Podcasts about microsoft copilot

If you spent too much time prompting Claude's Fable 5 before it likely goes away to subscribers in 10 days, you might have missed some AI gems.

This week we highlight the dual-natured impact of artificial intelligence on global security, privacy, and administrative productivity. On the defensive side, tools like Google's Gemini are blocking billions of fraudulent ads, while the NHS is deploying Microsoft Copilot to drastically reduce clinical paperwork. Conversely, bad actors are leveraging AI-driven phishing to compromise digital assets and developing adaptive malware that can reason through system defenses. Serious privacy concerns also emerge, evidenced by Meta's controversial development of facial recognition for smart glasses and the misuse of automated license plate readers by law enforcement. Additionally, the reports detail how nation-state actors use professional networks like LinkedIn for espionage and how criminals exploit autonomous transit for physical crimes. Ultimately, the collection suggests that as AI becomes a central pillar of modern life, the most critical security skill is the ability to verify identity in an increasingly deceptive digital landscape.

206: Wird KI die Assistenz ersetzen, oder ihre Rolle sogar stärken? In dieser Podcast-Folge sprechen wir über die praktische Nutzung von Microsoft Copilot, den Einsatz von KI im Arbeitsalltag und die Veränderungen, die aktuell in Unternehmen stattfinden. Warum haben manche Organisationen KI bereits fest in ihrer Arbeitsweise verankert, während andere noch ganz am Anfang stehen? Welche Aufgaben lassen sich heute schon automatisieren – und wo bleibt der Mensch unverzichtbar? Außerdem geht es um typische Anwendungsfälle für Assistenzen, den Umgang mit Datenschutz, die Bedeutung von KI-Kompetenz sowie die Frage, wie sich die Zusammenarbeit zwischen Führungskräften und Assistenz durch Copilot und Agenten verändern wird. Themen der Folge: - Microsoft Copilot im Arbeitsalltag - KI für Assistenz und Office Management - Produktivität und Automatisierung - Agenten und moderne Arbeitsprozesse - Change Management und KI-Adoption - Datenschutz und Governance - Die Zukunft der Assistenzrolle - Praktische Copilot-Use-Cases aus Unternehmen Eine Folge für alle, die KI nicht nur verstehen, sondern sinnvoll im Berufsalltag einsetzen möchten.   Pascal Brunner-Nikolla ist Head of Modern Work bei Campana & Schott, Microsoft MVP in Copilot + Agents und LinkedIn Top Voice. Er zählt zu den führenden DACH-Stimmen rund um AI-Transformation und Microsoft. Mit dem LinkedIn-Newsletter „Copilot Your Day" liefert Pascal jeden Montagmorgen fundierte Insights aus über 400 Copilot-Projekten und zeigt, was Unternehmen dabei beachten müssen. Der Claim: Vom Pilot Limbo zu Copilot Your Day – für echten Business Impact durch KI im Arbeitsalltag. Zusätzlich bieten die deutschen LinkedIn-Learning-Kurse eine direkte Starthilfe.   LINKS: - Diana Brandl auf LinkedIn: https://www.linkedin.com/in/diana-brandl/ - Executive Office Insights Newsletter: https://the-socialista-projects.com/#newsletter   - Pascal Brunner-Nikolla auf LinkedIn: https://www.linkedin.com/in/pascal-brunner1/ - Copilot Your Day Newsletter: https://www.linkedin.com/newsletters/copilot-your-day-7145698987835101184/ - Copilot Your Day Podcast: https://open.spotify.com/show/7nV1oNFOWVJmyqC4XfX7gl?si=316c6a1e2c6d43d3 - LinkedIn-Learning-Kurse: https://www.linkedin.com/learning/instructors/pascal-brunner-nikolla - Ruben Hassid - How to AI: https://ruben.substack.com/ - CAS FH in Strategic Office Management: https://www.kalaidos-fh.ch/de-CH/Studiengaenge/CAS-Certificate-of-Advanced-Studies-Strategic-Office-Management   Danke an unseren Host: https://www.trafobaden.ch/   The Executive Office Insights Spotify Playlist: https://open.spotify.com/playlist/3QH8HL8oWIC0HzHWvb5KLd Pascal fügte „Viva La Vida" von Coldplay hinzu.

Is AI Giving Buyers the Right Information About Your Company? For years, your website was the first place buyers went to learn about your business. Today, buyers are also asking AI tools like ChatGPT, Gemini, Copilot, and Perplexity questions about suppliers, products, services, and industry challenges before they ever contact a salesperson. In this episode of Grounding AI, Donna Peterson explores a question every business leader should be asking: When buyers ask AI about your company, is AI giving them the right answer? You'll learn: Why AI may now be your company's first impression How industrial buyers are using AI during research and supplier selection Questions every company should test across multiple AI platforms Why generic content hurts visibility in AI-generated answers How to identify gaps between your messaging and what AI understands A simple exercise to evaluate your company's AI presence Ways to improve how AI describes your brand over time Action Step - Open three AI tools and ask: What does our company do? What problems do we solve? What makes us different? What industries do we serve? Why would someone choose us? Compare the answers and identify opportunities to strengthen your messaging. About Grounding AI: Grounding AI is a podcast for business leaders navigating artificial intelligence in practical ways. Hosted by Donna Peterson, each episode focuses on helping organizations use AI responsibly while strengthening relationships, communication, and business growth. *** Reach out to dpeterson@worldinnovators.com if you'd like help building a marketing strategy that builds relationships and/or AI training for individuals or full teams.*** Visit www.worldinnovators.com for more resources on building stronger marketing and leadership strategies.*** Subscribe to the Grounding AI podcast for weekly insights into marketing, leadership, and the future of AI.

Jim Love covers four headlines: hackers exploited Instagram's AI support bot to hijack over 20,000 accounts by abusing account recovery and password reset links, prompting Meta to disable the tool, remove faulty code, and add enhanced protections. A UN University report warns AI's environmental footprint extends beyond carbon, projecting data centers could consume 945 TWh annually by 2030 and highlighting growing demands for electricity, cooling water, land, and minerals, amid political backlash to data center incentives. A UK government review found false information from a Microsoft Copilot hallucination and other inaccuracies were included in West Midlands Police materials, pointing to failures in review and validation. CBC News also identified at least 14 foreign-linked Facebook accounts posing as Albertans in separatist groups, raising concerns about deceptive political participation and platform responsibility. 00:00 Today's Tech Headlines 00:36 Instagram Bot Account Hijacks 02:03 AI Agents Security Lessons 03:12 UN Report AI Resource Footprint 05:38 Copilot Hallucination Police Report 08:11 Fake Albertans in Facebook Groups 11:04 Wrap Up and Support the Show

Audio Month Day 9 - Microsoft Copilot

In MobileViews 6136, Jon Westfall and I tackled the increasingly complex world of AI ecosystems. I shared my early impressions of Google Labs' "Dream Beans," an interesting daily briefing tool that uses AI to generate an illustrated summary of topics it thinks you'll find interesting based on your activity. While the illustrations are very nice looking and the content relevant, the app is currently very phone-centric, lacking the landscape orientation optimization I'd expect for a tablet experience. I also noted that Google AI Pro remains a solid value for me at $20 a month. A major portion of the episode was dedicated to my "credit crunch" rant regarding Microsoft Copilot. I discovered that Microsoft's 365 family plan only provides 60 AI credits per month, and the "intentional use" policy is aggressive. According to Copilot itself, credits can be consumed simply by opening the app, syncing handwriting from an e-ink tablet to OneNote, or even having the AI suggest a grammar fix you don't actually use. This led me to explore Obsidian as a OneNote alternative, as it offers free handwriting plugins without the credit overhead. Jon suggested a sustainable path forward: using AI to build offline scripts or tools that perform data manipulation locally to avoid recurring token costs.We also looked at the hardware horizon, specifically Microsoft's announcement of Project Solera—AI-powered badges and desktop displays—and the new Nvidia RTX Spark PCs,. These machines are purpose-built for local AI, boasting a petaflop of performance to run personal agents offline. Finally, with Apple WWDC just around the corner, we shared our hopes for the long-promised "personal context" updates to Siri. Jon is also eagerly awaiting his pre-ordered Clicks communicator and keyboard, while I continue to hold out hope for a MacBook Neo with a backlit keyboard and a desktop Mac Neo. Whether it's navigating "vibe coding" loops or managing AI budgets, it's clear that the "magic math" of the AI industry is starting to meet the reality of the bean counters.

Copilot Cowork steht für die nächste Evolutionsstufe von KI im Arbeitsalltag: Weg vom reinen Chat-Assistenten, hin zum aktiven digitalen Mitarbeiter. Während klassische KI-Tools wie Microsoft Copilot vor allem beim Schreiben und Zusammenfassen unterstützen, übernimmt Copilot Cowork zunehmend eigenständig Aufgaben – über mehrere Anwendungen hinweg.

Agentic AI is being misread as a series of separate battles - e.g. Snowflake vs. Databricks, copilots vs. agents, model makers vs. app vendors, etc. We think the real story is that the biggest opportunity in software is converging around who owns the new intelligent client and the AI back end that makes it useful. The new client is the agent-based system of engagement - Snowflake's CoWork & CoCo, Databricks Genie, Microsoft Copilot, Google Gemini Enterprise, ChatGPT/Codex, Claude/Cowork and others. But that client cannot deliver business outcomes without a new back end - what we call a System of Intelligence - that represents a model of the enterprise in terms of its business rules and tacit knowledge. You can't build one without the other. We frame this premise using Clay Christensen's integrated innovation and Jensen's extreme co-design as applied to enterprise software.That is why Snowflake is the focal point for this Breaking Analysis, but not the whole story. Snowflake is not just competing with Databricks anymore. It is now in the same strategic arena as Microsoft, Google, OpenAI, Anthropic, Salesforce, SAP, ServiceNow, Celonis and others - all trying to define where business users, builders and agents get work done, and where the enterprise context that powers that work gets built.

KI entwickelt sich rasant weiter – und mit ihr die Möglichkeiten, Prozesse durch intelligente Agents zu automatisieren. Doch wie gelingt der Weg von der ersten Idee bis zum produktiven Einsatz im Unternehmen?

In this podcast episode, Microsoft's Sarika Kesavan shares insights into Microsoft Teams Rooms Express Install. She discusses ways organizations can transform small meeting spaces into intelligent collaboration hubs in as little as one hour. Discover how pre-engineered room solutions reduce deployment costs, simplify installation, replace unmanaged BYOD rooms, and create a consistent Teams experience that scales across your workplace.Learn more about Microsoft Express InstallMicrosoft Teams Rooms Express Install is a streamlined approach that helps organizations bring the full Teams Rooms experience to focus rooms and small meeting spaces without the complexity of traditional room builds.We share how Express Install helps organizations:Deploy Teams Rooms in about an hour instead of days or weeksReduce deployment costs by up to 40-50% compared to traditional room installationsEliminate the need for construction, permits, wall modifications, and extensive cablingStandardize meeting room experiences across locations with repeatable, pre-engineered designsUpgrade more rooms within existing budgetsReplace unmanaged BYOD spaces with secure, managed Teams RoomsDeliver one-touch join, content sharing, and a consistent Microsoft Teams experience in every roomGain centralized management and monitoring through Teams Rooms Pro ManagementCreate AI-ready meeting spaces that can take advantage of Microsoft Copilot and future intelligent collaboration capabilitiesLearn more about Microsoft Express InstallGet AV and unified communications news delivered to your inbox.Follow AVI-SPL:     Linkedin      X     YouTube

Send us Fan MailGuest: Ivan Lee, Founder & CEO of DatasaurWe're looking at what happens when AI changes the market faster than the old SaaS playbook can keep up.Ivan Lee, founder and CEO of Datasaur, joins SaaS Backwards to share how his company navigated one of the most dramatic shifts in enterprise AI. Datasaur started as a data annotation platform before ChatGPT changed customer priorities, paused AI roadmaps, and forced the company to rethink its product, GTM strategy, and business model.Ivan explains why out-of-the-box tools like ChatGPT Enterprise and Microsoft Copilot can be useful starting points, but often hit a ceiling for regulated enterprises that need private AI trained on their own data, workflows, and processes.He also shares how Datasaur moved from a traditional SaaS model toward end-to-end AI solutions, what founders can learn from disrupted marketing channels, and why the future of SaaS may depend less on selling software access and more on solving the customer's actual job to be done.Key Takeaways:Why enterprise AI often breaks down when it lacks access to private data and internal workflowsHow ChatGPT disrupted Datasaur's original AI roadmap and customer baseWhy old SaaS GTM channels stopped working in a crowded AI marketHow Datasaur rebuilt around private, secure AI for regulated industriesWhat SaaS founders should measure when marketing “best practices” stop producing results---Stalled pipeline? Lost deals? Diagnose your GTM gaps with a free, actionable checkup. 

Amy Hancock joins her Bean Counter to Boss co-host on the Ask the Accountant Pitstop Podcast, live from Accountex London 2026. They discuss the realities of running an accounting practice, networking at industry events, software integrations, audit specialisms, and how AI tools like Microsoft Copilot are changing the way accountants work.A relaxed and insightful conversation packed with practical takeaways for accountants, bookkeepers, and firm owners.Don't forget to check out all our other content such as our 'Cool Friends', 'Pitstop Podcasts' and more!https://linktr.ee/asktheaccountant#Accountex2026 #AskTheAccountant #BeanCounterToBoss #Accounting #Audit #AIinAccounting #Bookkeeping #MicrosoftCopilot✨ Want to turn long-form content into shorts? Try Opus clip: https://www.opus.pro/?via=5f284b

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/ — More than three years after ChatGPT's release, only 27% of executives say AI has met their ROI expectations. The history of factory electrification explains why — most companies are at the light-bulb stage, adding Copilot licenses rather than reconceptualizing their businesses around AI. In this episode I map the three stages of AI adoption, and show what it actually takes to move from chatbots to the autonomous company — the only stage where the moat becomes real. I covered: (01:40) Ford's electricity playbook: why AI adoption needs a complete rethink (03:51) The congestion problem: why AI gains stall (05:45) Chatbot to autonomous company: your three-stage roadmap (06:40) Why individual productivity gains won't build a moat — and what will (10:17) Which companies are getting AI transformation right (14:12) My 2029 AI adoption forecast — and how to stay ahead Read my essay "Why AI isn't showing up on your bottom line" on Substack: https://www.exponentialview.co/p/why-ai-isnt-showing-up-on-your-bottom-line — 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.

Welcome back to Stick to Football, brought to you by ARNE.In this episode Jurgen Klinsmann joins Gary Neville, Jill Scott, Roy Keane and Ian Wright to discuss his incredible career, from signing for Tottenham on Alan Sugar's yacht to facing Diego Maradona and winning the World Cup with Germany.Klinsmann opens up on his famous rivalry with Lothar Matthaus, explains why Germany always seemed to find a way to beat England in major tournaments, and reveals the lesson that changed his life while playing in Italy.The former Spurs striker also shares the story behind his iconic dive celebration, reflects on working under Arsène Wenger and Franz Beckenbauer, and gives his verdict on England's chances at the 2026 World Cup.Plus, Klinsmann discusses Maradona's genius, Harry Kane's move away from Spurs, and the one thing England still need to become world champions.Who has the better chance heading into this World Cup, England or Germany? Let us know in the comments and don't forget to like and subscribe to never miss an episode!This episode is sponsored by Huel.Gary Neville and the Stick to Football team know - when your day's full-on, you need fuel that's fast and actually good for you.Huel is the ultimate meal on the go - high protein, packed with 26 essential vitamins & minerals, and ready in seconds.

Send us Fan MailIn this jam-packed “mini” episode, Amith Nagarajan and Mallory Mejias break down a whirlwind of recent AI model releases—from Anthropic, Alibaba, Microsoft, and beyond—and what they signal about the rapidly evolving AI landscape. Then, they dive into Microsoft's 2026 Work Trend Index Report, unpacking the “agency equation” and what it really means for organizations navigating AI adoption. From the rise of agents and the four modes of working with AI to the growing gap between employee readiness and organizational culture, this episode explores why AI transformation is less about tools and more about leadership, systems, and mindset. Plus, they introduce the concept of “owned intelligence” and what it takes to become a true learning organization in the age of AI. 

Microsoft Copilot in Microsoft 365 kann Dir heute schon E-Mails, Kalender und Dateien abnehmen – wenn Du ihn richtig nutzt. In dieser Interview-Folge mit Florian Sandmann-Reetz bekommst Du konkrete Workflows, die sofort Zeitfresser® und Geldfresser® stoppen. In dieser Episode hörst Du, wie Du KI im Mittelstand wirklich produktiv einsetzt, wenn:

No matter your role, experience or industry, we all (mostly) waste hours a week doing the same thing: manually creating slides. 

This week was pretty exciting: Microsoft unveiled its Frontier Fine Tuning along with a new hardware stack and developer tools, while NVIDIA launched its foray into PC powered AI. Two big themes here: first is reducing computing cost as data centers start driving up all our AI cost, and second to make AI ever more personal for you and your company. You'll also see that we've optimized Galileo into the Microsoft Copilot and you can get early access below, with GA coming later this summer. Even if you're not an AI or PC geek this information is important because the way you focus your attention on AI has to change. We launch HR 2030 and the Josh Bersin Institute next week, stay tuned! Additional Information AI Prices Are Going Up, Up, Up – And What This Means For Enterprise AI Satya Nadella Keynote at Build (go to 1:45 for Frontier Fine Tuning announcement) Jensen Huang DTC Keynote in Taiwan More on Microsoft Frontier Fine Tuning for Copilot     Chapters (00:00:00) - AI Token Maxing and the High Cost of AI(00:05:03) - Microsoft's Edge computing and fine-tuning the(00:09:11) - How Nvidia Went From Graphics to AI

(Disclaimer: erstellt mit ChatGPT)Hallo liebe Community,

Welcome to another AI-generated recap from the Storage Meetup, the weekly live Zoom conversation where self-storage owners, operators, and vendors openly discuss what's actually happening in the industry. In this episode, the AI hosts break down key conversations from Storage Meetup #79, including: • AI tools like Microsoft Copilot and how operators are experimenting with them • The real financial realities of remote management • Lessons learned from wrongful storage auctions and operational accountability • Trade show logistics and industry event challenges • Creative marketing ideas for storage facilities • Mentorship, collaboration, and real-world operator insights This isn't a scripted webinar or polished panel discussion. It's an AI-powered overview built from real conversations happening inside the self-storage community. What is the Storage Meetup? The Storage Meetup is a weekly gathering focused on helping self-storage professionals: ✔ Connect ✔ Learn ✔ Grow Every Friday, owners, operators, vendors, and marketers come together to share ideas, challenges, tools, and strategies shaping the future of self-storage. Want to join the live conversations? Inside The Storage Marketplace, you'll find: • Weekly Storage Meetups • Live Show & Tell events • Vendors, tools, and solutions used by real operators

For this episode, I spoke with Peter Ward, a fellow Microsoft MVP and CEO of NYC-based SoHo Dragon, on the growing gap between what organizations see in Microsoft Copilot demos and what is actually available through their existing licenses. We explore how licensing complexity can impact adoption, create unrealistic expectations, and even lead to an emerging divide between AI-enabled employees and everyone else. You can find more information about my guest on my blog at buckleyplanet.com/

This week's full broadcast of Computer Talk Radio includes - 00:00 - Nerd News updates for normies - Samsung, YouTube, AI, Microsoft, FBI, data centers, Ferrari - 11:00 - Subtle ways devices change life - Benjamin shares subtle ways devices are rewiring daily life - 22:00 - WWDC concerns, AI searches - Keith says what shouldn't happen at WWDC, then AI searches - 31:00 - Marty Winston's Wisdom - Marty laments his experiences with Microsoft CoPilot - 39:00 - Scam Series - account deletion - Benjamin highlights the Account Deletion Warning Scam - 44:00 - Keske on microwave weapons - Steve tells of microwave and directed energy weapons - 56:00 - Dr Doreen Galli - Whisper Reports - Doreen covers whisper reports on AI in business and elsewhere - 1:07:00 - Listener Q&A - replacing old PC - Caleb on replacing old PC, Tara about choosing the right app - 1:16:00 - IT Professional Series - 381 - Controlling notifications is key to reducing noise in a loud world - 1:24:00 - Listener Q&A - safe updates - Sophia wants to know how to know which updates are safe

In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the critical definition and requirements for navigating Enterprise AI. You’ll learn how to distinguish between consumer-grade tools and the strict standards required in regulated industries. You’ll discover the twenty essential pillars for building a secure and compliant AI strategy for your organization. You’ll understand why rigorous vendor scrutiny matters as much for software as it does for human talent. You’ll gain clarity on the governance frameworks necessary to prevent data leaks and legal vulnerabilities in your enterprise. 00:00 – Introduction 03:15 – Defining Enterprise AI vs. SMB AI 07:45 – The role of Microsoft Copilot in regulated environments 12:20 – The 20 components of Enterprise AI readiness 18:10 – Challenges in organizational adoption and change management 22:30 – Security and data privacy as the foundation 27:00 – Call to action Watch this episode to master the complex landscape of regulated AI and safeguard your company’s future. Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-enterprise-ai-101.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, we are talking about Enterprise AI 101. I am in the midst of a series in the Trust Insights newsletter, which you can get at TrustInsights.ai/newsletter. Part one was last week on seven different aspects of enterprise AI. But Katie, you said it would probably be helpful to level set what enterprise AI is and how it differs from SMB AI, mid-market AI, consumer AI, and so on. Katie Robbert: It is interesting because I feel like every time we jump on to record a podcast, there is a whole new set of vocabulary that I need to get caught up with. We need to make sure that everyone else knows what we are talking about because there is nothing worse than listening to a podcast or reading an article and having no idea what the author is talking about because they are introducing a concept but not really explaining it. I wanted to take this episode to talk about what enterprise AI is. Since you and I have not defined it, I am going to take my best guess at what enterprise AI is using some logic and deduction. I could be wrong, and that is why I think it is worth covering. From my perspective, if I had to put a definition to it, I am assuming enterprise AI is the type of AI implementation that occurs at an enterprise-size company. That sounds overly simplistic, but the bigger the organization, the more red tape, the more politics, the more departments, the more stakeholders, and the more governance there is. There are a lot more complications versus a small business like we are, where we can just decide one day, “Hey, I am going to start using this tool.” There are no real hurdles to go through. Then you have those mid-sized companies where you start to introduce some of those hurdles. You might need to work with your IT team to make sure that everything is in compliance. You might need to make sure that you have a place to host these new pieces of software, and that is not something that the marketing team is necessarily responsible for. Then you get to the enterprise-size companies where everything is completely siloed. Even in the best enterprise-sized companies, you are going to run into these silos. Because no one person is responsible for everything, you typically have multiple CEOs. Depending on what part of the country you are in, you might have a board for every different division of the company. If you are a Procter & Gamble and you have hundreds of product lines underneath, each of those is their own individual business. Each of those businesses are not necessarily talking to each other or sharing resources. That is my logical guess at what enterprise AI is. Christopher S. Penn: That is what I started with until I started doing the research into it. I realized that is not what it is. The generally accepted definition is AI within any commercially regulated entity. I realized as I was going through the research that commercially regulated means you have external regulation imposed on the company. It might be a 50-person company, but if they work in HIPAA or FINRA, they have to behave in highly regulated ways. Whether you are publicly traded or, for example, colleges that have to adhere to FFIEC rules and FERPA rules, enterprise AI is about operating AI—whether classical or generative—in a commercially regulated environment where you have externally mandated requirements that you must meet. Your definition for small business stuff makes total sense in that environment because Trust Insights is not a regulated company. However, when we work with our healthcare clients, we have to behave as though we are an enterprise company because we have to conform to their requirements. Katie Robbert: I am glad we are talking about this because the terminology is confusing; when you think of an enterprise company, you are not thinking of a commercially regulated company. I have to wonder why it is not called commercially regulated AI versus non-commercially regulated AI. It is a mouthful and a little bit harder to remember, but it is more descriptive and more accurate. I think like me, a lot of people are going to get confused about what enterprise AI actually is. Christopher S. Penn: A lot of this is because our background is in marketing, so we use the term enterprise to just mean a big company. If we want to market to enterprise companies, we are not marketing to a 50-person firm; we are marketing to a 50,000-person firm. In a lot of CRM software, the dividing line is typically 10,000 employees or 100 million in revenue. This is especially relevant because you see a lot of AI companies like Anthropic and OpenAI in a fight with Microsoft to try and gain a foothold into those enterprises. Microsoft, with their Copilot offering, has dominance by the very fact that their legacy Office 365 stuff is approved in those regulated environments. Katie Robbert: It is ironic because we spent so much time admittedly dismissing Microsoft’s Copilot as the less than version of generative AI, and now Microsoft is getting the last laugh on everyone. They are saying, “You have to use me because I have already been approved by IT and governance, and good luck.” You are stuck with whatever I decide to give you. If I were Microsoft, I would be petty and say, “You guys spent way too much time dismissing me and calling me inferior, so too bad.” Christopher S. Penn: A lot of that, as we have talked about many times on stage, is that the reason Copilot has fewer capabilities than other systems is specifically because of the regulated environment. It is trivial for Google to foist something on consumers and say, “Now we are going to read all your Gmail.” That does not fly in a regulated industry. Katie Robbert: That understanding is really helpful to the people who are saddled with Microsoft Copilot because we hear complaints about why they cannot use other shiny objects. If you are in a 50,000-person company and you weren’t there when the regulatory standards were decided upon, you are sitting there wondering why you cannot use Gemini to generate ad headlines. Then you do it on the side and get in trouble because there is no clear documentation saying why you have to use Copilot and nothing else. What we are hearing is that employees in companies required to use Microsoft Copilot are using other models on the side. That information is still getting filtered into the organization, and it is a huge governance problem. Christopher S. Penn: Completely. In enterprise AI, there are 20 different components to being ready. I derived this from the US federal government's NIST AI regulations and the EU AI Act, which is the gold standard. Katie Robbert: I want to see if you can get all 20. Christopher S. Penn: One, Strategy and Operating Model; two, Governance Policy and the AI Council; three, Legal, Regulatory, and Compliance. Katie Robbert: Are you reading this off a screen? Christopher S. Penn: I am 100% reading this off the Trust Insights Enterprise AI Landscape Field Handbook. Katie Robbert: Fine, continue. Christopher S. Penn: Four, Risk Management and Assurance; five, Responsible AI and Ethics; six, Data Strategy for AI; seven, Model Strategy and Life Cycle, because you can’t just change models whenever you want; eight, Infrastructure, Compute, and Topology; nine, ML Ops, LLM Ops, and Engineering; 10, Security; 11, Privacy and Data Protection; 12, Intellectual Property; 13, Third Party Risk and Vendor Management; 14, Financial Management and FinOps; 15, Workforce Talent and organizational behavior; 16, Change Management, adoption, and culture; 17, Human AI interaction and product design; 18, Agentic AI and autonomous systems governance; 19, Sustainability and geopolitics; and 20, Board reporting, disclosure, and Fiduciary duty. Katie Robbert: I just heard a whole lot of new job opportunities listed. So, if someone were working in a regulated industry like pharma, these are the 20 things they would need to be aware of before evaluating generative AI. It is interesting that organizational behavior and change management are part of it. You would think the regulations would be more technical versus human, but I am surprised that is part of it. Christopher S. Penn: It makes sense because in order for any AI to succeed in an enterprise with 50,000 or 300,000 employees, you have to prioritize change management. Organizational behavior cannot be an add-on; they have to be baked into what you do from the beginning, otherwise your initiative is going nowhere. Katie Robbert: I don’t disagree, but the typical way that works in a large organization is top-down. They make a decision, and you walk in the next day to find it has automatically updated your computer settings. Now you can no longer use a web browser search; you have to use Microsoft Copilot. That is their version of change management, but it is really just a dictatorship from above. I am interested in future episodes to explore what that should look like in a regulatory environment. Christopher S. Penn: We have known for two years that adoption is the hardest part. Deployment is easy compared to adoption. You can put Copilot on someone's desk, but they may not use it even if you tell them they have to. It comes back to how you get them to see the benefits. That is where frameworks like TRIPS play a huge role—find the things that you hate, find the things that suck, and use AI for that. Get that one thing off your plate. Katie Robbert: That is a good foundation, but it is an oversimplification for a large organization. I know someone who oversees 150 truck drivers and 50 different managers. The layers are so deep. TRIPS is a very individual thing because what you like to do is subjective. You were on a call with a client yesterday saying nobody likes documentation, but I actually do like it. My scoring would look different than yours. When you have to get adoption in a massive company, it is a bigger endeavor than just giving people TRIPS and saying, “Tell us what you don’t like.” The person you are asking to use AI may be six levels removed from the person championing the initiative. Christopher S. Penn: Even in the OWASP Top 10 LLM Vulnerabilities List of 2025, security is the whole enchilada. Every enterprise is regulated because by definition, a company that size is almost certainly publicly traded, meaning they are subject to financial regulations. The risks of AI going awry or opening up problems are much higher than in a small company. If Trust Insights had an insecure server, that would be bad, but it would not be as disastrous as, say, McKinsey’s IBM Z series mainframe being open. Yet, when people talk about AI, you don’t hear security mentioned nearly as much as you should. Katie Robbert: It is true. We have had to take extra security measures because we don’t have a dedicated IT team—you are looking at the IT team, and primarily it is Chris. We don’t have any wiggle room to set things up haphazardly. We have to do it right from the start. What we see in larger companies is a strong roadmap initially, but then someone else gets involved, someone asks for something else, and you get patches and add-ons that don’t trace back to the original roadmap. By the end, you are wondering what the original goal was. The bigger the organization gets, the harder it is to maintain control. It becomes a snowball effect. Christopher S. Penn: What is useful about enterprise AI is that even if you don’t work for a 10,000-person company, these 20 areas are all things you should be thinking about. Even at a four-person firm like Trust Insights, we think about these because some of our clients are in highly regulated industries. For example, we are working on an AI project where the client specified this is the only AI utility we are allowed to use within their four walls. Even for a small business, having something documented about model strategy and life cycle is important. As of the day we are recording this, Google Gemini 3.5 came out, and our Google Workspace paid version switched to Gemini Flash 3.5. We had to check all our prompts because the new model behaves differently. Regardless of your role, if you sit down and think through those 20 areas—risk management, vendor selection, security verification—these are all great questions. Katie Robbert: There is a good starting place for this. You can find our downloads at TrustInsights.ai/StrategicToolkit. There is also a free version at TrustInsights.ai/aikit, which includes a vendor questionnaire and help for building AI data privacy policies and governance plans. We have already templated these things out. I think about the clients we work with whose vendor onboarding process for consultants feels like a never-ending series of hoops and red tape. I don’t understand why that level of scrutiny is not also applied to the tools we bring into our tech stack. We are renting space in those tools and freely giving them our data. Those companies now have our data and will use it for their own benefit. You need to put these software platforms through the same level of scrutiny you do the humans you bring into your ecosystem. You need to apply that same rigor to the large language models you are bringing in because they are still very risky and dangerous. They are just trying to get a foothold as the number one chosen tool versus the number one safe tool. Christopher S. Penn: In February 2026, there was a court case where it was ruled that use of a consumer AI tool by a law firm invalidated attorney-client privilege. The judge ruled that this is no longer privileged information. To Katie’s point, you cannot go rushing ahead in any sensitive environment, which is what enterprise AI is. You have to be doing your homework. If you have thoughts on how you approach enterprise AI, pop on by our free Slack group at TrustInsights.ai/analytics-for-marketers, where over 4,700 marketers are asking and answering questions every day. Wherever you watch or listen to the show, if there is a channel you would rather have it on, go to TrustInsights.ai/tipodcast. Thanks for tuning in; we will 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. Our 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, 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 a CMO or data scientists to augment existing teams. Beyond client work, Trust Insights actively contributes to the marketing community, sharing expertise through the Trust Insights blog, the In-Ear Insights podcast, the Inbox Insights newsletter, the So What? livestream webinars, and keynote speaking. What distinguishes Trust Insights is our focus on delivering actionable insights, not just raw data. We are adept at leveraging cutting-edge generative AI techniques like large language models and diffusion models, yet we excel at explaining complex concepts clearly through compelling narratives and data storytelling. This commitment to clarity and accessibility extends to our 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 are 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.

ZusammenfassungIn dieser Folge räumen Stefan Ponitz und Andreas Pfeifer mit einem weit verbreiteten Missverständnis auf: KI-Kompetenz bedeutet nicht, ein Tool bedienen zu können. Was wirklich zählt, ist die Fähigkeit, KI sinnvoll einzusetzen – und das beginnt lange vor dem ersten Prompt. Stefan erklärt anschaulich, warum KI heute eher als Infrastruktur zu verstehen ist – vergleichbar mit Strom aus der Steckdose – und was das für deine tägliche Arbeit bedeutet. Die beiden diskutieren, welche Kompetenzen im KI-Zeitalter wirklich gefragt sind: strategisches Denken, das Erkennen von Engpässen, Daten- und Entscheidungskompetenz sowie ein klarer ROI-Fokus. Andreas ergänzt eine oft übersehene Dimension: die Ethik- und Markenkompetenz – denn wer seine Authentizität an KI-Content verliert, verliert auch das Vertrauen seiner Zielgruppe. Am LinkedIn-Beispiel zeigen sie konkret, wo der sinnvolle Einsatz aufhört und wo er beginnt. Das Fazit ist klar: Es geht nicht um Mensch oder KI – sondern um Mensch mit KI. Picks - Tipps/Tricks & EmpfehlungenBing Webmaster Tools – AI Performance: Das (noch) unterschätzte Gegenstück zur Google Search Console zeigt in einer Beta-Funktion, wie oft und auf welchen Seiten eine Website vom Microsoft Copilot zitiert wurde – ein erster messbarer Ansatz für die Brand Mention Rate im GEO-Bereich. – https://bing.com/webmasters OpenRouter: Plattform, die Large Language Models verschiedenster Anbieter bündelt – von kommerziellen Modellen bis hin zu kostenlosen Open-Source-Modellen wie den Gemma-Modellen von Google. Ideal, um verschiedene Textmodelle direkt zu vergleichen und per Credit-System flexibel zu nutzen. – https://openrouter.com. Andreas PfeiferLinkedIn: https://www.linkedin.com/in/andreaspfeifer/ Homepage: https://www.die-heldenhelfer.com/ Norbert SchusterLinkedIn: https://www.linkedin.com/in/norbertschuster/ Homepage: https://www.strike2.de/ Stefan PonitzLinkedIn: https://www.linkedin.com/in/stefan-ponitz/ Homepage: https://www.fokus-ki.de

JetBrains is positioning itself as the last major independent AI coding-tool vendor in a market increasingly tied to hyperscalers and foundation model labs. Speaking at Google Cloud Next, JetBrains VP of business developmentMikhail Vink argued that competitors such as Microsoft Copilot, Anysphere Cursor, and Windsurfare all tied to either AI labs or cloud providers. By contrast, JetBrains says its independence allows customers to switch freely between models fromOpenAI,Anthropic, andGoogle Cloudwithout being locked into one ecosystem. That flexibility underpins JetBrains' broader AI strategy. Rather than building its own foundation model, the company is focusing on orchestration and governance through JetBrains Central, announced in March as a management layer for AI agents, usage controls, analytics, and consumption-based billing. Vink said the company's profitability, 16 million users, and 300,000 commercial customers from its long-running IDE business have allowed it to remain venture-free and model-neutral. JetBrains argues that as developers increasingly swap between AI models, neutrality may become more valuable than owning the models themselves. Learn more from The New Stack around the latest in AI coding-tools:  JetBrains ‘Agentic' AI Agent Helps Automate Coding Tasks JetBrains: AI agents are about to repeat the cloud ROI crisis  JetBrains names the debt AI agents leave behind Join our community of newsletter subscribers to stay on top of the news and at the top of your game. 

The most expensive AI mistake of 2026 won't show up on any invoice.

Welcome back to another episode of Stick to Football, brought to you by Arne.As we approach the end of the season, Gary Neville, Roy Keane, Jill Scott and Ian Wright get stuck into all the biggest talking points from the week.After Manchester United's win against Forest, another controversial handball decision once again put VAR firmly in the spotlight.Bruno Fernandes equalled the Premier League assist record, leading to a debate about the importance of assists in the modern game. Roy had some strong opinions on whether that should really have been the main focus.Jamie Carragher joins the show by phone to give his take on Mo Salah's recent comments. Has Slot lost the dressing room?Xabi Alonso is set to take over as Chelsea boss this summer, but are the West London club lucky to land a manager of his calibre?The FA Cup final also took place, with Manchester City beating Chelsea 1-0. The team discuss the timing of the game and how the competition has been prioritised this season. Is the FA Cup losing its magic?Finally, the panel react to the controversial end to the Scottish Premiership season, with Hearts missing out on the title to Celtic. What's your view?This episode is sponsored by Huel.Gary Neville and the Stick to Football team know - when your day's full-on, you need fuel that's fast and actually good for you.Huel is the ultimate meal on the go - high protein, packed with 26 essential vitamins & minerals, and ready in seconds.

Joshua Pantony spent years being told there would never be a viable AI company in his lifetime. He sold his first AI company to Microsoft anyway — work that quietly became part of what is now Microsoft Copilot. Today he runs Boosted AI, an agentic platform serving more than 400 institutional investors who collectively manage around five trillion dollars in assets. He is one of the most credible voices in applied AI finance, and his read on where the industry is heading cuts through a lot of noise.The conversation covers what it actually means to deploy AI in professional investing — not the demo version, but the one that has to earn trust from portfolio managers who have built careers on discretion and judgment. The platform learns each investor's individual style and then acts like a highly motivated junior analyst who never sleeps: constantly surfacing ideas, flagging risks, and improving the workflow without ever taking over the decision. Josh also unpacks why the Bloomberg terminal is facing its BlackBerry moment, why the technology moat is effectively dead, and why the next durable advantage in finance will come from human trust networks that no model can replicate. Ted Schilowitz and Rony Abovitz join host Charlie Fink with sharp frames throughout — Rony's observation that the innovator's dilemma is now a high-frequency problem landed hard.AI XR News You Should Know: The episode opens with two news segments covering AWE 2026 and the Snap Spectacles keynote with Evan Spiegel, the Samsung Galaxy Glasses debut, Gemini rolling out as Android's native agentic AI, the Cerebras sixty-billion-dollar IPO, and what an AI filmmaking company launched by the creators of Instagram Stories tells us about the future of short-form content. The conversation about micro-dramas, why Quibi failed, and what sixty percent of social media users now say about their own feeds leads directly into the trust themes that run through the entire episode.Key Moments:[00:00] – Cold open and welcome. Charlie frames the sixth anniversary of the show.[02:30] – AWE 2026 recap. Snap Spectacles keynote, Evan Spiegel on stage, Samsung Galaxy Glasses previewed.[06:00] – Gemini as Android's native agentic layer. What it means that AI is now replacing the OS interface.[09:15] – Cerebras sixty-billion-dollar IPO. What a big AI IPO year signals for the sector.[12:00] – AI filmmaking and Instagram Stories creators. The new short-form production economy.[14:30] – Why Quibi really failed. No sharing mechanic, wrong bet on clipping, and arriving before the audience was ready.[16:45] – The trust problem in social feeds. YouGov data: sixty percent of users cannot tell what is real. Social becoming a lie stream.[19:00] – Guest intro. Joshua Pantony on being told AI would never be a viable business, and the algorithm he wrote at twenty that saved a million dollars.[24:00] – How Boosted AI works. The digital twin model, the agentic workflow, and why it is not a portfolio manager.[33:00] – The Bloomberg terminal's BlackBerry moment. Thirty thousand dollars a year for what AI will deliver for a fraction.[42:00] – The moat is dead. Why user context — not the technology — is the durable advantage.[51:00] – The innovator's dilemma at high frequency. Rony on why a day in AI is like a decade, and what that means for incumbents.[58:00] – Trust networks as the last edge. The analog handshake as the most valuable currency in a world of synthetic information.This conversation is a clear-eyed look at what it takes to build AI that professionals actually adopt — not a pitch, not a thought experiment. Josh's framing of Wall Street as the greatest collective intelligence humanity has built, and his argument that AI can finally make capital allocation genuinely more efficient, gives the episode an ambition that goes well beyond fintech. The question of what survives automation — and what only humans can do — runs underneath every answer.This episode is sponsored by Zappar and Mattercraft. Mattercraft is Zappar's browser-based augmented reality creation platform — build and deploy WebAR experiences without an app, at mattercraft.io. If you like what you hear, subscribe to The AI XR Podcast on Apple Podcasts or wherever you listen. Watch on YouTube - https://youtu.be/I8hLgBneUasSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Host Brian Matthews is joined by Andy Froese for a recap of BTEX Toronto 2026, where more than 1,300 IT leaders and innovators explored the future of enterprise technology. From AI and cybersecurity to data strategy and resilience, they break down the biggest themes shaping today's IT landscape, highlight standout sessions — including a record-breaking Microsoft Copilot demo — and discuss why collaboration, innovation and adaptability are more important than ever. The conversation also looks at how enterprise tech has evolved over the past decade and what organizations need to do now to stay ahead in an increasingly connected and AI-driven world. Tune in for practical insights, industry trends and the highlights that made BTEX 2026 a must-attend event. To learn more, visit cdw.ca Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In early 2024, six months after the highly anticipated launch of Microsoft Copilot across the 62,000-person Microsoft Customer and Partner Solutions (MCAPS) organization—one of the world's largest sales organizations—the initial excitement had not yet materialized into widespread adoption and transformation. But, two years after initiating their AI transformation journey, the organization's daily active usage of AI tools had reached over 60% and monthly active usage over 98%, significantly altering how sales professionals approached their work. The path to adoption had required Microsoft to evolve its approach based on early deployment insights. Harvard Business School Associate Professors Iav Bojinov and Shunyuan Zhang join Brian Kenny to discuss the case, “Microsoft Customer and Partner Solutions: The Deployment of Copilot and Agents.” They explore the company's journey to successfully mobilizing AI adoption within the sales process, the challenges it faces integrating autonomous sales agents, what it takes to get thousands of employees to fundamentally change how they work.

What happens when AEC firms ban Claude because they don't know where their project data goes?In this episode of KP Unpacked, KP Reddy and Nick unpack the regression happening across construction firms: people disconnecting Claude, companies banning enterprise AI tools, and employees carrying two laptops (work and personal) to keep building with tools their firms won't approve. A 3,000-person AEC firm just banned Claude entirely. The result? Everyone's using personal instances on company time, and the firm loses all institutional knowledge being built in those sessions.But the deeper conversation is about IP anxiety in project-based industries. In AEC, there is no enterprise, the project is the enterprise. If you're a civil engineer on the Tesla factory and Tesla says "don't share our data with LLMs," how do you even comply when Claude's connected to your email? The answer: firms are hitting pause out of fear, not strategy. Meanwhile, KP delivered his first Zero RFI keynote at Building Transformations, and the feedback was split. Some GCs realized Zero's tools could drive risk to zero, which raises an existential question: if owners don't need insurance against risk anymore, why hire a general contractor?Key questions answered:Why did a 3,000-person AEC firm just ban Claude entirely?What happens when employees carry two laptops to keep using AI tools their firms won't approve?How do you protect client IP when Claude's connected to your enterprise email?Why are AEC firms regressing on AI adoption instead of accelerating?What feedback did KP get from his first Zero RFI industry keynote?If Zero can drive project risk to zero, why do owners need general contractors?What are owner-controlled insurance policies (OCIPs), and why don't more people use them?Should firms invest $200/month per employee for enterprise Claude, or keep blocking it?Why do some firms still run on-prem Exchange servers instead of migrating to cloud?How do law firms handle attorney-client privilege when connecting email to LLMs?What's the difference between major muscle tissue (Procore, Autodesk) and connective tissue (Zero's tech stack)?Why is Microsoft Copilot "good enough" for 700K Accenture licenses but not for startups?If you're an AEC firm struggling with data privacy policies while employees build workarounds, wondering whether blocking AI tools protects you or puts you further behind, or trying to understand what happens when risk mitigation becomes automated, this episode will force you to ask whether hitting pause feels safe, or just delays the inevitable.Listen now.

Links & Socials: Product Tranquility: https://producttranquility.com Dan Balcauski on LinkedIn: search “Dan Balcauski” SaaS CEO Pricing Scorecard (free): producttranquility.com Edit your podcasts like a pro:https://get.descript.com/mrzy10nwivuqJoin me as a guest or start your podcast journey:https://www.joinpodmatch.com/nickkuhne Timestamps: 00:00 – Volcano chat & intro 01:30 – Is pricing art or science? 04:45 – Why founders delay pricing decisions 05:30 – ChatGPT's pricing evolution explained 09:30 – Why freemium can actually work for OpenAI 12:30 – Customer Lifetime Value (CLV) reality check 16:45 – Pricing brand-new AI SaaS products 20:00 – You must earn the right to monetise 23:30 – Microsoft Copilot pricing lesson 26:30 – Where to find Dan & the free scorecard Connect with me on:All my linksBecome a guestSign up for RiversideGet Descript #DigitalMarketing #Branding #PersonalBranding #MarketingInsights #SocialMediaStrategy Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Welcome back to Stick to Football, brought to you by ARNE.In this episode, Gary Neville, Paul Scholes, Jill Scott, Roy Keane and Ian Wright sit down to discuss all the biggest talking points in football as we approach the end of a rollercoaster season.Where else to start than with Champions League finalists Arsenal, who have enjoyed a huge week after beating Fulham convincingly, watching title rivals Man City drop points and booking their place in the biggest club final in football. How is Wrighty feeling about Arsenal's chances, and do the team believe they can finally get over the line?Attention then turns to Manchester United and the Michael Carrick debate, as club legends Gary and Scholsey clash over who should be in charge at Old Trafford next season.Super 6 returns ahead of another huge weekend of football, while Gary's Copilot Quiz leaves the team completely stumped. Can you get the answer right?The episode finishes with a look back on the season so far, as the team discuss the biggest overachievers and underachievers in the Premier League this season.If you had to describe your club's season in one word, what would it be? Let us know in the comments and don't forget to like and subscribe so you never miss an episode!00:00- Intro19:59- Scholes Reassesses Arsenal24:30- City Charges Debate43:08- Lewis-Skelly Midfield Impact54:39- Carrick United impact01:04:20- Does Carrick Look Ready01:18:59- Super 6 01:27:47 End of season awardsThis episode is sponsored by Huel.Gary Neville and the Stick to Football team know - when your day's full-on, you need fuel that's fast and actually good for you.Huel is the ultimate meal on the go - high protein, packed with 26 essential vitamins & minerals, and ready in seconds.This episode is sponsored by Microsoft Copilot as part of their partnership with the Premier League. This episode is sponsored by Visit Seattle. Go to https://www.visitseattle.org to plan your World Cup adventureThis episode is sponsored by Sky Bet's Super 6.Visit super6.skysports.com for your chance to win.And don't forget to enter our mini league with code S6-STFTerms and conditions apply: https://super6.skysports.com/termsStick to Football is brought to you by our partners ARNE clothinghttps://arneclo.com

New to Microsoft Copilot? Don't have Copilot yet but interested in learning more? This episode is for you. Recorded at EA Ignite Fall 2025 and produced by the American Society of Administrative Professionals - ASAP. Learn more and submit a listener question at asaporg.com/podcast.

Big Tech is pouring hundreds of billions into AI, but with rising signs of an industry bubble and some real-world fallout, this week's episode digs into who actually wins, who stands to lose, and whether Apple's patient strategy may outsmart the hype. Big Tech firms beat earnings expectations amid AI spending questions RIP the $599 Mac Mini, you were too beautiful for this world Microsoft lifts 2026 AI spend by $25 billion to cover component price rises Microsoft speeds up in Big Tech's data center spend-off Crosswording the Situation Meta's historic loss in court could cost a lot more than $375 million Utah first state to hold websites liable for users who mask their location with VPNs — law goes into effect, designed to prevent bypassing age checks Australia unveils a 2.25% levy on Meta, Google, and TikTok Meta found in breach of EU law for failing to keep children off Facebook and Instagram Meta inks deal for solar power at night, beamed from space Musk v. Altman week 1: Elon Musk says he was duped, warns AI could kill us all, and admits that xAI distills OpenAI's models OpenAI-backed 1X opens California factory targeting 10,000 home humanoid robots in year one Sam Altman asked GPT-5.5 to plan its own launch party. Its requests were 'beautiful' but 'strange.' Sam Altman says Elon Musk can come to his GPT 5.5 party: 'World needs more love' The US Senate unanimously passed a rule barring senators from trading on prediction markets like Kalshi and Polymarket, amid rising concern over insider trading 'We Know You Live Right Here': No Secrets in America's New Surveillance Dragnet California to begin ticketing driverless cars that violate traffic laws China Suspends New Autonomous Driving Permits After Baidu Outage China has decided that firing a worker because an AI can do their job is illegal. No Western country has done the same. Maryland Is First to Ban A.I.-Driven Price Increases in Grocery Stores The most severe Linux threat to surface in years catches the world flat-footed Hackers are actively exploiting a bug in cPanel, used by millions of websites The Hottest Anti-AI Gadget Is a Cyberdeck Jack Dorsey-backed Vine reboot Divine launches to the public GameStop eyes eBay takeover in audacious $46 billion bet on Ryan Cohen's e-commerce vision AI-generated actors and scripts are now ineligible for Oscars Ukraine says it's training drone pilots in 'Grand Theft Auto V' This free website is like Wikipedia meets the CIA Light Phone III Is a Delightfully Minimalist Smartphone Alternative Valve Steam Controller is here, it's a gamepad in search of a console Bluetooth Connected - The Voices Behind the Connection Spirit Airlines shuts down after Trump's war on Iran doubled jet fuel prices Ask.com has shut down, marking the official farewell to the Internet's favorite butler Pioneering geneticist and decoder of the human genome J. Craig Venter dies at age 79 Host: Leo Laporte Guests: Nicholas De Leon, Devindra Hardawar, and Mikah Sargent Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: helixsleep.com/twit canary.tools/twit - use code: TWIT Melissa.com/twit expressvpn.com/twit box.com/AI

Big Tech is pouring hundreds of billions into AI, but with rising signs of an industry bubble and some real-world fallout, this week's episode digs into who actually wins, who stands to lose, and whether Apple's patient strategy may outsmart the hype. Big Tech firms beat earnings expectations amid AI spending questions RIP the $599 Mac Mini, you were too beautiful for this world Microsoft lifts 2026 AI spend by $25 billion to cover component price rises Microsoft speeds up in Big Tech's data center spend-off Crosswording the Situation Meta's historic loss in court could cost a lot more than $375 million Utah first state to hold websites liable for users who mask their location with VPNs — law goes into effect, designed to prevent bypassing age checks Australia unveils a 2.25% levy on Meta, Google, and TikTok Meta found in breach of EU law for failing to keep children off Facebook and Instagram Meta inks deal for solar power at night, beamed from space Musk v. Altman week 1: Elon Musk says he was duped, warns AI could kill us all, and admits that xAI distills OpenAI's models OpenAI-backed 1X opens California factory targeting 10,000 home humanoid robots in year one Sam Altman asked GPT-5.5 to plan its own launch party. Its requests were 'beautiful' but 'strange.' Sam Altman says Elon Musk can come to his GPT 5.5 party: 'World needs more love' The US Senate unanimously passed a rule barring senators from trading on prediction markets like Kalshi and Polymarket, amid rising concern over insider trading 'We Know You Live Right Here': No Secrets in America's New Surveillance Dragnet California to begin ticketing driverless cars that violate traffic laws China Suspends New Autonomous Driving Permits After Baidu Outage China has decided that firing a worker because an AI can do their job is illegal. No Western country has done the same. Maryland Is First to Ban A.I.-Driven Price Increases in Grocery Stores The most severe Linux threat to surface in years catches the world flat-footed Hackers are actively exploiting a bug in cPanel, used by millions of websites The Hottest Anti-AI Gadget Is a Cyberdeck Jack Dorsey-backed Vine reboot Divine launches to the public GameStop eyes eBay takeover in audacious $46 billion bet on Ryan Cohen's e-commerce vision AI-generated actors and scripts are now ineligible for Oscars Ukraine says it's training drone pilots in 'Grand Theft Auto V' This free website is like Wikipedia meets the CIA Light Phone III Is a Delightfully Minimalist Smartphone Alternative Valve Steam Controller is here, it's a gamepad in search of a console Bluetooth Connected - The Voices Behind the Connection Spirit Airlines shuts down after Trump's war on Iran doubled jet fuel prices Ask.com has shut down, marking the official farewell to the Internet's favorite butler Pioneering geneticist and decoder of the human genome J. Craig Venter dies at age 79 Host: Leo Laporte Guests: Nicholas De Leon, Devindra Hardawar, and Mikah Sargent Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: helixsleep.com/twit canary.tools/twit - use code: TWIT Melissa.com/twit expressvpn.com/twit box.com/AI

Big Tech is pouring hundreds of billions into AI, but with rising signs of an industry bubble and some real-world fallout, this week's episode digs into who actually wins, who stands to lose, and whether Apple's patient strategy may outsmart the hype. Big Tech firms beat earnings expectations amid AI spending questions RIP the $599 Mac Mini, you were too beautiful for this world Microsoft lifts 2026 AI spend by $25 billion to cover component price rises Microsoft speeds up in Big Tech's data center spend-off Crosswording the Situation Meta's historic loss in court could cost a lot more than $375 million Utah first state to hold websites liable for users who mask their location with VPNs — law goes into effect, designed to prevent bypassing age checks Australia unveils a 2.25% levy on Meta, Google, and TikTok Meta found in breach of EU law for failing to keep children off Facebook and Instagram Meta inks deal for solar power at night, beamed from space Musk v. Altman week 1: Elon Musk says he was duped, warns AI could kill us all, and admits that xAI distills OpenAI's models OpenAI-backed 1X opens California factory targeting 10,000 home humanoid robots in year one Sam Altman asked GPT-5.5 to plan its own launch party. Its requests were 'beautiful' but 'strange.' Sam Altman says Elon Musk can come to his GPT 5.5 party: 'World needs more love' The US Senate unanimously passed a rule barring senators from trading on prediction markets like Kalshi and Polymarket, amid rising concern over insider trading 'We Know You Live Right Here': No Secrets in America's New Surveillance Dragnet California to begin ticketing driverless cars that violate traffic laws China Suspends New Autonomous Driving Permits After Baidu Outage China has decided that firing a worker because an AI can do their job is illegal. No Western country has done the same. Maryland Is First to Ban A.I.-Driven Price Increases in Grocery Stores The most severe Linux threat to surface in years catches the world flat-footed Hackers are actively exploiting a bug in cPanel, used by millions of websites The Hottest Anti-AI Gadget Is a Cyberdeck Jack Dorsey-backed Vine reboot Divine launches to the public GameStop eyes eBay takeover in audacious $46 billion bet on Ryan Cohen's e-commerce vision AI-generated actors and scripts are now ineligible for Oscars Ukraine says it's training drone pilots in 'Grand Theft Auto V' This free website is like Wikipedia meets the CIA Light Phone III Is a Delightfully Minimalist Smartphone Alternative Valve Steam Controller is here, it's a gamepad in search of a console Bluetooth Connected - The Voices Behind the Connection Spirit Airlines shuts down after Trump's war on Iran doubled jet fuel prices Ask.com has shut down, marking the official farewell to the Internet's favorite butler Pioneering geneticist and decoder of the human genome J. Craig Venter dies at age 79 Host: Leo Laporte Guests: Nicholas De Leon, Devindra Hardawar, and Mikah Sargent Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: helixsleep.com/twit canary.tools/twit - use code: TWIT Melissa.com/twit expressvpn.com/twit box.com/AI

Big Tech is pouring hundreds of billions into AI, but with rising signs of an industry bubble and some real-world fallout, this week's episode digs into who actually wins, who stands to lose, and whether Apple's patient strategy may outsmart the hype. Big Tech firms beat earnings expectations amid AI spending questions RIP the $599 Mac Mini, you were too beautiful for this world Microsoft lifts 2026 AI spend by $25 billion to cover component price rises Microsoft speeds up in Big Tech's data center spend-off Crosswording the Situation Meta's historic loss in court could cost a lot more than $375 million Utah first state to hold websites liable for users who mask their location with VPNs — law goes into effect, designed to prevent bypassing age checks Australia unveils a 2.25% levy on Meta, Google, and TikTok Meta found in breach of EU law for failing to keep children off Facebook and Instagram Meta inks deal for solar power at night, beamed from space Musk v. Altman week 1: Elon Musk says he was duped, warns AI could kill us all, and admits that xAI distills OpenAI's models OpenAI-backed 1X opens California factory targeting 10,000 home humanoid robots in year one Sam Altman asked GPT-5.5 to plan its own launch party. Its requests were 'beautiful' but 'strange.' Sam Altman says Elon Musk can come to his GPT 5.5 party: 'World needs more love' The US Senate unanimously passed a rule barring senators from trading on prediction markets like Kalshi and Polymarket, amid rising concern over insider trading 'We Know You Live Right Here': No Secrets in America's New Surveillance Dragnet California to begin ticketing driverless cars that violate traffic laws China Suspends New Autonomous Driving Permits After Baidu Outage China has decided that firing a worker because an AI can do their job is illegal. No Western country has done the same. Maryland Is First to Ban A.I.-Driven Price Increases in Grocery Stores The most severe Linux threat to surface in years catches the world flat-footed Hackers are actively exploiting a bug in cPanel, used by millions of websites The Hottest Anti-AI Gadget Is a Cyberdeck Jack Dorsey-backed Vine reboot Divine launches to the public GameStop eyes eBay takeover in audacious $46 billion bet on Ryan Cohen's e-commerce vision AI-generated actors and scripts are now ineligible for Oscars Ukraine says it's training drone pilots in 'Grand Theft Auto V' This free website is like Wikipedia meets the CIA Light Phone III Is a Delightfully Minimalist Smartphone Alternative Valve Steam Controller is here, it's a gamepad in search of a console Bluetooth Connected - The Voices Behind the Connection Spirit Airlines shuts down after Trump's war on Iran doubled jet fuel prices Ask.com has shut down, marking the official farewell to the Internet's favorite butler Pioneering geneticist and decoder of the human genome J. Craig Venter dies at age 79 Host: Leo Laporte Guests: Nicholas De Leon, Devindra Hardawar, and Mikah Sargent Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: helixsleep.com/twit canary.tools/twit - use code: TWIT Melissa.com/twit expressvpn.com/twit box.com/AI

Big Tech is pouring hundreds of billions into AI, but with rising signs of an industry bubble and some real-world fallout, this week's episode digs into who actually wins, who stands to lose, and whether Apple's patient strategy may outsmart the hype. Big Tech firms beat earnings expectations amid AI spending questions RIP the $599 Mac Mini, you were too beautiful for this world Microsoft lifts 2026 AI spend by $25 billion to cover component price rises Microsoft speeds up in Big Tech's data center spend-off Crosswording the Situation Meta's historic loss in court could cost a lot more than $375 million Utah first state to hold websites liable for users who mask their location with VPNs — law goes into effect, designed to prevent bypassing age checks Australia unveils a 2.25% levy on Meta, Google, and TikTok Meta found in breach of EU law for failing to keep children off Facebook and Instagram Meta inks deal for solar power at night, beamed from space Musk v. Altman week 1: Elon Musk says he was duped, warns AI could kill us all, and admits that xAI distills OpenAI's models OpenAI-backed 1X opens California factory targeting 10,000 home humanoid robots in year one Sam Altman asked GPT-5.5 to plan its own launch party. Its requests were 'beautiful' but 'strange.' Sam Altman says Elon Musk can come to his GPT 5.5 party: 'World needs more love' The US Senate unanimously passed a rule barring senators from trading on prediction markets like Kalshi and Polymarket, amid rising concern over insider trading 'We Know You Live Right Here': No Secrets in America's New Surveillance Dragnet California to begin ticketing driverless cars that violate traffic laws China Suspends New Autonomous Driving Permits After Baidu Outage China has decided that firing a worker because an AI can do their job is illegal. No Western country has done the same. Maryland Is First to Ban A.I.-Driven Price Increases in Grocery Stores The most severe Linux threat to surface in years catches the world flat-footed Hackers are actively exploiting a bug in cPanel, used by millions of websites The Hottest Anti-AI Gadget Is a Cyberdeck Jack Dorsey-backed Vine reboot Divine launches to the public GameStop eyes eBay takeover in audacious $46 billion bet on Ryan Cohen's e-commerce vision AI-generated actors and scripts are now ineligible for Oscars Ukraine says it's training drone pilots in 'Grand Theft Auto V' This free website is like Wikipedia meets the CIA Light Phone III Is a Delightfully Minimalist Smartphone Alternative Valve Steam Controller is here, it's a gamepad in search of a console Bluetooth Connected - The Voices Behind the Connection Spirit Airlines shuts down after Trump's war on Iran doubled jet fuel prices Ask.com has shut down, marking the official farewell to the Internet's favorite butler Pioneering geneticist and decoder of the human genome J. Craig Venter dies at age 79 Host: Leo Laporte Guests: Nicholas De Leon, Devindra Hardawar, and Mikah Sargent Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: helixsleep.com/twit canary.tools/twit - use code: TWIT Melissa.com/twit expressvpn.com/twit box.com/AI

"Not a creative"?

In this episode, Jaeden and Conor explore the significant upgrades to Microsoft Copilot, particularly the introduction of agent mode as the new default. They discuss how these improvements enhance user experience in popular applications like Word, Excel, and PowerPoint, marking a turning point for Microsoft in the evolving landscape of AI tools.Watch on YouTube: https://youtu.be/QtQhR1kmfnwGet the top 80+ AI Models for $8.99 at AI Box: https://aibox.aiConor's AI Course: https://www.ai-mindset.ai/coursesJaeden's AI Business Community: https://www.skool.com/aihustleChapters00:00 Microsoft's Copilot Evolution05:04 The Future of AI in Software10:59 Closing Thoughts and Community Engagement Read more on AI Chat Daily: Microsoft Makes Agent Mode the Default in Word, Excel and PowerPoint See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Artificial Intelligence is everywhere—but where does it actually fit in vocational rehabilitation? In this episode, Carol Pankow sits down with Dr. Robert Froehlich to cut through the noise and get real about AI in VR practice. This isn't hype—and it's not fear. It's practical, grounded guidance.

Trust is the make-or-break issue for GenAI adoption in law firms. In part two, this session examines how Microsoft Copilot actually accesses firm data, why attorney skepticism is both expected and healthy, and how permissions, governance, and data hygiene act as critical guardrails. Part two of three.   Moderator: Aaron Barbee, Learning & Development Manager, Thompson Coburn Speaker: Jonathan Woolley, Cloud Engineer, Husch Blackwell

Industrial AI is moving past the chatbot phase. From the Hannover Messe show floor to system integration workflows, here's what end users actually want now.Vlad just returned from his first Hannover Messe, the largest industrial automation and manufacturing trade show in Europe. The takeaway that defined the week was a shift in how end users open conversations. A year ago, every booth visit started with the question, do you have AI? This year every vendor has some flavor of AI, so the question has flipped back to the one that actually matters. How does your product solve a specific problem in my plant? Vlad and Dave unpack what that shift means for vendors, integrators, and the end users buying these tools.On the end user side, the reality is mixed. Most knowledge workers in manufacturing have access to Microsoft Copilot and use it for better emails and meeting notes. Everything else is still mostly experimentation. While auditing PLC and SCADA logic on a recent project, Vlad expected the customer to insist on a hardened on premise model with a Dell IPC and dedicated GPUs. Instead, they shrugged and said put it in ChatGPT, the boilerplate logic has no real IP. Data governance on the carpeted side of the business is mature. On the OT side, it barely exists, and that gap matters as more plant floor data flows toward AI tools.For systems integrators, AI is compressing timelines on slow, repetitive work. Tag validation, electrical drawing automation, screenshot to bill of materials extraction, and functional spec to PLC starting points are all in active development. The tradeoff is that some of these tools save four weeks of manual auditing but require a couple of weeks to set up correctly, and a probabilistic LLM still demands human signoff on safety and control logic. Senior engineers benefit most because they already know what good output looks like. The bigger industry question is what happens to the junior to senior pipeline if entry level work disappears.Hardware tells a different story. Moore's Law, first proposed in 1965, held for about 60 years before chip density at three nanometers and heat budgets broke the cost curve. GPUs on the consumer side have been roughly stagnant since the Nvidia 30 series. On the industrial side, demand for radical hardware change has been low. PLCs, switches, IO modules, and field protocols look much like they did twenty years ago. IO Link, the protocol that should be a baseline for any Industry 4.0 deployment, was founded in 2006. Image recognition has unlocked pick and place applications that used to be too expensive to engineer the traditional way.The workforce thread runs underneath all of this. UPS recently negotiated voluntary buyouts of roughly one hundred and fifty thousand dollars per driver to remove tens of thousands of positions, while large technology firms continue to lay off staff and reinvest in data centers.Timestamps0:00 Introduction1:50 Hannover Messe scale, halls, and country delegations7:20 Booth diversity from startups to hyperscalers and the German military12:20 Why end users have stopped asking, do you have AI19:00 The 1% on the bleeding edge versus the rest of industry25:50 End users sending boilerplate PLC code through ChatGPT29:20 Data governance on the OT side32:50 AI inside systems integration workflows39:50 Workforce shifts: UPS buyouts, FAANG layoffs, and reskilling47:20 Hardware innovation, Moore's Law, and the industrial side59:50 SCADA, MES, ERP, and AI generated dashboards1:03:30 Upcoming shows: Automate 2026, ICC, and moreReferencesHannover Messe: https://www.hannover-messe.deAutomate 2026: https://www.automateshow.comIgnition Community Conference: https://icc.inductiveautomation.comRockwell Automation Fair: https://www.rockwellautomation.com/automationfairAbout Your HostsVladimir Romanov is a co-host of The Manufacturing Hub Podcast and the founder of Joltek, an independent manufacturing and industrial automation consulting firm specializing in modernization strategy, digital transformation, and workforce development. Joltek works with manufacturers and investors to de-risk modernization and build the internal capability to sustain results.Connect with Vlad: https://www.linkedin.com/in/vladimirromanov/Want to go deeper? Vlad and the team at Joltek have covered related topics here:Edge Computing, AI, and the Value of Manufacturing Data: https://www.joltek.com/blog/edge-computing-ai-value-manufacturing-dataSystems Integrators in Manufacturing: https://www.joltek.com/blog/system-integratorsDave Griffith is a co-host of The Manufacturing Hub Podcast and founder of Capelin Solutions, an industrial automation firm helping manufacturers adopt smart manufacturing technology. He brings 15 years of experience in industrial automation and digital transformation.Connect with Dave: https://www.linkedin.com/in/davegriffith23/

We are officially entering the "Multi-AI Era." Much like the multi-cloud times, organizations are no longer just using a single AI tool like Microsoft Copilot, they are building custom, agentic workflows using diverse third-party models and MCP servers . In this episode, Ashish sits down with Shawn Hays from Varonis to discuss why the security market has over-pivoted on AISPM (AI Security Posture Management) . Shawn spoke about how having visibility and an inventory of your AI models is a great start, but it fails to secure the enterprise if you lack the guardrails to actually stop an agent from going off the rails and exfiltrating data . Shawn breaks down the components of a robust AI security platform (like Varonis Atlas) and explains why data security is inseparable from AI security. He spoke about why AI agents will blindly "read whatever is on the teleprompter," meaning your AI is only as secure as the data access and identity controls surrounding it . Tune in to learn how to apply Zero Trust across the entire AI chain from the prompter to the cloud infrastructure Guest Socials -⁠⁠ Shawn's Linkedin Podcast Twitter - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@CloudSecPod⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you want to watch videos of this LIVE STREAMED episode and past episodes - Check out our other Cloud Security Social Channels:-⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security Podcast- Youtube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠- ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security Newsletter ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you are interested in AI Security, you can check out our sister podcast -⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ AI Security Podcast⁠Questions asked:(00:00) Introduction(02:50) Shawn's Background: Microsoft, CMMC, and Varonis (03:50) The Biggest AI Security Challenges (Copilot to Agentic AI) (05:50) Third-Party AI Risk (Jira and Salesforce Agents) (08:40) The Connector Ecosystem Danger (Copilot + Salesforce) (11:50) 8 Distinct Areas of an AI Security Platform (Varonis Atlas) (14:00) Entering the "Multi-AI Era" (Analogies to Multi-Cloud) (16:00) The AI Bill of Materials (Athena AI & Grammarly) (20:50) Why Data Security and AI Security are Intertwined (22:00) Applying Zero Trust to the Entire AI Chain (24:50) The Role of Identity and ITDR in AI Systems (27:00) HIPAA, OCR, and Regulating AI Data Access (31:30) Creating a Governance Plan for Microsoft Copilot (33:50) Securing Pro-Code AI Systems (AWS Bedrock & MCP Servers) (38:30) Why the Security Market is Over-Pivoting on AISPM (44:10) The "Ron Burgundy" Analogy for AI Agents (45:50) Fun Questions: Crocodile & Caramel Tasting (47:20) The Ed Sheeran & Yelawolf Mixtape Connection (48:50) Hobbies & Pride: DJing Weddings and Playing Ice Hockey in Alabama (51:50) Favorite Food: Alabama White Sauce BBQ & Milo's BurgersResources spoken about during the episode:Varonis Atlas

As Anthropic, OpenAI, and industry giants race to outpace each other, data centers and supply chains are straining, while job markets and open-source communities feel the heat. Listen in for a roundtable on whether AI is fueling innovation, burnout, or just the next tech bubble. Anthropic releases Claude Opus 4.7, concedes it trails unreleased Mythos Nobody knows how many CVEs Anthropic's Project Glasswing has actually found You're About to See a Lot of Critical Software Updates. Don't Ignore Them. Cal.com Is Going Closed Source Because of AI AI anxiety is turning volatile Humanoid robots race past humans in Beijing half-marathon, showing rapid advances Snap Is Laying Off 16% of Full-Time Staff as It Embraces A.I. Musk v. Altman Is a Battle for OpenAI's Soul The Little Probe That Could: Why Voyager 1 Matters, and Why NASA Just Switched Part of It Off Sam Altman's project World looks to scale its human verification empire. First stop: Tinder. Meta Must Face Youth Addiction Lawsuit by Massachusetts, Court Rules Section 230 Is Dying By A Thousand Workarounds, And Massachusetts Just Added Another One Live Nation and Ticketmaster lose monopoly case Anna's Archive told to pay Spotify and record labels $322 million over unprecedented music scraping Roblox agrees to a $12 million settlement with Nevada Judge sides with creators of banned ICE trackers who allege DHS and DOJ violated their First Amendment rights What's the point of the App Store, if it can't protect users? TotalRecall Reloaded tool finds a side entrance to Windows 11's Recall database Google, Microsoft, Meta All Tracking You Even When You Opt Out, According to an Independent Audit It Is Time to Ban the Sale of Precise Geolocation Google Broke Its Promise to Me. Now ICE Has My Data. | Electronic Frontier Foundation Billionaire Netflix cofounder Reed Hastings is leaving the company Venture capitalist Ron Conway says he is starting treatment for a 'rare' cancer Host: Leo Laporte Guests: Louis Maresca, Wesley Faulkner, and Glenn Fleishman Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: NetSuite.com/TWIT zscaler.com/security expressvpn.com/twit shopify.com/twit cachefly.com/twit

As Anthropic, OpenAI, and industry giants race to outpace each other, data centers and supply chains are straining, while job markets and open-source communities feel the heat. Listen in for a roundtable on whether AI is fueling innovation, burnout, or just the next tech bubble. Anthropic releases Claude Opus 4.7, concedes it trails unreleased Mythos Nobody knows how many CVEs Anthropic's Project Glasswing has actually found You're About to See a Lot of Critical Software Updates. Don't Ignore Them. Cal.com Is Going Closed Source Because of AI AI anxiety is turning volatile Humanoid robots race past humans in Beijing half-marathon, showing rapid advances Snap Is Laying Off 16% of Full-Time Staff as It Embraces A.I. Musk v. Altman Is a Battle for OpenAI's Soul The Little Probe That Could: Why Voyager 1 Matters, and Why NASA Just Switched Part of It Off Sam Altman's project World looks to scale its human verification empire. First stop: Tinder. Meta Must Face Youth Addiction Lawsuit by Massachusetts, Court Rules Section 230 Is Dying By A Thousand Workarounds, And Massachusetts Just Added Another One Live Nation and Ticketmaster lose monopoly case Anna's Archive told to pay Spotify and record labels $322 million over unprecedented music scraping Roblox agrees to a $12 million settlement with Nevada Judge sides with creators of banned ICE trackers who allege DHS and DOJ violated their First Amendment rights What's the point of the App Store, if it can't protect users? TotalRecall Reloaded tool finds a side entrance to Windows 11's Recall database Google, Microsoft, Meta All Tracking You Even When You Opt Out, According to an Independent Audit It Is Time to Ban the Sale of Precise Geolocation Google Broke Its Promise to Me. Now ICE Has My Data. | Electronic Frontier Foundation Billionaire Netflix cofounder Reed Hastings is leaving the company Venture capitalist Ron Conway says he is starting treatment for a 'rare' cancer Host: Leo Laporte Guests: Louis Maresca, Wesley Faulkner, and Glenn Fleishman Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: NetSuite.com/TWIT zscaler.com/security expressvpn.com/twit shopify.com/twit cachefly.com/twit

As Anthropic, OpenAI, and industry giants race to outpace each other, data centers and supply chains are straining, while job markets and open-source communities feel the heat. Listen in for a roundtable on whether AI is fueling innovation, burnout, or just the next tech bubble. Anthropic releases Claude Opus 4.7, concedes it trails unreleased Mythos Nobody knows how many CVEs Anthropic's Project Glasswing has actually found You're About to See a Lot of Critical Software Updates. Don't Ignore Them. Cal.com Is Going Closed Source Because of AI AI anxiety is turning volatile Humanoid robots race past humans in Beijing half-marathon, showing rapid advances Snap Is Laying Off 16% of Full-Time Staff as It Embraces A.I. Musk v. Altman Is a Battle for OpenAI's Soul The Little Probe That Could: Why Voyager 1 Matters, and Why NASA Just Switched Part of It Off Sam Altman's project World looks to scale its human verification empire. First stop: Tinder. Meta Must Face Youth Addiction Lawsuit by Massachusetts, Court Rules Section 230 Is Dying By A Thousand Workarounds, And Massachusetts Just Added Another One Live Nation and Ticketmaster lose monopoly case Anna's Archive told to pay Spotify and record labels $322 million over unprecedented music scraping Roblox agrees to a $12 million settlement with Nevada Judge sides with creators of banned ICE trackers who allege DHS and DOJ violated their First Amendment rights What's the point of the App Store, if it can't protect users? TotalRecall Reloaded tool finds a side entrance to Windows 11's Recall database Google, Microsoft, Meta All Tracking You Even When You Opt Out, According to an Independent Audit It Is Time to Ban the Sale of Precise Geolocation Google Broke Its Promise to Me. Now ICE Has My Data. | Electronic Frontier Foundation Billionaire Netflix cofounder Reed Hastings is leaving the company Venture capitalist Ron Conway says he is starting treatment for a 'rare' cancer Host: Leo Laporte Guests: Louis Maresca, Wesley Faulkner, and Glenn Fleishman Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: NetSuite.com/TWIT zscaler.com/security expressvpn.com/twit shopify.com/twit cachefly.com/twit

Should we tax AI robots and only work 4 days?