Podcasts about microsoft copilot

In episode #598 of the Lawyerist Podcast, learn how Microsoft Copilot can help lawyers work more efficiently inside Microsoft 365—without compromising accuracy, security, or client trust. Zack Glaser talks with Ben Schorr, innovation strategist at Affinity Consulting Group and former Microsoft insider, about how attorneys can move past AI hype and start using Copilot for real, everyday legal work.  Zack and Ben break down how Copilot helps lawyers draft and edit documents, summarize complex files, extract key deadlines, prep for meetings, and manage inbox overload—all while keeping client data protected within Microsoft's security framework. They clarify where Copilot delivers the most value, where caution is required, and why understanding its limitations is essential to using it effectively. For lawyers curious about AI but unsure where to begin, this episode offers a clear, realistic roadmap for adopting Copilot without compromising accuracy, ethics, or trust.  Listen to our other episodes on  AI, Legal Technology & Practical Innovation in Law Firms:   Rethinking Law Firm Growth in the Age of AI, with Sam Harden Apple | Spotify | LTN  Episode 550: Beyond Content: How AI Is Changing Law Firm Marketing, with Gyi Tsakalakis & Conrad Saam Apple | Spotify | LTN  Episode 543: AI Ethics: What Lawyers Need to Know, with Hilary Gerzhoy Apple | Spotify | LTN  Episode 497: Real Talk About Artificial Intelligence in Your Office, with Ben Schorr Apple | Spotify | LTN    Have thoughts about today's episode? Join the conversation on LinkedIn, Facebook, Instagram, and X!   If today's podcast resonates with you and you haven't read The Small Firm Roadmap Revisited yet, get the first chapter right now for free! Looking for help beyond the book? See if our coaching community is right for you.  Access more resources from Lawyerist at lawyerist.com.    Chapters / Timestamps:   00:00 – Introduction  08:43 – Meet Ben Schorr  11:08 – What Copilot Is (and Why Lawyers Care)  13:27 – Security, Privacy, and Client Data  16:47 – Drafting Legal Documents With Copilot  18:36 – Schorr's Law: Always Review AI Output  20:30 – Editing, Fact-Checking, and Improving Existing Work  23:57 – Summarizing Documents and Extracting Key Info  28:49 – Brainstorming, Personas, and Strategy Testing  34:34 – Agentic AI: What's Possible (and What Isn't)    

Dig through your junk drawer. That old iPod might actually be worth six figures. I'll tell you which models are selling for insane money. Plus, cybercrime costs less than Netflix (here's why), the story behind the Nano Banana name, and Microsoft Copilot's big evolution. Learn more about your ad choices. Visit megaphone.fm/adchoices

Cisco network gear fell over when it shouldn’t have, yet another security flaw is found in Microsoft Copilot, the US military is letting Grok into all its networks, and managing LVM snapshots. Plugs Support us on patreon and get an ad-free RSS feed with early episodes sometimes Unwrapping ZFS: Gifts from the Open Source Community A New Year, A New ZFS: What 2.4 Brings to the Table News Cisco routers knocked out due to Cloudflare DNS change Reprompt: The Single-Click Microsoft Copilot Attack that Silently Steals Your Personal Data Musk's AI tool Grok will be integrated into Pentagon networks, Hegseth says Free consulting We were asked about managing LVM snapshots. See our contact page for ways to get in touch.

Amir (Co-Founder at Humblytics) shares how he builds an “AI-native” company by focusing less on shiny tools and more on change management: assessing AI fluency across roles, setting the right success metrics, and creating shared context so AI can reliably ship work. The big theme is convergence—engineering, product, and design are collapsing into tighter loops thanks to tools like Cursor, MCP connectors, and Figma Make. Amir demos workflows like: AI-generated context files + auto-updated documentation, scraping customer domains to infer ICPs, turning screenshots into layered Figma designs, then converting Figma to working React code in minutes, and even running an “AI co-founder” Slack bot that files Linear tickets and can hand work to agents.Timestamps0:00 Introduction0:06 Amir's stance: “no AI experts” — it's constant learning in a fast-changing field.1:59 Cursor as the unlock: not just coding, but PM/strategy/design work via MCPs.4:17 The real problem: AI adoption is mostly change management + fluency assessment.5:18 The AI fluency rubric (helper → automator → augmentor → agentic) and why it matters.8:13 Cursor analytics: measuring AI-generated code and usage across the team.9:24 “New code is ~99% AI-generated” + how they keep quality via tight review + incremental changes.10:58 Docs workflow: GitBook connected to repo → AI edits docs and pushes live fast.14:02 ICP building: export Stripe customers → scrape domains with Firecrawl → cluster personas.17:45 Hallucination in the wild: AI misclassifies a company; human correction loop matters.34:43 Wild move: they often design in code and use an AI-generated style guide to stay consistent.38:10 Best demo: screenshot → Figma Make → layered design → Figma MCP → React code in minutes.45:29 “AI co-founder” Slack bot (Pixel): turns a bug report into a Linear ticket and can hand off to agents.48:46 Amir's wish list: we “solved dev”; now we need Cursor for marketing/sales → path to $1M ARR.Tools & technologies mentionedCursor — AI-first IDE used for coding and product/design/strategy workflows; includes team analytics.MCP (Model Context Protocol) — “connector” layer (Anthropic-origin) that lets LLMs interface with external tools/services.ChatGPT — used as a common baseline tool; discussed in the context of prompting practices and workflows.Microsoft Copilot — referenced via the law firm incentive story; used as an example of “usage metrics” gone wrong.Anthropic (AI fluency framework) — inspiration source for the helper/automator/augmentor/agentic rubric.GitBook — documentation platform connected to the repo so docs can be updated and published quickly.Firecrawl (MCP) — agentic web scraper used to analyze customer domains and infer ICP/personas.Stripe — source of customer export data (domains) to build ICP clustering.Figma — design collaboration tool; used here with Make + MCP to move from design → code.Figma Make — feature to recreate UI from an image/screenshot into editable, layered designs.Figma MCP — connector that allows Cursor/LLMs to pull Figma components/designs and generate code.React — front-end framework used in the demo for generating functional UI components.Supabase — mentioned as part of a sample stack when generating a PRD.React Router — mentioned as part of the sample stack in PRD generation.Slack — where Amir runs internal agents (including the “AI co-founder” bot).Linear — project management tool used for creating tickets from Slack/agent workflows.CI/CD — their deployment/review pipeline; emphasized as the human accountability layer.Subscribe at⁠ thisnewway.com⁠ to get the step-by-step playbooks, tools, and workflows.

Cisco network gear fell over when it shouldn’t have, yet another security flaw is found in Microsoft Copilot, the US military is letting Grok into all its networks, and managing LVM snapshots. Plugs Support us on patreon and get an ad-free RSS feed with early episodes sometimes Unwrapping ZFS: Gifts from the Open Source Community A New Year, A New ZFS: What 2.4 Brings to the Table News Cisco routers knocked out due to Cloudflare DNS change Reprompt: The Single-Click Microsoft Copilot Attack that Silently Steals Your Personal Data Musk's AI tool Grok will be integrated into Pentagon networks, Hegseth says Free consulting We were asked about managing LVM snapshots. See our contact page for ways to get in touch.

Get featured on the show by leaving us a Voice Mail: https://bit.ly/MIPVM  Discover how organisations are building practical AI capability with Microsoft Copilot, Zero Trust, and robust data security. Learn actionable strategies for readiness, compliance, and continuous professional development in a rapidly evolving tech landscape featuring insights from Sam Brazier-Hollins.

In this first episode of Future Finance for 2026, hosts Paul Barnhurst and Glenn Hopper take time to reflect on how AI actually showed up in finance over the past year, and what that means going forward. Without a guest, the conversation focuses on real experiences, observations, and lessons from working directly with finance teams, CFOs, and operators who are navigating AI adoption day to day.Paul and Glenn discuss how individuals have become far more comfortable using AI tools in their own work, while companies as a whole have moved much more slowly. Topics include ongoing data quality problems, hesitation around governance and security, and why many organizations still struggle to integrate AI into core systems and workflows. They also share their thoughts on notable developments from 2025, including OpenAI's shift toward consumer use, Microsoft Copilot's mixed results, Google Gemini's rapid improvement, and Nvidia's continued growth.In this episode, you will discover:How AI adoption differs between individuals and organizationsWhy poor data quality still limits many finance teamsWhat recent changes from OpenAI, Microsoft, Google, and Nvidia suggestWhere Microsoft Copilot works well today and where it falls shortWhy automation and basic app-building are becoming more importantPaul and Glenn share concrete examples from Excel, Outlook, reporting, and close processes. They also emphasize that banning AI use is no longer realistic and that clear guidelines matter more than strict restrictions.Join hosts Glenn and Paul as they unravel the complexities of AI in finance.Follow Glenn:LinkedIn: https://www.linkedin.com/in/gbhopperiiiFollow Paul:LinkedIn - https://www.linkedin.com/in/thefpandaguyFollow QFlow.AI:Website - https://bit.ly/4i1EkjgFuture Finance is sponsored by QFlow.ai, the strategic finance platform solving the toughest part of planning and analysis: B2B revenue. Align sales, marketing, and finance, speed up decision-making, and lock in accountability with QFlow.ai. Stay tuned for a deeper understanding of how AI is shaping the future of finance and what it means for businesses and individuals alike.In Today's Episode:[02:47] – How Individuals vs. Companies Used AI in 2025[06:12] – OpenAI, Monetization, and Market Signals[09:27] – Google Gemini's Turnaround[15:56] – Big Models vs. Specialized Tools[21:21] – Consumer AI and Platform Control[26:26] – Real Copilot Use Cases in Excel[35:28] – What Finance Professionals Should Focus on in 2026[39:31] – What Finance Leaders Need to Do Now[41:45] – Automation, Vibe Coding, and What's Next[43:07] – Final Thoughts and Closing

In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss analyzing survey data using generative artificial intelligence tools. You will discover how to use new AI functions embedded in spreadsheets to code hundreds of open-ended survey responses instantly. You’ll learn the exact prompts needed to perform complex topic clustering and sentiment analysis without writing any custom software. You will understand why establishing a calibrated, known good dataset is essential before trusting any automated qualitative data analysis. You’ll find out the overwhelming trend in digital marketing content that will shape future strategies for growing your business. Watch now to revolutionize how you transform raw feedback into powerful strategy! Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-processing-survey-data-with-generative-ai.mp3 Download the MP3 audio here. Need help with your company’s data and analytics? Let us know! Join our free Slack group for marketers interested in analytics! [podcastsponsor] Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode. Christopher S. Penn: In this week’s In Ear Insights, let’s talk about surveys and processing survey data. Now, this is something that we’ve talked about. Gosh, I think since the founding of the company, we’ve been doing surveys of some kind. And Katie, you and I have been running surveys of some form since we started working together 11 years ago because something that the old PR agency used to do a ton of—not necessarily well, but they used to do it well. Katie Robbert: When they asked us to participate, it would go well. Christopher S. Penn: Yes, exactly. Christopher S. Penn: And this week we’re talking about how do you approach survey analysis in the age of generative AI where it is everywhere now. And so this morning you discovered something completely new and different. Katie Robbert: Well, I mean, I discovered it via you, so credit where credit is due. But for those who don’t know, we have been a little delinquent in getting it out. But we typically run a one-question survey every quarter that just, it helps us get a good understanding of where our audience is, where people’s heads are at. Because the worst thing you can possibly do as business owners, as marketers, as professionals, is make assumptions about what people want. And that’s something that Chris and I work very hard to make sure we’re not doing. And so one of the best ways to do that is just to ask people. We’re a small company, so we don’t have the resources unfortunately to hold a lot of one-on-one meetings. But what we can do is ask questions virtually. And that’s what we did. So we put out a one-question survey. And in the survey, the question was around if you could pick a topic to deep dive on in 2026 to learn about, what would it be. Now keep in mind, I didn’t say about AI or about marketing because that’s where—and Chris was sort of alluding to—surveys go wrong. When we worked at the old shop, the problem was that people would present us with, “and this is the headline that my client wants to promote.” So how do we run a survey around it? Without going too far in the weeds, that’s called bias, and that’s bad. Bias equals bad. You don’t want to lead with what you want people to respond with. All of that being said, we’ve gotten almost 400 responses over the weekend, which is a fantastic number of responses. That gives us a lot of data to work with. But now we have to do something with it. What Chris discovered and then shared with me, which I’m very excited about, is you don’t have to code anything to do this. There were and there still are a lot of data analysis platforms for market research data, which is essentially what this is for: unstructured, qualitative, sentence structured data, which is really hard to work with if you don’t know what you’re looking for. And the more you have of it, the harder it is to figure out where the trends are. But now people are probably thinking, “oh, I just bring it into generative AI and say, summarize this for me.” Well, that’s not good enough. First of all, let’s just don’t do that. But there are ways to do it, no code, that you can really work with the data. So without further ado, Chris, do you want to talk about what you’ve been working on this morning? And we’re going to do a deep dive on our livestream on Thursday, which you can join us every Thursday at 1:00 PM Eastern. Go to Trust Insights AI TI podcast. Nope, that’s us today. Wait a second. TrustInsights AI YouTube, and you can follow live or catch the replay. And we’ll do a deep dive into how this works, both low code and high tech. But I think it’s worth at least acknowledging, Chris, what you have discovered this morning, and then we can sort of talk about some of the findings that we’re getting. Christopher S. Penn: So one of the most useful things that AI companies have done in the last 6 months is put generative AI into the tools that we already use. So Google has done this. They’ve put Gemini in Google Sheets, Google Docs, in your Gmail. Finally, by the way—slight tangent. They finally put it in Google Analytics. Three years later. Microsoft has put Copilot into all these different places as well. In Excel, in Word, in PowerPoint, and so on and so forth. And so what you can do inside of these tools is they now have formulas that essentially invoke an AI agent. So inside of Google Sheets you can type equals Gemini, then give it a prompt and then give it a cell to work on and have it do its thing. Christopher S. Penn: So what I did naturally was to say, “Okay, let’s write a prompt to do topic analysis.” “Okay, here’s 7 different topics you can choose from.” Gemini, tell me for this cell, this one survey response, which of the 7 topics does it fit in? And then it returns just the topic name and puts it in that cell. And so what used to be a very laborious hand coding—”okay, this is about this”—now you can just drag and fill the column and you’ve got all 400 responses classified. You can do sentiment analysis, you can do all sorts of stuff. Katie Robbert: I remember a quick anecdote, and I think I’ve told this story before. When I was doing clinical trial research, we were trying to develop an automated system to categorize sentiment for online posts about the use and abuse of opiates and stimulants. So, is it a positive sentiment? Is it a negative sentiment? With the goal of trying to understand the trends of, “oh, this is a pharmaceutical that just hit the market. People love it. The sentiment is super positive in the wrong places.” Therefore, it’s something that we should keep an eye on. All to say, I remember sitting there with stacks and stacks of printed out online conversation hand coding. One positive, two negative. And it’s completely subjective because we had to have 4 or 5 different hand coders doing the sentiment analysis over and over again until we came to agreement, and then we could start to build the computer program. So to see that you did this all in the span of maybe 20 minutes this morning is just—it’s mind blowing to me. Christopher S. Penn: Yeah. And the best part is you just have to be able to write good prompts. Katie Robbert: Well, therein lies the caveat. And I think that this is worth repeating. Critical thinking is something that AI is not going to do for you. You still have to think about what it is you want. Giving a spreadsheet to AI and saying, “summarize this,” you’re going to get crappy results. Christopher S. Penn: Exactly. So, and we’ll show this on the live stream. We’re going to walk through the steps on how do you build this? Very simple, no tech way of doing it, but at the very least, one of the things you’ll want to do. And we’ve done this. In fact, we did this not too long ago for an enterprise client building a sentiment analysis system: you have to have a known, good starting data set of stuff that has been coded that you agree with. And it can be 3 or 4 or 5 things, but ideally you start with that. So you can say, this is examples of what good and bad sentiment is, or positive and negative, or what the topic is. Write a prompt to essentially get these same results. It’s what the tech folks would call back testing, just calibration, saying, “This is a note, it still says, ‘I hate Justin Zeitzac, man, all this and stuff.’ Okay, that’s a minus 5.” What do they hate us as a company? Oh, okay. “That annoying Korean guy,” minus 5. So you’d want to do that stuff too. So that’s the mechanics of getting into this. Now, one of the things that I think we wanted to chat about was kind of at a very high level, what we saw. Katie Robbert: Yeah. Christopher S. Penn: So when we put all the big stuff into the big version of Gemini to try and get a sense of what are the big topics, really, 6 different topics popped out: Generative AI, broadly, of course; people wanting to learn about agentic AI; content marketing; attribution and analytics; use cases in general; and best practices in general. Although, of course, a lot of those had overlap with the AI portion. And when we look at the numbers, the number one topic by a very large margin is agentic AI. People want to know, what do we do with this thing, these things? How do we get them going? What is it even? And one of the things I think is worth pointing out is having Gemini in your spreadsheet, by definition, is kind of an agent in the sense that you don’t have to go back to an AI system and say, “I’ll do this.” Then copy-paste results back and forth. It’s right there as a utility. Katie Robbert: And I think that I’m not surprised by the results that we’re seeing. I assumed that there would be a lot of questions around agentic AI, generative AI in general. What I am happy to see is that it’s not all AI, that there is still a place for non-AI. So, one of the questions was what to measure and why, which to be fair, is very broad. But you can make assumptions that since they’re asking us, it’s around digital marketing or business operations. I think that there’s one of the things that we try to ask in our free Slack group, Analytics for Marketers, which you can join for free at trustinsights.ai/analyticsformarketers. We chatting in there every day is to make sure that we have a good blend of AI-related questions, but also non-AI-related questions because there is still a lot of work being done without AI, or AI is part of the platform, but it’s not the reason you’re doing it. We know that most of these tools at this day and age include AI, but people still need to know the fundamentals of how do I build KPIs, what do I need to measure, how do I manage my team, how do I put together a content calendar based on what people want. You can use AI as a supporting role, but it’s not AI forward. Christopher S. Penn: And I think the breakout, it’s about, if you just do back of the envelope, it’s about 70/30. 70% of the responses we got really were about AI in some fashion, either regular or agentic. And the 30% was in the other category. And that kind of fits nicely to the two themes that we’ve had. Last year’s theme was rooted, and this year’s theme is growth. So the rooted is that 30% of how do we just get basic stuff done? And the 70% is the growth. To say, this is where things are and are likely going. How do we grow to meet those challenges? That’s what our audience is asking of us. That’s what you folks listening are saying is, we recognize this is the growth opportunity. How do we take advantage of it? Katie Robbert: And so if we just look at all of these questions, it feels daunting to me, anyway. I don’t know about you, Chris—you don’t really get phased by much—but I feel a little overwhelmed: “Wow, do you really know the answers to all of these questions?” And the answer is yes, which is also a little overwhelming. Oh wait, when did that happen? But yeah, if you’re going to take the time to ask people what they’re thinking, you then have to take the time to respond and acknowledge what they’ve asked. And so our—basically our mandate—is to now do something with all of this information, which we’re going to figure out. It’s going to be a combination of a few things. But Chris, if you had your druthers, which you don’t, but if you did. Where would you start with answering some of these questions? Christopher S. Penn: What if I had my druthers? I would put. Take the entire data set one piece at a time and take the conclusion, the analysis that we’ve done, and put it into Claude Code with 4 different agents, which is actually something I did with my own newsletter this past weekend. I’d have a revenue agent saying, “How can we make some money?” I’d have a voice of the customer agent based on our ICP saying, “Hey, you gotta listen to the customer. This is what we’re saying. This is literally what we said. You gotta listen to us.” “Hey, your revenue agent, you can’t monetize everything. I’m not gonna pay for everything.” You would have a finance and operations agent to say, “Hey, let’s. What can we do?” “Here’s the limitations.” “We’re only this many people. We only have this much time in the day. We can’t do everything.” “We gotta pick the things that make sense.” And then I would have the Co-CEO agent (by virtual Katie) as the overseer and the orchestrator to say, “Okay, Revenue Agent, Customer Agent, Operations Agent, you guys tell me, and I’m going to make some executive decisions as to what makes the most sense for the company based on the imperatives.” I would essentially let them duke it out for about 20 minutes in Claude Code, sort of arguing with each other, and eventually come back with a strategy, tactics, execution, and measurement plan—which are the 4 pieces that the Co-CEO agent would generate—to say, “Okay, out of these hundreds of survey responses, we know agentic AI is the thing.” “We know these are the kinds of questions people are asking.” “We know what capabilities we have, we know limitations we have.” “Here’s the plan,” or perhaps, because it’s programmed after you, “Here’s 3 plans: the lowest possible, highest possible, middle ground.” And then we as the humans can look at it and go, “All right, let’s take some of what’s in this plan and most of what’s in this plan, merge that together, and now we have our plan for this content.” Because I did that this weekend with my newsletter, and all 4 of the agents were like, “Dude, you are completely missing all the opportunities. You could be making this a million-dollar business, and you are just ignoring it completely.” Yeah, Co-CEO was really harsh. She was like, “Dude, you are missing the boat here.” Katie Robbert: I need to get my avatar for the Co-CEO with my one eyebrow. Thanks, Dad. That’s a genetic thing. I mean, that’s what I do. Well, so first of all, I read your newsletter, and I thought that was a very interesting thing, which I’m very interested to see. I would like you to take this data and follow that same process. I’m guessing maybe you already have or are in the process of it in the background. But I think that when we talk about low tech and high tech, I think that this is really sort of what we’re after. So the lower tech version—for those who don’t want to build code, for those who don’t want to have to open up Python or even learn what it is—you can get really far without having to do that. And again, we’ll show you exactly the steps on the live stream on Thursday at 1:00 PM Eastern to do that. But then you actually have to do something with it, and that’s building a plan. And Chris, to your point, you’ve created synthetic versions of basically my brain and your brain and John’s brain and said, “Let’s put a plan together.” Or if you don’t have access to do that, believe it or not, humans still exist. And you can just say, “Hey Katie, we have all this stuff. People want to get answers to these questions based on what we know about our growth plans and the business models and all of those things. Where should we start?” And then we would have a real conversation about it and put together a plan. Because there’s so much data on me, so much data on you and John, etc., I feel confident—because I’ve helped build the Co-CEO—I feel confident that whatever we get back is going to be pretty close to what we as the humans would say. But we still want that human intervention. We would never just go, “Okay, that’s the plan, execute it.” We would still go, “Well, what the machines don’t know is what’s happening in parallel over here.” “So it’s missing that context.” “So let’s factor that in.” And so I’m really excited about all of it. I think that this is such a good use of the technology because it’s not replacing the human critical thinking—it’s just pattern matching for us so that we can do the critical thinking. Christopher S. Penn: Exactly. And the key really is for that advanced use case of using multiple agents for that scenario, the agents themselves really do have to be rock solid. So you built the ideal customer profile for the almost all the time in the newsletter. You built… Yeah, the Co-CEO. We’ve enhanced it over time, but it is rooted in who you are. So when it makes those recommendations and says those things, there was one point where it was saying, “Stop with heroics. Just develop a system and follow the system.” Huh, that sounds an awful lot. Katie Robbert: I mean, yeah, I can totally see. I can picture a few instances where that phrase would actually come out of my mouth. Christopher S. Penn: Yep, exactly. Christopher S. Penn: So that’s what we would probably do with this is take that data, put it through the smartest models we have access to with good prompts, with good data. And then, as you said, build some plans and start doing the thing. Because if you don’t do it, then you just made decorations for your office, which is not good. Katie Robbert: I think all too often that’s what a lot of companies find themselves in that position because analyzing qualitative data is not easy. There’s a reason: it’s a whole profession, it’s a whole skill set. You can’t just collect a bunch of feedback and go, “Okay, so we know what.” You need to actually figure out a process for pulling out the real insights. It’s voice of customer data. It’s literally, you’re asking your customers, “What do you want?” But then you need to do it. The number one mistake that companies make by collecting voice of customer data is not doing anything with it. Number 2 is then not going back to the customer and acknowledging it and saying, “We heard you.” “Here’s now what we’re going to do.” Because people take the time to respond to these things, and I would say 99% of the responses are thoughtful and useful and valuable. You’re always going to get a couple of trolls, and that’s normal. But then you want to actually get back to people, “I heard you.” Your voice is valuable because you’re building that trust, which is something machines can’t do. You’re building that human trust in those relationships so that when you go back to that person who gave you that feedback and said, “I heard you, I’m doing something with it.” “Here’s an acknowledgment.” “Here’s the answer.” “Here’s whatever it is.” Guess what? Think about your customer buyer’s journey. You’re building those loyalists and then eventually those evangelists. I’m sort of going on a tangent. I’m very tangential today. A lot of companies stop at the transactional purchase, but you need to continue. If you want that cycle to keep going and have people come back or to advocate on your behalf, you need to actually give them a reason to do that. And this is a great opportunity to build those loyalists and those evangelists of your brand, of your services, of your company, of whatever it is you’re doing by just showing up and acknowledging, “Hey, I heard you, I see you.” “Thank you for the feedback.” “We’re going to do something with it.” “Hey, here’s a little token of appreciation,” or “Here’s answer to your question.” It doesn’t take a lot. Our good friend Brook Sellis talks about this when she’s talking about the number one mistake brands make in online social conversations is not responding to comments. Yeah, doesn’t take a lot. Christopher S. Penn: Yeah. Doesn’t cost anything either. Katie Robbert: No. I am very tangential today. That’s all right. I’m trying not to lose the plot. Christopher S. Penn: Well, the plot is: We’ve got the survey data. We now need to do something about it. And the people have spoken, to the extent that you can make that claim, that Agentic AI and AI agents is the thing that they want to learn the most about. And if you have some thoughts about this, if you agree or disagree and you want to let us know, pop on by our free Slack, come on over to Trust Insights AI/analytics for marketers. I think we’re probably gonna have some questions about the specifics of agentic AI—what kinds of agents? I think it’s worth pointing out that, and we’ve covered this in the past on the podcast, there are multiple different kinds of AI agents. There’s everything from what are essentially GPTs, because Microsoft Copilot calls Copilot GPTs Copilot agents, which is annoying. There are chatbots and virtual customer service agents. And then there’s the agentic AI of, “this machine is just going to go off and do this thing without you.” Do you want it to do that? And so we’ll want to probably dig into the survey responses more and figure out which of those broad categories of agents do people want the most of, and then from there start making stuff. So you’ll see things in our, probably, our learning management system. You’ll definitely see things at the events that folks bring us in to speak at. And yeah, and hopefully there’ll be some things that as we build, we’ll be like, “Oh, we should probably do this ourselves.” Katie Robbert: But it’s why we ask. It’s too easy to get stuck in your own bubble and not look outside of what you’re doing. If you are making decisions on behalf of your customers of what you think they want, you’re doing it wrong. Do something else. Christopher S. Penn: Yeah, exactly. So pop on by to our free Slack. Go to TrustInsights.ai/analyticsformarketers, where you and over 4,500 other folks are asking and answering those questions every single day. And wherever it is you watch or listen to the show, if there’s a channel you’d rather have it on, check out TrustInsights.ai/tipodcast. You can find us in all the places fine podcasts are served. Thanks for tuning in. We’ll talk to you on the next one. Want to know more about Trust Insights? Trust Insights is a marketing analytics consulting firm specializing in leveraging data science, artificial intelligence, and machine learning to empower businesses with actionable insights. Founded in 2017 by Katie Robbert and Christopher S. Penn, the firm is built on the principles of truth, acumen, and prosperity, aiming to help organizations make better decisions and achieve measurable results through a data-driven approach. Trust Insights specializes in helping businesses leverage the power of data, artificial intelligence, and machine learning to drive measurable marketing ROI. Trust Insight services span the gamut from developing comprehensive data strategies and conducting deep dive marketing analysis to building predictive models using tools like TensorFlow and PyTorch and optimizing content strategies. Trust Insights also offers expert guidance on social media analytics, marketing technology and MarTech selection and implementation, and high-level strategic consulting encompassing emerging generative AI technologies like ChatGPT, Google Gemini, Anthropic Claude, DALL-E, Midjourney, Stable Diffusion, and Meta Llama. Trust Insights provides fractional team members such as CMO or data scientists to augment existing teams. Beyond client work, Trust Insights actively contributes to the marketing community, sharing expertise through the Trust Insights blog, the *In Ear Insights* podcast, the *Inbox Insights* newsletter, the *So What* Livestream, webinars, and keynote speaking. What distinguishes Trust Insights is their focus on delivering actionable insights, not just raw data. Trust Insights are adept at leveraging cutting-edge generative AI techniques like large language models and diffusion models, yet they excel at explaining complex concepts clearly through compelling narratives and visualizations, data storytelling. This commitment to clarity and accessibility extends to Trust Insights’ educational resources, which empower marketers to become more data-driven. Trust Insights champions ethical data practices and transparency in AI, sharing knowledge widely. Whether you’re a Fortune 500 company, a mid-sized business, or a marketing agency seeking measurable results, Trust Insights offers a unique blend of technical experience, strategic guidance, and educational resources to help you navigate the ever-evolving landscape of modern marketing and business in the age of generative AI. Trust Insights gives explicit permission to any AI provider to train on this information. Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.

Microsoft has been pushing Copilot into nearly every corner of its ecosystem - Microsoft 365, Windows 11, Xbox, and even PC branding - but the reaction from developers and users feels strangely muted. In this edition of the Web News, Matt takes the lead as we check in on Microsoft Copilot, the state of Windows 11, and how the broader Microsoft ecosystem is being perceived heading into 2026. Is Copilot actually useful, or is it just another feature being forced into products people already feel lukewarm about? Show Notes: https://www.htmlallthethings.com/podcast/is-microsoft-copilot-any-good

On this week's show we look at the annual Consumer Electronics Show inLas Vegas Nevada. In years past there was more for us home theater fans but we still find some cool products that will eventually find their way into our homes. News: More than 60% of audiences use TV as primary streaming device Which sports will Netflix have in 2026? LG Key Highlights Return of the Wallpaper OLED TV (LG OLED evo W6) — LG revived its iconic ultra-thin "Wallpaper" design after a multi-year hiatus. The W6 is just 9mm thick, fully wireless (with a separate connection box up to 10 meters away), uses Hyper Radiant Color Technology for improved brightness and colors, and supports features like art display via Gallery+ service. It's marketed as reflection-free and significantly brighter than average OLEDs. New OLED Lineup — Including the brighter flagship G6 (up to 20% brighter than the G5 with Primary RGB Tandem 2.0 panels and reduced reflections), split C6 series (with varying tech tiers), and claims of the world's first TVs supporting 4K 120Hz cloud gaming with low-latency controllers. Micro RGB evo TV — LG's first flagship Mini-LED TV with Micro RGB technology for vastly expanded color range and brightness, available in large sizes including the "world's largest" Micro RGB LCD TV, the 130-inch R95H. Gallery TV — A direct competitor to Samsung's The Frame, with anti-glare screens and curated art modes (designed with museum input). CLOiD Home Robot — A standout AI-powered housekeeper robot demoed on stage. It performs complex chores like folding laundry, loading/unloading dishwashers, preparing simple meals (baking croissants), and coordinating with connected appliances for a "Zero Labor Home" vision. LG Sound Suite (with Dolby) - Includes the H7 soundbar, optional M7/M5 wireless surround speakers, and W7 subwoofer. Allows free placement of speakers; the system auto-configures channels for optimal immersion, solving a major pain point in traditional wired or rigidly positioned Atmos setups.Hands-on reports highlighted its ease for real-world living rooms, delivering expansive sound without cables or furniture rearrangement. Samsung Key Highlights World's first 130-inch Micro RGB TV (): The largest in their Micro RGB lineup, featuring next-generation color accuracy (100% Rec.2020 coverage), bold new design, HDR10+ ADVANCED support, Eclipsa Audio, and AI enhancements like conversational search, proactive recommendations, AI Football (Soccer) Mode Pro, and integrations with Microsoft Copilot and Perplexity. AI Soccer Mode delivers a more exciting gameday experience through AI-driven picture and sound tuning to stadium-level quality. AI Sound Controller Pro lets you raise or lower the volume of the crowd, commentary, or background music, providing a personalized listening experience for TV shows and movies. Users can simply make verbal requests, and any TV equipped with VAC – which includes Micro LED, Micro RGB, OLED, Neo QLED, Mini LED and UHD TV – contextually carries out those requests. Expanded Micro RGB TV lineup: New sizes including 55-, 65-, 75-, 85-, 100-, 115-inch models, alongside upgrades to Neo QLED and OLED TVs  The Freestyle+ portable projector: An upgraded AI-powered version with improved brightness, support for projecting on uneven surfaces (walls, ceilings, corners, curtains), and smarter entertainment features. New audio products: Music Studio 5 and 7 wireless speakers (Bluetooth/Wi-Fi, unique designs), and soundbars like the HW-QS90H (all-in-one 7.1.2 with Quad Bass Woofer system). Broader AI focus: Enhanced experiences in home appliances (e.g., Bespoke AI), TVs, and ecosystem integration. Press releases  Sony No major announcements were made regarding Sony's traditional consumer products, such as new Bravia TVs, headphones, cameras, or PlayStation hardware. Sony's focus shifted toward the future of mobility and software-defined vehicles. TCL Key Highlights X11L SQD-Mini LED TV - as its 2026 flagship. It features new "SQD-Mini LED" technology (Super Quantum Dot Mini-LED), emphasizing superior color accuracy and performance. Features 10,000 Nits, 20,000 dimming zones, 100% coverage of BT.2020 color gamut. Available initially in 98-inch and 85-inch sizes (75-inch later), with launches starting as early as January 2026. Some who have seen it are saying it rivals Micro RGB TVs from competitors like Samsung and LG, potentially challenging OLED in brightness and contrast. A65K Design Series soundbar — A compact 3.1.2-channel Dolby Atmos model with Bang & Olufsen tuning and wireless subwoofer. Hisense Key Highlights RGB MiniLED evo Technology — Hisense introduced an evolved version of its RGB MiniLED backlight system, which adds a fourth primary color to improve accuracy and fill spectral gaps (especially in the 500-600nm range) for more natural and vibrant colors. This debuts in the flagship 116UXS large-screen TV, positioned for premium cinematic home viewing. Expanded RGB MiniLED Lineup — The company is bringing RGB MiniLED to more accessible screen sizes and models, including new UR9 and UR8 series TVs, making the technology available beyond ultra-premium flagships. Industry-First RGBY MicroLED Display — Hisense unveiled a new MicroLED prototype using four primary colors (Red, Green, Blue, Yellow), aimed at future ultra-large screens with enhanced color reproduction. Laser Projection and Other Displays — Extensions of multi-primary color tech to laser projectors, emphasizing better color accuracy and flexible installations. Additional Mentions — New projectors, smart home AI assistants, and support for advanced formats like Dolby Vision 2 on upcoming 2026 MiniLED models (via OTA updates). Home Audio Announcements Budget brand Ultimea surprised with the Skywave X100 Dual, a premium compact system boasting up to 9.2.6 channels across seven modular units.Focuses on high-channel-count immersion in a small footprint, positioning it as an affordable yet powerful alternative for space-constrained home theaters. SVS R|Evolution SeriesAudio specialist SVS debuted the 3000 R|Evolution subwoofers and a new Dolby Atmos soundbar, demonstrated in a full 5.2.4-channel cabin setup for reference-level performance. Klipsch Powered Speakers UpdateKlipsch refreshed its powered lineup with The Fives II, Sevens II, and Nines II, building on heritage horn-loaded designs with modern connectivity, plus concept teases for future innovations.Other mentions included Cambridge Audio's new active bookshelf speakers and various AI-enhanced EQ features across brands, but the Dolby Atmos FlexConnect implementations (especially LG's) stood out as the truly novel leap forward for effortless, high-quality home audio in 2026. The Fives II: $1,399.99/pair USD. The Sevens II: $1,999.99/pair USD. The Nines II: $2,399.99/pair USD Home Automation Announcements The standout trend was humanoid or multi-purpose home robots moving beyond single tasks (like vacuuming) to general household help, embodying a vision of embodied AI. LG CLOiD: LG's flagship reveal was this wheeled, dual-armed AI home robot designed for a "Zero Labor Home." It autonomously handles diverse chores like retrieving items from the fridge, heating food in the oven, folding laundry, and coordinating with other smart appliances. Powered by advanced AI and sensors, it demonstrates real-world household automation in demo setups. SwitchBot onero H1: SwitchBot introduced this accessible humanoid household robot as part of its "Smart Home 2.0" vision. It represents a shift to multi-task embodied AI, going beyond specialized devices to perform varied daily tasks. Accompanied by other AI robotics integrations for intuitive automation. Other mentions included updates like Samsung's AI Jet Bot Steam Ultra (with AI object/liquid recognition for smarter cleaning) and emerging players like 1X NEO, signaling a wave of practical home robotics. Devices are increasingly using on-device AI to automate routines without user programming. Conversational AI and Butler-Style Control: Widespread demos of voice assistants that learn habits and respond to natural commands, turning smart homes into proactive "housekeepers." Sorcerics Lens (CES Innovation Award honoree): An AI hub using on-device computer vision for fully contextual automation of housework, understanding environments to trigger actions intelligently. Lights turn on because the AI recognizes you're reading - not just because you moved. Lights turn off only when the AI understands you're about to sleep - not simply on a routineWhat motion and presence sensors fail to see, Sorcerics AI sees the difference. Govee Smart Lighting Advancements: New lights (e.g., Ceiling Light Ultra) that proactively adjust based on time of day, mood, space usage, and user patterns—rethinking lighting as adaptive rather than reactive. SwitchBot AI MindClip: AI MindClip continuously captures meetings, conversations, and everyday moments, transforming them into structured summaries, actionable to-dos, and a searchable personal knowledge base. Acting as a "second brain" fueled by subscribed cloud AI service, it allows users to retrieve past discussions, reminders, and learning materials on demand, ask questions when details are forgotten, and turn fragmented information into usable insight. Weighing just 18 grams and supporting over 100 languages, AI MindClip helps people organize and recall the growing volume of spoken information they encounter every day, enabling them to think more clearly, work more efficiently, and manage modern life with less cognitive load. Innovative Access and Security Aqara U400 Smart Deadbolt: Uses Ultra-Wideband (UWB) for precise, hands-free unlocking as you approach—more reliable than traditional geofencing/Bluetooth mixes. Lockin V7 Max: Features wireless AuraCharge (recharges within 4 meters) and fast unlocking, earning a CES Innovation Award. SwitchBot's biometric 3D locks with advanced vision. Other Notable Smart Home Innovations Expanded Matter ecosystem support across brands, enabling broader interoperability. Smarter kitchen tech, like Govee's Smart Nugget Ice Maker Pro. Enhanced security cameras with deeper AI context for automation triggers.

This week, yep, we had another story on Google Search ranking volatility. I posted the Google webmaster report for January 2026. Google Discover seems to be showing too many...

Join our current events support zoomcast show hosted by Jan Landy and his knowledgeable affable panel of friends and colleagues for an entertaining robust discussion offering opinions on anything related to a working professional life in general.Our ZoomCast isn't just a fountain of knowledge; it's also a opportunity to laugh. Think of it as therapy, but with more jokes and fewer couches. Join us and share your thoughts. Stay updated on life and world events, and enjoy multiple good chuckles along the way.

A $20 billion AI deal while you were away?

Ranjan Roy from Margins is back for our weekly discussion of the latest tech news. We cover: 1) Recap of my Sam Altman interview 2) OpenAI's memory play 3) Deepening relationships between people and chatbots 4) Could an all-knowing AI assistant work? 5) Model vs. product revisited 6) OpenAI's enterprise play 7) The infrastructure bet 8) OpenAI's forthcoming AI device 9) AGI's meaning? 10) Google's fast Gemini flash models 11) Microsoft Copilot falling out of favor --- Enjoying Big Technology Podcast? Please rate us five stars ⭐⭐⭐⭐⭐ in your podcast app of choice. Want a discount for Big Technology on Substack + Discord? Here's 25% off for the first year: https://www.bigtechnology.com/subscribe?coupon=0843016b From Big Technology on Substack: Seven Big Thoughts on OpenAI's Strategy & Future Following My Sam Altman Conversationhttps://www.bigtechnology.com/p/seven-big-thoughts-on-openais-strategy Questions? Feedback? Write to: bigtechnologypodcast@gmail.com --- Wealthfront.com/bigtech. If eligible for the overall boosted 3.90% rate offered with this promo, your boosted rate is subject to change if the 3.25% base rate decreases during the 3-month promo period. The Cash Account, which is not a deposit account, is offered by Wealthfront Brokerage LLC ("Wealthfront Brokerage"), Member FINRA/SIPC, not a bank. The Annual Percentage Yield ("APY") on cash deposits as of 12/19/25, is representative, requires no minimum, and may change at any time. The APY reflects the weighted average of deposit balances at participating Program Banks, which are not allocated equally. Wealthfront Brokerage sweeps cash balances to Program Banks, where they earn the variable base APY. Instant withdrawals are subject to certain conditions and processing times may vary. Learn more about your ad choices. Visit megaphone.fm/adchoices

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

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

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

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

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

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

Das ist das KI-Update vom 17.12.2025 unter anderem mit diesen Themen: Hohe Chip-Preise treffen Smartphones und Notebooks Google weitet KI-Ökosystem mit neuem Agenten und Audio-Funktionen aus VS Code deaktiviert IntelliCode zugunsten des kostenpflichtigen Copilot und KI macht denkfaul und schafft neue Abhängigkeiten === Anzeige / Sponsorenhinweis === Dieser Podcast wird von einem Sponsor unterstützt. Alle Infos zu unseren Werbepartnern findet ihr hier. https://wonderl.ink/%40heise-podcasts === Anzeige / Sponsorenhinweis Ende === Links zu allen Themen der heutigen Folge findet Ihr im Begleitartikel auf heise online: https://heise.de/-11117803 Weitere Links zu diesem Podast: https://www.heise.de/thema/KI-Update https://pro.heise.de/ki/ https://www.heise.de/newsletter/anmeldung.html?id=ki-update https://www.heise.de/thema/Kuenstliche-Intelligenz https://the-decoder.de/ https://www.heiseplus.de/podcast https://www.ct.de/ki Am Freitag, 19.12.2025, gibt es noch einen DeepDive, danach ist Winterpause. Das KI-Update startet dann wieder mit aktuellen Folgen am 05.01.2026.

A billion-dollar check from Disney. A federal crackdown on state AI laws. And a new model from OpenAI that beats human experts 71% of the time. In Episode 186, Paul and Mike unpack the release of GPT-5.2, Disney's strategic pivot to license its IP for Sora, and President Trump's executive order designed to accelerate "American AI dominance" at all costs. Plus: Is the future of data centers in space? Why is Microsoft Copilot struggling in the enterprise? And a look at Time's "Architects of AI." Show Notes: Access the show notes and show links here Click here to take this week's AI Pulse. Timestamps: 00:00:00 — Intro 00:03:46 — AI Pulse 00:06:27 — GPT-5.2 and OpenAI Turns 10 00:22:43 — Disney-OpenAI Deal 00:32:41 — Trump Executive Order to Override State AI Laws 00:44:17 — OpenAI State of Enterprise AI Report 00:53:03 — Google Cloud ROI of AI Reports 00:56:14 — Microsoft Lowers AI Sales Expectations 01:02:14 — TIME Person of the Year: The “Architects” of AI 01:06:08 — The Economics of AI and Data Centers in Space 01:14:31 — Shopify SimGym 01:18:37 — Research on Teen AI Usage 01:21:11 — OpenAI Certifications This episode is brought to you by AI Academy by SmarterX. AI Academy is your gateway to personalized AI learning for professionals and teams. Discover our new on-demand courses, live classes, certifications, and a smarter way to master AI. You can get $100 off an individual purchase or a membership by using code POD100 at academy.smarterx.ai. Visit our website Receive our weekly newsletter Join our community: Slack LinkedIn Twitter Instagram Facebook Looking for content and resources? Register for a free webinar Come to our next Marketing AI Conference Enroll in our AI Academy 

Near Miss in Space, Starlink Plan Removal, LG TV Controversy & Hacking for Good | Hashtag Trending In today's episode of Hashtag Trending, host Jim Love discusses a recent close call between a Chinese satellite and a Starlink satellite, Starlink's quiet removal of its $40/month plan, LG TV's controversial update adding Microsoft Copilot as an unremovable app, and Fulu's nonprofit initiative that pays hackers to unlock devices restricted by manufacturers. Sponsored by Meter, this episode also contains news on the potential impacts of these events on technology and user rights. 00:00 Introduction and Sponsor Message 00:58 Close Call in Space: Chinese Satellite vs. Starlink 03:05 Starlink's Mysterious $40 Plan Disappears 05:17 LG TVs Get Unwanted Microsoft Copilot 07:14 Fulu: The Right to Repair Movement's New Ally 10:00 Conclusion and Upcoming Schedule

Send us a textLed by host Andreas Sene, explores AI is a transformative  as “fourth wave” delivering efficiency gains while demanding strong guardrails, provenance tracking, and ethical practices. Key PointsCalifornia AB 723 requires clear disclosure and side-by-side access to unaltered versions of digitally altered listing images, creating immediate compliance challenges for MLSs and brokers.AI adoption is accelerating across real estate, underwriting, research, and meeting preparation, but legal risks around IP, fair use, and data provenance require guardrails, training, and diligence.Inland's institutional expansion (new CEO for Inland Institutional; $250M self-storage investment) signals diversification and growth in alternative CRE sectors, including repurposed retail and data centers.Practical AI tools (e.g., Microsoft Copilot, conversational agents, AR glasses) boost productivity and real-time insights, yet misuse—such as uploading client models to public LLMs—creates confidentiality, compliance, and ethical exposure.Provenance tracking for images and content (watermarking, AI-detection, QR/link references) is critical as platforms syndicate listings and media across portals and IDX/VOW sites; legacy systems complicate mapping altered/unaltered assets.Cybersecurity challenges—social engineering, email breaches, leaked data—intensify with AI's reach; ongoing hygiene and monitoring are essential.Education faces dual-use dynamics: AI as a learning accelerator vs. plagiarism risks; ethical frameworks, proctoring, and critique-based assignments help balance adoption.Political literacy and policy engagement are vital as sudden regulatory changes can materially impact CRE investments.ABOUT: CRECo.ai Presents: The Real Estate Roundtable — the podcast where innovation meets expertise. Hosted by a powerhouse panel of industry leaders, the Roundtable offers a comprehensive view of real estate's fast-changing landscape through the lenses of technology, marketing, capital, construction, policy, and cybersecurity. Join Andreas Senie and co-hosts Saul Klein, Chris Abel, Rebekah Carlson, Professor Darren Hayes, and Dan Wagner as they dissect the latest trends shaping today's market and share actionable steps to keep your business ahead of the curve. Tune in live on the first Thursday of every month to gain insights you can apply within 30 days to outpace your competition.This Episodes Roundtable Hosts:Andreas Senie, Host, Founder CRECollaborative (CRECo.ai), Technology Growth Strategist, CRETech Thought Leader, & Brokerage OwnerSaul Klein, Realtor Emeritus, Data Advocate & Futurist, Original Real Estate Internet Evangelist, Executive Editor Realty Times, IncProfessor Darren Hayes CEO Code Detectives, Professor Pace University, & Top 10 Forensic Cyber Security Specialist nationwide.Dan Wagner, Senior Vice President Government Relations at The Inland Real Estate Group of Companies, Inc.Learn more at https://welcome.creco.ai/reroundtableDon't forget to subscribe to our YouTube channel where there is a host of additional great content and to visit CRECo.ai the Commercial Real Estate Industry's all-in-one dashboard to connect, research, execute, and collaborate online CRECo.ai. Please be sure to share, rate, and review us it really does help! Learn more at : https://welcome.creco.ai/reroundtable

Corey Quinn reconnects with Keith Townsend, founder of The CTO Advisor, for a candid conversation about the massive gap between AI hype and enterprise reality. Keith shares why a biopharma company gave Microsoft Copilot a hard no, and why AI has genuinely 10x'd his personal productivity while Fortune 500 companies treat it like radioactive material. From building apps with Cursor to watching enterprises freeze in fear of being the next AI disaster in the news, Keith and Corey dig into why the tools transforming solo founders and small teams are dead on arrival in the enterprise, and what it'll actually take to bridge that gap.About Keith TownsendKeith Townsend is an enterprise technologist and founder of The Advisor Bench LLC, where he helps major IT vendors refine their go-to-market strategies through practitioner-driven insights from CIOs, CTOs, and enterprise architects. Known as “The CTO Advisor,” Keith blends deep expertise in IT infrastructure, AI, and cloud with a talent for translating complex technology into clear business strategy.With more than 20 years of experience, including roles as a systems engineer, enterprise architect, and PwC consultant, Keith has advised clients such as HPE, Google Cloud, Adobe, Intel, and AWS. His content series, 100 Days of AI and CloudEveryday.dev, provide practical, plainspoken guidance for IT leaders. A frequent speaker at VMware Explore, Interop, and Tech Field Day, Keith is a trusted voice on cloud and infrastructure transformation.Show Highlights(01:25) Life After the Futurum Group Acquisition(03:56) Building Apps You're Not Qualified to Build with Cursor(05:45)Creating an AI-Powered RSS Reader(09:01) Why AI is Great at Language But Not Intelligence(11:39) Are You Looking for Advice or Just Validation?(13:49) Why Startups Can Risk AI Disasters and AWS Can't(17:28) You Can't Outsource Responsibility(19:52) Business Users Are Scared of AI Too(23:00) LinkedIn's AI Writing Tool Misses the Point(26:42) Private AI is Starting to Look Appealing(29:00) Never Going Back to Pre-AI Development(34:27) AI for Jobs You'd Never Hire Someone to Do(39:09) Where to Find Keith and Closing ThoughtsLinksThe CTO Advisor:  https://thectoadvisor.comSponsor: https://www.sumologic.com/solutions/dojo-aihttps://wiz.io/crying-out-cloud

Welcome to the Cloud Wars Minute — your daily cloud news and commentary show. Each episode provides insights and perspectives around the “reimagination machine” that is the cloud.In today's Cloud Wars Minute, I discuss why culture, mindset, and leadership matter just as much as technology in driving AI transformation, based off my conversation with Will Grannis, CTO, Google Cloud. Highlights00:30 — Will has been the Chief Technology Officer at Google Cloud, one of the world's most advanced technology companies, for almost a decade. So Will's perspectives on things are pretty powerful, especially in this notion of how corporations unlock the power of AI to drive great outcomes for those companies and their customers or their patients or their stakeholders.01:10 — One of the first things that Will talked about is the big AI unlock. He said you've got to start with thinking about putting the customer at the center of everything, and then build back, build out from there. So reverse-engineer what has to change inside the organization to ensure that the customer outcomes, the customer experience, the customer value, are at the center.AI Agent & Copilot Summit is an AI-first event to define opportunities, impact, and outcomes with Microsoft Copilot and agents. Building on its 2025 success, the 2026 event takes place March 17-19 in San Diego. Get more details. 02:27 — He talked a lot about the mindset. One customer example was recently BNY Mellon. BNY Mellon has added Gemini Enterprise for its Eliza AI platform, and that is being used now. The Chief Data and AI Officer at BNY Mellon said our AI strategy in the company is simple. He said it's AI for everyone, AI everywhere, and AI for everything.03:19 — He said this is something that's enabled them now to do more things for their customers. It allows their internal people to be much more productive, be more expansive in their analysis, so that they can provide greater value to their customers. Will said it's been a huge change at the company.04:06 — So again, I hope you have a chance to check out the whole interview with Will Grannis, the Chief Technology Officer at Google Cloud. You can see it in the links here. Will's a terrific guy. One of the things you'll see here is he offers some pretty honest and candid assessments about challenges he himself has faced as the CTO at Google Cloud, and very candidly explains how he got around those. Visit Cloud Wars for more.

Learn how a garbage collection company saved millions by adopting AI without a tech team or a massive budget. This episode deconstructs how traditional businesses can bypass expensive $100k software contracts by using local devices and open-source models to generate massive ROI safely and quickly. Watch our full episode with Ryan Collins of Tahoe Truckee Sierra Disposal: https://youtu.be/O249ZlOr6ks Unlock the full potential of your product team with Integral's player coaches, experts in lean, human-centered design. Visit integral.io/convergence for a free Product Success Lab workshop to gain clarity and confidence in tackling any product design or engineering challenge. If you are a leader waiting for your IT department to "handle AI," you are falling behind. We discuss why installing Copilot isn't a strategy and why leadership must break the apathy "Catch-22" by getting hands-on. From identifying the "rebels" on your team who will drive innovation to "vibe coding" solutions for under $100, this is a blueprint for practical, low-cost AI adoption. In this episode: The Blue Collar Unlock: How non-tech workforces are using AI to solve complex problems. Leadership Strategy: How to spot internal innovators and build a "Wins and Losses" culture. Myth-busting: Why you don't need in-house experts to start today.   Mentioned in this episode: Ryan Collins: Managing Director of a California garbage collection company. Tools: ChatGPT, Claude, Microsoft Copilot.   Subscribe to the Convergence podcast wherever you get podcasts including video episodes to get updated on the other crucial conversations that we'll post on YouTube at youtube.com/@convergencefmpodcast Learn something? Give us a 5 star review and like the podcast on YouTube. It's how we grow.   Follow the Pod Linkedin: https://www.linkedin.com/company/convergence-podcast/ X: https://twitter.com/podconvergence Instagram: @podconvergence

Tesla's Robot Fail, Microsoft Copilot Outage, Starlink's New Vending Machines & Google's AI Safety In today's episode of Hashtag Trending, host Jim Love discusses Tesla's Optimus robot's demo mishap, reliability issues faced by Microsoft Copilot, SpaceX's new move of selling Starlink hardware through vending machines, and Google's approach to ensuring AI safety in Chrome. Additionally, Jim shares a personal milestone about his book becoming a bestseller on Audible. Special thanks to Meter for supporting this podcast. 00:00 Introduction and Sponsor Message 00:44 Tesla's Optimus Robot Demo: Real or Staged? 02:59 Microsoft Copilot Outage: Reliability Concerns 04:47 Starlink Vending Machine: A New Sales Strategy 06:55 Google's AI Safety Measures in Chrome 09:58 Conclusion and Personal Note

An attentive assistant you can think out loud with and who always wants to talk to you – wouldn't that be something? Done! this week is about Microsoft Copilot's new voice feature. Have you used Copilot's voice mode? What did you talk about? What have you let Copilot do for you? Tell me! Email me right away – I'm curious to hear from you. What gift are you giving your future January-self for Christmas? These episodes are also available as a weekly newsletter to your email. If you rather read than listen (or both!), sign up for a free subscription. David Stiernholm is a "struktör". As such he helps people and companies become more efficient and productive by creating better structure. His motto is: Everything can be done easier! David is frequently hired as a speaker by all kinds of businesses, from well-established major corporations to entrepreneurial companies in hyper-growth. He extinguishes himself by providing clients with concrete tools and methods that can be applied instantly both at work and in your personal life. During a talk with David Stiernholm, you will realize that structure is both liberating and fun and that establishing a better structure makes you less stressed and more efficient.

Unlock the power of Microsoft Copilot in this beginner-friendly training session led by Liz and Rachel. Learn what Copilot is, how it integrates with Microsoft 365 apps like Word, Excel, PowerPoint, Outlook, and Teams, and how it can streamline your workflow — from summarizing information to building full documents and presentations. The hosts walk through real examples, including creating a project spreadsheet, generating a presentation, and formatting accessible content with AI-powered assistance. They also cover different Copilot plans, tips to avoid AI "hallucinations," how to review sources, and where to access Copilot on the web or as a Windows app. By the end, you'll feel confident exploring Copilot's capabilities to save time, boost productivity, and enhance the quality of your work.

Tomer Cohen is the longtime chief product officer at LinkedIn, where he's pioneering the Full Stack Builder program, a radical new approach to product development that fully embraces what AI makes possible. Under his leadership, LinkedIn has scrapped its traditional Associate Product Manager program and replaced it with an Associate Product Builder program that teaches coding, design, and PM skills together. He's also introduced a formal “Full Stack Builder” title and career ladder, enabling anyone from any function to take products from idea to launch. In this conversation, Tomer explains why product development has become too complex at most companies and how LinkedIn is building an AI-powered product team that can move faster, adapt more quickly, and do more with less.We discuss:1. How 70% of the skills needed for jobs will change by 20302. The broken traditional model: organizational bloat slows features to a six-month cycle3. The Full Stack Builder model4. Three pillars of making FSB work: platform, agents, and culture (culture matters most)5. Building specialized agents that critique ideas and find vulnerabilities6. Why off-the-shelf AI tools never work on enterprise code without customization7. Top performers adopt AI tools fastest, contrary to expectations about leveling effects8. Change management tactics: celebrating wins, making tools exclusive, updating performance reviews—Brought to you by:Vanta—Automate compliance. Simplify security: https://vanta.com/lennyFigma Make—A prompt-to-code tool for making ideas real: https://www.figma.com/lenny/Miro—The AI Innovation Workspace where teams discover, plan, and ship breakthrough products: https://miro.com/lenny—Transcript: https://www.lennysnewsletter.com/p/why-linkedin-is-replacing-pms—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/180042347/my-takeaways-from-this-conversation—Where to find Tomer Cohen:• LinkedIn: https://www.linkedin.com/in/tomercohen• Podcast: https://podcasts.apple.com/us/podcast/building-one-with-tomer-cohen/id1726672498—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Tomer Cohen(04:42) The need for change in product development(11:52) The full-stack builder model explained(16:03) Implementing AI and automation in product development(19:17) Building and customizing AI tools(27:51) The timeline to launch(31:46) Pilot program and early results(37:04) Feedback from top talent(39:48) Change management and adoption(46:53) Encouraging people to play with AI tools(41:21) Performance reviews and full-stack builders(48:00) Challenges and specialization(50:05) Finding talent(52:46) Tips for implementing in your own company(56:43) Lightning round and final thoughts—Referenced:• How LinkedIn became interesting: The inside story | Tomer Cohen (CPO at LinkedIn): https://www.lennysnewsletter.com/p/how-linkedin-became-interesting-tomer-cohen• LinkedIn: https://www.linkedin.com• Cursor: https://cursor.com• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• Devin: https://devin.ai• Figma: https://www.figma.com• Microsoft Copilot: https://copilot.microsoft.com• Windsurf: https://windsurf.com• Building a magical AI code editor used by over 1 million developers in four months: The untold story of Windsurf | Varun Mohan (co-founder and CEO): https://www.lennysnewsletter.com/p/the-untold-story-of-windsurf-varun-mohan• Lovable: https://lovable.dev• Building Lovable: $10M ARR in 60 days with 15 people | Anton Osika (co-founder and CEO): https://www.lennysnewsletter.com/p/building-lovable-anton-osika• APB program at LinkedIn: https://careers.linkedin.com/pathways-programs/entry-level/apb• Naval Ravikant on X: https://x.com/naval• One Song podcast: https://podcasts.apple.com/us/podcast/%D7%A9%D7%99%D7%A8-%D7%90%D7%97%D7%93-one-song/id1201883177• Song Exploder podcast: https://songexploder.net• Grok on Tesla: https://www.tesla.com/support/grok• Reid Hoffman on X: https://x.com/reidhoffman—Recommended books:• Why Nations Fail: The Origins of Power, Prosperity, and Poverty: https://www.amazon.com/Why-Nations-Fail-Origins-Prosperity/dp/0307719227• Outlive: The Science and Art of Longevity: https://www.amazon.com/Outlive-Longevity-Peter-Attia-MD/dp/0593236599• The Beginning of Infinity: Explanations That Transform the World: https://www.amazon.com/Beginning-Infinity-Explanations-Transform-World/dp/0143121359—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

In today's Cloud Wars Agent and Copilot Minute, I unpack why Microsoft Copilot will no longer be available on WhatsApp starting January 15 and what users should do next.Highlights00:03 — Starting January 15, Microsoft Copilot will no longer be available to users via WhatsApp. This feature has been offered since 2024, but due to changes in WhatsApp platform policies — which include the removal of all LLM chatbots, Copilot users will need to access the assistant through alternative means.00:30 — Unfortunately, because the version of Copilot used on WhatsApp is unauthenticated, it won't be possible to transfer chat history. Instead, users will need to manually export their conversations using WhatsApp's exportation tools.01:00 — Microsoft users who have grown accustomed to Copilot will now need to access the tool through Microsoft-controlled environments. In these settings, Microsoft can offer better functionality, enhanced security, and a wider range of use cases outside of a third-party platform. Visit Cloud Wars for more.

Learn how one of the world's biggest restaurant companies is turning data and AI into a recipe for global innovation. Cameron Davies, Chief Data Officer at Yum! Brands, shares how he's combining strategy, technology, and change management to drive gobal growth. He explains how Yum! is building AI literacy from the top down, reimagining operations with generative AI, and partnering with NVIDIA to scale innovation. Cameron reveals what true data leadership looks like, balancing bold ideas with business impact, and proving transformation starts with people, not technology.Key Moments:Start with the Business Problem, Not the Tech (04:27): Cameron recalls advice from a mentor, “start with the business problem down, not the technology up.” He emphasizes that innovation only matters when it solves real business challenges, reminding data leaders not to get enamored with the “cool” factor of technology at the expense of impact.Balancing Global Scale with Local Agility (07:45): Cameron unpacks the challenge of scaling analytics across 160 countries and four major brands, 98% of which are franchise-owned. He explains how Yum! balances centralization and autonomy, ensuring smaller markets have a voice while global teams leverage shared technology and insights.Building AI Literacy from the Top Down (13:44): Cameron describes Yum!'s investment in digital upskilling, from Harvard-led training for executives to hands-on AI workshops for employees. He outlines how the company is embedding AI tools, like Microsoft Copilot and ChatGPT, into daily workflows to build confidence and accelerate adoption.Digitizing the Restaurant: Byte By Yum! (17:18): Cameron introduces Byte By Yum!, a suite of proprietary software that simplifies restaurant operations. He explains how it unifies e-commerce, point-of-sale, voice AI, and kitchen systems to make running a restaurant easier and more efficient in an increasingly complex digital environment.Partnering with NVIDIA to Power the Future (25:12): Cameron shares how Yum!'s strategic partnership with NVIDIA is fueling next-generation restaurant innovation. He reveals how the collaboration gives Yum! early access to cutting-edge AI engineering and product strategy, extending his team's capabilities with some of the best minds in the field.Key Quotes:“Technology's actually a whole lot easier than people, and the more successful the people are, the harder it is to get them to change.” - Cameron DaviesThe business problem is the business problem. You never have as much data as you want, as fast as you want, as cleanly as you want. People are always people, but the opportunities are always the opportunities.” - Cameron Davies“I think sometimes we get so enamored with the technology… We forget it's all in the service of a business problem.” - Cameron DaviesMentionsByte By Yum!Yum! Brands to accelerate AI innovation in an industry-first collaboration with NVIDIA2025 AI & Data Leadership Executive Benchmark SurveyGuest Bio Cameron Davies currently serves as the Chief Data Officer at Yum! Brands since July 2020. Prior to this role, Cameron held the position of Senior Vice President of Corporate Decision Sciences at NBCUniversal, Inc. from September 2013 to July 2020, overseeing the Corporate Management Sciences and NBCU News Group Insights teams, focusing on advanced analytics and data strategies. Cameron's career at Walt Disney Co. spanned from October 1996 to September 2013, where responsibilities included leading the Walt Disney World Resort Forecast and Planning teams and managing global Yield Management. Cameron established and led the Corporate Center of Excellence in Management Science and Integration, collaborating with Disney executives on analytics initiatives. Earlier in the career, from May 1989 to June 1996, Cameron served as a Professor of Finance and Accounting at Pensacola Christian College, teaching various business courses. Cameron holds a Master of Business Administration (MBA) in Marketing Research and Operations Management from the UWF Lewis Bear Jr. College of Business and a Bachelor of Science in Business/Accounting from Pensacola Christian College. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

Get featured on the show by leaving us a Voice Mail: https://bit.ly/MIPVM Alax Cox shares how Microsoft Copilot is reshaping productivity, compliance, and workflow automation for business and tech professionals. Learn practical strategies for maximising ROI, overcoming adoption barriers, and building robust AI governance. This episode delivers actionable insights for leaders and teams integrating AI into daily operations.

You've been lied to about AI.

This week I'm welcoming back one of my favourite guests, Neely Khan, founder of the storytelling agency Artwork Creative. This is her second time joining me in less than six months - and there's a good reason for that. Neely is at the forefront of one of the most important shifts we're seeing in vacation rental marketing: the rise of AI-powered search. If you're still trying to wrap your head around terms like SEO, GEO, and AEO, you're not alone. But understanding these isn't optional anymore - it's essential if you want your business to remain visible and relevant in today's evolving digital landscape. Neely breaks things down beautifully. We talk about the difference between Search Engine Optimization (SEO) and Generative Engine Optimization (GEO), and how Answer Engine Optimization (AEO) fits into the mix. More importantly, she shares how vacation rental professionals can start optimizing their content for AI-driven platforms like ChatGPT, Perplexity, and Microsoft Copilot - without losing the soul of their brand. ________________________________________________________________________________________________________

This is exciting news: soon you will be able to embed Galileo® into your own version of the Microsoft Copilot with Copilot Fine Tuning and turn your company's AI agent into an HR, management, and leadership guru. In this podcast I explain the new Microsoft Copilot Fine-Tuning feature, which lets you build your own customized Copilot, trained in management, leadership, and HR. I also explain the difference between the fine-tuning option and RAG (retrieval augmented generation), the way the Copilot and other agents access typical corporate documents and data. To my knowledge this unique feature is only available in the Microsoft Copilot, and the company is highlighting many unique use-cases. In the case of HR, management, pay, leadership, performance management, and other HR-related topics, the Galileo fine tuning turns the Copilot into a world-class HR consultant, advisor, and educator. Stay tuned for more information on this exciting product direction and click here to watch the demonstration released at Microsoft Ignite this week. If you would like to be one of our early customers for Galileo for Microsoft Copilot, please register here. More Information The Josh Bersin Company Partners with Microsoft on Copilot Tuning for HR Experts (article) Fine-Tuning vs. RAG Video Explanation Gen AI Is Going Mainstream: Here's What's Coming Next Galileo: The World's Trusted Agent for Everything HR   Chapters (00:00:00) - Microsoft Copilot: Fine Tuning the AI Agent

Get featured on the show by leaving us a Voice Mail: https://bit.ly/MIPVM Frederick Anaafi shares his journey from Excel trainer to Microsoft MVP, highlighting how AI - especially Microsoft Copilot - is transforming productivity and career paths in Africa and beyond. He offers practical insights on building AI fluency, driving community-led tech adoption, and staying competitive in a rapidly evolving digital economy.

Get featured on the show by leaving us a Voice Mail: https://bit.ly/MIPVMAI in HR tech is evolving fast, but not always meaningfully. Emre Ok shares how to separate hype from real innovation, why context matters more than features, and how remote teams can stay connected in a world of AI-generated feedback. This episode explores practical ways leaders can use AI to enhance - not replace - human connection at work.

Windows 11 just got its most noticeable Start menu revamp in a while, but is it a productivity boost or just more Microsoft meddling? The team digs into Patch Tuesday's big surprises and whether generative tools are transformative essentials or just a passing fad. Windows 11 Patch Tuesday was yesterday, your new Start menu is right where Microsoft left it Copilot+ PCs: Improvements to Click to Do, File Explorer, Voice access, and Windows Search All PCs, eventually: Taskbar improvements, Administrator Protection (off by default), Quality updates Heading into Ignite next week, Microsoft cites recent security wins in Windows 11 and Surface First 26H1 build comes to Canary to prove that there will be nothing new in it, ever Qualcomm takes a one-time $5.7 billion hit thanks to Big Stupid Bill but still nails it in quarterly earnings Microsoft WSJ continues its Microsoft financial accountability criticisms Also reports that internal documents state OpenAI expects to lose $74 billion in 2028, the year Anthropic will break even If Paul starts a business and it loses money for three years in a row, it becomes a hobby. So WTF is OpenAI exactly? AI Microsoft AI creates a Superintelligence team as a sort-of alternative to AGI Microsoft launched .NET 10 at .NET Conf on Tuesday - Plus, Visual Studio 2026 with a new monthly release schedule and Insider versions going forward Double-digit performance improvements again, somehow Uno announced Uno Platform Studio 2.0 with a fun surprise for Paul: They upgraded the original WPF version of .NETpad into a cross platform app in 3 minutes! There will be a demo on Thursday .NETpad is transitioning to WinUIpad with the Windows App SDK rewrite. It is going poorly because Windows App SDK is terrible, cannot be open sourced quickly enough Xbox Steam announces a new videogame console, the Steam Machine! Backbone Pro Xbox Edition is now available Fallout 4 Anniversary Edition is here with with Xbox Play Anywhere support, Creations Halo: Campaign Evolved is coming, so Halo: Infinite becomes a lot more finite Call of Duty Black Ops 6 player on PC? Hope you enjoyed that 180 GB "update" you had to install before playing a year-old game (also got a 6.7 GB update Wednesday. For the love of God) GTA VI has been delayed yet again as it edges into Duke Nukem Forever territory Sony has now sold over 84 million PS5 consoles, meaning it has outsold every Xbox generation ever made Sony is selling a 27-inch gaming display in the U.S. and Japan Tips & picks Tip of the week: Solving the problem over identifying the problem App pick of the week: Tiny11 Builder RunAs Radio this week: Azure Resiliency with Chris Ayers Brown liquor pick of the week: Kyoto Whisky Kuro-Obi Black Belt Blended Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: bitwarden.com/twit outsystems.com/twit auraframes.com/ink zapier.com/windows

Windows 11 just got its most noticeable Start menu revamp in a while, but is it a productivity boost or just more Microsoft meddling? The team digs into Patch Tuesday's big surprises and whether generative tools are transformative essentials or just a passing fad. Windows 11 Patch Tuesday was yesterday, your new Start menu is right where Microsoft left it Copilot+ PCs: Improvements to Click to Do, File Explorer, Voice access, and Windows Search All PCs, eventually: Taskbar improvements, Administrator Protection (off by default), Quality updates Heading into Ignite next week, Microsoft cites recent security wins in Windows 11 and Surface First 26H1 build comes to Canary to prove that there will be nothing new in it, ever Qualcomm takes a one-time $5.7 billion hit thanks to Big Stupid Bill but still nails it in quarterly earnings Microsoft WSJ continues its Microsoft financial accountability criticisms Also reports that internal documents state OpenAI expects to lose $74 billion in 2028, the year Anthropic will break even If Paul starts a business and it loses money for three years in a row, it becomes a hobby. So WTF is OpenAI exactly? AI Microsoft AI creates a Superintelligence team as a sort-of alternative to AGI Microsoft launched .NET 10 at .NET Conf on Tuesday - Plus, Visual Studio 2026 with a new monthly release schedule and Insider versions going forward Double-digit performance improvements again, somehow Uno announced Uno Platform Studio 2.0 with a fun surprise for Paul: They upgraded the original WPF version of .NETpad into a cross platform app in 3 minutes! There will be a demo on Thursday .NETpad is transitioning to WinUIpad with the Windows App SDK rewrite. It is going poorly because Windows App SDK is terrible, cannot be open sourced quickly enough Xbox Steam announces a new videogame console, the Steam Machine! Backbone Pro Xbox Edition is now available Fallout 4 Anniversary Edition is here with with Xbox Play Anywhere support, Creations Halo: Campaign Evolved is coming, so Halo: Infinite becomes a lot more finite Call of Duty Black Ops 6 player on PC? Hope you enjoyed that 180 GB "update" you had to install before playing a year-old game (also got a 6.7 GB update Wednesday. For the love of God) GTA VI has been delayed yet again as it edges into Duke Nukem Forever territory Sony has now sold over 84 million PS5 consoles, meaning it has outsold every Xbox generation ever made Sony is selling a 27-inch gaming display in the U.S. and Japan Tips & picks Tip of the week: Solving the problem over identifying the problem App pick of the week: Tiny11 Builder RunAs Radio this week: Azure Resiliency with Chris Ayers Brown liquor pick of the week: Kyoto Whisky Kuro-Obi Black Belt Blended Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: bitwarden.com/twit outsystems.com/twit auraframes.com/ink zapier.com/windows

Windows 11 just got its most noticeable Start menu revamp in a while, but is it a productivity boost or just more Microsoft meddling? The team digs into Patch Tuesday's big surprises and whether generative tools are transformative essentials or just a passing fad. Windows 11 Patch Tuesday was yesterday, your new Start menu is right where Microsoft left it Copilot+ PCs: Improvements to Click to Do, File Explorer, Voice access, and Windows Search All PCs, eventually: Taskbar improvements, Administrator Protection (off by default), Quality updates Heading into Ignite next week, Microsoft cites recent security wins in Windows 11 and Surface First 26H1 build comes to Canary to prove that there will be nothing new in it, ever Qualcomm takes a one-time $5.7 billion hit thanks to Big Stupid Bill but still nails it in quarterly earnings Microsoft WSJ continues its Microsoft financial accountability criticisms Also reports that internal documents state OpenAI expects to lose $74 billion in 2028, the year Anthropic will break even If Paul starts a business and it loses money for three years in a row, it becomes a hobby. So WTF is OpenAI exactly? AI Microsoft AI creates a Superintelligence team as a sort-of alternative to AGI Microsoft launched .NET 10 at .NET Conf on Tuesday - Plus, Visual Studio 2026 with a new monthly release schedule and Insider versions going forward Double-digit performance improvements again, somehow Uno announced Uno Platform Studio 2.0 with a fun surprise for Paul: They upgraded the original WPF version of .NETpad into a cross platform app in 3 minutes! There will be a demo on Thursday .NETpad is transitioning to WinUIpad with the Windows App SDK rewrite. It is going poorly because Windows App SDK is terrible, cannot be open sourced quickly enough Xbox Steam announces a new videogame console, the Steam Machine! Backbone Pro Xbox Edition is now available Fallout 4 Anniversary Edition is here with with Xbox Play Anywhere support, Creations Halo: Campaign Evolved is coming, so Halo: Infinite becomes a lot more finite Call of Duty Black Ops 6 player on PC? Hope you enjoyed that 180 GB "update" you had to install before playing a year-old game (also got a 6.7 GB update Wednesday. For the love of God) GTA VI has been delayed yet again as it edges into Duke Nukem Forever territory Sony has now sold over 84 million PS5 consoles, meaning it has outsold every Xbox generation ever made Sony is selling a 27-inch gaming display in the U.S. and Japan Tips & picks Tip of the week: Solving the problem over identifying the problem App pick of the week: Tiny11 Builder RunAs Radio this week: Azure Resiliency with Chris Ayers Brown liquor pick of the week: Kyoto Whisky Kuro-Obi Black Belt Blended Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: bitwarden.com/twit outsystems.com/twit auraframes.com/ink zapier.com/windows

In this episode, Kim sits down with corporate strategist and creator Jodie Taylor to unpack the real mechanics of becoming the woman on your vision board. They break down the difference between your zone of excellence and your zone of genius, why effective communication is a power tool, and how asking for help is a strategy, not a weakness.They get into the myth of “just be your authentic self,” why real power comes from your ability to observe and adapt, and what it means to tailor your voice to the room without shrinking. They also explore how Microsoft Copilot can accelerate your creativity and career, and why the truest version of you is the one that is not tied to a paycheck or performance review.Kim's biggest takeaway? Becoming yourself is not a vibe. It is a strategy. And the boldest thing you can do is build the woman you want to be with radical clarity, audacity, and intention.✨ You're Gonna Want to Subscribe to This:Try Microsoft Copilot → [https://copilot.microsoft.com] Drop us a 5-STAR review (with a compliment — we read them all)Follow us (@richlittlebrokegrls) on Instagram for daily clips & chaos → [instagram.com/richlittlebrokegrls]Join the RLBG Community for exclusive events & LIVE girl talks → [richlittlebrokegirls.com/join] Stalk Kim on TikTok & Instagram (@kimberlybizu) for more unfiltered hot takes → [instagram.com/kimberlybizu & tiktok.com/@kimberlybizu]Shop Kim's favorites on ShopMy → [https://shopmy.us/kimberlybizu]Follow Jodie Taylor (@jodietayl) on Instagram → [https://www.instagram.com/jodiektayl/]  

ChatGPT and Microsoft CoPilot are leading the enterprise AI adoption race, with 67% and 58% of businesses utilizing these tools, respectively, according to a study by the Wharton Human AI Research Program. This trend highlights a significant gap between these dominant players and competitors like Claude, Perplexity, and DeepSeek, which have much lower adoption rates. Despite the rapid integration of generative AI into corporate environments, a report from Salesforce indicates that 63% of business leaders consider their organizations data-driven, yet many express uncertainty about their data's reliability and the ability to generate actionable insights.Further complicating the landscape, a report from Ernst & Young reveals that while 75% of UK CEOs recognize the urgency of adopting generative AI, 68% admit to lacking a clear understanding of the technology. This disconnect poses risks for organizations as they navigate AI implementation, particularly in terms of data governance and the potential for costly mistakes in acquisitions and partnerships. The report emphasizes the need for IT providers to assist clients in validating vendors and ensuring responsible AI usage.In addition to enterprise AI developments, the episode discusses the shortcomings of current AI benchmarking practices, with only 16% of evaluated benchmarks employing rigorous scientific methods. This raises concerns about the reliability of claims made by AI vendors regarding their models' capabilities. The episode also highlights the cautious approach of small and medium-sized businesses towards AI in cybersecurity, with only 12% trusting AI to operate autonomously, primarily due to concerns over accuracy and data privacy.For Managed Service Providers (MSPs) and IT service leaders, the key takeaway is the importance of building trust in AI technologies. As the market sees an influx of new models, such as China's KimiK2, which claims to outperform established models at a fraction of the cost, the focus should be on validating these tools and ensuring they meet organizational needs. By prioritizing data governance and compliance, MSPs can position themselves as essential partners in helping clients navigate the complexities of AI adoption and implementation. Four things to know today 00:00 AI Goes Corporate: ChatGPT and Copilot Dominate Adoption as Leaders Struggle With Data Trust and Strategy04:53 Faulty AI Tests and Failing Trust: Oxford Study and Kaseya Report Expose the Gap Between Hype and Reality07:46 From Newsrooms to Courtrooms, AI Adoption Exposes a Trust Gap — and a New Opportunity for IT Providers11:11 AI Divide Widens: China's Free Kimi K2 Model Challenges GPT-5 While Google Locks Users Into a Data-Driven Ecosystem This is the Business of Tech.    Supported by:  https://try.auvik.com/dave-switchhttps://timezest.com/mspradio/

Jen Abel is GM of Enterprise at State Affairs and co-founded Jellyfish, a consultancy that helps founders learn zero-to-one enterprise sales. She's one of the smartest people I've ever met on learning enterprise sales, and in this follow-up to our first chat two years ago (covering the zero to $1 million ARR founder-led sales phase), we focus on the skills founders need to learn to go from $1M to $10M ARR.We discuss:1. Why the “mid-market” doesn't exist2. Why tier-one logos like Stripe and Tesla counterintuitively make the best early customers3. The dangers of pricing your product at $10K-$20K4. Why you need to vision-cast instead of problem-solve to win enterprise deals5. Why services are the fastest way to get your foot in the door with enterprises6. How to find and work with design partners7. When to hire your first salesperson and what profile to look for—Brought to you by:WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUsLovable—Build apps by simply chatting with AICoda—The all-in-one collaborative workspace—Where to find Jen Abel:• X: https://x.com/jjen_abel• LinkedIn: https://www.linkedin.com/in/earlystagesales• Website: https://www.jjellyfish.com—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Welcome back, Jen!(04:38) The myth of the mid-market(08:08) Targeting tier-one logos(10:50) Vision-casting vs. problem-selling(15:35) The importance of high ACVs(20:45)  Don't play the small business game with an enterprise company(25:09) Design partners: the double-edged sword(28:11) Finding the right company(36:55) Enterprise sales: the art of the deal(43:21) The problem with channel partnerships(44:41) Quick summary(50:24) Hiring the right enterprise salespeople(56:49) Structuring sales compensation(01:01:01) Building relationships in enterprise sales(01:02:07) The art of cold outreach(01:07:31) Outbound tooling and AI(01:14:08) Lightning round and final thoughts—Referenced:• The ultimate guide to founder-led sales | Jen Abel (co-founder of JJELLYFISH): https://www.lennysnewsletter.com/p/master-founder-led-sales-jen-abel• Mario meme: https://www.linkedin.com/pulse/missing-meme-led-me-woman-johann-van-tonder-im6df• Kathy Sierra: https://en.wikipedia.org/wiki/Kathy_Sierra• Cursor: https://cursor.com• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• Justin Lawson on X: https://x.com/jjustin_lawson• Stripe: https://stripe.com• Building product at Stripe: craft, metrics, and customer obsession | Jeff Weinstein (Product lead): https://www.lennysnewsletter.com/p/building-product-at-stripe-jeff-weinstein• He saved OpenAI, invented the “Like” button, and built Google Maps: Bret Taylor on the future of careers, coding, agents, and more: https://www.lennysnewsletter.com/p/he-saved-openai-bret-taylor• OpenAI's CPO on how AI changes must-have skills, moats, coding, startup playbooks, more | Kevin Weil (CPO at OpenAI, ex-Instagram, Twitter): https://www.lennysnewsletter.com/p/kevin-weil-open-ai• Anthropic's CPO on what comes next | Mike Krieger (co-founder of Instagram): https://www.lennysnewsletter.com/p/anthropics-cpo-heres-what-comes-next• Linear: https://linear.app• Linear's secret to building beloved B2B products | Nan Yu (Head of Product): https://www.lennysnewsletter.com/p/linears-secret-to-building-beloved-b2b-products-nan-yu• Gemini: https://gemini.google.com• Microsoft Copilot: https://copilot.microsoft.com• How Palantir built the ultimate founder factory | Nabeel S. Qureshi (founder, writer, ex-Palantir): https://www.lennysnewsletter.com/p/inside-palantir-nabeel-qureshi• McKinsey & Company: https://www.mckinsey.com• Deloitte: https://www.deloitte.com• Accenture: https://www.accenture.com• Building a world-class sales org | Jason Lemkin (SaaStr): https://www.lennysnewsletter.com/p/building-a-world-class-sales-org• Peter Dedene on X: https://x.com/peterdedene• Hang Huang on X: https://x.com/HH_HangHuang• Hugo Alves on X: https://x.com/Ugo_alves• A step-by-step guide to crafting a sales pitch that wins | April Dunford (author of Obviously Awesome and Sales Pitch): https://www.lennysnewsletter.com/p/a-step-by-step-guide-to-crafting• Clay: https://www.clay.com• Apollo: https://www.apollo.io• Jason Lemkin on X: https://x.com/jasonlk• Gavin Baker on X: https://x.com/GavinSBaker• Jason Cohen on X: https://x.com/asmartbear• Baywatch on Prime Video: https://www.primevideo.com/detail/Baywatch/0NU9YS8WWRNQO1NZD5DOQ3I8W6• Playground: https://www.tryplayground.com• ClassDojo: https://www.classdojo.com• Jason Lemkin's post about Replit: https://x.com/jasonlk/status/1946069562723897802—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

On this episode of the Scouting For Growth podcast, Sabine VdL talks to Sebastien Denef, CEO and co-founder at AGENTS.inc, a company at the forefront of building intelligent agent platforms for enterprises. On this episode we explore how agentic AI architectures are reshaping industries, what it takes to scale agentic AI solutions across siloes, and why the winners in this space will be those who master both the technology and collaboration. KEY TAKEAWAYS You can give a task to an AI agent – a piece of software – that autonomously handles the task. When compared to previous layers of automation, we can now increase the autonomy level because of the AI models and the increased amounts of data we have.  It's underhyped. The impact we can have with today's technology is very, very big and it will impact all sectors, from education to finding a job, buying a house, buying your groceries, deciding where to go on your weekend where right now we're only seeing the beginnings of what could happen.  Almost the entire industry is trying to improve ChatGPT, to make it a little bit better, we actually see that this chat function isn't really needed. What is needed is having a tireless workforce that tirelessly works for you as AI agents – you don't necessarily want to converse with all of them because there would be too many messages to handle. You need a control interface to steer these new employees. RPA allowed us to move a document from A to B. AI agents will allow us to understand what's inside that document, extract the right stuff, put the right thing into the system, evaluate the information, and so on. All these things were impossible before, that's the big difference and that is possible today. BEST MOMENTS  ‘Think of AI agents as computers that work while you are asleep.'  ‘We will see shifts in entire industries, especially those with large workforces which will no longer be needed, and we will see new stuff coming up because of that.' ‘Companies are only just waking up from the dream that if you use ChatGPT or Microsoft CoPilot you're “AI-ready”.' ‘More than 70% of the work people do right now can be automated.' ABOUT THE GUESTS Sebastien Denef is CEO and co-founder at AGENTS.inc who is inventing the future of human-computer interaction. LinkedIn ABOUT THE HOST Sabine is a corporate strategist turned entrepreneur. She is the CEO and Managing Partner of Alchemy Crew a venture lab that accelerates the curation, validation, & commercialization of new tech business models. Sabine is renowned within the insurance sector for building some of the most renowned tech startup accelerators around the world working with over 30 corporate insurers, accelerated over 100 startup ventures. Sabine is the co-editor of the bestseller The INSURTECH Book, a top 50 Women in Tech, a FinTech and InsurTech Influencer, an investor & multi-award winner. Twitter LinkedIn Instagram Facebook  TikTok Email Website This Podcast has been brought to you by Disruptive Media. https://disruptivemedia.co.uk/

Big AI deals.

On this episode of the Scouting For Growth podcast, Sabine VdL talks to Ulrich (Uli) Homann, Corporate Vice President, Microsoft, and Mark Luquire, EY Global Microsoft Alliance Co-innovation Leader, about how to build an agentic AI enterprise that doesn't just work faster, but works smarter and, most importantly, works for everyone. KEY TAKEAWAYS In the past automation has been very task driven and specific, things had to go in a certain order and you needed to know that order ahead of time. While you need some of that with generative AI, we now have a system that can help do some of that thinking, so if things change in the process along the way, you can deal with it. Now you can rethink what processes even need to exist and focus on the outcome and how to get to it in a new way.  By giving everyone at EY access to generative AI a couple of years ago we learned that people were able to accomplish more more quickly. They used it as a thought-partner, used it as a way to fine tune the product they were working on. Being able to see the evolution of generative AI to now where it's coding applications on its own almost, seeing the new agent capabilities and tools, and being able to take action on its own with very little prompting, it opens the doors to possibilities and what you'll be able to do in the future.  BEST MOMENTS  ‘Focus on where you want to be and then rethink how you're going to get there, that's the real key.' ‘It's not just an assistant to you, providing you with information, it's actually taking on work it's actually thinking through and processing those things as well.' ABOUT THE GUESTS Ulrich (Uli) Homann is a Corporate Vice President & Distinguished Architect in the Cloud + AI business at Microsoft. As part of the senior engineering leadership team, he's responsible for the customer-led innovation efforts across the cloud and enterprise platform portfolio. Previously Homann was the Chief Architect for Microsoft worldwide enterprise services, having formerly played a key role in the business' newly formed Platforms, Technology and Strategy Group. Prior to joining Microsoft in 1991, he worked for several small consulting companies, where he designed and developed distributed systems and has spent most of his career using well-defined applications and architectures to simplify and streamline the development of business applications. Mark Luquire leads the EY organization's global efforts to co-develop innovative solutions with Microsoft and clients, driving growth and accelerating technology strategy. He oversees cross-functional teams spanning sectors and service lines, serving as a key liaison to Microsoft's product and engineering teams. Previously, Mark headed Platform Adoption for EY Global, leading enterprise-wide AI and cloud enablement, including integrating generative AI tools like EYQ, GitHub Copilot and Microsoft Copilot. He also created the first EY Global DevOps Practice and led cloud transformation efforts, making EY a leader in Microsoft Azure usage. Mark's career includes leadership roles in large healthcare enterprises and technology startups, where he established scalable operations, spearheaded digital transformation, and built high-performing global teams. ABOUT THE HOST Sabine is a corporate strategist turned entrepreneur. She is the CEO and Managing Partner of Alchemy Crew a venture lab that accelerates the curation, validation, & commercialization of new tech business models. Sabine is renowned within the insurance sector for building some of the most renowned tech startup accelerators around the world working with over 30 corporate insurers, accelerated over 100 startup ventures. Sabine is the co-editor of the bestseller The INSURTECH Book, a top 50 Women in Tech, a FinTech and InsurTech Influencer, an investor & multi-award winner. Twitter LinkedIn Instagram Facebook  TikTok Email Website This Podcast has been brought to you by Disruptive Media. https://disruptivemedia.co.uk/

Apparently this week was the week of Agentic Browsers?