Podcasts about genai

ChatGPT-5 promises significant advances in generative AI capabilities. Eric Enge, industry veteran at Pilot Holding with decades of search marketing expertise, explores the potential enterprise applications and limitations of next-generation AI tools. The discussion examines user preference adaptation frameworks, traffic attribution models for breaking AI walled gardens, and strategic positioning for leveraging enhanced AI capabilities in enterprise search workflows.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Today's episode breaks down new reports from OpenAI and Menlo Ventures that show enterprise AI adoption accelerating quickly, with coding emerging as the first true killer use case, reasoning models driving deeper workflow integration, and the gap between leaders and laggards widening as frontier firms compound their advantages. The conversation also looks at early agent deployments and what these trends signal for the 2026 boom-versus-bubble debate. In the headlines: Anthropic donates MCP as OpenAI, Anthropic, and Block form the Agentic AI Foundation, rumors swirl around GPT-5.2 and a new image model, OpenAI launches AI Foundations certifications, and the US military unveils its GenAI.milBrought to you by:KPMG – Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast and unlock insights that will inform smarter decisions inside your enterprise. Listen now and start shaping your future with every episode. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.kpmg.us/AIpodcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Gemini - Build anything with Gemini 3 Pro in Google AI Studio - ⁠⁠http://ai.studio/build⁠⁠Rovo - Unleash the potential of your team with AI-powered Search, Chat and Agents - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://rovo.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LandfallIP - AI to Navigate the Patent Process - https://landfallip.com/Blitzy.com - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to build enterprise software in days, not months Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Interested in sponsoring the show? sponsors@aidailybrief.ai

Trump makes a major announcement on Chinese chips, the US military unveils its new AI platform, and tens of thousands of migrant kids who went missing under Biden have been found. Get the facts first with Evening Wire. - - - Ep. 2527 - - - Wake up with new Morning Wire merch: https://bit.ly/4lIubt3 - - - Privacy Policy: https://www.dailywire.com/privacy morning wire,morning wire podcast,the morning wire podcast,Georgia Howe,John Bickley,daily wire podcast,podcast,news podcast Learn more about your ad choices. Visit podcastchoices.com/adchoices

Episode Summary In this episode of Elevate Care, hosts Kerry Perez and Liz Cunningham dive deep into the evolving landscape of healthcare candidate acquisition and retention. Leveraging their extensive backgrounds in strategy, marketing, and technology, they explore how regulatory changes and the rise of Generative AI are reshaping how clinicians search for jobs and how organizations must adapt their digital marketing strategies. The conversation uncovers critical insights into the shifting balance between high-tech self-service adoption and the enduring value of high-touch human connection in the hiring process. They also challenge traditional notions of loyalty programs, proposing a "long tail" approach to clinician engagement that prioritizes consistent service and access over points-based rewards. Tune in to discover actionable strategies for optimizing workforce solutions and building lasting relationships with talent in a rapidly changing market.Episode Chapters00:00 — Introduction: Candidate Acquisition Trends01:31 — Regulatory Changes and Gen AI in Job Search04:13 — The Future of Job Boards05:46 — Balancing Authenticity with AI Automation08:09 — Adoption of Self-Service Technology10:12 — Lessons from Locum Tenens Tech12:26 — Hyper-Personalization via AI15:03 — Human vs. Digital Brand Loyalty16:54 — Redefining Loyalty in Healthcare Staffing21:58 — Digital Transformation in Credentialing and Onboarding24:12 — Conclusion and Key Takeaways  Sponsors: We're proudly sponsored by AMN Healthcare, the leader in healthcare staffing and workforce solutions. Explore their services at AMN Healthcare. Learn how AMN Healthcare's workforce flexibility technology helps health systems cut costs and improve efficiency. Click here to explore the case study and discover smarter ways to manage your resources!Discover how WorkWise is redefining workforce management for healthcare. Visit workwise.amnhealthcare.com to learn more.About The Show: Elevate Care delves into the latest trends, thinking, and best practices shaping the landscape of healthcare. From total talent management to solutions and strategies to expand the reach of care, we discuss methods to enable high quality, flexible workforce and care delivery. We will discuss the latest advancements in technology, the impact of emerging models and settings, physical and virtual, and address strategies to identify and obtain an optimal workforce mix. Tune in to gain valuable insights from thought leaders focused on improving healthcare quality, workforce well-being, and patient outcomes. Learn more about the show here. Connect with Our Hosts:Kerry on LinkedInNishan on LinkedInLiz on LinkedIn Find Us On:WebsiteYouTubeSpotifyAppleInstagramLinkedInXFacebook Powered by AMN Healthcare Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

AI agent building turns passive learning into practical skill-building, helping associations boost member capability, deepen engagement, and unlock new revenue opportunities through hands-on, coached innovation. This is the key take-away from this episode, which talks about how AI agent building can take you from education to revenue.You can find the article that forms the basis for this episode at https://disasteravoidanceexperts.com/from-education-to-revenue-with-ai-agent-building/

OpenAI has launched a code red.

How is the biggest newspaper in the United States using GenAI? Today, we're talking to Jason Sobel, CTO at The New York Times. We discuss how technology is transforming journalism for the digital age, why 70% of journalism jobs have disappeared in the last 25 years, and how The New York Times uses AI to enhance reporting without replacing human journalists. All of this right here, right now, on the Modern CTO Podcast!  Thank you to Digital Ocean for sponsoring this episode. For simple cloud and powerful AI that's built to scale, check out Digital Ocean here. To get learn more about the New York Times, check out their website here.

67% of businesses already use AI for SEO and content marketing, yet most lack integration strategies. Eric Enge, President at Pilot Holding and author of four SEO books including "Using Generative AI for SEO," shares proven frameworks from building and selling multiple SEO agencies. The discussion covers relevance optimization using vector embeddings and cosine similarity algorithms that work across both traditional search and LLMs, plus practical implementation strategies for enterprise teams to leverage tools like Screaming Frog's similarity scoring for competitive content analysis.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this week's episode, we review Octopath Traveler 0, talk Inazuma Eleven, Romancing SaGa, GenAI, and more.

Send us a textPhotographer credit for Anja Neubauer: self-portrait created with an AI tool.Show Notes:2:30 Prof. Tim McFarlin's focus on copyright and authorship3:30 Dr. Caterina Moruzzi's philosophical/design perspective / focus on authenticity5:00 Dr. Anja Neubauer's focus on global AI/copyright framework5:50 Artist Lisa Lebofsky's perspective on AI as a nomadic painter8:45 “Authenticity Unmasked”–looking at the artistic process not the product9:55 “Authenticity Unmasked” insight-centrality of human perspective12:00 Neubauer–redefinition of terms like originality in light of emerging tech13:30 Getty v. Stability finding  outputs are not copies so not infringements14:55 McFarland–genAI's scale and redefining understanding of terms17:05 US state and federal laws 19:00 need for unified global protection19:50 Alan Robershaw – UK Getty decision's technical focus on the process 21:40 Defining originality 22:10 Getty opinion at 601 v. AI models are memorizing/making copies 24:00 Robertshaw - one step away from judicial definition of consciousness24:40 McFarland – scale is the concern25:35 Lebofsky – how prior claims of infringement fit into AI/appropriation of artists' works26:20 McFarland – ‘substantially similar' takings are prima facie infringement subject to fair use defense27:10 consideration of outputs flooding the market harm 29:25 Lebofsky – use of AI through tools like AI Charm Lab app 31:00 Lebofsky's view of threats to her style and her language 32:45 human requirement for ‘authorship' and consumer trends35:55 Moruzzi – human effort to value the process37:15 Process visible in generative AI circa 2015 v. current genAI's less visibility and thus less authenticity38:30 Anthroprocentric – human need for authorship40:20 Robershaw - Monkey-selfie case; animal versus machine personhood 43:15 McFarland – Arkansas statute on AI44:40 Gould – UK Section 9(3) - limited copyright for output in person who organized the output45:00 Neubauer – issue of term “equipment” for tools 46:50 Gould – current copyright legislation is not fit for purpose48:35 Distinction between camera use and AI model training49:05 Copyright Criminals documentary regarding music sampling 50:00 Sampling case involving Kraftwerk 51:35 Moruzzi – response to consultations53:00 McFarland – extent of law v. parallel tracks to copyright or other alternatives to preserve and protect human creativity54:00 Stefania Salles Bruins–solutions outside the law54:40 Copyright not fit for purpose 55:20 Neubauer - Shift in definition of artwork55:45 Lebofsky – how to establish boundaries57:25 Robertshaw re: Lebofsky's paintings58:00 Salles Bruins – Lebofsky's coding that cannot be replicatedPlease share your comments and/or questions at stephanie@warfareofartandlaw.comMusic by Toulme.To hear more episodes, please visit Warfare of Art and Law podcast's website.To leave questions or comments about this or other episodes of the podcast and/or for information about joining the 2ND Saturday discussion on art, culture and justice, please message me at stephanie@warfareofartandlaw.com. Thanks so much for listening!© Stephanie Drawdy [2025]

I finally built the LEGO Game Boy, and I go through the elements that it has and the different ways it can be displayed. The USS Enterprise LEGO set came out on Black Friday, but there is a bad typo on the stickers. Tim Sweeney believes Steam should not require developers to disclose if Generative AI was used to make their games, since he claims everyone will use it eventually. Nintendo is buying a Bandai Namco studio in Singapore that assisted with game development. Then we take a caller to talk about the Saudi Arabia influence in the newly resurrected Overwatch League.

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. 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How can you scale AI at the enterprise, yet still hit your climate goals? And can heavy AI usage and an enterprise's ESG mission co-exist? Ashutosh Ahuja lays it out for us. Aligning AI With Climate And Business Goals -- An Everyday AI Chat with Jordan Wilson and Ashutosh AhujaNewsletter: 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:AI's Environmental Impact and Climate ConcernsCompanies Aligning AI with ESG GoalsAI Adoption Versus Carbon Footprint TradeoffsMetrics for Measuring AI's Environmental ImpactBusiness Efficiency Gains from AI AdoptionReal-World Examples: AI Offsetting Carbon FootprintIndustry Opportunities for Sustainable AI IntegrationFuture Trends: Efficient AI Models and Edge ComputingTimestamps:00:00 Everyday AI Podcast & Newsletter05:52 Balancing Progress and Legacy07:03 "Should Companies Limit AI Usage?"12:02 "Sentiment Analysis for Business Growth"17:07 "Energy Efficiency Impacts ESG Metrics"19:40 Robots, Energy, and AI Opportunity21:41 AI Efficiency and Climate Balance25:04 "Trust Instincts in Investments"Keywords:AI and climate, climate goals, aligning AI with ESG, environmental impact of AI, carbon footprint, energy use in AI data centers, water cooling for GPUs, sustainable business practices, enterprise AI strategy, ESG compliance, climate pledges, AI adoption in business, carbon footprint metrics, machine learning for sustainability, predictive analytics, ethical AI, green AI solutions, renewable energy sector, AI in waste management, camera vision for waste sorting, delivery robots, edge AI, small business AI implementation, AI efficiency, sentiment analysis, customer patterns, predictive maintenance, IoT data, auto scaling, cloud computing, resource optimization, SEC filings, brand sentiment tracking, LLM energy consumption, environmental considerations for AI, future of AI in climate action, business efficiency, human in the loop, philanthropic business practices, sustainable architecture, large language models and climate, tech industry climate initiatives, AI-powered resource savings, operational sustainability.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 Thought Behind Things, we sit down with Ahmed Abubakar, Founder of Imagine Art - a Pakistan-built GenAI creative suite used by millions worldwide and competing for #1–#2 positions in global design app charts, right next to Canva. Today, Imagine does $30M+ ARR, with a major portion of revenue coming from the US and international markets - proving that world-class AI products can be built from Pakistan.We Explore:Early life, education, and family sacrificesBuilding Imagine and scaling GenAI to millionsWhy Pakistani app & gaming industry is bigger than India'sMonetization, profitability & $30M ARRESOPs, stock options & talent philosophyFuture of AI models, creativity, disruption & user context mappingMoving to the US, global talent, and Pakistan's role in 2050Socials:TBT's Instagram: ⁠⁠⁠⁠https://www.instagram.com/thoughtbehindthings/⁠⁠⁠⁠TBT's TikTok:⁠⁠⁠⁠ https://www.tiktok.com/@tbtbymuzamil⁠⁠⁠⁠TBT's Facebook: ⁠⁠⁠⁠https://www.facebook.com/thoughtbehindthings⁠⁠⁠⁠TBT Clips: ⁠⁠⁠⁠https://www.youtube.com/@tbtpodcastclips⁠⁠⁠⁠Muzamil's Instagram: ⁠⁠⁠⁠https://www.instagram.com/muzamilhasan/⁠⁠⁠⁠Muzamil's LinkedIn: ⁠⁠⁠⁠https://www.linkedin.com/in/muzamilhasan/⁠⁠⁠⁠Ahmed's LinkedIn: https://www.linkedin.com/in/ahmed-abubakar-9482127b/Endeavor's LinkedIn: ⁠⁠⁠⁠https://www.linkedin.com/company/endeavor-pakistan⁠⁠⁠⁠Credits:Executive Producer: Syed Muzamil Hasan ZaidiAssociate Producer: Saad ShehryarPublisher: Talha ShaikhEditor: Jawad Sajid

Chris Morgan, VP of Data Science at Lincoln Financial Group, joins me to unpack what a real data culture looks like inside a complex, highly regulated business that has policies on the books for decades. We talk about how to turn Gen AI buzz into real value, why governance and quality suddenly matter to everyone, and how to tackle data technical debt without stalling delivery.Chris shares concrete ways he finds champions in the business, balances centralized and federated models, and keeps stakeholders excited about the future while he quietly fixes the messy data foundation underneath it all.Key takeawaysData culture is less about dashboards and more about curiosity, repeatable processes, and raising the analytical watermark across the company, not just in the data team.The teams that will win with Gen AI are the ones that can safely connect proprietary data to these models, which demands strong governance, clear definitions, and shared standards.A blended model works best for scaling data work, where a central function sets guardrails and standards while domain teams stay close to the business and own local decisions.Paying down technical debt works when it is framed in business terms, tied to revenue and risk, and treated as a regular slice of capacity instead of a one time side project.Education is now part of the job for data leaders, from internal road shows on Gen AI to simple stories that explain why foundational data work matters before you can ship shiny tools.Timestamped highlights00:04 Setting the stage Chris explains his role at Lincoln Financial and how data science supports life and annuity products that can live for decades.03:33 The Cobb salad story A simple grocery store analogy that makes data standards and shared definitions instantly clear to non technical stakeholders.06:06 Finding the right champions Why Chris prefers curious partners who will invest time with the data team over senior leaders who just want results without changing behavior.08:33 Governance as Gen AI fuel How regulatory pressure and the need to trust what goes into models are pushing data governance and quality into the spotlight.11:11 A practical way to attack data technical debt How Chris decides what to fix first, and why he tries to reserve a steady slice of team time for cleanup so progress is visible and sustainable.17:44 Managing Gen AI expectations From road shows to constant communication, Chris shares how he keeps enthusiasm high while also being honest about the timeline and effort.One line that sums it up“These generative models are going to become a commodity and what will separate companies is who can take the most advantage of their proprietary data.”Practical playbookStart small with data culture by picking one engaged business partner, one problem, and one outcome you can measure clearly.Reserve a consistent portion of team capacity for technical debt, even if it is only a small percentage at first, and make the tradeoffs visible.Use stories, analogies, and simple rules of the road so stakeholders can understand how data systems work without becoming experts in the tech.Call to actionIf this conversation helped you think differently about data culture and Gen AI inside your company, follow the show and leave a rating so more engineering and data leaders can find it. To keep the discussion going, connect with me on LinkedIn and share how your team is tackling data culture and technical debt right now.

Live from the iconic Venetian in Las Vegas, we're rolling out an exclusive mini-series dedicated to AWS re:Invent 2025!Tune in as we sit down with AWS visionaries and take the pulse of the industry on everything shaping the future, Cloud innovation, GenAI, Agents, and the hottest trends making waves.And because what happens in Vegas doesn't always stay in Vegas, we'll spill the latest news, insider buzz, and a little Strip-side gossip to keep things spicy. Dave, Esmee, and Rob continue their discussion with Scott Mullins, MD Financial Services at AWS, on how the sector is rapidly embracing cloud, AI, automation, and real-time data to drive agility and stay compliant. TLDR00:30 – Meet Scott Mullins and hear about his re:Invent experience05:00 – Deep dive conversation with Scott25:56 – Fiiction with The Jetsons GuestScott Mullins: https://www.linkedin.com/in/escottmullins/ HostsDave Chapman:  https://www.linkedin.com/in/chapmandr/Esmee van de Giessen:  https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan:  https://www.linkedin.com/in/rob-kernahan/ ProductionMarcel van der Burg:  https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman:  https://www.linkedin.com/in/chapmandr/ SoundBen Corbett:  https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:   https://www.linkedin.com/in/louis-corbett-087250264/ 'Cloud Realities' is an original podcast from Capgemini

Live from the iconic Venetian in Las Vegas, we're rolling out an exclusive mini-series dedicated to AWS re:Invent 2025!Tune in as we sit down with AWS visionaries and take the pulse of the industry on everything shaping the future, Cloud innovation, GenAI, Agents, and the hottest trends making waves.And because what happens in Vegas doesn't always stay in Vegas, we'll spill the latest news, insider buzz, and a little Strip-side gossip to keep things spicy. Dave, Esmee, and Rob wrap up their final AWS re:Invent 2025 conversation with Mustafa Isik, Chief Technologist for Sovereignty at AWS, discussing digital sovereignty and its growing regional importance. They close the event with reflections from Matthew Gillard, co-founder of Cuidado Connect and co-host of Cloud Dialogues, along with insights from the team. TLDR01:29 – Meet Mustafa Isik and hear his keynote highlights04:05 – In-depth discussion with Mustafa31:35 – Exploring the line between science fiction and science fact36:26 – Introduction to Matthew Gillard38:55 – Matt shares his re:Invent reflections from a developer's perspective52:12 – The team looks back on re:Invent 20251:00:02 – The team's take on science fiction versus science fact GuestsMustafa Isik: https://www.linkedin.com/in/codesurgeon/Matt Gillard: https://www.linkedin.com/in/mattgillard/ https://cloud-dialogues.com/HostsDave Chapman:  https://www.linkedin.com/in/chapmandr/Esmee van de Giessen:  https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan:  https://www.linkedin.com/in/rob-kernahan/ ProductionMarcel van der Burg:  https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman:  https://www.linkedin.com/in/chapmandr/ SoundBen Corbett:  https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:   https://www.linkedin.com/in/louis-corbett-087250264/ 'Cloud Realities' is an original podcast from Capgemini

Live from the iconic Venetian in Las Vegas, we're rolling out an exclusive mini-series dedicated to AWS re:Invent 2025!Tune in as we sit down with AWS visionaries and take the pulse of the industry on everything shaping the future, Cloud innovation, GenAI, Agents, and the hottest trends making waves.And because what happens in Vegas doesn't always stay in Vegas, we'll spill the latest news, insider buzz, and a little Strip-side gossip to keep things spicy.Dave, Esmee, and Rob bring a double-feature conversation on industry innovation—first with Rob Boetticher, Global Technology Leader for Automotive and Manufacturing, followed by Howard Gefen, GM of the Energy and Utilities Industry Business Unit at AWS. TLDR00:42 – Rob Boetticher & Howard Gefen introduced02:00 – Rob's keynote highlights07:52 –  The future of automotive innovation with Rob23:32 – Tech fiction examples25:59 – Howard Gefen introduced28:00 – Howard's keynote highlights31:04 – Howard on the future of Energy and Utilities50:14 – Tech fiction examples GuestRob Boetticher: https://www.linkedin.com/in/robert-boetticher/Howard Gefen: https://www.linkedin.com/in/hgefen/ HostsDave Chapman:  https://www.linkedin.com/in/chapmandr/Esmee van de Giessen:  https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan:  https://www.linkedin.com/in/rob-kernahan/ ProductionMarcel van der Burg:  https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman:  https://www.linkedin.com/in/chapmandr/ SoundBen Corbett:  https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:   https://www.linkedin.com/in/louis-corbett-087250264/ 'Cloud Realities' is an original podcast from Capgemini

Live from the iconic Venetian in Las Vegas, we're rolling out an exclusive mini-series dedicated to AWS re:Invent 2025!Tune in as we sit down with AWS visionaries and take the pulse of the industry on everything shaping the future, Cloud innovation, GenAI, Agents, and the hottest trends making waves.And because what happens in Vegas doesn't always stay in Vegas, we'll spill the latest news, insider buzz, and a little Strip-side gossip to keep things spicy. Dave, Esmee, and Rob kick off their conversation with Tanuja Randery, Managing Director for Europe, the Middle East & Africa (EMEA), diving into cloud innovation and the call to re:Accelerate Europe. TLDR00:49 – Introduction to Tanuja Randery03:29 – Keynote highlights with Tanuja and a deep-dive conversation31:00 – Imaginary tech and Star Trek GuestTanuja Randery: https://www.linkedin.com/in/tanuja-randery/ HostsDave Chapman:  https://www.linkedin.com/in/chapmandr/Esmee van de Giessen:  https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan:  https://www.linkedin.com/in/rob-kernahan/ ProductionMarcel van der Burg:  https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman:  https://www.linkedin.com/in/chapmandr/ SoundBen Corbett:  https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:   https://www.linkedin.com/in/louis-corbett-087250264/ 'Cloud Realities' is an original podcast from Capgemini

What's stopping legacy companies from becoming the next Airbnb or Amazon—and how can they unlock platform thinking to transform their assets into thriving ecosystems? Dive into how established organizations can use the “Digital Phoenix” effect to fuel innovation, leverage their existing advantages, and reshape value creation with cutting-edge insights from the world of platforms. Topics covered: Platform business models and value creationPlatform thinking vs. traditional business models The “Digital Phoenix” effect and leveraging idle assets Case studies: Telepass, EasyPark, airports, and Chipotle Overcoming barriers to platform transformation Internal platforms and cross-functional collaboration The impact of AI and generative AI on organizations Employee engagement and organizational change Shifting from customer-centricity to value architecture Scaling, flexibility, and regeneration benefits of platforms Connect with Daniel & Tommaso:Website: PlatformThinking.EULinkedIn: Daniel Trabucchi // Tommaso Buganza Episode Chapters00:00:05 – Introduction and welcome 00:00:33 – The rise of platform companies and industries reshaped 00:01:38 – AI's role in internal platforms and collaboration 00:02:02 – Guests' background and partnership 00:02:29 – The Digital Phoenix Effect and business transformation 00:04:16 – The Phoenix analogy and legacy company opportunities 00:04:43 – Telepass case study: from legacy to platform 00:05:58 – Overcoming the chicken-and-egg problem 00:07:39 – Idle assets: a startup advantage for legacy firms 00:08:47 – Defining platforms: do both sides need to be tech-centric? 00:09:18 – Types of users and value creation differences 00:10:09 – Legacy firms, tech, and two-sided value 00:12:36 – Nontraditional examples: airports and value creation 00:14:12 – Chipotle's farmer market: a pandemic case 00:17:11 – Mindset shifts: sustainability, regeneration, and platform transformation 00:19:09 – Barriers to platform adoption: mindset, complexity, and value 00:23:57 – From customer shoes to value architect's perspective 00:25:10 – Reshaping organizations: multiple customer mindsets 00:27:23 – Common worries of business leaders 00:29:41 – Benefits for companies making the leap 00:33:25 – Organizational change and employee engagement 00:34:14 – Leading innovation and internal platform value 00:36:12 – Creating a win-win within organizations 00:38:26 – AI's evolving role in platform thinking 00:40:57 – Internal collaboration and GenAI's sliding doors 00:42:49 – Where to find the guests and resources 00:44:03 – Show credits and closing

This is Vibe Coding 001. Have you ever wanted to build your own software or apps that can just kinda do your work for you inside of the LLM you use but don't know where to start? Start here. We're giving it all away and making it as simple as possible, while also hopefully challenging how you think about work. Join us. Beginner's Guide: How to visualize data with AI in ChatGPT, Gemini and Claude -- 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:Combining Multiple Features in Large Language ModelsVisualizing Data in ChatGPT, Gemini, and ClaudeCreating Custom GPTs, Gems, and ProjectsUploading Files for Automated Data DashboardsComparing ChatGPT Canvas, Gemini Canvas, and Claude ArtifactsUsing Agentic Capabilities for Problem SolvingVisualizing Meeting Transcripts and Unstructured DataOne-Shot Mini App Creation with AITimestamps:00:00 "Unlocking Superhuman LLM Capabilities"04:12 Custom AI Model and Testing07:18 "Multi-Mode Control for LLMs"12:33 "Intro to Vibe Coding"13:19 "Streamlined AI for Simplification"19:59 Podcast Analytics Simplified21:27 "ChatChibuty vs. Google Gemini"26:55 "Handling Diverse Data Efficiently"28:50 "AI for Actionable Task Automation"33:12 "Personalized Dashboard for Meetings"36:21 Personalized Automated Workflow Solution40:00 "AI Data Visualization Guide"40:38 "Everyday AI Wrap-Up"Keywords:ChatGPT, Gemini, Claude, data visualization with AI, visualize data using AI, Large Language Models, LLM features, combining LLM modes, custom instructions, GPTs, Gems, Anthropic projects, canvas mode, interactive dashboards, agentic models, code rendering, meeting transcripts visualization, SOP visualization, document analysis, unstructured data, structured insights, generative AI workflows, personalized dashboards, automated reporting, chain of thought reasoning, one-shot visualizations, data-driven decision-making, non-technical business leaders, micro apps, AI-powered interfaces, action items extraction, iterative improvement, multimodal AI, Opus 4.5, Five One Thinking, Gemini 3 Pro, artifacts, demos over memos, bespoke software, digital transformation, automated analyticsSend 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, QCon AI New York 2025 Chair Wes Reisz speaks with Reken CEO and Google Trust & Safety founder Shuman Ghosemajumder about the erosion of digital trust. They explore how deepfakes and automated social engineering are scaling cybercrime. Shuman argues defenders must move beyond default trust, utilizing behavioral telemetry and game theory to counter attacks that simulate human behavior. Read a transcript of this interview: https://bit.ly/4p7zX9z 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 AI New York 2025 (December 16-17, 2025) https://ai.qconferences.com/ 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

Upcoming Ayurveda Retreat/ Workshop/ EventsA Two-Week Immersive Healing Experience, with Dr. Vignesh Devraj MD (Ay)Guided personally by Dr. Vignesh Devraj MD (Ay), our upcoming retreat isn't just about receiving treatments, it's about transforming the patterns that created imbalance in the first place.Dates: December 22, 2025 – January 5, 2026Venue: Sitaram X The Postcard Old Goahttps://sitaramretreat.com/ayurveda-experience/In this eye-opening conversation, Dr. Vignesh Devraj and AI expert Krishnakumar explore how Gen-AI is fundamentally reshaping the way humans think, learn, work, heal, and connect. From AI acting as a non-judgmental therapist, to children learning physics from a Feynman-style AI teacher, to the rise of “builder mindset,” this episode breaks down the real, everyday impact of AI beyond the hype.Episode Highlights:Why AI feels emotionally safer than peopleinsight-seeking vs information-seeking promptsHow children use AI to accelerate deep learningWhy AI expands human creativityHow companies are already using AI for high-level strategic thinkingThe risks: over-dependence, isolation, screen addiction & AI relationshipsHow can we use AI consciously without losing our humanityTimestamps: 0:00 – 04:00: The Boom of AI 04:00 – 16:00: Life Optimization with AI16:00 – 25:05: Tech Disruption & How AI Works25:05 – 33:00: Two Sides of Technology33:00 – 38:30: AI for Data, Growth & Strategy38:30 – 48:35: Wipe Coding, Dark Factories & other Shifts48:35 – 01:00:00: Career Pivots & Rethinking Education01:00:00 – 01:18:00: Consulting with AI that Evolves Every Week01:18:00 – 01:22:47: Power of Prompts and Future of AIDr Vignesh Devraj If you are interested in doing one on one Ayurvedic consultation with Dr Vignesh Devraj please find the details in this link: https://calendly.com/drvignesh/30-minute-session-with-dr-vignesh-devraj-md-ay-istIf you are economically challenged, please use the form provided to request a free Ayurvedic consultation here. (or copy paste this in your browser: https://docs.google.com/forms/d/e/1FAIpQLSd29nHcrC1RssR-6WAqWCWQWKKJo7nGcEm8ITEl2-ErcnfVEg/viewform )BALANCING THE MIGHTY VATA - ONLINE COURSE NOW AVAILABLE What makes Ayurveda unique in its treatment approach is its practical wisdom on the concept of Vata. Vata is responsible for Prana - the life energy, nervous system - the master panel of our body, and our emotions. In Ayurveda, it is mentioned that controlling Vata is the most difficult part of healing and recovery. Recently I have recorded a workshop on - Balancing The Mighty Vata which has over 6 hrs of content, with notes filled with practical inputs that can be integrated into our life. You can access this at https://vigneshdevraj.com/balancing-the-mighty-vata/For further information about Dr Vignesh Devraj, kindly visit www.vigneshdevraj.com and www.sitaramretreat.com Instagram - @sitarambeachretreat | @vigneshdevrajTwitter - @VigneshDevrajWe truly hope you are enjoying our content. Want to help us shape and grow this show faster? Leave your review and subscribe to the podcast, so you'll never miss out on any new episodes. Thanks for your support.Disclaimer: - The content of the podcast episodes is not intended to be a substitute for professional medical procedures, consultations, diagnosis, or treatment in any manner. We strongly do not recommend using the content of these episodes as medical advice for any medical conditions for you, others, or for treating your patients.(AI and humanity, AI future, future of AI, ChatGPT mental health, AI mental health, AI therapy, AI CBT, generative AI, GPT5, GPT-5, AI education, AI learning, AI parenting, AI and children, AI and emotions, AI wellbeing, AI psychology, AI for self improvement, AI future of work, AI jobs automation, AI coding, AI creativity, AI spirituality, Dr Vignesh Devraj, Ayurvedic Healing and Beyond podcast, Krishnakumar AI, India AI podcast, AI consciousness)

This month we're chatting with Giulia Trojano about AI as an economic narrative, companion chatbots, deskilling of digital literacy, chatbot parental controls, differences between social AI and general AI services, increasing surveillance in the guise of safety, advertising creeping into GenAI services, ReplikaAI, lack of research in emotional AI, techno-determinism, and more...

Live from the iconic Venetian in Las Vegas, we're rolling out an exclusive mini-series dedicated to AWS re:Invent 2025!Tune in as we sit down with AWS visionaries and take the pulse of the industry on everything shaping the future, Cloud innovation, GenAI, Agents, and the hottest trends making waves. And because what happens in Vegas doesn't always stay in Vegas, we'll spill the latest news, insider buzz, and a little Strip-side gossip to keep things spicy. Dave, Esmee, and Rob start their conversation with Chandra Pinapala, Director Global Strategic Partners, to explore why strong partnerships are essential for success in Cloud and AI. TLDR00:40 – Back in Las Vegas with highlights from the AWS re:Invent 2025 keynote12:07 – Meet Chandra Pinapala and dive deep into the conversation35:10 – A playful leap into the world of fiction GuestChandra Pinapala: https://www.linkedin.com/in/chandrapinapala/ HostsDave Chapman:  https://www.linkedin.com/in/chapmandr/Esmee van de Giessen:  https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan:  https://www.linkedin.com/in/rob-kernahan/ ProductionMarcel van der Burg:  https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman:  https://www.linkedin.com/in/chapmandr/ SoundBen Corbett:  https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:   https://www.linkedin.com/in/louis-corbett-087250264/ 'Cloud Realities' is an original podcast from Capgemini

Live from the iconic Venetian in Las Vegas, we're rolling out an exclusive mini-series dedicated to AWS re:Invent 2025!Tune in as we sit down with AWS visionaries and take the pulse of the industry on everything shaping the future, Cloud innovation, GenAI, Agents, and the hottest trends making waves.And because what happens in Vegas doesn't always stay in Vegas, we'll spill the latest news, insider buzz, and a little Strip-side gossip to keep things spicy. Dave, Esmee, and Rob continue their conversation with Tim Murnin, Head of Industry & Partner Strategy at AWS, exploring the evolving role of the CIO, adoption delays, and how trends vary across different sectors. TLDR00:36 – Welcome back with Tim Murnin and the team's highlights from the AWS re:Invent 2025 keynote08:04 – In-depth conversation with Tim, exploring key insights32:05 – Where fact meets fiction, including a look at the flying carGuestTim Murnin: https://www.linkedin.com/in/timmurnin/ HostsDave Chapman:  https://www.linkedin.com/in/chapmandr/Esmee van de Giessen:  https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan:  https://www.linkedin.com/in/rob-kernahan/ ProductionMarcel van der Burg:  https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman:  https://www.linkedin.com/in/chapmandr/ SoundBen Corbett:  https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:   https://www.linkedin.com/in/louis-corbett-087250264/ 'Cloud Realities' is an original podcast from Capgemini

You've been lied to about AI.

In this episode of Clover, I sit down with the brilliant and wildly accomplished Tina Sharkey for a conversation that honestly feels like three masterclasses in one: community-building, career design, and the future of human connection in an AI-driven world.Tina walks me through her very non-linear career path—from hanging out in her mom's New York fashion office as a teen, to an unexpected pivot into tech and investing, to co-founding iVillage, bringing Sesame Street online, scaling BabyCenter globally at Johnson & Johnson, and launching community-first CPG brand Brandless. Through it all, she shares how she's always brought the same “toolkit” with her: storytelling, community, curiosity, and a deep belief in creating products and experiences with people, not just for them.We also dig into her current work at USC, where she's teaching and backing Gen Z founders, experimenting with GenAI in the classroom, and thinking deeply about what makes us “divinely human” in a world of powerful machines. Tina is both optimistic and clear-eyed: AI can unlock a new kind of renaissance—but only if we protect literacy, critical thinking, and real human connection. And for women in leadership, she shares some tough-love truths about putting your hand up before you feel “ready,” finding hidden doors, and making your career a relay race—not a solo sprint.Conversation highlights:From fashion floors to technology boardrooms How growing up with a single, career-focused mom in New York's fashion world gave Tina early exposure to women in leadership—and how one moment in an investor's office completely rerouted her from fashion into tech, media, and investing.Inventing “social media” before it had a name Tina shares the early days of iVillage, why chat rooms and message boards were so revolutionary, and how she coined the term social media to explain this new kind of community-driven content to advertisers and partners.Building iconic brands through community We walk through her roles bringing Sesame Street onto the internet, scaling BabyCenter into a global platform (including the birth clubs so many of us relied on), and designing Brandless as a community-led, access-first CPG brand.Serendipity, hidden doors, and saying yes Tina talks about the role of serendipity—from chance meetings in offices and delis to unexpected board roles—and how being open, curious, and willing to ask respectful questions has shaped every major career inflection point.Humanity as our moat around the machines Tina shares her framework for thinking about AI: why she uses it as a collaborator, not a replacement, and why our empathy, soul, and lived experience are the “moat” that machines can't cross.Gen Z, consciousness, and going “punk” on attention From her vantage point teaching at USC, she talks about how Gen Z is already pushing back on screen addiction, what excites her about their creativity, and why reclaiming our own consciousness is non-negotiable in an AI world.Literacy, equity, and the stakes of this moment Tina opens up about the crisis of literacy in the U.S., how reading levels are tied to incarceration rates, and why democratizing access to education and healthcare is a core part of her mission.Real talk for women in leadership We close with tactical guidance: stop waiting until you've “done the job” to go for it, bring your authentic self everywhere you go, surround yourself with people who are brilliant at what they do, and remember that careers are built in teams and relay races—not through hero moments.Connect with Tina on LinkedIn (her most active platform), Instagram,

30 listopada 2022 r. został publicznie uruchomiony ChatGPT. Od razu wywołał duże poruszenie, a potem wręcz lawinę innych modeli językowych i narzędzi generatywnej AI. Zatem gdzie po tych trzech latach jesteśmy na skali rewolucji AI? To dalej rewolucja, czy już bańka? Przyglądamy się, w jaki sposób AI przekształca wybrane branże - jednym dodając skrzydeł, a innym skrzydła podcinając. I w końcu sprawdzamy, jak zmieniło się nasze zachowanie pod wpływem wszechobecności narzędzi oraz treści AI. Czy potrafimy już odróżnić wideo wygenerowane przez AI od ludzkiej treści? Czy nauczyliśmy się, że AI koniecznie trzeba kontrolować i zawsze sprawdzać wyniki, jakie nam wypluje? GOŚCIE ODCINKA: - Dota Szymborska, doktora etyki UMCS, absolwentka etyki oraz socjologii na Uniwersytecie Warszawskim. Specjalizuje się w etyce GEN AI; - Michał "rysiek" Woźniak, specjalista ds. bezpieczeństwa informacji, współzałożyciel warszawskiego Hackerspace'a. Był dyrektorem ds. Bezpieczeństwa Informacji w Organized Crime and Corruption Reporting Project, konsorcjum ośrodków śledczych, mediów i dziennikarzy działających w Europie Wschodniej, na Kaukazie, w Azji Środkowej i Ameryce Środkowej; - Przemysław Dębiak, znany jako Psyho, mistrz kodowania, który w konkursie dla koderów pokonał sztuczną inteligencję; - dr hab. Tomasz Kajdanowicz z Politechniki Wrocławskiej, na której kieruje Katedrą Sztucznej Inteligencji. NA SKRÓTY: 07:38 Reklama Coca-Coli 14:42 Gdzie ta rewolucja? 17:41 Informatyka i programowanie 31:32 Koniec googlowania 35:55 Martwy internet 42:59 Wiarygodność 54:06 Co dalej? 01:09:58 Przyszłość ŹRÓDŁA: - Ile powstało LLM-ów: https://www.ibm.com/think/topics/large-language-models-list - Reklama Coca-Coli z 2024 r.: https://www.youtube.com/watch?v=IQWUKWM2JrQ - Reklama Coca-Coli z 2025 r.: https://www.youtube.com/watch?v=Yy6fByUmPuE - O ciężarówkach w reklamie Coca-Coli: https://www.businessinsider.com/coca-cola-ai-holiday-ad-glitches-highlight-ai-shortcomings-2025-11?IR=T - Raport McKinsey o wdrożeniach AI na świecie: https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai - Raport PIE o wdrożeniach AI w Polsce: https://pie.net.pl/z-ai-korzysta-mniej-niz-co-szosta-firma-w-polsce-a-pozostale-nie-planuja-jej-wdrazac/ - O tym, że 30 proc. kodu w Microsofcie pisze AI: https://www.cnbc.com/2025/04/29/satya-nadella-says-as-much-as-30percent-of-microsoft-code-is-written-by-ai.html - Wywiad z Psyho: https://wyborcza.biz/biznes/7,177150,32285683,co-to-znaczy-ze-ai-bedzie-lepsza-od-ludzi-kalkulator-jest.html - Raport o martwym internecie: https://www.imperva.com/blog/2025-imperva-bad-bot-report-how-ai-is-supercharging-the-bot-threat/ - O tym, jak Exdrog podchodził do przetargu: https://wyborcza.biz/biznes/7,177150,32358477,firmy-wpadaja-w-tarapaty-przez-ai-polska-spolka-stracila-kontrakt.html - OpenAI o halucynacjach: https://openai.com/index/why-language-models-hallucinate/ - archiwalne odcinki do odsłuchania: 130 i 134

L'Europe vit-elle son “moment mélien” numérique ?Sous pression, la Commission pourrait alléger ses règles digitales, au risque de sacrifier les valeurs qui fondent son modèle.Entre justice et rapport de force, l'épisode interroge : l'Europe doit-elle résister… ou céder pour survivre ?Philo Tech : la chronique philosophie de Trench Tech animée par Emmanuel Goffi.  ***** À PROPOS DE TRENCH TECH *****LE talkshow « Esprits Critiques pour Tech Ethique »Écoutez-nous sur toutes les plateformes de podcast

Claude Opus 4.5 has entered the Chat.

پارسا غفاری کارش را با ساختن AYLIEN شروع کرد؛ استارتاپی که از دوبلین تا نیویورک مشتری‌های بزرگ جذب کرد و در نهایت آن‌قدر رشد کرد که در سال ۲۰۲۳ توسط Quantexa خریداری شد. همین مسیر او را به رهبری نوآوری محصول در Quantexa رساند، جایی که روی پروژه‌های جسورانه و استراتژی GenAI شرکت کار می‌کرد. حالا پارسا به‌عنوان مدیرعامل 2075.ai دوباره به مسیر کارآفرینی برگشته و روی ساخت نسل بعدی محصولات هوش مصنوعی تمرکز دارد. داستان او ترکیبی از پشتکار، نوآوری و تجربه عمیق در ساخت کسب‌وکارهای مبتنی بر AI است—روایتی که شنیدنش برای هرکسی که به آینده تکنولوژی و کارآفرینی علاقه دارد، جذاب خواهد بود.00:00 شروع داستان AYLIEN و موج پیشنهادهای خرید14:35 مسیر ساخت AYLIEN؛ از ایده تا محصول و اولین مشتری‌ها28:10 تصمیم برای فروش؛ پشت‌صحنه ادغام با Quantexa42:20 فرهنگ تیم، رهبری محصول و چالش‌های مقیاس‌دهی58:05 نقش پارسا در Quantexa و شکل‌دادن به استراتژی GenAI01:14:40 تجربه‌های شخصی، درس‌ها و اشتباهات در مسیر کارآفرینی01:31:50 شروع 2075.ai و نگاه پارسا به آینده هوش مصنوعیParsa Ghaffari is a seasoned entrepreneur, AI innovator, and product leader with a strong track record in building and scaling AI-powered businesses. He is currently the CEO of 2075.ai, where he is focused on creating next-generation AI products and shaping the future of intelligent systems. Previously, Parsa founded AYLIEN, a pioneering NLP and news intelligence company that served global enterprises and was acquired by Quantexa in 2023. Following the acquisition, he led Product Innovation at Quantexa, driving disruptive AI initiatives, co-leading the company's GenAI strategy, and advising the executive team and board on innovation.حامیان این قسمت: لیموهاست. سرویس قابل‌اعتماد برای سرور و دامنه که خیلی از استارتاپ‌ها و کسب‌وکارهای آنلاین ایرانی ازش استفاده می‌کنن.https://limoo.hostصرافی والکس – پلتفرم امن و پیشرو خرید و فروش ارز دیجیتالhttps://wallex.irTabaghe 16

Im Insurance Monday Podcast widmet sich Host Alexander Bernert gemeinsam mit seinen Gästen dem spannenden Thema Bestandsmigration in der Lebensversicherung – der sogenannten „Königsdisziplin“ im Bestandsmanagement. Mit dabei sind Dr. Nils Rautenberg vom HDI, Claudia Schmidt von Beltios sowie Axel Kotulla von msg, die ihre vielseitigen Perspektiven einbringen: vom Aktuariat über IT und Consulting bis zum Konzernblick.Im Zentrum der Diskussion steht die Frage, wie Generative AI (GenAI) die Migration von Lebensversicherungsbeständen nicht nur beschleunigen, sondern echte Bottlenecks auflösen kann. Die Runde beleuchtet, aus welchen Gründen Migration überhaupt nötig wird, welche Herausforderungen bei Daten, Rechenkern und der Vielfalt der Tarife bestehen, und wo GenAI heute schon realistisch helfen kann – beispielsweise im Wissensmanagement, bei der Analyse von Altdokumentationen und im Testprozess.Neben fachlichen Einblicken teilen die Gäste auch persönliche Anekdoten, diskutieren die Abgrenzung zwischen regulierten und deregulierten Verträgen und wagen einen Ausblick, wie Migration und KI die Versicherungswelt in den nächsten Jahren verändern könnten.Freut euch auf eine abwechslungsreiche Debatte mit viel Erfahrung, Leidenschaft für moderne Technologien und dem einen oder anderen augenzwinkernden Famous Last Word!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!

Les artistes y comprennent-ils quelque chose à l'IA ?Oui, évidemment. Il existe même certains pionniers qui mobilisent l'intelligence artificielle depuis les années 90s comme Anna Ridler ou encore Mario Klingemann.Mais aujourd'hui, la plupart des autres artistes semblent encore découvrir l'outil. Son potentiel, et ses limites.Mais au-delà de l'IA comme outil d'aide à la production, ou à l'inspiration, quel rapport l'artiste entretient-il à la machine ?

In this week's episode of Open Tech Talks, host Kashif Manzoor takes you through a convenient, real-world guide to building your first AI workflow, even if you are not technical. After last week's conversation (Episode 175) with Rose G. Loops on Ethical AI, Human Safety & AI Identity Protection, this episode returns to the foundations of GenAI adoption for professionals and enterprise teams. It also continues the learning from Episode 173, How GenAI Is Changing Every Career. Most people know how to write a prompt. Very few know how to connect AI to their real work. This episode solves that gap. Kashif breaks down the entire concept of an AI workflow into four simple building blocks: trigger → input → AI processing → action, and shows how ANY professional can build practical, repeatable workflows using ChatGPT, OCI Gen AI, Claude, Gemini, and more. You'll also hear four real enterprise examples from sales, finance, customer support, and legal, across industries. These examples are practical, repeatable, and immediately usable for working professionals, leaders, and teams starting their GenAI adoption journey. What You Will Learn in This Episode By the end of the episode, listeners will be able to: Understand exactly what an AI workflow is (with a simple formula) Identify the four components every workflow needs Choose the right triggers, inputs, and context for reliable AI output Use LLMs for summarization, classification, analysis, forecasting, and writing Turn repetitive tasks into automated workflows using No-Code tools Understand enterprise considerations: privacy, compliance, cost, integration Build a complete workflow using input → AI → output Apply AI to real departments: sales, finance, legal, customer support Start building repeatable AI processes that improve productivity every week Resources:  Starter AI workflow Library

We explore the adage “If you fail to plan, you plan to fail” with two leaders who are redefining how organizations safeguard their clients and scale strategic services. Jesse Miller—Founder of PowerPSA Consulting and creator of the PowerGRYD vCISO System—shares how “cracking the code” starts with asking the right questions, learning from your best customers, and building value pillars that simplify focus and accelerate growth. His message is clear: you don't need to sell, you need to provide value, and the next best thing to “yes” is a fast “no.” We then shift to cyber crisis readiness with Noam Morginstin, CEO & Co-Founder of Exigence, who emphasizes that incident response cannot live in a static document. Leaders must plan, practice, and continuously evolve their ability to prevail when breaches occur. From automated runbooks to GenAI-powered response agents, Noam outlines the importance of helping teams and organizations prepare for the inevitable and confidently navigate high-pressure situations. Highlights include: Build two buckets of value pillars to scale your vCISO services effectively. “Focus is your friend”—eliminate complexity and create clarity. Incident response must move beyond Word docs to a dynamic, actionable SaaS system. “Plan, Practice, Prevail”—a three-step mindset for crisis and cyber-incident readiness. Leveraging GenAI agents to enhance prevention, detection, and coordinated response.   Timestamps: 01:12 – Part 1: Jesse Miller 30:25 – Part 2: Noam Morginstin   --- more --- If you want to master the art of audience engagement while learning how to conquer speaking anxiety, deliver persuasive presentations, and close more deals, this is the program for you. Twins Talk It Up is hosted by identical twin brothers Danny Suk Brown and David Suk Brown, who share leadership communication strategies designed to help professionals embrace the power of their authentic voice. Together, we'll explore tips and tools to unlock the full potential of your voice, dominate every stage you step onto, and elevate your influence and value. Along the way, we'll crush goals and share plenty of laughs. Book a Free 15-minute discovery call: dsbleadershipgroup.com/schedule-a-call/ Website: appmeetup.com/twinstalkitup/ Community: facebook.com/groups/publicspeakingpoints Patreon: patreon.com/twinstalkitup

Host Matt Fisher talks to Dr. Matt Crowson, AI/Generate AI Product Leader at Wolters Kluwer, about background on AI and different subsets of AI; diversifying means of developing and training AI; unique healthcare challenges for AI; considerations for engendering trust in AI for healthcare; focus on beneficial use cases and avoiding hype in healthcare To stream our Station live 24/7 visit www.HealthcareNOWRadio.com or ask your Smart Device to “….Play Healthcare NOW Radio”. Find all of our network podcasts on your favorite podcast platforms and be sure to subscribe and like us. Learn more at www.healthcarenowradio.com/listen

- In a support document spotted by 9to5Google, Google notes free users can currently generate two images daily, down from three per day previously. The company wrote: "Image generation and editing is in high demand. Limits may change frequently and will reset daily." -The agency's director, John Squires, said in a notice obtained by Reuters that the USPTO deems genAI to be "analogous" to other tools that inventors might use in their process, including lab equipment, software and research databases. Squires wrote: "AI systems, including generative AI and other computational models, are instruments used by human inventors. They may provide services and generate ideas, but they remain tools used by the human inventor who conceived the claimed invention." -Alibaba's Quark AI glasses are now available for purchase in China. The company has released three variants of the flagship S1 model and three of the more affordable G1 model. They both connect to Alibaba's newly launched App, powered by the company's own AI tech, for AI assistance through voice commands and touch controls. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Xociety and Arise release their first public playables, MapleStory burns $1.7 million tokens and we talk generative AI. [0:30] Ndus has raised $1.6 million for its pop extractor shooter Xociety, which hits also early access. [10:00] Cross The Ages has launched its PC RPG Arise into open alpha. [18:54] "It's like juggling an elephant and a crocodile. If it works, absolutely amazing."[21:36] Nexpace will burn $1.7 million NXPC in the first of its planned quarterly token burns.[27:32] Hytopia has had 1 million downloads on Google Play store.[29:47] JC Kim was on the podcast talking about genAI game-making platform Verse8.[37:10] Should games be hand-built like luxury shoes or watches? Rant over.

YouTube tests a new custom feed just like Instagram and TikTok, Shorts AI Creation Tools get updates, and I experiment with speeding up Lauren to see if that helps. Also the Head of Instagram stops by to explain that reposting your own content to Feed really won't do much, and the team at TikTok shares some stats around using Creators to make content for brands. After the music, I do Wednesday Waffle talking about a book I read recently. Links:YouTube: Testing "Your Custom Feed" (Google Support: YouTube)YouTube: New Communities Features, Expansion of Shorts AI Creation Tools, and Handles Update! (YouTube)Instagram: Does Reposting Your Content To Feed Help? (Instagram)TikTok: The Creator Advantage: How creators drive real brand impact on TikTok (TikTok)TikTok: TikTok One - Creative Academy Videos (TikTok) Wednesday Waffle:Book: Wrong Place, Wrong Time - Gillian McAllister (Amazon) Transcript: Daniel Hill: Welcome to the Instagram stories for Wednesday, November 26th. I'm your host, Daniel Hill. There is a lot of social media news to talk about today. The YouTube team has expanded their shorts AI creation tools. The head of Instagram explains whether or not it's worth it to repost your own posts and if that'll help you get more engagement. The team at TikTok shares some data explaining why it's so important to work with creators if you're a business and how that can drive brand impact. for your business. We'll get into that along with some video guides that the TikTok team has made to help you make better content. And after all the social media news, I will do a Wednesday waffle where I talk about a topic that may or may not be related to social media. All of that and more on today's episode. But first, here's a quick word from our sponsors. Welcome back. Let's start with the YouTube news. Before we dive in, a little bit of context. I've been talking on the show recently about how Instagram is going to allow you to customize what you see in your for you feed based on what you are personally interested in and you can pick which topics you're interested in, which ones you're not. Tik Tok has had that for a long time. There are sliders that you can move to indicate which kinds of content you want to see more or less of. And they recently added the ability to adjust what level of AI content you see in your feed. Now, YouTube is copying that and they shared yesterday that they are testing something called your custom feed. They say, quote, "We're experimenting presenting with a new feature called your custom feed that lets you customize recommendations for your home feed. If you are part of the experiment, you will see your custom feed appear on your homepage as a chip beside home. When you click into it, you can update your existing home feed recommendations by entering a single prompt. This feature is designed to give you an easy to use way to have more control over your suggested content. If you see it, check it out and share your feedback". I will link to this post in the show notes so that you can see it for yourself. All right, moving on. Since we're already talking about YouTube news, let's move to Lauren from the YouTube Creator Insider team with her updates talking about how the Shorts AI creation tools are being expanded and an update to the way YouTube handles channel names versus handles. Here's the clip from Lauren. Uh, one quick thing before I play the clip. I was reading the feedback that I got about the show and some of you mentioned that Lauren's updates can drag on a little bit and I agree. So, I'm going to experiment with speeding up Lauren just a little bit. Hopefully, it's enough that it goes faster and you don't feel like Lauren's dragging, but you can still catch what she's saying.Lauren: What's up, insiders? I'm Lauren, a program manager working on our product team here at YouTube and the producer of Creator Insider. Up until now, channel names were used as the identifier for channels across live chat and channel memberships on main and YouTube studio. Now, a creator's handle will be shown across these services as their identifier. For moderators of live chat, you can still navigate to a user's channel by tapping on their handle. Let us know if you have any questions. In June, we talked about new AI powered shorts creation tools. If you missed the update, we'll leave more information in the description. We're happy to share that we're expanding standalone clips, green screen backgrounds, AI playground, and phototovideo to new markets around the world for creators with their YouTube language settings set to English. We're also leveling up the photo to video experience with new prompt capabilities. Now you can create a prompt from scratch, watch your memories come to life, and even add speech to give your video a voice. We're also introducing new Genai effects that transform your sketches into captivating videos powered by VO. These effects are now available globally. Additionally, speech to song and the ability to add lyrics and vocals in Dream Track are now available to creators in the US. These features will be rolling out this month and we'll keep you posted as we add new features. We're also bringing the power of Google DeepMind's V3 model to shorts, available for everyone on mobile. This upgrade from V2 lets you create videos up to 8 seconds long, previously six, now with synchronized sound effects, ambient audio, and speech. We'll leave more info below. Next, updates for communities. If you're still on the fence about enabling communities, an internal experiment in early September 2025 found that channels with YouTube communities enabled saw on average an increase in post impressions and likes on their channel.Daniel Hill: Okay, I'm going to stop it there because the rest of the update is about communities and I don't think it's very interesting. But if you do want to check out the whole post, I will link to it in the show notes so you can watch it for yourself. Hopefully the increased speed with which Lauren explained those things still let you understand what was going on and hopefully kept her a little bit more brief than usual. Okay, now let's move on to the Instagram section, the head of Instagram answered the question about whether or not reposting your content in your own feed does anything. So, you have the opportunity to share content that you've made from your feed to your story, for instance, but now you can also repost it to your feed. If you posted a piece of content and it didn't really do that well, it might be tempting to repost it to your feed so that your followers have another chance to see it. The head of Instagram explains it's not really worth it to do that. Here's the clip.Adam Mosseri: Since we launched reposts a couple months ago. I get the question a lot. Should I repost my own content? And you can. It might help a little bit on the margins, but it's not going to meaningfully change the amount of reach that you get. If you want to try and help your post go a little bit farther, I'd recommend instead going into the comments, responding to some people, liking some comments, and interacting with the people who've taken the time to actually like or comment on your post. This will help more than just reposting something that you've already posted. But I understand why people try. And this not going to hurt you to do so, but it's not going to actually help. So, I wanted to answer that question definitively once and for all. Hopefully, this helps later.Daniel Hill: So, there you have it. Not really worth a lot of time and energy. We're going to take a quick break. When we come back, some information from the Tik Tok team about how creators can help to drive impact for brands and additionally some videos from the Tik Tok team helping you to make better content. Stick around. Welcome back. Let's continue with the Tik Tok news. The team at Tik Tok made a long blog post sharing some data about how much creators making content and having brands push that content can impact the business that the brand does as opposed to the brand just making content on their own or hiring a marketing company. The importance of this cannot be understated because the content comes across as more authentic. They share some stats explaining that creator ads meaning an ad that is based on a piece of content that a creator made that creator ad can drive a 70% higher click-through rate and 159% higher engagement rate than noncreator ads. Okay, so why such a big difference? Three main reasons. First, when creators are making content, they're doing it through the lens of Tik Tok culture. They're familiar with the platform, not from the perspective of trying to sell a product or service, but rather just being familiar with the community. Additionally, creators can make a lot of good content very quickly. We are all used to sitting down to come up with an idea of something that we think could potentially work, coming up with what we need in order to make that piece of content, whether it's a script, finding a location, then filming it, editing it, and publishing it, and doing that for ourselves. So, when brands are working with creators, they're tapping into this system that we are all doing all the time. Anyway, another key thing to remember is that when brands partner with creators, the Those creators have a wide variety of different voices, skill sets, things they bring to the table, all of which appeal to different people. So, it does make sense to partner with a wide variety of creators. The third reason that this is so effective is because people already follow these creators. They liked them enough to follow them. When a creator makes a piece of content about a brand or product or service and posts it to their account, it comes across more authentically because it is not coming from the advertiser's account. According to a study from the TikTok team, ads posted to a creator's account have a 59% higher engagement rate and a 16% higher 6second viewthrough rate than those that are not posted directly to the creator's account. So, it's worth it to do this. There's more stats and strategy in this blog post, which I will link to, but I also uncovered something called TikTok 1, which is a creative academy to help you make better content on TikTok. I will play a short snippet of one of the videos that I found on there so you can get an idea of what this is all about.Unknown Speaker (from TikTok 1 Clip): This video is about TikTok creative best practices. Good creative is imperative for successful ad campaign. There are some essential guidelines you must follow in order to set yourself up for that success. These include video duration, design elements, safe zone, and video formats. Today we're talking creative codes. Six secrets to help you decode TikTok's creative potential. And what better place to start then code number one Tik Tok first. So when we say TikTok first, what do we mean? Going TikTok first means creating natural feeling TikTok content that's authentic to the platform. Feeling authentic to the for you page is as simple as taking cues from the content you love. How can you make content that feels organic to the for you page? Here are some quick tips that will help you look right at home on TikTok. Start simple. From filming at a professional shoot to filming on your phone, you can execute your ideas in the way that works for you. Go 9x6. This is a platform where vertical video thrives. Frame your content accordingly. Shoot high-res. Whether you use high-end software or smartphone technology, create video content that is clear and crisp.Daniel Hill: Okay, I'm going to stop the clip there. You get the idea. If you want to watch the rest of this video series, which I actually think is very good, I will link to it in the show notes. Be sure to check it out for yourself. That is it for today's news. If you would like to hear me do Wednesday waffle, which is where I talk about another topic that may or may not be related to social media. Stick around after the music.Music: Instagram news got you covered. Sometimes even TikTok relevant platforms in the metaverse. Ahead of the wave without a break or a pit stops waiting for Zuckerberg to give me the big job. Use trademarks and logos with instance permission. Of course, if you like the show and you gain some good info, maybe leave a review. It's a type of applause. Just drop me a message if you want to collab. If you got some good content or you want to run ads at @DanielHillMedia is where I am. TikTok, Facebook, at Instagram. All right, thank you for sticking around to hear me talk about something else. And now I would like to recommend a book. I don't think I did this previously on the show. I would like to recommend a book called Wrong Place, Wrong Time by Gillian McAllister. I would categorize this book as a thriller/time travel book. I don't like to normally recommend books because everyone likes different things in books. However, this book is excellent. I spend a lot of time reading books. I like to read a few minutes every night before I go to sleep, and this one really had me hooked. I was having trouble forcing myself actually to go to sleep. The ending ties together perfectly. I will link to this book in the show notes. Definitely check it out. Wrong place, Wrong Time by Gillian McAllister. If you like time travel, if you like science fiction, if you like thrillers, if you like any books that are a bit mysterious or suspenseful, I think you will like this. Find the link to the book in the show notes. And thank you for listening to me talk about something else other than social media for a minute.Sign Up for The Weekly Email Roundup: NewsletterLeave a Review: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Follow Me on Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@danielhillmedia⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Accelerating cloud adoption to drive innovation across domains like space, identity, and naval systems presents unique challenges. Success depends on aligning organizational culture, governance, financial models, and regulatory frameworks to enable collaboration, scalability, and software-defined capabilities.  This week, Dave, Esmee, and Rob speak with Danny Polaine, Chief Information Officer at Thales, about the strategic shift to cloud technologies in a high-security sector like defense and the unique challenges that come with it. TLDR:00:52 – Introduction to Danny Polaine03:35 – Rob is confused about the AI privacy dilemma07:40 – Exploring tech in high-security sectors with Danny35:34 – The biggest challenge isn't tech, it's people adapting to new ways of working44:55 – Reflections on the CIO role and a fun story about singing waiters at a wedding Guest Danny Polaine: https://www.linkedin.com/in/danny-polaine-5713454/?originalSubdomain=uk  HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/ ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/ SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:  https://www.linkedin.com/in/louis-corbett-087250264/ 'Cloud Realities' is an original podcast from Capgemini

"... best model in the world..."

Join The Full Nerd gang as they talk about the latest PC building news. In this episode the gang talks about Adam's recent trip to Intel's performance testing lab, Black Friday deals for PC parts, how generative AI is hitting game developers and much more. And of course we answer your questions live! Links: - Intel performance lab interview: https://youtu.be/t_AVj82ISwY - Gen AI in games: https://techraptor.net/gaming/features/examining-generative-ais-usage-in-steam-next-fest-2025 Join the PC related discussions and ask us questions on Discord: https://discord.gg/WWnEzTDhw Follow the crew on X and Bluesky: @AdamPMurray @BradChacos @MorphingBall @WillSmith ============= Read PCWorld! Website: http://www.pcworld.com Newsletter: http://www.pcworld.com/newsletters/signup =============

Evan Kaplan (@EvanKaplan, CEO @InfluxDB) talks about Physical AI and the evolving and emerging technologies required to bring AI to physical locations and activities. SHOW: 979SHOW TRANSCRIPT: The Cloudcast #979 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS" SPONSORS:[Interconnected] Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. With expert guests and real-world insights, we explore the systems driving AI, automation, quantum, and more. Just search “Interconnected by Equinix”.[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcast[Mailtrap] Try Mailtrap for freeSHOW NOTES:InfluxData homepageEvan on The Cloudcast #394SpaceNews article on Time Series and AI in SpaceTime Series is critical to Physical AITopic 1 - Welcome back to the show, Evan. Give everyone a brief introduction.Topic 2 - We last spoke in 2019, and our goal with that show was to give everyone an introduction to time series databases. There's a link in the show notes for those who want to go back and get a refresher. But, if folks aren't up to speed, give everyone a quick definition of time series and its impacts in recent yearsTopic 3 - First, we need to discuss Physical AI. What is Physical AI, and how is it different from, say, GenAI or Agentic AI? It seems that AI in the mainstream equates LLMs with AI, but that isn't correct. We are talking about deterministic AI, not probabilistic solutions. Can you explain to everyone the difference and why it matters?Topic 4 - Why is the concept of time series so crucial to Physical AI? Additionally, you provided a great analogy comparing time series data collection to low-resolution and high-resolution images. Can you explain to everyone why this is so important?Topic 5 - Let's talk about some use cases. How and where does this intersection of Physical AI and time series impact organizations the most? Is this specific to certain industries (robotics, aerospace, IoT, etc.) or specific collection mechanisms (telemetry, sensor data, etc.)Topic 6 - Are we shifting with AI to a state that is less reactive and more proactive with an active intelligence?Topic 7 - What kind of demands do real-time, modern workflows and data streaming place on the infrastructure? When I think of time series, I think of real-time data, which means ultra-low latency and processing near the source, among other things. FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

Jon Jordan talk to Verse8 creator JC Kim about the genAI game-making platform, which is now live for professionals and noobs. [3:15] How JC Kim first met Delabs' co-CEO James Joonmo Kwon as a mentor.[6:05] Why JC Kim started work on a generative AI game-making tool, which became Verse8.[7:20] Verse8 includes coding, 2D image generation, background music and 3D model generation.[8:10] The game sector's biggest issue is production costs. GenAI reduces this by 90%.[10:06] This means developers can try more ideas and be more [10:20] This is particularly important for web3 developers who want to rewards players with tokens. [11:56] Using AI, anyone can make mini-games and apps around an IP, which enables real community.[15:53] One element of Verse8 is the ability for users to recast or "spin" existing games.[19:15] Verse8 can generate a complete multiplayer game for around $10-$20. [21:50] Verse8 can suppport both professional game devs and inexperienced users (kids!).[28:35] Creators can also choose to launch tokens, effectively memecoins.[31:45] Delabs Games is already using Verse8 to develop new titles.

Even if you've banned AI, your employees are 100% using it.

This week's podcast is about estimating the costs of providing GenAI products and services. And this is changing.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.My approach to assessing GenAI operating costs is the below checklist.What is the cost of compute, including energy and cooling? Initial cost vs. ongoing?The core compute is going to drive a lot of the costs. Especially if you are using an AI cloud service provider. If you have a downloaded open-source model, then it's mostly the initial cost.These compute costs dependent on the requirements of the AI workloads:The compute requirementsThe timing requirementsThe memory requirementsWhat is the cost of creating and maintaining the desired correctness over time?How accurate and correct you need the foundation model to be is a big deal. And this factor determines how much of the operations are done by software versus humans. It can make the costs of GenAI products look a lot more like services than traditional software.My main questions are:How much does correctness matter? What level of correctness does the product need to compete? What is the cost of inaccuracy?How does correctness change over time? Is it stable and flat lining, advancing, naturally changing or deteriorating?How much of a long tail is there in the domain? Is the long tail a liability or a benefit?How much of the process is iterative? How much are humans in the loop?What is the initial cost of training and getting to the desired level of correctness?What is the ongoing cost of inference at the desired level of correctness? How much are humans in the loop?What is the cost and frequency of fine tuning and/or retraining?What are the cost implications of increasing scale?What are the scale advantages vs. disadvantages?Does the Jevon paradox apply? --------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

The latest episode of Absolute AppSec is here, with Ken Johnson and Seth Law checking in during the busy Q4 holiday season to share some fascinating insights on the evolving landscape of security and technology. They kick off by reflecting on their intensive, ever-changing "Harnessing LLMs for Application Security" courses, noting how rapidly the underlying tech evolves. The conversation quickly turns to a compelling debate: How will the rise of generative AI impact career paths for newcomers, especially given that LLMs fundamentally rely on the contributions of existing experts? While pathways may change, they agree that core human activities—like networking, contributing to projects, and maintaining a hacker mindset—will remain crucial. The hosts then dive into a fascinating discussion on the darker side of SEO, introducing the concept of Generative AI Engine Optimization (GEO), where marketers exploit AI search results through tricks like keyword-stuffed files to game rankings. They tie this to historical examples of exploitation, harkening back to Google hacking days. Finally, they cover the recent Shai Hulud 2 supply chain attack, which infected hundreds of NPM packages and utilized even more sophisticated obfuscation and delayed execution tactics than its predecessor.

Wildest week in AI since December 2024.

Author Kate O'Neill's Book "What Matters Next": AI, Meaning, and Why We Can't Delegate Creativity | Redefining Society and Technology with Marco CiappelliKate O'Neill: https://www.koinsights.com/books/what-matters-next-book/Marco Ciappelli: https://www.marcociappelli.com/ When Kate O'Neill tells me that AI's most statistically probable outcome is actually its least meaningful one, I realize we're talking about something information theory has known for decades - but nobody's applying to the way we're using ChatGPT.She's a linguist who became a tech pioneer, one of Netflix's first hundred employees, someone who saw the first graphical web browser and got chills knowing everything was about to change. Her new book "What Matters Next" isn't another panic piece about AI or a blind celebration of automation. It's asking the question nobody seems to want to answer: what happens when we optimize for probability instead of meaning?I've been wrestling with this myself. The more I use AI tools for content, analysis, brainstorming - the more I notice something's missing. The creativity isn't there. It's brilliant for summarization, execution, repetitive tasks. But there's a flatness to it, a regression to the mean that strips away the very thing that makes human communication worth having.Kate puts it plainly: "There is nothing more human than meaning-making. From semantic meaning all the way out to the philosophical, cosmic worldview - what matters and why we're here."Every time we hit "generate" and just accept what the algorithm produces, we're choosing efficiency over meaning. We're delegating the creative process to a system optimized for statistical likelihood, not significance.She laughs when I tell her about my own paradox - that AI sometimes takes MORE time, not less. There's this old developer concept called "yak shaving," where you spend ten times longer writing a program to automate five steps instead of just doing them. But the real insight isn't about time management. It's about understanding the relationship between our thoughts and the tools we use to express them.In her book "What Matters Next," Kate's message is that we need to stay in the loop. Use AI for ugly first drafts, sure. Let it expedite workflow. But keep going back and forth, inserting yourself, bringing meaning and purpose back into the process. Otherwise, we create what she calls "garbage that none of us want to exist in the world with."I wrote recently about the paradox of learning when we rely entirely on machines. If AI only knows what we've done in the past, and we don't inject new meaning into that loop, it becomes closed. It's like doomscrolling through algorithms that only feed you what you already like - you never discover anything new, never grow, never challenge yourself.We're living in a Hybrid Analog Digital Society where these tools are unavoidable and genuinely powerful. The question isn't whether to use them. It's how to use them in ways that amplify human creativity rather than flatten it, that enhance meaning rather than optimize it away.The dominant narrative right now is efficiency, productivity, automation. But what if the real value isn't doing things faster - it's doing things that actually matter? Technology should serve humanity's purpose. Not the other way around. And that purpose can't be dictated by algorithms trained on statistical likelihood. It has to come from us, from the messy, unpredictable, meaningful work of being human.My Newsletter? Yes, of course, it is here: https://www.linkedin.com/newsletters/7079849705156870144/ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.