Podcasts about ai strategy

Leidy Klotz has spent years studying a simple but overlooked phenomenon: when we try to improve something, our first instinct is to add rather than remove. He shares the Lego bridge experiment that sparked his research and explains how this additive bias scales from small design decisions to entire organizations. Over time, companies accumulate reporting lines, meetings, software, and policies without questioning what no longer serves them. Henrik and Jeremy explore how AI tools intensify this pattern. When generating ideas, launching projects, writing code, or producing content becomes effortless, the temptation to add grows stronger. The cost of producing information drops, but the cost of consuming it rises. Without guardrails, organizations risk what Leidy calls “organizational indigestion.” The discussion moves from insight to implementation. Leidy outlines practical ways to counteract additive bias, including stop-doing lists, default kill dates on projects, and designing environments that make subtraction visible and acceptable. In a world of accelerating AI output, leaders must intentionally decide what to remove, what to protect, and what truly matters. Key Takeaways:  We default to adding, not subtracting When faced with a problem, our instinct is to introduce something new. Subtraction rarely occurs to us, even when removing something would improve clarity and performance. Generative AI amplifies additive bias AI makes producing content, code, and ideas easier than ever. Without constraints, this frictionless creation can accelerate complexity instead of progress. More organizations die from indigestion than starvation Over time, companies accumulate tools, processes, and policies that quietly slow them down. The real risk is often not too few ideas, but too many unexamined additions. Architecture beats willpower Rather than relying on discipline alone, leaders can design systems that encourage subtraction. Stop-doing lists and default expiration dates make removal expected instead of exceptional. Protect what matters before adding more Before introducing new tools, workflows, or AI systems, leaders must define what is already working and worth protecting. Subtraction requires clarity about what should stay, not just what should go. Subtract: amazon/Subtract-Untapped-Science-Leidy-Klotz In a Good Place: amazon/Good-Place-Spaces-Where-Thrive/ Leidy's Speaking: https://leidyklotz.com/ Clip from Bear: Subtract - this is how you do better 00:00 Intro: Our Instinct to Add00:28 Meet Leidy Klotz01:15 The Subtract Idea02:56 Organizations Get Bloated03:49 Scandinavian Design Mindset04:32 New Book: In a Good Place05:59 AI Abundance and Indigestion08:12 Curate Context, Not More11:38 Cues and Stop-Doing Lists15:00 Default Debt and Kill Dates17:10 Odysseus Contracts and Biases21:28 Reengage the Physical World29:17 Bike Shedding and Priorities36:10 Making Is Thinking49:16 The Debrief

Macquarie has a neutral rating on CrowdStrike (CRWD) heading into earnings, though Steve Koenig says his firm sees strength in the cybersecurity firms. He believes AI risks to businesses offer long-term cash flow even though CrowdStrike and similar stocks got hit by the "SaaS-quatch." Tom White offers an example options trade for the cybersecurity firm. ======== Schwab Network ========Empowering every investor and trader, every market day.Options involve risks and are not suitable for all investors. Before trading, read the Options Disclosure Document. http://bit.ly/2v9tH6DSubscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

Irish small and medium-sized enterprises (SMEs) overwhelmingly believe artificial intelligence (AI) can benefit their business, yet most are still struggling to translate that opportunity into action, according to new research released today. The study, commissioned by Google in partnership with Amárach Research and based on a survey of 400 Irish SMEs, shows that while 80% believe AI can positively impact their business and 65% expect it to drive growth in 2026, adoption remains limited. The findings indicate a significant confidence and capability gap. The main barriers preventing greater AI adoption include fear of making mistakes (30%), lack of skills (27%) and cost (24%), with many business leaders unsure of where to start (16%). More than half (57%) believe they are behind competitors in adopting AI, while 50% are concerned their business could be left behind without it. The research also highlights that micro-businesses, longer-established firms and non-exporters are most at risk of falling behind, underscoring the need for targeted, practical support that meets SMEs' varying needs. The research is being launched today at an event hosted by Google Ireland at The Foundry as part of Local Enterprise Week. In partnership with the Local Enterprise Office (LEO) network, Google also announced the launch of AI Works for Ireland, a series of complementary, face-to-face regional events aimed at equipping SMEs with practical AI skills for business. The series begins today in Dublin, followed by events in Galway (April 30th), Cork (14th May) and Monaghan (28th May). Each event will feature insights from Google AI experts on how SMEs can use AI to drive growth, creativity and efficiency, alongside dedicated AI workshops offering support for founders and business leaders. As part of the initiative, Google and the Local Enterprise Office network are providing up to 10,000 AI scholarships to workers across Ireland. Delivered through Coursera, the Google AI Professional Certificate offers practical training across more than 20 real-world AI business use cases, from data analysis and content creation to customer communications. This research and initiative follows the release of the government's National Digital and AI strategy, which includes key pillars to empower people, workers and businesses to develop cutting-edge skills and foster digital and AI literacy, alongside growing a digitally innovative and competitive enterprise sector within Ireland. Minister of State for Trade Promotion, Artificial Intelligence and Digital Transformation, Niamh Smyth, TD, said: "AI has the potential to boost productivity and enhance competitiveness across Ireland's SME Sector. As we advance the ambitions of the recently published National Digital and AI Strategy, a key priority of my department is to fast?track enterprise adoption digital and AI technologies. Initiatives like this one, delivered in partnership with Google and the Local Enterprise Offices, are vital in ensuring that businesses of all sizes, in every region, have the skills and confidence they need to adopt AI at pace." Vanessa Hartley, Head of Google Ireland, said: "Irish SMEs are clear about the opportunity AI presents, but this research shows many are being held back by uncertainty rather than ambition. AI Works for Ireland is about closing that gap – providing practical, trusted support that helps businesses move from awareness to action, and from experimentation to real impact. At Google, we are committed to helping people and businesses across Ireland build the skills they need to succeed in an AI-powered economy. Through initiatives like this, we want to ensure SMEs have access to high-quality training, tools and expertise that empower them to grow, innovate and compete with confidence." Kieran Comerford, Chair of the Local Enterprise Offices, said: "Local Enterprise Week is all about helping businesses and entrepreneurs improve and showing them the resources available to them....

Today on the Driven by Data Dilemmas Show, host Catherine Dowden-King is joined by Ines Ashton, Digital & AI Strategy Director (CIO), The Compleat Food Group. Together, they talk about how to avoid falling for FOMO!Ines walks through her experience of staying laser-focused on her strategy, her role, and her priorities, avoiding falling for FOMO. They also discuss how to avoid falling for the "shiny object syndrome" in an AI-Powered world.Remember, you can send your own dilemmas to community@orbitiongroup.com, and Catherine will gladly read them to our expert guests to answer and provide their own insight on.Driven by Data Dilemmas is the spin-off show from the Driven by Data Podcast, released every Thursday. Catherine Dowden-King is joined by some of our best-loved senior leaders in the data, analytics and AI space to ask them to share their experiences, advice and thoughts on data dilemmas.

Listen to the FULL WEEKLY RUNDOWN at https://podcasts.apple.com/us/podcast/full-rundown-the-week-of-the-great-realignment/id1684415169?i=1000752320752

Listen to Full Episode at: https://podcasts.apple.com/us/podcast/ai-daily-news-rundown-the-anthropic-blacklist-openais/id1684415169?i=1000752107128India spent decades becoming the world's back office. Now, AI is starting to shrink that office into a single server rack. I'm Etienne Noumen, and this is your AI Unraveled Reddit Pulse.A viral discussion is erupting in the r/ArtificialInteligence community centered on a sobering report from the New York Times. The reality is stark: AI is no longer 'promising' to automate white-collar work—it is actively doing it. For a country like India, which built its tech powerhouse status on BPO, customer service, and entry-level coding, this isn't just a market shift; it's being described as a 'historical critical transition.'The Reddit community is calling this a 'Tsunami' that is hitting everywhere at once. One of the top-rated comments points out the 'Demographic Disaster' potential: India has a massive, young population that relies on these 'ladder' jobs to enter the middle class. If the bottom rungs of that ladder—data entry, basic debugging, and Level 1 support—are replaced by agents like Claude or Perplexity, the entire economic engine of the subcontinent faces a stall.Other users are noting that the 'Cheap Labor' advantage has officially evaporated. When an AI agent costs pennies an hour and never sleeps, even the most efficient human workforce cannot compete on price. The race is now on: can India upskill 5 million tech workers before the 'Back Office' disappears entirely?This episode is made possible by our sponsors:

Today our guest is Sean Beaverson, Director of Technology at Orono Public Schools. We talk about how schools can use AI in education to reduce teacher workload and reclaim instructional time. Sean shares a practical approach to lowering cognitive load by offloading administrative tasks to AI, allowing educators to repurpose time toward relationships, collaboration, and deeper learning. In this conversation, Sean offers clear reminders for leaders working to reduce workload and restore professional time: AI can reduce teacher workload by offloading low-cognitive-load administrative tasks. Reclaimed time must be intentionally repurposed, or it will quickly disappear. AI works best as a thought partner that enhances professional judgment, not replaces it. Reducing cognitive load allows teachers to focus on relationships and high-impact instruction. The goal of AI in education is not efficiency alone, it is strengthening human connection. Learn More About CharacterStrong:  Access FREE MTSS Curriculum Samples Request a Quote Today! Learn more about CharacterStrong Implementation Support Visit the CharacterStrong Website   About Sean Beaverson:  Sean Beaverson is the Technology Director for Orono Public Schools, where he leads the district's work to make technology supportive, reliable, and centered on the needs of students and staff. With 25 years in education, he focuses on clear communication, thoughtful innovation, and helping teachers and students thrive in a rapidly changing digital world.

Facts: AI started mainly as a marketing tool.

The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews:   Microsoft's Bundling Regulatory Issues, Q&A (Darian Chwialkowski, Third Stage Consulting) Who Are the Best System Integrators In the Market (Guest, Third Stage Consulting) SAP RISE We also cover a number of other relevant topics related to digital and business transformation throughout the show.  

AI capability has never been higher, yet most pharma AI programmes are still failing to create measurable business impact. In this solo episode, Dr Andree Bates breaks down why many pharma and biotech AI strategies are “broken before they even begin” and what a real AI strategic blueprint needs to include if you want adoption, scale, and outcomes, not just impressive pilots.Dr Andree explains the core paradox: AI can now synthesise literature at speed, accelerate discovery, and outperform human experts in specific tasks, but the business results are often disappointing because the failure is rarely technical. It is strategic. She describes the “technical obsession trap”, where organisations spend months optimising models and benchmarking competitors while adoption remains low and teams are not operationally ready to act on the outputs.She outlines three common failure modes:Innovation Theatre, where disconnected pilots never compound into enterprise valueCompetitor benchmarking, where companies copy use cases that do not fit their contextTechnology first strategy, where tools are bought before priorities are definedFrom there, she maps what a strong pharma AI blueprint must cover: grounding in business objectives, end to end deployment architecture (data, governance, capability, change), leadership and culture, rigorous financial modelling tied to revenue and ROI, and alignment across functions including commercial, medical, regulatory, R&D, market access, insights, and tech teams.Dr Andree closes with a clear challenge for leadership: competitive advantage will come to organisations that build the most intelligent operating model around AI, not those with the biggest budgets. She also offers a 45 minute AI strategic diagnostic for pharma and biotech leaders who want an honest read on what to fix before investing further.Topics CoveredWhy pharma AI impact often disappoints despite powerful toolsThe “technical obsession trap” and the AI strategy blind spotInnovation Theatre, competitor benchmarking, and technology first mistakesWhat a pharma AI strategic blueprint must includeGovernance as a foundation for scale and regulatory trustLeadership, culture, and adoption as the real differentiatorsFinancial modelling and prioritisation based on ROI and revenue impactOrganisational alignment across the full pharma value chainChoosing the right advisory partner and avoiding generic frameworksWhy strategy must come before technology to build durable advantageAI For Pharma Growth is the podcast from pioneering Pharma Artificial Intelligence entrepreneur Dr Andree Bates, created to help pharma, biotech and healthcare organisations understand how AI-based technologies can save time, grow brands, and improve company results.This show blends deep sector experience with practical conversations that demystify AI for biopharma leaders, from start-up biotech right through to Big Pharma. Each episode features experts building AI-powered tools that are driving real-world results across discovery, R&D, clinical trials, medical affairs, market access, regulatory, insights, sales, marketing, and more.Dr. Andree Bates LinkedIn | Facebook | X

Jeff Lunsford, CEO of Tealium, says that as enterprises rush to deploy agentic AI, batch processing and siloed systems won't cut it: AI strategy lives or dies on the quality — and speed — of your data. In this episode, we explore what a true real-time data layer looks like, why most companies are underutilizing their marketing tech, and how brands must prepare for a world where AI agents — not humans — are initiating customer interactions. From identity tokens and authentication to agent-to-agent negotiation, we look at what's coming next and what that means for marketers. For Additional Reading:  Tealium achieves AWS Generative AI Competency, advancing enterprise AI at scale: https://www.globenewswire.com/news-release/2026/02/17/3239448/0/en/Tealium-achieves-AWS-Generative-AI-Competency-advancing-enterprise-AI-at-scale.html Tealium Adds AI Features for Real-Time Customer Engagement: https://www.cmswire.com/customer-data-platforms/tealium-adds-ai-features-for-real-time-customer-engagement/ The secret to happy customers is… your data layer: https://martech.org/the-secret-to-happy-customers-is-your-data-layer/ More about Jeff: https://www.linkedin.com/in/jefflunsford/   Listen on your favorite podcast app: https://pod.link/1715735755

Watch the entire episode on YouTube here. Everyone on YouTube is telling you to use AI to slap together a digital product and start making money overnight. I'm going to be honest with you — most of those people are selling you a fantasy. I'm not saying AI isn't powerful. It is. But the way most people are using it, they're setting themselves up to fail. And I can prove it because I've watched it happen hundreds of times. In this post, I'll show you the simple AI strategy that took one creator from a $27 product to $11,000/month — and break down exactly how you can do the same. Test Fast With MiloTree You're not just creating any AI product — you're creating a specific product for a specific person that hits a specific trigger. And you can test this incredibly fast. In my MiloTree dashboard, I click "digital product," give it a name, a price, and a short description. With the press of a button, MiloTree generates an AI sales page for me. I can tweak a few things and I'm done. Live sales page, ready to share. 15 minutes, start to finish. No website, no complicated tech. If it sells, great — build on it. If it doesn't, no problem. Tweak it or try another idea. The speed of testing is everything when you're starting out.

Key Takeaways Session overview: Newell will be leading a session as part of the M365 & Work IQ masterclass, "Executive's Guide to Rolling Out M365 Copilot." The session will focus on how organizations can move beyond AI experimentation to build a secure and productive AI strategy. "AI is incredibly powerful," he explains, "But you need to just make sure that you're set up to take advantage of it, and then you build some organizational capacity to do it." AI executive briefings: For customers and other leaders, Newell shares executive-level AI education and practical guidance, grounding other leaders in what AI, LLMs, and Microsoft's tools can do for productivity. He notes that some of these learnings will be a part of his session at the event. Final thoughts: In closing, Newell adds that he's looking forward to his session and hopes attendees bring questions focused on practical guidance. Visit Cloud Wars for more.

Your board has an AI strategy. It's probably rubbish. Nathan Bell has spent 25 years delivering transformation programmes inside the world's biggest telcos. Now a Partner at Kearney, he's the person companies call when the proof-of-concept graveyard keeps growing and the CFO starts asking uncomfortable questions. In this episode: why most AI programmes are expensive theatre, how to actually get ROI, and why your change management track record matters more than your technology choices. We also get into agentic AI gone wrong — a recruiting agent that only wanted to hire golfers, a CEO town hall that triggered a queue at HR, and an AI agent that doxxed a developer and got its creator hired by Sam Altman. Make of that what you will. Plus rapid-fire telco takes and a deeply scientific Australia vs Netherlands lifestyle quiz that ended in a draw. Time Stamps: 00:00 — AI Strategy Hype vs Reality: Why Most Exec Talk Is Rubbish 00:37 — Is This AI Wave Different from Dot-Com, Cloud, and 5G? 02:19 — From Boardroom Buzz to Production: The Proof-of-Concept Trap 03:44 — How to Actually Get ROI: Start Small, Make Big Bets, Fund Like a VC 06:47 — Low-Hanging Fruit: Internal Knowledge, Customer Service, and Procurement 09:16 — Metrics That Matter: MVP Milestones Over 2-Year "Goals"  11:21 — Making the VC Model Real: Phased Rollout and Cultural Change 13:26 — Market Whiplash: When AI Adoption Threatens Your Revenue Model 14:51 — AI as a Business Capability, Not a Shopping List of Tools 16:10 — Agentic AI and the Human Factor: Bias, Process Drift, and Set-and-Forget Myths 21:10 — The People Side of Agents: Fear, Trust, and How Leaders Miscommunicate 24:41 — Why AI Transformations Fail: Change Management and HR as the Quarterback 26:44 — When Agents Go Rogue: The Python Library Incident and What It Signals 28:28 — Who's Responsible for AI Agents? Why Human-in-the-Loop Still Matters 29:19 — When AI Monitors AI: The Two-Agent Marketing Campaign Story 31:03 — Legacy, Culture and Operating Model: Why Big Firms Struggle to Adopt AI 33:49 — Ethics, Bias and Copyright: The Legal Minefield of Generative AI 35:40 — Who's Winning with AI and Why: Consumer Goods, Banks and Telcos 38:01 — Regulation Reality Check: EU AI Act, Vendor Audits and the Air Canada Case 39:37 — Where Telcos Should Start with AI: Customer Service, Vendors and Billing 41:41 — Transformation Lessons from Telcos: People, Forgive the Past, Progress Over Perfection 44:39 — AI Hype vs Jobs Reality: Using AI to Augment People, Not Just Cut Headcount 46:51 — What Still Motivates Transformation Leaders + Rapid-Fire Telco Takes  51:49 — Finale: Australia vs Netherlands Quickfire (and a Perfect Tie)

In this episode, Jonathan Ma, CFO of Sutter Health, discusses navigating Medicare and Medi Cal uncertainty, investing in people and digital innovation, and pursuing strategic growth to expand access and scale the system's nearly $20 billion mission across California and beyond.

Send a textHow SaaS CEOs Should Navigate AI-Native, AI-Augmented, and Bolt-On AI Strategies to Protect Revenue and Reduce Churn Guest: Ken Lempit, President & Chief Strategist at Austin Lawrence Group  --  AI is not just another feature cycle — it's an inflection point for SaaS.In this episode of SaaS Backwards, Ken Lempit steps into the guest seat to break down what AI really means for SaaS companies, especially mid-market and enterprise software vendors trying to protect revenue while planning their next product evolution.Ken draws a powerful parallel between today's AI shift and the early 2000s transition from client-server to cloud — arguing that this AI cycle is moving faster and carries even greater competitive risk.He explains the critical differences between:AI-native SaaS productsAI-augmented platformsBolt-on AI featuresAnd why the wrong strategy could quietly increase churn, shrink pipeline, and erode relevance.You'll also hear:How to diagnose whether you have a GTM problem or a product relevance problemWhy “vibe coding” poses real risk to mid-market SaaS vendorsShort-term product and pricing moves to survive the next 12–18 monthsLessons from BackEngine's pivot from conversation mining to revenue enablementWhy your AI narrative may matter more than your marketing spendIf you're a SaaS CEO, founder, or go-to-market leader wondering how aggressive your AI roadmap needs to be, this episode is your strategic wake-up call.Get a free SaaS GTM Checkup: https://info.austinlawrence.com/saas-gtm-checkup ---Not Getting Enough Demos? Your messaging could be turning buyers away before you even get a chance to pitch.

The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews:   Oracle's Cloud Supply Chain Capabilities, Q&A (Darian Chwialkowski, Third Stage Consulting) Industry 4.0 Why Software Best Practices Do Not Exist   We also cover a number of other relevant topics related to digital and business transformation throughout the show.  

The Government is to confirm its intention to introduce age restrictions on the use of social media. This will form part of a new Digital and AI Strategy that will be considered by the Cabinet. To discuss further with Anton was Malcolm Byrne, Fianna Fáil TD for Wicklow Wexford and Sinead Gibney , Social Democrats TD for Dublin Rathdown.

Guests: Tim Kreytak, CEO and Co-Founder of Ironside, one of North America's leading analytics and data consulting firms and a multiple Inc. 5000 honoree. Jason Breazeale, Vice President of Technology at Burn Boot Camp, a rapidly growing fitness franchise with nearly 400 locations. Overview: Yes, your company needs to be using AI. But before you start buying subscriptions and upgrading your tech stack, you need to understand what actually drives successful AI integrations: a bedrock of solid data. Without clean, accessible, and trusted data, even the most advanced AI tools will fail to deliver results. On today's show, Tim Kreytak and Jason Breazeale discuss why you need BIG data mastery before AI can help your company Make BIG Happen.

In today's Cloud Wars Minute, I break down ServiceNow's latest AI expansion with Anthropic and what it means for enterprise workflows.Highlights00:04 — I recently reported on ServiceNow's expanded collaboration with OpenAI. That agreement makes OpenAI's models the go-to solution for companies running upwards of 80 billion annual workflows on the ServiceNow platform.00:17 — Now, ServiceNow has announced that Anthropic's Claude models will be integrated into core ServiceNow workflows for tasks like app development, with Claude serving as the default model powering the ServiceNow Build Agent — the company's tool for easy development of agentic workflows.00:37 — This is what ServiceNow Chairman and CEO Bill McDermott had to say about the announcement: “ServiceNow and Anthropic are turning intelligence into action through AI-native workflows for the world's largest enterprises ... Together, we are proving that deeply integrated platforms with an open ecosystem are how the future is built.”01:12 — In addition to Build Agent, ServiceNow is integrating Claude alongside purpose-built solutions throughout the implementation lifecycle, with the aim of achieving a 50% reduction in the time it takes customers to deploy solutions built on the ServiceNow AI platform.01:31 — ServiceNow and Anthropic are also building agent-based workflows for specific industries, including healthcare and life sciences, for tasks such as research and analysis. Just as it has done with OpenAI, ServiceNow is integrating Claude directly into workflows — and it's this integration that can lead to much better outcomes for AI initiatives.02:03 — By making these model choices the default, ServiceNow removes the guesswork from customer decision-making and enables customers to rely on the company's expertise to achieve the best results. Visit Cloud Wars for more.

Dr. Nyree Whitley, Chief Clinical Officer at mydentist & Dr. Gordon Barfield, Senior Clinical Manager at Overjet discuss: What a clinician-first diagnostic strategy looks like The dental regulatory & clinical environment in the UK Advice for clinical leaders evaluating AI in dentistry Much more To learn more about Overjet AI you can visit https://www.overjet.com/ and book a demo or connect with Dr. Barfield on Linkedin - https://www.linkedin.com/in/gordon-barfield-dds-ms-676a9516/ To learn more about mydentist you can visit https://www.mydentist.co.uk/ or connect with Dr. Whitley on Linkedin - https://www.linkedin.com/in/nyree-whitley-2a85b85a/  Subscribe to our channel for more episodes and stay updated on the latest DSO news, insights, and events! If you like our podcast, please give us a ⭐⭐⭐⭐⭐ review on iTunes https://apple.co/2Nejsfa and a Thumbs Up on YouTube.  

AI developments legit change hourly.That means what business leaders can do changes daily. And drastically.As soon as you FINALLY learn a new AI technique, it's often already outdated, and approvals to use it at work can take forevvvvver.Solution: know what's coming.That's why you have me.I'm not a mind reader, but I spend almost all day every day talking with the people building AI, using it myself, and teaching others. It's literally my job.Each year I publish predictions and a roadmap because you don't have 10 hours a day to keep up.(I do.)So, today is part 1 of one of our most important shows of the year: Our AI Predictions and Roadmap series. AI Agent Crash, Software Collapses and Non-Human Economies. 2026 AI Prediction and Roadmap Series. Vol 1Let's get it.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:2026 AI Lab-University Data PartnershipsVenture Capital Firms Shift to Venture StudiosEnterprise Demand for Grounded-Only AI ModelsGoogle AI Winning Short-Term, Building Long-TermInternal Agent-to-Agent Enterprise EconomiesSoftware Stocks and ETFs Face 2026 DrawdownMessaging as Universal AI Agent InterfaceMajor 2026 National AI Agent Crash PredictedFortune 500 Shadow AI Data BreachesTimestamps:00:00 "AI Trends and Roadmap Insights"04:39 2026 AI Roadmap Series09:28 "AI Impact on U.S. Colleges"12:11 "AI Strategy and Training Services"16:36 "Future of Venture and Software"18:45 "Three Sources for AI Models"21:56 "Google's Multimodal Model Dominance"24:15 "Google's Robotics & AI Advances"27:17 Agent Cost Attribution Systems32:56 "Messaging as AI Communication Interface"36:42 "Autonomy Crisis and Media Impact"38:13 "AI Surge and 2026 Crash"41:26 Choosing the Right AI Tools44:27 "AI Governance and Accountability Essentials"49:36 AI Disruption and Safety Warning52:27 AI Automates Competitive Analysis Tasks53:55 "AI Drives 24/7 Agent Ops"58:11 "Sharing Notes and Support"Keywords: O2026 AI predictions, AI roadmap, AI agent crash, software collapse, non-human economies, AI agent,Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and access all episodes there: StartHereSeries.com 

The Department of the Navy is putting the finishing touches on a new AI strategy. Officials say it's a direct response to lessons learned from recent conflicts and the increasing speed at which adversaries are able to adapt their tactics and technologies. The strategy has undergone two rounds of review, and it's expected to be signed soon by the Secretary of the Navy. As Federal News Network's Jared Serbu reports, officials say they're trying to build on the Navy's own operational experience, and on and best practices from industry.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews:   Why Oracle is Cutting Up to 30,000 Jobs, Q&A (Darian Chwialkowski, Third Stage Consulting) The Anatomy of an ERP Project Failure (Fred Hessler, Third Stage Consulting) Why Your Business & IT Operations Are in Conflict We also cover a number of other relevant topics related to digital and business transformation throughout the show.  

Aby Varma The podcast episode focused on AI in marketing, where Aby shared his background and expertise in guiding marketing executives through their AI journey, emphasizing the importance of responsible AI implementation and strategic business use. They discussed the challenges and misconceptions surrounding AI adoption in businesses, highlighting the need for careful integration, domain expertise, and the importance of human judgment in AI-driven decision-making. Summary AI Marketing Strategies Discussion Manny introduced the podcast episode on AI in marketing, welcoming Abby Varma as the guest. Abby shared his background as a global business and marketing leader, founder of Spark Novus, and host of the Marketing AI Sparkcast podcast. He emphasized his focus on guiding marketing executives through their AI journey and creating responsible strategies for business growth. Manny and Abby discussed the importance of AI in marketing and the episode's aim to help listeners use AI effectively for better results. AI Marketing Strategy Expert Aby shared his background in marketing and sales, highlighting his 20+ years of experience and his transition into AI during the COVID-19 pandemic.  He emphasized the importance of combining sales and marketing perspectives to enhance marketing strategies, advocating for a data-driven approach that considers the needs of sales teams. Aby also mentioned his role in founding SparkNews about three years ago, where he continues to focus on the intersection of marketing and technology. AI Evolution and Strategic Integration Aby discussed the rapid evolution of AI, particularly generative AI and the emerging concept of AI agents, noting that 2025 marked a shift from basic AI adoption to strategic business use. He highlighted the importance of education and responsible AI implementation, addressing concerns about job displacement and emphasizing the need for strategic integration of AI as an assistant to human workers rather than a replacement. AI Agents vs Traditional Automation Aby explained the concept of AI agents, distinguishing them from traditional automation by their ability to interpret and perform non-deterministic tasks based on guidelines, using Salesforce's Agent Force as an example. AI Strategy and Change Management Aby discussed the importance of viewing AI as a strategic change in operating approach rather than just a tool adoption. He emphasized that successful companies align AI initiatives with their strategic pillars and business goals, while also focusing on employee change management, literacy, and hands-on experimentation. The key success criterion he highlighted was developing an overarching AI strategy for 3 years before selecting specific tools and technologies. Strategic Technology Adoption Insights Aby advised Manny to test new technologies with a small group before scaling up to avoid disruption, drawing from his experience with companies implementing AI and other tools. He emphasized the importance of aligning technology initiatives with strategic goals, rather than chasing the latest "shiny toys," and shared a real example of a company that had to pivot from an AI project to a more strategic go-to-market initiative. Aby also highlighted the critical mistake of ignoring the human element in technology adoption, noting that employees often fear job loss and lack clarity on appropriate AI usage due to inadequate governance and training. AI Implementation Challenges in Business Manny and Aby discussed the challenges and misconceptions surrounding AI implementation in businesses. Aby emphasized the importance of domain expertise and highlighted that AI is not a silver bullet for quick results, but rather a tool that requires careful integration into existing processes. They also talked about the need for patience from executives and the importance of human judgment in AI-driven decision-making. Aby advised listeners to look for case studies and references when seeking AI expertise and to focus on how AI can enhance human capabilities rather than replace them.   How to connect with Aby: https://public.3.basecamp.com/p/GMJKy5M9ifHL7EQkiRNPVhh7 https://sparknovus.com/  https://www.linkedin.com/in/abyvarma/'     Connect with Manny: Email: Manny@mannynowak.com Linkedin: https://www.linkedin.com/in/mannynowak/ Website: http://coachmanny.com/  

In this Retail Technology Spotlight Series episode, Chris Walton sits down with Experion Technologies' Mahesh Vijayaraghavan (VP of Retail & Consumer Goods) and Siraj Alimohamed (Global Head of Data & AI) to cut through the AI hype. From platform-first strategies to the pilot fatigue epidemic, Mahesh and Siraj break down why AI is overhyped at the dashboard level but underappreciated where it matters most, i.e. in 6 a.m. inventory decisions and real-time store operations. Learn why building AI like a muscle beats treating it like a project, how to escape automation chaos, and why your digital experience is about to become your biggest competitive advantage.

In this episode of Tank Talks, Matt Cohen and John Ruffolo rip through a stacked rundown of tech, venture capital, and geopolitical “sovereignty” theater. They open with Europe's accelerating shift away from Microsoft Office and big U.S. platforms toward open-source alternatives, then jump straight into a breaking change from Y Combinator CEO Garry Tan: Canada is back on the list of accepted incorporations, reversing a move that sparked serious backlash about Canadian startup brain drain and U.S.-domicile pressure.From there, they dissect Elon Musk's headline-grabbing SpaceX–xAI all-stock merger and why it looks way better for xAI holders than SpaceX shareholders ahead of a rumored SpaceX IPO window. The episode also digs into Canada's national AI consultation (and the government openly using multiple LLM providers like Cohere and OpenAI to process submissions), the EU's push for digital sovereignty (and the risks of swapping to “free” tools), and the brutal reality of AI-driven search gutting legacy media traffic, with the Washington Post laying off a third of its newsroom. The big throughline: information is cheap now, execution and trust are expensive, and countries (and companies) that don't adapt are about to get cooked.Y Combinator Reverses Course: Canada Back on the List (00:43)YC CEO Garry Tan adds Canada back to YC's list of accepted incorporation jurisdictions after removing it, triggering a wave of criticism. Matt and John break down what changed, why the original rationale (Canadian winners re-domiciling to the U.S.) was a flawed signal, and why the real issue is still Canadian capital formation and follow-on funding strength.SpaceX Buys xAI: A $1.25T Story Swap Before an IPO? (02:34)Matt tees up the shocker: SpaceX acquires xAI in an all-stock deal valuing xAI at $250B and SpaceX at $1T, creating a combined $1.25T entity. They discuss xAI's massive burn versus SpaceX's improving cash profile (driven by Starlink) and why this kind of move raises eyebrows heading into an IPO narrative.Second-Order Effects: When a Cash-Burning AI Company Merges Into Space Infrastructure (07:35)They debate whether this becomes a template for other pre-IPO restructures or stays a one-off “Elon special.” John says a Starlink-style consolidation would make strategic sense; folding in xAI doesn't feel like a choke-point win.Canada's AI Strategy Consultation: Government Using LLMs in the Workflow (09:10)Canada's ISED publishes a high-level summary of its AI consultation and explicitly notes using multiple LLMs and pipelines (including Cohere and OpenAI) to process massive public input. Matt frames this as a meaningful “government actually doing something” moment, even if the public is still anxious about jobs and privacy.Europe's Digital Sovereignty Push: Dropping Teams/Zoom for Open Source? (12:40)They react to reports of governments moving away from Teams/Zoom and Microsoft tooling in the name of sovereignty. Matt calls the open-source swap risky from a security and operational standpoint; John says the bigger signal is global: sovereignty is now a first-order priority, and Canada can't pretend this wave isn't coming.Washington Post Layoffs: AI Search Is Eating the Referral Economy (16:48)Matt highlights the Washington Post's reported search traffic collapse and layoffs impacting a third of the newsroom. John calls journalism an obvious early disruption target: LLMs compress content production costs, and the old newsroom pyramid doesn't match the new economics.The Survival Play: Media Becomes a Live Events Business (19:26)They land on the counter-move: stop fighting the trend and monetize what still works: brand, access, community, and in-person experiences. If content becomes commoditized, relationships and trust become the product.Connect with John Ruffolo on LinkedIn: https://ca.linkedin.com/in/joruffoloConnect with Matt Cohen on LinkedIn: https://ca.linkedin.com/in/matt-cohen1Visit the Ripple Ventures website: https://www.rippleventures.com/ This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit tanktalks.substack.com

Microsoft is burning through billions on AI, but Wall Street is finally demanding to see where the payoff is. The earnings announcement triggered a $357 billion valuation wipe-out, the largest in Microsoft's history and the second-largest in history overall (Nvidia managed to lose $593 billion in value in the wake of DeepSeek in early 2025).Windows Windows 11 has over one billion users - and, surprise, it got their faster than Windows 10 without any of the shenanigans Microsoft to address the quality issues in Windows 11 in 2026 There is already evidence that Microsoft is trying to make Windows 11 suck less: Recent OneDrive changes that address a key ensh*ttification, and let's not forget all those security advances What did Microsoft really promise? Not much Microsoft has new EVPs for Security and Quality Microsoft belatedly delivered the January Week D update last Thursday, a preview of this month's Patch Tuesday Dev and Beta builds both deliver Mark Russinovich's sysmon tool Microsoft earnings deep dive Microsoft reported a net income of $38.5 billion on revenues of $81.3 billion in the quarter ending December 31. Those figures represent gains of 60 percent and 17 percent, respectively, year-over-year Earnings analysis: All eyes are on AI and no one is happy Microsoft spent $37.5 billion on AI infrastructure (capex) in the quarter, up 66 percent YOY, and it's on track to spend $150+ billion in the fiscal year Every single question was about this and how it will ever recoup the costs There are now 15 million paid Microsoft 365 Copilot seats out of 450+ million Microsoft 365 seats OpenAI is Microsoft's biggest Azure customer, but it's unclear if there is any real money there because of accounting tricks Windows, Edge, and Bing all "gained share," PC maker revenues were up just 1 percent, the Windows 10 upgrade cycle was mostly a bust (it's likely that most of it was tied to RAM pricing fears, too) Xbox fell off a cliff with content and services revenues down 5 percent in a holiday quarter somehow and Xbox hardware revenue declined an astonishing 32 percent YOY Standalone Office 2025 suite was a surprise hit, Hood is curious if that continues Microsoft 365 "cost of business" up 10 percent YOY because of AI costs AMD revenues up 34 percent to $10.3 billion Apple delivers record revenues of $143.8 billion; iPhone made more revenues by itself than all of Microsoft AI Microsoft is going to basically make an app store for content makers who wish to be paid for use by AI Anthropic advertises that Claude will be advertising-free, unlike ChatGPT The next Firefox will include the promised AI kill switch and Vivaldi "extends the middle fingerˮ to AI Xbox and games AMD reveals next Xbox console in 2027 We're getting a solid collection of Xbox Game Pass titles for the beginning of February Battlefield 6 was the best-selling shooter of 2025 and EA made $1.9 billion in Q4 Epic Games has big plans for its PC launcher/store Nintendo has now sold 17 million Switch 2s as OG Switch hits 155 million units Tips and picks Tip of the week: Make OneDrive Folder Backup work for you App pick of the week: Bitwarden (TWiT sponsor) RunAs Radio this week: Getting Started using Purview with Erica Toelle Brown liquor pick of the week: Glendronach Ode to These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/969 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsor: zscaler.com/security

Microsoft is burning through billions on AI, but Wall Street is finally demanding to see where the payoff is. The earnings announcement triggered a $357 billion valuation wipe-out, the largest in Microsoft's history and the second-largest in history overall (Nvidia managed to lose $593 billion in value in the wake of DeepSeek in early 2025).Windows Windows 11 has over one billion users - and, surprise, it got their faster than Windows 10 without any of the shenanigans Microsoft to address the quality issues in Windows 11 in 2026 There is already evidence that Microsoft is trying to make Windows 11 suck less: Recent OneDrive changes that address a key ensh*ttification, and let's not forget all those security advances What did Microsoft really promise? Not much Microsoft has new EVPs for Security and Quality Microsoft belatedly delivered the January Week D update last Thursday, a preview of this month's Patch Tuesday Dev and Beta builds both deliver Mark Russinovich's sysmon tool Microsoft earnings deep dive Microsoft reported a net income of $38.5 billion on revenues of $81.3 billion in the quarter ending December 31. Those figures represent gains of 60 percent and 17 percent, respectively, year-over-year Earnings analysis: All eyes are on AI and no one is happy Microsoft spent $37.5 billion on AI infrastructure (capex) in the quarter, up 66 percent YOY, and it's on track to spend $150+ billion in the fiscal year Every single question was about this and how it will ever recoup the costs There are now 15 million paid Microsoft 365 Copilot seats out of 450+ million Microsoft 365 seats OpenAI is Microsoft's biggest Azure customer, but it's unclear if there is any real money there because of accounting tricks Windows, Edge, and Bing all "gained share," PC maker revenues were up just 1 percent, the Windows 10 upgrade cycle was mostly a bust (it's likely that most of it was tied to RAM pricing fears, too) Xbox fell off a cliff with content and services revenues down 5 percent in a holiday quarter somehow and Xbox hardware revenue declined an astonishing 32 percent YOY Standalone Office 2025 suite was a surprise hit, Hood is curious if that continues Microsoft 365 "cost of business" up 10 percent YOY because of AI costs AMD revenues up 34 percent to $10.3 billion Apple delivers record revenues of $143.8 billion; iPhone made more revenues by itself than all of Microsoft AI Microsoft is going to basically make an app store for content makers who wish to be paid for use by AI Anthropic advertises that Claude will be advertising-free, unlike ChatGPT The next Firefox will include the promised AI kill switch and Vivaldi "extends the middle fingerˮ to AI Xbox and games AMD reveals next Xbox console in 2027 We're getting a solid collection of Xbox Game Pass titles for the beginning of February Battlefield 6 was the best-selling shooter of 2025 and EA made $1.9 billion in Q4 Epic Games has big plans for its PC launcher/store Nintendo has now sold 17 million Switch 2s as OG Switch hits 155 million units Tips and picks Tip of the week: Make OneDrive Folder Backup work for you App pick of the week: Bitwarden (TWiT sponsor) RunAs Radio this week: Getting Started using Purview with Erica Toelle Brown liquor pick of the week: Glendronach Ode to These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/969 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsor: zscaler.com/security

Microsoft is burning through billions on AI, but Wall Street is finally demanding to see where the payoff is. The earnings announcement triggered a $357 billion valuation wipe-out, the largest in Microsoft's history and the second-largest in history overall (Nvidia managed to lose $593 billion in value in the wake of DeepSeek in early 2025).Windows Windows 11 has over one billion users - and, surprise, it got their faster than Windows 10 without any of the shenanigans Microsoft to address the quality issues in Windows 11 in 2026 There is already evidence that Microsoft is trying to make Windows 11 suck less: Recent OneDrive changes that address a key ensh*ttification, and let's not forget all those security advances What did Microsoft really promise? Not much Microsoft has new EVPs for Security and Quality Microsoft belatedly delivered the January Week D update last Thursday, a preview of this month's Patch Tuesday Dev and Beta builds both deliver Mark Russinovich's sysmon tool Microsoft earnings deep dive Microsoft reported a net income of $38.5 billion on revenues of $81.3 billion in the quarter ending December 31. Those figures represent gains of 60 percent and 17 percent, respectively, year-over-year Earnings analysis: All eyes are on AI and no one is happy Microsoft spent $37.5 billion on AI infrastructure (capex) in the quarter, up 66 percent YOY, and it's on track to spend $150+ billion in the fiscal year Every single question was about this and how it will ever recoup the costs There are now 15 million paid Microsoft 365 Copilot seats out of 450+ million Microsoft 365 seats OpenAI is Microsoft's biggest Azure customer, but it's unclear if there is any real money there because of accounting tricks Windows, Edge, and Bing all "gained share," PC maker revenues were up just 1 percent, the Windows 10 upgrade cycle was mostly a bust (it's likely that most of it was tied to RAM pricing fears, too) Xbox fell off a cliff with content and services revenues down 5 percent in a holiday quarter somehow and Xbox hardware revenue declined an astonishing 32 percent YOY Standalone Office 2025 suite was a surprise hit, Hood is curious if that continues Microsoft 365 "cost of business" up 10 percent YOY because of AI costs AMD revenues up 34 percent to $10.3 billion Apple delivers record revenues of $143.8 billion; iPhone made more revenues by itself than all of Microsoft AI Microsoft is going to basically make an app store for content makers who wish to be paid for use by AI Anthropic advertises that Claude will be advertising-free, unlike ChatGPT The next Firefox will include the promised AI kill switch and Vivaldi "extends the middle fingerˮ to AI Xbox and games AMD reveals next Xbox console in 2027 We're getting a solid collection of Xbox Game Pass titles for the beginning of February Battlefield 6 was the best-selling shooter of 2025 and EA made $1.9 billion in Q4 Epic Games has big plans for its PC launcher/store Nintendo has now sold 17 million Switch 2s as OG Switch hits 155 million units Tips and picks Tip of the week: Make OneDrive Folder Backup work for you App pick of the week: Bitwarden (TWiT sponsor) RunAs Radio this week: Getting Started using Purview with Erica Toelle Brown liquor pick of the week: Glendronach Ode to These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/969 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsor: zscaler.com/security

Microsoft is burning through billions on AI, but Wall Street is finally demanding to see where the payoff is. The earnings announcement triggered a $357 billion valuation wipe-out, the largest in Microsoft's history and the second-largest in history overall (Nvidia managed to lose $593 billion in value in the wake of DeepSeek in early 2025).Windows Windows 11 has over one billion users - and, surprise, it got their faster than Windows 10 without any of the shenanigans Microsoft to address the quality issues in Windows 11 in 2026 There is already evidence that Microsoft is trying to make Windows 11 suck less: Recent OneDrive changes that address a key ensh*ttification, and let's not forget all those security advances What did Microsoft really promise? Not much Microsoft has new EVPs for Security and Quality Microsoft belatedly delivered the January Week D update last Thursday, a preview of this month's Patch Tuesday Dev and Beta builds both deliver Mark Russinovich's sysmon tool Microsoft earnings deep dive Microsoft reported a net income of $38.5 billion on revenues of $81.3 billion in the quarter ending December 31. Those figures represent gains of 60 percent and 17 percent, respectively, year-over-year Earnings analysis: All eyes are on AI and no one is happy Microsoft spent $37.5 billion on AI infrastructure (capex) in the quarter, up 66 percent YOY, and it's on track to spend $150+ billion in the fiscal year Every single question was about this and how it will ever recoup the costs There are now 15 million paid Microsoft 365 Copilot seats out of 450+ million Microsoft 365 seats OpenAI is Microsoft's biggest Azure customer, but it's unclear if there is any real money there because of accounting tricks Windows, Edge, and Bing all "gained share," PC maker revenues were up just 1 percent, the Windows 10 upgrade cycle was mostly a bust (it's likely that most of it was tied to RAM pricing fears, too) Xbox fell off a cliff with content and services revenues down 5 percent in a holiday quarter somehow and Xbox hardware revenue declined an astonishing 32 percent YOY Standalone Office 2025 suite was a surprise hit, Hood is curious if that continues Microsoft 365 "cost of business" up 10 percent YOY because of AI costs AMD revenues up 34 percent to $10.3 billion Apple delivers record revenues of $143.8 billion; iPhone made more revenues by itself than all of Microsoft AI Microsoft is going to basically make an app store for content makers who wish to be paid for use by AI Anthropic advertises that Claude will be advertising-free, unlike ChatGPT The next Firefox will include the promised AI kill switch and Vivaldi "extends the middle fingerˮ to AI Xbox and games AMD reveals next Xbox console in 2027 We're getting a solid collection of Xbox Game Pass titles for the beginning of February Battlefield 6 was the best-selling shooter of 2025 and EA made $1.9 billion in Q4 Epic Games has big plans for its PC launcher/store Nintendo has now sold 17 million Switch 2s as OG Switch hits 155 million units Tips and picks Tip of the week: Make OneDrive Folder Backup work for you App pick of the week: Bitwarden (TWiT sponsor) RunAs Radio this week: Getting Started using Purview with Erica Toelle Brown liquor pick of the week: Glendronach Ode to These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/969 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsor: zscaler.com/security

Microsoft is burning through billions on AI, but Wall Street is finally demanding to see where the payoff is. The earnings announcement triggered a $357 billion valuation wipe-out, the largest in Microsoft's history and the second-largest in history overall (Nvidia managed to lose $593 billion in value in the wake of DeepSeek in early 2025).Windows Windows 11 has over one billion users - and, surprise, it got their faster than Windows 10 without any of the shenanigans Microsoft to address the quality issues in Windows 11 in 2026 There is already evidence that Microsoft is trying to make Windows 11 suck less: Recent OneDrive changes that address a key ensh*ttification, and let's not forget all those security advances What did Microsoft really promise? Not much Microsoft has new EVPs for Security and Quality Microsoft belatedly delivered the January Week D update last Thursday, a preview of this month's Patch Tuesday Dev and Beta builds both deliver Mark Russinovich's sysmon tool Microsoft earnings deep dive Microsoft reported a net income of $38.5 billion on revenues of $81.3 billion in the quarter ending December 31. Those figures represent gains of 60 percent and 17 percent, respectively, year-over-year Earnings analysis: All eyes are on AI and no one is happy Microsoft spent $37.5 billion on AI infrastructure (capex) in the quarter, up 66 percent YOY, and it's on track to spend $150+ billion in the fiscal year Every single question was about this and how it will ever recoup the costs There are now 15 million paid Microsoft 365 Copilot seats out of 450+ million Microsoft 365 seats OpenAI is Microsoft's biggest Azure customer, but it's unclear if there is any real money there because of accounting tricks Windows, Edge, and Bing all "gained share," PC maker revenues were up just 1 percent, the Windows 10 upgrade cycle was mostly a bust (it's likely that most of it was tied to RAM pricing fears, too) Xbox fell off a cliff with content and services revenues down 5 percent in a holiday quarter somehow and Xbox hardware revenue declined an astonishing 32 percent YOY Standalone Office 2025 suite was a surprise hit, Hood is curious if that continues Microsoft 365 "cost of business" up 10 percent YOY because of AI costs AMD revenues up 34 percent to $10.3 billion Apple delivers record revenues of $143.8 billion; iPhone made more revenues by itself than all of Microsoft AI Microsoft is going to basically make an app store for content makers who wish to be paid for use by AI Anthropic advertises that Claude will be advertising-free, unlike ChatGPT The next Firefox will include the promised AI kill switch and Vivaldi "extends the middle fingerˮ to AI Xbox and games AMD reveals next Xbox console in 2027 We're getting a solid collection of Xbox Game Pass titles for the beginning of February Battlefield 6 was the best-selling shooter of 2025 and EA made $1.9 billion in Q4 Epic Games has big plans for its PC launcher/store Nintendo has now sold 17 million Switch 2s as OG Switch hits 155 million units Tips and picks Tip of the week: Make OneDrive Folder Backup work for you App pick of the week: Bitwarden (TWiT sponsor) RunAs Radio this week: Getting Started using Purview with Erica Toelle Brown liquor pick of the week: Glendronach Ode to These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/969 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsor: zscaler.com/security

AI is just a new tool. It a shift in how work gets done, how brands show up, and how agencies prove value.Anne Green sits down with Aaron Kwittken, Partner and Global Head of AI + Innovation at FGS Global, to trace arc from agency builder to SaaS pioneer to enterprise AI operator. Aaron breaks down why the agentic revolution changes the game, how multi-model systems and “second screen” workflows reduce friction, and why adoption velocity matter more than the tech itself. They get practical about what is make-or-break in 2026from moving beyond hourly pricing to outcomes, to procurement pressure in-house agency. The conversation closes on what must stay human, where AI can accelerate the work, and how leaders can build the operating system for modern communications.In this episode:Why agentic workflows and second screen habits unlock real ROIThe agency business model reset, from hours and outputs to outcomesHow to build an AI stack that is multi-model, governed, and client-readyWhat still requires human judgment, especially crisis, counsel, and trust-building

The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews:   How Restrictive H-1B Policies Are Driving Tech Talent Back to India, Q&A (Darian Chwialkowski, Third Stage Consulting) The Top 10 Reasons Why Transformations Fail How CIOs Can Avoid Blame for Failures We also cover a number of other relevant topics related to digital and business transformation throughout the show.  

Why you should listenChristine Duque, former Big Four consultant and CEO of Alonsera, shares why only 10% of global companies are seeing real impact from AI, and what separates the successful ones from the rest.Learn Christine's "Three A's" framework for making AI consumable: Automated, Anticipatory, and Augmented intelligence, plus how to progress toward autonomous operations.Get practical guidance on structuring AI transformation committees and coaching executive sponsors to drive cross-organizational buy-in.Feeling pressure to "do something with AI" but unsure where to start without wasting budget or burning out your team? In this episode, I talk with Christine Duque, CEO of Alonsera and former Big Four consultant who now helps mid-market companies in highly regulated industries navigate AI implementation. We dig into why most AI initiatives fail before they even launch, and it's not the technology. Christine explains why treating AI like a silver bullet creates more chaos than progress, and what the 10% of companies getting real results are doing differently. If you're tired of the hype and want a grounded perspective on what AI adoption actually requires, this conversation cuts through the noise.About Christine DuqueChristine Duque is CEO of Alonsera, a global AI consultancy helping organizations deploy AI solutions that actually scale. With executive experience at Accenture, Deloitte, and IBM, she's overseen $2B+ in AI and digital transformation projects for Fortune 50/100/500 companies—delivering results like 70% faster data ingestion and 30-50% customer engagement efficiency gains.A sought-after speaker on ethical AI and digital transformation, Christine is actively shaping international AI standards through partnerships with Oxford University and UC Irvine. She authored the Amazon best-seller Walking in My Shoes: Shattering Glass Ceilings in Corporate America and co-founded the Women's Empowerment AI Network. An accomplished operatic soprano, she debuted at Carnegie Hall.Resources and LinksDuquesacd.comAlonsera.comChristine's LinkedIn profileChristine on Instagram: @christineduqueChristine on Facebook: Christine DuqueChristine on TikTok: @duquesacdYoutube Channel: Christine DuqueChristine's book: Walking In My Shoes:...

Most companies talk about AI strategy but freeze when it's time to actually implement. Collin McLelland shares how one E&P CEO cut through the noise by focusing on small, tangible wins—like automating regulatory filings that saved 1200 engineering hours. The real insight? Stop chasing sexy AI projects and start with workflows that deliver immediate ROI. Once teams see quick wins, adoption spreads fast and sophistication builds naturally.Click here to watch a video of this episode.Join the conversation shaping the future of energy.Collide is the community where oil & gas professionals connect, share insights, and solve real-world problems together. No noise. No fluff. Just the discussions that move our industry forward.Apply today at collide.ioClick here to view the episode transcript. 00:00 - The AI strategy question every executive is asking00:45 - Why big companies struggle to start with AI01:39 - Start small: the $1M savings approach02:20 - Real example: automating regulatory filings saves 1200 hours02:39 - Why companies chase sexy AI projects instead of practical wins03:07 - How sophistication builds through successive applications03:58 - Reimagining workflows: focus on outputs, not processes04:58 - The foundation: get your data house in order first05:50 - Pattern recognition: where the real home runs happenhttps://twitter.com/collide_iohttps://www.tiktok.com/@collide.iohttps://www.facebook.com/collide.iohttps://www.instagram.com/collide.iohttps://www.youtube.com/@collide_iohttps://bsky.app/profile/digitalwildcatters.bsky.socialhttps://www.linkedin.com/company/collide-digital-wildcatters

The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews:   Rimini Street Wins Multiple Industry Awards, Q&A (Darian Chwialkowski, Third Stage Consulting) How AI Is Affecting the World of ERP (Tanya Gonzalez-Infor, Paul Farrell-ECI, Evgenya Kontorovich-Priority Software, Gareth Guest-Sage, Craig Sullivan-Oracle NetSuite, Christian Tabasa-TEC) Microsoft D365, Is it Worth it?   We also cover a number of other relevant topics related to digital and business transformation throughout the show.  

Get Charlie's free guide to create genuine LinkedIn content with AI: https://clickhubspot.com/bkh Episode 94: Is AI making your LinkedIn content sound generic or robotic? Discover how to cut through the noise and build a genuine following using LinkedIn's newest AI strategies with host Maria Gharib (https://uk.linkedin.com/in/maria-gharib-091779b9), and special guest Charlie Hills (https://www.linkedin.com/in/charlie-hills/), a LinkedIn celebrity who skyrocketed from zero to nearly 200,000 followers in just 18 months. Charlie Hills is renowned for redefining AI-powered personal branding and content creation on LinkedIn. He's not your typical LinkedIn influencer—Charlie helps leading entrepreneurs and professionals craft viral, community-driven content that feels human, not machine-made. In this episode, Charlie pulls back the curtain on his viral content strategy: the CHEF framework (Curate, Heat, Enhance, Feed). You'll get a step-by-step breakdown of how to use deep research tools, context stacking, and storytelling frameworks to make AI work for YOU—not the other way around. Plus, unlock actionable hacks like Charlie's “pinned comment” trick and learn how to supercharge engagement, build authority, and keep your feed free from AI slop. Check out The Next Wave YouTube Channel if you want to see Matt and Nathan on screen: https://lnk.to/thenextwavepd — Show Notes: (00:00) Viral LinkedIn Growth Secrets (04:28) Building Authentic Authority Online (08:01) Advanced Deep Research Tools Comparison (10:15) Reverse Engineering Personal Content Style (14:12) Enhancing Writing with Context (16:20) Building Community Through Insights — Mentions: Charlie Hills: https://www.instagram.com/charliehills/ ChatGPT Deep Research Mode: https://openai.com/index/introducing-deep-research/ Claude: https://claude.ai/ Gemini: https://gemini.google.com/app Perplexity: https://www.perplexity.ai/ Get the guide to build your own Custom GPT: https://clickhubspot.com/tnw — Check Out Matt's Stuff: • Future Tools - https://futuretools.beehiiv.com/ • Blog - https://www.mattwolfe.com/ • YouTube- https://www.youtube.com/@mreflow — Check Out Nathan's Stuff: Newsletter: https://news.lore.com/ Blog - https://lore.com/ The Next Wave is a HubSpot Original Podcast // Brought to you by Hubspot Media // Production by Darren Clarke // Editing by Ezra Bakker Trupiano

(0:00) Introducing David Sacks and Michael Kratsios, moderated by Maria Bartiromo (1:21) The cost of infrastructure build-out, energy challenges (12:41) Where AI will be most impactful (22:39) The China Threat, globalization strategy (39:12) America's entrepreneurial AI outlook Follow Michael: https://x.com/MichaelKratsios Follow Maria: https://x.com/MariaBartiromo Follow the besties: https://x.com/chamath https://x.com/Jason https://x.com/DavidSacks https://x.com/friedberg Follow on X: https://x.com/theallinpod Follow on Instagram: https://www.instagram.com/theallinpod Follow on TikTok: https://www.tiktok.com/@theallinpod Follow on LinkedIn: https://www.linkedin.com/company/allinpod Intro Music Credit: https://rb.gy/tppkzl https://x.com/yung_spielburg Intro Video Credit: https://x.com/TheZachEffect

The marketing teams winning with AI today are not the ones chasing every new model release. They are the ones who found the boring, repetitive tasks their teams hate and automated those first.Nir Pochter, Co-Founder and CMO at Lightricks, joins Stephanie Postles on Marketing Trends to break down what AI actually means for creative workflows and why most teams are still using it wrong.You'll learn:- The "algebra problem" of AI adoption- How to save your design team 80% of their time- Why the gap between marketers who use AI well and those who don't is widening fast.- How to use an LLM scoring system to pre-review documents for you- The dangerous trend of "AI Marketer" job titles- What's really in store for the future of video+AI Key Moments:00:00 — Why AI Hasn't Improved Creative Output Yet02:06 — The Algebra Problem: Tools vs. Knowing How to Use Them07:27 — Nir's Background: AI PhD to Lightricks and FaceTune09:46 — What Used to Take Weeks Now Takes Minutes13:35 — Why Automating Everything Failed Miserably16:38 — Start with What People Hate Doing20:08 — The LLM Scoring System: Nothing Gets Reviewed Without an 8521:43 — Train Your LLM to Be Mean, Not Nice23:32 — Building Custom GPTs with Company Guidelines26:30 — The Pitfall: Using AI to Please Leadership28:47 — From Toys to Tools: Why Text-to-Video Isn't Enough31:05 — Coca-Cola's 70,000 Prompts (Was It Worth It?)34:41 — AI Won't Replace Creatives, But This Will37:04 — The Two Critical Skills: Prompting and Curation37:55 — How AI Multiplies the Skills Gap (7 vs 10 Example)42:47 — What CMOs Should Be Asking Their Teams46:20 — Why "AI Marketer" Is LinkedIn Fluff This episode is brought to you by Lightricks. LTX is the all-in-one creative suite for AI-driven video production; built by Lightricks to take you from idea to final 4K render in one streamlined workspace.Powered by LTX-2, our next-generation creative engine, LTX lets you move faster, collaborate seamlessly, and deliver studio-quality results without compromise. Try it today at ltx.studio Mission.org is a media studio producing content alongside world-class clients. Learn more at mission.org. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.