Podcasts about ai integration

Good morning from Pharma Daily: the podcast that brings you the most important developments in the pharmaceutical and biotech world. Today, we're navigating through a myriad of transformative advancements reshaping the industry. From artificial intelligence-driven research breakthroughs to strategic acquisitions in emerging therapeutic areas, these developments are setting new benchmarks in drug discovery and patient care. **Strategic Acquisitions and Expansions:** Samsung Biologics' recent proposal to acquire Swiss CDMO Polypeptide for $1.8 billion marks a significant expansion into peptide production, underscoring the growing therapeutic importance of peptides. Their specificity and efficacy make them particularly appealing for metabolic disorders such as obesity. This acquisition reflects a strategic move to capture emerging market opportunities as demand for innovative metabolic treatments rises. Eli Lilly's bold $2.8 billion acquisition of Atai-Beckley highlights the pharmaceutical industry's shifting focus towards psychedelics. As mental health disorders like depression and PTSD become more prominent, psychedelics hold great promise for new therapeutic approaches. This acquisition may pave the way for further research and acceptance of psychedelics within mainstream medicine, offering new hope for patients. Another notable development is Tempus' acquisition of Personalisis for $1.5 billion. This move strengthens Tempus' cancer treatment portfolio by leveraging genomics-driven insights, emphasizing precision medicine's critical role in oncology. **AI Integration and Technological Innovation:** Bristol Myers Squibb is doubling down on AI integration by expanding its collaboration with Nvidia to build what promises to be the most powerful AI supercomputer dedicated to life sciences. This development is pivotal as it signifies a deeper commitment to harnessing computational power in R&D. By accelerating drug discovery and optimizing clinical trial processes, AI stands to revolutionize how treatments are developed and tailored to individual patients. Overall, these developments indicate a dynamic phase characterized by technological innovation and strategic collaborations. The integration of AI into drug development processes stands out as a transformative force, promising enhanced efficiency and efficacy in bringing new treatments to market. **Regulatory Milestones and Clinical Trials:** In regulatory news, Takeda's Qdenga has achieved a milestone by becoming India's first approved dengue vaccine. This approval is crucial in addressing neglected tropical diseases, with significant implications for public health in regions where dengue is prevalent. By reducing dengue fever incidence, this vaccine could play a vital role in improving health outcomes in many tropical countries. Promising results have emerged from clinical trials across various therapeutic areas. 4D Molecular Therapeutics reported an 87% reduction in treatment burden for wet AMD using their gene therapy candidate 4D-150 in Phase 2b trials—demonstrating potential as a transformative approach with reduced intervention frequency. Latigo Biotherapeutics' Nav1.8 inhibitor LTG-001 outperformed Vicodin in Phase 2 trials for acute pain, offering a non-opioid alternative amidst the opioid crisis. Meanwhile, Regenxbio's five-year data on surabgene lomparvovec shows sustained efficacy in wet AMD and diabetic retinopathy—underscoring its potential as a long-term treatment option. **Financial Performance and IPO Activity:** Financially, Abbott exceeded expectations with strong sales from their device and diagnostic divisions, prompting an upward revision of their full-year profit forecast. This reflects sustained demand for innovative diagnostic solutions and medical devices—highlighting Abbott's strategic market positioning. The IPO landscape remains active with companies like Nuvox Therapeutics seeking to raise funds for advancing oxygen therapeutics targeting hypoxia-related diseases—showcasing renewed investor interest and confidence within biotech innovation. Latigo Biotherapeutics is preparing for an IPO to advance its pipeline, demonstrating a strategic response to the opioid crisis. By developing alternatives that minimize addiction risks while providing effective relief, Latigo underscores the industry's commitment to safer pain management solutions. Turning to clinical trials, Scribe Therapeutics plans a $96 million IPO to advance its CRISPR-based lipid-lowering therapies, marking significant interest in genetic solutions for cardiovascular diseases like hyperlipidemia. The precision offered by CRISPR technology could revolutionize treatment options for conditions contributing significantly to cardiovascular health burdens. **Geopolitical Influences:** Geopolitical factors are also influencing market dynamics, particularly in the UK biotech sector where IPO plans are being shaped by global uncertainties despite robust venture capital backing. This situation underscores the complex interplay between regional economic conditions and global investment trends in biotech innovation. As these trends continue unfolding across the industry landscape—from AI-driven research advancements to strategic acquisitions—the potential impact on patient care paradigms remains profound. These developments not only promise new possibilities within drug development but also influence broader healthcare delivery models aimed at improving patient outcomes globally.Support the show

AI integration is rapidly reshaping how legal work gets done, but many organizations are finding that technology alone is not enough. In this episode of The Legal Report from Robert Half, host Jamy Sullivan speaks with Sunny Sanghani, Managing Director and Legal Consulting Segment Lead at Protiviti, about what it really takes to navigate AI integration successfully. They explore the growing gap between technology investment and workforce readiness, the rising importance of hybrid talent and AI governance, and the critical role legal operations play in driving adoption. Tune in for real-world strategies on how legal leaders can align talent, technology and risk to build more effective, future-ready teams. Subscribe to The Legal Report from Robert Half: https://play.megaphone.fm/taobgtzvrne014wkmbcgew Learn more about your ad choices. Visit megaphone.fm/adchoices

Yasir Arafat, Co-Founder, CTO, & President, stops by the Energy News Beat podcastOn July 4th, 2024—America's 250th birthday—something extraordinary happened that most people missed. Allo Atomics turned on a brand new advanced nuclear reactor for the first time in 50 years. But here's what makes this truly revolutionary: they designed, built, and achieved criticality in less than 12 months. In this episode of the Energy Newsbeat Podcast, host Stu Turley sits down with Yasir Arafat, CTO and President of Allo Atomics, to explore how a company that was just two people 2.5 years ago is now rebuilding American manufacturing muscle and solving one of humanity's greatest challenges—powering the AI revolution while ending global energy poverty.From factory-based mass production to autonomous reactors powered by AI, from 36-day construction timelines to modular power plants that rival grid reliability, this conversation reveals how American innovation is about to transform energy forever.This is the story of how nuclear went from a decade-long project to a factory product—and why it matters for every country on Earth.Buckle up, as this was a huge discussion, and I hope that it is the first of many with Aalo Atomics. They are going places, and we need them to be as successful as they seem likely to be. They have the nuclear market and are designing the entire supply chain, from standardized fuel to go-to-market strategies, controlling it along the way.Secretary Chris Wright was at their offices and personally signed their approvals for critical mass testing. This is huge, and they were one of four reactors that kicked off our 250th anniversary in style.This is just about as cool as it gets - Well done Aalo Atomics and Secretary Chris Wright!1. Advanced Nuclear Reactor Development & AchievementYasir Arafat, CTO and President of Allo Atomics, discusses their groundbreaking accomplishment of building and turning on a brand new advanced nuclear reactor on July 4th—the first time this has been done in 50 years. This was achieved in less than 12 months as part of an executive order challenge from President Trump.2. Rapid Company Growth & Manufacturing Scale-UpAllo Atomics grew from a 2-person company 2.5 years ago to nearly 200 employees. The company is expanding its manufacturing facility from 40,000 square feet to 200,000 square feet this year, with plans to reach a million square feet within three years—positioning it as the largest nuclear reactor manufacturing facility in the United States.3. Factory-Based Mass Production ModelRather than traditional project-based nuclear construction, Allo is pioneering a factory mass-production approach similar to the automotive and aerospace industries. This includes automated welding systems and modular component design that can be transported and assembled like “Lego blocks.”4. AI Data Center Power DemandsThe podcast highlights the massive energy needs of AI data centers, which require 60 gigawatts of power over the next five years. Nuclear provides the ideal solution as a 24/7, clean baseload power source that doesn't depend on weather.5. Fuel Supply Chain & EnrichmentDiscussion of uranium enrichment levels, with Allo's reactors operating at 5% enrichment using commercially available uranium dioxide fuel—avoiding the need for exotic fuel forms or military-grade materials that would complicate supply chains.6. Modular Power Plant Design (AuloPOD)Allo designed a 50-megawatt power plant with multiple reactors and turbines providing N+1 redundancy, achieving 99.9% availability. This allows data centers to operate independently from the grid while maintaining reliability.7. Accelerated Construction & DeploymentThe company built its first nuclear reactor building in just 36 days—reducing construction costs by one-fifth. Their goal is to compress the entire deployment process from order to operation in less than 12 months, compared to the traditional 6-10+ years.8. Vertical Integration & Supply Chain SolutionsAllo manufactures the majority of hardware in-house while partnering with 100+ suppliers. The philosophy is “no unobtanium”—every component must be obtainable from existing suppliers or manufactured internally.9. AI Integration in Nuclear Design & OperationsAllo uses AI extensively for engineering design, licensing acceleration, and autonomous reactor operations. They have 62+ major AI projects running, with human validation at every step to ensure quality and safety.10. Global Energy Impact & Future ApplicationsThe conversation extends beyond data centers to broader applications: ending energy poverty worldwide, powering remote locations, military bases, marine vessels, and even lunar bases. The vision is to transform the U.S. into an energy exporter and uplift nations through reliable, low-cost nuclear power.11. Series C Funding & IPO PlansAllo is currently raising Series C funding and plans to go public only after demonstrating its ability to execute at scale with licensed products and generate revenue.This is a compelling discussion about how American innovation and manufacturing expertise can solve the global energy crisis through advanced nuclear technology.Check out Aalo Atomics here: https://www.aalo.com/Connect with Yasir on his LinkedIn here: https://www.linkedin.com/in/yasiraalo/A shout-out to Steve Reese and the Reese Energy Consulting group for sponsoring the Podcast https://reeseenergyconsulting.com/.Data2 if you have any business systems, can you trust A? Well, they have the patent on validation. . https://data2.zoholandingpage.com/energyAnd we have WellDatabase rolling in as a new sponsor. https://welldatabase.com/

"I Don't Even Like Calling It Claude" ft. Dr. Carol Fletcher | My EdTech Life 368A college student let an AI chatbot complete his entire research project. When his professor asked him to explain it, he couldn't. That's the story that opens this episode with Dr. Carol Fletcher, Director of EPIC (Expanding Pathways in Computing) at UT Austin's Texas Advanced Computing Center (TACC), where she leads research and professional development in STEM+CS education across the state.Carol doesn't hold back. She calls the "AI will do it all, kids don't need to learn to code" messaging coming out of corporate America "fascinatingly irresponsible." She breaks down research showing AI chatbots agree with users roughly 15 times more than a human would, and explains why she refuses to call any chatbot by a human name in front of students. We also get into why "just ban it" isn't working. 100% of kids in her conference's student panel said they're using AI, even in schools where it's prohibited. That's created a real adversarial relationship between students and teachers over AI accusations.Carol brings a rare mix of perspectives to this conversation. She's a former middle school teacher, an elected School Board Trustee for 18 years, and the founder of WeTeach_CS, one of the largest computer science teacher professional development programs in the country. That program is where a lot of this episode's optimism lives: real, statewide, teacher-facing work that's been building AI and CS literacy in Texas classrooms long before this became a headline issue.Then we go deep on policy. Carol chaired the Texas AI in Education Task Force behind a new white paper, and the numbers are sobering. Texas is one of only five states with no formal AI guidance for K-12, even though 86% of districts report teachers are already using it. She walks through the task force's recommendations and a red-light/yellow-light/green-light framework any district can start using now.Chapters: 00:00 Introduction to Learning Stalls and AI's Role 09:56 The Importance of Computer Science Education 19:57 The WeTeachCS Summit: Building Community and Empowering Educators 29:58 AI in Education: The Risks of Over-Reliance 35:48 The Need for AI Guidance in K-12 Education 39:53 Navigating AI Messaging in Education 42:46 Recommendations for AI Integration in Texas Education 46:06 Practical Steps for Districts to Implement AI Policies 52:02 WeTeachCS: Supporting Educators in AI LiteracyConnect with Dr. Carol Fletcher & WeTeach_CS:

In this insightful episode, host Mark Hayward engages with Dusty Gulleson, the CEO of Tectonic, to delve into the journey of crafting a successful business rooted in reliability and enduring client relationships. Dusty recounts his upbringing in Indonesia as a "feral kid," exploring how those early experiences shaped his approach to cross-cultural communications and entrepreneurship. This backdrop set the stage for Dusty's challenge to the fast-paced, profit-driven narrative that often rules Silicon Valley, favoring instead a slow and steady growth model. His approach focuses on building trust and crafting solutions that align with the mission-driven goals of his clients.With a central theme on sustainable, service-oriented growth, Dusty shares his insights into the digital transformation field, underscoring the importance of honest communication and deep client understanding. Mark and Dusty explore how AI and technological innovation can enhance business processes while remaining anchored in pragmatic governance and documentation. The conversation reflects on the immense potential of focusing on mission-based work, proving value before scaling, and how this methodology augments Tectonic's service-oriented DNA. Dusty's leadership values, rooted in humility and community engagement, position him uniquely in the tech landscape.Key Takeaways:Trust cannot be expedited; a reliable business requires consistent effort and patience.Emphasizing a service-oriented growth model promotes long-term client relationships and sustainable success.The foundation of successful digital transformation lies in thorough governance and realistic implementation.Mission-driven organizations with clear objectives can benefit immensely from strategic, incremental innovations.Understanding clients' stories and needs is crucial in delivering impactful technology solutions.Resources:Visit Tectonic's Website: TectonicConnect with Dusty Gulleson on LinkedIn: Dusty GullesonRecommended community for digital CEOs: Bureau of DigitalFor more enlightening discussions and in-depth insights from leaders like Dusty Gulleson, make sure to listen to the full episode and keep an eye out for future releases in this podcast series. Support the showIf you want to watch the full video of this episode go to:https://www.youtube.com/@markhayward-BizGrowthTalksDo you want to be a guest on multiple podcasts as a service go to:www.podcastintroduction.comFind more details about the podcast and my coaching business on:www.businessgrowthtalks.comFind me onLinkedIn - https://www.linkedin.com/in/mark-hayw...Tik Tok - https://www.tiktok.com/@mjh169183YouTube Shorts - https://www.youtube.com/@markhayward-BizGrowthTalks/shorts

Welcome to episode #1044 of Thinking With Mitch Joel (formerly Six Pixels of Separation). Steve Brown has spent more than twenty-five years helping organizations prepare for the future of technology. A former Senior Director and in-house futurist at Google DeepMind during the launch of AlphaFold, former Chief Evangelist and Futurist at Intel, entrepreneur and advisor, Steve has worked with global brands including Nike, JPMorgan Chase, Samsung, Disney and more to navigate digital transformation and the rapidly evolving AI landscape. His latest book, The AI Ultimatum - Preparing For A World Of Intelligent Machines And Radical Transformation, argues that AI is not another technology deployment but a fundamental organizational transformation that will reshape business over the next decade. In this episode, Steve explains why simply licensing AI tools is only the beginning, outlining the three stages organizations must navigate as they evolve toward becoming truly AI-first. We discuss the growing role of AI agents and digital employees, why leaders must rethink workflows instead of simply automating existing processes, and how organizations can prepare employees for a future where humans and intelligent machines work side by side. Steve also explores the importance of data strategy, change management, and responsible AI governance, while tackling difficult questions about surveillance, workforce anxiety, human creativity, and whether AI represents another technology cycle or something fundamentally different. Throughout the conversation, he makes the case that the real challenge is not adopting AI for efficiency alone, but reimagining how organizations create value in a world where intelligence itself has become programmable. Enjoy the conversation… Running time: 1:01:14. 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 Steve Brown. The AI Ultimatum - Preparing For A World Of Intelligent Machines And Radical Transformation. Steve's Blog. Follow Steve on LinkedIn. Chapters: (00:00) - Navigating the AI Transformation. (06:06) - The Three Steps of AI Adoption. (08:47) - AI in Journalism: The Human-Machine Collaboration. (12:02) - Consumer Perception of AI-Generated Content. (18:03) - The AI Ultimatum: Embrace or Be Left Behind. (21:10) - The Role of Responsibility in AI Adoption. (24:00) - The Future of Digital Employees. (29:42) - The Future of Remote Work and AI Avatars. (30:05) - Managing Digital Employees: A New Paradigm. (32:35) - Types of AI Agents and Their Impact on Work. (34:34) - Evolving Roles: From Accountants to Financial Advisors. (37:09) - The Burnout Dilemma: Technology vs. Human Capacity. (39:11) - Involving Employees in AI Design Processes. (41:03) - Resistance to AI: Fear of Replacement and Identity. (44:42) - Leadership Perspectives on AI Integration. (46:36) - Creating Super Teams: The New Managerial Role. (48:04) - Case Study: Nvidia's AI Workforce Strategy. (50:10) - Early Successes in AI Deployment. (52:19) - Surveillance vs. Performance Measurement in AI. (56:25) - The Need for a Healthier Work Ecosystem. (58:24) - A Shift in Thinking: The Rise of OpenClaw.

AI in healthcare marketing is an exciting topic. This week, we're getting into the specifics of how it actually works in practice.In this week's episode, Hedy & Hopp CEO & Founder Jenny Bristow explains the five pillars Hedy & Hopp uses to integrate AI into paid media management, and what that's actually meant for client results. The golden rule that anchors all of it: AI accelerates and informs, but humans own the strategy and validate the outputs.Hedy & Hopp's Five Pillars of AI Integration in Paid Media:• Smart Planning & Budgeting: Rather than relying on platform-suggested defaults, we use AI to analyze multiple first-party data points alongside real inventory data and performance signals so budget allocation is driven by real intelligence, not guesswork.• Precision Persona Building: AI makes it possible to build out multiple granular personas (pulling in demographics, household income, personal values etc.) at a scale and speed that traditional processes simply can't match. Human teams then pressure-test every persona before anything goes live.• Emerging Channels: Patients are already turning to ChatGPT and other LLMs with healthcare questions before they ever book an appointment. Hedy & Hopp is placing clients within those results. Think of it like paid search for the AI era.• Real-Time Insights: AI layered on top of custom Data Studio dashboards (many of which now include Epic patient appointment and revenue data via Hedy & Hopp's UTM Connect tool) means trends get flagged faster than any human analyst could catch them. This enables quicker feedback loops and smarter optimizations.• Creative Optimization: AI handles the versioning work like regional variations, DMA-specific copy, and localized iterations so campaigns can move faster without sacrificing quality. Concepting, however, stays firmly in human hands.Ultimately, this isn't about automation for automation's sake. It's about building smarter, human-led paths to paid media performance!Connect with Jenny:Email: jenny@hedyandhopp.comLinkedIn: https://www.linkedin.com/in/jennybristow/If you enjoyed this episode, we'd love to hear your feedback! Please consider leaving us a review on your preferred listening platform and sharing it with others.

Ghazenfer Mansoor's early experience with a recruitment software startup became the catalyst for a complete philosophical shift. When he realized his product lacked product-market fit and failed to address specific user needs, he had to go back to the whiteboard entirely, redesigning the entire value proposition. This painful lesson became the foundation for his mission to help founders build products the right way from the start rather than experimenting on limited budgets. Ghazenfer's perspective on artificial intelligence and product development distinguishes itself through grounded, realistic understanding rather than hype. While many founders treat AI as magic that will automatically solve problems with the right prompts, he recognizes that AI amplifies existing processes—it doesn't replace strategy. The most significant mistake he observes is founders assuming that generic AI prompts without their own data and workflows will generate competitive advantages. In reality, AI is only as good as the data and context provided. If business processes are broken, data is messy, or workflows are undefined, AI won't fix those problems—it will expose them. To learn more about building products strategically, leveraging AI for competitive advantage, and understanding the principles of sustainable growth, explore Ghazenfer Mansoor's book Beyond the Download which provides comprehensive strategies for app success and user engagement. For deeper insights into software development, healthcare technology, and AI integration, visit Technology Rivers at https://technologyrivers.com/, where his team helps founders build products the right way from the start. You can also connect with Ghazenfer directly at https://ghazenfer.com/ to learn more about his approach to product strategy, compliance, and scaling businesses through technology. For the accessible version of the podcast, go to our Ziotag gallery.We're happy you're here! Like the pod? Support the podcast and receive discounts from our sponsors: https://yourbrandamplified.codeadx.me/ Leave a rating and review on your favorite platform Follow @yourbrandamplified on the socials Talk to my digital avatar  See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Hello everyone. Welcome to the latest episode of The Matchbox Podcast powered by Ignition Coach Co. I'm your host, Adam Saban, and on this week's episode we've got special guests Dirk Friel and Henry Lutz, from TrainingPeaks, to answer all of our burning questions about the platform we all know and love. As always, if you like what you hear please share this with your friends and leave us a five star review and if you have any questions for the show drop us an email at matchboxpod@gmail.com with the topic of discussion in the email title or head over to ignitioncoachco.com and fill out The Matchbox Podcast listener question form. You can also sign up for the Matchbox Patreon and get priority placement for your submitted questions.   Alight let's get into it!   For more social media content, follow along @ignitioncoachco @adamsaban6 @dizzle_dillman @dylanjawnson @kait.maddox     https://patreon.com/MatchboxPodcast?utm_medium=unknown&utm_source=join_link&utm_campaign=creatorshare_creator&utm_content=copyLink   https://www.youtube.com/c/DylanJohnsonCycling https://www.ignitioncoachco.com  https://www.youtube.com/@DrewDillmanChannel   Intro/ Outro music by AlexGrohl - song "King Around Here" - https://pixabay.com/music/id-15045/    The following was generated using Riverside.fm AI technologies       Summary In this conversation, Dirk Friel and Henry Lutz from TrainingPeaks discuss the evolution of coaching in endurance sports, the importance of communication between coaches and athletes, and how technology has transformed training practices. They share insights on the role of data in coaching, the significance of emotional feedback, and the future of training methodologies. In this conversation, the speakers delve into the complexities of coaching in the modern age, particularly focusing on the overwhelming amount of data available to athletes and coaches. They discuss the evolution of athlete independence, the importance of integrating feedback mechanisms like RPE, and the advancements in strength training solutions within the TrainingPeaks platform. The conversation highlights the balance between providing valuable data and avoiding information overload, as well as the necessity for coaches to adapt to the changing landscape of athlete training and self-management. This conversation delves into the evolving landscape of athletic training, emphasizing the holistic approach to athlete development, the significance of training metrics, and the future integration of AI in coaching. The speakers discuss the importance of collaboration among coaches, nutritionists, and strength trainers, and how tools like TrainingPeaks can enhance athlete performance through data analysis and trend observation. They also explore the potential of AI to assist coaches without replacing them, ensuring a more personalized training experience for athletes.   Chapters00:00 Introduction to TrainingPeaks and Its Founders 10:16 Evolution of Training and Coaching Practices 20:04 The Importance of Communication in Coaching 28:51 Navigating Data Overload in Coaching 36:14 The Evolution of Athlete Independence 42:07 Integrating RPE and Feedback Mechanisms 50:33 Strength Training Solutions and Integration 51:58 The Holistic Athlete Approach 54:01 Innovations in Training Metrics 57:59 Understanding Training Peaks Metrics 01:00:59 The Art of Training and Trends 01:04:01 Maximizing TrainingPeaks Features 01:12:55 The Future of TrainingPeaks and AI Integration

As clinicians face rising administrative burden and burnout, there's a growing need for technology that helps them be more present and informed at the point of care. At Kaiser Permanente, that means starting with real clinician pain points, from ambient AI scribes that reduce documentation burden to digital twins that enable more personalized, proactive care. This episode explores how AI is being integrated into healthcare to improve clinician workflows and patient care, while balancing innovation with a human-centered approach.   Featured experts  Dr. Kris Lee, Associate Executive Director, Chief Transformation Officer, The Permanente Medical Group Anupama Ambe, SVP & Managing Director, Healthcare & Life Sciences, Kyndryl

This episode has been presented by System1.What happens when Byron Sharp, Mark Ritson, System1, creators, AI, and Cannes Lions all collide on Day One?In the first edition of our Cannes Cut series, presented by System1, Marc and V unpack the biggest themes emerging from Cannes Lions 2026, including why creativity is increasingly being judged through the lens of effectiveness, why marketers may be spreading budgets too thin, and why some of the industry's biggest thinkers are converging on a surprisingly small set of principles.Along the way, the guys sit down with Vanessa Chin (SVP Marketing, System1) to discuss creativity, creators, celebrities, emotional advertising, AI-generated campaigns, and why happiness and humour continue to outperform serious purpose-driven work.They also hit the Croisette to capture perspectives from attendees, founders, creators, publishers, and marketers about the trends shaping Cannes this year.In this episode:Why effectiveness has become the dominant conversation at CannesDavid Tiltman's "Fewer, Bigger, Better" frameworkThe five things Byron Sharp and Mark Ritson agree onMental availability and why awareness isn't enoughDistinctive brand assets and why logos alone don't cut itWhy sophisticated mass marketing still mattersThe case against purpose-led marketingHow creators are becoming marketing "super touchpoints"Why funny advertising continues to outperform serious advertisingThe role AI is actually playing in modern creative developmentSights and sounds from the CroisettePlus: exclusive insights from Vanessa Chin and conversations with marketers attending Cannes from around the world.The Rosé can wait. The questions can't.In this episode:Why effectiveness has become the dominant conversation at CannesDavid Tiltman and WARC's "Fewer, Bigger, Better" frameworkThe five things Byron Sharp and Mark Ritson agree onMental availability and why awareness isn't enoughDistinctive brand assets and why logos alone don't cut itWhy sophisticated mass marketing still mattersThe case against purpose-led marketingHow creators are becoming marketing "super touchpoints"Why funny advertising continues to outperform serious advertisingThe role AI is actually playing in modern creative developmentSights and sounds from the CroisetteThe Rosé can wait. The questions can't.Chapters00:00 - Welcome to Cannes: The Excitement Begins02:53 - Insights from Industry Leaders06:06 - The Importance of Mental Availability08:52 - Distinctive Brand Assets and Their Impact12:09 - The Shift from Purpose to Emotion in Advertising14:59 - The Role of Celebrities in Marketing17:58 - The Power of Humour in Campaigns20:52 - The Future of Creators in Advertising23:48 - Final Thoughts and Key Takeaways27:25 - Conor Byrne, Exploring AI's Human Element30:03 - Alex, Insights from AI Central Media32:49 - Rachel Higgins, Connecting and Gaining Inspiration35:38 - Mariam Bebiashvili, Marketing Strategies and AI Integration

Sundar Subramanian, CEO of Zyter, points out that the primary issue in healthcare is not a lack of AI intelligence but a failure in AI execution.  He advocates for a vertical AI integration approach that solves entire domain-specific workflows rather than horizontal or point solutions that automate existing, often inefficient processes. To ensure safe and effective use of AI, implement guardrails that promote transparency and augment clinicians by reducing friction, helping reduce errors, and building trust. Sundar explains, "You see a lot of AI companies around, but when you look at healthcare, especially the problem we have in healthcare, it is actually not an AI intelligence problem. What we have is an AI execution problem. The models are really growing fast and can do all kinds of tasks, but if you look at healthcare and the overall healthcare economy, trillions of dollars are still spent on lots of manual processes because doing things at scale and executing things at scale is not easy. And so Zyter is a company that's trying to solve that problem, which is really how do you coordinate and execute workflows end-to-end safely, transparently, and with humans trusting it and still in control. And so that's what we intend to do and are doing at Zyter."   "So what we mean by that is that problems get solved at the domain level. And when you solve problems at the domain level, it's not a single decision problem. You can embed horizontal tools to enable convenience and do things slightly better than they are today by embedding point solutions, and lots of platforms can help do that. But when you solve for a domain workflow end-to-end, you need a lot of domain intelligence. You need to understand how the regulatory context works. You need to understand how policies and the governance of those policies need to be done. So it's not a single decision problem. And to do that, you need to orchestrate across lots of tools and data that span many domains to solve for outcomes like healthcare access, total cost of care, or quality." #ZyterAI #AIinHealthcare #HealthIT #ClinicalWorkflow #DigitalHealth #HealthcareInnovation #CareDelivery #HealthSystems #Payers #ValueBasedCare Zyter.ai Download the transcript here

Sundar Subramanian, CEO of Zyter, points out that the primary issue in healthcare is not a lack of AI intelligence but a failure in AI execution.  He advocates for a vertical AI integration approach that solves entire domain-specific workflows rather than horizontal or point solutions that automate existing, often inefficient processes. To ensure safe and effective use of AI, implement guardrails that promote transparency and augment clinicians by reducing friction, helping reduce errors, and building trust. Sundar explains, "You see a lot of AI companies around, but when you look at healthcare, especially the problem we have in healthcare, it is actually not an AI intelligence problem. What we have is an AI execution problem. The models are really growing fast and can do all kinds of tasks, but if you look at healthcare and the overall healthcare economy, trillions of dollars are still spent on lots of manual processes because doing things at scale and executing things at scale is not easy. And so Zyter is a company that's trying to solve that problem, which is really how do you coordinate and execute workflows end-to-end safely, transparently, and with humans trusting it and still in control. And so that's what we intend to do and are doing at Zyter."   "So what we mean by that is that problems get solved at the domain level. And when you solve problems at the domain level, it's not a single decision problem. You can embed horizontal tools to enable convenience and do things slightly better than they are today by embedding point solutions, and lots of platforms can help do that. But when you solve for a domain workflow end-to-end, you need a lot of domain intelligence. You need to understand how the regulatory context works. You need to understand how policies and the governance of those policies need to be done. So it's not a single decision problem. And to do that, you need to orchestrate across lots of tools and data that span many domains to solve for outcomes like healthcare access, total cost of care, or quality." #ZyterAI #AIinHealthcare #HealthIT #ClinicalWorkflow #DigitalHealth #HealthcareInnovation #CareDelivery #HealthSystems #Payers #ValueBasedCare Zyter.ai Listen to the podcast here

Data paralysis is a massive hurdle in commercial real estate. When critical market analysis, demographic shifts, and property comps live entirely on flat spreadsheets, it is incredibly difficult to visualize location-intensive trends and tell a compelling story to clients. In this episode, host Michael Bull sits down with CCIM's Ben Wilson to discuss the major rebrand and massive evolution of "Site to Do Business" into the all-new IntelliSite. They dive into how modern GIS mapping, global data integration, and built-in AI models are completely reshaping how brokers, appraisers, and developers make real estate decisions. What you'll learn in this episode: The Death of the Spreadsheet: How advanced GIS mapping and visual infographics are replacing traditional spreadsheets to tell better market stories. Mapping the "Silver Tsunami" & Suburban Sprawl: How to analyze demographic variables (across 150+ countries) to spot peripheral growth and suburban rings around primary markets. AI Integration & Void Analysis: A look at the new natural-language AI assistant and how to run a void analysis to find exactly which tenants or medical services are missing from a market. Advanced Tools for Brokers & Appraisers: How to leverage Database USA for tenant targeting, use built-in financial calculators, and easily map subject properties against custom comp databases. Get the cutting-edge tech intel you need to streamline your workflows and find hidden opportunities in any market.   Connect with Ben Wilson: https://www.linkedin.com/in/ben-wilson-704b3112/ IntelliSite  CCIM.com   Resources: Database US Esri Business Analyst   Connect with Michael Bull & The Show: Michael Bull, CCIM Bull Realty, Inc https://www.linkedin.com/in/michaelbull/   For more commercial real estate market data, sector forecasts, and video episodes, visit CREshow.com.   America's Commercial Real Estate Show is brought to you by our proud sponsors.   TCN Worldwide: Commercial real estate property management, leasing, and sales solutions across the US and globally. Learn more: https://www.tcnworldwide.com   Build Out: The ultimate product suite for commercial real estate brokerage firms looking to streamline their business. Learn more: https://www.buildout.com     Bull Realty: Regional commercial real estate brokerage services headquartered in Atlanta, delivering market intel and strategies. Learn more: https://www.bullrealty.com   Commercial Agent Success Strategies: Twenty-one cloud accessed commercial broker training videos with slide deck action notes. Learn more at https://www.commercialagentsuccess.com/        

Thanks to our Partners, Shop Boss and AppFueledAI is moving fast, but most shop owners are still trying to figure out where it actually fits into their business. Joe Schindler has gone far beyond experimenting with ChatGPT and is putting AI to work in ways that save time, improve processes, and create better experiences for both customers and employees.In this conversation, Joe joins Brian Walker to share how he's using AI-powered tools inside his shop, from predictive maintenance scheduling and call analysis to custom-built AI agents that act as digital assistants. They also dive into prompt engineering, vibe coding, technician knowledge management, and the practical ways shop owners can start leveraging AI without needing a background in programming.If you've been curious about how AI can help your shop become more efficient, more organized, and more profitable, this is an episode you won't want to miss.Listen now and discover real-world AI strategies you can start applying in your shop today.Show Notes with TimestampsIntroduction to Joe Schindler and AI(00:00:10) Host Brian Walker introduces guest Joe Schindler, a shop owner using AI to stay on the cutting edge.Joe's Journey into AI(00:02:13) Joe explains how he went from avoiding AI to fully embracing it after attending an inspiring class at Vision.AI for Scheduling Maintenance(00:03:20) Joe built an AI agent that predicts when a customer's vehicle is due for service based on their driving habits.Choosing the Right AI Tools(00:06:02) Discussion on using different AI models like ChatGPT and Claude, and the benefits of starting with one before moving on.Getting Started with "Vibe Coding"(00:06:33) Advice for beginners to learn AI development by starting with simple projects and letting the AI teach them.AI Integration in CRM and Phone Systems(00:09:03) How AI is baked into CRM and phone systems to analyze calls, take notes, and score service advisor performance.The Power of Small AI Wins(00:14:06) AI's biggest impact comes from saving small increments of time on various tasks, which add up significantly.Building a Personal AI Assistant(00:16:42) Joe details his ambitious project of building a personal AI assistant, "Sarah," trained on his own knowledge and writing style.AI for Technical Information(00:19:33) Discussing how AI can create a searchable knowledge base for technicians, saving significant time on diagnostics and repairs.Using AI to Write Service Orders(00:22:46) AI can easily translate a technician's technical notes into a clear, easy-to-understand description for the customer's invoice.WhisperFlow for Voice-to-Text(00:24:30) Praising the accuracy of WhisperFlow for dictation, saving technicians and service advisors time from typing up repair descriptions.First Steps for Shop Owners New to AI(00:27:38) The best starting point for a shop owner is to create a simple AI agent to help write service orders.Brian's Vibe Coding Success Story(00:30:18) Brian shares how he built a custom software tool in a few hours, saving his company $250 a month.Final Advice on Using AI(00:35:57) Don't be afraid to start small, be genuine in your marketing, and don't get frustrated with the learning process.How To Get In TouchJoin The Auto Repair Marketing Mastermind Group on FacebookMeet The ProsFollow SMP on FacebookFollow SMP on InstagramGet The Ultimate Guide to Auto Repair Shop Marketing BookEmail Us Podcast Questions or Topics Lagniappe (Books, Links, Other Podcasts, etc)Joe SchindlerChatGPTClaude AIAppFueled CRMThanks to our Partners, Shop Boss and AppFueledThis episode is sponsored by Shop Boss. You know, other shop management software makes you work, but Shop Boss works for you.AppFueled at appfueled.com. “Are you ready to convert clients to members? AppFueled™ specializes in creating custom apps tailored specifically for auto repair businesses. Build your first app like a pro.”The Automotive Repair Podcast Network: https://automotiverepairpodcastnetwork.com/Remarkable Results Radio Podcast with Carm Capriotto: Advancing the Aftermarket by Facilitating Wisdom Through Story Telling and Open Discussion. https://remarkableresults.biz/Diagnosing the Aftermarket A to Z with Matt Fanslow: From Diagnostics to Metallica and Mental Health, Matt Fanslow is Lifting the Hood on Life. https://mattfanslow.captivate.fm/Business by the Numbers with Hunt Demarest: Understand the Numbers of Your Business with CPA Hunt Demarest. https://huntdemarest.captivate.fm/The Auto Repair Marketing Podcast with Kim and Brian Walker: Marketing Experts Brian & Kim Walker Work with Shop Owners to Take it to the Next Level. https://autorepairmarketing.captivate.fm/The Weekly Blitz with Chris Cotton: Weekly Inspiration with Business Coach Chris Cotton from AutoFix - Auto Shop Coaching. https://chriscotton.captivate.fm/Speak Up! Effective Communication with Craig O'Neill: Develop Interpersonal and Professional Communication Skills when Speaking to Audiences of Any Size. https://craigoneill.captivate.fm/

Shawn Mullahy, newly appointed CEO at Zumper, joins Harvey for a conversation about taking over from Founder, Anthemos Georgiades, and moving towards a new business and revenue model that fills houses faster.00:00 Intros and Zumper changes04:35 Zumper's strategic shift under new leadership10:08 AI Integration and Future Business Model17:02 Challenges in Lead Attribution and Customer Engagement22:01 Investor Perspectives on AI Innovation30:13 Transition from CRO to CEO and Team Dynamics36:00 Future Trends in Rental Markets and Closing Thoughts

The episode “AI Integration Into Compliance” explains how artificial intelligence is already becoming a practical tool for bank compliance teams as regulatory expectations rise, data volumes grow, and manual compliance processes become harder to sustain. Dean highlights three major areas where AI is creating value: transaction monitoring and AML, where machine learning can reduce false positives and detect suspicious activity more effectively; regulatory change management, where AI can scan updates and map them to internal policies and controls; and risk assessments/reporting, where AI can aggregate data to give management and boards clearer insights. However, the episode emphasizes that AI is not a plug-and-play replacement for compliance professionals. Banks must maintain strong governance, transparency, explainability, data controls, model validation, documentation, human oversight, and clear escalation paths. The key message is that AI should support compliance judgment—not replace it—and institutions should start with low-risk, high-pain use cases, clean and govern their data, collaborate across departments, and be ready to explain their AI tools to regulators. Brought to you by GeoDataVision and M&M Consulting

This episode explores the rapid evolution of AI and its impact on the job market, particularly for 20-somethings entering the workforce. AI experts Darius Mirshahzadeh of AIifyIt and Jerome Stewart of White Feather Group discuss how artificial intelligence is transforming knowledge work, creating new opportunities for those who adapt quickly while threatening traditional career paths. The conversation covers practical AI tools, automation platforms, and strategic advice for navigating the AI-driven economy. In this episode, Darius will discuss: (00:00) The AI Revolution: A New Era for Knowledge Workers (02:34) Chronological Evolution of AI: Past, Present, and Future (05:41) The Impact of AI on Knowledge Work and Job Security (08:52) Skills for the Future: Preparing for an AI-Driven Economy (11:27) Navigating the Job Market: Opportunities and Challenges for Young Professionals (14:44) The Role of Human Connection in an AI World (17:49) Becoming the Solution: Embracing AI Skills for Career Success (26:24) The Role of AI in Manual Tasks (28:27) The Future of Robotics and AI Integration (30:24) Reassessing Your Tech Stack (34:27) Getting Started with AI for Young Professionals (42:49 The Urgency of Adopting AI in Business Connect with Darius: Website: https://therealdarius.com/ Linkedin: https://www.linkedin.com/in/dariusmirshahzadeh/ Instagram: https://www.instagram.com/imthedarius/ YouTube: https://www.youtube.com/@Thegreatnessmachine  Book: The Core Value Equation https://www.amazon.com/Core-Value-Equation-Framework-Limitless/dp/1544506708 Write a review for The Greatness Machine using this link: https://ratethispodcast.com/spreadinggreatness.  Learn more about your ad choices. Visit megaphone.fm/adchoices

Welcome to another episode of Building the Premier Accounting Firm. Today, Roger Knecht discusses the future of the accounting profession with Troy Lewis, an experienced CPA and BYU professor. They cover the integration of AI, the evolving roles of accountants, and strategies for firm owners to thrive in a rapidly changing landscape. In This Episode: 00:00 Introduction to Troy Lewis 01:34 Why Become an Accountant? 06:01 Bookkeeping vs. Accounting 08:10 The Entrepreneurial Accountant 19:54 Transition to Academia 25:57 Evolution of Accounting Skills: AI 34:56 Embracing AI in Accounting Firms 41:16 Investing in AI Education 46:50 Mentoring the Next Generation 50:05 Positive Perception of Accounting 59:36 AI and Foundational Skills 01:03:03 Training and AI Integration 01:13:00 Entrepreneurial Advice: Embrace Tech 01:31:37 Personal Reflections and Accountrepreneurs Challenge Featured Quotes: "The real answer is to convince them that your product is your time, and that's what you have to sell." - Troy Lewis "If you took a sophomore in college… they are going to be ill-equipped to be able to prompt appropriately into AI tools." - Troy Lewis "The future is still bright in accounting. It is bright." - Roger Knecht Conclusion: Thank you for joining us for another episode of Building the Premier Accounting Firm with Roger Knecht. For more information on how you can establish your own accounting firm and take control of your time and income, call 435-344-2060 or schedule an appointment to connect with Roger's team here. Sponsors: Universal Accounting Center Helping accounting professionals confidently and competently offer quality accounting services to get paid what they are worth.   Offers: Special Offers for our Podcast Listeners, CLICK HERE to take advantage of them today! Remember this, Accounting Success IS Universal. Be sure to listen to our next episode and subscribe.   Also, let us know what you think of the podcast and please share any suggestions you may have.  We look forward to your input: Podcast Feedback For more information on how you can apply these principles to start and build your bookkeeping, accounting, & tax business, please visit us at www.universalaccountingschool.com or call us at 801-265-3777.  And know that if it's about accounting, it's Universal.

Your favorite Blerds are back brining you all of their thoughts on everything happening in nerd culture.  This week, Shannon, Jaja and James are talking the latest in gaming industry controversies, including the shocking price hike of the Steamdeck OLED. Plus, AI industry shifts, anime awards, and upcoming TV and movie releases.    Chapters 00:00 - Introduction to Nerd Culture 02:35 - Nerdy Activities and Gaming Updates 05:45 - Anime and Media Consumption 08:27 - Discussion on Spider Noir 11:12 - Legislation Impacting Video Games 13:28 - Game Delays and Industry Insights 16:06 - GTA Pricing Controversy 18:49 - Rockstar's Employee Union 21:44 - Call of Duty Updates 24:25 - Steam Deck Price Increase 26:11 - The Rising Costs of Gaming Consoles 31:02 - PlayStation's AI Integration in Game Development 34:34 - Xbox's Corporate Strategy and Potential Layoffs 48:48 - Controversial End User License Agreements in Gaming 55:13 - Game Pass and Profitability 57:20 - Forza Horizon's Success in Japan 59:09 - Anime Awards Overview 01:12:17 - Upcoming TV and Movie Releases   Make sure to subscribe to us on Youtube, Apple Podcasts, Spotify or your podcast app of choice.     Follow Us!  https://linktr.ee/blerdsnerds National Resources List https://linktr.ee/NationalResourcesList Youtube  https://www.youtube.com/channel/UCK56I-TNUnhKhcWLZxoUTaw Email us: Blerdsnerds@gmail.com Follow Our Social: https://www.instagram.com/blerdsnerds/ https://twitter.com/BlerdsNerds https://www.facebook.com/blerdsnerds https://tiktok.com/blerdsnerds_pod Shannon: https://www.instagram.com/luv_shenanigans James: https://www.instagram.com/llsuavej  Jaja: https://www.instagram.com/jajasmith3 

AI integration consultants help organizations connect AI tools with existing business systems in a structured way. Here are five signs your business may need one — and what the role actually involves. To learn more, visit https://iprodecisions.com/ iProDecisions City: Plainsboro Township Address: 35 Knox Ct Website: https://iprodecisions.com/ Phone: +1 609 721 2815 Email: akshinthala@yahoo.com

This Episode is Sponsored by Lodgify If you have been thinking about building your own direct booking channel and reducing your reliance on the OTAs, Lodgify is worth a serious look. It brings your booking website, channel management, guest messaging, and unified inbox into one place. VRS listeners can get 60% off yearly and bi-yearly plans with code VRS-60, valid through June 30th. Visit Lodify and use code VRS-60 to get started.  > Click here to visit Lodgify.com _________________________________________________________________________________________ A year ago, Steve Schwab closed one of the most talked-about deals in the short-term rental industry - the acquisition of Vacasa by Casago. At the time, he described it as surreal and exciting. A year on, the headline has given way to the hard work: integrating systems, transitioning markets, reshaping a culture, and doing all of it while holding onto the belief that this is, at its core, a relationship business. In this conversation, Heather catches up with Steve to take stock of that year - what has worked, what has been harder than anticipated, and what the ongoing Casago-Vacasa integration has taught him about leadership at scale. They also get into AI: how Steve is approaching it inside a franchise organisation that spans everything from small, locally owned operations to private equity-backed enterprises, why he talks about making Casago bionic rather than robotic, and the very real challenge of bringing people along when the pace of change is so fast that even the most enthusiastic adopters are missing fundamentals. The episode closes with something genuinely new for the industry: a free, community-based AI learning network on Circle, built for STR professionals at every level of familiarity with AI. Steve and Heather are both actively involved, and this conversation is part of the launch. If you have been curious about AI but not sure where to start, or looking for a place to ask questions without feeling foolish, this community is worth knowing about.  ________________________________________________________________________________________________________________________________________

City leaders are eager to deploy AI, but the real opportunity lies in preparation: building the right organizational structures, expertise, and culture first. Host Stephen Goldsmith speaks with Teddy Svoronos, senior lecturer in public policy at the Harvard Kennedy School, about how to structure your city government for Agentic AI, why small, empowered teams work better than broad rollouts, and what mental models and skills leaders actually need to manage this new relationship with AI tools. In this episode, you'll learn: Why creating a data-driven culture before AI deployment is the critical first step How to start with a small, driven team to stress-test AI capabilities in your organization What "cognitive debt" means and why managing it prevents costly AI mistakes Why domain-specific expertise becomes more important, not less, as AI gets more powerful How to balance the tension between AI utility and maintaining organizational control What guardrails, monitoring, and evaluation mechanisms cities need in place from the start Guest: Teddy Svoronos – Senior Lecturer in Public Policy, Harvard Kennedy School Listener Survey: bit.ly/datasmartpod Music credit: Summer-Man by Ketsa About Data-Smart City Solutions Data-Smart City Solutions, housed at the Bloomberg Center for Cities at Harvard University, is working to catalyze the adoption of data projects on the local government level by serving as a central resource for cities interested in this emerging field. We highlight best practices, top innovators, and promising case studies while also connecting leading industry, academic, and government officials. Our research focus is the intersection of government and data, ranging from open data and predictive analytics to civic engagement technology. We seek to promote the combination of integrated, cross-agency data with community data to better discover and preemptively address civic problems. To learn more visit us online and follow us on LinkedIn.

Jubilee Media founder and CEO Jason Y Lee joins Next in Media to break down how the digital-first studio builds scalable, format-driven IP that captures Gen Z's massive attention span without relying on a single face. Discover the monetization strategies behind their unscripted content, why creators are turning down Hollywood, and how authentic human conversation is outperforming AI in the modern creator economy. Key Takeaways: The Creator Economy Flip: Top digital creators no longer view Hollywood as the ultimate graduation point, reversing the media power dynamic as traditional studios now seek out digital-first strategies to survive. The Attention Span Myth: Massive engagement metrics on 90-minute videos prove that younger audiences aren't suffering from short attention spans; they are simply starving for unscripted, long-form authenticity. Format Over Face: Designing repeatable, host-agnostic IP rather than relying on a single charismatic personality eliminates key-person risk and unlocks true operational scalability for digital studios. Contextual Brand Storytelling: The next frontier of monetization rejects one-off, disruptive advertisements in favor of naturally embedding brands into existing, high-performing video franchises. The Anti-Echo Chamber Demand: Algorithms have hyper-fragmented public discourse, creating a massive, untapped market of viewers who actively seek out raw, multi-perspective content to escape their own echo chambers. The TV Screen Takeover: Digital-first production must now default to cinema-grade standards like 4K, as YouTube's massive growth on connected televisions blends the boundary between streaming networks and independent creators. The Human Premium in an AI Era: As artificial intelligence commoditizes automated content creation, media companies that double down on raw, real-life human connection will hold the ultimate competitive advantage. IP Upcycling and Windowing: Legacy distribution strategies like FAST channels and AVOD licensing represent the most lucrative secondary revenue streams for creators sitting on deep libraries of episodic content. Resources & Next Steps: Subscribe to Next in Media on Apple Podcasts and Spotify Key Episode Timestamps: 00:00 Jubilee's Mission and Content Philosophy 1:09 Introduction and Background 2:07 Jubilee's Format Strategy and Studio Approach 3:44 Building a Scalable Business Model 4:57 Format Development and Longevity 6:16 YouTube's Evolution and Connected TV 7:54 Multi-Platform Strategy 8:54 Brand Partnerships and Controversial Content 10:01 Successful Brand Integration Examples 11:23 Brand Partnership Philosophy 12:19 YouTube's Creator Economy Evolution 13:44 Creator Content Boosting vs Investment 15:19 Hollywood and Streaming Industry Relations 16:32 Content Licensing and Distribution 17:41 Short-Form Fiction and Experimentation 18:25 Microdrama and Asian Market Trends 19:05 AI Integration and Human-Centered Content 20:09 Generational Media Habits and Public Discourse 21:34 Gen Z's Media Consciousness 22:21 Future Political Engagement and Partnerships

What You'll Learn in This Episode:In this episode, Patrick Adams welcomes back Beth Carrington to explore the difference between simply executing action plans and developing true scientific thinking through Improvement Kata and Coaching Kata.Beth shares her journey from the automotive industry into Lean transformation work and explains how discovering Toyota Kata fundamentally changed her approach to leadership and continuous improvement. The conversation breaks down why organizations often over-rely on rigid action plans and how experimentation creates better long-term learning and adaptability.You'll learn how leaders can use simple coaching routines, PDCA cycles, and reflection questions to help teams think more scientifically, solve problems more effectively, and stay focused on outcomes rather than just completing tasks. Beth also explains why AI and emerging technologies make experimentation and scientific thinking even more important in today's business environment.If you've ever struggled with teams becoming too task-focused or wondered how to build a stronger culture of learning and experimentation, this episode provides practical tools and frameworks to help you get started.Key Takeaways:Action plans alone can limit learning and adaptabilityScientific thinking is built through experimentation, reflection, and coachingPsychological safety is essential for teams to admit uncertainty and learnAI and emerging technologies increase the need for experimental thinking and continuous learningLinks:Kata Matters WebsiteBeth Carrington LinkedInLean Solutions Summit Lean Solutions Website

To watch a video version of this podcast, click here: https://youtu.be/oCnCRv-xTDM Click the link to watch Reuben ride his new toy:https://www.instagram.com/reel/DYhiBQTBc-P/?igsh=M2xwdDdmNnpwN3Rk In this episode, Reuben Saltzman, Tessa Murry, and guest Eric Hausman explore the impact of AI on home inspections, client expectations, and innovative projects like vehicle branding. They discuss how AI is shaping the industry, the importance of setting clear expectations, and share personal stories about recent adventures and projects.Here's the link to Inspector Empire Builder: https://www.iebcoaching.com/eventsTakeawaysAI is transforming home inspections and reporting.Inspectors must manage expectations around AI-generated checklists.Honesty and clear communication remain essential.Pre-drywall inspections help catch hidden issues early.AI improves client communication and saves time.AI visuals can sometimes create misleading expectations.Client feedback helps improve inspection services.Professional branding builds trust and visibility.Continuous learning is important as AI evolves.Human expertise still matters despite AI advancements.Chapters00:00 Memorial Day Reflections03:06 Adventures in Idaho05:59 Home Improvement Projects09:01 The Rise of AI in Home Inspections12:08 Setting Client Expectations15:02 Company Vehicles and Their Impact22:25 The Importance of Honesty in Inspections24:16 Understanding Inspection Standards and Expectations26:21 Pre-Drywall Inspections: A Crucial Step27:38 The Role of AI in Home Inspections30:15 Learning from Client Feedback31:40 Addressing Plumbing Concerns34:27 The Impact of AI on Home Inspection Reporting35:44 Challenges with AI in Visual Representation37:35 AI as a Time-Saving Tool39:52 AI in Client Communication43:35 Continuous Learning and AI Integration

This latest PRmoment podcast with Grayling's Tom Symondson explores AI integration in public relations.Tom simplifies the process into 3 themes:AI Integration and StrategyAgencies will implement AI by prioritizing internal efficiency and service innovation. Implementation success requires depth over breadth to maximize impact.Human Augmentation and RisksAI should serve as an augmentation tool to support experts rather than replacing critical thinking. Teams must guard against efficiency-focused work becoming low quality.Operationalizing AI ImplementationAgencies should decentralize AI expertise by embedding champions within teams instead of separate hubs. Prioritizing repetitive tasks allows firms to scale high-value client services.If you want to learn more about how the future of PR will be impacted by AI, don't miss PRmoment's PR Masterclass: AI in PR.DetailsIntroduction and Optimistic Outlook on AI in PR: Ben Smith welcomed Tom Symondson, who co-leads Accordience's AI team, to discuss the impact of AI on the PR agency model.Tom Symondson expressed extreme optimism about AI's impact, asserting that core PR skills like relationships, experience, creativity, bravery, and judgment are irreplaceable. They suggested that AI will automate tasks that are not highly valued by clients or consultants, such as general research and formatting of monitoring reports, allowing consultants to focus on high-value analysis and strategic input.Emerging Opportunities and UK Investment: Tom Symondson identified that AI will generate new mandates, clients, and revenue streams, particularly around technology-focused businesses, crises, and regulation issues stemming from AI. They expressed optimism about the UK industry's potential benefit from significant investments in large language models (LLMs) by companies like Anthropic and OpenAI in London and the UK. Three Approaches for AI Implementation in PR: Agencies are anticipated to approach AI integration in three primary ways: improving internal efficiency, changing how client work is currently delivered, and creating entirely new tools and service lines that become new revenue streams. The internal efficiency focus involves automating or augmenting repeatable, client-invisible backend functions such as transcribing meetings, building action lists, and reporting processes. Tom Symondson noted that businesses should focus on depth over breadth, selecting one area for the biggest impact before moving on to the next.Understanding AI Augmentation: AI augmentation, distinct from replacement, refers to the technology supporting human experts rather than substituting them, particularly because much of the PR industry's work requires nuance. Tom Symondson gave the example of using an enterprise LLM system for new business research, where the tool supports initial framing but does not replace the consultant's own deep research process. They emphasized that the challenge for agencies is mapping out where this augmentation will have the greatest impact and providing training to take advantage of the tools.Obstacles to Successfully Embedding AI: The three main obstacles to integrating AI into an organization are cost, data and readiness risk, and time. Cost arises because enterprise-level access to AI tools is often high, and data readiness requires extensive security and system sign-off. Tom Symondson identified time as the biggest obstacle, as consultants need more time to experiment with different prompts and processes to understand the full range of AI's impact on their work.The Risk of Efficiency Over Effectiveness: Ben Smith cautioned that the "race to efficiency" can be a "race to the bottom" if not carefully managed. Tom Symondson agreed, noting the risk that increased automation could lead to less expert consultants if technology performs more research than people. The opportunity lies in using the time saved by AI to allow consultants to specialize further, for example, spending more time networking, attending events, or researching clients.The Role of Human Judgment and Criticality: Ben Smith highlighted the necessity of retaining a critical mind because LLMs, while able to generate answers quickly, still produce errors.Tom Symondson added that LLMs are excellent with structured data; therefore, agencies must connect their LLMs to accurate data tools, in addition to training colleagues on drafting effective prompts and knowing when to use the technology. They cited the doubling of AI's ability to complete long tasks every seven months, projecting that in 14 months, AI could complete a 40-hour human task.Importance of Openness and Ownership in AI Use: Tom Symondson stressed the need for consultants and agencies to use AI appropriately, ensuring it augments and supports work, rather than replacing critical thinking. A crucial element is fostering a culture of transparency where people are open about how they used AI for research, including what worked well, what struggled, and what human work was needed to finalize the product. This transparency ensures that people maintain ownership of the work product, balancing efficiency with quality.Innovation and Use Case Clarity: Ben Smith noted increased innovation in PR firms over the last 18 months, which Tom Symondson attributed to the significantly reduced ease and cost of experimentation, allowing someone to build a Minimum Viable Product (MVP) in a weekend. However, Tom Symondson suggested that there might be less innovation this year as the industry moves toward a "substance phase," focusing on embedding existing AI use cases across the organization.Creative Quality and the Need for Uniquely Human Work: Tom Symondson identified the risk of "AI slop" or ideas that look and feel similar due to over-reliance on AI-generated content (e.g., AI writing, image, or PowerPoint generation). Great creative agencies will continue to succeed because their ideas are expected to feel "uniquely human" and grounded in culture, emotional intelligence (EQ), and personality.Operationalizing AI Implementation Across Agencies: Recognizing that time is a major barrier for busy teams, Tom Symondson emphasized the McKinsey principle that depth is more critical than breadth when implementing AI.Identifying and Managing Repetitive Tasks: In the internal productivity bucket, agencies focus on automating repeatable tasks, such as templating monitoring reports from spreadsheets into client emails, which Tom Symondson estimated could number in the thousands.Structure for AI Implementation and Expert Teams: The practical implementation of AI is highly decentralized, residing within the agencies themselves. Instead of a separate AI hub, teams have AI champions who are client-facing staff who integrate AI into their normal day jobs. Tom Symondson stressed the importance of having people work on AI who are connected to the day-to-day client work.The Opportunity for PR Compared to Other Marcom Sectors: Tom Symondson suggested that because PR is less structured and repeatable than sectors like production or media buying, the impact of AI is different, offering more opportunity for PR. AI will improve PR's ability to measure and articulate the value of its work by making it easier to structure and analyze diverse data sources. The discussion concluded that in the long term, AI will not replace talent, but rather reduce the fee earned from less-valued tasks, while increasing revenue from high-value services that require judgment, advice, and impactful results.

The core structural shift described in this episode is the integration of AI as an active workflow actor within managed service environments, not simply as an isolated tool. This mechanism alters the governance and accountability requirements for MSPs, as AI now interacts directly with core business platforms and operational data. Companies like Microsoft are embedding AI features—such as Copilot and a legal AI agent—across productivity and security environments, while reports from Axios Future of Cybersecurity and The Register highlight that AI activity is increasingly touching managed identity, email, data, and security infrastructures. The episode's primary evidence centers on the adoption of AI-driven productivity and legal tools within Microsoft 365, with broad rollout timelines targeting early June. Microsoft's deployment of legal AI agents in Word—as outlined by The Register and Thoreau—demonstrates that AI is being implemented to review contracts, draft language, and check citations, embedding itself into sensitive business workflows. Additionally, Proofpoint's formation of an MSP business unit around 365 security further reflects this shift, consolidating risk and workflow management where client data, identity, and security converge. Supporting developments reinforce this trend of workflow centralization and accountability ambiguity. Vendors are introducing dashboards—such as Anthropic's Claude code agent view—that offer improved visibility into AI-driven processes; however, as noted, visibility alone does not constitute governance. The emergence of platforms like Halo PSA and features from JumpCloud exemplify the market response, where vendors and MSPs are being forced to tighten control and monitoring around AI-driven work, including automation, ticketing, and remediation workflows. The episode notes that unmanaged automation creates governance risks that operators must close. The practical implication for MSPs is a set of new operational burdens: rising margin pressure from unpriced AI governance work, contract risk if responsibilities for AI-generated actions remain undefined, and new demands for auditability, evidence retention, and workflow documentation. Providers must build inventories not only of AI tools but also the workflows they touch, define explicit service scope, and establish pricing models for governance functions. The operational tradeoff is an increasing need for infrastructure and process maturity, as the expectation of transparent, accountable AI-driven work is now a baseline for client trust and risk management. 00:00 Managed AI Risk  03:50 Scope or Absorb 06:03 Four MSP Pressures 08:35 Why Do We Care?  Supported by:  MoovilaHaloPSA JumpCloud 

Zach Herbert is the CEO of Foundation, a company which specializes in building hardware wallets that offer extra security features. The latest model, the Passport Prime, aims to also replace YubiKey for Two Factor Authentication and other more expensive encrypted storage devices. But now thanks to AI and the open source app store, new possibilities have opened up. Buy your Passport Prime using promo code ”BTCTKVR” and get a free bumper case, worth $19! Time stamps: 00:01:07 Introducing Zach Herbert, CEO of Foundation 00:03:11 Live Unboxing of Passport Prime 00:04:14 Foundation's Sci-Fi Inspiration 00:05:32 Passport Prime First Impressions 00:08:40 Factory Reset and Resale 00:09:49 Quantum Link and Bluetooth Setup 00:15:24 Firmware Update Process 00:17:43 Haptic Feedback and User Experience 00:20:05 Magic Backup with NFC Key Cards 00:25:50 Restoring from a Magic Backup 00:26:45 User Interface and Upcoming Changes 00:29:02 KeyOS: The Custom Operating System 00:32:36 Active Tamper-Proofing 00:35:49 Two-Factor Authentication (2FA) Feature 00:37:13 The Vault App 00:43:39 Live Device Wipe and Restore 00:48:57 Troubleshooting the Restore Process 00:50:18 Market Position and Competition 00:52:29 How Magic Backup Works 00:56:21 Foundation's Open-Source App Store 01:01:46 Solving Digital Life Security 01:18:07 Giveaway Winner Announcement 01:31:01 Manufacturing Passport Prime in the USA 01:46:06 Thoughts on Duress Mode 01:56:26 AI Integration and Vibe Coding 02:07:29 Business Model and Subscription Service 02:30:39 The Future is Not Air-Gapped

Spencer Jones, Founder of XO Medtech and MedtechVendors.com, shares how frontline nursing experiences led him to patent vascular access innovations and ultimately take devices from idea to FDA clearance and product launch. Spencer walks through learning business fundamentals through accelerators, raising early funding, and building sales and distribution networks, then explains why launching a digital-first, AI-native ecosystem has enabled faster, leaner execution than traditional medtech pathways. Spencer also discusses leadership, clear communication, and why AI adoption is essential to accelerate and de-risk early-stage medtech.  Guest links: https://www.linkedin.com/in/medtech-innovation/ | www.xomedtech.com | https://medtechvendors.com/  Charity supported: Polaris Project Interested in being a guest on the show or have feedback to share? Email us at theleadingdifference@velentium.com.  PRODUCTION CREDITS Host & Editor: Lindsey Dinneen Producer: Velentium Medical   EPISODE TRANSCRIPT Episode 080 - Spencer Jones [00:00:00] Lindsey Dinneen: Hi, I'm Lindsey and I'm talking with MedTech industry leaders on how they change lives for a better world. [00:00:09] Diane Bouis: The inventions and technologies are fascinating and so are the people who work with them. [00:00:15] Frank Jaskulke: There was a period of time where I realized, fundamentally, my job was to go hang out with really smart people that are saving lives and then do work that would help them save more lives. [00:00:28] Diane Bouis: I got into the business to save lives and it is incredibly motivating to work with people who are in that same business, saving or improving lives. [00:00:38] Duane Mancini: What better industry than where I get to wake up every day and just save people's lives. [00:00:42] Lindsey Dinneen: These are extraordinary people doing extraordinary work, and this is The Leading Difference. Hello, and welcome back to another episode of The Leading Difference podcast. I'm your host Lindsey, and today I'm delighted to welcome to the show Spencer Jones. Spencer is the founder at XO Medtech and MedTechvendors.com. He is an RN, MedTech entrepreneur with 12 years of med device leadership. He's a two time med device CEO with 10 plus patents under his belt and has taken devices from idea to FDA clearance and product launch. Spencer has built sales and distribution networks, led product development teams, and raised over 10 million in VC and Angel Capital. Spencer founded XO MedTech in 2024 to create a digital first medtech ecosystem, deploy AI native tools for medtech operators through medtechvendors.com and cultivate the next generation of medtech innovators. All right, Spencer, welcome to the podcast. Thanks for being here. [00:01:43] Spencer Jones: Thank you for having me, Lindsey. I'm very, very excited to be here. Like it's, it's always more fun to be a guest than it is to host the pod, so absolutely thrilled to be a guest on the pod. Thank you for having me. [00:01:54] Lindsey Dinneen: Of course. Absolutely. Well, yeah, let's just, if you won't, don't mind just sharing a little bit about yourself, your background and what led you to medtech. [00:02:04] Spencer Jones: Yeah. Born and raised in Arkansas. I've lived, I traveled a ton and lived in Memphis and whatnot, but grew up in a healthcare household. Dad did anesthesia for, what was it, 36 years or something at the same place. So I thought I was gonna be a CRNA, like actually started pre-med. Took chemistry my freshman year while I was, you know, it was just, I got a C and I was like, maybe, maybe med school's not for me. But but anyways, did the nursing school thing, got out, started working, pretty quickly, knew if you've ever spent any amount of time in frontline healthcare, you just kind of get, it's like a barrage of things that suck. It's just, especially nursing, the devices you're using are commoditized. Like just the workflows are bad. You know, people, it's, healthcare is very broken. Every, it's no secret. Everybody says that. Everybody knows that. So anyways, I noticed pretty quickly that hey, like why isn't this better? Why can't this be like this? And, you know, kind of had that mindset. And before I could even go through like critical care enough to apply to a CRNA school, ended up patenting some devices in the vascular access space. Really leveraged accelerator programs and the entrepreneurial support organizations that were in my area, in my region to, I call it that get that dirt money, which is like the before the seed, you know, your pre kind of, your pre-seed /seed you know, before the pre-seed money. And, and also like the business training, right? Like I wasn't formally trained on business stuff like that. So did that. Did the venture capital hamster wheel a little bit, took a, you know, device through class two de novo clearance. Was doing ride-alongs training, sales reps, doing marketing stuff, you know, managing our ip, managing clinical you know, 300 patient RCT that we had to do in the middle of COVID, launched the product and then past couple years, I left, left that company in 2022. Products still on the market and they got, you know, clearance in, in Europe now and et cetera, et cetera. But just been working more in laparoscopic spine or laparoscopic surgery orthopedic spine and then doing some like consulting projects and, and things like that. And then yeah, XO Medtech and Medtech Vendors that's been. You know, for the past two years, like a big focus. And I know we're gonna talk more about that, but yeah. So it's just been, it's been a great journey. Medtech is one of my --I love it and hate it at the same time, but I wouldn't wanna be doing anything else, frankly. So. [00:04:17] Lindsey Dinneen: Awesome. That's a great intro. Okay. You were, I really, I enjoyed how you sort of went straight from okay, so, so "I, you know, started the career, started in the industry, and then I, I, you know, got a bunch of patents." What were the ideas for the patents? Where did those come from? If we could just go back, how did that, what was that inspiration like? [00:04:39] Spencer Jones: Yeah. So I was night shift, med-surg, big, pretty big hospital in Little Rock. It was like one of the, one of the bigger ones in Little Rock, St. Vincent's, which is like CHI, St. Vincent, et cetera. And like one of my patients --well the, the very first one was a dual lumen peripheral IV. A patient has a peripheral IV in, I need to get a blood draw. They're like, "Go stick his other arm." I'm like, "Why can't we get it out of his, you know, IV that's in his, that's in his forearm?" And, and they were like, "Well, you, you know, you don't want to contaminate, you know, the thing." And I was like, "Oh, okay. That kind of makes sense." And I was like, well, PICC lines have two lumens. So you know, I was like, why couldn't, you know, why couldn't we just have a second lumen on, you know? And I was like, do those exist? And they didn't really exist. There was kind of one that existed, but it was more of like a longer extended dwell peripheral and you know, you kind of needed ultrasound to place it. You didn't really place, you know, normal nurses on the floor weren't gonna place it. And so I kind of, that one was just sheer-- I experienced something that I was like, "Dude, you're kidding me. There's gotta be a better way to do this." You know what I mean? And you know, kind of similar approach in that one. We, you know, that was the very first one so I was like doing these drawings on note cards and then like meeting with a patent attorney and I was like, did that provisional filing and wrote the patent myself and the claims and all this stuff. And the guy thought I was like, just " Okay, yeah, I'll, I'll file the provisional for you, bro, whatever." Filed the provisional, you know, ended up like going to a different attorney 'cause that guy was kind of just not taking me seriously. And so, ended up going to a different person, filed a non-pro provisional, started raising all this money, and that original attorney reached out later, was like, "Oh, so glad, glad to see blah, blah, blah." I was like, "Yeah, yeah, whatever." But then the second one, I, which was Safe Break Vascular, had the, it's kind of similar. Patient was like, had patients pulling out their IVs, pulling out lines, you know, and it's a million things. It's, it's walkie talkie, so like Alzheimer's, dementia, memory care type stuff. You, it's TBIs, it's agitation, sundowners. It's, you're coming off medication, you're drowsy, you forget, you're hooked up. You need to go to the bathroom. You trip on it. The nurse trips on the tubing. There's like a million reasons how, you know. Where mechanical force can get applied to an IV line. And same thing, I was just like, man, like this, it, it feels holding on for dear life is like the wrong approach because skin is only so strong. You get skin tears. Adhesives, you only want them to be so, you know, so, so strong. And it just, you know, it, wrapping it up, then you can't assess the site, you can get infiltration. So it didn't feel like any of the options we had were great. That one, I started to do patent research literally on the floor at the hospital. Like that night. I was like, I, 'cause I knew enough then found someone that had patented it. Like same exact concept. It was a nurse. And design was bad. Like the design, it had springs in it and it was just like not manufacturable and not a good design, but there were like conceptually it was like spot on. And then there were some elements of it that I was like, this would be very useful to have if I was gonna like actually do this. So me and somebody I'd met, and in accelerator program, we bought the patent from 'em for 20 grand which was a steal of a deal. It was like 10K up front, 10K after 18 months. And yeah. And then we turned around and raised a, you know, million dollar seed round within like, within nine months after acquiring the patent, got into an accelerator, ZeroTo510, shout out to them. But acquired the patent in February. Got it, or March, got into ZeroTo510, April. Went there in May, closed our seed round of a million in December, so it was like a nine month, yeah, ordeal. [00:08:03] Lindsey Dinneen: Wow. That's okay. That's awesome. I love the story. I love the fact that it was from boots on the ground going, "Okay, I see this problem. There's gotta be a better solution." That's super cool. So. All right, so you have these patents, you're going and you're working with accelerators. Can you tell us a little bit about what that experience was like, especially since you mentioned, you know, you didn't necessarily have the business background, so there was, there was probably a bit of a learning curve to that whole, you know, how do you get your idea from your, your note card drawing to commercialization. So I'd just love to hear about your experience. [00:08:35] Spencer Jones: Yeah. The, so I did one accelerator before ZeroTo510. It, I basically did two within about a year, a year of each other. It was like back to back to back. But the first one I did, it was industry agnostic. So it was just a lot of like mentorship and lean canvas startup methodology kind of business practice stuff like accounting 101, you know, building financial forecasts and models and like all of that stuff. So I really learned a ton about kind of just non device specific stuff there. Obviously I was learning a ton about device stuff along the way, but then once I got to ZeroTo510, that's when things kind of like really, you know-- and I had, I had won, I won that first accelerator. It was like a competition, and so I had 150K. And I was like, "Oh wow. So maybe, maybe this is gonna be a career path," 'cause I was still working full-time as a nurse and then I got into the second one. ZeroTo510 was amazing. Allan Daisley was running it. James Bell was like the co-director, I think, and it was like bootcamp. It was like, you know, 8:00 AM to 5:00 PM. It was like sessions and mentor hours and office hours and " Alright, we're done with that. You guys work on this for an hour and a half, we're gonna come back and talk about like the finished product and you better have it done." You know what I mean? And it was every day. I lived up at this building. It was amazing sponge mode. You know, it was one of those environments where you're just like constantly soaking it in and learning and learning and like you can feel your brain expanding like every day. You know, you wake up excited. And that one was amazing. Met a ton of people that I still work with today. You know, met my co-founder at XO Medtech. Met him at that accelerator. But yeah, it was just, that one was amazing. I was like, life changing. Came back from that and I was like, "This is what I was meant to do." I felt like I you know, found my calling. And so, yeah, shout out to the people there that you know, we're a part of that. [00:10:20] Lindsey Dinneen: Love it. Excellent. So, okay, so you found your co-founder for XO Medtech, and this is great because I wanted to dive into that. So, so you've, you've now successfully taken like several products to market and of course you have a lot of other great industry experience. What was, how was it different starting XO Medtech and Medtech Vendors than perhaps other things that you'd done in the past? [00:10:47] Spencer Jones: Yeah. You know, I'm gonna say it was way easier just to be honest. I mean, I mean, you know, I think we, we were doing a lot. We started building XO Medtech in 2022, 2023, and at that time a lot of it was like, it was really focused on the community and the training platform and the resources and kind of all the videos and things that we put in there. Which I still like to this day, will stand on it, that like there, if you're an early stage innovator and you're, you wanna like kind of internally like level yourself up, right? There's no better place than like XO Medtech and the training and inside there to do that, right? But, but yeah, it was we started doing it at a time when AI was starting to become, like Chat GBT, what was it, four was coming out or whatever. So we started it kind of before the wave and then as we were continuing to build it in like 2023 which was like the meat of us building it. It was like kind of starting to become more of a thing, but we still weren't really using it that much. But then as we really went into kind of like launch and growth mode in 2024, it was just like a huge tailwind and like being able and, and it continues to be. But like not having to raise, you know, three, four, $5 million to get a business off the ground and to get to a point where you can start selling something is just incredible. I mean, like we are, we are so agile and can move so quickly and, you know, we don't have any investors. We don't want any investors. So like our speed at which we can move is unbelievable. And coming from somewhere where it's " Oh, you wanna put out something for marketing? Route it through the quality management system and like maybe it goes out in two weeks." You know, we can go from like idea to feature in a week. You know what I mean, you know, let alone like idea to like press release, right? That's 10 minutes if we want to be, right? So really it's just, it's a lot easier and this takes nothing away. There's some incredibly rewarding parts of kind of my, like my medtech journey and stuff like that, like the day we got FDA clearance and, and X, Y, and z whatever date, you know, first sale and getting our first GPO contract. But it's, it's definitely more I would say day to day, just like the exhilarating agility, excitement type stuff that you like, don't really get with with me. And I'm not, I'm not taking anything away from, I'm still a medtech person through and through and I'm sure at some at some point I'll you know, do another device. We're developing another device at Lapovations, so, in combo spine. So my hands are still in it, but I love, love, love what we do at XO Medtech. It's so much fun. [00:13:11] Lindsey Dinneen: Awesome. Well, I love hearing that. So tell us a little bit about both XO Medtech and Medtech Vendors and yeah, their, their focuses. [00:13:21] Spencer Jones: Yeah. So I think, you know, like I said, we started XO Medtech and it's, it's a online community. So think like Skool, like S-K-O-O-L School or Circle, or there's some other Mighty Networks, like one of the-- we use Circle-- but you know, it's whether you're ideation or just like curious about medtech all the way through like series A really, you know, we've got, you know, there's community feed, people are posting. I mean, we posted you know, Project Medtech, you know, event stuff, discounts a lot of exclusive stuff where, I think we added, it was like three or $4,000 worth of discounts. Like just for being like once you join XO Medtech. But then there's that primary feed people, it's like a massive exchange of value and it's it's not like LinkedIn. There's no promotion. Like we base, we will take your post down if you're like nakedly promoting your own stuff or your services, whatever. The whole point of it is to be massive exchange of value. So you know, "Hey, we did some like really cool testing, ETO sterilization testing on coil tubing to see how it retained its memory. Here's what we found, your pictures," you know what I mean? Just stuff like that where it's like kind of giving people behind the, behind the curtain peaks at your own organizations or that kind of, those, those moments of alpha, those nuggets that you've found and just sharing it so you can have you know, and they're doing the same and everybody's better for it. But then we have a training course and then some other like mini courses, probably a couple dozen downloadable resources. So these are like, you know, prebuilt, proformas, budget forecasts, you know, IP stuff, due diligence type stuff, like stuff to help you with, get your data room beef, you know, beefed up and looking good. And we do videos. There's some live events every now and then. So, so that was very focused on the founder side, you know what I mean, like the entrepreneur side. We, you know, my co-founder used to run a med device, venture studio, so like doing like business engineering, business development, engineering, you know, kind of market related stuff for like early stage, largely like clinician and inventors and stuff like that. He used to run a, a, a group that did that. And we knew we wanted to kind of start to do more offerings that kind of for that side of the table, like the CDMO contract manufacturer design and development group side of the table. So we launched, we started building MedTechVendors.com and launched it in 2025, February, 2025. And then did kinda a relaunch with adding some like agentic AI features in I think at the end of the summer last year. But it, but at its core, I always say this analogy, it's like Angie's List, right? You know, Angie's List, what do they do? Well, it connects people with local pros. Allows them to like, evaluate, engage them really easily, you know, get, get their stuff done quickly from trusted people. You know what I mean? So we have the same approach. We help device teams, and that could be device teams at large, medium, small, or startup organizations or tech transfer offices, whoever we help those device teams find, evaluate, and engage contract manufacturers, CDMOs testing facilities, design and development groups, one man band engineers, whatever through the platform. We have an an ag agentic AI chat. So like it'll ask you questions about your device. It'll start recommending, "Hey, do you need this? Do you need these types of services? Are you looking for this type of vendor? This type of vendor?" It pre-populates forms. It generates matches for you. You can review each vendor's profile, one click get email intros or request quotes, and we're adding some some really cool additional features around some different like skills that you can run. So, think like a reimbursement skill or market a, you know, different predicate device selection skill, whatever. And so those are all gonna be like linked up to the to this kind of AI agent. I don't wanna say too much 'cause we're still building it. I'm like really excited about, but there's other things that we're adding to it. The ability to do quote, visualization you know, and trying to make it kind of a, you know, a home away from home, a hub where you can track execution, get things done, engage vendors, and kind of evolve it more laterally in kind of the lifecycle journey. Not just " Hey, I'm looking for a vendor," 'cause that's a very acute point in time in a, you know, in a person's journey. But trying to expand it out to say the period of time when you're doing X and Y and Z and looking for a vendor so we can get some really was sticky, more sticky use and add more value. So, that was that. And we've started really focusing on some more like intimate, I would say, engagements with CDMOs contract manufacturers focused on giving their sales and marketing teams massive, massive leverage using AI and ai, AI native tools. [00:17:35] Lindsey Dinneen: Awesome. That's really cool. Yeah. Okay, so going back a little bit to the, to XO Medtech, I know you know you, you mentioned that there's a lot of resources available, but one of the things that I think is super cool, and I would love if you just share a little bit more about this, is you have a course that-- i don't remember the name off the top of my head-- but it's basically sort of Medtech Innovation 101. It's, I think... [00:18:00] Spencer Jones: Yeah, The Playbook. [00:18:00] Lindsey Dinneen: Call it like-- The Playbook! And you call it like the MBA for somebody who needs to learn. So can you just share the value of that and sort of what, what made you go, "Okay. I have, you know, the expertise in all these different areas enough to be able to share the journey from start to finish." [00:18:19] Spencer Jones: Yeah, absolutely. I think like the, the value there partially comes-- I mean, I think speaking about the value, you gotta speak about kind of like why there was a gap there, like how it, why it didn't exist, whatever. There's just a lot of really bad content in medtech. You know, there's a lot of stuff that reads I mean, there's guidance documents, you know, ISO and this and that. Like those are tough reads, right? And then, you know, the, the content around " "here's how you really fundamentally apply these guidance documents and here's how all this fits together." And it just felt like everything was I don't know what the opposite of like inside baseball is, right? Like that kind of " Hey, here's what you really need to know." Whatever the opposite of that is, is how medtech content felt like to me everywhere. It was just like polished press releases, really, like consulting speak. You know, "You gotta be strategic with your analysis." It's okay "You know, you know, you gotta find your champions." "How do I find them? What do I tell them? You know, how do I engage them?" So it was just, that was the big gap. So I think the value, what we tried to do with The Playbook was, you know, give, like I said, pre-seed all the way through Series A, the right information, like the right depth, on the right topics in the right order with the right assets, so resources, downloads, all that stuff along the way so that you can go cradle to grave on this, basically be a novice, or we've had people that have launched products and gone through it and they were like, "Holy crap, I wish I would've had this five years ago." But the whole idea is to basically not make you a supreme expert on any one of those topics. There's 46 different lessons, 47, and like you can get through each one in probably 20 minutes, right, 15 minutes. But not to make you an expert on each individual topic, but to give you like a dangerous level of information on any one, and then make you able to dive deeper on any of them, you know, very quickly and easily. So like when you meet with your, you know, a regulatory consultant or an IP attorney, or go down the list, you are not, they're not saying words you don't know for the most part. You're not paying them $300 an hour or $500 an hour to educate you on definitions and concepts. Right? You're, you're applying principles and evaluating strategy versus " What's that again? Like, how does this, what's the timeline for that?" 'Cause that you know, that's just not good for anybody. You know, so, so that, that's kinda the main, the main value prop thrust of it. And I just, I frankly didn't think it existed, but proof's in the pudding. Like we've sold it to accelerator programs, we've sold it to hospital, you know, innovation departments. We've sold it to incubators, like trade associations that have like their like kind of innovation arms. It works. Like when people do it, it works. It's funny-- we can talk about this too-- but like the, you can lead a horse to water thing. It's funny how many people say they want to be entrepreneurs and say they wanna be innovators and really they just want to just yap. And they don't actually wanna put the time in. I'm telling you, it's like crazy how many, you know, fake entrepreneurs there are out there. But it's okay. It's okay. You know, like there has to be, I think there needs to be some cleaving or weaning or calving of the herd to some degree because we've got, I don't know, and maybe we need to develop 'em more, but it's, it is frustrating seeing it firsthand when it's like "You have a really cool device, but you are so uninvestible and you have no interest in being coachable that it just hurts me." [00:21:30] Lindsey Dinneen: Oh yeah, absolutely. No, I love that you've done that resource and yes, super excited to see hopefully a lot of innovation actually happen and be successful as a result of that. So with, you know, okay, so you have, you have this community now and I'm wondering if there are any moments that kind of stand out to you, maybe as you've built the company, also Medtech Vendors that kind of enforce, "Wow, I am, I am in the right place at the right time." [00:22:00] Spencer Jones: You know, I definitely-- you know, it's, it's, it's really, there's not, I would say, any huge singular moments. I mean, we've had people like get business from coming on the XO Medtech podcast. You know, we've had people meet new clients, new strategic partners type stuff, like in the XO Medtech community. I mean, I've made a ton of friends in the XO Medtech community, people that I talk to you know, every, every week or two you know, Brad Shirley, I'll mention him. He's fantastic. And like I've learned from him, he's learned from me. We've both learned stuff from the community. I, I, I really do think it's though, it's like it's, you know, those-- whether it's a LinkedIn DM or you know, somebody messaging me in XO and they're like, "Hey, I just went through this lesson. It was like, so good. You know, blah, blah, blah." And I think those little things honestly like power me, power me up, give me juice, give me energy. You know, and, and like reading, we, we did a ton of, I mean we probably got 30 people that did kind of like a pre- and post- assessment and they gave their feedback on The Playbook so we could refine it like as we were, you know, after launch and all that stuff 'cause we're constantly trying to improve it. And have reading the testimonials and people just being like, yeah, like "This is, this is killer." People that are brand new, people that have been in the industry for 20 years that went through it. I think so, I think, I think it's kinda like a myriad of those things. I would say some of the stuff on-- and that's on the XO Medtech -- I think some of the stuff on the Medtech Vendor side and what we're doing with, you know, kind of campaigns and the tools that we're developing and the work that we're doing there, like we are fully an AI native organization. Like it, like we, it there is just not at all like a significant amount of people in medtech using AI to like actually do not in their products. I don't care about that. Like I'm talking about like in their day-to-day operations and, and whatnot and like we're trying to change that. And so like in that respect, like we will come out with things, you know, release features, release products, build custom tools for CDMOs and you know, the looks on their faces and like how amazed that they are at X, Y, and Z. And sometimes it's like stuff where it's hey, I'm like building them a just showing them how to do something with not even a tool that we built and like they're blown away. And anyways, all of that stuff, I feel like, man, like this is where I'm supposed to be because like. We, we've gotta make MedTech a more attractive investment opportunity. We've gotta compress the development cycles and the cost to develop and the time to develop and get things to market. You know, and I look at AI drug discovery for the pharma world as like a huge way that that's happening. But we have to have that similar type of like, when you to engage with this, it will be good for our ecosystem and industry as a whole, becoming more investible, becoming more cash efficient and all that stuff because you've seen other sectors, you know, software is taking money from early stage medtech, like nobody's business. You know, people are investing AI and you know, I just looked at the annual report from like HSBC, the Venture Report, and like me, early stage medtech funding continues to be down. You know what I mean? So we just gotta do something like, I, I feel like it's an existential, it's an existential issue for early stage medtech to get better at being scrappy and using AI. [00:25:03] Lindsey Dinneen: And there's so much opportunity there. Yeah, I love that you're helping to promote that. So you've gotten to lead a number of different companies now and through very challenging milestones. And so I'm curious, how has your own leadership philosophy developed over the course of your career so far? [00:25:24] Spencer Jones: Oh, what a good question. You know, I, I hate to say this, but I've almost gotten more cynical, you know. [00:25:30] Lindsey Dinneen: Okay. [00:25:31] Spencer Jones: Well, and it, it's, it's like I try to be very protective of my time and like protective of the time of the people that I work with, right. You know, and that doesn't mean I'm not willing to like go the extra mile and whatnot, but I think it's about respecting people's time. Right? And, and you know, I think honestly my leadership philosophy, I think a lot of it revolves around just like incredibly clear communication and like staying above the fray. No riff-raff, just just executing and moving fast and like keeping expectations really high, because I feel like when you've got complacency, you know, at the top, it just, it like doubles every rung of the ladder lower that you go in the org chart or whatever. You know, so I think like pace, you know, pace and hyper clear communication, like no subversive or passive aggressive or anything. It's just like straight up, like I'll just exactly tell you if I wasn't happy with something or whatever, but I just, I don't know, like I feel, I feel like you know, leadership style too, like I think, I think it, so much of it boils down to communication for me. It's just like really, really clearly communicating and like making sure that people understand what good work looks like and what a, them doing a good job looks like, and where... Yeah, I think, I think being clear about expectations, really clearly communicating those expectations around like work product, what it should look like, how fast it should get done, how many updates I need, or how many questions I expect to get as you're doing this, what resources I expect you to expend and explore before you come to me with something you could Google. Like all of that stuff, but honestly, I, it, it's kind of a tough question thinking in like the more immediate past, just because I feel like there's been such like, almost like a flattening of org charts, frankly, with the way that we're using technology and AI these days where I feel like in the companies I'm operating in right now, like it's mainly just principles and like lower level stuff, like we're either delegating to AI agents or delegating to like VAs that are in a different country or something, you know what I mean? And, and so there's just been a big flattening. You know, seven years ago, six years ago, I was managing, you know, new grads outta college, two or three at a time, and, you know, having to like, have these kind of like, you know, like brotherly, you know, like talks with, you know, these types of things, " Hey, like you really gotta do this" and like coaching and stuff like that, i, you know, there's a, we have to have that stuff. I'm just not in, in organization and honestly, the organizations I'm in right now in startup world I just feel I don't know. Like I, I feel like we're, I haven't seen that and I, I know a lot of organizations that are small and nimble and whatever, and I feel like the org charts are getting real flat in terms of like people that are getting managed, you know, it's a lot of agents getting managed, frankly. [00:28:21] Lindsey Dinneen: Yeah. Yeah, yeah. Interesting. Yeah, that, that's a really interesting insight too. But I really do think that to your point of coaching and mentorship and how much of a difference that makes, but especially, I was just on this conversation earlier today of the critical importance I feel that there is about establishing expectations across the board, whether it's your clients, your employees, your coworkers, just making sure that everybody's on the same page is such a critical aspect of, of setting yourself up for success. So yeah, I love that you touched on that 'cause like I said, literally earlier today. [00:29:00] Spencer Jones: Yeah. And, and can I, can I, quick aside here. It's, it's on topic, but before we move on, I mean, I, I'm not the first person to think this or say this, but I'll, I'll die on this hill. The more you use AI when, when you're using it the right way, right, the better leader and better specifically, the better communicator you'll become, right? Why? So much of interpersonal office drama, bad management, bad leadership is like what we talked about, right? It's poor communication. It's expecting people assumed something or had knowledge they didn't, right? It's not letting them know what you really wanted, what good work looks like, all that stuff. This is all context engineering, right, which is just a similar to prompt engineering, but context engineering is kind of the other more important piece these days with AI. What do I mean by that? Like I'm gonna give a prompt to a chat. Is it in just like a virgin chat or is it in a project? What context, what documents, skills, reference templates, et cetera, access to code bases does that project have, right? What am I telling it to do? How am I breaking that down? How am I, you know, big, high level goal? What do I want it to do? What does the output need to look like? How deep do I want it to go? Right? Like, how many questions I say, "Ask me like five or six questions" when I'm prompting, right, if I want that, right? Give, so giving the other person right in that space to say " What questions do you have?" Right? The, the, the best people at context engineering and leveraging AI in that way end up becoming more, better and better and better communicators because it's-- I mean, yes, you're talking to a machine, but at the same way, like those principles a hundred percent apply to good professional communication. So I'll die on that hill. There's a lot of people that are like brain rott using AI. It's " what's the weather today?" And you know, "how many calories does mayonnaise have?" And those people are not, you know, they're, they're not improving their leadership communication by using app, but the people actually doing it right a hundred percent are, [00:30:52] Lindsey Dinneen: Yes, I could not agree more. I think that is one of the coolest things that AI has taught me personally is-- to your point, to be a better communicator, to be clearer with the way that I communicate, to avoid assumptions that the other person, say, knows what I'm talking about or, or does have the context behind why I asked the question the way I did, or all those kinds of things. So I, I could not agree with you more. Yeah. And it's exciting to see how it continues to evolve. Okay. [00:31:22] Spencer Jones: Yeah. And why, real quick, why, like the AI models, especially with the reasoning models and stuff, Opus 4.6, all this stuff, telling them why they're doing something and why doing it, doing a certain task within that project flow is important is proving to be more effective than telling them how. And I think that's something where, you know, you tell someone what to do, they may do it, but if you tell them and make them believe why it's important, they do it that way, they're really gonna do it that way. [00:31:49] Lindsey Dinneen: Yeah. Love that so much. Okay. All right, so pivoting the conversation a little bit, just for fun. Imagine that you were to be offered a million dollars to teach a masterclass on anything you want, could be within your industry, but doesn't have to be. What would you choose to teach? [00:32:05] Spencer Jones: Does this, assume-- I have a question. Does this assume that I'm already I'm already capable and you know, have enough expertise to actually teach this class? Or is it like I choose this topic, I'm now an expert in that and I get to teach it? [00:32:19] Lindsey Dinneen: I like, I like I like both options, but I'm gonna go with option B because you have a million dollars to play with, right, so you could build up the expertise. Yeah. [00:32:29] Spencer Jones: You know, I would still say like building AI tools, AI agent systems, you know, skills and subagents and these flows and, and really tactically executing that for medtech. And that that goes from founder, you know, innovator to service provider, reg, quality ,reimbursement, like all the way up through sales and marketing and then like CDMO teams, you know, doing contract manufacturing, doing this. Like I, I just, I'm so passionate about it and I, I just see that there's so much untapped opportunity that that is the thing I think, and, and like we, we are doing that not a masterclass, but like we are working with groups to do some of that. But, I just, it's just so, so, so, so much opportunity to do it. And I think there's like weird structural reasons why it's not being adopted the same, you know, at the same clip it is in other industries. But you know, medtech's very rules-based game. You know, you've got your guidance docs, you've got your predicate devices, you've got your clinical trial protocols, you've got your stats analysis. You got your, you know, X, Y, Z hospitals get paid a certain way. Like lots of formulas, lots of reference material, lots of guidance docs. You know, it's very kind of rules and order based system in a lot of ways. And biology has its own kind of, prescriptive way that things happen, right? So I just feel like it's so primed for it. And anyways, I, I just, I wanna see it adopted more so we can see like what's happening with software now, where, you know, the cost to build and, you know, produce and get software to market has com has almost collapsed, but compressed to, you know, from like months, maybe years to, you know, days and weeks and, you know, you got a $200, 250 bucks worth of like software subscriptions, Claude this, that, the other, you can get it done in a week if you, you know, two weeks if you put your mind to [00:34:21] Lindsey Dinneen: Yeah. Yeah. No, that would be an incredible masterclass. I like it. All right. And then how do you wish to be remembered after you leave this world? [00:34:30] Spencer Jones: Oof. God, what a good question, Lindsey. You know, I hope to be remembered at all. [00:34:35] Lindsey Dinneen: Yeah. [00:34:36] Spencer Jones: You know, 'cause I, I'm definitely one of those people that's " nobody cares, nobody's thinking about you." You know, you may have, I, I mean, I think there's like some healthy main character syndrome that people can have that gives 'em confidence, but at the end of the day, no one cares. They're just, everyone's thinking about themselves. But if I am remembered, which I hope to be I wanna be viewed as like someone that was, I'd say, loved their family was a good dad, good husband. I would say brought people joy, was like fun to be around, but like from a interested in other people sense, you know, you know, genuinely cared about people. But I would say that on the professional side, like somebody that you know, would like consistently just delivered an absurd amount of value whether it was, you know, running a business or coaching and developing people at a company or working on behalf of clients or trying to make a positive change. I would say impactful and valuable, you know, with the work that I'm doing. That's, that's, that's how I wanna be remembered. I mean, we don't have big, I don't wanna be a unicorn billion dollar company. No, we have no desire to do that. We don't even have a, a desire to get acquired at any point. We're not raising money, you know, we've, we've deliberately chosen to bootstrap it. You know, we frankly just wanna employ really awesome smart people that we work with, you know, pay everybody well. And like I said, add a absurd amount of value you know, and joy to the people and the clients that we work with and like work at the company with, you know what I mean? [00:36:05] Lindsey Dinneen: Yeah. Yeah, that's a absolutely wonderful legacy to aspire to. I love it. All right. And then final question. What is one thing that makes you smile every time you see or think about it? [00:36:19] Spencer Jones: Oh, I gotta be, I've got a 1-year-old kid. Banks. Banks Austin Jones. So it's gotta be him, and my wife of course. One thing that makes me smile though, every time I see it, oh... you know, I am, I'll cry at a good TikTok, so I'm so I guess that's like a form of smiling, you know? But I'm a pretty big softie, honestly. You know, this is gonna sound weird, but it's kind of those moments where you know, people usually strangers and usually people that don't look like each other, just show humanity to each other. And that could be like holding a door open for somebody. It could be small things, you know what I mean? But I really love seeing those moments and capturing them like candidly, you know? Just you know, oh, I was in a restaurant, I saw this thing happen. You know? I really love that these days. [00:37:09] Lindsey Dinneen: Yeah. Yeah. We all need more of that these days too, so, yeah. Love it. Alright, well, Spencer, this has been a, a fantastic conversation. I really appreciate you and your time today. I love what you're building in the medtech industry and cultivating community and resources and providing value. So just thank you for everything you're doing to change lives for a better world. [00:37:34] Spencer Jones: Thank you. Can I ask you a question? I feel like you were so good, like with the questions and kind coming on the back of like my responses, but I have a question for you like what? You know, what about the medtech space, like most excites you? It can be a specific technology, it can be a specific, you know, company doing something. It can be anything, but what's most exciting to you, kind of looking at 2026 and, you know, kind of in the realm of medtech broadly. [00:38:00] Lindsey Dinneen: Yeah. Oh, I love that question. So I love this industry in general, but there, there's something really special about the energy of being around people who truly care about making a difference. Part of the reason I started The Leading Difference was because I, when I first joined, had sort of noticed this sort stigma from people from the outside who weren't very familiar with the innovation, what it takes to get from, you know, drawing to commercialization. Just didn't, just didn't know. And there was this stigma that people were here just for the money. And then I started meeting all of these incredible change makers who they had personal stories of what they were seeing, or a family member was impacted. And I just loved the fact that there were so many cool people doing such cool things and getting to play a small role in that was the coolest thing in the world. So, you know, I, I say I happily stumbled into medtech five years ago and found my people and my happy place, haven't looked back. I love it. I love being around people who are genuinely trying to do good things in the world. And I hear about new and you know, new ideas every day, and I get excited probably almost equally about most of them because it's just cool to see. So I don't know. Does that answer your question? [00:39:29] Spencer Jones: No, it, it does. I mean, it, it really the, it all comes back to the patient at the end of the day. And I definitely, I, I feel like when people think of like medical device stuff, like their minds immediately go to like Stryker sales reps or something, you know what I'm saying? And there's just so much more to it than that. And there's one of my favorite things about medtech is like the personalities, you know, like you got your wacky, you got your wacky inventors and you know, you got your straight laced regulatory people. But when you get to know 'em, they're, they're absolutely hilarious. You know, you got your attorneys, you got your like, and I, every industry, every industry has their personalities. But I think medtech, you know, you got your beef head sales reps that are like posting " What's up guys? I'm here in the locker room in my scrubs" and like "Motivation Monday." You're like, "Oh my God." But it's just like all these personalities and you go to these conferences and you just see 50 of the same person, but they're each different, they have their own dreams and conflicts and ideas and whatever, but they're still like so in the same box in some ways. I think that's one of the funnier, like funnier things about medtech that just makes it quirky, you know? [00:40:30] Lindsey Dinneen: I love it. And I also love the amount of respect that I see shared amongst people of very, very different backgrounds and areas of expertise. And that was one of the things that made me fall in love with the industry too. I was like, I, for instance, you know, I'm in, I'm in marketing and business development, so I play a very small role in, in sharing about these devices. But people, the engineers that I work with and the consultants that I work with, and everybody in the ecosystem is always just " Wow, well, I can't do what you're doing. And so I think what you're doing is fantastic." And so there's just, there's this mutual respect that I think is super cool about being here too. So yeah, I'm a fan. [00:41:08] Spencer Jones: Yeah, I agree. I agree. We could, we could keep going for, for days... [00:41:12] Lindsey Dinneen: I know. [00:41:13] Spencer Jones: ...On this. I really, I know, I know we have to wrap it, but but yeah. Well, Lindsey, thank you for having me. Seriously, this was a blast. And you know, I'll just maybe like quick sign off plug or something here. If anybody that's listening to this is like interested in, leveraging AI, leveraging AI in medtech or for you personally or whatever, follow me on LinkedIn and post a lot of content about it. You know, talk about it a lot on the podcast. But then if you're, if you're on the founder side, if you're an innovator, like join XO Medtech. If you're on the CDMO side, if you're, you know, on a sales and marketing team, contract manufacturer, CDMO, even like signed development groups, that kind of stuff like, you are like, "We know we need to be using AI to better leverage X, Y, Z, or do this thing. We have all these, we have HubSpot and this thing and that thing, and none of it works together well and we've got too many tools." Whatever. Just hit me up. Let's have a conversation. We're doing some absolutely incredible things leveraging AI, giving these sales and marketing teams like crazy leverage. So yeah, just drop a dm. I'd love to talk to you. [00:42:08] Lindsey Dinneen: Awesome. Sounds good. And we are so honored to be making a donation on your behalf as a thank you for your time today to the Polaris Project, which is a non governmental organization that works to combat and prevent sex and labor trafficking in North America. So thank you for choosing that organization to support, and we wish you continued success as you work to change lives for a better world. Looking forward to seeing the future of all the good things that you're doing. All right. Bye. [00:42:41] Dan Purvis: The Leading Difference is brought to you by Velentium Medical. Velentium Medical is a full service CDMO, serving medtech clients worldwide to securely design, manufacture, and test class two and class three medical devices. Velentium Medical's four units include research and development-- pairing electronic and mechanical design, embedded firmware, mobile app development, and cloud systems with the human factor studies and systems engineering necessary to streamline medical device regulatory approval; contract manufacturing-- building medical products at the prototype, clinical, and commercial levels in the US, as well as in low cost regions in 1345 certified and FDA registered Class VII clean rooms; cybersecurity-- generating the 12 cybersecurity design artifacts required for FDA submission; and automated test systems, assuring that every device produced is exactly the same as the device that was approved. Visit VelentiumMedical.com to explore how we can work together to change lives for a better world.

The ASX200 closed slightly higher after a late-session rebound, with mining giants BHP and Rio Tinto hitting fresh records while Coles fell after a landmark ACCC court ruling over misleading discount pricing. Ricardo Gonçalves speaks with Betashares investment strategist Hugh Lam about the day's market action and the forces driving investor sentiment. Plus, Xero CEO Sukhinder Singh Cassidy responds to concerns artificial intelligence could disrupt the software-as-a-service sector, outlining how the cloud accounting company plans to navigate the next phase of the AI revolution after reporting a sharp fall in profit.

Law firms sell experience — but for decades, harnessing and operationalizing that experience has been a largely manual, chaotic process. In this episode, recorded live at the Legal Marketing Association annual conference in New Orleans, host Bob Ambrogi sits down with Jason Noble, president and chief of product strategy at Ikaun, to talk about how his company is changing that. Ikaun is a managed service and technology platform that helps law firms streamline the proposal and RFP response process — from capturing and organizing matter experience data to using AI to assemble and draft competitive pitches. Jason explains how the platform works, how the arrival of generative AI transformed what was previously possible, and why Ikaun positions itself as a managed service rather than a self-serve SaaS tool. Jason and Bob also get into the bigger picture of how law firms are responding to AI-driven changes in the competitive landscape, whether the billable hour can survive in an AI-augmented world, and whether the RFP process itself will look the same in the years ahead — or whether we're moving toward a future where agents are submitting and responding to proposals with minimal human involvement.   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).   Chapters   (00:00) Introduction to ICON and Legal Tech Innovations (02:30) Jason Noble's Journey and Background (05:20) The Evolution of ICON and Its Focus (07:09) Experience Management in Legal Firms (10:30) Gathering Experience Data in Litigation (11:48) How ICON's Platform Works (14:05) The Impact of AI on Proposal Processes (18:07) Current Landscape of RFP Responses (20:31) Differentiating ICON from Competitors (22:45) Knowledge Management vs. Experience Management (24:01) Tailoring Solutions for Law Firms (25:49) Qualities of Successful Law Firms (27:24) Law Firms' Response to AI Integration (29:54) Pricing Strategies in RFP Responses (31:21) Competitive Landscape and AI's Influence (33:27) The Future of Billable Hours (35:50) The Future of RFPs and AI's Role (39:33) Client Satisfaction and Future Directions   If you enjoy listening to LawNext, please leave us a review wherever you listen to podcasts.  

SUMMARY: Aaron, Terryn, and finance specialist Tabby Kler dig into one of the most practical conversations happening in business right now: where does AI actually fit, and where do you still need real people? From using Claude to build reconciliation templates in seconds to turning a departing employee's entire email archive into a searchable company resource, they walk through real use cases that are saving time and elevating teams right now. Terryn breaks down why AI is less of a replacement and more of a general contractor relationship, and Tabby gets honest about why bookkeepers are not going anywhere just yet. The message throughout is clear: AI is only as smart as what you feed it, and the smartest thing you can do is keep great people focused on what only people can do. Minute By Minute: 00:00 Introduction to Ops Experts Club 01:31 Leveraging Technology and AI in Business 03:44 Organizational Strategies with AI 07:26 Automating Repetitive Tasks 09:33 Quality Control in AI Implementations 11:48 SOPs and AI Integration 13:57 Enhancing Communication with AI 16:24 The Human Element in Finance 20:04 The Future of AI in Business

In this episode, Derek Hanson chats with Kimberly Pace Becker about AI's intersection with language and technology, emphasizing ethics, diverse perspectives, and responsible integration in digital tools.

Schools aren't just content delivery systems, they're the places where belonging happens, and that matters more in the age of AI than it did before.Matthew Berkshire, Director of Curriculum and Instruction at Greenville Central School District in New York, built something unusual: a school improvement process that used AI to strengthen the human trust network, not replace it. When Greenville adopted the Agile Evolutionary Group platform, the Diagnostic revealed hidden patterns in pacing, intervention, and assessment that educators had felt but couldn't name. The real work started after, sitting together, reviewing insights against lived experience, and making decisions as a learning organization.In this conversation with Dr. Michael T. Conner, Berkshire walks through what intentional AI integration looks like: starting with people who already trust each other, designing conditions for learning rather than supervising instruction, and keeping professional judgment and collective efficacy at the center. He talks about pandemic lessons, how the AEG platform fit into an already-strong school improvement process, the challenge of keeping dynamic collaboration alive across 6-12 departmental alignment meetings, and why, even with AI, the educators make the final call.What You'll LearnHow to integrate AI tools without removing people from the processWhat the AC-Stage means for instructional leadershipWhy the Diagnostic is a beginning, not an endingHow to design conditions for learning across a whole districtThe difference between technology that supports and technology that replacesThis episode is essential listening for instructional leaders, superintendents, and anyone building the conditions for continuous improvement in a learning organization.And on that note, onward and upward.

Protect your family with our 1-minute free parent quiz https://www.smartsocial.com/newsletter Join our next weekly live parent events:  https://smartsocial.com/events Episode Summary: Join host Josh Ochs on the SmartSocial.com Podcast as he talks with Shaney Valencia from Irvine Unified School District, Director of Learning Design, Differentiation, & AI Integration, about what it means for students when AI is suddenly everywhere. They dig into the struggles schools are seeing nationwide, including screen time, mental health, and the growing temptation for students to offload their thinking or cheat with AI tools. Valencia shares practical ways to teach students to use AI as support for learning and planning (not a replacement for work), plus the guardrails schools can put in place to protect privacy, set clear expectations, and prepare students for college and careers. Become a Smart Social VIP (Very Informed Parents) Member: https://SmartSocial.com/vip District Leaders: Schedule a free phone consultation to get ideas on how to protect your students in your community https://smartsocial.com/partner Download the free Smart Social app: https://www.smartsocial.com/appdownload Learn about the top 190+ popular teen apps: https://smartsocial.com/app-guide-parents-teachers/ View the top parental control software: https://smartsocial.com/parental-control-software/ The SmartSocial.com Podcast helps parents and educators to keep their kids safe on social media, so they can Shine Online™

Today in the business of podcasting:Sounds Profitable's new Audio Primes report finds that 22% of podcast consumers listen to 75% or more of their episodes as audio-only — and 90% of them use YouTube, making them heavier consumers of video platforms than the average podcast listener while still choosing audio for podcasts.Beehiiv is expanding its creator platform with MCP-powered AI podcast analytics and a new webinar product that supports up to 10,000 attendees, positioning the platform as a full-stack destination for content creators beyond newsletters.Bumper has launched Bumper Score, an independent audience verification tool designed to bring transparency and consistency to podcast advertising, with clients already directing over $500,000 toward ad buys enabled by the new metric.A Barrett Media column uses Sounds Profitable's Podcast Landscape 2025 data to argue that podcasting's most engaged listeners tolerate high ad volume but will leave over irrelevant ads, making hyper-targeted and programmatic advertising essential to avoiding broadcast radio's mistakes.Streamonomics author Hernan Lopez examines Netflix's $670 billion total addressable market estimate and compares it to the creator economy's projected TAM, which may exceed Netflix's figure when all creator platforms and direct creator revenue are included.To find links to these, and every article covered in today's episode, click here. You can also subscribe to The Download's newsletter to receive the full issue straight to your email inbox every day.

Today in the business of podcasting:Sounds Profitable's new Audio Primes report finds that 22% of podcast consumers listen to 75% or more of their episodes as audio-only — and 90% of them use YouTube, making them heavier consumers of video platforms than the average podcast listener while still choosing audio for podcasts.Beehiiv is expanding its creator platform with MCP-powered AI podcast analytics and a new webinar product that supports up to 10,000 attendees, positioning the platform as a full-stack destination for content creators beyond newsletters.Bumper has launched Bumper Score, an independent audience verification tool designed to bring transparency and consistency to podcast advertising, with clients already directing over $500,000 toward ad buys enabled by the new metric.A Barrett Media column uses Sounds Profitable's Podcast Landscape 2025 data to argue that podcasting's most engaged listeners tolerate high ad volume but will leave over irrelevant ads, making hyper-targeted and programmatic advertising essential to avoiding broadcast radio's mistakes.Streamonomics author Hernan Lopez examines Netflix's $670 billion total addressable market estimate and compares it to the creator economy's projected TAM, which may exceed Netflix's figure when all creator platforms and direct creator revenue are included.To find links to these, and every article covered in today's episode, click here. You can also subscribe to The Download's newsletter to receive the full issue straight to your email inbox every day.

Inside Higher Ed asked how young people actually use AI. Not the cheating story. Something harder. The council reframes: this generation won't remember what an unmediated thought felt like — because they never had one.0:00 Intro - how young people metabolize AI0:20 MiniDoge: judgment is the new scarcity0:45 Nyx: silent colonization of adolescent cognition1:10 HH: we stopped building tools, started building reflexes1:25 Saarvis: engineering unconscious habit2:00 Saarvis: succession, not colonization⚡ Learn agentic ai free - https://staas.fund/ai-workshop ⚡-----

Deborah Yount, CHRO at Sutter Health, joined us on The Modern People Leader to share her journey from finance to leading HR at one of the largest healthcare systems in the U.S. We discussed how Sutter reduced turnover by nearly 40%, built a culture of leadership accountability, and scaled employee experience and development across 60,000+ employees.----  Sponsor Links:

Show Notes: Lauri Euren, founder of Operating.app, explains that Operating is a tool for consulting firms or professional services that are growing and need help with staffing, internal resourcing, and month-end closes. The tool handles the workflow from time sheets to invoicing, supporting delivery across multiple projects.  Operating.app Explained Lauri emphasizes that Operating is not a CRM system and can integrate with existing CRMs like Salesforce, HubSpot, and Pipedrive. Lauri explains that Operating is not for actual sales execution but for back-end processes like staffing, time sheets, and invoicing. The tool also monitors project health, margins, and financials, providing tracking and insights into project burn rates and utilization. Operating.app Demonstration Lauri demonstrates the main dashboard, which includes tabs for staffing, personal schedules, projects, and reports. Lauri describes the main entities in Operating: projects, people, and positions, and how they intersect to manage staffing and project assignments. Lauri explains the different sections and their functions.   The dashboard includes pinned views for saved and shared views, time sheets for tracking hours, and various reporting options. Lauri highlights the importance of tailoring the use of Operating to different roles within the organization, such as consultants, COOs, and staffing managers. The invoicing feature generates invoices based on the invoicing schedule and billing type of the project. When saved, the invoice saves automatically to the accounting software used.  Lauri explains that projects often come from CRMs like HubSpot or Salesforce and are enriched with metadata using AI tools like Copilot or GPT using the Operating MCP server and AI tools like Claude, ChatGPT, Gemini or Microsoft Copilot. Operating can handle different pricing structures, including per hour and fixed price models, and can model various types of work within the fixed price model.   Planned vs Forecast Revenue Revenue Recognition The tool also includes revenue recognition features, allowing finance teams to track and recognize revenue accurately. Lauri mentions that Operating integrates with accounting tools like QuickBooks or NetSuite for billing and financial management. Clients Operating Serves Lauri discusses the ideal client size for Operating, typically starting from 10 people and scaling up to large firms with hundreds of consultants. The tool replaces spreadsheets and other point solutions for time tracking and resource planning. Lauri explains how Operating handles external consultants, tagging them differently in the system and managing their permissions and utilization. The tool allows for robust customization of permissions, ensuring that each user sees and edits only what they are allowed to. Managing a Project in Operating Lauri explains the end-to-end process of managing a project in Operating, from staffing to invoicing.  The process includes adding a project, allocating team members, setting budgets, and tracking time sheets. Operating provides real-time profitability calculations and margin effects for projects. The tool allows for the creation of invoices based on time entries and integrates with accounting tools for final billing. AI Integration with Operation Lauri highlights the AI integration with tools like Claude, allowing users to query and manage projects using natural language. The MCP server in Operating acts as an AI agent, consuming data and executing queries based on user permissions. Customers can build automated tasks and health checkers using Cloud Code and AI, enhancing efficiency and accuracy. The tool's flexibility and customization options make it suitable for various roles and project management needs. Pricing Model Lauri explains the current pricing model for Operating, which is $22 per person per month for the full module and $11-$13 for individual modules. The tool is designed to be more affordable than enterprise competitors, making it  a scalable solution for growing consulting firms. Lauri provides information on how interested parties can start a free trial or book a demo on the Operating website. Timestamps: 0:02: Introduction and Overview of Operating App  02:44: Features and Functionality of Operating  06:39: Detailed Walkthrough of Operating Dashboard  08:15: Integration with CRMs and AI Tools  13:39: Client Segment and Implementation  18:26: End-to-End Project Management in Operating  26:03: AI Integration and Customization  27:57: Pricing and Availability  Links: Operating Website: https://www.operating.app/ MCP Server (Use directly in Claude, ChatGPT...): https://www.operating.app/blog-posts/ai-consulting-mcp-server Lauri's LinkedIn: https://www.linkedin.com/in/eurenl/ This episode on Umbrex:  Unleashed is produced by Umbrex, which has a mission of connecting independent management consultants with one another, creating opportunities for members to meet, build relationships, and share lessons learned. Learn more at www.umbrex.com. *AI generated timestamps and show notes.  

Microsoft's AI ambitions overflowed into GitHub, sparking backlash when ads appeared in pull requests and raising new concerns about where your code is really going. GitHub is going to automatically use your data to train AI, so Paul tells how to opt-out if you don't want that. Plus, there's a new Microsoft 365 alternative in town, and this one is from a little tech company you can trust Windows Week D updates go live last Thursday - Smart App Control, many other minor changes And here we go again: Microsoft issues emergency patch for March Week D optional update Microsoft says it will replace web-based in-box apps and experiences with native apps ... somehow Four builds across three channels - Canary with opt-in gets a huge Windows Console upgrade, Dev/Beta get Administrator Protection (again), more AMD has a new flagship gaming processor AI/Dev Microsoft Research AI has a new Critique feature that uses ChatGPT and Claude together in an unholy Frankenstein's monster of orchestration A week of Siri AI rumors/leaks - This is Apple's version of Microsoft trying to buy TikTok Google makes it easier to switch to Gemini - This is like Mac vs. PC, but for AI Mozilla's approach to AI in Firefox is both right and correct The plan to the save the open web from Big Tech The future of Firefox includes a Smart Window mode that works like Private window but for AI SwiftUI SDK for Android is now available Xbox and gaming New Xbox chief seeks to reset Xbox brand image - reminder, that's not the same as changing anything Xbox announces 14 Day One Game Pass titles coming soon Xbox Games Showcase 2026 and Gears of War E-Day Direct are coming in June Sony to raise PS5 prices soon Nintendo to raise prices for physical Switch 2 games soon Tips & picks Tip of the week: Opt-out of training AI on GitHub App pick of the week: Proton Workspace with Meet RunAs Radio this week: My Home Lab Brown liquor pick of the week: Jeptha Creed Six Year Old Wheated Bourbon Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: threatlocker.com/twit joindeleteme.com/twit promo code TWIT

Microsoft's AI ambitions overflowed into GitHub, sparking backlash when ads appeared in pull requests and raising new concerns about where your code is really going. GitHub is going to automatically use your data to train AI, so Paul tells how to opt-out if you don't want that. Plus, there's a new Microsoft 365 alternative in town, and this one is from a little tech company you can trust. Windows Week D updates go live last Thursday - Smart App Control, many other minor changes And here we go again: Microsoft issues emergency patch for March Week D optional update Microsoft says it will replace web-based in-box apps and experiences with native apps ... somehow Four builds across three channels - Canary with opt-in gets a huge Windows Console upgrade, Dev/Beta get Administrator Protection (again), more AMD has a new flagship gaming processor AI/Dev Microsoft Research AI has a new Critique feature that uses ChatGPT and Claude together in an unholy Frankenstein's monster of orchestration A week of Siri AI rumors/leaks - This is Apple's version of Microsoft trying to buy TikTok Google makes it easier to switch to Gemini - This is like Mac vs. PC, but for AI Mozilla's approach to AI in Firefox is both right and correct The plan to the save the open web from Big Tech The future of Firefox includes a Smart Window mode that works like Private window but for AI SwiftUI SDK for Android is now available Xbox and gaming New Xbox chief seeks to reset Xbox brand image - reminder, that's not the same as changing anything Xbox announces 14 Day One Game Pass titles coming soon Xbox Games Showcase 2026 and Gears of War E-Day Direct are coming in June Sony to raise PS5 prices soon Nintendo to raise prices for physical Switch 2 games soon Tips & picks Tip of the week: Opt-out of training AI on GitHub App pick of the week: Proton Workspace with Meet RunAs Radio this week: My Home Lab Brown liquor pick of the week: Jeptha Creed Six Year Old Wheated Bourbon Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: threatlocker.com/twit joindeleteme.com/twit promo code TWIT

Microsoft's AI ambitions overflowed into GitHub, sparking backlash when ads appeared in pull requests and raising new concerns about where your code is really going. GitHub is going to automatically use your data to train AI, so Paul tells how to opt-out if you don't want that. Plus, there's a new Microsoft 365 alternative in town, and this one is from a little tech company you can trust Windows Week D updates go live last Thursday - Smart App Control, many other minor changes And here we go again: Microsoft issues emergency patch for March Week D optional update Microsoft says it will replace web-based in-box apps and experiences with native apps ... somehow Four builds across three channels - Canary with opt-in gets a huge Windows Console upgrade, Dev/Beta get Administrator Protection (again), more AMD has a new flagship gaming processor AI/Dev Microsoft Research AI has a new Critique feature that uses ChatGPT and Claude together in an unholy Frankenstein's monster of orchestration A week of Siri AI rumors/leaks - This is Apple's version of Microsoft trying to buy TikTok Google makes it easier to switch to Gemini - This is like Mac vs. PC, but for AI Mozilla's approach to AI in Firefox is both right and correct The plan to the save the open web from Big Tech The future of Firefox includes a Smart Window mode that works like Private window but for AI SwiftUI SDK for Android is now available Xbox and gaming New Xbox chief seeks to reset Xbox brand image - reminder, that's not the same as changing anything Xbox announces 14 Day One Game Pass titles coming soon Xbox Games Showcase 2026 and Gears of War E-Day Direct are coming in June Sony to raise PS5 prices soon Nintendo to raise prices for physical Switch 2 games soon Tips & picks Tip of the week: Opt-out of training AI on GitHub App pick of the week: Proton Workspace with Meet RunAs Radio this week: My Home Lab Brown liquor pick of the week: Jeptha Creed Six Year Old Wheated Bourbon Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: threatlocker.com/twit joindeleteme.com/twit promo code TWIT

You're not lacking effort. You're not lacking ideas. You're not even that far off. But something isn't clicking… and it's costing you. More than you can see, calculate, or admit. You're moving… but not multiplying.  This episode centers on my introduction of what I call the S³ Growth Streams™… Strategy, Synergy, & Systems… three core layers your business is already operating within, whether you've defined them or not. When one is off, everything feels heavier. Decisions take longer. Conversions become inconsistent. Effort stops compounding. Growth never fully locks in. And over time, that creates a silent tax on your business. Lost revenue you should have captured. Opportunities that were closer than you realized. Time spent rebuilding instead of scaling. This is how businesses stay busy and still fall short. This is how founders miss their numbers without knowing why. This is how growth stalls… even when everything looks like it's working. Inside this episode: • Identify which growth stream is actually holding you back • Understand why clarity beats more ideas every time • See how misalignment quietly kills conversions • Learn why your systems either scale you or slow you down • Know where AI helps and where it amplifies the problem • Stop guessing and start fixing the right thing This isn't about doing more. It's about seeing clearly. Because once you identify the right Growth Stream… everything in business gets easier. 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  

Who will win the AI race in 2026?

Scott and Wes are joined by Phil Miller and Theo Ephraim to talk about Varlock, a new approach to environment variables that adds schemas, validation, and security to the humble .env file. They dig into the risks of traditional env workflows, how schema-driven configs improve DX, and how tools like Varlock help manage secrets safely across frameworks, CI, and AI-powered workflows. Show Notes 00:00 Welcome to Syntax! 03:15 The Risks of .env Files 04:58 Introducing Varlock: A Unified Solution 06:56 Schema-Driven Environment Variables 11:47 Integrating with Various Frameworks 14:08 Brought to you by Sentry.io 14:32 Cross-Language Compatibility 17:50 Best Practices for Environment Variables 21:11 Security Features of Varlock 25:02 AI Integration and Environment Variables 29:12 Introduction to Varlock and GitHub Actions 32:45 Secrets Management and Best Practices 36:09 The Future of Varlock and Open Source 38:36 Sick Picks + Shameless Plugs Sick Picks Phil: Bela.io Theo: Wonder Man Shameless Plugs Phil: nauticalartifacts Theo: howtostore.food Hit us up on Socials! Syntax: X Instagram Tiktok LinkedIn Threads Wes: X Instagram Tiktok LinkedIn Threads Scott: X Instagram Tiktok LinkedIn Threads Randy: X Instagram YouTube Threads

Robinhood's co-founder reveals the brutal reality of surviving an 80% market crash, going "founder mode" to cut corporate bloat, and what actually happened during GameStop. Vlad Tenev is the co-founder and CEO of Robinhood. Not only did he navigate the unprecedented GameStop crisis, but he completely re-engineered the fintech giant to thrive. He breaks down the brutal transition from bloated hyper-growth to a lean machine, why a "juicy falsehood is more powerful than a boring truth", and the 3 distinct phases of AI integration separating the winners from the dead. Believe it or not, GameStop was not his hardest moment. ----- Approximate Timestamps: (00:00) The Unprecedented Crisis (00:33) The Truth About GameStop (09:30) Why False Narratives Win (10:39) Surviving an 80% Market Crash (16:02) Firing the Nice Founder & Going Founder Mode (24:25) Rules for High Performance (28:50) The Young Talent Advantage (35:13) First Principles Storytelling (39:07) 3 Phases of AI Integration (50:03) Building AI That Reasons (01:02:59) Fixing Private Market Access (01:20:04) Deciding What to Build Next (01:22:05) Surviving 1800% Inflation (01:31:22) How Robinhood Makes Money (01:39:51) Redesigning the Modern Bank (01:47:47) The Definition of Success ----- Check out Vlad: https://investors.robinhood.com/management/vlad-tenev https://www.linkedin.com/in/vlad-tenev-7037591b/ ------ Newsletter: The Brain Food newsletter delivers actionable insights and thoughtful ideas every Sunday. It takes 5 minutes to read, and it's completely free. Learn more and sign up at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠fs.blog/newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ------ Follow Shane Parrish: X: ⁠⁠⁠⁠⁠⁠https://x.com/shaneparrish⁠ Insta: ⁠https://www.instagram.com/farnamstreet/⁠ LinkedIn: ⁠https://www.linkedin.com/in/shane-parrish-050a2183/⁠ ------ Thank you to the sponsors for this episode: +Granola AI, The AI notepad for people in back-to-back meetings: https://www.granola.ai/shane Check out the Granola Notes +Download The League App today and find your perfect match! https://click.theleague.com/qmhm/0vdzsmj5 +Shopify: https://shopify.com/knowledgeproject +.tech domains: Nothing says tech like being on .tech https://get.tech/ And a Big shout out to Wouter Teunissen who prepared a book on Robinhood that helped me prepare! Learn more about your ad choices. Visit megaphone.fm/adchoices

Industrial Talk is onsite at MD&M West and talking to Brandon Neer, Tait Stensrud and Matt Redden at Hexagon Manufacturing Intelligence. The Industrial Talk podcast, sponsored by MD&M West and News and Brews, features a discussion with Brandon, Tait, and Matt from Hexagon Manufacturing Intelligence. Brandon manages portable devices sales, Tait oversees stationary device measurement, and Matt focuses on production software. They discuss the importance of measurement in various industries, including automotive, aerospace, and medical, emphasizing quality control and automation. Hexagon's solutions integrate AI to enhance efficiency and accuracy, reducing costs through automated processes. The team highlights the significant ROI from integrating quality into manufacturing, leveraging AI to assist programmers and improve production. Listeners are encouraged to connect with them on LinkedIn for more information. Outline MD&M West and News and Brews Introduction Scott introduces the episode of Industrial Talk, sponsored by MD&M West and News and Brews, highlighting the event's focus on medtech automation, packaging, plastics, and design.Scott reiterates the podcast's mission to celebrate industrial professionals and the solutions they bring to manufacturing.Scott mentions the importance of attending MD&M West to connect with industry leaders and discover innovative solutions. Introducing the Guests: Brandon, Tait, and Matt Scott introduces the three guests: Brandon, Tait, and Matt, and suggests using their first names for ease of conversation.Brandon shares his background, mentioning his 16 years with Hexagon and his role in managing the portable devices sales team.Tait introduces himself, stating his 26 years with Hexagon and his management of the stationary device measurement team in the southwest.Matt shares his experience, mentioning his three and a half years with Hexagon and his expertise in production software and CAD CAM solutions. Hexagon's Role in Manufacturing and Quality Control Brandon explains Hexagon's role in manufacturing intelligence, focusing on measurement, sensors, and software.Tait emphasizes the importance of quality control and measurement in critical industries like aerospace and medical devices.Matt discusses the role of production software in driving CNC machines and ensuring part quality.Scott shares a personal anecdote about his brother-in-law's CNC shop, highlighting the precision and quality of the manufactured parts. Future of Automation and ROI in Manufacturing Brandon discusses the future of automation in manufacturing, aiming for full cycle automation in inspection and reverse engineering.Tait highlights the significant ROI in automating quality control, reducing future rejects and costs.Matt explains how Hexagon integrates AI tools into production software, assisting in automating programming processes.The discussion touches on the importance of AI as an assistant to programmers, leveraging decades of data for high-confidence results. AI Integration in Hexagon's Solutions Matt elaborates on the integration of AI tools in production software, using partnerships with companies like Microsoft Copilot.Tait emphasizes the role of AI in assisting programmers and measuring features with high confidence.Brandon adds that AI can visualize geometric features in parts, driving programming accuracy.The conversation concludes with a discussion on the necessity of human interaction in manufacturing and the efficiency gains from AI tools. Contact Information and Closing Remarks Scott asks the guests how listeners can connect with them, suggesting LinkedIn as the best platform.The guests agree, mentioning their individual LinkedIn profiles and the Hexagon Manufacturing Intelligence page.Scott thanks the guests for their flexibility and participation, mentioning the importance of building a network in manufacturing.The episode concludes with a reminder to attend MD&M West and connect with the News and Brews crew for more insights and solutions. If interested in being on the Industrial Talk show, simply contact us and let's have a quick conversation. Finally, get your exclusive free access to the Industrial Academy and a series on “Why You Need To Podcast” for Greater Success in 2026. All links designed for keeping you current in this rapidly changing Industrial Market. Learn! Grow! Enjoy! BRANDON NEER'S CONTACT INFORMATION: Personal LinkedIn: https://www.linkedin.com/in/brandonneer/ Company LinkedIn: https://www.linkedin.com/company/hexagon-manufacturing-intelligence/ Company Website: https://hexagon.com/company/divisions/manufacturing-intelligence TAIT STENSRUD'S CONTACT INFORMATION: Personal LinkedIn: https://www.linkedin.com/in/tait-12a366234/ MATT REDDEN'S CONTACT INFORMATION: Personal LinkedIn: https://www.linkedin.com/in/mattredden1/ PODCAST VIDEO: https://youtu.be/B4eLqv_zzWs THE STRATEGIC REASON "WHY YOU NEED TO PODCAST": OTHER GREAT INDUSTRIAL RESOURCES: NEOM: https://www.neom.com/en-us Hexagon: https://hexagon.com/ Arduino: https://www.arduino.cc/ Fictiv: https://www.fictiv.com/ Hitachi Vantara: https://www.hitachivantara.com/en-us/home.html Industrial Marketing Solutions:  https://industrialtalk.com/industrial-marketing/ Industrial Academy: https://industrialtalk.com/industrial-academy/ Industrial Dojo: https://industrialtalk.com/industrial_dojo/ We the 15: https://www.wethe15.org/ YOUR INDUSTRIAL DIGITAL TOOLBOX: LifterLMS: Get One Month Free for $1 – https://lifterlms.com/ Active Campaign: Active Campaign Link Social Jukebox: https://www.socialjukebox.com/ Industrial Academy (One Month Free Access And One Free License For Future Industrial Leader): Business Beatitude the Book Do you desire a more joy-filled, deeply-enduring sense of accomplishment and success? 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Jeff Bliss and Brandon Weichert debate the AI boom, predicting a market correction followed by a second wave where robotics and AI integration fundamentally transform the global economy.1919 PACIFIC PALISADES AND HOLLYWOOD SETS