Podcasts about agentic

On this episode of the Scouting For Growth podcast, Sabine VdL talks to Marinela Profi, Global Market Strategy Lead for AI, GenAI and Agentic AI at SAS, about the rise of agentic AI and how we will move from hype to real, reliable AI. In today's episode, we'll discuss: Why LLMs alone don't solve business problems – and what does, how governance is becoming the new frontier of AI trust, and what leaders should expect by 2026, as enterprises shift from experiments to autonomous, explainable intelligence. KEY TAKEAWAYS A generative AI chatbot is really good and answering questions, generating text, or summarising content. But, it typically stops when it comes to conversation. On the other hand, an AI agent goes beyond that, it can take action, it has goals, memory, reasoning capabilities and can orchestrate multi-set workflows using a combination of not just large-language models but also rules, data and analytics. Generative AI talks, and agentic AI does. The 5-step lifecycle of an agent is a framework I put together to help me and my customers understand what an agent actually does step-by-step in practice. 1. Perception 2. Cognition 3. Decisioning 4. Action, and 5. Learning. Governance boards in 2026 will act more like digital oversight committees, they will ensure that agents aren't just smart, but they are safe, explainable and accountable.  BEST MOMENTS  ‘Post action the agent learns from feedback from a human operative. It's important to monitor the learning loops, you cannot allow the agent to “self-update” in ways that are uncontrolled.'  ‘How autonomous should an agent be? 90% of the time it depends on the risk and impact of the task.' ‘Autonomy without accountability is a risk multiplier.' ‘Governance doesn't stop at deployment, performance must be continuously monitored.' ABOUT THE GUEST Marinela Profi helps organizations move from AI hype to trusted impact. As Global Market Strategy Lead for AI, GenAI and Agentic AI at SAS, she works with enterprises in financial services, healthcare, and government to build AI systems that don't just act fast—but act responsibly. With an MBA and a Master's in Statistics and AI, Marinela bridges two worlds: translating complex data science into clear business strategy. Her work focuses on how agentic AI—intelligent systems that perceive, reason, and act autonomously—can deliver governed, explainable decisions instead of black-box predictions. A frequent keynote speaker at international AI and analytics events, she shares insights on the evolution from generative to agentic AI and the new frontier of AI governance, trust, and human-AI collaboration. Marinela is also an Advisory Board Member for Wake Technical Community College's Data Science Program, helping shape future-ready curricula that connect classroom learning with real-world AI innovation. ABOUT THE HOST Sabine is a corporate strategist turned entrepreneur. She is the CEO and Managing Partner of Alchemy Crew a venture lab that accelerates the curation, validation, & commercialization of new tech business models. Sabine is renowned within the insurance sector for building some of the most renowned tech startup accelerators around the world working with over 30 corporate insurers, accelerated over 100 startup ventures. Sabine is the co-editor of the bestseller The INSURTECH Book, a top 50 Women in Tech, a FinTech and InsurTech Influencer, an investor & multi-award winner. Twitter LinkedIn Instagram Facebook  TikTok Email Website This Podcast has been brought to you by Disruptive Media. https://disruptivemedia.co.uk/

In this partnership episode between Hanselminutes and the ACM Bytecast, Scott talks with Dr. Dawn Song, MacArthur Fellow and leading researcher in computer security and AI and co-director at the Berkeley Center for Responsible Decentralized Intelligence about how privacy-preserving computation, fairness, and accountability can help us design intelligent systems we can actually trust.https://agenticai-learning.org

Today's guest is Robert Wenier, Global Head of Cloud and Infrastructure at AstraZeneca. Robert leads enterprise cloud, infrastructure, and platform strategy across a highly regulated, data-intensive global organization. Robert joins Emerj CEO and Head of Research Daniel Faggella to discuss how enterprise data and AI architectures are shifting from service-oriented and microservice models toward emerging agentic architectures that prioritize end-to-end business outcomes over stepwise technical execution. The conversation explores why AI is moving from a supporting role to a direct driver of competitive advantage, and how this changes expectations for infrastructure, data strategy, and leadership ownership. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show! Watch Daniel and Robert's conversation on our new YouTube Channel: youtube.com/@EmerjAIResearch.

This week's podcast is about the likely impact of agents on ecommerce. And specifically on tourism.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.Here is the mentioned McKinsey report.----------I am a consultant and keynote speaker on how to accelerate growth with improving customer experiences (CX) and digital moats.I am a partner at TechMoat Consulting, a consulting firm specialized in how to increase growth with improved customer experiences (CX), personalization and other types of customer value. Get in touch here.I am also author of the 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

We were inundated with new Windows features in 2025, but which ones actually moved the needle? Fortnite isn't just back on iPhone and Android, it's available on Windows 11 on Arm, and it works great! Plus, 2 big mobile wins for Epic Games and some thoughts on the "right" way to roll out AI features.Windows 11 Best Windows 11 updates of 2025, in no particular order... Dark mode improvements to File Explorer Widgets major overhaul with separate widgets and Discovery feed Xbox Full Screen experience - especially good on handhelds, of course, but also any PC you use for gaming with a controller Click to Do (Copilot+ PC only) External fingerprint reader support for Windows Hello ESS -External/USB webcams supported by Windows Studio Effects (Copilot+ PC only) Quick Machine Recovery is the tip of a wave of new foundational features like Admin Protection, Smart App Control (updates), and more that go beyond surface-level look and feel Redesigned Start menu isn't perfect but it's a nice improvement Copilot Vision, though this type of thing may make more sense on phones AI features in Paint, Photos, Notepad, and Snipping Tool Natural language interactions like the agent in Settings, file search, and more (mostly Copilot+ PC only, but you can do this in Copilot as well) Bluetooth LE support for improved audio quality in game chat, voice calls Gaming on Windows 11 on Arm and Snapdragon X: Major steps forward, but the same issue as always Looking ahead to 2026: 26H1, Agentic features that work, potential Windows 12, and AI PCs AI An extensive new interview with Mustafa Suleyman confirms why this guy is special and how confusing it is that Copilot is so disrespected Microsoft Copilot is auto-installing on LG smart TVs and there's no way to remove it GPT-5.2 is OpenAI's answer to Gemini 3 ChatGPT Images is OpenAI's answer to Nano Banana Pro Disney invests $1 billion OpenAI, sues Google Opera Neon is now generally available for $20 per month AI is moving quick as we all know but the bigger issue may be the incessant marketing about features like agents that don't even work now Microsoft is getting pushback on forced Copilot usage, price hikes Google is expanding its use of "experiments" outside of mainstream products with things like NotebookLM, Mixboard, CC, and much more. Maybe this is the better approach: Test separately and then integrate it into existing products Oddly enough, Microsoft does have a Windows AI Lab for this kind of experimentation Many small models vs. one big LLM in the cloud Mobile Fortnite is back in the Google Play Store in the U.S. as Google plays nice Apple loses its contempt appeal, the end of "junk fees" (Apple Tax) is in sight Xbox and gaming Xbox December Update has one big update for the mobile app and one big update for Xbox Wireless Headphones There's a new Xbox Developer Direct coming in January Half-Life 3 may really be happening, but it will be a Steam Machine launch title so it could be a while Tips & picks Tip of the year: De-enshittify Windows 11 App pick of the year: Fortnite RunAs Radio this week: Zero Trust in 2026 with Michele Bustamante Brown liquor pick of the week: Lark Symphony No. 1 These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/963 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: auraframes.com/ink framer.com/design promo code WW outsystems.com/twit cachefly.com/twit

Today, we're joined by Aakanksha Chowdhery, member of technical staff at Reflection, to explore the fundamental shifts required to build true agentic AI. While the industry has largely focused on post-training techniques to improve reasoning, Aakanksha draws on her experience leading pre-training efforts for Google's PaLM and early Gemini models to argue that pre-training itself must be rethought to move beyond static benchmarks. We explore the limitations of next-token prediction for multi-step workflows and examine how attention mechanisms, loss objectives, and training data must evolve to support long-form reasoning and planning. Aakanksha shares insights on the difference between context retrieval and actual reasoning, the importance of "trajectory" training data, and why scaling remains essential for discovering emergent agentic capabilities like error recovery and dynamic tool learning. The complete show notes for this episode can be found at https://twimlai.com/go/759.

We were inundated with new Windows features in 2025, but which ones actually moved the needle? Fortnite isn't just back on iPhone and Android, it's available on Windows 11 on Arm, and it works great! Plus, 2 big mobile wins for Epic Games and some thoughts on the "right" way to roll out AI features.Windows 11 Best Windows 11 updates of 2025, in no particular order... Dark mode improvements to File Explorer Widgets major overhaul with separate widgets and Discovery feed Xbox Full Screen experience - especially good on handhelds, of course, but also any PC you use for gaming with a controller Click to Do (Copilot+ PC only) External fingerprint reader support for Windows Hello ESS -External/USB webcams supported by Windows Studio Effects (Copilot+ PC only) Quick Machine Recovery is the tip of a wave of new foundational features like Admin Protection, Smart App Control (updates), and more that go beyond surface-level look and feel Redesigned Start menu isn't perfect but it's a nice improvement Copilot Vision, though this type of thing may make more sense on phones AI features in Paint, Photos, Notepad, and Snipping Tool Natural language interactions like the agent in Settings, file search, and more (mostly Copilot+ PC only, but you can do this in Copilot as well) Bluetooth LE support for improved audio quality in game chat, voice calls Gaming on Windows 11 on Arm and Snapdragon X: Major steps forward, but the same issue as always Looking ahead to 2026: 26H1, Agentic features that work, potential Windows 12, and AI PCs AI An extensive new interview with Mustafa Suleyman confirms why this guy is special and how confusing it is that Copilot is so disrespected Microsoft Copilot is auto-installing on LG smart TVs and there's no way to remove it GPT-5.2 is OpenAI's answer to Gemini 3 ChatGPT Images is OpenAI's answer to Nano Banana Pro Disney invests $1 billion OpenAI, sues Google Opera Neon is now generally available for $20 per month AI is moving quick as we all know but the bigger issue may be the incessant marketing about features like agents that don't even work now Microsoft is getting pushback on forced Copilot usage, price hikes Google is expanding its use of "experiments" outside of mainstream products with things like NotebookLM, Mixboard, CC, and much more. Maybe this is the better approach: Test separately and then integrate it into existing products Oddly enough, Microsoft does have a Windows AI Lab for this kind of experimentation Many small models vs. one big LLM in the cloud Mobile Fortnite is back in the Google Play Store in the U.S. as Google plays nice Apple loses its contempt appeal, the end of "junk fees" (Apple Tax) is in sight Xbox and gaming Xbox December Update has one big update for the mobile app and one big update for Xbox Wireless Headphones There's a new Xbox Developer Direct coming in January Half-Life 3 may really be happening, but it will be a Steam Machine launch title so it could be a while Tips & picks Tip of the year: De-enshittify Windows 11 App pick of the year: Fortnite RunAs Radio this week: Zero Trust in 2026 with Michele Bustamante Brown liquor pick of the week: Lark Symphony No. 1 These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/963 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: auraframes.com/ink framer.com/design promo code WW outsystems.com/twit cachefly.com/twit

This podcast is brought to you by Outcomes Rocket, your exclusive healthcare marketing agency. Learn how to accelerate your growth by going to⁠ outcomesrocket.com What happens when AI meets real-world healthcare challenges? In this episode, Kali Ihde, Director of Northwestern Medicine's Ventures and Innovation, discusses how AI is being practically applied to enhance patient care and operational efficiency. She explains the importance of moving past hype, piloting AI solutions safely, and integrating them into workflows with input from clinicians and administrators. Kali highlights the growing AI literacy among healthcare professionals and shares how agentic AI is helping healthcare providers reach patients for preventive care while identifying risks such as elder abuse or suicidal ideation. She also emphasizes the need for structured evaluation and clear metrics to ensure that results are meaningful. Tune in to hear how Northwestern Medicine is leveraging AI to make a real difference in hospitals, clinics, and communities! Resources Connect with and follow Kali Ihde on LinkedIn. Follow Northwestern Medicine on LinkedIn and discover their website!

We were inundated with new Windows features in 2025, but which ones actually moved the needle? Fortnite isn't just back on iPhone and Android, it's available on Windows 11 on Arm, and it works great! Plus, 2 big mobile wins for Epic Games and some thoughts on the "right" way to roll out AI features.Windows 11 Best Windows 11 updates of 2025, in no particular order... Dark mode improvements to File Explorer Widgets major overhaul with separate widgets and Discovery feed Xbox Full Screen experience - especially good on handhelds, of course, but also any PC you use for gaming with a controller Click to Do (Copilot+ PC only) External fingerprint reader support for Windows Hello ESS -External/USB webcams supported by Windows Studio Effects (Copilot+ PC only) Quick Machine Recovery is the tip of a wave of new foundational features like Admin Protection, Smart App Control (updates), and more that go beyond surface-level look and feel Redesigned Start menu isn't perfect but it's a nice improvement Copilot Vision, though this type of thing may make more sense on phones AI features in Paint, Photos, Notepad, and Snipping Tool Natural language interactions like the agent in Settings, file search, and more (mostly Copilot+ PC only, but you can do this in Copilot as well) Bluetooth LE support for improved audio quality in game chat, voice calls Gaming on Windows 11 on Arm and Snapdragon X: Major steps forward, but the same issue as always Looking ahead to 2026: 26H1, Agentic features that work, potential Windows 12, and AI PCs AI An extensive new interview with Mustafa Suleyman confirms why this guy is special and how confusing it is that Copilot is so disrespected Microsoft Copilot is auto-installing on LG smart TVs and there's no way to remove it GPT-5.2 is OpenAI's answer to Gemini 3 ChatGPT Images is OpenAI's answer to Nano Banana Pro Disney invests $1 billion OpenAI, sues Google Opera Neon is now generally available for $20 per month AI is moving quick as we all know but the bigger issue may be the incessant marketing about features like agents that don't even work now Microsoft is getting pushback on forced Copilot usage, price hikes Google is expanding its use of "experiments" outside of mainstream products with things like NotebookLM, Mixboard, CC, and much more. Maybe this is the better approach: Test separately and then integrate it into existing products Oddly enough, Microsoft does have a Windows AI Lab for this kind of experimentation Many small models vs. one big LLM in the cloud Mobile Fortnite is back in the Google Play Store in the U.S. as Google plays nice Apple loses its contempt appeal, the end of "junk fees" (Apple Tax) is in sight Xbox and gaming Xbox December Update has one big update for the mobile app and one big update for Xbox Wireless Headphones There's a new Xbox Developer Direct coming in January Half-Life 3 may really be happening, but it will be a Steam Machine launch title so it could be a while Tips & picks Tip of the year: De-enshittify Windows 11 App pick of the year: Fortnite RunAs Radio this week: Zero Trust in 2026 with Michele Bustamante Brown liquor pick of the week: Lark Symphony No. 1 These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/963 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: auraframes.com/ink framer.com/design promo code WW outsystems.com/twit cachefly.com/twit

In this 5 Insightful Minutes episode, David Dorf, Head of Retail Industry Solutions at AWS, joins Omni Talk to cut through the AI hype and reveal what's actually coming for retail in 2026. From LLM limitations to agentic commerce reality checks, David breaks down why domain-specific models are replacing frontier model fantasies, how answer engines will reshape search, and why shopping agents will start with your grocery delivery. If you've ever wondered what AI predictions are worth believing, this episode delivers the clarity you need.

In this special episode of Builders Wanted, recorded live from Twilio Transform in New York City, we're joined by Rikki Singh, Twilio's VP of R&D for Emerging Technologies. Rikki explores groundbreaking advancements in AI, security, and communications, touching on the evolution of technology and customer expectations as we approach 2026. The conversation delves into the role of AI in software engineering, the importance of trust and privacy by design, changes in customer engagement, and the future of agentic workflows.-------------------Key Takeaways:Building robust systems and prioritizing speed empowers organizations to drive innovation rapidly while maintaining high standards of quality.Reliable, well-structured data and clearly defined, measurable objectives are critical for achieving success in AI and analytics initiatives.The most impactful product enhancements stem from actively listening to customers, understanding their challenges, and reimagining features as needed.-------------------“ The fact that we want to give you contextual memory that is able to capture communication, that matters. Because that's where you're expressing your satisfaction, your happiness, your joys. So how do we take that and then use that to help you rather than microsegment you on demographics and target you? I think that's the positive pivot I hope we make as this technology allows for that.” – Rikki Singh-------------------Episode Timestamps:‍*(01:48) - What excites Rikki heading into 2026‍*(02:54) - What feels different about today compared to a year ago‍*(07:14) - Themes shaping the next 12 months for builders‍*(19:43) - What's evolving fastest: the tech stack, the buyer, or the org chart?‍*(27:50) - What builders underestimate about AI and where it's going‍*(43:36) - Quick hits-------------------Links:Connect with Rikki on LinkedInConnect with Kailey on LinkedInLearn more about Caspian Studios-------------------SponsorBuilders Wanted is brought to you by Twilio – the Customer Engagement Platform that helps builders turn real-time data into meaningful customer experiences. More than 320,000 businesses trust Twilio to transform signals into connections—and connections into revenue. Ready to build what's next? Learn more at twilio.com. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

We were inundated with new Windows features in 2025, but which ones actually moved the needle? Fortnite isn't just back on iPhone and Android, it's available on Windows 11 on Arm, and it works great! Plus, 2 big mobile wins for Epic Games and some thoughts on the "right" way to roll out AI features.Windows 11 Best Windows 11 updates of 2025, in no particular order... Dark mode improvements to File Explorer Widgets major overhaul with separate widgets and Discovery feed Xbox Full Screen experience - especially good on handhelds, of course, but also any PC you use for gaming with a controller Click to Do (Copilot+ PC only) External fingerprint reader support for Windows Hello ESS -External/USB webcams supported by Windows Studio Effects (Copilot+ PC only) Quick Machine Recovery is the tip of a wave of new foundational features like Admin Protection, Smart App Control (updates), and more that go beyond surface-level look and feel Redesigned Start menu isn't perfect but it's a nice improvement Copilot Vision, though this type of thing may make more sense on phones AI features in Paint, Photos, Notepad, and Snipping Tool Natural language interactions like the agent in Settings, file search, and more (mostly Copilot+ PC only, but you can do this in Copilot as well) Bluetooth LE support for improved audio quality in game chat, voice calls Gaming on Windows 11 on Arm and Snapdragon X: Major steps forward, but the same issue as always Looking ahead to 2026: 26H1, Agentic features that work, potential Windows 12, and AI PCs AI An extensive new interview with Mustafa Suleyman confirms why this guy is special and how confusing it is that Copilot is so disrespected Microsoft Copilot is auto-installing on LG smart TVs and there's no way to remove it GPT-5.2 is OpenAI's answer to Gemini 3 ChatGPT Images is OpenAI's answer to Nano Banana Pro Disney invests $1 billion OpenAI, sues Google Opera Neon is now generally available for $20 per month AI is moving quick as we all know but the bigger issue may be the incessant marketing about features like agents that don't even work now Microsoft is getting pushback on forced Copilot usage, price hikes Google is expanding its use of "experiments" outside of mainstream products with things like NotebookLM, Mixboard, CC, and much more. Maybe this is the better approach: Test separately and then integrate it into existing products Oddly enough, Microsoft does have a Windows AI Lab for this kind of experimentation Many small models vs. one big LLM in the cloud Mobile Fortnite is back in the Google Play Store in the U.S. as Google plays nice Apple loses its contempt appeal, the end of "junk fees" (Apple Tax) is in sight Xbox and gaming Xbox December Update has one big update for the mobile app and one big update for Xbox Wireless Headphones There's a new Xbox Developer Direct coming in January Half-Life 3 may really be happening, but it will be a Steam Machine launch title so it could be a while Tips & picks Tip of the year: De-enshittify Windows 11 App pick of the year: Fortnite RunAs Radio this week: Zero Trust in 2026 with Michele Bustamante Brown liquor pick of the week: Lark Symphony No. 1 These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/963 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: auraframes.com/ink framer.com/design promo code WW outsystems.com/twit cachefly.com/twit

In dieser Episode dreht sich alles um das Thema Künstliche Intelligenz in der Versicherungsbranche – und wir bringen Licht ins Dunkel zwischen Hype und echter Praxis. Unser Co-Host Alex Bernert spricht mit den Experten von msg: Andrea van Aubel, Vorstand und KI-Pionierin mit über 30 Jahren Branchenerfahrung, sowie Axel Helmert, Mr. AI für die Lebensversicherungswelt und Head of Research and Development. Gemeinsam gehen sie der Frage nach: Was funktioniert mit KI in Versicherungen tatsächlich schon heute? Wo liegen die Herausforderungen und Stolperfallen? Und wie verändern Agentic AI und Reasoning-Modelle die Geschäftsprozesse von Leben über Kranken bis hin zu Schaden und Unfall?Von konkreten Beispielen aus dem Schadenmanagement bis hin zu Visionen für die Produktentwicklung – die Folge bietet ehrliche Einblicke, Expertenwissen und einen spannenden Ausblick auf die nächsten Jahre. Freut euch auf praxisnahe Use Cases, aufschlussreiche Diskussionen über Governance und Compliance sowie die berühmte Kristallkugel am Ende: Was wird KI wirklich im Versicherungsgeschäft verändern? Viel Spaß beim Zuhören!Schreibt uns gerne eine Nachricht!Dieser Podcast wird von msg unterstützt. Die msg Gruppe ist führender Anbieter im Versicherungsmarkt für moderne Systemlösungen. Von Automation- über KI- und SAP- bis hin zu modernen Kommunikations- und Vertriebslösungen. Die msg bündelt moderne Technologien mit tiefem Branchen Know-How. Folge uns auf unserer LinkedIn Unternehmensseite für weitere spannende Updates.Unsere Website: https://www.insurancemondaypodcast.de/Du möchtest Gast beim Insurance Monday Podcast sein? Schreibe uns unter info@insurancemondaypodcast.de und wir melden uns umgehend bei Dir.Dieser Podcast wird von dean productions produziert.Vielen Dank, dass Du unseren Podcast hörst!

In this episode of Future Shop, Wendy Liebmann sits down with retail veteran Andy Murray to dissect the conflicting forces impacting the modern shopper. From the bifurcated "K-shaped" economy to the rise of "vibe shopping" among Gen Z, Andy shares insights from his time at Walmart,  ASDA, and P&G, and his current work with the University of Arkansas. Together, they explore a critical paradox: as technology like Agentic AI advances, the human need for physical touch and sensory retail experiences is growing stronger.Key Highlights:The Muddy Middle: How the economy has split shoppers into value-seekers and luxury buyers, leaving a complex "middle" that is harder to define.Gen Z & Transparency: Why younger shoppers are using apps like Yuka to demand total ingredient transparency and how they are leading the charge back to physical stores.The KPI Problem: Why traditional channel-based metrics are stifling innovation and why retailers must shift to a total customer view.AI vs. Humanity: The danger of using AI solely for efficiency and the urgent need to develop "humanist" skills to coexist with Agentic AI. Send us a textVisit our website for transcripts, links mentioned on this episodes, and video podcasts. Subscribe and rate us with your favorite podcast app!

We were inundated with new Windows features in 2025, but which ones actually moved the needle? Fortnite isn't just back on iPhone and Android, it's available on Windows 11 on Arm, and it works great! Plus, 2 big mobile wins for Epic Games and some thoughts on the "right" way to roll out AI features.Windows 11 Best Windows 11 updates of 2025, in no particular order... Dark mode improvements to File Explorer Widgets major overhaul with separate widgets and Discovery feed Xbox Full Screen experience - especially good on handhelds, of course, but also any PC you use for gaming with a controller Click to Do (Copilot+ PC only) External fingerprint reader support for Windows Hello ESS -External/USB webcams supported by Windows Studio Effects (Copilot+ PC only) Quick Machine Recovery is the tip of a wave of new foundational features like Admin Protection, Smart App Control (updates), and more that go beyond surface-level look and feel Redesigned Start menu isn't perfect but it's a nice improvement Copilot Vision, though this type of thing may make more sense on phones AI features in Paint, Photos, Notepad, and Snipping Tool Natural language interactions like the agent in Settings, file search, and more (mostly Copilot+ PC only, but you can do this in Copilot as well) Bluetooth LE support for improved audio quality in game chat, voice calls Gaming on Windows 11 on Arm and Snapdragon X: Major steps forward, but the same issue as always Looking ahead to 2026: 26H1, Agentic features that work, potential Windows 12, and AI PCs AI An extensive new interview with Mustafa Suleyman confirms why this guy is special and how confusing it is that Copilot is so disrespected Microsoft Copilot is auto-installing on LG smart TVs and there's no way to remove it GPT-5.2 is OpenAI's answer to Gemini 3 ChatGPT Images is OpenAI's answer to Nano Banana Pro Disney invests $1 billion OpenAI, sues Google Opera Neon is now generally available for $20 per month AI is moving quick as we all know but the bigger issue may be the incessant marketing about features like agents that don't even work now Microsoft is getting pushback on forced Copilot usage, price hikes Google is expanding its use of "experiments" outside of mainstream products with things like NotebookLM, Mixboard, CC, and much more. Maybe this is the better approach: Test separately and then integrate it into existing products Oddly enough, Microsoft does have a Windows AI Lab for this kind of experimentation Many small models vs. one big LLM in the cloud Mobile Fortnite is back in the Google Play Store in the U.S. as Google plays nice Apple loses its contempt appeal, the end of "junk fees" (Apple Tax) is in sight Xbox and gaming Xbox December Update has one big update for the mobile app and one big update for Xbox Wireless Headphones There's a new Xbox Developer Direct coming in January Half-Life 3 may really be happening, but it will be a Steam Machine launch title so it could be a while Tips & picks Tip of the year: De-enshittify Windows 11 App pick of the year: Fortnite RunAs Radio this week: Zero Trust in 2026 with Michele Bustamante Brown liquor pick of the week: Lark Symphony No. 1 These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/963 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: auraframes.com/ink framer.com/design promo code WW outsystems.com/twit cachefly.com/twit

Get access to metatrends 10+ years before anyone else - https://qr.diamandis.com/metatrends   Mustafa Sulyman is the CEO of Microsoft AI Dave Blundin is the founder & GP of Link Ventures Dr. Alexander Wissner-Gross is a computer scientist and founder of Reified – My companies: Apply to Dave's and my new fund:https://qr.diamandis.com/linkventureslanding      Go to Blitzy to book a free demo and start building today: https://qr.diamandis.com/blitzy   Grab dinner with MOONSHOT listeners: https://moonshots.dnnr.io/ _ Connect with Peter: X Instagram Connect with Dave: X LinkedIn Connect with Alex Website LinkedIn X Email Connect with Mustafa X Linkedin Listen to MOONSHOTS: Apple YouTube – *Recorded on December 5th, 2025 *The views expressed by me and all guests are personal opinions and do not constitute Financial, Medical, or Legal advice. Learn more about your ad choices. Visit megaphone.fm/adchoices

The State of Presales and Demo Technologies, and What's Coming in 2026 In this episode, Jack Cochran and Matthew James are joined by Justin McDonald, Co-founder and CEO of Saleo, to discuss how demo automation technology is transforming the presales landscape. They explore the evolution of presales over the past 20 years, the hidden costs of demo preparation (the "demo tax"), and how AI is revolutionizing how solutions engineers create and personalize demonstrations. Justin shares insights on building relational capital, the importance of in-person meetings, and why the future of presales lies in leveraging technology to spend more quality time with buyers. Thank you to Saleo for sponsoring this episode! Visit Saleo.io to learn more. Follow Us Connect with Jack Cochran: https://www.linkedin.com/in/jackcochran/ Connect with Matthew James: https://www.linkedin.com/in/matthewyoungjames/ Connect with Justin McDonald: https://www.linkedin.com/in/justin-mcdonald-21a3aa6/  Links and Resources Mentioned Join Presales Collective Slack: https://www.presalescollective.com/slack Saleo: https://saleo.io/ Mockaroo (dummy data generator): https://mockaroo.com/ Timestamps 00:00 Welcome 04:24 How has presales evolved over 20 years 09:20 Demo tax 13:37 The importance of in-person meetings 15:55 Breaking down the demo tax components 24:47 AI and Demo Data Agents 26:42 Trends reshaping presales in 2026 Key Topics Covered The Evolution of Presales Technology From manual data creation with tools like Mockaroo to automated demo environments The rise of presales as a respected profession with executive leadership Shift from multi-week prep and constant travel to efficient Zoom-based demos The Demo Prep Tax Multiple departments impacted: DevOps, product, engineering, and SEs Hard dollar costs: hosting demo tenants can cost millions at scale Demo data degradation: perfectly prepared demos degrade over time SE time is expensive, and hours spent on manual data preparation adds up Building Relational Capital Only 17% of sales time is spent with buyers (even less for presales) In-person interactions unlock opportunities that Zoom calls cannot EQ and relationship-building will separate good from great in the age of AI AI-Powered Demo Automation Demo Data Agent: generates personalized demo data with a single prompt Token-based customization for industry, vertical, and use case adaptation Data injection technology allows real-time demo personalization The Future of Presales AI will expand automation across the entire sales cycle Agentic and asynchronous AI tools will support SEs 24/7 SEs won't be replaced, their time will be used differently The demo data is the story: great storytelling requires great demo data  

Four enterprise AI leaders from Box, Snorkel AI, Sumo Logic, and Talkdesk peel away the hype and share battle-tested strategies for implementing agentic AI at scale.Topics Include:Carol Potts introduces panel featuring AI leaders from Box, Snorkel AI, Sumo Logic, and TalkdeskDiego Dugatkin explains Box serves 120,000 enterprise customers with 1.5 exabytes of secure cloud contentKui Jia shares Sumo Logic processes petabytes daily across 10 AWS regions for intelligent operationsYunjing Ma describes Talkdesk's evolution from contact center to customer experience automation through agentic AIDennis Panos positions Snorkel AI as leader in embedding human knowledge into data-centric applicationsDiego reveals Box uses AI internally for faster development and externally for metadata extraction automationKui explains security teams face overwhelming volumes, sometimes 1,000 signals daily, many AI-generated attacksSumo Logic announces SOC analyst agent in customer beta and query agent in general availabilityYunjing details Talkdesk's multi-agent hierarchy architecture powered by unified TalkDesk Data Cloud platformFour key areas identified: discovery of opportunities, building knowledge-powered agents, optimization, and measurementDennis emphasizes starting with trusted data foundation before adding generative AI capabilities to avoid hallucinationsDiego stresses governance importance: AI guardrails plus traditional data security create comprehensive protection frameworkKui warns POC-to-production gap requires intentional design: different latency, accuracy, and security requirements at scaleYunjing shares customer success: 80,000 daily calls, 11,000 documents, 97% accuracy despite complex compliance rulesKey success factors include prompt engineering optimization and real-time data processing mechanism improvementsDiego advises learning AI tools end-to-end: from ideation through functional demos without traditional prototyping delaysDennis recommends robust evaluation frameworks across system components, similar to software unit testing approachesYunjing reinforces data processing optimization and governance remain essential alongside exciting agentic AI capabilitiesKui urges immediate action: technology evolves rapidly, perfect solutions don't exist, customer focus builds trustFinal advice centers on treating AI as digital teammate, not replacement, enhancing productivity and creativityPlatform partnerships like AWS Bedrock solve heavy lifting, allowing teams to focus on core differentiatorsParticipants:Diego Dugatkin - Chief Product Officer, BoxDennis Panos - Head of Enterprise AI, SnorkelAIKui Jia - VP AI Engineering, Sumo LogicYunjing Ma - VP of Engineering, AI, TalkdeskModerator: Carol Potts - General Manager, ISV Sales Segment, North America, Amazon Web ServicesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

The next step for A.I. is agentic, says Windows Central's Daniel Rubino. Personalization of A.I. is something he believes will bring a lot more people who currently do no use the tech to the other side. However, Daniel adds that it's the uses beyond chatbots that will be more important to society. Noah Hamman expects "tens," not "hundreds" of winners in the A.I. race. He adds to Daniel's point by explaining what he sees as the "biggest impact."======== Schwab Network ========Empowering every investor and trader, every market day.Options involve risks and are not suitable for all investors. Before trading, read the Options Disclosure Document. http://bit.ly/2v9tH6DSubscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

Scott Brighton returns to The Business of Giving to discuss Bonterra Que, the first truly agentic AI platform designed specifically for nonprofits. Unlike traditional chatbots, Que can actually perform complete jobs for nonprofit staff, from donor segmentation and campaign creation to grant writing. Through January 31st, Bonterra is offering Que at no cost to its customers during the critical year-end giving season. Scott shares how organizations are already seeing 20 to 40 percent lifts in fundraising results and why now is the time for nonprofits to experiment with this emerging technology.

In this episode of Lead-Lag Live, I sit down with Stephen Sikes, Chief Operating Officer at Public, to explore how artificial intelligence is transforming retail investing, brokerage platforms, and portfolio construction.From AI-powered research to custom-built indexes and the rise of agentic brokerage, Sikes explains how new tools are giving individual investors access to capabilities once reserved for institutions and what risks and responsibilities come with that shift.In this episode:– How AI research tools are changing how retail investors analyze stocks– What it means to build custom indexes using natural language– The rise of agentic brokerage and automated portfolio management– Where AI can help investors and where human judgment still matters– Why the next generation of brokerages may look nothing like the lastLead-Lag Live brings you inside conversations with the financial thinkers who shape markets. Subscribe for interviews that go deeper than the noise.Start your adventure with TableTalk Friday: A D&D Podcast at the link below or wherever you get your podcasts!Youtube: https://youtube.com/playlist?list=PLgB6B-mAeWlPM9KzGJ2O4cU0-m5lO0lkr&si=W_-jLsiREjyAIgEsSpotify: https://open.spotify.com/show/75YJ921WGQqUtwxRT71UQB?si=4R6kaAYOTtO2V Support the show

*** the sound balance is a bit off on this episode and we couldn't resolve it in editing - apologies!Shopify's bi-annual Editions launch is a key industry event that generates a lot of buzz.Learn about the latest developments from Shopify's winter editions with Ben Homer, Senior Solutions Engineer at Shopify. The discussion centers around the transformative impact of AI and agentic commerce on the platform, highlighting Shopify's commitment to enhancing both user and developer experiences. Why listen:Get insights into Shopify's strategic directionUnderstand the potential of AI in commerceLearning about new tools that democratise business capabilities.Key discussion points:Shopify's AI integration: explore how Shopify is leveraging AI to enhance platform capabilities, including the rollout of agentic commerce tools like Sidekick.Catalogs API Access: learn about the new access for developers to Shopify's catalogs API, enabling innovative tooling and expanded commerce capabilities.Pulse and SimGym: discover how these tools are democratising data-driven insights and testing, making advanced capabilities accessible to businesses of all sizes.Future of Shopify Flow: understand the potential of Shopify Flow in automating complex tasks and enhancing operational efficiency. Tinker and A/B Testing: get a glimpse into upcoming tools designed to simplify content creation and enhance hardware connectivity for Shopify users.

We are back for another Great Security Debate. In this episode: we discuss the potential role of agentic AI in security, from true “copilot” to automated decider of things, and whether LLMs are just a really cool search engine. Brian, Erik, and Dan also debate the means and extent to which we could replace ourselves with agents and what the inhibitors and risks are (spoiler alert: trust and survival of that agent after employment were big factors), and how do we train those agents of all the steps our brains take to make the decisions that the humans make, and do so without polluting it with aspirational versions of ourselves (think: Instagram vs Reality). And it all leads to a parenting lesson by Brian and an automotive process lesson by Erik? It's quite a debate. Thanks for listening! We might do one more episode in 2026, but if not have a wonderful holidays and a happy new year!Here's the quote that Brian references at the end of the episode by Tolstoy:Patience is waiting. Not passively waiting. That is laziness. But to Keep going when the going is hard and slow - that is patience. The two most powerful warriors are patience and time. The value lies not in reducing "power" (computational energy) but in leveraging that processing power to achieve outcomes that are difficult, slow, or impossible for humans to manage alone.Thanks for listening!Show Notes:Reflex Security - https://reflexsecurity.ioMovie Recommendation: Multiplicity - https://geni.us/7vgKOPlaid Privacy Policy - https://plaid.com/legal/Prompts.ai - https://www.prompts.ai/enMusic Recommendation: Take On Me - A-ha - https://www.youtube.com/watch?v=djV11Xbc914Book Recommendation: The Toyota Way - Book - https://geni.us/3LcpMBook Recommendation: Six Sigma - https://geni.us/CS8qlBook Recommendation: Matricide - https://geni.us/Xfn2MBBook Recommendation: The Lorax - https://geni.us/Fy8X4bPerplexity - https://www.perplexity.aiTV Recommendation - Pluribus (Apple TV+) - https://tv.apple.com/us/show/pluribus/umc.cmc.37axgovs2yozlyh3c2cmwzlzaSome of the links in the show notes contain affiliate links that may earn a commission should you choose to make a purchase using these links. Using these links supports The Great Security Debate and Distilling Security, so we appreciate it when you use them. We do not make our recommendations based on the availability or benefits of these affiliate links.

Will McGugan, the maker of Textual and Rich frameworks, speaks about the reasoning of developing the two two libraries and the lesson learned. Also, he shares light on Toad, his current project, which he envisions being a more visually appealing way of interacting with agentic LLMs through command line. Read a transcript of this interview: https://bit.ly/4j1MtFq Subscribe to the Software Architects' Newsletter for your monthly guide to the essential news and experience from industry peers on emerging patterns and technologies: https://www.infoq.com/software-architects-newsletter Upcoming Events: QCon London 2026 (March 16-19, 2026) QCon London equips senior engineers, architects, and technical leaders with trusted, practical insights to lead the change in software development. Get real-world solutions and leadership strategies from senior software practitioners defining current trends and solving today's toughest software challenges. https://qconlondon.com/ QCon AI Boston 2026 (June 1-2, 2026) Learn how real teams are accelerating the entire software lifecycle with AI. https://boston.qcon.ai The InfoQ Podcasts: Weekly inspiration to drive innovation and build great teams from senior software leaders. Listen to all our podcasts and read interview transcripts: - The InfoQ Podcast https://www.infoq.com/podcasts/ - Engineering Culture Podcast by InfoQ https://www.infoq.com/podcasts/#engineering_culture - Generally AI: https://www.infoq.com/generally-ai-podcast/ Follow InfoQ: - Mastodon: https://techhub.social/@infoq - X: https://x.com/InfoQ?from=@ - LinkedIn: https://www.linkedin.com/company/infoq/ - Facebook: https://www.facebook.com/InfoQdotcom# - Instagram: https://www.instagram.com/infoqdotcom/?hl=en - Youtube: https://www.youtube.com/infoq - Bluesky: https://bsky.app/profile/infoq.com Write for InfoQ: Learn and share the changes and innovations in professional software development. - Join a community of experts. - Increase your visibility. - Grow your career. https://www.infoq.com/write-for-infoq

Join Chris Corrado, CEO Americas and President at Squirro, in an in-depth conversation with Gary Fowler as they explore one of the most urgent challenges in AI today: trust. Discover how enterprises can deploy generative and agentic AI responsibly, securely, and at scale while maintaining transparency and protecting business integrity.

A critical issue is emerging as organizations embed AI agents into workflows: securing agentic AI requires a very different approach to security. In this episode, Accenture CISO Kris Burkhardt breaks down what's at stake with Daniel Kendzior who leads Security AI Reinvention for Accenture Cybersecurity and Wei Liu who leads Cyber Strategy, Risk, and Innovation for Accenture Information Security. Discover why traditional security frameworks fall short for agentic systems, how to create security boundaries without stifling progress, and why starting small and scaling fast is a strong strategy. The big takeaway? Security practitioners can't let the excitement around agentic AI distract them from security basics.

AX. Agentic Experience.This is the phrase I am taking into 2026, and it is where I open my final show of the year.Christine Russo sat down with Jonathan Arena, CEO of New Generation AI and trykeppler.ai. Jonathan explains the breakdown of what happens when agents arrive on your brand site. They are trying to read catalogs, understand product attributes and answer real shopper questions. And most websites are not ready for that level of traffic or that style of discovery. And let's not forget behind every agent is a human seeking information and product that fits their need.Sites obsessively built for CX are not build for AX (Agentic Experience). Pop ups, scripts, PDP clutter and traditional search patterns all get in the way. So the headline is not that agentic search does not work. It is that retailers have not built a companion experience for agents to understand their products. That is AX. And that is the work that must begin in 2026.Jonathan laid out the starting point with a level of clarity the industry needs. Identify the agents already reaching your site. Understand what they are asking for. See where your catalog breaks down. From there, create the layer that allows agents to access your product information cleanly and quickly. Once that foundation exists, everything else becomes possible. Better discovery, better conversion, better loyalty and eventually agent driven checkout.So as we close 2025 and look to 2026 seeking information on what will put you ahead, this is a starting point.

In dieser Folge vom OMT-Podcast spricht Mario Jung (OMT GmbH) mit Maren Kaspers (octonomy AI GmbH) über das Thema „AI Team of ONE – Wie ich mit KI-Agenten mein Marketing-Team revolutioniert habe“. Im Interview zeigt Maren, wie KI-Agenten heute die Arbeit eines ganzen Marketing-Teams übernehmen können. Maren beschreibt, wie sie Content-Erstellung, SEO-Analysen und Kampagnensteuerung durch intelligente Automatisierung effizienter gestaltet. Dabei geht es nicht nur um Geschwindigkeit, sondern auch um die Möglichkeit, als einzelne:r Marketer:in die Schlagkraft eines kompletten Teams zu erreichen. Besonders spannend sind ihre Praxisbeispiele: KI liefert kreative Ideen, übernimmt repetitive Aufgaben und schafft Freiräume für Strategie und Innovation. Ein zentraler Punkt ist der notwendige Mindset-Shift. Statt KI als Bedrohung zu sehen, empfiehlt Maren, sie als Kolleg:in zu begreifen, die Dich entlastet und Deine Arbeit auf ein neues Level hebt. So wird deutlich: KI ist nicht nur ein Werkzeug, sondern verändert die Art, wie Du Kampagnen planst, testest und optimierst.

The last of our three episodes recorded live at the 10th anniversary of Fintech Connect in London. Graham Barrett was joined by: 1/ Neal Lathia, Co-Founder and CTO, Gradient Labs 2/ Chloe Coleman, CEO, VouchSafe 3/ Luis Clark, Go to Market Manager, Monday.com 4/ Luke Wingfield Digby, Co-Founder, Orbital 5/ Jayadeep Nair, Founder, Inqyre.AI The conversations cover the rise of compliant AI agents in financial services, the realities of building digital identity solutions, the transformation of internal workflows, the emergence of stablecoins and digital money, and the operational applications of AI in compliance and risk. A dynamic look at the technologies and regulatory shifts defining fintech's future. DISCLAMER: The views and information shared here in Luke Wingfield Digby's interview are for general informational purposes only and do not constitute financial, investment, legal, or other professional advice. Authors do not guarantee the accuracy or completeness of the content. Products and services mentioned may not be available in all jurisdictions and are subject to applicable regulations. Listeners should conduct their own due diligence and consult with a qualified advisor before making any financial decisions.

Algorithms and automations have been buds for a decade plus.

Episode 152: In this episode of Critical Thinking - Bug Bounty Podcast we're joined by Sasi Levi from Noma Security to talk about AI and Agentic Security. We also talk about ForcedLeak, a Google Vertex Bug, and debate if Prompt Injection is a real Vuln.Follow us on twitter at: https://x.com/ctbbpodcastGot any ideas and suggestions? Feel free to send us any feedback here: info@criticalthinkingpodcast.ioShoutout to YTCracker for the awesome intro music!====== Links ======Follow your hosts Rhynorater, rez0 and gr3pme on X: https://x.com/Rhynoraterhttps://x.com/rez0__https://x.com/gr3pme====== Ways to Support CTBBPodcast ======Hop on the CTBB Discord at https://ctbb.show/discord!We also do Discord subs at $25, $10, and $5 - premium subscribers get access to private masterclasses, exploits, tools, scripts, un-redacted bug reports, etc.CHeck out our New Christmas Swag at https://ctbb.show/merch!Today's Sponsor: ThreatLocker. Check out ThreatLocker Elevation Controlhttps://ctbb.show/tl-ecAnd Noma Security! https://noma.security/Today's Guest: https://x.com/sasi2103====== This Week in Bug Bounty ======Vercel Platform ProtectionDedicated HackerOne program for Vercel WAFYesWeHack Open Source ProgramsAndroid recon for Bug Bounty hunters====== Resources ======Sasi's Tweet from 2015ForcedLeak: AI Agent risks exposed in Salesforce AgentForceIs Prompt Injection a Vulnerability?====== Timestamps ======(00:00:00) Introduction(00:09:16) Google Vertex AI Bug(00:29:28) Sasi's Background and Bug Bounty Journey(00:38:55) Resources for AI and Agentic Security Methodology(00:50:34) ForcedLeak(01:02:06) Is Prompt Injection a Vuln?

Salesforce, the world's #1 AI CRM, has unveiled its 2025 Cyber Week results (November 25-December 1), analysing shopping data from over 1.5 billion shoppers. This was another record-breaking shopping week, with overall industry global sales increasing 7% year over year (YOY) to €286billion, with Black Friday sales in Ireland increasing 19%. These results signal a strong consumer appetite for buying this holiday season despite increasing global prices, and they demonstrate AI and agents as fundamental accelerators for purchase and productivity in commerce. AI and agents deliver outsized impact on Cyber Week sales and service AI and agents were pivotal elements in shoppers' path to purchase, driving €57 billion in sales by delivering personalised, high-converting shopping experiences. Across Cyber Week, AI and agents influenced 20% of all global orders via personalised product recommendations and conversational customer service. Pandora, Shark Ninja, and Funko and other retailers who utilised Salesforce's Agentforce 360 and their own branded agents saw sales grow 32% faster than those without. Beyond purchases, AI agents efficiently managed the influx of inquiries to emerge as customer service heroes. Agentic customer service conversations grew 55% week over week. Crucially, the volume of agent actions - including updating delivery addresses and initiating returns - surged by 70% compared with the previous week, offsetting administrative loads for service teams and lowering operational costs. Salesforce powers Cyber Week with trust, scale, and AI agents The foundation of Cyber Week's success for global retailers was the trust and unified power of Agentforce 360. Brands drove profitable growth and scaled their operations, supported by Salesforce's 100% uptime the entire week, including Agentforce Commerce, which powered 61 million orders on digital storefronts. The scale extended across channels as retailers managed 76% more orders on the Order Management System (OMS) platform while Agentforce Marketing delivered personalised outreach by sending 56.3 billion marketing messages. On Black Friday, historically the largest day of the year for in-store shopping, Salesforce's Retail Point ofSale (POS) saw 96% YOY growth in order volumes. 2025 Cyber Week Industry Insights Cyber Week sets a new global record: Consumers demonstrated strong activity, continuing to spend throughout the week and driving healthy sales growth numbers for retailers. Black Friday drove €67 billion in global sales (up 6% YOY), up 19% in Ireland. . Black Friday also accounted for 31% of all in-store sales during Cyber Week, making it the largest in-store shopping day of the week. Meanwhile, Cyber Monday drove €45 billion in global online sales, which was up 15% in Ireland. Mobile shopping becomes the digital default: Mobile devices drove 70% of online orders both globally, and mobile wallets continued to grow as a top form of payment, used for 27% of all global orders. Meanwhile, social media is becoming a critical entry point for shoppers, driving 15% of all global digital traffic to retailers' sitesConsumer spending stays strong: The average selling price (ASP) across Cyber Week increased 6% YOY. But in the end, consumers were undeterred by these price hikes - Cyber Week order volumes still grew by 2% globally and 1% in the U.S. compared with last year. This signals that shoppers saw this time frame as the best week of the year to make purchases regardless of price hikes. "Irish shoppers with their well known eye for value continue to embrace Black Friday and Cyber Monday as a key moment in their Christmas shopping plans. This year's growth highlights the power that agentic AI can bring, with significant increases in predictive recommendations and conversion across the week. It shows the scale of the opportunity for Irish businesses of every size to adopt these new capabilities and deliver faster, smarter, and more personal experiences that meet rising custom...

Capabilities? Through the roof? Usage? Ground floor.Claude Agent Skills might be one of the most useful features of any front-end LLM. Yet....it's crickets in terms of chat around it. For this 'AI at Work on Wednesday' episode, we're breaking it down for beginners and will have you spinning up your own Claude Agent Skills in no time. Claude Skills: How to build Custom Agentic Abilities for beginners -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion:Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Claude Skills Agentic Features OverviewDifferences: Claude Skills vs. GPTs vs. GEMSModular Agentic Workflow File StructureStep-by-Step Guide: Building Claude SkillsClaude Skills YAML/Markdown Setup ProcessTesting and Validating Custom Claude SkillsAdvanced Capabilities: Executable Code & Sub-AgentsCommon Troubleshooting for Claude Skills CreationTimestamps:00:00 "Claude Skill Library Unveiled"06:27 "Claude Skills Explained"07:29 Custom GPTs and Gems Explained11:18 Claude Skills vs Projects17:31 "Refining Skill Triggers Effectively"20:17 "Beginner Cloud Skills Best Practices"23:39 "Preferring GPT and Memory Tools"25:54 "Saving Skill File Properly"28:09 Creating Skills on Claude33:43 "Creating AI News Searcher"35:36 Claude Skills Now Available37:39 "Optimizing Claude for Knowledge Tasks"41:05 "Skill Builder Library Access"Keywords:Claude skills, Claude agent skills, custom agentic abilities, large language model, agentic workflows, specialized tasks, coding capabilities, file creation, executable code, skills library, skill builder, skill creator, markdown file, skill.md, folder structure, YAML front matter, composable skills, modular instructions, automation, prompt engineering, skill triggers, skill testing, advanced features, API skill versioning, governance and efficiency,Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Vibe coding is dead simple. Head to AI.Studio/build to create your first app.  Vibe coding is dead simple. Head to AI.Studio/build to create your first app. 

El 9 de diciembre de 2025 se hizo historia en el mundo de la inteligencia artificial. La Linux Foundation anunció la creación de la Agentic AI Foundation, una coalición sin precedentes donde los mayores rivales del sector han decidido colaborar para establecer estándares abiertos. En este episodio analizamos en profundidad los tres proyectos fundacionales: MCP (Model Context Protocol) de Anthropic, que promete ser el USB-C de la IA; AGENTS.md de OpenAI, el README para agentes de código; y Goose de Block, un framework completo para construir agentes autónomos. Descubre por qué competidores directos han decidido unirse, qué significa para los desarrolladores y cómo estos estándares van a definir el futuro del trabajo con inteligencia artificial. El desarrollo ha cambiado para siempre con la llegada de los agentes de IA, y para poder sacarle el mayor provecho y ser un desarrollador de los que buscan las empresas por su ultra-productividad, tienes que ser un Maestro: consígue la Maestría con el Swift Mastery Program 2026. Descárgala ya desde el App Store: Be Native y escúchanos desde ahí. Suscríbete a nuestro canal de Youtube: Apple Coding en YouTube Descubre nuestro canal de Twitch: Apple Coding en Twitch. Descubre nuestras ofertas para oyentes: - Cursos en Udemy (con código de oferta) - Apple Coding Academy - Suscríbete a Apple Coding en nuestro Patreon. - Canal de Telegram de Swift. Acceso al canal. --------------- Consigue las camisetas oficiales de Apple Coding con los logos de Swift y Apple Coding así como todo tipo de merchadising como tazas o fundas. - Tienda de merchandising de Apple Coding.

Peggy Smedley and Dan Miklovic, founder, Lean Manufacturing Research and leader, Third Eye Advisory, look back at the biggest trends from 2025. He says everyone has been bombarded with AI: Q1 was gen AI and we hadn't got halfway through the year before the conversation switched to agentic AI—and manufacturers don't move that fast. They also discuss: · The next evolution of a smart factory—and the role of AI. · How to best use data in manufacturing. · The employment numbers—and the importance of having the right people. https://thirdeyeadvisory.com/

In this episode, Nathan and Scott talk about how quickly AI is changing the fundraising world. They look back at 2025 and think about what 2026 might bring. Nathan points out that no one expected AI to advance this quickly in just three years, and both agree that staying curious and adaptable is essential.  They share real examples, such as Nathan's young sons building apps, to show how easy it is to use AI tools. They also discuss AI's impact on jobs, with reports suggesting that nearly 12% of the US workforce could be affected.   A big part of the episode focuses on agentic AI—AI that can perform complex tasks on its own—and "vibe coding," which lets people build apps simply by talking to their computer. They also discuss Google's Gemini 3 and tools such as Notebook LM that make creating content faster and easier.  To wrap up, Nathan and Scott encourage listeners to stay open-minded, keep learning, and make the most of new AI opportunities as we head into 2026.  HIGHLIGHTS [05:05] AI's Impact on the Workforce and Personal Experiences   [08:03] The Role of Agentic AI and Vibe Coding   [21:14] Google's Gemini 3 and AI Integration   [30:10] AI Strategy and Ethical Considerations   [32:03] Looking Ahead to 2026 and Beyond  Connect with Nathan and Scott:  LinkedIn (Nathan): linkedin.com/in/nathanchappell/  LinkedIn (Scott): linkedin.com/in/scott-rosenkrans  Website: fundraising.ai/ 

We unpack how agentic AI shifts marketing from reactive prompts to proactive systems that watch behavior, answer real questions, and stretch budgets. Hope Bellair joins us to map practical steps for independent jewelers, from product data hygiene to Reddit-driven relevance, plus a few warnings about AI ads and synthetic influencers.Send us a text Send feedback or learn more about the podcast: punchmark.com/loupe Learn about Punchmark's website platform: punchmark.com Inquire about sponsoring In the Loupe and showcase your business on our next episode: podcast@punchmark.com

SummaryIn this episode of the Fuel Podcast, Grace Gill welcomes Naukr.ai CEO, Ravinder Sharma, for an insightful dive into the transformative journey of data science and AI. With over fifteen years in the field, Ravinder shares his expansive career journey, spanning both U.S. coasts, India, and ultimately leading back to Northwest Arkansas, a region he calls the “epicenter of retail.”The conversation highlights the exponential growth and rising cost of data, a challenge facing enterprises large and small. Ravinder describes Naukr.ai's mission: democratizing data science by leveraging agentic AI workflows, turning every employee into a data scientist through simple prompts. This innovative approach has the potential to help the region's 1700+ Walmart suppliers unlock actionable insights and make data-driven decisions faster than ever.Additionally, Grace and Ravinder discuss the challenges companies face in reliably leveraging data and institutional knowledge. Ravinder argues that platforms like Naukr.ai, which embody continuous learning and accessibility, are the future, enabling repeatable, scalable analytics regardless of staff changes.Moreover, this episode sheds light on the powerful mentorship and collaborative energy fostered by the Fuel Accelerator, which Ravinder credits for helping founders focus on solving real problems instead of just selling technology.  For those interested in retail technology, AI innovation, or entrepreneurial journeys in unexpected places, this episode is an energizing listen!Show Notes(00:00) Introduction(04:05) How AI is Driving Business Transformation(09:10) Using Agentic Data Science for Retail(14:21) Walmart's Data-Driven Decision Making(18:38) Hyper-Personalized Technology Expectations(22:20) Arkansas' AI Innovation Pride(30:01) The Fuel Accelerator Experience(34:15) Tech Integration Partnerships(35:45) Closing ThoughtsLinksGrace GillFuel AcceleratorFuel Accelerator YouTubeRavinder SharmaNaukr.ai

Today on our show:Black Friday Cyber Monday - You Devil You!Sam Altman Calls a Code Red to Stop Google ThreatAmazon and Visa Partner on Agentic PaymentsNike CEO Purges John Donahoe's Lieutenants- and finally, The Investor Minute which contains 3 items this week from the world of venture capital, acquisitions, and IPOs.Today's episode is sponsored by Mirakl.https://www.rmwcommerce.com/ecommerce-podcast-watsonweeklyThis podcast uses the following third-party services for analysis: Podtrac - https://analytics.podtrac.com/privacy-policy-gdrp

In this episode of the Identity at the Center Podcast, hosts Jeff and Jim sit down with Tobin South, co-chair of the OpenID Foundation's AI Identity Management Community Group, to delve into the intricacies of identity management in the age of agentic AI. They discuss the challenges and solutions related to AI agents, the role of the Model Context Protocol (MCP), and the concept of recursive delegation and scope attenuation. Additionally, the conversation covers practical advice for developers and enterprises on preparing for AI-driven identity management and explores the cultural touchstone of coffee from various global perspectives.Connect with Tobin: https://www.linkedin.com/in/tobinsouth/OpenID Foundation: https://openid.net/Identity Management for Agentic AI (OpenID Whitepaper): https://openid.net/wp-content/uploads/2025/10/Identity-Management-for-Agentic-AI.pdfConnect 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.comChapter Timestamps:00:00 – Jeff and Jim banter about unopened iPads and conference season05:55 – Introduction to Tobin South and his AI identity background07:00 – How AI has evolved from machine learning to generative models09:00 – The OpenID AI Identity Management Community Group10:30 – ChatGPT's impact on the AI perception shift12:00 – Users vs. Agents: What's the difference?14:00 – Letting the right bots in: AI agents vs. bad bots17:00 – AI impersonation, delegation, and the risk of shared credentials20:00 – Impersonation vs. Delegation – what practitioners need to know23:00 – Governance, oversight, and delegated authority for agents26:00 – Liability and “who is responsible” in agentic systems30:00 – How developers can prepare for agent identity and access management32:00 – Explaining the Model Context Protocol (MCP)36:00 – Enterprise use cases for MCP and internal automation38:00 – Is MCP the next SAML?42:00 – Recursive delegation and scope attenuation explained46:00 – The one key takeaway for IAM professionals48:00 – Lighter note: Coffee talk – from Sydney to San Francisco54:00 – Wrap-up and where to find more IDAC contentKeywords:IDAC, Identity at the Center, Jim McDonald, Jeff Steadman, Tobin South, OpenID Foundation, AI Identity Management, Agentic AI, Delegated Authority, Impersonation vs Delegation, Model Context Protocol (MCP), Recursive Delegation, Scope Attenuation, Identity Access Management, IAM, AI Governance, AI Standards, Enterprise AI, AI Agents, Identity Security

In this episode, we break down Google's newly revealed security framework built to safeguard Chrome's emerging agentic features. We explore how these protections work behind the scenes and what they mean for user safety as Chrome becomes increasingly autonomous.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustleSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Chris Radich from UiPath discusses the transition from traditional Robotic Process Automation (RPA) to agentic automation, emphasizing its potential to streamline end-to-end business processes. This shift allows organizations to focus on delivering outcomes rather than merely automating tasks. Radich highlights that agentic automation can handle complex processes, such as tax return processing for the IRS, which fundamentally changes how technology is perceived in terms of pricing and service delivery. Managed Service Providers (MSPs) are increasingly looking to UiPath to provide the technological backbone for these comprehensive services.Radich notes that while many organizations recognize the importance of a solid data foundation for successful AI implementation, they often struggle with data silos and a lack of process knowledge. He emphasizes that understanding end-to-end business processes is crucial for achieving effective automation outcomes. The conversation also touches on the need for organizations to revisit their process modeling and data management strategies to fully leverage the capabilities of agentic automation.The episode further explores the types of projects that yield the most success in this new paradigm. Radich advises focusing on document-centric processes, particularly in government sectors, where a significant portion of employee time is spent on document handling. He also points out that organizations should target processes that involve multiple legacy and modern systems, as these scenarios often require orchestration to improve efficiency.For MSPs and IT service leaders, the insights shared by Radich underscore the importance of developing both data and process disciplines to maximize the benefits of automation. As organizations navigate this transition, they must balance short-term implementation efforts with long-term strategic planning. The conversation serves as a reminder that while the technology is advancing rapidly, successful adoption hinges on a solid understanding of existing processes and data management practices.

At our Bankless Summit in Buenos Aires, four standout talks captured the frontier of crypto's next chapter. Lincoln Murr lays out why x402 is emerging as the missing payment layer for the agentic internet. Shay Ketsdever explains how bots already run modern markets, and how programmable auctions and privacy can turn the bot economy into something that benefits people instead of exploits them. Michael Dong shows how real-time ZK proving unlocks a hundred-fold expansion of Ethereum's computational power. And Luca Prosperi reframes money as a network, warning that today's stablecoin architecture is a single point of failure and arguing for a more resilient, distributed monetary system. ------

Live from the Morgan Stanley Global Consumer & Retail Conference, our analysts discuss how AI is reshaping the future of shopping in the U.S.Read more insights from Morgan Stanley.----- Transcript -----Michelle Weaver: Welcome to Thoughts on the Market. We're coming to you live from Morgan Stanley's Global Consumer and Retail Conference in New York City, where we have more than 120 leading companies in attendance. Today's episode is the second part of our live discussion of the U.S. consumer and how AI is changing consumer companies. With me on stage, we have Arunima Sinha from the Global and U.S. Economics team, Simeon Guttman, our U.S. Hardlines, Broad Lines, and Food Retail Analyst, and Megan Clap, U.S. Food Producers and Leisure Analyst. It's Friday, December 5th at 10am in New York. So, Simeon, I want to start with you. You recently put out a piece assessing the AI race. Can you take us through how you're assessing current AI implementation? And can you give us some real-world examples of what it looks like when a company significantly integrates AI into their business? Simeon Gutman: Sure. So, the Consumer Discretionary and Staples teams went to each of their covered companies, and we started searching for what those companies have disclosed and communicated regarding their AI. In some cases, we used AI to do this search. But we created a search and created this universe of factors and different ways AI is being implemented. We didn't have a framework until we had the entire universe of all of these AI use cases. Once we did, then we were able to compartmentalize them. And the different groups; we came up with six groups that we were able to cluster. First, personalization and refined search; second, customer acquisition; third product innovation; fourth, labor productivity; fifth, supply chain and logistics. And lastly, inventory management. And using that framework, we were able to rank companies on a 1 to 10 scale. Across – that was the implementation part – across three different dimensions: breadth, how widely the AI is deployed across those categories; the depth, the quality, which we did our best to be able to interpret. And then the last one was proprietary initiatives. So, that's partnerships, could be with leading AI firms. So that helped us differentiate the leaders with others, not necessarily laggards, but those who were ahead of in the race. In some cases, companies that have communicated more would naturally scream more, so there is some potential bias in that. But otherwise, the fact pattern was objective. Walmart has full scale AI deployment. They're integrated across their business. They've introduced GenAI tools. That's like their Sparky shopping assistant. As well as integrated to in-store features. They talked about it. It's been driving a 25 percent increase in average shopper spend. They've recently partnered with OpenAI to enable ChatGPT powered Search and Checkout, positioning where the company, where the customer is shopping. They're also layering on augmented reality for holiday shopping, computer vision for shelf monitoring. LLMs for inventory replenishment. Autonomous lifts, the list goes on and on. But it covers all the functional categories in our framework. Michelle Weaver: And how about a couple examples of the ways companies are using these? Any interesting real world use cases you've seen so far? Simeon Gutman: So, one of them was in marketing personalization, as well as in product cataloging. That was one of the more sided themes at this conference. So, it was good timing. So, the idea is when product is staged on a company's website; I don't think we all appreciate how much time and many hours and people and resources it takes to get the correct information, to get the right pictures and to show all the assortment – those type of functions AI is helping enable. And it sounds like we're on the cusp of a step change in personalization. It sounds like AI, machine learning or algorithm driven suggestions to consumers. We didn't get practical use cases, but a lot of companies talked about the deployment of this into 2026, which sounds like it's something to look forward to. Michelle Weaver: And Megan, how would you describe AI adoption in your space in terms of innings and what kind of criteria are you using to assess the future for AI opportunity and potential? Megan Clapp: Yeah, I would say; I'd characterize adoption in the Food and broader Staples space today is still relatively early innings. I think most companies are still standing up the data infrastructure, experimenting with various tools. We're seeing companies pilot early use cases and start to talk about them, and that was evident in the work we did with the note that Simeon just talked about. And so, the opportunity, I think, going ahead, lies in kind of what we see in terms of scaling those pilots to become more impactful. And for Staples broadly, and Food, you know, ties into this. I think, these companies start with an advantage and that they sit on a tremendous amount of high frequency consumption data. So, the data availability is quite large. The question now is, you know, can these large organizations move with speed and translate that data into action? And that's something that we're focused on when we think about feasibility. I think we think about the opportunity for Food and Staples broadly as we'd put it into kind of two areas. One is what can they do on the top line? Marketing, innovation, R&D, kind of the lifeblood of CPG companies, and that's where we're seeing a lot of the early use cases. I think ultimately that will be the most important driver – driving top line, you know, tends to be the most important thing in most consumer companies. But then on the other side, there are a lot of cost efforts, supply chain savings, labor productivity. Those are honestly a bit easier to quantify. And we're seeing real tangible things come out of that. But overall I think the way we think about it is the large companies with scale and the ability to go after the opportunity because they have the scale and the balance sheet to do so – will be winners here, as well as the smaller, more nimble companies that, you know, can move a little bit faster. And so that's how we're thinking about the opportunity. Michelle Weaver: Can you give us also just a couple examples of AI adoption that's been successful that you've seen so far? Megan Clapp: Yeah, so on the top line side, like I said, kind of marketing innovation, R&D. One quick example on the Food side. Hershey, for example, they're using algorithms to reallocate advertising spend by zip code, based on the real time sell through. So, they can just be much more targeted and more efficient, honestly, with that advertising spend. I think from an innovation perspective too, these companies are able to identify on trend things faster and incorporate that and take the idea to shelf time down significantly. And then on the cost side, you know, General Mills is a company is actually relatively, far ahead, I'd say, in the AI adoption curve in Staples broadly. And what they've done is deployed what they call digital twins across their network, and it has improved forecast accuracy. They've taken their historical productivity savings from 4 percent annually to 5 percent. That's something that's structural. So, seeing real tangible benefits that are showing up in the PNL. And so, I think broadly the theme is these companies are using AI to make faster, and more precise decisions. And then I thought, I'd just mention on the leisure side, something that I felt was interesting that we learned from Shark Ninja yesterday at the conference is – when asked about the role of Agentic AI in future commerce, thinks it'll be huge was how he described; the CEO described it. And what they're doing actively right now is optimizing their D2C website for LLMs like ChatGPT and Gemini. And his point was that what drives conversion on D2C today may not ultimately be what ranks on AI driven search. But he said the expectation is that by Christmas of next year, commerce via these AI platforms will be meaningful; mentioned that OpenAI is already experimenting with curated product transactions. So, they're really focused on optimizing their portfolio. He thinks brands will win; but you have got to get ahead of it as well. Michelle Weaver: And that's great that you just brought up Agentic commerce. We've heard about it quite a bit over the past couple of days, Simeon. And I know you recently put out a big piece on this theme. Agentic commerce introduces a lot of possibility for incremental sales, but it also introduces the possibility for cannibalization. Where do you see this shaking out in your space? Are you really concerned about that cannibalization possibility? Simeon Gutman: Yeah, so the larger debate is a little bit of sales cannibalization and a potential bit of retail media cannibalization. So, your first point is Agentic theoretically opens up a bigger e-commerce penetration and just more commerce. And once you go to more e-commerce, that could be beneficial for some of these companies. We can also put the counter argument of when e-commerce came, direct-to-consumer type of selling could disintermediate the captive retailer sales again. Maybe, maybe not. Part of this answer is we created a framework to think about what retailers can protect themselves most from this. Two of them; two of the five I's are infrastructure and inventory. So, the more that your inventory is forward position, the more infrastructure you have; the AI and the agent will still prioritize that retailer within that network. That business will likely not go elsewhere. And that's our premise. Now, retail media is a different can of worms. We don't know what models are going to look like. How this interaction will take place? We don't know who controls the data. The transactions part of this conference is we were hearing, ‘Well, the retailers are going to control some of the data and the transaction.' Will consumers feel comfortable giving personal information, credit card to agents? I'm sure at some point we'll feel comfortable, but there are these inertia points and these are models that are getting worked out today. There's incentives for the hyperscalers to be part of this. There's incentive for the retailers to be part of it. But we ultimately don't know. What we do know is though forward position inventory is still going to win that agent's business if you need to get merchandise quickly, efficiently. And if it's a lot of merchandise at once. Think about the largest platforms that have been investing in long tail of product and speed to getting it to that consumer. Michelle Weaver: And Arunima, I want to bring this back to the macro as well. As AI adoption starts to ramp the labor market then starts to get called into question. Is this going to be automation or is it going to be augmentation as you see a ramp in AI adoption? So how are your expectations for AI being factored into your forecast and what are you expecting there? Arunima Sinha: There are two ways that we think about just sort of AI spending mattering for our growth forecasts. One part is literally the spend, the investment in the data centers and the chips and so on. And then the other is just the rise in productivity. So, does the labor or does the human capital become more productive? And if we sum both of those things together, we think that over 2026 – [20]27, they add anywhere between 40-45 basis points to growth. And just to put things in perspective, our GDP growth estimate for the end of this year in 2026 is 1.8 percent. For 2027, it's 2.0 percent. So, it's an important part of that process. In terms of the labor market itself, the work that you have led, as well as the work that we've been doing – which is this question about adoption at the macro level, that's still fairly low. We look at the census data that tracks larger companies or mid-size companies on a monthly basis to say, ‘How much did you use AI tools in the last couple of weeks.' And that's been slowly increasing, but it's still sort of in the mid-teens in terms of how many companies have been using as a percentage. And so, we think that adoption should continue to increase. And as that does, for now, we think it is going to be a compliment to labor. Although there are some cohorts within sort of demographic cohorts in terms of ages that are probably going to be disproportionately impacted, but we don't think that that's a sort of near term 2026 story. Michelle Weaver:  Well, thank you all for joining us and please follow Thoughts on the Market wherever you listen to podcasts. Thank you to our panel participants for this engaging discussion and to our live and podcast audiences. Thanks for listening. If you enjoy Thoughts on the Market, please leave us a review wherever you listen and share the podcast with a friend or colleague today.