Podcasts about data sovereignty

What happens when agentic AI systems move faster than traditional security playbooks? How should organizations think about voice cloning, deepfakes, data sovereignty, and emerging AI-enabled risks before they become operational crises?In April 2026, host Bidemi Ologunde joined Joe Gellatly, the CEO and Co-Founder of Medcurity, as a guest on the Medcurity Podcast for a conversation on agentic AI, voice cloning, deepfakes, data sovereignty, and the widening gap between AI adoption and security readiness. This episode presents that discussion and examines how organizations can build smarter security habits as AI-driven risks accelerate. 

Agentic AI is putting a 400x load on enterprise networks. Cisco and NTT Data experts reveal why only 13% of leaders successfully scale AI, the nightmare of quantum threats, and how to secure your infrastructure. Big thank you to NTT DATA for sponsoring this video. Book an AI Infrastructure Readiness Assessment using one of the following links: https://services.global.ntt/en-us/cam... or https://services.global.ntt/en-us/cam... // Vikesh Gumpalli's SOCIAL // LinkedIn: / vgumpalli // Vance Baran's SOCIAL // LinkedIn: / vancebaran // Website REFERENCE // https://www.nttdata.com/global/en/ https://www.nttdata.com/en-us/2026-gl... // David's SOCIAL // Discord: discord.com/invite/usKSyzb Twitter: www.twitter.com/davidbombal Instagram: www.instagram.com/davidbombal LinkedIn: www.linkedin.com/in/davidbombal Facebook: www.facebook.com/davidbombal.co TikTok: tiktok.com/@davidbombal YouTube: / @davidbombal Spotify: open.spotify.com/show/3f6k6gE... SoundCloud: / davidbombal Apple Podcast: podcasts.apple.com/us/podcast... // MY STUFF // https://www.amazon.com/shop/davidbombal // SPONSORS // Interested in sponsoring my videos? Reach out to my team here: sponsors@davidbombal.com // MENU // 0:00 - Coming Up 01:09 - Introduction 03:04 - Enterprise AI Adoption: The Board-Level Challenge 05:02 - How AI Agents Are Reshaping Network Infrastructure 07:22 - AI Agent Access, Sensitive Data and Security Risks 10:24 - Cybersecurity at Machine Speed and Modernising Security 14:08 - AI Budgets, ROI and Business Readiness 15:00 - AI's Impact on Jobs and an Insurance Case Study 19:08 - Data Sovereignty and Custom AI Models 22:18 - AI Factories, Edge Deployment and Public-Sector Use Cases 26:31 - Preparing for Quantum-Safe Security 28:43 - Managing Multi-Vendor Environments and Security Readiness 32:09 - Live Protect and Hybrid Mesh Firewalls 34:04 - Splunk, Galileo, AI Observability 36:33 - Where to Learn More Please note that links listed may be affiliate links and provide me with a small percentage/kickback should you use them to purchase any of the items listed or recommended. Thank you for supporting me and this channel! Disclaimer: This video is for educational purposes only.

In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the growing tension between businesses and software vendors, sparked by recent privacy policy changes at major platforms, and the fundamentals of AI data sovereignty. You will discover how to spot risky service rules before they impact your daily work. You will learn practical steps to evaluate whether building custom internal tools makes sense for your team. You will find out how to review agreement changes without getting lost in confusing language. You will gain confidence to protect your valuable information and keep full control of your digital assets. 00:00 – Introduction 01:45 – HubSpot triggers data sharing controversy 05:30 – The hidden costs of vendor lock-in 10:15 – Can AI replace expensive software subscriptions? 14:40 – Building custom tools in-house 19:20 – The importance of the 5P framework 24:10 – Reviewing service agreements quarterly 28:50 – Final thoughts and next steps 32:15 – Call to action Watch this episode to learn how you can take back control of your software and data today. Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-what-is-ai-data-sovereignty.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 a very popular term these days which is data sovereignty, AKA owning your data and who owns your data. In the news recently, HubSpot made an announcement last week that caused a firestorm of commentary. Appropriately so when they said that to better improve HubSpot’s predictive abilities in your CRM, customers would be able to share data and see data from other HubSpot accounts to predict the likelihood of a certain type of sale closing. Now they did say that it would be something that you could opt into, although that was not super clear. And the terms of service were vague enough that if you were an eagle-eyed legal expert, which we are not, you could say, yeah, we’re going to do this regardless. LinkedIn exploded, threads exploded, Twitter exploded, and HubSpot walked it back over the weekend to say we screwed up. And to that credit they said we screwed up. We didn’t do our homework on this. We’re not going to make this terms of service change. However, there are still two consequences. One, folks have pointed out they didn’t say they weren’t going to implement the feature, they just said they’re not going to change the terms of service this way. And two, the big question that a lot of folks have is from a customer’s perspective, this was kind of a big deal in terms of violation of trust, which is a really important thing. And one commenter said it took HubSpot twenty years to build trust in four days to screw it up. Now again, to their credit, they did walk it back. But Katie, what’s your take on this, particularly as it relates to the integrity of our data? Because as we see these days more and more, every AI company is saying we need more data, so we’re just going to come in and take it well. Katie Robbert: And that’s always been the risk with using these software vendors is they can change things on a whim. And yeah, you can blow up social media and say I’m so mad at this. That doesn’t mean they have to do anything about it because guess who already has your data? Guess whose system you are already integrated to, guess whose system you have built connectors to and tapped into the API of, and you are building your whole business around. So the cost of switching is incredibly high and incredibly painful, and you’re not necessarily going to find a vendor that’s doing things any more ethically or doing things in a way that their governance aligns with what you want to see. Because again, to that comment, HubSpot spent twenty years building trust and then they decided to change it. I call BS on the we didn’t do our homework, we screwed up. Really. The size of company that you are, you don’t just change things on a whim. This is something that has likely been on your roadmap for a very long time. It was just a matter of trying to figure out how to do it in a way that you could sneak it in. But still, July fourth, holiday weekend. Well yeah, so there’s that. But legally, the language holds up. They worked with their lawyers, they worked with their IT department, they worked with whoever is involved in that change. It wasn’t an oopsie, we didn’t do our homework. No, I’ve worked in a large organization. I know how these things happen. There is no oopsie, we screwed up. You didn’t. You got caught, period. And your customers are angry. But guess who’s not going to stop being a customer anymore? Your customers. And they already got the data. Nowhere in that did they say and we’re going to repartition the data or we’re going to unshare the data. They were just like oopsies, you caught us. Okay, where is it? Oh, it’s over here. Here we go. That gets a red flag today. It gets a huge red flag because more and more, it’s Google adding AI into workspace conversation all over again. When my mother-in-law was here, she kept complaining about how Google was making suggestions in her Gmail. You can turn that off. Well, what if I need it? Then don’t complain about it. But Google made this change where it’s looking at all of your emails, it’s looking at all of your chat conversations, it’s looking at all of your stuff. Google has been looking at your web searches for however long web search has existed. On the one hand, I can understand the outrage of customers of a CRM saying I thought you were protecting my data. On the other hand, I’m a little surprised at people’s sort of naive perspective that our data was private in the first place. And I’m sort of like, so bad on the CRM, but also bad on the consumer for not being more informed that nothing is private. Like your Social Security number. It exists in a million places. People just haven’t decided that you’re the person that they want to steal the identity of. Maybe you’re not that interesting. I don’t know. Okay, I’m going to red flag myself. That was terrible. Red flag myself, sorry. Christopher S. Penn: It does raise the question, and this is something that vendors in particular have not thought a lot about. Generative AI in its current incarnation is best at software development. That is the number one task being used for. It is what is most skilled at, is what has been tuned the best for. Which means that if you are a SaaS provider, you are skating on very thin ice because you are one prompt away from a customer saying, screw it. I’m going to try vibe coding it myself. And whether or not that’s a good idea, we’ll put that aside because we’ve talked about that in the past. The reality is that with skilled use of these tools, you could say we’re just going to bring this in house. And we’ve done that. I’ve done that even on my personal blog, on my personal website. I said, you know what, I don’t want to pay for this plugin anymore. I’m just going to bring this in house and stop paying for this. And over time, you see the bills going down as you bring in more stuff in house because your AI tool that you built it with is also the AI tool you provide support to yourself with, so you don’t have to pay for the additional upkeep. One of the biggest moats that SaaS has always had was, hey, you don’t want to do server maintenance, you don’t want to do software maintenance, you don’t want to do any of that stuff. Pay a vendor to do it. Well, now it’s like I have basically a junior employee, right? Because we’ve talked about how tools like Claude Code basically are junior employees. I have a support resource. It may not be perfect, but it gets better every day. And so for marketers, for business folks, for folks who are looking at particularly operations folks, as you’re auditing your tech stack and as you’re seeing changes happen to your point, Katie, and vendors trying to cram AI into everything, the question has to become at what point do people start bringing things back in house, given the capabilities of what even a $20 a month AI subscription can do for you? Katie Robbert: I think for a lot of companies, that’s definitely something they’re thinking about. But you’re still talking about a whole suite of skills. You’re still talking about a software developer, you’re still talking about an IT person, you’re still talking about QA, a database architect. Sure, AI can do that stuff, provided you know how to tell IT what to do. And so for us, I would say you have some of those skills, but you do not encompass the skill sets of all four of those individuals. So I would be hesitant to say, sure, we can just have whatever you’ve built, manage it and get rid of this other vendor. We’re not there yet. I can see us getting there. Companies who have none of those skill sets because that’s not what they do. Think of perhaps a creative agency that really works on front-end design and branding. They don’t have the skill sets in house to do this. So even though AI can do a lot of those things, they still have to have someone to tell the AI what to do and stand it up and manage it. That data has to go somewhere. That data still has to be secure in some way. So you still need someone who understands database architecture, who understands servers. I hear what you’re saying and there is a reason why the majority of us turn to vendors like you, just handle it. Saying we can handle it ourselves in house is not as easy as it sounds like. Yeah, it’s an empty threat to the vendors. Especially if you’ve never stood up a server. You don’t know what goes into good data privacy. You are just vibe coding your own version of a CRM. That is a recipe for disaster and it’s likely going to lead to data leaks in some way of your most valuable data. So I hear what you’re saying, Chris. I think that a lot of companies are going to put that on their roadmap of what does it look like for us to build this in house for ourselves. I think that is more possible than it ever has been. But there’s still a lot of caveats with that. I’m saying to do it the right way, you need those skill sets. It doesn’t mean you can’t just go ahead and do it. Christopher S. Penn: It’s true. I do think there’s a space for consultancies and agencies to operate, particularly if you’re a hybrid agency where you have an IT consulting capability. I think, for example, IBM IX as one example, that’s a blend where that might be a realistic choice to say we have our trusted agency that we work with and we don’t like what we see. A HubSpot or Salesforce or whoever doing it, we don’t need it. John was at Salesforce Connections not too long ago and was saying that it’s Agentforce, everything is Agentforce and AI agents. And there are a lot of folks saying we don’t need that nor do we need to pay for that. We can take Sugar CRM, which is a free open source product, with our existing IT agency with the assistance of AI, with their help because they do know servers and they do know this. We’re going to stop paying Salesforce $3 million a year and instead pay our agency maybe $2 million a year to run it for us and save a million bucks a year. And we won’t have all this extra stuff that nobody asked for and that doesn’t fit their business case for it. And I think there is an opportunity in the marketplace for that. Katie Robbert: I agree. But let me counter with this question. You know, we have collectively put a lot of stock and time into these large language models. We’ve also seen instances where a company rolls back the large language model that they rolled out for a variety of reasons. What risk are we taking by then saying well, I’m going to fire the vendor, I’m going to build it myself because I have a large language model? And then tomorrow the large language model gets shut down. So you fired your vendor, you don’t have a large language model. What do you do? Is that a real risk? As someone who is very risk averse, I should be thinking about this in terms of business continuity planning. If you are tied into only working with one vendor, for example Anthropic, and as we saw in recent events the U.S. government said you can’t have that model in public, yes, that is a risk. Christopher S. Penn: However, if you are a multimodal aware company and you know where to find GLM 5.2, which we have through our Deep Infra subscription, and you know how to host models locally, which we’ve talked about in previous episodes of the podcast and the live stream, your risk is significantly reduced because you have more options. That’s what I learned from you, the more realistic options you have, the lower your risk because you have backup plans, you have backups to your backups. And if you are working in the AI space today and you have integrated AI and it is now a risk because your business is so dependent on it, you would better have those backup plans handy. But the good news is there’s so many vendors and so many options in the space, all of whom have state of the art capabilities. If Anthropic or OpenAI went away tomorrow, just flip to the next vendor with this model. Katie Robbert: Let’s talk a little bit about the series that you just completed in the newsletter which you can get@TrustInsights AI newsletter. You talked a lot about Enterprise AI. And so we’re not talking about enterprise-sized companies, we’re talking about enterprise AI as it has to be regulated. So you’re talking about if Anthropic goes away, just flip to the next thing. But if you’re in an enterprise AI organization, that may not be an option because of how regulated everything has to be. So can you speak a little bit to that? Christopher S. Penn: Yeah. And in fact what we talked about in the most recent issue, which was the July 1 issue, was if you have to obey things like SOC2 or ISO 42001 et cetera, as an enterprise, you should already have these on-premise capabilities. Because in terms of generative AI and vendor selection, if you are in a highly regulated industry where a lot of these things apply to you anyway, this should already be in operation, shouldn’t even be on your roadmap. It should be in operation. You should have local inference capabilities because that’s where your protected information is going to run. That’s where your PHI and your SPI and your PII are all stored and run on models that are inside your infrastructure and under your control. And no data leaves. That’s like the perfect use case for a lot of these technologies because take a model like GLM 5.2, it is an OPUS class model. It is very smart. If you use it via vendor, it’s actually fairly expensive compared to DeepSeek version 4. However, it’s still cheaper than Claude by a 10x. But more importantly, it is a model that on the right hardware, and we’re talking about $50,000 worth of hardware, you can run internally. Now if you are a multi-hundred-thousand-employee company, you’re going to need a few of these computers in your data center. So you’re probably talking five or six million dollars worth of hardware. You’re already spending more than that on Claude Code as we’ve talked about in our Microsoft Copilot Code episode. You’re going to spend that in two months. So you absolutely should have those capabilities internally already. And if you don’t, you are behind. I mean, there’s no polite way to say that. Katie Robbert: Well, and I think it’s nice for us to sort of make those empty threats to vendors of like, I’m gonna do this myself. And then you’re like, I have no idea how to do this. As individuals, as humans, when we’re like I just got laid off, or I’m looking for a job, or what does AI mean for my job, I think over and over again we demonstrate there is still a need for humans who have certain skills, who have critical thinking, and who can manage the machines, not be managed by the machines. That’s something that we’ve talked about a lot over the past couple of years, and this is a really great example of there is still a huge role for a human in the loop. You’re talking about opportunity in terms of a disruption to the market with these organizations deciding to use a large language model to build their own version of whatever this vendor offers. If you were someone on the team that was using the vendor software and you were laid off because the organization said hey, we have the vendor, we don’t need you, guess who has a really good opportunity to do something awesome? You can go and be like well, I know this vendor software inside and out. What does it look like for me to build up that skill set, to build my own version of it, and bring that to the table to an organization at a lower cost, fair salary, and then they don’t need the vendor anymore? Christopher S. Penn: Mm. Yep. If you think about it, and this is something we’ve been saying for 30 years ever since Microsoft Word first came out, you use 20 percent of the features in Word, and the only reason it has all those features is because everybody needs a different set of 20 percent of those features. A law firm has very different use cases for Microsoft Word than we do. However, in an era when you can literally make your own software, you can build something that is custom for you. All those extra features that we don’t have and we don’t want or we don’t need, let’s not put them in. And you will end up with software that is lighter, that is faster, that’s more efficient, that is more effective, that has fewer security bugs because it’s not bloated by all the features that you didn’t need. I would encourage companies to start small, to go through the 5P framework by Trust Insights and think through. Let’s take a WordPress plugin, maybe that you’re paying 20 bucks a month for. What does it do? How do you use it? Your purpose, who uses it? How does it work? What technologies does it rely on? And how do you know that it works? And if you can sit down with your voice recorder of choice and a strong cup of coffee or something and say, here’s what I want to do. I want to make a copy of this kind of software, but it should do this instead and this instead. Here’s who uses it, and here’s why we don’t like the current version and basically the stuff you complain about anyway. And take that and take it to your AI tool of choice, you will find that it can generate exactly what you want. And again, start small. A single plugin, a single utility. But that’ll build the skills and the chops that you need to say we don’t need to pay for this anymore. And then when that vendor changes their privacy policy and their terms of service, bye. Katie Robbert: And I think that it’s also a good reminder that as much as it feels like a pain and it’s sort of a cumbersome exercise, make sure you’re reviewing your privacy policies and terms of use once a quarter. Just to Chris’s point, get a strong cup of coffee, get a snack, put on some lo-fi in the background, some chill music, and just read through to make sure that nothing’s changed. And if something has changed, make sure you’re aware of what’s changed. Companies will say hey, we told you. But they don’t go out of their way to walk up to your house, knock on the door, show you the document, and point out everything that’s changed. They just put it out there. Christopher S. Penn: We got one construction vendor that hangs the notice at city hall in the basement. We followed the letter of the law. Katie Robbert: Yeah, legally, we did what you were supposed to do. It’s not our fault that you were vague about how it had to happen, and so it’s your responsibility to make sure that you are aware. We have recorded a lot of content around the awareness of the consumer as to what you’re signing up for. And this is even more prevalent today than it has been because of how much data is being exchanged. Data is the most coveted currency of all of these vendors. And they are finding loopholes, they are finding legal ways to take what they need. And to be quite honest, they’ve always owned the data. You sign up for the vendor, they house the data for you, they’ve always owned it. It’s the same story unfortunately of you’re renting from a landlord. Landlord can decide tomorrow, I want this building back. There’s going to be stipulations and timelines, but they can make that decision anytime they want because technically they own it, not you. Christopher S. Penn: Yep, this is a chicken farm now. Everybody out. And that is the legal reality. Katie Robbert: And so there’s two aspects to this data sovereignty, right? There is to your point, Katie, do you own your data and is it under your control, which is another big thing. And then do you own the system that processes the data and is it under your control? Christopher S. Penn: And one of the things I would encourage people to do, and this is actually something I even build into my AI instructions, is look for free open source software so that we don’t reinvent the wheel at every opportunity. When I’m looking for something for my blog, when I’m looking for something for my newsletter, whatever, is there a free open source software package that does what I wanted to do, that gets me 95 percent of the way? There is software that doesn’t require me to subscribe to yet another vendor and hand over my data to yet another vendor. And the answer increasingly is yes. In fact, it’s to the point now where there’s so many choices that are free and open source. Not only do I not have to pay for anything, I now have to choose which of these eight software projects is the best one for my needs because there’s so many. And do I want to customize it further for my use? Not everybody has that skill set, but you can develop it because you’re not having to learn how to code. You’re learning how to ask good questions and develop a good vocabulary. Katie, you could do this today using the 5P framework by Trust Insights. Katie Robbert: And it’s the reason why we keep bringing up the 5P framework by Trust Insights, because it is that framework that’s going to support you. It’s foundational. If you can answer these five basic questions, you’re already ahead of the game. When we talk about vibe coding, we want you to do this first. Don’t just open up a large language model and say I want to build my own CRM. Go, no, that’s a bad idea. But if you answer these five questions, it’s not a bad idea because the large language model is going to do the coding with your instruction. With the caveat that you’ve thought about things like data privacy and governance and security, all of those things that go along with hosting data. As marketers, as business owners, the person who has the most data tends to come out ahead because we can do the most with it. And that’s what these vendors are trying to sell you on. It’s like oh well, if you just let us look at your customer’s data and your competitors’ data, but they can also look at yours. Everybody wins, right? No, no, don’t do that. Would I love to take a look at some of my competitors’ data? Absolutely, but only in a very legal way. That also means they couldn’t look at my data. And that’s just not how that works. So you need to think about a couple of things. One is what is your level of risk aversion? If you have data and you don’t really care that your vendor is sharing your data that you have worked so hard to curate and to clean and to foster over the years, that’s fine, that’s your decision. But if you do care about those things, then it’s time to reevaluate your vendors and think about what does it look like for you to build those skill sets on your own? And it’s not impossible anymore. You have a lot of considerations. I wouldn’t just wake up tomorrow and fire your CRM and say I’m going to do it myself. Maybe give it a little more thought than that. But as you’re thinking about it, think about what does it look like? What does that long-term maintenance look like? Could I do this myself? Could I bring on a contractor to help me do this? Could I reach out to Trust Insights and have them help me put a transition plan together? The answer is yes, we could absolutely do that. But it’s worth thinking about. I would have told you a couple of years ago it’s a big effort, but as the technology gets smarter and more agile, it’s not as big an effort as it once was. It is possible. There’s more human upfront thinking that has to be done. But guess what? That’s what we’re here for. Christopher S. Penn: Exactly. Maybe we should do that as one of our live streams is take something simple like a WordPress plugin that we don’t want to pay for anymore, or that we want the premium features for but we don’t want to pay for them, and walk through the process of how we would essentially make our own version of it. Katie Robbert: It’s a good idea. Christopher S. Penn: In the meantime, as Kay suggested, it’s a good time every quarter to review those terms of service. Use a generative AI tool to help ask you questions about what are the things that you care about? And then have it help you read through the document. Don’t have it do it for you, but have it help you by asking good questions. And if you’ve got some thoughts you’d like to share about things like what’s happening with your data in the hands of your vendors and you want to share your experiences on Popeye or Free Slacker, go to TrustInsights AI Analytics for Marketers, where you and over 4,700 other marketers are asking and answering each other’s 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 set, go to TrustInsights AI TI podcast. You can find us at all the places fine podcasts are served. Thanks for tuning in. Talk to you on the next one. Katie Robbert: 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 Insights 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 live stream webinars and keynote speaking. What distinguishes Trust Insights in 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.

Carolyn Woodard covers the UN's first-ever independent scientific assessment of AI — and what its findings mean for nonprofits navigating questions of data rights, economic disruption, and who actually benefits from AI's rapid rise. This episode connects the global governance conversation to practical tools and timely opportunities your organization can act on right now.From the Indigenous Data Sovereignty movement to a free geospatial tool built by a nonprofit, to two fellowship programs with deadlines this week, there's a lot here for organizations at every stage of AI engagement.This episode covers:Released July 1, the UN's Preliminary Report of the Independent International Scientific Panel on AI — co-chaired by AI scientist Yoshua Bengio and Nobel Peace Prize-winning journalist Maria Ressa — warns that AI is advancing faster than governments can keep up, and that the window for effective global governance is open but closing. The US controls 75% of the world's top AI computing power; China holds another 15%.The Indigenous Data Sovereignty movement holds that data about a community belongs to that community, not to whoever collected it. This principle, developed largely by Indigenous communities, is one of the most fully realized frameworks for data rights globally and directly informs broader movements like the Better Deal for Data (discussed with Jim Fruchterman last Friday). The Indigenous Data Alliance has an open application for its year-long paid Indigenous Data Champions Fellowship, open to Indigenous individuals working with Tribal Nations, Alaska Native communities, Native Hawaiians, or Indigenous Island Territories. Deadline: August 1.Beacon, from nonprofit DataKind, is a free geospatial platform that you can use to overlay public data on health, housing, food access, demographics - with your own program data, to generate maps and insights. DataKind does not sell your data, doesn't share it without consent, and writes its privacy policy to GDPR standard. As with any platform, consult your privacy officer before uploading sensitive constituent data.GDPR (General Data Protection Regulation) is the EU's gold standard for data privacy, and it applies to your organization if anyone in the EU interacts with you, regardless of where you're based. Core principles: collect only what you need, be transparent, get consent, tell everyone in your database if you have a breach, and honor deletion requests. Note: California's CCPA/CPRA is modeled on similar principles, though most nonprofits are exempt from that law. Even if neither applies to you, these are excellent data hygiene standards for any organization that wants to maintain community trust.UBI (Universal Basic Income) gives individuals direct cash payments with no strings attached. UBC (Universal Basic Capital) gives people an ownership stake in AI companies, so they share in the wealth AI generates. Senator Bernie Sanders recently introduced the American AI Sovereign Wealth Fund Act, which would give the public a 50% ownership stake in major AI firms. Anthropic's June 2026 Economic Policy Framework also proposed sovereign wealth funds and equity-sharing as potential redistribution mechanisms — acknowledging that the companies building these tools see real policy problems ahead.Two fellowship deadlines this week: the OpenAI People-First AI Fund offers grants to US community nonprofits in legal aid, community arts, and local journalism — no AI experience or OpenAI tools required, deadline July 15. Claude Corps from Anthropic places early-career fellows at nonprofits for one year at $85K; both fellow and host org applications for the October 2026 cohort close July 17. Note: host orgs must currently be Claude for Nonprofits customers to apply.Resources Mentioned:Executive Summary – Independent International Scientific Panel on AI – United Nations – https://www.un.org/independent-international-scientific-panel-ai/en/preliminary-reportIndigenous Data Champions Fellowship – Indigenous Data Alliance – https://indigenousdata.org/indigenous-data-championsBeacon – DataKind – https://explorebeacon.orgGDPR for Nonprofits – Whole Whale – https://wholewhale.com/tips/gdpr-for-nonprofits/GDPR Compliance Checklist for Charities – Usercentrics – https://usercentrics.com/knowledge-hub/gdpr-for-charities/California Consumer Privacy Act (CCPA) – California Attorney General – https://www.oag.ca.gov/privacy/ccpaBernie Sanders on the AI Sovereign Wealth Fund – WIRED – https://youtu.be/qJo12OP0xlU?si=QrXlo4bP5MiCdbrtAmerican AI Sovereign Wealth Fund Act – Senator Bernie Sanders – https://www.sanders.senate.gov/press-releases/news-sanders-introduces-legislation-to-create-7-trillion-ai-sovereign-wealth-fund/Economic Policy Framework – Anthropic – https://www.anthropic.com/policy-on-the-ai-exponential/epfThe Atlantic: Universal Basic Capital revival – https://www.theatlantic.com/economy/2026/07/universal-basic-capital-ai/687759/ (paywalled; free account access available)Forbes: Could Americans Build Wealth Through AI? https://www.forbes.com/sites/alisondurkee/2026/06/06/could-americans-build-wealth-through-ai-why-trump-may-be-considering-equity-sharing-scheme/People-First AI Fund – OpenAI Foundation – https://openaifoundation.org/news/2026-people-first-ai-fundClaude Corps – Anthropic – https://www.anthropic.com/claude-corpsBetter Deal for Data – Tech Matters – https://bd4d.orgAI Acceptable Use Policy Template – Community IT Innovators – https://communityit.com/template-acceptable-use-of-ai-tools-in-the-nonprofit-workplace/ _______________________________Start a conversation :)Register to attend a webinar in real time, and find all past transcripts at https://communityit.com/webinars/email Carolyn at cwoodard@communityit.comon LinkedIn on reddit/r/nonprofitITmanagementon the Community IT websiteThanks for listening. 

In this episode of Road to CTO, Jennifer Woodard shares her remarkable journey from founding a startup as a non-technical leader to becoming the CPTO of an AI-native company. Jennifer breaks down the reality of earning technical credibility, the importance of European AI sovereignty, and why the "imposter syndrome" is a constant companion even for established experts. We also discuss the shifting landscape of tech hiring and the lessons learned from a six-figure technical mistake.Support the show

The CBN's directive to payment service providers to store payment transaction data generated within Nigeria on local servers is coming in timely, and might force establishment or acceleration of domestic technological structures to achieve that.

SUMMARY: Are CEO's frustrated with the lack of control, costs and sovereignty of their AI environments? SHOW: 1042SHOW TRANSCRIPT: The Enterprise AI Show #1042 TranscriptSHOW VIDEO: https://youtu.be/xgQv8WP-DNISHOW SPONSORS:ShareGate - ShareGate Protect. Microsoft 365 Governance, we got this!Nasuni - Activate your data for AI and request a demoSHOW NOTES:Palantir and NVIDIA partnership (June 2026) - first 11 minutesPalantir CEO (Alex Karp) on CNBC“The VPC Privacy Illusion - Why Private LLMs still expose your data”The biggest mistake organizations make isn't choosing the right model, it's focusing on models at all (via LinkedIn)There's a level of unhappiness and distrust of the frontier labs from CEOsThere needs to be an application layer on top of LLMs (e.g. “harness”, Palantir Ontology)This application layer prevents the LLMs from learning your business from your data“Alpha” is business differentiation (ability to outperform the market)He questions why the frontier model labs are charging by tokens and not outcomes (questions the entire AI business model)He questions “the true cost” of AI outputs He claims that CEOs are now concerned about frontier labs entering the business of the customers - brings up an interesting misunderstanding of how interacting with LLMs works (“we're safe, it's deployed in our VPC”)FEEDBACK?Email: show @ the enterprise ai show dot comeBluesky: @TheEntAIShow.bsky.socialTwitter/X: @TheEntAIShowInstagram: @TheEntAIShow

THE EVOLUTION OF TALENT CRMS (Building Talent Communities in the Agentic Era)   The recruitment technology stack is undergoing its most profound transformation since the shift from paper CVs to applicant tracking systems. Autonomous AI agents—capable of reasoning, planning, and executing complex workflows without human intervention—are now infiltrating every stage of the talent lifecycle, rendering traditional CRM architectures obsolete. The passive database of yesterday, where candidate records sat dormant until manually activated, is giving way to dynamic, self-orchestrating ecosystems where agents continuously nurture, assess, match, and engage talent at scale. For talent acquisition leaders, the question is no longer whether to adopt agentic technology, but whether their CRM infrastructure can survive the transition—or become a costly legacy anchor dragging strategy backward.     • From Database to Ecosystem – Why legacy CRM architectures, built for human-driven search-and-retrieve, collapse under the demands of autonomous agent orchestration   • Agentic Capabilities Defined – Distinguishing between automation (rule-based) and true agentic AI (goal-directed reasoning) in candidate engagement and pipeline management   • The Always-On Pipeline – How agentic CRMs transform talent pools from static repositories into living networks that self-nurture, self-qualify, and surface opportunities without recruiter intervention   • Hyper-Personalisation at Scale – Whether AI agents can replicate—or exceed—the authenticity of human relationship-building without triggering candidate alienation   • Data Sovereignty and Trust – Navigating the ethical and compliance minefield of agents autonomously interacting with candidates, processing sensitive data, and making consequential decisions   • The Recruiter Redefined – How agentic CRMs shift the human role from execution to exception-handling, strategy, and high-stakes relationship stewardship     • Measuring Agentic ROI – Moving beyond vanity metrics to evaluate whether autonomous systems genuinely improve quality of hire, time-to-productivity, and candidate experience   • Vendor Landscape Reality – Cutting through the marketing noise to identify which CRM platforms are genuinely agentic-ready versus those simply rebranding automation   Watch this essential discussion to future-proof your technology strategy. The agentic era will not wait for hesitant adopters—and the CRM decisions you make today will determine whether your function leads or is rendered redundant by those who moved faster.   We're on Friday 3rd July at 2pm BST. Register by clicking on the green button (save your spot) and follow the channel here (recommended).     Ep391 is supported by our friends at Joveo   High-Performance Recruitment Marketing Powered by Agentic AI. Integrated Talent Attraction - everything before the ATS.   Find out more here

There are roughly 11,000 data centres in the world. Canada has about 300. The United States has 5,000 and that number is growing fast. Canada is putting real money behind sovereign AI compute. But what does data sovereignty look like on the ground In this episode of Disruptors, John Stackhouse visits Global Relay's data centre in North Vancouver to see the physical side of the cloud: cooling systems, backup power, biometric access, data halls, and AI racks. Global Relay Chief Product Officer Sahar Kayhani explains how the company manages communications data for highly regulated industries and why the infrastructure behind that data is becoming as important as the data itself. Warren Roy, Global Relay's founder and CEO, joins the conversation to discuss why the company chose to build its own cloud, and share his thoughts on what Canada needs to do to develop more technology companies rooted here. For more RBC Thought Leadership on AI, healthcare, productivity and Canada's innovation economy, visit rbc.com/thoughtleadership. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

What does it take to back a technical founder before there's a product, a customer, or a dollar of revenue? Ashmeet Sidana has been doing exactly that — and he's been oversubscribed on every fund he's ever raised.Ashmeet is the Founder and Managing Partner of Engineering Capital, a seed-stage venture fund he runs as a solo GP in the Bay Area. A Stanford-trained engineer and former product leader at VMware, he brings one of the sharpest technical lenses in early-stage venture.⭐ Sponsored by Podcast10x - Podcasting agency for VCs - https://podcast10x.comIn this episode we cover:→ Why software still holds 63,000x more opportunity than hardware→ Data as the new asbestos — and the AI slop contamination loop→ Data sovereignty and the rise of isolated global cloud regions→ Big tech's structural blind spots and the Gandhi model for startups→ Backing technical founders at day zero, before product or revenue→ Why running a fund alone is a structural advantage, not a risk→ The VMware lesson every AI infrastructure founder needs to hearLinks:Engineering Capital: engineeringcapital.comConnect with Ashmeet on X: ashmeetsidana Connect with Prashant: https://linkedin.com/in/choubeysahabSubscribe to VC10X newsletter - ⁠https://vc10x.beehiiv.com⁠Subscribe on YouTube - ⁠https://youtube.com/@VC10X ⁠Subscribe on Apple Podcasts - ⁠https://podcasts.apple.com/us/podcast/vc10x-investing-venture-capital-asset-management-private/id1632806986⁠Subscribe on Spotify - ⁠https://open.spotify.com/show/7F7KEhXNhTx1bKTBFgzv3k?si=WgQ4ozMiQJ-6nowj6wBgqQ⁠VC10X website - ⁠https://vc10x.comTimestamps:(00:00) - Preview(01:22) - Introduction to Guest Ashmeet Sidana & Episode Overview(03:00) - The Interconnect Layer Bottleneck in LLM Training(04:52) - Physical Limitations: From Silicon Availability to Megawatt Capacity(06:01) - Powering Data Centers: Consistent vs. Intermittent Energy Sources(08:21) - The Case for Software: Unlocking 63,000x Performance Gains(11:12) - Data Sovereignty and the Rise of Independent Cloud Regions(13:19) - How Engineering Architectures Must Evolve to Handle "AI Slop"(16:57) - Can AI Be Used to Detect AI-Generated Slop?(18:26) - What Happens When a New AI Architecture Replaces the Transformer?(20:19) - Startup Opportunities Arising from the Legacy CPU Stack(21:48) - How Startups Can Compete with Big Tech's Infinite CapEx(25:34) - Identifying Big Tech's Structural Blind Spots in the AI Cycle(28:22) - Early Signals of Commercial Instinct in Technical Founders(29:47) - How to Pressure Test a Founder's "Technical Insight" at Day Zero(31:45) - The Solo GP Advantage: Turning Key Man Risk into Structural Alignment(34:51) - Transitioning from an Operator to a Venture Capitalist(36:34) - Managing the Workload as a Solo GP(39:30) - Why AI Startups Struggle to Find a Specific Niche like VMware's Server Consolidation(41:17) - Rapid-Fire Round: Investment Thesis(42:40) - Rapid-Fire Round: How Founders Can Get in Touch(43:05) - Rapid-Fire Round: Where to Follow Ashmeet Sidana

Artificial intelligence is rapidly shaping economic transformation, competitiveness, public services, and the future of work. At the same time, it raises important questions about trust, skills, inclusion, data protection, and the role of governments in guiding technological change. In this episode, Scott Bradley, Vice-President of Government Relations at OpenText, discusses how countries in the Americas and the Caribbean can participate meaningfully in emerging innovation while addressing the broader impacts of AI on societies and labour markets. His intervention explores public concern around artificial intelligence, the need to build digital capacity, and the role of governments in demonstrating trusted and practical uses of AI. He also highlights the importance of starting with small, useful applications that solve real problems before scaling more complex projects. The episode also examines data sovereignty and the need for countries to protect their most critical information while continuing to benefit from global innovation. Bradley reflects on hybrid models that allow countries to remain open and competitive while building secure domestic systems and protecting sensitive data. The conversation concludes with a reflection on national AI strategies as a legislative and policy priority. Bradley emphasizes the importance of protecting data, building trust in AI systems, supporting responsible government adoption, and ensuring that AI remains human-centred, with people actively involved in how these systems are designed and used. This episode was recorded during the 22nd ParlAmericas Plenary Assembly and 10th Gathering of the Open Parliament Network, titled “Parliamentary Leadership for Shared Prosperity: Advancing Trade, Innovation, and Security in a Changing World,” held in Ottawa, Canada, from May 19 to 22, 2026. Please find the meeting content available at the following link.

Is your organization treating AI governance like a simple checklist or a high-level strategy? In this episode, AI pioneer Mark Khater reveals why most governance models fail and introduces a framework that actually works. Learn how to move from a technology push to a strategic technology pull that prioritizes human judgment over machine speed. Join host Boris Agranovich as he interviews Mark Khater, a Cambridge academic and FinTech CEO with three decades of experience in artificial intelligence. Together, they explore the EDGE framework, Empathy, Data, Governance, and Execution, and discuss why embedding these values from the start is the only way to avoid organizational failure.  Mark shares his unique perspective on why machines think fast but humans think deep, and how over-reliance on AI can lead to correlated decision-making errors across an entire company. We also dive into the geopolitical risks of data sovereignty and the importance of maintaining human empathy in an increasingly automated world. Whether you are a CEO or a risk manager, this conversation provides a roadmap for navigating the complex intersection of leadership and AI. Chapters 0:00 Introduction to Dr. Mark Khater 2:15 From Medical Engineering to AI Pioneer 4:30 Why AI Governance is a Strategic Problem 7:15 The EDGE Framework Explained 10:00 Machine Speed vs Human Depth 13:45 AI Risks in the Investment World 17:20 Data Sovereignty and Geopolitics 20:15 The Competence Coordination Gap 23:30 Why Diversity is the Ultimate AI Safeguard 25:45 Final Takeaways and Contact Info

At Infosecurity Europe 2026 in London, Bill Peterson, Senior Director of Product Marketing at Sumo Logic, joins us to unpack a tension every regulated security team knows well. When an incident hits, the business has to keep running. At the same time, regulators expect sensitive data to stay in region. For a long time, those two demands have pulled in opposite directions. Sumo Logic has spent 15 years as a SaaS platform on AWS, processing roughly four exabytes of data a day for around 2,000 customers. The core promise is speed, driving mean time to resolve as low as possible. Peterson frames it in business terms, because the person signing the check wants to know the return, not the bits and bytes. The news from the show is Sumo Logic availability on the AWS European Sovereign Cloud. EU organizations can keep their data in region, handled by EU staff, while still running the full platform for incident response. That turns a painful either/or into a checklist a regulated buyer can complete. Genesys is the first customer live in the sovereign cloud, with payment processor OpenPay preparing to follow. How does this play out for highly regulated industries? Sumo Logic is focused on finance, healthcare, telco, and government, the verticals feeling the most pressure. The path Peterson describes is simple: let Sumo Logic handle incident management, let AWS move and grow the data in region, and check the sovereignty box without giving up operational readiness. Underneath sits a full-featured SIEM and Dojo AI, the agentic approach Sumo Logic launched earlier this year. The goal is not to replace analysts but to keep a human in the loop while handing proven, repetitive work to an agent. Fix one server, confirm the solution, then let an agent patch the other 599 under oversight. A SOC Analyst Agent reaches general availability at Black Hat later this year, alongside an MCP server. On observability, the differentiator is reading both structured and unstructured data without normalizing it first. A zip code is structured; a cryptic web hook error is not. Sumo Logic reads both, which feeds directly into faster time to identify and faster time to resolve. For any leader weighing sovereignty against uptime, Bill Peterson makes a clear case that they can finally live in the same plan. This is a Brand Spotlight. A Brand Spotlight is a ~15 minute conversation designed to explore the guest, their company, and what makes their approach unique. Learn more: https://www.studioc60.com/creation#spotlight GUEST Bill Peterson, Senior Director of Product Marketing, Sumo Logic LinkedIn: https://www.linkedin.com/in/williampetersonjr/ RESOURCES Learn more about Sumo Logic: https://www.sumologic.com/ Sumo Logic on the AWS European Sovereign Cloud (announced at Infosecurity Europe 2026): https://www.sumologic.com/newsroom Infosecurity Europe 2026 event coverage: https://www.itspmagazine.com/infosecurity-europe-2026-infosec-london-cybersecurity-event-coverage Are you interested in telling your story? ▶︎ Full Length Brand Story: https://www.studioc60.com/content-creation#full ▶︎ Brand Spotlight Story: https://www.studioc60.com/content-creation#spotlight ▶︎ Brand Highlight Story: https://www.studioc60.com/content-creation#highlight ▶︎ Get your own Brand Briefing at an upcoming event: https://www.studioc60.com/buy-brand-briefings KEYWORDS Bill Peterson, Sumo Logic, Sean Martin, brand story, brand marketing, marketing podcast, brand spotlight, AWS European Sovereign Cloud, data sovereignty, incident response, mean time to resolve, SIEM, security operations, Dojo AI, agentic AI, SOC analyst agent, observability, log analytics, Infosecurity Europe 2026 Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Join us on The Founder Spirit podcast with Michael Clark, a visionary strategist and author of Our Moment, who reveals the deep, philosophical questions we must ask about the future of human intelligence, purpose, and technology.  His book follows the journey of a boy chasing a dream chasing a dream—one who confronts the future we are all collectively building and discovers that the most transformative technology is not artificial intelligence, but human potential. Michael challenges the status quo by inviting us to imagine a future where humanity remains at the center—one in which humans and machines collaborate as partners to amplify human potential rather than compete for dominance.Michael shares how childhood struggles, intense discipline, and a crucible moment facing adrenal fatigue transformed his outlook and taught him what it means to be human. In a world racing toward automation and AI dominance, this isn't just a story of resilience—it's a roadmap for understanding what makes us uniquely human in an age where knowledge is owned by machines and wisdom is the real treasure.How did Michael, a university drop-out, become a pioneering systems thinker and designer in the Intelligent Age? TUNE IN to this conversation & find out. Don't forget to subscribe and support us on Patreon!For detailed transcript and show notes, please visit TheFounderSpirit.com.Also follow us on: - LinkedIn: https://www.linkedin.com/company/TheFounderSpirit- Instagram:  https://www.instagram.com/TheFounderSpirit- YouTube:  https://www.youtube.com/@TheFounderSpirit- Facebook:  https://www.facebook.com/TheFounderSpirit- X:  https://twitter.com/founder_spiritIf this podcast has been beneficial or valuable to you, feel free to become a patron and support us on Patreon.com, that is P-A-T-R-E-O-N.com/TheFounderSpirit.As always, you can find us on Apple, YouTube and Spotify, as well as social media and our website at TheFounderSpirit.com.The Founder Spirit podcast is proud to be a partner of the Villars Institute, a non-profit foundation focused on accelerating the transition to a net-zero economy and restoring planetary health.About This Podcast:Whether you are an entrepreneur, a mid-career professional or someone who's just starting out in life, The Founder Spirit podcast is for you!In this podcast series, we'll be interviewing exceptional individuals from all over the world with the founder spirit, ranging from social entrepreneurs, tech founders, to philanthropists, elite athletes, and more. Together, we'll uncover not only how they manage to succeed in face of multiple challenges, but also who they are as people and their human story.So TUNE IN & be inspired by stories from their life journey!

Elliot Kim, CEO of Checkbox, explores why online survey tools are now largely a solved problem—and why the real differentiator lies in the company behind the product. He explains how Checkbox is building a people-first, purpose-driven business focused on trust, transparency, and customer-centric policies. Elliot also discusses Checkbox's broad range of research use cases, and explains how its combination of cloud and on-premise deployment options gives organizations greater control over sensitive data and supports data sovereignty requirements. The conversation also examines the challenges of modern B2B research, from identifying “dark” prospects outside CRM systems through awareness and perception surveys, to reaching niche audiences with small sample sizes. Elliot shares how persistence, creativity, trusted research panels, and aligned incentives all play a role in driving honest, high-quality responses.   About Checkbox Checkbox is a research-grade survey platform trusted by enterprises and public-sector organizations since 2002. With both SaaS and self-hosted deployment options, Checkbox gives teams full control over their data while making it easy to design, distribute, and act on research at scale.   About Elliot Kim Elliot Kim is the CEO of Checkbox and an engineer at heart with two decades of building and scaling products. Before leading Checkbox, he spent years growing engineering teams and developing people-focused cultures in high-growth environments. He's driven to solve real-world problems through ethical research, done right.   Time Stamps 00:33 Elliot's Career Journey 02:43 Why Another Survey Tool 07:49 Who Uses Checkbox 09:17 Awareness and Perception 11:43 Reliable B2B Research 15:05 Getting Honest Answers 17:24 On Premise and Trust 20:39 Running Better Studies   Quotes “I love solving problems, that's why I'll always be an engineer at heart. I feel like I've traded satisfaction from my own personal accomplishments for the satisfaction I get from the team's accomplishments.” Elliot Kim, CEO at Checkbox “By the time someone enters your CRM, they've already made most of their decision — and analytics can't really tell you about the people who didn't.” Elliot Kim, CEO at Checkbox “Marketing is about serving people with honesty and connecting not with every person in the world, but finding the right people and the right audience.” Elliot Kim, CEO at Checkbox   Follow Elliot: Elliot Kim on LinkedIn: https://www.linkedin.com/in/elliotykim/ Checkbox website: https://www.checkbox.com/ Checkbox on LinkedIn: https://www.linkedin.com/company/checkbox-com/   Follow Mike: Mike Maynard on LinkedIn: https://www.linkedin.com/in/mikemaynard/ Napier website: https://www.napierb2b.com/ Napier LinkedIn: https://www.linkedin.com/company/napier-partnership-limited/   If you enjoyed this episode, be sure to subscribe to our podcast for more discussions about the latest in Marketing B2B Tech and connect with us on social media to stay updated on upcoming episodes. We'd also appreciate it if you could leave us a review on your favorite podcast platform. Want more? Check out Napier's other podcast - The Marketing Automation Moment: https://podcasts.apple.com/ua/podcast/the-marketing-automation-moment-podcast/id1659211547

Connect to John Gilroy on LinkedIn   https://www.linkedin.com/in/john-gilroy/ Want to listen to other episodes? www.Federaltechpodcast.com Angel Smith, President of Global Public Sector at Virtru, discussed the challenges of data interoperability in federal agencies, emphasizing that trust and policy issues often hinder data sharing more than technology. It took several years, but the federal government has realized that its defenses are not perfect and has had to adopt a zero-trust approach to limit access to important information. Zero Trust is Missing the Point During the interview, Angel Smith argues that Zero Trust seems to focus on the network and identity, rather than on data. While intended to secure infrastructure, these changes can create new attack vectors. Data Sovereignty is broken. Traditionally, a data set would reside in a hard drive in a server room down the hall. Because of this, thinking about security can be focused on the physical location of the data or its sovereignty. Sometimes, a strategic approach is necessary to protect data. This is an outdated approach because data can be protected by the data object itself, which can carry control. Security vs. Speed is a False Tradeoff. This legacy thinking also applies to security. Some will exist to control data because it has been viewed as too time-consuming. Smith also stressed the need for modern data governance to enable AI and other advanced technologies, advocating for a rethinking of legacy practices to enhance data security and usability without compromising mission speed.  

For years, data sovereignty was treated as a compliance requirement, focused mainly on keeping data within specific geographic borders. Today, that definition is no longer sufficient. True data sovereignty now encompasses control, visibility, and accountability over data wherever it resides, moves, or is processed. In an era shaped by AI adoption and increasingly fragmented cloud environments, sovereignty has become a core driver of enterprise resilience and operational autonomy rather than a regulatory checkbox. In this episode of The Security Strategist, Tim Pfaelzer, Senior Vice President and General Manager, EMEA at Veeam, explains how the meaning of data sovereignty has fundamentally changed.From Compliance Concept to Strategic PriorityA decade ago, data lived in well-defined corporate environments managed by internal IT teams. Today, it is distributed across public cloud platforms, SaaS ecosystems, edge devices, and third-party suppliers. This distribution has expanded the attack surface while making ownership and control significantly harder to define.As a result, organisations are being forced to rethink sovereignty not as a legal constraint, but as a foundation for resilience, security, and trust.Why Data Sovereignty Requires Cultural ChangeOne of the key arguments Pfaelzer makes is that data sovereignty cannot be solved through technology alone. It requires organisational alignment and executive ownership.Data is now created and consumed across every business function, which means governance must extend beyond IT. Leadership teams must treat data as a critical business asset, with clear accountability structures across its lifecycle.This shift is reinforced by regulatory pressure. Frameworks such as GDPR, the EU Data Act, and emerging AI governance rules now require organisations to demonstrate not only where data is stored, but how it is accessed, processed, and protected.The Five Dimensions of Modern Data ControlPfaelzer outlines five core dimensions that define effective data sovereignty today:Visibility: Knowing where all data exists, including backups and third-party copiesOwnership: Clear accountability for data across its lifecycleAccess governance: Controlled and regularly reviewed permissionsPortability: The ability to move data without vendor lock-inCompliance readiness: Continuous compliance rather than audit-only validationTogether, these determine how much real control an organisation has over its data estate.Data Sovereignty as the Foundation of ResilienceModern resilience is no longer defined by backup alone. It is defined by recovery speed, completeness, and operational continuity. A prolonged outage or ransomware incident can cause significant damage, but the difference between minutes and days of downtime often comes down to recovery architecture and how rigorously it has been tested under real-world conditions. In this context, sovereignty and resilience are directly linked. Without control over data, there is no predictable recovery.AI Has Raised the StakesArtificial intelligence has introduced a new layer of data risk that many organisations are still underestimating. As AI systems increasingly automate decision-making and customer interactions, the quality and integrity of training and operational data become critical. If that data is corrupted, incomplete, or outdated, the impact can spread silently across business processes before detection.Unlike infrastructure failures, AI-driven data issues are not always immediately visible. This makes governance even more important. Pfaelzer argues that AI systems should operate under the same strict data controls as human users, including lineage tracking, access controls, and continuous validation of data integrity.Why Data Sovereignty Now Defines Enterprise AutonomyUltimately, data sovereignty has changed into a measure of enterprise independence. Organisations that understand, govern, and control their data are better positioned to manage risk, comply with regulation, and adopt new technologies such as AI safely. Those who do not risk becoming dependent on opaque systems where visibility and control are limited. In 2026 and beyond, sovereignty is no longer just about where data lives. It is about who controls it, how it is used, and how quickly an organisation can recover when things go wrong.TakeawaysData sovereignty beyond geographic boundariesRisks of data fragmentation across cloud and edge environmentsStrategies for rapid data recovery and resilienceEnsuring data integrity and trust in AI systemsControl and ownership of data in a distributed landscapeChapters00:00 Introduction to Data Sovereignty and Resilience02:49 The Evolution of Data Management06:03 Control, Risk Exposure, and Accountability in Data08:57 Data Sovereignty Beyond Geography12:04 Ensuring Data Integrity in AI Systems15:05 Human Error and Data Management18:02 Case Study: University of Manchester's Data Strategy21:01 Non-Negotiables for Building a Resilient Data Strategy

AI data sovereignty is quickly becoming one of the most critical issues in global technology—and one of the least understood. At its core, it asks a simple question: Who owns the data that shapes intelligence? Because whoever owns the data ultimately controls the outcomes. About Dr. James Maisiri Dr. James Maisiri is a leading voice on AI and society, focusing on how emerging technologies impact labor, culture, and inequality across Africa. His work connects sociological insight with technical realities, emphasizing ethical and inclusive AI systems. He has worked with UNESCO, published in the Journal of BRICS Studies, and contributed to major African publications.

When you see new tech, the first questions are often about safety and control. The focus should be on building critical infrastructure that doesn't just look "shiny" but actually addresses cybersecurity and scalability needs. Learn how to solve the problems of today while preparing for the future.

The Pure Report welcomes Andrea Moccia, VP of AI and Data at Options Technology, and Robert Alvarez, AI Solution Architect at Everpure, to discuss the cutting edge of AI deployment right after the energy of NVIDIA GTC. We dive into sobering statistics that show a high failure rate for generative AI pilots—95% fail to scale to production—and discuss how the root cause is a fundamental data strategy problem. Our discussion shift to focus around the unique, high-stakes challenges faced by the financial services industry (FSI), which contends daily with massive data volume (tens of petabytes of market data), strict global compliance and regulatory requirements, and the need for near real-time, low-latency answers from AI models. Andrea explains how the power of simplicity is an operational advantage, following the mantra: "Simplicity is what lets you be brave.” He details how Options is addressing issues like data leakage and data sovereignty with their Private Mind offering—a private, sovereign AI platform where they control the entire stack, from model to metal" Robert and Andrea connect this innovation to the Everpure partnership, specifically how solutions like Data Stream and Everpure KVA (which Robert co-developed) are vital in reducing implementation complexity and accelerating real-world use cases, such as building a powerful knowledge graph on hundreds of thousands of SEC filings efficiently. Finally, we conclude with our Hot Takes segment to dispel common AI misconceptions. We talk about how companies should stop obsessively chasing the latest frontier models or GPUs for every task, as open-source alternatives and smaller, distilled models are perfectly capable for a majority of use cases. In conclusion, hear how the true key to AI maturity and growth lies not in chasing technological hype, but in removing data silos, fixing the foundational data strategy, and using the rapidly maturing AI ecosystem to streamline business processes. To learn more, visit: https://www.purestorage.com/customers/options.html Check out the new Everpure digital customer community to join the conversation with peers and Pure experts: https://purecommunity.purestorage.com/ 00:00 Intro and Welcome 01:50 Recap of NVIDIA GTC 2:40 Overview on Options Technology 3:55 Andrea's Career Journey 7:14 Robert Alvarez Intro 9:13 Stat of the Episode on AI Pilots 12:20 AI Challenges for FSIs 15:05 Simplicity Let's You Be Brave 21:05 AI and KVA in Action at Options 23:45 Data Sovereignty and Compliance 30:35 Hot Takes Segment 35:37 Summary and a Look Forward

Podcast: Don't Panic It's Just Data!Guest: Adrian Estala, VP, Field Chief Data & AI Officer, StarburstHost: Doug Laney, Research & Advisory Fellow at BARC and Author of Infonomics & Data JuiceAfter years of heavy investment in data lakes and warehouses, many enterprises still face a frustrating reality. Insights continue to remain slow, fragmented, and hard to trust.In the recent episode of the Don't Panic It's Just Data podcast, host Doug Laney, Research & Advisory Fellow at BARC and Author of Infonomics & Data Juice, is joined by Adrian Estala, VP, Field Chief Data & AI Officer at Starburst. They sat down to discuss why more enterprises are adopting a new architectural approach, the business semantic layer, to speed up AI adoption.What's the Core Issue in AI Data Enterprise?The core issue, Estala argues, is not a lack of infrastructure but an inconsistency between how data is organised and how enterprises think. “No one's really there yet,” he says, reflecting on a decade of backend optimisation. “We don't know what ‘perfect' architecture means, especially in the AI age.”The semantic layer, sometimes called a “context layer,” represents a shift from technical complexity to business usability. Typically, the system requires non-technical users to interpret schemas and pipelines; however, Starburst provides an abstraction that shows data in familiar business terms, along with metadata and governance rules.“If you build it right,” Estala explains, “when a CFO walks in the room and sees their semantic layer, it makes sense to them.”For an enterprise, this is more than just a usability improvement. It reduces duplication, eliminates conflicting metrics, and reduces reliance on IT teams for routine analysis. As Laney notes during the discussion, the goal is not to replace existing systems but to make them “that much more accessible” by layering business meaning on top.Also Watch: AI Is Replacing BI — Here's What CIOs Need to KnowSovereignty, Governance & the European RealityThe conversation is even more acute in regions like Europe, where data sovereignty has become a major concern. Regulatory pressure has led enterprises to rethink not only where data is stored but also how it is accessed and shared.Estala describes a federated model where data stays within national boundaries while still being usable globally. Organisations set up local clusters in countries like Switzerland or the United Kingdom, build data products locally, and apply strict rules for what can be shared centrally.“I can decide which data products are approved to be shared,” he says, alluding to compliance mechanisms that ensure sensitive information cannot be traced back to individuals.This creates a system that satisfies both regulators and business leaders. Executives no longer need to worry about jurisdictional complexities; they work with a unified view of data that has already been filtered, governed, and approved. “For them, it just feels like it's already been brought together,” Estala adds.As AI agents and copilots continue to gain popularity, the discussion also spotlights limitations. One such limitation is trust. Without confidence in the underlying data, even the most advanced AI tools struggle to provide meaningful value.“If they don't trust the answers, it's just a cool toy,” Estala says, describing a common pattern where initial excitement fades once users doubt the reliability of outputs.The semantic layer also tackles this discrepancy by embedding governance, lineage, and business rules directly into data products. Starburst helps enterprises clearly define which data is exposed to AI systems and under what conditions, making it easier to explain and justify decisions.Currently, Estala observes, AI mainly speeds up existing workflows instead of transforming them. Executives are asking the same questions they always have, but getting answers faster and from broader datasets. The real change, he suggests, will come when trust allows leaders to ask entirely new questions and rethink decision-making.How to Drive Business Value in 90 Days?For CIOs and CDOs eager to move past experimentation, the Chief Data and AI officer outlines a focused, business-led approach. Rather than launching large-scale transformations, he suggests starting with a single domain and building momentum from there.The first phase focuses on collaboration, bringing business stakeholders into the design of the semantic layer and defining the data products that are most important. “We design it with the business team in the room,” he explains, stressing ownership from the start.The next stage shifts to enablement, as teams begin to use and expand these data products themselves. This is where self-service takes root, reducing dependence on IT and promoting more exploratory use of data.By the final phase, enterprises are ready to introduce AI agents on top of a trusted foundation. At that stage, technology becomes almost secondary. “Once you get to a semantic layer that you trust, adding an agent is easy,” Estala says.As enterprises continue to adopt AI at larger scales, their competitive edge will come from algorithms and from how effectively they organise, govern, and contextualise their data. In this sense, the semantic layer is quickly becoming the backbone of modern, AI-driven decision-making.Key TakeawaysSemantic layers make governed data accessible for enterprise AI.Data sovereignty drives federated, compliant data architectures.Trusted AI needs governed, metadata-rich data products.Semantic layers deliver business value within 90 days.Virtual layers reduce duplication and speed up analytics.Chapters00:00 The Shift to Business Semantic Layers08:02 Data Sovereignty and Governance in Modern Strategies13:08 Foundational Capabilities for AI Systems18:11 AI Agents and Decision Making23:04 Practical Steps for Implementing Semantic LayersTo learn more about how data products and AI agents are changing enterprise analytics, follow:Starburst LinkedIn: @StarburstStarburst X: @starburstdataStarburst YouTube: @StarburstDataEM360Tech YouTube: @enterprisemanagement360EM360Tech LinkedIn: @EM360TechEM360Tech X: @EM360TechFollow: @EM360Tech on YouTube, LinkedIn and XStay connected for more expert insights, podcast episodes, and enterprise data strategy discussions.#SemanticLayer, #DataGovernance, #EnterpriseAI, #DataStrategy, #DataArchitecture, #AIatScale, #Compliance, #DataSovereignty, #ContextLayer, #AIagents, #DataProducts, #SelfServiceAnalytics, #CIO, #CDO, #Starburst, #AdrianEstala, #DougLaney, #DontPanicItsJustData, #EM360Tech, #TechPodcast

If you walked RSAC Conference 2026 expecting incremental updates, you left with something very different. Thyaga Vasudevan, EVP, Product at Skyhigh Security, describes this year as unlike any prior conference -- not because of a single announcement, but because the customers asking how to secure agentic AI were the same customers already building and deploying it. The urgency was real, immediate, and universal across organization sizes. The defining theme was agentic security. Vasudevan frames it around three core questions every security team now needs to answer: who is acting (agent identity), what are they accessing (data and APIs), and what are they trying to do (actions and permissions). The ChatGPT launch in November 2022 marked a generational shift -- and at RSAC 2026, Skyhigh Security observed that the industry had moved decisively from data-in and data-out protection to governing the actions of autonomous agents themselves. Data sovereignty was the other major conversation thread, driven by geopolitical realities and tightening regional data regulations. Vasudevan spoke with CISOs from financial services, healthcare, public sector, and not-for-profit organizations, each with different infrastructure approaches -- from on-prem data centers to sovereign clouds to full cloud deployments -- but all navigating the same fundamental challenge. DSPM and hybrid architectures are no longer optional for global enterprises. And quietly but significantly, browser security emerged as a front-and-center priority, reflecting the browser's growing role as a primary cloud endpoint. This is a Brand Highlight. A Brand Highlight is a ~5 minute introductory conversation designed to put a spotlight on the guest and their company. Learn more: https://www.studioc60.com/creation#highlight GUEST Thyaga Vasudevan, EVP, Product, Skyhigh Security LinkedIn: https://www.linkedin.com/in/thyaga12/ RESOURCES Skyhigh Security: https://www.skyhighsecurity.com RSAC Conference 2026 Coverage: https://itspmagazine.com/rsac26 Are you interested in telling your story? ▶︎ Full Length Brand Story: https://www.studioc60.com/content-creation#full ▶︎ Brand Spotlight Story: https://www.studioc60.com/content-creation#spotlight ▶︎ Brand Highlight Story: https://www.studioc60.com/content-creation#highlight KEYWORDS Thyaga Vasudevan, Skyhigh Security, Sean Martin, Marco Ciappelli, brand story, brand marketing, marketing podcast, brand highlight, agentic AI security, data sovereignty, SSE, Security Service Edge, DSPM, zero trust, browser security, cloud security, RSAC Conference 2026, RSAC 2026, AI agent security, MCP security Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Unlocking the Power of Frontier Partnerships Subscribe to our Newsletter:https://theultimatepartner.com/ebook-subscribe/Check Out UPX:https://theultimatepartner.com/experience/ In this compelling discussion from the Ultimate Partners Winter Retreat, Microsoft GM Katharine Kennedy joins Vince Menzione to break down the operating models of “Frontier Firms.” Katharine shares her incredible journey of scaling the ServiceNow partnership from zero to $1 billion in TCV and reveals her current mission: building Adobe into the next great frontier firm for Microsoft. The conversation dives deep into the necessity of AI-led innovation, the critical importance of placing trust at the center of every technological stack, and why traditional quarterly business reviews are being replaced by real-time, constant connectivity. Whether you are an ISV, SDC, or channel partner, this session provides a roadmap for navigating the tectonic shifts in the AI ecosystem through organizational alignment and shared vision. Key Takeaways Frontier firms integrate AI up and down the UI, agent, and data layers while evolving their internal operating systems. Successful partnerships require a shared vision at the highest level that melds two mission statements into a single belief system. The traditional QBR is becoming outdated, replaced by real-time, constant communication across engineering and product teams. Trust must be the primary pillar of AI development, supported by core principles like fairness, reliability, and accountability. Leading with co-innovation and customer-centric data solutions is more effective than leading strictly with revenue goals. Strategic use of the Microsoft Marketplace remains a “hidden gem” for achieving scale and high-velocity growth. https://youtu.be/OU22MIfs-1A If you're ready to lead through change, elevate your business, and achieve extraordinary outcomes through the power of partnership—this is your community. At Ultimate Partner® we want leaders like you to join us in the Ultimate Partner Experience – where transformation begins. Key Tags: Frontier Firms, SDC, Microsoft GM, Adobe Partnership, ServiceNow, AI Operating Model, Responsible AI, Co-innovation, Partner Value Chain, Organizational Alignment, Microsoft Marketplace, TCV, Data Sovereignty, AI Agents, Adobe Firefly, Azure, Ecosystem Growth, Digital Transformation, AI Governance, Strategic Partnerships, Tech Leadership. Transcript: Katharine Kennedy Vince Menzione: [00:00:00] Honestly, it’s people. Yes, with agents. Um, and I know we hear that and it’s very like, oh, what does it mean? Are we really using it? I cannot tell you how many agents I use in a day. We just finished Ultimate Partners Winter Retreat here in beautiful Boca to a sold out crowd. Come join me now for a compelling discussion on the impacts of the tectonic shifts we’re all seeing. We, we’ve talked about MSP, we’ve talked about channel. We’ve talked about marketplace. We haven’t really dug deep into the SDC conversation, and I still, that doesn’t roll off my tongue. I still say ISV in my own mind, but the software development corporations, um, we’ve had several executives from that, from that world. Sandy Gupta has been. Um, many time guests, uh, at, at, at our events and we really wanted to double click. And I was so fortunate to meet Katherine Kennedy several months ago and learned about what [00:01:00] she’s doing and what the work that she’s driving. So I wanna invite her on stage ’cause we’re gonna have a very intimate conversation by Yeah, we call these so great to have you here. And, uh, you’re a GM at Microsoft, which is a big deal, by the way. A lot of people don’t know that. Thank you. And you’re running, uh, two of, I’d say two of the most significant partners within the Microsoft ecosystem. I would say obviously two. Now. Just one. Okay. We’re doubling down on focus. So nice to meet everybody. I, I wish there was a fire ’cause it did. What you Well come on. This goes off heat by the way. We get back off a little bit. This goes off our, so all good. So tell us, give us your, yeah. Give us your background and your role. Katharine Kennedy: Sure. So Catherine Kennedy. Nice to meet you all. Um, I’m a GM at Microsoft previously overseeing both the ServiceNow and the Adobe practice. Um, spent the last four years building ServiceNow too. What now our previous guests got to refer to as our REO, you know, exciting, uh, big growth [00:02:00] partnership. Um, so we took that from, for them from $0 in terms of shared revenue to a billion dollars in TCV. Um, and they have one of the largest Macs now with Microsoft. And we did that over the course of three years. So we’ll talk a little bit about. Um, the mindset, uh, and the operating models and things that we implemented with ServiceNow. Um, and then at the time, um, they asked me to take on Adobe as well. And when we saw the opportunity at Adobe, we said, wow, we really need to focus here. And so I have the privilege of being able to focus on Adobe this year. And, um. What I’m most excited about is the ecosystem and the ecosystem opportunity with Adobe as we build them into the next frontier firm or Microsoft. Vince Menzione: And of course we use the term spark, the ecosystem, so yes. Um, so let’s, let’s dive in [00:03:00] here. Use the term mindset. I was thinking about mindset. Market shift, frontier Firm, how do those things align together? Microsoft has been talking, I mean, Judson up on stage and Ignite talking about frontier firms. Nina’s talked about frontier firms. This is a shift in how organizations operate. Yes. In for some, yes. Uh, for others. I was thinking, what are you seeing across the SDC community specifically where you’ve managed before, where you’re managing now, but with ServiceNow and Adobe as an examples? What defines a company that’s truly making this leap? Katharine Kennedy: So as we’re looking at these frontier firms, uh, especially in the S-D-C-I-C spaces, we’re looking at, um, how do they implement AI up and down their stack, but then across the operating system, um, and. I refer to it in our business as the partnership value chain. ’cause we look at our SDCs and ISVs as partners. Um, and so the partner operating model between Microsoft and in this [00:04:00] case, Adobe or ServiceNow, has to be solely in lockstep and moving at warp speed. It’s as, as we’ve been talking about all day, it’s just moving so fast and so the tighter. We’re connected. The Cohesity across the company, um, is absolutely critical, but it’s AI up and down, AI across, um, and what I mean by that is, uh. That’s from the UI layer to the agent layer down to the data layer. So unlocking all of the layers of the stack. And then across the operating model, how are we empowering each executive to buy in on that North star or that strategy that we have jointly? And then how do we drive that operationally to execute at the field level? And that’s. Probably the biggest undertaking, um, I’ve ever done because it’s really you, your team becomes, uh, [00:05:00] these we’re like ants running between two giant companies. I mean, it’s just back and forth, back and forth, back and forth. And um, that’s really the art and the science of it is that honestly it’s people. Yes. Um, and I know we hear that and it’s very like, oh, what does it mean? Are we really using it? I cannot tell you how many agents I use in a day. It’s truly remarkable. Vince Menzione: You mentioned North Star, so I wanted to Yeah. Can I double click on it? Katharine Kennedy: Please do. Yes. Happy to. Vince Menzione: Yeah. I think about mission and purpose and all that tying into North Star. Are, are you implying that an organization needs to get its North Star, right? First and then how, how, and what, what are most of these organizations you’re seeing today, not the ones you manage, but other organizations in the SDC portfolio? Like where are they in terms of the continuum? How are, how are they moving along and what’s your guidance to them? Katharine Kennedy: It’s a good question. So I’ll start by saying my observation, my opinion is [00:06:00] as I’m looking across the companies that are successful and the ones who are yet to be successful, um, the key differentiator is that there is a shared vision at the highest level of the company that drives all the way down to the field. And what I mean by that is we’re taking two mission statements and we’re melding them together. Then we’re creating a belief system and it becomes a cultural shift across two companies versus, Hey, we’re gonna have all of these siloed, tactical, yeah. Operating units and they’re gonna do their own thing and maybe they’ll be successful over here. Maybe they’re doing something different over here, but we’re really. I think I heard Nina say this also, we’re pulling that red thread through the company. Yes. Um, which is critical. And I’ve seen so many companies just show up for the revenue. And yes, that’s an absolute outcome and it’s a [00:07:00] tremendous outcome if you do it right, but you have to do it right. You have to pull that red thread and you have to have every single part of the. Partner value chain buying into this strategy and this North Star, and if they don’t, if one piece of that chain is not bought in, you fail. Yeah. Vince Menzione: Organizational alignment is what you’re saying and what, what I’m hearing is in order, in terms of getting the AI Strat, the North Star aligned. Yes. You’ve gotta get the, I call the C-Suite aligned. Yes. You need to get all the functions of the organization aligned to the thread that you talked about. Yes. And then what does that look like? What does that North Star look like? What is it, what is the ideal example of what the North Star would look like? I’m, I’m a frontier firm. I brought in on ai, music agent ai. I’m doing all the things that we’ve talked about earlier. Katharine Kennedy: Yes. Um, so I think it, so operationally, um, it’s moving the operational rhythm from what used to be [00:08:00] qbr. Frankly, I think that’s outdated. Yes, it is. It is real time, constant communication. And yes, there will be checkpoints and they could be weekly, they could be monthly, they could be quarterly, but this is just real time constant communication because the pace of business, the pace of innovation is going so fast. We have to have that direct line of communication product to product team. We have to have that direct line of communication, engineering to engineering, because with everything going in on. Everything going on in the macroeconomic climate today, especially given concerns around sovereignty. Um, I run a global business, so we have customers saying, Hey, I don’t wanna host my data in a place where I don’t align with the values. That’s a real situation. That was actually a topic at Davos, as you mentioned, um, Nina. And so, um, we’re rapidly addressing these concerns with our customers and meeting our customers where they are. [00:09:00] Um, but it’s that real time constant connectivity. Um, and we’re frankly. We’re seeing it across the board. Um, but the operating model has to change. We have to look at more advanced, modern models, uh, for these partnership businesses to sustain in this next wave of transformation. Frankly, Vince Menzione: you know, it’s, so, you talked about values? Yes. This is, this leads into another conversation, right? When we talk about ai, we talk about, we talk about AI and the use, use cases. We skip over things like values and trust and governance. Katharine Kennedy: Oh, good segue. This is, this is my passion, please. Oh, I get so worked up about this. Good. So I, I had the privilege of, um, sitting, uh, with our SLC community a couple weeks ago, and, uh, they introduced, oh, here’s our amazing new, uh, pitch. We were just [00:10:00] speaking about it in the back actually. And, and it is, it’s amazing. And, uh, they said, do you have any feedback? And I was like, oh. And I waited and I saw everybody, every, you know, oh, we need to change this or tweak that. And I, and I waited. And then at the last moment I stood up. I was like, okay, I gotta say it. I was like, you say intelligence and trust. I, this is a small tweak, but trust has to be first, foremost, first, last, center, everything. Trust has to be everything. And, um, and I truly mean that. And I think, you know. Of all the companies I’ve worked for and I’ve worked for quite a few, um, Microsoft is the company that I believe in the most that can do the most good in society and in the global. Macroeconomic economy, a anything right in the world, in your communities. Um, and so one of the things that really struck me, and I keep coming back to with Microsoft and the, the topic of trust is how Microsoft, [00:11:00] um, was first to the table in this, in this, um, moment of ai. You know, introduction a few years ago to say, Hey, we need a set of core values and ethics and principles that we’re all gonna, we’re all gonna marshal around and I haven’t heard it as much recently, and now it’s coming back. And, uh, you know, the, the six core principles that Microsoft used is, I’m just gonna tell you right now, our fairness, reliability and safety, privacy and security, inclusivity, um, transparency and accountability. And it’s not. Just six principles that you see on a poster in the offices. These are embedded, again, back to the operating model across every single aspect of our business. So within our product, within our engineering, even just in our collaboration tools, you could be sending a teams message and you’ll get a notification, Hey, this is not aligned to the Microsoft. Core [00:12:00] values of ai. And so there are gates and governance and guardrails built into every layer of our technology stack and then across the company in our operating rhythms. And that is what gets me so excited and gets me up at, at out of bed in the morning. Um. I actually got a call from Sila. No one wants a call from Sila. Does anybody know Sila? Uh, yeah. Yes. Okay. That’s our legal, that’s our legal team. Legal affairs. Sila. Yeah. No one wants that call. Uh, I actually, I got so excited. I was like, are you calling about responsible ai? ’cause I was one of the first, um, I was one of the first to raise my hand to say. We will sign up. Was it Brad Smith calling you? Oh gosh. Oh, that would be a dream. I think he’s so, I’m, I love him. I think he’s so cool. Um, I love that you actually, sorry, side, I’m gonna take you on a side tour. Next slide. Um, my favorite thing to do is pull up the news and you’re seeing something from the Prime Minister in, you know, Germany and Brad [00:13:00] Smith’s in the foreground Yes. Of every photo. You’re just like, wow, we’re influencing at such a global. Um, base that I could just, it’s hard to wrap your head around sometimes, but, so anyways, going back, I’m gonna take us back to trust. Um, please. Vince Menzione: Well, I just think we need to apply it back to ai, right? Because it is so important. It is. It is. These agents are out there and if they’re not governed and if you don’t Yeah, yeah. Katharine Kennedy: I’m so, so, yeah, thank you. Keeping me on track. So, so why I am excited about it is, is because, um. As we’re going out into our communities, um, we’re here in the southeast and one of the biggest issues that comes up over and over again is, how do I trust that AI is not gonna learn off my data? How am I gonna trust that it’s telling me the right information? And so on and so forth. And that’s when I get to this great conversation about trust and our responsible AI pact and, um. This is, this is truly what I mean, that it can be a force [00:14:00] multiplier, but it can be a force for good. And if you don’t have those guardrails and that governance and those principles aligned across the companies. You fall down, right? You fall down with the customers, you fall down with the organizations you’re serving. And so going back to our North Star two, we align there, we align with the values and the ethics, and then we can start to really build a business together. And that’s how we were able to do it so fast. And so, um, at such scale, at such global scale, um, with. ServiceNow, but now we’re going to take a mature partner in Adobe and we’re gonna take them to the frontier in a way you haven’t seen before. So. Just a little commercial. Adobe is gonna be announcing their Adobe marketing agent. I love it as GA next month. So they are a frontier firm for us. Yes, very exciting round of applause for Adobe there. For Adobe. Yeah. And more to come. So we’ll be [00:15:00] having, uh, their firefly, uh, video models coming out on Azure and available through Marketplace as well, um, coming soon. So lots of exciting things happening. Vince Menzione: Sounds exciting. So let’s talk about those partner big wins that you’re saying. Give us some examples of those. Katharine Kennedy: Now are you talking about from a Microsoft and Adobe co-innovation perspective? Yes, from the co-innovation perspective. Okay. Yeah. Um, so from a co-innovation perspective, this is. This is a labor of love. Um, I approach it in a very disciplined manner. The way that we look at, um, these frontier firms is we’re leading with co-innovation versus leading with revenue. And it’s a, it’s, it’s a paradigm shift that takes everyone to buy in back to my earlier point, but also, um, the hardest part is. Teaching companies, um, to do things differently. Uh, so we start with [00:16:00] engineering and product. And actually before we get there, we start with customer and we sit with our customers. We understand what our customers are asking for. We’re understanding the value that they need unlocked, and typically it’s at the data data layer. And so what we’re doing is we’re seeing, okay, what are the data things? What are the data silos that need to be unlocked? And so we start to kind of build up from there, taking the customer perspective. Then we sit with engineering and product and we say, okay, what do we have on the truck today? How can we elevate this to an AI led AI first motion that meets our customers where they are in their AI journey? And delivers value and business outcomes day one versus, hey, we have to go through this laborous process. One of the other things we’re seeing is forward deployed engineers. Um, so thinking about, Hey, how do we sit with our customers and start architecting. What they need to address their business challenges today, um, because AI [00:17:00] can solve a lot of this, right? And so it’s a really interesting model shift that we’re seeing across the board within Microsoft, within our largest ISVs, and within our customer and our, um, ecosystem community with our GSIs, our sis, as well as our channel. Vince Menzione: So I know we were. You’ve had a lot. We, we had Jason up here talking about marketplace. Yes. And Jason Grey, Ja. Oh no, Jason. R Jason. R Jason. Yeah. We’ve had Jason Grey. He’s had Jason Grey. Yes. Well, we, um, you’re, you ServiceNow got called out in that last set session. I know. I was thinking about marketplace and co-selling. Yes. And then ecosystem. So I wanna like tie those three things together if that’s possible with you. Like what are you seeing from a best practice perspective. Obviously ServiceNow has been a top a top partner. We’re starting to see a lot of, well, channel D, channel [00:18:00] resellers, and the like. What are you seeing from a best practice perspective and is there yes. Central opportunities there? Katharine Kennedy: Yes, yes, yes, yes, yes, yes, yes. Okay. Three things. Um, one is AI led innovation. First and foremost, you gotta have the solution. You gotta have it. If you don’t have the solution, you don’t have something to sell. Second is a, um, AI led go to market hero motion. And what I mean by that, so in the, I’ll use ServiceNow as a, as a. Example ServiceNow. We created a, the first, uh, copilot plus, um, ServiceNow assist agent to agent go to market hero story. It landed really well with our customers and so we started to build off of that and we integrated across, um, up and down the stack. Like I mentioned, the data layer, the agent layer, and the ui. Um, and our customers were thrilled. They were like, wow. What else can we do with this? Can we unlock HR with this? Can we unlock. [00:19:00] What else can we do? Finance? Can we do finance? And so we started to see these, these moments in time where our customers were taking the technology and taking it to places we just hadn’t even thought about yet. Um, so I would say those two. And then the third would be, uh, making sure that we’re enabling the field. In a way that they know that story, they can tell that story, and then they have access to people to support that story. Um, and then wrap that in marketplace leverage micro, uh, marketplace as a scale motion. And now I know we still have opportunities to continue to improve around marketplace. Um, but we’ve come a long way and we’re seeing tremendous growth and scale out of this engine. So it’s, it’s definitely a hidden, um. I would say honestly, it’s still a hidden gem in the Microsoft. Uh. Bag, if you will. Vince Menzione: $300 billion in total.[00:20:00] Katharine Kennedy: Yeah, I seriously, yeah, but not anymore, I should say. Yes, I’ve been to Singing from the Rooftop. Yes. Vince Menzione: And you’re gonna be back this afternoon, right? Yes. A session with Ashley, so, oh, okay. I think, was it with Ash? Maybe? Oh know, maybe. I don’t know. Maybe. I’d be delighted it’ll be back the same. I’m happy to be back. I wanna make sure, I do wanna make sure, we’ll, we’ll cover some more of this there. Katharine Kennedy: And then the last thing, yeah. Shared KPIs. Yes. Shared KPIs. We gotta track it. We gotta be accountable. So get your vision aligned. Get your vision, get your organizations across all of the disciplines aligned. Yes. And then have a set of shared KPIs and owners for each of those KPIs. Yes. Right. And govern it. And govern it. Govern it, yeah. Report up to the CEO on a weekly basis, on a monthly basis, on a quarterly basis. I started reporting up to our CEO and he was like. What is she doing? He’s like, this business is going really, it’s growing fast. What is she doing? Can we do this somewhere else though? Um, it’s, you know, making sure people know the story, um, [00:21:00] and everyone’s buying in and they’re accountable. It’s, um, it’s a simple thing, but it’s powerful. Thank you for having me. Vince Menzione: Thank you so much. I really, yeah. Appreciate it. Thank you everyone. Alright, thanks. You don’t forget, ultimate Partner Live is coming soon, May 11th through the 13th in beautiful Bellevue, Washington. I hope to see you there.

Is it time to replace GitHub in our workflow? We git into it. Plus, our favorite features in the new Linux 7.0 release.Sponsored By:Jupiter Party Annual Membership: Put your support on automatic with our annual plan, and get one month of membership for free!Managed Nebula: Meet Managed Nebula from Defined Networking. A decentralized VPN built on the open-source Nebula platform that we love.Support LINUX UnpluggedLinks:

Highlights 00:09 — Microsoft's global investments continue to grow. Latest news is the company plans to invest $10 billion into Japan over the next three years to build out AI infrastructure, improve cyber resilience, and train a million engineers and developers by 2030. 00:28 — Our key partnerships include internet infrastructure provider Secura Internet, whose share price rose over 20% following the announcement, and SoftBank, already a major player in the AI revolution. Now, thanks to Secura Internet's data infrastructure, the data used to develop various AI systems, including domestic large language models, will be processed in Japan. 00:57 — Now, in terms of training, Microsoft is also partnered with five other Japanese IT firms, including NTT Data Corp, NEC, Fujitsu, and Hitachi, to deliver this ambitious target. Now, the two-point focus here on both infrastructure and training is becoming a common strategy for companies building the next generation of AI systems. 01:22 — However, instead of solely focusing on the domestic market, Microsoft is continuing its global investment drive by enabling in-country training, leveraging the incredible skills base already available within existing organizations. Now, let's not overlook the importance of data sovereignty, either. 01:41 — It's increasingly important to adhere to the laws governing where data resides, and these laws are only becoming more stringent. Not only is Microsoft future-proofing itself, it's also cultivating the next generation of Azure customers and AI-native enterprises aligned with its platforms. Visit Cloud Wars for more.

Crime and disorder is forcing small business to reconsider how they protect themselves Guest: SeoRhin Yoo, senior policy analyst, Canadian Federation of Independent Business Orban is out in Hungary! Guest: Kim Lane Scheppele , Professor of Sociology and International Affairs in the Princeton School of Public and International Affairs What is Data Sovereignty? Guest: Michael Geist, Canada Research Chair in Internet and E-Commerce Law at the University of Ottawa Learn more about your ad choices. Visit megaphone.fm/adchoices

What happens when AI governance is no longer just about limiting risk, but about enabling trust, experimentation, and value realization at scale?   Our guests for this episode explore how governance must evolve to meet the realities of agentic systems, hybrid workforces, and the challenges leaders face in this transformative era.    Featured experts  Dr. Ashwin Mehta, Founder and CEO, Mehtadology Dr. Diana Wolfe, Vice President and Head of AI Research & Strategy, Kyndryl

Most organizations are not cloud-only and, according to Thyaga Vasudevan, EVP, Product at Skyhigh Security, they are unlikely to become cloud-only anytime soon. Legacy on-prem applications, new AI workloads kept inside the firewall, and the growing cost of routing all enterprise traffic through a cloud proxy are pushing organizations toward a hybrid security architecture -- one that needs to enforce consistent policy regardless of where the traffic goes or where the data lives. Skyhigh Security announced three major innovations at RSAC Conference 2026: a next-generation SSE hybrid platform with a single console managing on-prem and cloud enforcement under one policy construct; a patent-pending browser security capability that injects JavaScript controls dynamically into existing browser sessions without requiring a dedicated enterprise browser; and the general availability of its DSPM platform, which uniquely provides visibility into both data at rest and data in motion by combining proxy-layer inspection with posture management. The browser has quietly become the most important enforcement point in the enterprise. As AI tools like Microsoft Copilot operate through web socket connections that cannot be intercepted at the server level, security controls have to reach inside the browser session itself. Vasudevan describes a seamless approach: because Skyhigh Security already sees the traffic flowing through its SSE cloud, it can inject controls at the browser layer without asking employees to change the tools they use. Data sovereignty is no longer a compliance footnote -- it is an architectural driver. Vasudevan walked through a global manufacturer operating simultaneously in Europe, the United States, and China. Each region carries different regulatory constraints, different trust postures for cloud infrastructure, and different performance requirements. Skyhigh Security's hybrid platform handles all three scenarios under the same management framework and the same policy construct. The customer chooses where enforcement happens -- on-prem, cloud, or hybrid -- without rebuilding their security architecture. On AI agents, Vasudevan describes the evolution clearly: 2022 was about protecting data flowing into generative AI tools; 2025 became about protecting the actions of the agents themselves. Skyhigh Security positions itself as a proxy between agent traffic and the systems agents interact with -- whether MCP servers or SaaS applications -- monitoring what goes in and what comes out in real time. DSPM provides the baseline: know where sensitive data is and what risk it carries before any agent is given access to it. That distinction between sensitivity and risk is what allows organizations to make smart, dynamic decisions rather than blanket restrictions. This is a Brand Spotlight. A Brand Spotlight is a ~15 minute conversation designed to explore the guest, their company, and what makes their approach unique. Learn more: https://www.studioc60.com/creation#spotlight GUEST Thyaga Vasudevan, EVP, Product, Skyhigh Securityhttps://www.linkedin.com/in/thyaga12/ RESOURCES Skyhigh Security: https://www.skyhighsecurity.com Are you interested in telling your story? ▶︎ Full Length Brand Story: https://www.studioc60.com/content-creation#full ▶︎ Brand Spotlight Story: https://www.studioc60.com/content-creation#spotlight ▶︎ Brand Highlight Story: https://www.studioc60.com/content-creation#highlight KEYWORDS Thyaga Vasudevan, Skyhigh Security, Sean Martin, brand story, brand marketing, marketing podcast, brand spotlight, hybrid security, SSE, Security Service Edge, DSPM, data security posture management, zero trust, browser security, data sovereignty, AI agents, agentic AI, cloud security, RSAC Conference 2026, cybersecurity Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

The administration is telling American diplomats to challenge foreign data‑localization laws, raising fresh concerns for firms that move data across borders. Those rules are multiplying overseas, creating real tension for companies already navigating privacy, compliance and fast‑moving AI demands. To understand the practical implications of this new approach, I'm joined by Robert Cruz, vice president for regulatory and information governance at Smarsh.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Welcome to Exponential View, the show where I explore how exponential technologies such as AI are reshaping our future. I've been studying AI and exponential technologies at the frontier for over ten years. Each week, I share some of my analysis or speak with an expert guest to make light of a particular topic. To keep up with the Exponential transition, subscribe to this channel or to my newsletter: https://www.exponentialview.co ---- Apple may have stumbled into one of the most defensible positions in AI. This was not on my radar – just two months ago, I was describing a credibility crisis at the company; they appeared wrong-footed on the most important technology of our times and an acquisition was their only plausible way out.  In this episode I work through what I and many other commentators missed – and what road lies ahead for Apple. I cover: (01:16) Why I was wrong about Apple (02:40) What's behind the Mac Mini shortage (04:07) China goes OpenClaw crazy (06:28) Perplexity builds on a Mac Mini (07:12) The edge case for Apple (09:05) Apple Moat 1: hardware (11:31) Apple Moat 2: privacy (15:47) The K problem: when good enough beats genius (18:08) Privacy, sovereignty & the diary problem Read my old position on Apple at Substack: https://www.exponentialview.co/p/ev-515 For a practical guide  my OpenClaw stack, click here: https://www.youtube.com/watch?v=aCG3dFRF3ek ---- Where to find me: Exponential View newsletter: https://www.exponentialview.co/ Website: https://www.azeemazhar.com/ LinkedIn: https://www.linkedin.com/in/azeem/ Twitter/X: https://x.com/azeem Production by EPIIPLUS1.  Production and research: Baba Films, Chantal Smith, Marija Gavrilov. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Big thanks to Cisco for sponsoring this video and sponsoring my trip to Cisco Live Amsterdam 2026. The AI revolution is putting unprecedented strain on global network architectures. In this exclusive deep dive with networking leaders from Cisco and NTT, we break down the critical infrastructure challenges and hardware innovations shaping 2026. Discover how emerging NeoClouds are competing with traditional hyperscalers to deliver dedicated GPU clusters, and why a single non-blocking network failure can bring an entire AI deployment to a grinding halt. We explore the reality of deploying agentic AI across enterprise networks, the vital role of international data sovereignty, and the extreme power demands driving the shift toward liquid-cooled data centers and innovations like the Cisco Silicon One G300 Chip. We also dive into the future of physical AI at the edge, where robotics and autonomous systems demand ultra-low latency inferencing. For IT professionals and network engineers, the stakes have never been higher. Learn the proven skills you need to stay relevant in 2026, from mastering zero-trust AI network security and observability with Splunk to managing predictive networking autonomously. Finally, get a sneak peek into the spooky future of post-quantum cryptography and what it means for the next generation of cybersecurity. // Gary Middleton's SOCIAL // LinkedIn: / middletongary // Hendrik Blokhuis' SOCIAL // LinkedIn: / hendrik-blokhuis-886a8910 // David's SOCIAL // Discord: discord.com/invite/usKSyzb Twitter: www.twitter.com/davidbombal Instagram: www.instagram.com/davidbombal LinkedIn: www.linkedin.com/in/davidbombal Facebook: www.facebook.com/davidbombal.co TikTok: tiktok.com/@davidbombal YouTube: / @davidbombal Spotify: open.spotify.com/show/3f6k6gE... SoundCloud: / davidbombal Apple Podcast: podcasts.apple.com/us/podcast... // MY STUFF // https://www.amazon.com/shop/davidbombal // SPONSORS // Interested in sponsoring my videos? Reach out to my team here: sponsors@davidbombal.com // MENU // 0:00 - Coming Up 0:30 - Introduction 01:48 - NeoClouds and the Importance of Networking 02:52 - Data Sovereignty 04:47 - Challenges faced for Data Centres 07:31 - Electricity and Data Centres 09:18 - Technical Problems and Cisco's Solutions 12:41 - Lack of Skills in the Industry 13:21 - Is it still Worth Getting into Cyber today? 15:44 - Security of AI and Trusting your AI 18:06 - NTT Data and Cisco Partnership 20:01 - Who is Buying and Deploying this New Tech 21:52 - Could Agentic AI help solve Problems 23:46 - Customer Feedback on Agentic AI 24:57 - Physical AI is the Next Step in AI 25:58 - The Future of AI and Networking 28:05 - Post Quantum Cryptography 28:57 - Advice for Young People today 30:17 - Outro Please note that links listed may be affiliate links and provide me with a small percentage/kickback should you use them to purchase any of the items listed or recommended. Thank you for supporting me and this channel! Disclaimer: This video is for educational purposes only. #ntt #agenticai #postquantum

Jim Lundy, Founder and CEO of Aragon Research, spoke with Moshe Beauford of Technology Reseller News, during the Enterprise Connect conference about the growing importance of edge computing, AI infrastructure, and data sovereignty in enterprise technology strategies. Lundy explained that while cloud computing has dominated enterprise IT strategies over the past decade, the rapid rise of AI workloads is pushing organizations to rethink where data processing should occur. Running AI models in centralized cloud environments can be expensive and inefficient for many real-time applications. As a result, enterprises are increasingly moving AI workloads closer to where the data resides—at the edge. “AI runs faster when it's closer to the data, and for many enterprises the edge is becoming the natural place to process those workloads,” Lundy said. The conversation also explored the growing role of data sovereignty and security in shaping infrastructure decisions. Organizations in regulated industries are facing new pressures to maintain tighter control over sensitive data while still taking advantage of AI-driven analytics and automation. Edge-based infrastructure can help address these challenges by allowing enterprises to process data locally rather than sending everything to centralized cloud platforms. Lundy emphasized that this shift does not signal the end of the cloud, but rather the emergence of hybrid architectures that combine cloud scalability with edge performance. These distributed models allow enterprises to optimize cost, performance, and security as AI applications continue to expand across industries. As discussions at Enterprise Connect highlighted the accelerating impact of AI on communications, collaboration, and enterprise infrastructure, Lundy noted that organizations that rethink their data architecture today will be better positioned to take advantage of the next generation of AI-driven innovation. Learn more about Aragon Research: https://aragonresearch.com/

Your physical supply chain is optimized. Your data supply chain is broken. That's the hard truth at the center of this conversation and it's one most automotive leaders haven't fully faced yet.In this episode, Jan Griffiths and Tom Roberts sit down with Kevin Piotrowski, Chief Transformation Officer at AIAG, to break down Catena-X: what it is, why it matters, and why the automotive industry can no longer afford to ignore it.Kevin makes the case clearly: the data that companies need to make decisions no longer lives inside their four walls. 60, 70, 80% of decision-critical data now comes from outside the enterprise, from supply chains both upstream and downstream. Catena-X is the ecosystem built to move that data securely, at scale, across the entire supply chain, while protecting IP, maintaining data sovereignty, and enabling AI and robotics to act on it.This is not another IT initiative. It's a movement. Approaching its fifth anniversary in Europe and hitting year one or two in North America, Catena-X is entering the adoption phase and AIAG is driving that effort as the North American hub. The Readiness Booster Program, a 12-week onboarding, is already helping companies of all sizes get connected. From small suppliers using an Excel file to large manufacturers building their own certified connectors, there's an on-ramp for everyone.The challenges are real. Trust between OEMs and suppliers has never been a strength of this industry. Data extraction from fragmented ERP systems is hard. And many companies haven't even defined a data strategy yet. But the companies that wait will absorb the cost. The companies that move will build a competitive advantage that compounds: in quality, sustainability, carbon footprint reporting, digital twins, and beyond.Jan and Tom will both be at the AIAG Elevate conference in Detroit on May 21st. If you want to understand what's coming and where the real tension between OEMs and suppliers sits, that's the room to be in.Themes Discussed in This EpisodeWhy the data supply chain is the next frontier for automotiveWhat Catena-X is and why it's more than a data exchangeData sovereignty: how suppliers protect IP while sharing across the chainThe path from data to AI to robotics and why it's now one integrated systemThe Readiness Booster Program: how to get connected in 12 weeksWhy every supplier needs a data strategy before they pick a solutionThe trust deficit between OEMs and suppliers, and why it has to changeCatena-X in two years and five years: the global expansion roadmapAIAG Elevate Detroit Conference, May 21st: what to expectFeatured GuestName: Kevin PiotrowskiTitle: Chief Transformation Officer, AIAGAbout: Kevin Piotrowski serves as Chief Transformation Officer at AIAG, where he leads North American efforts around Catena-X adoption and digital transformation across the automotive supply chain. Kevin brings deep expertise in data strategy, supply chain technology, and industry collaboration, working directly with OEMs, suppliers, and solution providers to accelerate the shift toward connected, AI-ready supply chains.Connect: LinkedInAbout Your HostsJan GriffithsJan is the host and producer of the Auto Supply Chain Champions Podcast and The Automotive Leaders Podcast. A former automotive manufacturing and supply chain executive, Jan is recognized as a Champion for Culture Change in the automotive industry. She brings direct, grounded conversations to leaders navigating execution, disruption, and transformation across the global automotive ecosystem.Tom Roberts (Co-host)Tom is Co-host of the Auto Supply Chain Champions Podcast and Vice President of Strategic Industry Development at QAD. He works closely with automotive and industrial manufacturers to close the gap between insight and execution, helping leaders move from visibility to systems of action that drive real operational outcomes.Mentioned in the Episode:American Manufacturing SummitCatena-X North America HubAIAG North American Catena-X ConferenceEpisode Highlights[00:00:00] The Broken Data Supply Chain: Jan explains that while automotive perfected the physical supply chain, the data supply chain remains fragmented across disconnected systems. Catena-X aims to connect and standardize how critical supply chain data moves.[00:03:04] What Catena-X Actually Is: Kevin explains Catena-X simply: a secure way for companies to exchange complex supply chain data across the entire network, not just point-to-point.[00:04:56] Data Sovereignty in Practice: Kevin describes how Catena-X protects sensitive relationships. Data moves only one level up or down the chain, so companies see outcomes without exposing supplier identities.[00:08:00] From Data to AI to Robotics: Clean data feeds Catena-X, which enables secure exchange, powers AI decision-making, and ultimately drives automation and robotics.[00:10:07] The Readiness Booster Program: AIAG's 12-week onboarding program helps companies quickly join the Catena-X network with training, connectors, and testing for suppliers of all sizes.[00:12:28] The Real Challenge: Strategy Before Solution: Many companies jump to tools before defining their data strategy. Kevin emphasizes understanding what data exists, where it lives, and what should be shared.[00:13:46] Trust: The Automotive Industry's Weakest Link: Jan and Kevin discuss how trust and collaboration across OEMs and suppliers will determine how fast Catena-X can scale.[00:17:11] Two Years and Five Years Out: Kevin predicts global expansion of Catena-X in the next two years, with broader adoption and measurable value across industries within five.[00:19:06] See You at AIAG Elevate – May 21 in Detroit: Jan and Tom commit to attending the AIAG Elevate conference to hear firsthand how OEMs and suppliers are approaching Catena-X adoption.Top Quotes[00:00:30] Tom: “Manufacturers don't have a data problem; they've got an execution problem.”[00:01:23] Jan: “We spend decades optimizing physical supply chains. We're very, very good at it. But that data supply chain is still broken.”[00:04:16] Kevin: “Today, 60, 70, 80% pick a number, but it's a big number. They need data outside their four walls to make the proper decisions.”[00:07:09] Kevin: “Data sovereignty is making sure everybody has access only to the data they should see and to nobody else's.”[00:09:07] Kevin: “It starts with data, it works its way where you need to exchange it in a secure way, and then it goes to AI engines, and then it goes to robotics.”[00:13:46] Kevin: “Trust up the chain and down the chain is gonna become a very key factor.”[00:17:47] Kevin: “Just like EDI and common barcoding and common quality requirements have saved the industry probably billions of dollars over the decades, this has that same promise.”Follow the Auto Supply Chain Champions Podcast for real conversations with leaders who are making hard choices, focusing their bets, and leading with intent.

Third-party risk is no longer a background concern for healthcare organizations -- it is a frontline challenge. Jason Kor, Principal at HITRUST, works on the company's third-party risk management team, helping enterprises understand the security risk embedded in their supply chains. The numbers tell a stark story: according to Security Scorecard, 99% of the world's 2,000 largest companies are actively connected to a vendor that has experienced a breach in the past 18 months. And Verizon's Data Breach Investigations Report shows that the share of breaches tied to a third party has doubled year over year. HITRUST exists precisely to help organizations move from awareness to action. HITRUST will be at HIMSS 2026 in Las Vegas, March 9-12, at Booth 11307. Stop playing whack-a-mole with vendor risk -- step into the VR challenge and win prizes. For organizations already holding a HITRUST certification, the team has something else waiting: a trophy recognizing the commitment to independent, external audits and rigorous security standards. For those exploring certification for the first time, the booth is a chance to understand how HITRUST compares to alternatives like SOC 2 questionnaires -- and why scalability and risk reduction make it the stronger choice for supply chain assurance. Kor puts it plainly: the audits are time-consuming and expensive because they are effective. And at the end of the process, someone reads that report and makes real business decisions based on what it contains. Two major themes converge at this year's event: supply chain risk and AI. HITRUST has already launched an AI security assessment offering, and new CSF releases are on the horizon, including a report center feature enabling online review of assessments for anti-fraud and continuous monitoring purposes. On Tuesday, March 10, 2026, from 11:10 AM to 11:30 AM, Kor will deliver a 20-minute session titled "Understanding AI Security Risk -- The New Blind Spot in TPRM and Supply Chain Resilience." The session addresses a rapidly evolving challenge: as organizations build their own generative AI tooling -- or work with third parties that have integrated AI into their products -- questions around data sovereignty, input handling, and model provenance become critical, especially in healthcare where electronic health information is at stake. Also on the HIMSS 2026 agenda from HITRUST: Ryan Patrick, Executive Vice President of TPRM Customer Solutions, joins John P. Houston of UPMC and Chuck Christian of Franciscan Health for a Brunch Briefing titled "Building Secure, Compliant, and Resilient Healthcare Systems Together" on Tuesday, March 10, 2026, from 10:30 AM to 11:45 AM at Level 1, Casanova 505. The session offers practical strategies, frameworks, and real-world lessons for organizations looking to reduce risk, enhance protection, and advance trust in an evolving threat and regulatory landscape. This is a Brand Spotlight. A Brand Spotlight is a ~15 minute conversation designed to explore the guest, their company, and what makes their approach unique. Learn more: https://www.studioc60.com/creation#spotlight GUEST Jason Kor, Principal, HITRUSThttps://www.linkedin.com/in/securityconsultantcissp/ RESOURCES HITRUST: https://hitrustalliance.net Jason Kor Session -- Understanding AI Security Risk -- The New Blind Spot in TPRM and Supply Chain Resilience (Tuesday, March 10, 2026, 11:10 AM - 11:30 AM): https://app.himssconference.com/event/himss-2026/planning/UGxhbm5pbmdfNDMyMTMxOA== Building Secure, Compliant, and Resilient Healthcare Systems Together -- Brunch Briefing (Tuesday, March 10, 2026, 10:30 AM - 11:45 AM): https://app.himssconference.com/event/himss-2026/planning/UGxhbm5pbmdfNDMzNzQwMQ== HIMSS 2026 Global Health Conference and Exhibition: https://www.itspmagazine.com/cybersecurity-technology-society-events/himss-global-health-conference-amp-exhibition-2026 Are you interested in telling your story? ▶︎ Full Length Brand Story: https://www.studioc60.com/content-creation#full ▶︎ Brand Spotlight Story: https://www.studioc60.com/content-creation#spotlight ▶︎ Brand Highlight Story: https://www.studioc60.com/content-creation#highlight KEYWORDS Jason Kor, HITRUST, Sean Martin, brand story, brand marketing, marketing podcast, brand spotlight, third-party risk management, TPRM, supply chain risk, healthcare cybersecurity, HIMSS 2026, AI security, generative AI risk, HITRUST CSF, cybersecurity certification, data sovereignty, electronic health information, vendor risk management Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

This Podcast is sponsored by Team Simmer. Go to TeamSimmer and use the coupon code DEVIATE for 10% on individual course purchases. The Technical Marketing Handbook provides a comprehensive journey through technical marketing principles. Sign up to the Simmer Newsletter for the latest news in Technical Marketing. NEW SIMMER COURSE ALERT!  - Data Analysis with R - taught by Arben Kqiku  Latest content from Simo Ahava Run Server-side Google Tag Manager On Localhost Article Latest content from Juliana Jackson  Agent social networks are just a hall of mirrors (subscribe to the newsletter for more amazing content) Mentioned in the episode: Matomo Tag Piper by David Vallejo Walker OS Jason Packer's new book: Google Analytics Alternatives Superweek Analytics Summit Measurecamp Helsinki Connect with Johan: Linkedin GA4BigQuery GA4Dataform This podcast is brought to you by Juliana Jackson and Simo Ahava.

AI is evolving faster than we can secure it, and data poisoning threatens to turn the systems we trust into unpredictable liabilities. Join us as Wendy Chin, CEO of PureCipher, reveals the silent vulnerabilities in artificial intelligence and how we can protect the future of super intelligence before it is too late. In this episode, we explore the critical intersection of cybersecurity and artificial intelligence. Wendy breaks down how even a fraction of a percent of compromised data can drastically reduce AI accuracy and lead to dangerous real-world outcomes. We discuss the transition from traditional cybersecurity perimeters to defending the data itself, ensuring that AI models remain safe, ethical, and aligned with humanity. We also dive into the groundbreaking Omniseal technology from PureCipher, an invisible watermark that authenticates data and prevents malicious tampering. Whether you are building AI agents, managing sensitive enterprise data, or simply navigating the new digital landscape, understanding these advanced security layers is absolutely essential for the future of business. Chapters 00:00 Introduction and Background of Wendy Chin 01:06 AI Security and the Future of Technology 04:07 Meet Wendy Chin and the Future of AI Security 05:46 From Bell Labs to Cybersecurity Innovation 08:21 Why Startups Outpace Corporate Hierarchies 11:18 The Hidden Dangers of AI Data Poisoning 13:33 Building PureCipher to Secure Artificial Intelligence 17:57 Why Super AI Needs Empathy to Survive 22:38 Securing Training Data with Invisible Watermarks 28:21 Data Sovereignty and Monetizing Your Digital Footprint 32:27 How the PureCipher Platform Protects Data 35:02 Partnering with the Defense Industry for AI Safety 38:28 What Every Company Must Ask AI Vendors 41:08 Why AI Hallucinates and How to Fix It 45:00 The 2026 Roadmap for PureCipher and OmniSeal 46:32 The Business Model Behind AI Trust Layers 48:04 Where to Connect with Wendy Chin Host: Jake Aaron Villarreal leads the top AI recruitment firm in Silicon Valley, www.matchrelevant.com, uncovering stories of funded startups and going behind the scenes to tell their founders' journeys. If you are growing an AI startup or have a great story to tell, email us at: jake.villarreal@matchrelevant.com

Trump tells diplomats to fight digital sovereignty. DeepSeek allegedly trains on banned Nvidia chips. Google knocks out Gallium. Hackers tamper with patient records in New Zealand. Popular mental health apps leak risk. Wynn confirms a ShinyHunters breach. Telecoms dodge New York cyber rules. Russia targets Telegram's founder. And a defense insider heads to prison for selling cyber weapons to Moscow. Andrew Dunbar, CISO of Shopify, discusses how identity and trust become the new perimeter and how commerce needs both. Barking backlash brews beneath big-game broadcast. Remember to leave us a 5-star rating and review in your favorite podcast app. Miss an episode? Sign-up for our daily intelligence roundup, Daily Briefing, and you'll never miss a beat. And be sure to follow CyberWire Daily on LinkedIn. CyberWire Guest Today we are joined by Andrew Dunbar, CISO of Shopify, to discuss how identity and trust become the new perimeter and how commerce needs both to be engineered into the platform. Selected Reading Exclusive: US orders diplomats to fight data sovereignty initiatives (Reuters) Exclusive: China's DeepSeek trained AI model on Nvidia's best chip despite US ban, official says (Reuters) Google disrupts Chinese-linked hackers that attacked 53 groups globally (Reuters) Patient data changed as major NZ health app MediMap hacked (RNZ News) Android mental health apps with 14.7M installs filled with security flaws (Bleeping Computer) Wynn Resorts Confirms Cyberattack & Extortion Threat, Claims Data Deleted (Casino.org) Verizon successfully dodged data security rules from state regulators (Times Union) Russia opens probe of Telegram chief, claiming app has been used for terrorism (Washington Post)  Former Defense Contractor Sentenced to 87 Months in Prison for Selling Secrets to Russia: Peter Williams Trade Secrets Case Concludes (TechNadu) $10,000 bounty offered if you can hack Ring cameras to stop them sharing your data with Amazon (Bitdefender) Share your feedback. What do you think about CyberWire Daily? Please take a few minutes to share your thoughts with us by completing our brief listener survey. Thank you for helping us continue to improve our show. Want to hear your company in the show? N2K CyberWire helps you reach the industry's most influential leaders and operators, while building visibility, authority, and connectivity across the cybersecurity community. Learn more at sponsor.thecyberwire.com. The CyberWire is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc. Learn more about your ad choices. Visit megaphone.fm/adchoices

As African universities accelerate the adoption of Artificial Intelligence, experts are calling for a model rooted in collaboration and context.Education leaders say South–South partnerships are critical — allowing institutions to share infrastructure costs, scale successful pilot projects, and avoid costly mistakes. Networks such as the Education Collaborative are already helping universities learn from one another and co-develop solutions suited to emerging markets.But collaboration alone is not enough.Innovation leaders within the AfriLabs ecosystem argue that AI systems must be built on local data and traditional knowledge systems to ensure relevance. They warn that overreliance on foreign datasets and external funding risks producing tools that fail to reflect African realities.The message is clear: Africa's AI future must be shared — but it must also be sovereign.

"It's not just about where your data lives - it's about who should, or shouldn't, have access to it."In this episode of Softcat's Explain IT podcast, host Helen Gidney, Head of Architecture at Softcat, is joined by Sabina Anja, Chief Technologist, VMware Cloud Foundation at Broadcom, and Gary Hawkins, Chief Technologist, Hybrid Platforms at Softcat, to demystify the complexities of Data Sovereignty.As organisations face increasing regulatory pressure and the rapid adoption of AI, understanding where your data lives - and who controls it - is critical. The discussion explores how governance, the Cloud Act, and GDPR are reshaping cloud strategies across Europe, driving a renewed interest in private cloud and sovereign cloud solutions.In this episode, Helen, Sabina and Gary discuss:• Defining Data Sovereignty: Why it is not just about location, but about jurisdiction, technical control, and operational access.• The Reality of Repatriation: Analysing the shift back to on-premise or Neo cloud environments to control data, without abandoning public cloud entirely.• Modern Infrastructure: How containers, Kubernetes, and AI demands are influencing infrastructure and data design.• The Power of Platforms: Meaningful insights on using VMware Cloud Foundation 9 (VCF9) to provide a unified control plane for policy-based data sovereignty.Thanks for listening to the Explain IT podcast from Softcat.This podcast is produced by The Podcast Coach. Hosted on Acast. See acast.com/privacy for more information.

 In our February 2026 Community Chat, and with members of the Caribbean tech community, an HR Consultant and Founder and CEO of Persolve Limited in Trinidad and Tobago, Joel-Ann Cook-Walcott, and a long-time friend of the Show, Steven Williams, the Executive Director of Sunisle Communications Inc., and the Principal Consultant of Data Privacy and Management Advisory Services in Barbados, the panel discusses:   *  The evolving need for Caribbean digital sovereignty, and   *  Will the Silicon Valley tech culture shape the Caribbean workplace?   The episode, show notes and links to some of the things mentioned during the episode can be found on the ICT Pulse Podcast Page (www.ict-pulse.com/category/podcast/)       Enjoyed the episode?  Do rate the show and leave us a review!       Also, connect with us on: Facebook – https://www.facebook.com/ICTPulse/   Instagram –  https://www.instagram.com/ictpulse/   Twitter –  https://twitter.com/ICTPulse   LinkedIn –  https://www.linkedin.com/company/3745954/admin/   Join our mailing list: http://eepurl.com/qnUtj    Music credit: The Last Word (Oui Ma Chérie), by Andy Narrell Podcast editing support:  Mayra Bonilla Lopez   ---------------  

Anthropic just set up in Bangalore, announcing partnerships across health, education, and government. The "ethical AI" company is positioning itself as the responsible alternative to OpenAI.But the Wall Street Journal revealed the US military used Claude to help capture Venezuela's former president—violating Anthropic's own guidelines prohibiting violence and surveillance.Now the US government wants Anthropic to drop those restrictions entirely. The company is caught between its founding principles and its home government's demands, which brings up questions about data sovereignty into focus. Host Rachel Varghese digs in. *The host mistakenly says NCPI instead of NPCIListen to my episode on Claude Cowork and the "SaaSpocalypse" here. Listen to Snigdha's episode on why ChatGPT is cheapest in India here. If you have any thoughts on this episode write to us at podcasts@the-ken.com with Daybreak in the subject line. You can also leave us a comment on our website or the YouTube channel here.Daybreak is produced from the newsroom of The Ken, India's first subscriber-only business news platform. Subscribe for more exclusive, deeply-reported, and analytical business stories.

The recent Eightfold AI class action lawsuit is making waves in the recruitment technology industry, but it's not really about AI—it's about data protection and personal data sovereignty. In today's podcast, industry experts Alex Murphy (CEO of JobSync) and Leah Daniels (COO of JobSync) break down what this lawsuit means for vendors, employers, and job seekers alike. Learn more about your ad choices. Visit megaphone.fm/adchoices

Digital information is constantly in motion, crossing borders and jurisdictions. Learn about the current dynamics around data sovereignty and the importance of understanding the path your data takes. CHAPTERS 00:00 Intro 03:38 Data in Flight 06:52 Consideration Factors for Data Paths 10:17 Failover Considerations 12:13 On Encryption and Quantum Computing 13:57 How AI Adds Complexity to Data Sovereignty 16:17 Key Takeaways For additional insights, check out The Internet Outage Survival Kit: https://www.thousandeyes.com/resources/the-internet-outage-survival-kit?utm_source=soundcloud&utm_medium=referral&utm_campaign=fy26q3_internetreport_q3fy26ep131_podcast ——— Want to get in touch? If you have questions, feedback, or guests you would like to see featured on the show, send us a note at InternetReport@thousandeyes.com. Or, follow us on LinkedIn or X:. ——— ABOUT THE INTERNET REPORT This is The Internet Report, a podcast uncovering what's working and what's breaking on the Internet—and why. Tune in to hear ThousandEyes' Internet experts dig into some of the most interesting outage events from recent weeks, discussing what went awry—was it the Internet, or an application issue? Plus, learn about the latest trends in ISP outages, cloud network outages, collaboration network outages, and more. Catch all the episodes on your favorite podcast platform: - Apple Podcasts: https://podcasts.apple.com/us/podcast/the-internet-report/id1506984526 - Spotify: https://open.spotify.com/show/5ADFvqAtgsbYwk4JiZFqHQ?si=00e9c4b53aff4d08&nd=1&dlsi=eab65c9ea39d4773 - SoundCloud: https://soundcloud.com/ciscopodcastnetwork/sets/the-internet-report - YouTube: https://www.youtube.com/channel/UCewXUwLMfn7Y69C6vGRVwyw

Digital information is constantly in motion, crossing borders and jurisdictions. Learn about the current dynamics around data sovereignty and the importance of understanding the path your data takes. CHAPTERS00:00 Intro 03:38 Data in Flight 06:52 Consideration Factors for Data Paths 10:17 Failover Considerations 12:13 On Encryption and Quantum Computing 13:57 How AI Adds Complexity to Data Sovereignty 16:17 Key Takeaways For additional insights, check out The Internet Outage Survival Kit: https://www.thousandeyes.com/resources/the-internet-outage-survival-kit?utm_source=wistia&utm_medium=referral&utm_campaign=fy26q3_internetreport_q3fy26ep131_podcast ——— Want to get in touch? If you have questions, feedback, or guests you would like to see featured on the show, send us a note at InternetReport@thousandeyes.com. Or, follow us on LinkedIn or X: @thousandeyes ——— ABOUT THE INTERNET REPORT This is The Internet Report, a podcast uncovering what's working and what's breaking on the Internet—and why. Tune in to hear ThousandEyes' Internet experts dig into some of the most interesting outage events from recent weeks, discussing what went awry—was it the Internet, or an application issue? Plus, learn about the latest trends in ISP outages, cloud network outages, collaboration network outages, and more. Catch all the episodes on your favorite podcast platform: - Apple Podcasts: https://podcasts.apple.com/us/podcast/the-internet-report/id1506984526 - Spotify: https://open.spotify.com/show/5ADFvqAtgsbYwk4JiZFqHQ?si=00e9c4b53aff4d08&nd=1&dlsi=eab65c9ea39d4773 - SoundCloud: https://soundcloud.com/ciscopodcastnetwork/sets/the-internet-report- YouTube: https://www.youtube.com/channel/UCewXUwLMfn7Y69C6vGRVwyw

Today, we're joined by Jared Shepard, Chief Executive Officer at Hypori, a mobile access platform enabling secure virtual access to enterprise apps and data from any mobile device with total personal privacy. We talk about:Jared's journey from homeless high school dropout to tech founderSolving hard problems, like edge compute in the militaryThe value of hybrid compute solutions, incorporating cloud and edge devicesApplying the elasticity of the cloud to mobile device use

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

In this episode of TechMagic, hosts Cathy Hackl and Lee Kebler return from a holiday break to unpack the most important ideas and innovations from CES 2026. Cathy breaks down how the AI conversation has evolved beyond large language models into embodied AI, agentic systems, world models, and on-device intelligence. The discussion spans standout demos, from attention-aware robots and immersive VR experiences to smart wearables and biodegradable batteries. Cathy and Lee also question whether AI is solving real problems or becoming an innovation theatre. We end with a forward look at 2027 as a critical inflection point for AI devices from Apple, OpenAI, and Meta.Come for the tech, stay for the magic!Cathy Hackl BioCathy Hackl is a globally recognized tech & gaming executive, futurist, and speaker focused on spatial computing, virtual worlds, augmented reality, AI, strategic foresight, and gaming platforms strategy. She's one of the top tech voices on LinkedIn and is the CEO of Spatial Dynamics, a spatial computing and AI solutions company, including gaming. Cathy has worked at Amazon Web Services (AWS), Magic Leap, and HTC VIVE and has advised companies like Nike, Ralph Lauren, Walmart, Louis Vuitton, and Clinique on their emerging tech and gaming journeys. She has spoken at Harvard Business School, MIT, SXSW, Comic-Con, WEF Annual Meeting in Davos 2023, CES, MWC, Vogue's Forces of Fashion, and more. Cathy Hackl on LinkedInSpatial Dynamics on LinkedInLee Kebler BioLee has been at the forefront of blending technology and entertainment since 2003, creating advanced studios for icons like Will.i.am and producing music for Britney Spears and Big & Rich. Pioneering in VR since 2016, he has managed enterprise data at Nike, led VR broadcasting for Intel at the Japan 2020 Olympics, and driven large-scale marketing campaigns for Walmart, Levi's, and Nasdaq. A TEDx speaker on enterprise VR, Lee is currently authoring a book on generative AI and delving into splinternet theory and data privacy as new tech laws unfold across the US.Lee Kebler on LinkedInKey Discussion Topics: 00:00 Intro: Welcome Back to Tech Magic in 202603:27 AI's Evolution: From Language Models to Embodied Intelligence05:30 Glasses Galore: Meta Ray-Ban Displays and Wearable Utility09:26 Robots Everywhere: From Laundry Folders to AI-Powered Lawnmowers12:00 CES 2027 Inflection Point: Q3-Q4 2026 Device Announcements to Watch16:11 Innovation Theater vs. Problem-Solving: Evaluating Real Tech Impact18:21 Trinity Vehicle and Cool Concepts: NVIDIA and Will.i.am's AI-Powered EV20:51 Biodegradable Paper Batteries: Flint's Sustainable Solution23:04 XR Display Glasses and Next-Gen Wearables: X Real and Gaming Integration24:01 Attention Labs: On-Device AI and Data Sovereignty in Robotics27:53 Why On-Device AI Matters: Global Markets and Data Regulations29:30 IXR Podcast Meetup: Felix and Paul's Interstellar Arc VR Experience33:32 LEGO Smart Bricks: The Future of Educational Robotics35:44 Final Thoughts: CES as Geekapalooza and Plans for 2027 Hosted on Acast. See acast.com/privacy for more information.

In today's show, BAILeY, your semi-sentient hostess with the mostest metadata, teams up with Frank La Vigne to welcome the ever-insightful Andrew Brust for a deep dive into the evolving Microsoft data ecosystem. From nostalgic tales of Windows history and scoring elusive Clippy swag at Ignite, to unraveling what makes Microsoft Fabric a game-changer for data integration, AI, and governance, this episode covers it all.You'll hear firsthand how Microsoft's innovation goes far beyond the tech itself—focusing on seamless integration, unified billing, and organizational synergy. Andrew Brust sheds light on the journey from fragmented Azure services to the unified vision of Fabric, the rise of generative AI and “agentic” intelligence, and the increasingly important role of data sovereignty and governance in today's regulatory landscape.Whether you're a data enthusiast, an AI tinkerer, or just in it for the nostalgia, grab your headphones and get ready for insights, laughs, and more acronyms than you can shake a dataset at. Stay curious and caffeinated—this episode has something for everyone!Time Stamps00:00 Microsoft Expertise and Industry Analysis03:18 "Big Data and Analytics Insights"08:31 Power BI's Rise in Azure12:26 "Unified Fabric-Based Data Platform"14:01 "Fabric IQ Powers AI Integration"17:24 "Achieving Synergy Against Odds"23:32 "Unified Compute for Seamless Integration"24:41 "Overwhelmed by AWS Complexity"28:21 "Microsoft Research Powers Azure Fabric"34:20 "Azure Foundry and Tools"37:33 "Flexibility Beyond Major Cloud Providers"41:33 Global Data Privacy Trends45:13 "Governance for Agentic AI"47:29 "Azure Stack and Local Clouds"50:13 "Kubernetes: The Cloud Caveat"53:40 "Let's Reconnect and Reminisce"

How are our networks designed to cope with the increasing demands of AI? This week, Technology Now dives into the topic of networking for AI, exploring how our networks have adapted and evolved to meet the ever growing demands of modern day AI infrastructure. Praful Lalchandani,VP of Networking Product Management, tells us more.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week, hosts Michael Bird and Sam Jarrell look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations.About Praful: https://www.linkedin.com/in/prafullalchandani/Sources:https://www.networkworld.com/article/972044/ethernet-at-50-bob-metcalfe-pulls-down-the-turing-award.htmlhttps://www.networkworld.com/article/970970/what-is-ethernet.htmlhttps://computer.howstuffworks.com/ethernet5.htm