podcast, we gather perspectives from marketing, brand, creative, and strategy leaders who are putting AI into practice. The conversation spans industries and disciplines, offering a candid look at how AI is influencing work today — and what still firmly belongs in human hands. Guests share: Where AI is delivering immediate value, from research and summarization to asset development and compliance-ready creative How teams are using AI to reclaim time and focus on work that requires nuance, empathy, and strategy New creative applications, including synthetic video, demographic adjustments, and rapid visual production Governance and ethical considerations, especially for regulated industries The tension between efficiency and authenticity — and how leaders are navigating it Why strategy, storytelling, and empathy remain uniquely human skills, even as AI accelerates execution The result is a grounded, pragmatic view of AI's impact across modern marketing: what's working, what's emerging, and what still requires human intuition and craft. Whether you're leading an AI initiative or simply trying to keep up with the pace of change, this episode provides a thoughtful, real-world look at where marketing innovation is headed next.

This week's podcast is a summary of my GenAI playbook. It is the summary of 12 articles.You can listen to this podcast here, which has the slides and graphics mentioned. Also available at iTunes and Google Podcasts.Here is the link to the TechMoat Consulting.Here is the link to our Tech Tours.The mentioned graphics are here.That's it for the GenAI playbook.Cheers, Jeff -------I am a consultant and keynote speaker on how to increase digital growth and strengthen digital AI moats.I am the founder of TechMoat Consulting, a consulting firm specialized in how to increase digital growth and strengthen digital AI moats. Get in touch here.I write about digital growth and digital AI strategy. With 3 best selling books and +2.9M followers on LinkedIn. You can read my writing at the free email below.Or read my Moats and Marathons book series, a framework for building and measuring competitive advantages in digital businesses.This content (articles, podcasts, website info) is not investment, legal or tax advice. The information and opinions from me and any guests may be incorrect. The numbers and information may be wrong. The views expressed may no longer be relevant or accurate. This is not investment advice. Investing is risky. Do your own research.Support the show

Ban AI?

Our analysts (or “bakers”) compete in a Great British Bake Off–style episode, discussing why Google may overtake OpenAI in 2026 and how the AI boom could get a reality check this year. Join Senior Director of Podcasts and host Marcus Johnson, along with Principal Analyst Nate Elliot and Analyst Jacob Bourne. Listen everywhere, and watch on YouTube and Spotify.   The reports mentioned:  Tech Trends to Watch in 2026 AI Trends to Watch in 2026   Get more insights like these with our free, industry-leading newsletters covering advertising, marketing, and commerce. Sign up at emarketer.com/newsletters Follow us on Instagram at: https://www.instagram.com/emarketer/ For sponsorship opportunities contact us: advertising@emarketer.com For more information visit: https://www.emarketer.com/advertise/ Have questions or just want to say hi? Drop us a line at podcast@emarketer.com For a transcript of this episode click here: https://www.emarketer.com/content/podcast-great-btn-bake-take-off-genai-trends-2026-google-overtakes-openai-behind-numbers © 2026 EMARKETER

This week in the business of podcasting: Remembering what makes podcasts great, GenAI's indie podcast blindspot, Spotify updated requirements for the Partner Program, why podcasting is a must-have for sports rights holders and brands, and a look at PodcastAdBlock.Find links to every article covered by heading to the Download section of SoundsProfitable.com, or by clicking here to go directly to today's installment. 

Ok, Ok - guys! We heard you all fan-girling out over Shaun Jackson's panel participation at the Asset Protection Executive Xchange (APEX) conference.....and we got him on the podcast! (you're welcome) In this episode, TalkLP Podcast Host Amber Bradley chats with Shaun Jackson, Executive Director of Risk Management for Panda Restaurant Group about artificial intelligence (AI) and how to use it for simple and complex tasks. YOU (yes, you) can get started using AI today by thinking about the examples and strategies that Shaun expertly articulates in this podcast! Take a listen (and a deep breath) - you can do it! This podcast episode is sponsored by a company that also prides itself on REAL talk about how AI solutions can benefit your entire organization AND it's actually affordable because it's not hardware-heavy. Need help with self-checkout? They've got that. Out-of-stocks? They've got it. Questions about real AI that is proven to work? Ask SAI. Find out more by visiting them at NRF's BIG Show booth 6668 or contact them here. SAI Group (Store-wide Active Intelligence) is a computer vision and GenAI company that provides comprehensive retail intelligence solutions. Founded in 2018, we partner with retailers to use AI technology for loss prevention, store safety, operational efficiency, and customer insights all from existing camera infrastructure. We do this using patent granted algorithms developed by us over years using real Retail data from global Retailers

Today's episode of the Punk CX podcast is with Chris Morrissey, who is the General Manager and Global Head of CX Sales & Go-To-Market at Zoom, where he drives strategy and execution for the company's customer experience business. Chris joins me today to talk about why describing yourself as ‘AI-first' these days is a mistake, why reducing effort outweighs everything else in CX, the difference between "lip service personalization" and true personalization and how we should be moving beyond chatbots and what the future of customer interaction really looks like. We finish off with Chris's best advice, his Punk CX brand and his very own good news story. This interview follows on from my recent interview – Brands should avoid making Gen AI or chatbots their sole frontline – Interview with Phil Regnault of PwC – and is number 568 in the series of interviews with authors and business leaders who are doing great things, providing valuable insights, helping businesses innovate and delivering great service and experience to both their customers and their employees.

Why wasn't 2025 the year of the agents?

Hate to say it: you're not using ChatGPT right.

You still using AI to..... write emails?

Meta just made a multi-billion acquisition for AI agents.