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The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews: What Real OCM Actually Looks Like Change Management Isn't Fluffy (Afra Corona, Organizational Change Management Consultant at Third Stage Consulting) The Backfill Problem We also cover a number of other relevant topics related to digital and business transformation throughout the show.
Daniel moderated a live panel at Running Remote 2026 with Carmen Amara (Yelp), Brandon Sammut (Zapier), and Vinícius Coelho (Time Doctor) to discuss how AI is reshaping leadership, management, and career growth. ---- Sponsor Links:
Welcome to episode #1041 of Thinking With Mitch Joel (formerly Six Pixels of Separation). At a time when every leadership team is being told that artificial intelligence will change everything, Charlene Li has spent her career helping organizations separate signal from noise. A New York Times bestselling author and trusted advisor to CEOs and boards, Charlene first became widely known for helping leaders understand transformative shifts through books like Groundswell, Open Leadership and The Disruption Mindset. Her latest book, Winning With AI - The 90-Day Blueprint For Success, co-authored with Dr. Katia Walsh, tackles one of the most pressing questions facing business leaders today: not what AI is, but what to do about it. Drawing on research, executive interviews and practical experience, Charlene argues that organizations do not need an AI strategy… they need to rethink how AI serves their existing business strategy. In our conversation, she explores why most organizations are still struggling to move beyond experimentation, why leadership and transformation matter more than technology selection, and why the greatest opportunity may not be efficiency at all, but creating more human-centered organizations. Along the way, Charlene challenges conventional thinking about AI pilots, workforce transformation, organizational design and the future role of leadership in an era where intelligence itself is becoming abundant. Enjoy the conversation… Running time: 1:01:50. Hello from beautiful Montreal. Listen and subscribe over at Apple Podcasts. Listen and subscribe over at Spotify. Please visit and leave comments on the blog - Thinking With Mitch Joel. Feel free to connect to me directly on LinkedIn. Check out ThinkersOne. Here is my conversation with Charlene Li. Winning With AI - The 90-Day Blueprint For Success. Dr. Katia Walsh. Groundswell. Open Leadership. The Disruption Mindset. Charlene's other books. Follow Charlene on LinkedIn. Chapters: (00:00) - Introduction to AI and Leadership. (03:02) - Navigating the AI Landscape. (05:57) - Understanding AI's Impact on Organizations. (09:09) - The Human Element in AI. (12:10) - Rethinking Workflows and Decision-Making. (14:45) - Strategic AI Roadmaps. (17:54) - Investment and Governance in AI. (20:52) - Creating Value with AI. (23:53) - Emergent Thinking and AI Adoption. (31:00) - The Role of Leadership in AI Implementation. (34:50) - Ownership and Accountability in AI Strategy. (39:01) - Creating Value Beyond Efficiency with AI. (45:07) - Navigating Workforce Changes and Reskilling. (48:59) - Addressing Employee Concerns About AI. (54:54) - The Case Against AI Pilots. (55:54) - The Importance of Speed in AI Adoption.
The entrepreneurs seeing the best results from AI are not using it to do more — they are using it to spend more time on the work that matters most. Here is how. To learn more, visit https://www.apriliannazzone.com/ai-business-strategy-2026/ April Iannazzone City: Cheyenne Address: 1621 Central Ave Website: https://www.apriliannazzone.com/ Email: april@apriliannazzone.com
The AI Breakdown: Daily Artificial Intelligence News and Discussions
...it needs an AI learning system. This episode argues that the Fable 5 disruption exposed a deeper enterprise problem: companies can't treat AI as a vendor strategy. The real advantage will come from building learning systems that capture institutional judgment, workflow traces, private evals, and model-portable IP. In the headlines: could Anthropic and the White House be headed for a resolution? Register for our new enterprise-grade AI training programs: http://training.besuper.ai/Brought to you by:KPMG – Research from KPMG and the University of Texas at Austin shows the highest-impact AI users treat AI like a reasoning partner — and those skills can be taught at scale. Learn more at kpmg.com/us/SophisticatedSection - Section turns AI investment into workforce transformation and ROI - https://www.sectionai.com/Outsystems - Stop wondering how AI will change your business and start building the agents that will lead it - http://outsystems.com/Scrunch - The AI customer experience platform - https://scrunch.com/Zenflow Work - Agents for knowledge work - https://zenflow.free/Blitzy - Want to accelerate enterprise software development velocity by 5x? https://blitzy.com/MissionCloud - Eliminate AWS complexity with end-to-end cloud and AI services https://www.missioncloud.com/AssemblyAI - The best way to build Voice AI apps - https://www.assemblyai.com/briefRobots & Pencils - Cloud-native AI solutions that power results https://robotsandpencils.com/The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Our Newsletter is BACK: https://aidailybrief.beehiiv.com/Interested in sponsoring the show? sponsors@aidailybrief.ai
What happens when one of the world's largest enterprise software companies declares that it is no longer a software company, but an AI company? At SAP Sapphire, I caught up with James Bates, Head of Customer Advisory at SAP UK & Ireland, to discuss the company's vision for what it calls the Autonomous Enterprise and why this year's event felt different from any SAP conference before it. From standing-room-only AI sessions to bold declarations from SAP leadership, there was a clear sense that the conversation around AI has moved beyond experimentation and into the world of measurable business outcomes. In our conversation, James explained why so many organizations remain stuck in what he described as the experimentation phase of AI, despite years of investment and countless pilot projects. We explored why successful AI initiatives begin with business outcomes rather than technology choices and why data, governance, and process context have become the foundations of enterprise AI success. We also examined some of the standout announcements from Sapphire, including SAP's AI Agent Hub, the growing role of Joule as a new interface for work, and the company's expanding ecosystem of partnerships with organizations including Anthropic, NVIDIA, Microsoft, Google Cloud, Palantir, and Mistral. James shared why SAP believes the future lies in combining large language models with business context, process knowledge, and trusted enterprise data. The discussion also touched on real-world examples that demonstrate how AI agents are beginning to transform customer experiences, automate complex workflows, and support employees across finance, supply chain, and customer-facing operations. Rather than replacing people, James sees AI assistants and agents working alongside employees, removing repetitive tasks and helping teams focus on higher-value activities. We also explored the challenge many business leaders continue to wrestle with: how to balance autonomy with governance. As AI agents become more capable, maintaining visibility, accountability, and control becomes increasingly important. James shared why governance, trusted data, and strong business processes must remain at the center of every AI strategy. If you've been wondering whether enterprise AI is finally moving beyond the hype cycle and into meaningful business transformation, this conversation offers a fascinating perspective from the heart of SAP's AI strategy and its vision for the future of work. What role do you think AI agents will play inside your organization over the next few years? Share your thoughts.
Gary Shapiro has spent decades at the center of the global consumer technology industry, leading the Consumer Technology Association (CTA) and building CES into one of the most important stages for innovation, policy, and deal-making on the planet.In this first episode of 2026, Gary joins Charlie, Rony, and Ted to preview CES, unpack the explosion of AI across every category, and deliver unusually blunt takes on tariffs, China, manufacturing, and U.S. innovation policy. He explains how CES has evolved from a TV-and-gadgets show into a global platform where boards meet, standards are set, and policymakers, chip designers, robotics firms, and health-tech startups all collide.In the News: Before Gary joins, the hosts break down Nvidia's $20 billion “not-a-deal” with Singapore's Groq, the stake in Intel, and what that combo might signal about the edge of the GPU bubble and the shift toward inference compute, x86, and U.S. industrial policy. They also dig into Netflix's acquisition of Ready Player Me and what it suggests about a Netflix metaverse and location-based entertainment strategy, plus Starlink's rapid growth and an onslaught of “AI everything” products ahead of CES.Gary walks through new features at this year's show: CES Foundry at the Fontainebleau for AI and quantum, expanded tracks on manufacturing, wearables, women's health, and accessibility, plus an AI-powered show app already fielding thousands of questions (top query: where to pick up badges).He also talks candidly about his biggest concern—that fragmented state-level AI regulation (1,200+ state bills in 2025) will crush startups while big players shrug—and why he believes federal standards via NIST are the only realistic path. The discussion ranges from AI-driven healthcare and precision agriculture to robotics, demographics, labor culture, global supply chains, and what CES might look like in 2056.5 Key Takeaways from Gary:AI is now the spine of CES. CES 2026 centers on AI as infrastructure: CES Foundry at the Fontainebleau for AI + quantum, AI training tracks for strategy, implementation, agentic AI, and AI-driven marketing, and an AI-powered app helping attendees navigate the show.Fragmented state AI laws are an existential risk for startups. Over 1,200 state AI bills in 2025—including proposals to criminalize agentic AI counseling—could create a compliance maze only large incumbents can survive, which is why Gary argues for federal standards via NIST.Wearables are becoming systems, not gadgets. Oura rings, wrist devices, body sensors, and subdermal glucose monitors are starting to be designed as interoperable families of devices, with partnerships emerging to combine data into unified health services.Robotics is breaking out of the industrial niche. CES will showcase the largest robotics presence yet, moving beyond factory arms and drones to humanoids, logistics, social companions, and applied AI systems across sectors.Tariffs, alliances, and AI will reshape manufacturing. Gary is skeptical of “Fortress USA” strategies that try to onshore everything, pointing instead to allied reshoring (Latin America, Europe, Japan, South Korea) and the long-term role of AI-powered robotics in changing labor economics and global supply chains.This episode is brought to you by Zappar, creators of Mattercraft—the leading visual development environment for building immersive 3D web experiences for mobile headsets and desktop. Mattercraft combines the power of a game engine with the flexibility of the web, and now features an AI assistant that helps you design, code, and debug in real time, right in your browser. Whether you're a developer, designer, or just getting started, start building smarter at mattercraft.io. Hosted on Acast. See acast.com/privacy for more information.
In the fourth installment of the PE Insight Series, Todd Taskey hosts eight private equity executives about evaluating AI's impact on service businesses. In this episode… AI is changing how investors evaluate service businesses, from margin potential to long-term defensibility. When a company's work can be accelerated, enhanced, or replaced by AI, what separates a strategic advantage from a serious risk? Lee Minkoff, Larry Shagrin, Thomas Cooperrider, Stuart Coleman, Jamie Kennedy, Brian Schmidt, Bill Sommerschield, and Chad Scripps discuss how private equity firms evaluate AI's impact on new investments. With host Todd Taskey, they share how they assess proprietary data, workflow integration, customer relationships, margin expansion, and the risks facing companies that rely too heavily on repeatable processes.
From Tesla's Model 3 era to Waymo to founding LightSource, Spencer Penn has built at the frontier of transformation. In this episode, Sal Silvester and Spencer unpack what leaders can learn from radically different cultures (Tesla's “flat org, vertical power” vs. Waymo's “layered org, grassroots power”), the values he's building inside LightSource, and the real leadership challenge of pushing aggressive timelines without burning people out. We close with a grounded take on AI adoption—why most organizations are still early, what “AI strategy” should actually start with, and where automation is likely to hit first.
The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews: ERP Status Reporting Best Interview Moments (Kristin Valentyn, Karm Saliba, Greg Benton, Jeff Winter, & More) Follow the Money: Why ERP Projects Fail We also cover a number of other relevant topics related to digital and business transformation throughout the show.
For episode 300 of The Product Podcast, Carlos Gonzalez de Villaumbrosia sits down with Ajit Varma, Head of Firefox at Mozilla, the nonprofit behind the original challenger browser that pioneered browser tabs, pop-up blockers, and browser extensions. With 210 million active users and $826 million in annual revenue, Firefox is the only major independent, open-source browser still standing against Google Chrome's 68% share, Apple Safari's 17%, and a new wave of agentic browsers. Before Mozilla, Ajit spent six years at Meta leading monetization of WhatsApp and overseeing its business messaging platform. He has also held product roles at Google, Uber, and Square.What you'll learn:Why LLMs are making browsers more strategically important, and what that means for product teams building in an agentic worldWhy "trust us" is no longer enough, and how open source changes the standard for privacy in AI products- How to compete against trillion-dollar incumbents without abandoning your missionKey takeaways:Privacy claims without open-source inspectability are unverifiable, "trust us" is no longer a sufficient product strategy in the AI eraCompeting against trillion-dollar companies is possible when mission clarity defines what you refuse to optimize forThe agent-driven internet will either democratize access or concentrate it, product choices made today will determine whichSocial Links:Find out more about Product School hereFollow our Podcast on TikTok hereFollow Product School on LinkedIn here
Engineering teams are building ten times — even a hundred times — more than they could two years ago. That's a win, but one not without challenges. Because the cost of building the right thing has climbed exponentially. In this episode of the ServiceNow Insights podcast, host Bobby Brill sits down with three leaders who are living this tension from three distinct angles: the content and design leader who first spotted the productivity math problem, the design VP pushing for discernment over speed, and the research lead keeping the human at the center. ━━━━━━━━━━━━━━━━━━━━━━━━IN THIS EPISODE ━━━━━━━━━━━━━━━━━━━━━━━━ DAVID HOARE — Group VP, Digital Content & Design, ServiceNow ANAND THARANATHAN — Group VP, Product Research & Insights, ServiceNow DANTLEY DAVIS — SVP of Design, ServiceNow ━━━━━━━━━━━━━━━━━━━━━━━━ CHAPTERS━━━━━━━━━━━━━━━━━━━━━━━━ 0:00 Introduction & Guest Intros 1:13 David: The AI Philosophy — ChatGPT as genuine inflection point 3:02 David: Economic viability — why AI unlocks what was never possible before 3:12 Anand: Three-person startups scaling to $100M+ 3:45 Dantley: From 3D Studio Max to Jarvis — AI as human superpower 6:29 Anand: The customer north star hasn't changed 7:10 David: Engineering's survival problem — the 100x production gap 8:32 David: Andrew Ng's PM-to-engineer ratio + the cost of building wrong 9:40 Dantley: Nine concepts in an hour — design velocity and discernment 12:04 Dantley: The hip-hop tastemaker — slowing down as part of the process 14:20 David: Content governance — the fox guarding the hen house 16:21 Anand: Trust and the human-AI system 17:20 Dantley: AI surprise — UI tech stacks, feature completeness & hidden tech debt 20:21 18-Month Close — Anand, Dantley & David ━━━━━━━━━━━━━━━━━━━━━━━━ KEY TAKEAWAYS ━━━━━━━━━━━━━━━━━━━━━━━━ • Engineering is the first function to see massive AI productivity gains — but that creates a gap every other function has to survive • The cost of building has dropped. The cost of building the wrong thing has climbed exponentially • Discernment is the bottleneck — not speed. Nine concepts in an hour still needs a tastemaker • AI quality is only as good as the content signals it receives — governance is not optional • The customer north star hasn't changed. AI just changes how fast you can move toward it • Customer value is the only metric that matters. Everything else is the path to it ━━━━━━━━━━━━━━━━━━━━━━━━ ABOUT THIS PODCAST ━━━━━━━━━━━━━━━━━━━━━━━━ Subscribe for new episodes on AI, product, engineering, and the future of work. #ServiceNow #AI #ArtificialIntelligence #ProductDesign #SoftwareEngineering #ContentGovernance #DesignLeadership #AIStrategy #ProductManagement #EngineeringLeadership #TechLeadership #FutureOfWork #ServiceNowInsights #MachineLearning #Innovation #DesignThinking #TechPodcast #AIProductivity #DigitalTransformation #CustomerValueSee omnystudio.com/listener for privacy information.
Engineering teams are building ten times — even a hundred times — more than they could two years ago. That's a win, but one not without challenges. Because the cost of building the right thing has climbed exponentially. In this episode of the ServiceNow Insights podcast, host Bobby Brill sits down with three leaders who are living this tension from three distinct angles: the content and design leader who first spotted the productivity math problem, the design VP pushing for discernment over speed, and the research lead keeping the human at the center. ━━━━━━━━━━━━━━━━━━━━━━━━IN THIS EPISODE ━━━━━━━━━━━━━━━━━━━━━━━━ DAVID HOARE — Group VP, Digital Content & Design, ServiceNow ANAND THARANATHAN — Group VP, Product Research & Insights, ServiceNow DANTLEY DAVIS — SVP of Design, ServiceNow ━━━━━━━━━━━━━━━━━━━━━━━━ CHAPTERS━━━━━━━━━━━━━━━━━━━━━━━━ 0:00 Introduction & Guest Intros 1:13 David: The AI Philosophy — ChatGPT as genuine inflection point 3:02 David: Economic viability — why AI unlocks what was never possible before 3:12 Anand: Three-person startups scaling to $100M+ 3:45 Dantley: From 3D Studio Max to Jarvis — AI as human superpower 6:29 Anand: The customer north star hasn't changed 7:10 David: Engineering's survival problem — the 100x production gap 8:32 David: Andrew Ng's PM-to-engineer ratio + the cost of building wrong 9:40 Dantley: Nine concepts in an hour — design velocity and discernment 12:04 Dantley: The hip-hop tastemaker — slowing down as part of the process 14:20 David: Content governance — the fox guarding the hen house 16:21 Anand: Trust and the human-AI system 17:20 Dantley: AI surprise — UI tech stacks, feature completeness & hidden tech debt 20:21 18-Month Close — Anand, Dantley & David ━━━━━━━━━━━━━━━━━━━━━━━━ KEY TAKEAWAYS ━━━━━━━━━━━━━━━━━━━━━━━━ • Engineering is the first function to see massive AI productivity gains — but that creates a gap every other function has to survive • The cost of building has dropped. The cost of building the wrong thing has climbed exponentially • Discernment is the bottleneck — not speed. Nine concepts in an hour still needs a tastemaker • AI quality is only as good as the content signals it receives — governance is not optional • The customer north star hasn't changed. AI just changes how fast you can move toward it • Customer value is the only metric that matters. Everything else is the path to it ━━━━━━━━━━━━━━━━━━━━━━━━ ABOUT THIS PODCAST ━━━━━━━━━━━━━━━━━━━━━━━━ Subscribe for new episodes on AI, product, engineering, and the future of work. #ServiceNow #AI #ArtificialIntelligence #ProductDesign #SoftwareEngineering #ContentGovernance #DesignLeadership #AIStrategy #ProductManagement #EngineeringLeadership #TechLeadership #FutureOfWork #ServiceNowInsights #MachineLearning #Innovation #DesignThinking #TechPodcast #AIProductivity #DigitalTransformation #CustomerValueSee omnystudio.com/listener for privacy information.
What does strategy look like when the technology industry seems to change every few months? Recorded at Cisco Live, this episode features Ammar Maraqa, Cisco's Chief Strategy Officer, whose role spans corporate strategy, mergers and acquisitions, venture investments, technology incubation, strategic partnerships, and long-term planning. Few people have a broader view of where the technology industry is heading and how companies can position themselves for what comes next. During our conversation, Ammar shares why he believes many organizations are thinking about AI the wrong way. Rather than viewing it as a productivity tool or cost-saving exercise, he argues that AI represents a much deeper shift in how work gets done, how organizations operate, and how leaders should think about growth. We explore Cisco's approach to strategy in an era defined by constant disruption, including why the company focuses on testing assumptions rather than repeatedly changing direction. Ammar also explains how Cisco uses a combination of building, acquiring, partnering, investing, and incubating to accelerate innovation and stay close to emerging technologies. The discussion also examines what Cisco learns from engaging with startups, entrepreneurs, venture investors, customers, and partners around the world. From advances in AI infrastructure and silicon to agent orchestration, observability, security, and enterprise adoption, Ammar shares the themes he believes deserve the closest attention from business leaders today. We also discuss one of the biggest challenges facing organizations: the growing gap between what AI is capable of and what companies are actually prepared to adopt. Ammar explains why infrastructure, data, security, workflow redesign, and organizational change remain essential ingredients for success, regardless of how powerful the underlying models become. Along the way, he offers insights into business model disruption, the future of enterprise software, and why some companies successfully reinvent themselves while others struggle to adapt. If you're interested in strategy, innovation, AI adoption, or the forces shaping the next decade of enterprise technology, this conversation provides a thoughtful perspective from someone helping guide one of the industry's most influential companies through a period of extraordinary change. How often does your organization challenge the assumptions behind its strategy, and would those assumptions still hold true if you were making them today?
In today's Tech3 from Moneycontrol, a major Moneycontrol scoop gets officially confirmed as Sarvam raises $234 million and enters the unicorn club at a $1.5 billion valuation. We unpack why Anthropic's recent restrictions have reignited the sovereign AI debate and what it means for India's AI ambitions. We also look at venture capital's renewed interest in consumer startups, why IT firms are rethinking AI strategies after the Anthropic episode, and Razorpay's confidential IPO filing as India's startup listing pipeline continues to gather momentum.
Welcome to RealAg on the Weekend with your host Shaun Haney! On this week's show, Haney is joined by Ralph Goodale to talk about CUSMA, Chuck Penner of Leftfield Commodity Research to talk India and pulse exports, and Cory Willness of Croptimistic for a discussion on the federal government's AI strategy. Thoughts on something we... Read More
Welcome to RealAg on the Weekend with your host Shaun Haney! On this week's show, Haney is joined by Ralph Goodale to talk about CUSMA, Chuck Penner of Leftfield Commodity Research to talk India and pulse exports, and Cory Willness of Croptimistic for a discussion on the federal government's AI strategy. Thoughts on something we... Read More
Keith Kirkpatrick breaks down the market's negative reaction to Adobe's (ADBE) strong quarter, pointing to concerns around its freemium model and leadership changes. He highlights the long-term value of Adobe's AI strategy for enterprise customers, while noting investor focus on execution, including converting free users to paid subscribers and navigating the CFO's departure to Marvell (MRVL).======== Schwab Network ========Empowering every investor and trader, every market day.Subscribe 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
The latest In Touch With iOS with Dave he is joined by Jill McKinley, Chuck Joiner, Jeff Gamet, Eric Bolden, Marty Jencius, Guy Serle. WWDC 2026 is in the books, and the entire In Touch With iOS panel is back together to unpack everything Apple announced. We dive into Apple Intelligence, AI integrations, privacy, Liquid Glass, performance improvements, Vision Pro updates, child safety enhancements, HomePod support, and our early experiences with iOS 27 beta. Plus plenty of laughs, panel banter, and debate about Apple's future AI direction. The show notes are at InTouchwithiOS.com Direct Link to Audio Links to our Show Give us a review on Apple Podcasts! CLICK HERE we would really appreciate it! Click this link Buy me a Coffee to support the show we would really appreciate it. intouchwithios.com/coffee Another way to support the show is to become a Patreon member patreon.com/intouchwithios Website: In Touch With iOS YouTube Channel In Touch with iOS Magazine on Flipboard Facebook Page BlueSky Mastodon X Instagram Threads Summary Dave Ginsburg is joined by Jeff Gamet, Chuck Joiner, Guy Serle, Marty Jencius, Jill McKinley, and Eric Bolden for a full WWDC 2026 recap. The panel breaks down Apple's biggest announcements, including the company's new AI strategy, the evolution of Apple Intelligence, and why integrating AI directly into the operating system may be Apple's smartest move yet. The discussion explores Apple's partnership with external AI models while maintaining privacy and platform control, plus reactions to the live AI demonstrations shown during the keynote. The group also dives into Apple's redesigned Liquid Glass interface, performance improvements across iOS 27, iPadOS 27, macOS Tahoe, and visionOS 27, along with numerous hidden features Apple didn't have time to showcase. Vision Pro receives notable updates including panorama-based immersive environments and enhanced widgets, while HomePod continues to gain support despite its age. One of the most discussed segments focuses on Apple's extensive child safety and parental control enhancements. The panel examines how Apple is giving parents more tools while maintaining user privacy and potentially getting ahead of future government regulations. The episode wraps up with lighter discussion around the new option to remove the Messages dictation button, performance gains throughout Apple's platforms, and what beta testers can expect as iOS 27 continues to evolve. Topics and Links WWDC Recap Topics Covered * WWDC 2026 keynote reactions * Apple Intelligence and AI strategy * Apple's partnership with external AI models * Privacy-first AI implementation * Real-world AI demos and performance * Liquid Glass design updates * Accessibility and transparency controls * Faster app launches and system performance * Vision Pro and visionOS 27 improvements * Panorama-based immersive environments * HomePod support and future outlook * Messages app customization updates * Expanded child safety protections * Enhanced parental controls * Family account management tools * Early impressions of iOS 27 beta Apple Intelligence update Jeff will review his blog post. https://jeffgamet.com/apples-ai-strategy-is-starting-to-look-a-lot-smarter/ Apple unveils innovative features and intelligence experiences across services Craig Federighi Explains Why Apple Pivoted to a Siri Chatbot App Segment 2 The Hidden Features Apple Didn't Demo The Features List was enormous! Apple Shares List of 250 Changes Across iOS 27, macOS Golden Gate, and More In Touch With Vision Pro this week. visionOS 27 added features visionOS Panorama environments visionOS Extra-small widgets visionOS Spatial scenes from panoramas visionOS Enhanced Flyover visionOS Smoother scrolling Child Safety Features in iOS 27 Other Topics iOS 27 Brings New Functionality to HomePod - MacRumors iOS 27 Lets You Disable the iPhone Feature Justin Bieber Complained About Chuck Joiner
Amanda Galbraith, co-founder and president of Oyster Group, and David Coletto, founder and chair of Abacus Data, join Sean Speer to discuss the Carney government's artificial intelligence strategy and online harms legislation. They examine Canadian attitudes toward AI adoption and debate the merits of restricting social media access for youth under 16.In the second half, they analyze whether Prime Minister Carney has reached peak popularity and the political challenges of regulating digital platforms while maintaining a governing coalition amid economic uncertainty and growing caucus tensions.If you are enjoying the free version of the Hub Politics, subscribe to become a Hub Hero or Fellow to access the full version every week: https://thehub.ca/join/The Hub is Canada's fastest growing independent digital news outlet. Subscribe to The Hub's podcast feed to get our best content when you are on the go:https://tinyurl.com/3a7zpd7e (Apple) https://tinyurl.com/y8akmfn7 (Spotify)Follow The Hub on X: https://x.com/thehubcanada?lang=enCREDITS:Elia Gross - ProducerAmal Attar-Guzman - Editor Sean Speer - Host Hosted on Acast. See acast.com/privacy for more information.
Are you looking at AI through a rearview mirror and making the same mistakes every generation makes during technological change? Everywhere you turn, people are predicting what AI will do to jobs, leadership, and business. The problem? Nobody really knows. In this episode, Bradley Hartmann explores Marshall McLuhan's groundbreaking book The Medium Is the Massage and reveals why today's AI debates sound remarkably similar to conversations that happened decades ago around television, integrated circuits, and the Internet. If you're a leader trying to make sense of rapid change without getting caught up in fear or hype, this episode offers a refreshing perspective. In this episode you will Discover why every generation believes its technological disruption is different and why history suggests otherwise. Learn McLuhan's powerful concept that technology doesn't just help us; it changes how we think, communicate, and lead. Understand how curiosity, experimentation, and dialogue can help leaders navigate uncertainty more effectively than predictions and fear. Listen now to gain a practical framework for leading confidently through AI uncertainty and technological change without losing focus on what matters most. At Bradley Hartmann & Company, we help construction teams improve sales, leadership, and communication by reducing miscommunication, strengthening teamwork, and bridging language gaps between English and Spanish speakers. To learn more about our product offerings, visit bradleyhartmannandco.com. The Construction Leadership Podcast dives into essential leadership topics in construction, including strategy, emotional intelligence, communication skills, confidence, innovation, and effective decision-making. You'll also gain insights into delegation, cultural intelligence, goal setting, team building, employee engagement, and how to overcome common culture problems—whether you're leading a crew or managing an entire organization. Have topic ideas or guest recommendations? Contact us at info@bradleyhartmannandco.com. New podcasts are dropped every Tuesday and Thursday. This episode is brought to you by The Construction Spanish Toolbox —the most practical way for construction teams to learn jobsite-ready Spanish in just minutes a day over 6 months.
Biotech Bytes: Conversations with Biotechnology / Pharmaceutical IT Leaders
AI is moving incredibly fast across the life sciences sector, but many organizations still struggle to build systems that deliver real operational value. In this episode, tech leader Rose LaRocca-Fisch explains why strong data governance and business alignment must come before chasing software trends. Please visit our website to get more information: https://swangroup.net/ Rose shares her practical leadership experience guiding pharmaceutical companies, CDMOs, and global biotech organizations through massive growth. The discussion breaks down why high-profile tech implementations collapse and outlines the exact steps needed to prepare your infrastructure for enterprise-grade tools.Key themes covered in this conversation:Why does advanced software amplify existing operational flaws instead of fixing themThe OASIS framework for sustainable and scalable IT transformationHow data readiness directly impacts clinical trial success and manufacturing yieldsReal-world applications using platforms like Databricks to speed up patient enrollmentThe shift toward AI-assisted work and managing data integrity risksLinks from this episode:Get to know more about Steven Swan: https://www.linkedin.com/in/swangroup Get to know more about Rose LaRocca-Fisch: https://www.linkedin.com/in/rose-larocca-fisch
Directions analyst David Berry sifts through the AI strategy announcements from Microsoft Build and discusses with Mary Jo Foley the potential impact on enterprises customers.
The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews: When Output Becomes Unlimited, Judgment Becomes Priceless What Machines Can't Replace (Jim Koetting) You're Not the Hero — You're the Guide We also cover a number of other relevant topics related to digital and business transformation throughout the show.
In today's Cloud Wars Minute, I analyze how Sana is helping Workday transform from a system of record into a system of action. Highlights 0:00 — Workday has announced two new agents: Sana for IT Service Management, or ITSM, and Sana Travel Agent. To recap, Workday acquired Sana at the end of 2025, and since then, the technology has evolved into Workday's employee AI layer, what the company describes as its "front door for work." 0:42 — Sana for ITSM automates workflows for tasks like employee onboarding, off-boarding, access changes, and standard IT requests, while the Sana Travel Agent helps employees plan work trips, book travel, and manage expenses. Both agents are built directly on Workday, meaning they have the same security and governance protocols by default, and tap into the bespoke contextual company data and policy information contained within the platform. 00:57 — Cloud Wars founder Bob Evans commented on the development in the official Workday press release: "Extending agents into adjacent workflows like onboarding, travel, and expenses, where Workday already has the people and finance data and policies, is not only practical but also a transformational way to help HR and finance leaders meet and exceed their objectives." 01:25 — Workday's acquisition of Sana was a pivotal moment in the company's recent history and accelerated its push in the enterprise AI era. The deal signaled a strategic evolution beyond Workday's traditional role as a system of record for HR and finance processes. 01:44 — At the same time, that deep system of record foundation is exactly what makes Sana's autonomous AI agents such a strong fit, because the agents can operate with rich context, permissions, policy, and workflow data already embedded within the platform. Visit Cloud Wars for more.
In this episode of Future Finance, Paul Barnhurst and Glenn Hopper sit down with Dave Trier, CEO of ModelOp, to discuss how enterprises can govern, manage, and operate AI at scale. Dave shares insights on implementing AI responsibly, tracking ROI, managing risks, and creating an enterprise-wide AI portfolio that drives value while ensuring compliance and governance.Dave Trier leads ModelOp with a focus on customer value, product innovation, and enterprise execution. With over 20 years in data science, AI, analytics, cloud, and enterprise software, he brings technical expertise and a pragmatic leadership style, helping CIOs, CTOs, and AI leaders deploy AI effectively across organizations .In this episode, you will discover:How enterprises can scale AI responsibly and reliablyThe CFO's role in AI oversight and portfolio managementMeasuring AI value through ROI, usage, and internal feedbackDistinctions between AI governance and traditional data governanceImportance of change management and structured AI adoptionDave provides a framework for enterprise AI adoption, emphasizing disciplined management, measurable impact, and alignment with regulatory and operational requirements. This episode is essential for finance and tech leaders looking to integrate AI at scale while ensuring oversight, efficiency, and business value . Follow Dave:Website: https://www.modelop.com/LinkedIn: https://www.linkedin.com/in/davidetrier/Follow Glenn:LinkedIn: https://www.linkedin.com/in/gbhopperiiiFollow Paul:LinkedIn: https://www.linkedin.com/in/thefpandaguyFollow QFlow.AI:Website - https://bit.ly/4i1EkjgFuture Finance is sponsored by QFlow.ai, the strategic finance platform solving the toughest part of planning and analysis: B2B revenue. Align sales, marketing, and finance, speed up decision-making, and lock in accountability with QFlow.ai. Stay tuned for a deeper understanding of how AI is shaping the future of finance and what it means for businesses and individuals alike.In Today's Episode:[00:00] – Trailer[02:38] – AI Compliance & Governance Challenges[04:35] – Distinction Between AI & Data Governance[07:28] – Measuring AI Value & ROI[12:41] – Treating AI as a Portfolio of Investments[15:05] – Change Management & Enterprise Adoption[17:39] – Wild West of AI & Need for Rigorous Processes[18:54] – CFO Oversight in AI Implementation[21:00] – Closing Remarks
See what the team at The Successful Bookkeeper has on right now → AI is moving fast, and the bookkeeping profession is squarely in its path — but not in the way most people fear. In this episode, Michael Palmer sits down with AI strategist and educator Benjamin Tasker to talk about what the shift actually looks like on the ground, which skills will separate bookkeepers who thrive from those who stall, and how to start building your own AI system without a data science degree. Chapters [00:00] Welcome and Ben's Background [03:15] From Data Science to AI Education [08:00] AI's Real Impact on Bookkeeping [12:00] Human Judgment as the Key Check [15:30] Skills That Separate Thriving Bookkeepers [21:00] Data, Systems, and AI Strategy [25:00] Opportunities to Move Up the Value Chain [29:00] First Steps for Integrating AI [32:00] Client Expectations and Transparency [35:00] Fear, Mindset, and Where to Find Ben AI Will Elevate Bookkeeping, Not Replace It Ben is direct about the headline fear: bookkeepers are not going away. "AI will help elevate what a bookkeeper does," he says. The repetitive work — transaction coding, receipt capture, anomaly detection, drafting reports — gets absorbed by AI, which frees up the bookkeeper to move from data entry to data judgment. Think less time in the books and more time coaching clients on their financial pain points. AICPA and Intuit both point in the same direction: the future of the role looks a lot more like analytics and advisory than data input. The Two Skill Lanes Every Bookkeeper Should Know Ben references the World Economic Forum's skills taxonomy, which divides skills into two tracks. AI skills — analytical thinking, systems thinking, coding — pay a premium today, but AI will eventually encroach on those. Human skills — communication, empathy, leadership — are undervalued right now but will command a premium as AI can only mimic, never genuinely replace, them. "AI can put on a facade of empathy and compassion, but it really can't have it because it's robotic." For bookkeepers, the practical focus areas are AI supervision (checking outputs rigorously), advisory thinking, digital and data fluency, and transparent client communication. The Human in the Loop Is Not Optional Ben's background in healthcare data — building algorithms to predict sepsis risk from bedside monitors — gives him a sharp view on why human validation matters. A small data error that goes unchecked can cascade into a much larger problem. "A mistake, especially for a small business owner, could cost tens of thousands of dollars." Bookkeepers already understand this: the work is either right or it isn't. That precision mindset is exactly what responsible AI use demands, and it is a genuine competitive advantage for practitioners who carry it into their AI workflows. Data Is the Oil — Build a System, Not Just a Stack of Tools One of Ben's clearest points: buying an AI tool is not an AI strategy. The framework he outlines is straightforward — start with your data (client records, call transcripts, templates, Google Sheets), run it through a system you build and control, apply AI to it, then validate and iterate. "Just because you buy an AI tool doesn't mean you have an AI strategy or even an AI business." He encourages bookkeepers to build their own processing systems rather than relying entirely on third-party integrations that can change without warning. Start small — something as simple as having AI draft follow-up emails from call transcripts is a low-risk, high-value first step. Practical First Steps and Client Communication For bookkeepers ready to start, Ben's advice is to pick a low-stakes problem, solve it, and let that build confidence. Use AI to profile prospective clients from call transcripts, automate follow-up reminders, or create a client-facing dashboard from existing data. On the client side, transparency is non-negotiable: communicate that you are using AI, explain how it benefits them, and teach them how to give better inputs so they get better outputs. "By providing inputs and encouraging your customers to use AI to show them the benefits of it, they're going to become less resistant over time." That kind of teaching deepens the client relationship well beyond what traditional bookkeeping alone can offer. Links Mentioned Ben Tasker AI: bentaskerai.com Ben Tasker on LinkedIn World Economic Forum Skills Taxonomy (AI skills and human skills tracks) The Successful Bookkeeper Pure Bookkeeping About the Guest Benjamin Tasker is an AI strategist, educator, and speaker with over 10 years of experience in data science and artificial intelligence. His background spans healthcare predictive analytics, higher education, and enterprise AI strategy. Today he helps entrepreneurs and large organizations build the skills and systems they need to navigate the AI revolution. You can find his prompting frameworks, podcast appearances, and upcoming events at bentaskerai.com. About the hostMichael PalmerMichael Palmer is the host of The Successful Bookkeeper podcast and co-founder of Pure Bookkeeping and The Successful Bookkeeper. He started this work because of his father — a brilliant electrical contractor who worked twice as hard as he should have had to, because nobody on the financial side was in his corner. That gap is what The Successful Bookkeeper exists to close. His view: bookkeepers are the most undervalued force in small business — and every bookkeeper who builds a real business changes two families: theirs, and their clients'.
Nonprofits may be using AI, but how can they go beyond the surface level of basic prompts to leverage the tools necessary to make an impact on their missions and achieve their goals? In this episode of the “Go Beyond Fundraising” podcast, CEO Trent Ricker and Raney John, VP of AI Strategy and Success, dig into what it means to move beyond AI experimentation and begin using it as a practical, mission-driven tool. From donor stewardship and grant research and writing to volunteer training, reporting, and website strategy, Trent and Ren break down real-world ways nonprofits are already using AI to create efficiency, increase capacity, and strengthen human connection – without replacing it. The discussion also explores leadership, organizational culture, governance, and the importance of staying curious as AI tools evolve at a rapid pace. Wherever your organization is with AI, this conversation offers practical insights, examples, and leadership advice to help nonprofits navigate one of the biggest technology shifts in decades.
What if the biggest challenge with AI isn't the technology itself, but how it makes people feel? Lately, almost every conversation I'm having with clients comes back to AI. Not surprisingly, it's dominating boardroom discussions, strategy sessions, and innovation agendas everywhere. But what fascinates me most isn't the technology. It's the human response to it. In this solo episode, I'm talking about something I believe doesn't get nearly enough attention in the AI conversation: empathy. I recently read that companies like Anthropic are hiring storytellers at salaries approaching half a million dollars a year. That caught my attention. Why would one of the world's leading AI companies place such a premium on storytelling? Because even the most advanced AI still struggles to create the kind of human connection that comes naturally through empathy, understanding, and authentic communication. As organizations rush to implement AI tools, I'm hearing the same concerns again and again. Employees are being asked to trust systems they don't fully understand. Leaders are under pressure to move faster than ever before. Customers are interacting with AI-powered experiences that often feel efficient but strangely hollow. That's why I believe empathy isn't a soft skill anymore. It's a business strategy. In this episode, I share why so many AI initiatives struggle with adoption, even when the technology works perfectly and the business case is clear. I talk about the hidden cost of asking people to abandon the systems and expertise they've spent years mastering. More importantly, I explain why resistance to change is rarely about stubbornness and almost always about self-preservation. When we ask people to adopt new AI tools, we're often asking them to give up something deeply valuable: the confidence that comes from mastery. That's a much bigger ask than most leaders realize. I'll also share practical ways to bridge what I call the empathy chasm, helping teams feel supported rather than threatened, involved rather than replaced, and excited rather than overwhelmed. If there's one thing I've learned from working with innovators around the world, it's that people don't resist technology. They resist feeling disconnected from the reason behind the change. How are you bringing empathy into your AI strategy, and are you doing enough to bring the humans along on the AI journey?
Welcome and thanks for tuning in to RealAg Radio with your host Shaun Haney! On this Tuesday edition of the show, Haney breaks down last week’s poll results on how often the RealAg audience generates farm financial statments, and speaks to Chuck Penner of Leftfield Commodity Research on the canola markets and pulse exports, and... Read More
Welcome and thanks for tuning in to RealAg Radio with your host Shaun Haney! On this Tuesday edition of the show, Haney breaks down last week’s poll results on how often the RealAg audience generates farm financial statments, and speaks to Chuck Penner of Leftfield Commodity Research on the canola markets and pulse exports, and... Read More
AI is changing how people discover, evaluate, trust, buy, create, hire, and compete. The bigger question is whether your business model is built to survive a future where attention is fragmented, trust is harder to earn, execution is easier to automate, and buyers have more options than ever. Learn how to activate the M.A.S.S. Effect Business Model, a strategic ecosystem built around: • Media to create attention, trust, authority, and discoverability • Assets to create scalability, leverage, and income beyond your direct time • Strategy to create clarity, alignment, interpretation, and better decisions • Systems to reduce friction, support consistency, and keep the business moving Many businesses are addicted to acquisition because they never built retention. In an AI accelerated world, that becomes dangerous because information is easier to access, skills are being compressed, and execution is becoming automated. The real value now shifts toward trust, experience, clarity, influence, systems, and community. The future belongs to adaptive businesses that can evolve with the market, keep customers connected, turn trust into retention, and scale without breaking the founder, team, or customer experience. If your business grew tomorrow, could it actually hold the growth, or would the model collapse under the weight of what you asked for? Beyond The Episode Gems: Buy Troy's Book, Strategize Up: The Blueprint To Scale Your Business StrategizeUpBook.com Discover All Podcasts On The HubSpot Podcast Network Get Free HubSpot Marketing Tools To Help You Grow Your Business Grow Your Business Faster Using HubSpot's CRM Platform Support The Podcast & Connect With Troy: Rate & Review iDigress: iDigress.fm/Reviews Follow Troy's Socials @FindTroy: LinkedIn, Instagram, Threads, TikTok Subscribe to Troy's YouTube Channel For Strategy Videos & See Masterclass Episodes Need Growth Strategy, A Keynote Speaker, Or Want To Sponsor The Podcast? Go To FindTroy.com
Host Piya Chattopadhyay speaks with University of Ottawa's Michael Geist, tech critic and journalist Paris Marx and Benjamin Bergen from the Canadian Venture Capital and Private Equity Association about whether Canada's new artificial intelligence strategy hits the mark.Fay Bound-Alberti, a historian and founder of King's College London's Centre for Technology and the Body, explains how technology has long shaped our relationship with our face.Author, sociologist and former University of Toronto soccer team captain, Darragh McGee, lays out why he believes legal online betting is "hijacking" sports.Our monthly challenge That's Puzzling! returns with Chris Glover, the new host of CBC Toronto's morning radio show Metro Morning, and Denman Island, B.C. listener Nairn Stewart.
Iran and the U.S. remain locked in a dangerous standoff over the Strait of Hormuz that could drag on for weeks. How does this end? What pressure points could force either side to negotiate in good faith? Meanwhile, Iran continues to strike American allies across the region without a meaningful U.S. military response. What message does that send about the credibility of America's security guarantees?In the second half of the show, Rudyard and Janice examine the government's new AI strategy. Filled with promises of sovereignty, privacy, and transparency, it may sound reassuring on paper—but where is the plan to counter the growing power of the tech giants that control this technology? Talk of sovereign AI and stronger privacy rules is meaningless without a strategy to compete with companies that are increasingly viewed as strategic assets of the U.S. government.And while Ottawa talks about AI, it continues to ignore the deeper reforms needed to unlock growth: tax reform, regulatory reform, and stronger competition policy. Canada cannot build an AI economy without first addressing the structural barriers holding back its broader economy.Become a Munk Donor ($50 annually) to get 72-hour advanced access to the full length editions of Friday Focus and Munk Dialogues. Go to www.munkdebates.com to sign up. Hosted on Acast. See acast.com/privacy for more information.
Canada has released its long-awaited national artificial intelligence strategy. It comes as a significant portion of the country feels uneasy about what impact the technology will have. Evan Solomon, Minister of Artificial Intelligence and Digital Innovation, speaks with Jayme Poisson about AI safety and the potential for job losses.
We dig into what the federal government's plan is for Artificial Intelligence in Canada.
Hezbollah rejects a U.S.-brokered Israel-Lebanon ceasefire, the U.S. House passes an Iran War Powers resolution, Trump taps Todd Blanche as attorney general, China bans four New Zealand lawmakers for visiting Taiwan, John Bolton reportedly plans to plead guilty to mishandling secret documents, the U.S. Senate debates a $70 billion ICE funding bill, the BBC apologizes to Nigel Farage for misquoting him on Henry Novak's murder, the EU unveils a tech sovereignty package, a Gallup poll finds that same-sex marriage support has dropped to 65%, and Canada launches an "AI for All" national strategy. Sources: Verity.News
The Prime Minister unveils a new AI strategy that he says will help Canada catch up with the rest of the world. Our guest says it's a start, but it could use some fine-tuning. Hezbollah has rejected a ceasefire deal brokered between Israel and Lebanon; our guest in Beirut tells us people there were already referring to it as a "less-fire" anyway. A protestor in Albania tells us a crucial stopover for migrating birds is in danger of being destroyed — because Jared Kushner and Ivanka Trump want to build a resort. Trixie and Nacho have been busy getting busy — which is great, because the prolific parakeet couple are almost singlehandedly rebuilding New Zealand's kākāriki karaka population.A scientist explains how the late Nobel Prize-winning physicist Richard Feynman devised a mathematical solution to the eternal question: stick with your favourite restaurant, or risk trying somewhere new?Blanket forts aren't just a quilt draped over some stuffed animals on the couch anymore — now that some students in Las Vegas have definitively shattered the world record for building the biggest one ever."As It Happens", the Thursday Edition. Radio that's usually suspicious of blanket statements.
Prime Minister Mark Carney says he uses AI – and he's hoping more Canadians will soon use it too. Carney unveiled his government's long-awaited strategy on artificial intelligence. It includes spending up to $2 billion to maximize the benefits, prevent the harms, and give Canada more control over how our data is used.And: Scaling up on AI means more data centres. Canada has just five large scale centres so far, and there are plans for nearly 100 more… but there's pushback in Alberta, where most of the centres are being planned.Also: There apparently IS enough aviation fuel for flights. That message is now coming from some major airlines, weeks after scarce supply warnings prompted thousands of flight cancellations.Plus: Lebanon-Israel ceasefire, Alberta separation and treaty rights, and more.
You know the moment. Your project plan is solid. The scope is defined. The team is ready. Then an executive walks by and casually asks: "Can we just make this AI?" Suddenly you're no longer managing a project. You're managing expectations, buzzwords, corporate excitement, and whatever article someone just read on the flight home from a conference. In this episode, Kim and Kate tackle the question nearly every project manager is hearing right now: What's your AI strategy? They discuss why this isn't the first technology hype cycle we've lived through, how to respond when leaders want AI without knowing what they actually want AI to do, and why saying "yes" doesn't mean committing to anything. Along the way, they unpack executive AI buzzwords, governance concerns, AI productivity myths, vibe coding, project management tools, and where AI genuinely helps versus where it's mostly creating noise. Most importantly, they share practical ways to stay credible, keep your projects grounded, and avoid getting swept up in the latest technology frenzy. So grab a drink, pull up your RAID log, and let's talk about surviving the AI gold rush without losing your mind.
The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews: Organizations Will Struggle To Keep Up SAP Sapphire Conference Takeaways (Scott Hays (VP, Product Marketing – Support) & Krista Glantschnig (Product Marketing Director) from Rimini Street) What SAP & Epicor Revealed We also cover a number of other relevant topics related to digital and business transformation throughout the show.
98% of patients welcome AI in their care — and still want a human in charge. That tension ran through the OECD and Spanish Ministry of Health conference on scaling AI in health (Madrid, late May 2026), and it frames this episode of Faces of Digital Health. Out of 38 OECD countries, only seven have a formal AI strategy and just over a tenth run workforce upskilling programmes — the ambition is outrunning the institutions meant to govern it. Host Tjaša Zajc brings together voices from across the conference to ask what actually has to change: regulation, trust, who gets a seat at the table, and the parts of the agenda nobody is funding. Featuring: - Eric Sutherland — Senior Economist, OECD - Aferdita Bytyqi — Executive Director & Founding Partner, Digital Transformations for Health Lab (DTH-Lab) - Erza Selmani — Research Fellow, DTH-Lab - Valentina Strammiello — Executive Director, European Patients Forum (EPF) - Dr Ricardo Baptista Leite — CEO, HealthAI (the Global Agency for Responsible AI in Health) - Dr Persephone Doupi — Senior Medical Officer, Finnish Institute for Health and Welfare; President, European Federation for Medical Informatics (EFMI) What the conversation covers: - Why trust — not capability — is the binding constraint on health AI adoption - The OECD readiness gap: AI strategies, HTA frameworks and workforce upskilling - How patients really feel about AI: consent forms, transparency, and keeping clinicians central - Why youth health and wellbeing keep getting left out of AI governance frameworks - Five recommendations to make the EU AI Act work for health and competitiveness - Coordinating the EU AI Act, MDR/IVDR and the European Health Data Space - Health technology assessment and reimbursement as the real barriers to scale - AI literacy and prevention: the most underweighted lever in the room Chapters: 0:10 — Welcome: AI in Health & the 2026 OECD Conference in Madrid 0:25 — Key Stats: Only 7 of 38 OECD Countries Have a Formal AI Strategy 2:10 — Eric Sutherland (OECD): We're Not Using Data as Effectively as We Could 3:11 — Afrodita & Erza (DTH Lab): Youth Health Is Missing from AI Governance Frameworks 5:12 — Valentina Stramello (EPF): 98% of Patients Are Positive About AI, But Trust Requires Transparency 7:14 — Dr. Ricardo Baptista Leite (Health AI): 5 Recommendations to Fix EU AI Policy for Health 10:53 — Persephone Doupi (EFMI): We Must Prioritize AI Literacy and Shift Healthcare Toward Prevention —
Scott Duffy's entrepreneurial journey is proof that success rarely follows a predictable roadmap. In this episode of Inventive Journey with Devin Miller, Scott shares an incredible story that spans hot dog stands, catastrophic setbacks, Tony Robbins, Silicon Valley startups, internet media companies, and the rise of artificial intelligence.Scott's story starts in Los Angeles where his father intentionally pushed him toward responsibility early in life. Working at hot dog stands and catering events taught him customer service, accountability, and work ethic before most teenagers even understand what taxes are. Eventually he found himself selling quiche at a food cart in Century City, which may be one of the least glamorous but most educational entrepreneurial beginnings imaginable.After graduating high school, Scott attended the University of San Diego where a simple piece of networking advice changed everything. He built relationships with the university's career counseling department early and that eventually opened the door to AAA Student Painters. There, Scott learned real entrepreneurial skills including hiring, operations, billing, customer service, inventory management, and leadership.Then came a life-changing tragedy.During a trip to Mexico in college, Scott was involved in a devastating car accident that left him with brain hemorrhages and forced him to leave school temporarily. Recovery became one of the hardest periods of his life. Unable to comfortably read or watch television, Scott spent his days listening to motivational audio programs from icons like Jim Rohn, Zig Ziglar, Brian Tracy, and Tony Robbins.That unexpected detour eventually led him to apply for an internship with Tony Robbins. Instead of an internship, he was offered a job.Working alongside Tony Robbins during the early growth years of the company transformed Scott's perspective on mindset, communication, sales psychology, and business development. One of the most valuable lessons he learned involved understanding customer psychology through deeper questioning. Scott explains why simply asking customers what they want is not enough and how businesses must understand how customers define value personally.The episode also dives into Scott's entrance into Silicon Valley during the earliest days of the commercial internet. At a time when most people barely understood what the internet even was, Scott recognized massive opportunity emerging in the Bay Area.With almost no money, he couch surfed throughout San Francisco trying to break into tech startups. Eventually he ran out of cash entirely and found himself sleeping in his car outside Oracle headquarters during a rainstorm while deciding whether to give up or keep pushing forward.Then came the legendary pizza-resume strategy.Scott used his last few dollars to buy discounted leftover pizzas, stuffed his resume underneath the cheese, and delivered them to startup offices. The unconventional approach worked because it stood out in a world already crowded with generic resumes and predictable networking tactics.That creative gamble helped launch Scott into internet startups that later became major media brands including CBSsports.com and other high-growth digital companies during the dot-com era.The conversation then shifts toward artificial intelligence and why Scott believes AI mirrors the early internet revolution. Having entered AI years before mainstream adoption accelerated, Scott now works with organizations around the world helping them become AI fluent and avoid falling behind technologically.One of the most powerful themes throughout the interview is focus.Scott shares his “hammers and nails” analogy to explain why entrepreneurs fail when they spread themselves too thin.To chat about this one-on-one, grab a free consult at strategymeeting.com
In this episode of Future Finance, Paul Barnhurst and Glenn Hopper sit down with Dave Trier, CEO of ModelOp, to explore the challenges and opportunities of implementing AI at scale in enterprises. Dave shares how organizations can manage AI responsibly, measure ROI, and move from scattered pilots to a disciplined, industrialized approach. He also discusses the critical role of CFOs in AI oversight, change management, and creating measurable business value from AI initiatives Dave Trier is CEO of ModelOp, leading the company with a focus on customer value, product innovation, and enterprise execution. With over 20 years of experience across AI, data science, analytics, cloud, and enterprise software, Dave is a patent-holder and trusted partner to CIOs, CTOs, and AI leaders. Prior to becoming CEO, he shaped ModelOp's product strategy and held senior roles at Think Big Analytics, Powered by Action, and Accenture Technology Labs. He holds a BS in Electrical Engineering from the University of Notre Dame. In this episode, you will discover:How to industrialize AI delivery across an enterpriseManaging risk, governance, and compliance for AI implementationsMeasuring AI ROI using financial, feedback, and usage metricsThe CFO's role in AI oversight and rationalizing AI investmentsKey lessons for change management and process discipline in AI adoptionDave Trier highlights how enterprises can move from scattered AI pilots to a disciplined, industrialized approach that delivers measurable business value. He emphasizes the importance of governance, change management, and cross-functional collaboration to ensure AI initiatives succeed. CFOs play a key role in oversight, setting financial parameters, and rationalizing AI investments. Follow Dave:Website: https://www.modelop.com/LinkedIn: https://www.linkedin.com/in/davidetrier/Follow Glenn:LinkedIn: https://www.linkedin.com/in/gbhopperiiiFollow Paul:LinkedIn: https://www.linkedin.com/in/thefpandaguyFollow QFlow.AI:Website - https://bit.ly/4i1EkjgFuture Finance is sponsored by QFlow.ai, the strategic finance platform solving the toughest part of planning and analysis: B2B revenue. Align sales, marketing, and finance, speed up decision-making, and lock in accountability with QFlow.ai. Stay tuned for a deeper understanding of how AI is shaping the future of finance and what it means for businesses and individuals alike.In Today's Episode:[00:00] – Trailer[02:07] – Meet Dave Trier, CEO of ModelOp[04:57] – ModelOp & AI Governance Explained[06:21] – AI vs Data Governance[08:11] – Evaluating AI ROI for CFOs[13:24] – AI as a Managed Investment Portfolio[16:43] – Change Management & Process Discipline[20:48] – CFO's Role in AI Oversight[27:38] – Tips to Maximize AI ROI[30:16] – Enterprise AI Complexity & Coordination[32:13] – Dave's Journey: Electrical Engineer to AI CEO[35:12] – Closing Thoughts
Send us Fan MailWhat does it actually take to lead in an era where artificial intelligence is reshaping every industry, every role, and every assumption about how work gets done? On this episode of Navigating the Customer Experience, Yanique Grant sits down with Jack Jendo, founder of BrainDigits, AI strategist, and author of Lead Forward, to explore what the future workplace really looks like and why leadership is the most important skill you can develop right now.Jack brings a perspective shaped by years of working across the Middle East, Europe, and Australia, building AI-powered programs for governments, corporations, and startups. His message is clear: AI is not just a tool. It is a mindset shift, and leaders who understand this will be the ones who define what comes next.WHAT YOU WILL LEARN IN THIS EPISODEJack shares the journey that took him from juggling three jobs during university to running agencies across multiple continents and founding BrainDigits. He talks about why he wrote Lead Forward, a book designed for three types of people he encounters every day: entrepreneurs who are just getting started, senior professionals who feel like their career is winding down when it does not have to be, and leaders in the middle who feel pressure but lack clarity.Jack also introduces a concept that reframes how leaders can use AI: the Digital Twin. Rather than using AI as a general assistant, Jack trains specialized AI versions of himself, one for brainstorming, one for financial strategy, one for business development. He has been building and refining these tools for years, and the result is a thinking partner that reflects his values, his frameworks, and his way of approaching problems.THE FUTURE WORKPLACE: AI FIRST OR AI ENABLED?Jack places AI in the same category as transformative inventions like the printing press and the internet. Each of those disrupted every industry it touched. AI is doing the same. But the change is not primarily about tools. It is about mindset and clarity.He describes two futures emerging for organizations. The first is a company that adopts AI aggressively without understanding what it is doing, relying on automation without the human judgment to direct it. That organization will struggle. The second is a company led by people who know exactly what they need, who operate with ownership and freedom, and who use AI to remove friction and accelerate execution. That is the organization every leader should be building toward.AI IS THE NEW LEADERSHIP SKILLJack and Yanique explore what it means to treat AI as a leadership skill rather than a software category. His view is that every task with a clear process can now be handled by AI. What cannot be automated is knowing what needs to be done, deciding the direction, and leading people through change.The leaders who will thrive are those who invest in training their AI tools the same way they would develop a trusted assistant. Not with generic prompts, but with context, values, goals, and frameworks. That investment is what turns a general tool into something genuinely useful.Jack shares that his two primary tools are ChatGPT, where he has trained a custom model called TwinJack over four years for brainstorming and strategic thinking, and Claude, which he has used for automation over the past year. He describes them as complementary, each with a distinct role, and both trained with the same foundation.KEY INSIGHTS FROM THIS EPISODEExperience compounds. Working across multiple roles and industries, especially early in a career, creates a foundation that multiplies future opportunity.Retirement is not an endpoint. Jack pushes back on the idea that experienced professionals should wind down. Their knowledge, relationships, and judgment are among the most valuable assets available to any organization.Scaling happens during crisis. When others pull back, Jack leans in. His approach is to build capacity, strengthen teams, and expand during periods of pressure because that is when the real growth happens.The guiding question Jack returns to during adversity is simple: remember why you started. It is not about nostalgia. It is about using original purpose as an anchor when clarity is hard to find.BOOKS MENTIONED IN THIS EPISODELead Forward by Jack Jendo https://www.amazon.com/s?k=lead+forward+jack+jendoStart with Why by Simon Sinek https://www.amazon.com/s?k=start+with+why+simon+sinekRich Dad Poor Dad by Robert Kiyosaki https://www.amazon.com/s?k=rich+dad+poor+dadThe Richest Man in Babylon by George S. Clason https://www.amazon.com/s?k=richest+man+in+babylonTOOLS MENTIONEDChatGPT (Custom GPT / TwinJack): https://chatgpt.com Claude (AI): https://claude.ai BrainDigits: https://braindigits.comCONNECT WITH JACK JENDOLinkedIn: https://www.linkedin.com/search/results/all/?keywords=jack+jendo Instagram: Search Jack JendoJack responds personally to every message.FOLLOW NAVIGATING THE CUSTOMER EXPERIENCEX (Twitter): https://x.com/navigatingCX Facebook Community: https://www.facebook.com/groups/NavigatingtheCustomerExperience LinkedIn: https://www.linkedin.com/in/yaniquewagrantcx/ Website: https://yaniquegrant.com/podcasts/
Neil Araujo, the CEO and cofounder of iManage, was last on this podcast almost exactly two years ago. In the dog years of the legal industry's AI age, that feels like a long time ago. Our conversation then was about law firms still feeling their way around generative AI. But now, as you will hear in this episode, the focus is about what it actually takes to put AI to work at scale — and iManage's answer is that it starts with what Neil calls a knowledge foundation: the content, context and governance layer that makes AI responses not just fluent, but relevant and trustworthy. Two weeks before we recorded this episode, iManage unveiled the next evolution of its document- and knowledge-management platform, one built around what iManage calls a "context fabric" — an architectural layer the company says transforms an organization's accumulated documents and activity into a "living, governed foundation" for AI agents. It also announced iManage MCP, a standardized, open-protocol connection that enables any AI systems to securely access governed iManage content without custom integrations. In this conversation with host Bob Ambrogi, Araujo discusses these and other recent developments. He also discusses where he sees the legal industry heading as AI moves from experimentation to operational reality. Thank You To Our Sponsors This episode of LawNext is generously made possible by our sponsors. We appreciate their support and hope you will check them out. Paradigm, home to the practice management platforms PracticePanther, Bill4Time, MerusCase and LollyLaw; the e-payments platform Headnote; and the legal accounting software TrustBooks. Briefpoint, eliminating routine discovery response and request drafting tasks so you can focus on drafting what matters (or just make it home for dinner). If you enjoy listening to LawNext, please leave us a review wherever you listen to podcasts.
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