Podcasts about ai strategy

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.      

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

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

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Prime Minister Mark Carney and Artificial Intelligence Minister Evan Solomon have unveiled Canada's AI strategy with plans for widespread adoption and data centres. Guest: Matt Hatfield - Executive Director, OpenMedia Learn more about your ad choices. Visit megaphone.fm/adchoices

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.

Prime Minister Mark Carney has released Canada's long-awaited AI strategy. Power & Politics hears from Minister of Artificial Intelligence Evan Solomon on his government's approach to widespread integration. The Power Panel weighs in.

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What does someone who contributed to the AI taskforce think? ‘We got to stop treating Ontario like a banana republic’: Ford defends use of charter flightsGUEST: Daniel Wigdor - submitted a white paper to Canada’s AI Strategy Task Force, Co-founder AI studio AXL, and a computer science professor at University of Toronto

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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.  

How do you stay in control of AI while still benefiting from everything it can do? As AI becomes more powerful, many leaders are focused on getting AI to do more work. But perhaps the better question is: How do you make AI more effective without letting it influence your thinking, your brand, or your business direction? In this episode of Grounding AI, Donna Peterson explores why leaders must remain the decision-makers while using AI as a tool to strengthen expertise, deepen customer relationships, and improve business outcomes. You'll learn why AI should enhance your knowledge rather than replace it, how to train AI around your company's goals and values, and the questions every leader should ask before using AI-generated recommendations. If you're responsible for marketing, sales, leadership, customer relationships, or business strategy, this episode offers practical guidance for maintaining control while leveraging AI effectively. In This Episode: Why AI naturally influences decisions and direction The difference between getting AI to do more and getting AI to be more effective How leaders can maintain ownership of their expertise Why your brand voice must remain stronger than AI suggestions The importance of building AI libraries and organizational knowledge Questions to ask before every AI prompt How to keep customer relationships at the center of AI adoption A simple test to determine if AI is helping or leading your business Key Takeaway Before every prompt, ask yourself: What am I trying to accomplish? Why does it matter to my audience? What action do I want people to take? Does this align with our company values and goals? The more direction you provide, the more valuable AI becomes. Connect With World Innovators // Website: www.worldinnovators.com Subscribe for weekly conversations on AI, leadership, trust-building, marketing strategy, and practical business growth. *** Reach out to dpeterson@worldinnovators.com if you'd like help building a marketing strategy that builds relationships and/or AI training for individuals or full teams.*** Visit www.worldinnovators.com for more resources on building stronger marketing and leadership strategies.*** Subscribe to the Grounding AI podcast for weekly insights into marketing, leadership, and the future of AI.

CBC News has a draft copy of the federal government's long-delayed strategy on artificial intelligence. It's promising to create up to 90,000 jobs, protect Canadians against the risks of AI, and massively boost the number of businesses that use it.And: A new drug for pancreatic cancer is showing unprecedented promise. In a trial, it doubled survival time for patients who had already gone through one round of chemotherapy. It's not on the market yet, but it is a sign of progress in treating one of the deadliest forms of cancer.Also: It's one of the fastest growing games in Canada. But the organization in charge of cricket in this country is under increasing fire. The sport's international governing body has suspended its membership after an investigation by CBC's The Fifth Estate put a spotlight on issues of corruption and allegations of match fixing.Plus: Prime Minister Carney outlines plan to deal with antisemitism, U.S.-Iran negotiations, and more.

In his first ever Encyclical, titled "Magnifica Humanitas"-- or Magnificent Humanity-- Pope Leo XIV says AI needs to be "disarmed". It's a sweeping document, introduced to the world by Pope Leo himself, a first for a papal encyclical, calling for the leaders to make sure the new technology is developed for the common good. To ensure that, he explicitly calls for more government regulation in the industry. Host Maria Kestane speaks with Dr. Gerard Ryan from the Regis St. Michael Faculty of Theology at the University of Toronto to discuss the weight an encyclical has on public policy, what it means for Leo's pontificate, and whether or not PM Carney will take note. We love feedback at The Big Story, as well as suggestions for future episodes. You can find us:Through email at hello@thebigstorypodcast.ca Or @thebigstory.bsky.social on Bluesky

This episode of The Broadband Bunch, sponsored by ETI Software and VETRO FiberMap, features a live conversation from Fiber Connect 2026 with Josh Turiano, Chief Innovation and AI Officer at Blue Stream Fiber. Josh joins host Pete Pizzutillo to share how Blue Stream Fiber is approaching AI adoption inside a broadband operator environment, from improving troubleshooting workflows and technician productivity to building internal GPT tools that help teams scale without dramatically increasing headcount. The discussion explores the importance of clean data, organizational readiness, and why successful AI adoption starts long before deploying a chatbot. Josh also dives into the broader future of AI infrastructure in telecom, including edge inference, network automation, resiliency concerns tied to hyperscalers, and the growing need for broadband providers to rethink how AI workloads are distributed. He explains how Blue Stream Fiber rolled out AI across departments, the lessons learned from early experimentation, and why operators that invest in data organization and practical AI workflows today may be better positioned to compete tomorrow. The conversation offers a look at how AI is already reshaping broadband operations while highlighting the cultural and operational changes still ahead for the industry.

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 Is Invoice Lifecycle Management? Maximizing ROI & Minimizing Risk (Jason Kurtz, CEO of Basware) Your Biggest Fraud Risk Is Right After Go-Live   We also cover a number of other relevant topics related to digital and business transformation throughout the show.   Learn more about Basware here: https://hubs.ly/Q04g-2pz0  

In this episode of Treasury Leaders, Host Philip Costa Hibberd, Founder of Automation Boutique, talks with Mariam (Petrosyan) Halfhide, Principal Consultant, Data & AI Strategy at Xebia, to explore how AI strategy, data governance, and organisational readiness are reshaping the future of finance and treasury.Mariam shares practical insights on why many organisations struggle to move beyond AI experimentation, the importance of building strong data foundations, and how finance leaders can bridge the gap between technology and business decision-making. She also discusses the growing role of AI in forecasting, operational efficiency, and strategic planning, while highlighting why human judgment and communication remain essential.Whether you're a treasury professional, finance leader, or simply interested in AI transformation, this episode offers valuable lessons on how businesses can adopt AI more effectively and create long-term value.What You'll Learn in This Episode:AI Strategy & Business Alignment: Why successful AI adoption starts with understanding business problems, not just implementing technology.Data Foundations Matter: How poor data quality and fragmented systems limit the effectiveness of AI initiatives.The Human Side of AI: Why communication, collaboration, and organisational readiness are critical for successful transformation.AI in Finance & Treasury: How AI can support forecasting, analytics, automation, and decision-making across finance functions.From Experimentation to Execution: Why many companies remain stuck in pilot phases and what is needed to scale AI successfully.Episode Breakdown with Timestamps:[00:00] – Introduction[01:40] – Mariam's Background in Data & AI Strategy[04:15] – Why AI Adoption Often Fails in Organisations[08:22] – The Importance of Data Quality and Governance[12:35] – Aligning AI with Business Objectives[17:10] – AI Use Cases in Finance and Treasury[22:48] – Moving Beyond AI Experimentation[27:55] – Organisational Readiness and Change Management[32:20] – Human Judgment vs AI Decision-Making[36:45] – The Future of AI in Treasury and Finance[40:10] – Final Advice for Finance LeadersFollow Our Guest: LinkedIn: https://www.linkedin.com/in/mpetrosyan/Xebia: https://www.linkedin.com/company/xebia/Follow Treasury Leaders:Website: https://corporate-treasury-101.com/LinkedIn: https://www.linkedin.com/company/treasury-leaders/Follow Our Hosts:Hussam Ali on LinkedIn: https://www.linkedin.com/in/hussam-r-ali/Guillaume Jouvencel on LinkedIn: https://www.linkedin.com/in/guillaume-jouvencel/Jan-Willem Attevelt on LinkedIn: https://www.linkedin.com/in/attevelt/Philip Costa Hibberd on LinkedIn: https://www.linkedin.com/in/philip-costa-hibberd/GHA Marketing Website: https://ghapodcast.com/Automation Boutique Website: https://automationboutique.com/ -----------------------------------------------------------------------Get $100 off any AFP product, including their CTP Exam Prep Platform, using our discount code! Find this and More on our partner's pagehttps://corporate-treasury-101.com/partners-page/

Are you trying to launch your AI initiatives from a messy lot instead of a launchpad?Most companies aren't struggling with AI integration, budgets, timelines, and activations because the technology is bad.They're struggling because the foundation underneath the technology is a hot mess. Their business foundation.In this episode, Dawn Andrews breaks down the invisible reason so many AI initiatives stall out after the demos, strategy meetings, and expensive vendor calls. Spoiler alert? The problem usually isn't the AI platform. It's the messy systems, undocumented workflows, scattered data, and unclear decision-making hiding underneath it all.This episode is your velvet-boot wake-up call if you're a founder or executive thinking:“Why are we spending all this money, and nothing is actually changing?”Because the rockets aren't the problem. The launchpad is. And once you understand that? Everything shifts.Want help navigating the messy middle of AI implementation without turning your company into an exhausted science experiment?Join the AI for Founders Community on LinkedIn, where Dawn hosts live office hours, practical conversations, and real-world AI strategy discussions for founders and executives who are building while the plane is flying.Because nobody needs another generic AI webinar. You need clarity that actually works in real businesses.Key TakeawaysAI implementation is not just a technology project, it's an operational clarity project.Most businesses are trying to automate workflows that only exist inside the founder's brain.Your shared drives, SOPs, client notes, and process documentation matter more than another AI subscription right now.Fast-moving founders often mistake preparation for “not making progress.”The leaders who prepare their runway now will dominate later.Resources & LinksJoin the AI for Founders Community on LinkedInDownload: 10 Ways AI Will Make You a Better LeaderRelated Episodes 165 | The System Your Business NEEDS to Stop the Bottleneck Before You Add Any Other System146 | The Delegation Mistake That's Keeping You Stuck Working 60 Hours a Week (+ The #1 AI Trick to Overcome It)128 | How Female Founders Use AI to Stop Being December's Bottleneck122 | The 4-Stage AI Process Female Founders Use to Stop Losing 10 Hours Each Week Answering Questions Their Team Should OwnSend us Fan MailWant to increase revenue and impact? Listen to “She's That Founder” for insights on business strategy and female leadership to scale your business. Each episode offers advice on effective communication, team building, and management. Learn to master routines and systems to boost productivity and prevent burnout. Our delegation tips and business consulting will advance your executive leadership skills and presence.

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 Is Technical Debt? Navigating ERP Cloud Migration (Brad Feakes, President of Estes Group) Cloud Doesn't Mean You're Less Locked In   We also cover a number of other relevant topics related to digital and business transformation throughout the show.  

The culture is obsessed with speed, scale, lean teams, massive output, and automation, but faster output does not automatically mean better direction. In part two of this connected conversation, the focus shifts to the missing human layer underneath AI-powered growth and the belief that more content, more automation, and more velocity always lead to better outcomes. Using S³ Growth Streams™ as the operating lens, you will learn how to strategize before accelerating, synergize before scaling, and systemize before sprinting forever. More importantly, you will see how to separate signal from noise, align tools with real human capacity, and build repeatable rhythms that support growth without requiring constant sacrifice. This episode is not anti-AI, anti-hustle, or anti-ambition. It is anti-default sacrifice, anti-permanent sprint, and anti-output without awareness. It also challenges the obsession with flow state by introducing five operating states that support sustainable growth: capture, clarity, commitment, flow, and reflection. Because flow is not the whole game. Sometimes the most productive thing you can do is capture the signal, get clarity, commit to the right action, recover, reflect, and return to baseline before sprinting again. The goal is not to become more machine-like. The goal is to become more intentionally human while using machines wisely. Beyond The Episode Gems: Buy My 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