Podcasts about ai strategy

In this episode of the Pure Report, we are joined by Melody Zacharias, Technical Evangelist Director at Everpure. We start by digging into Melody's background: decades as a DBA going all the way back to COBOL and DB2, early SQL Server deployments, multiple published books, a longtime Microsoft MVP, and an executive MBA she just finished. We discuss what she took away from that MBA program — unlike a lot of people who treat it as three letters on a business card, she found virtually everything immediately transferable to her actual work. From there, we dive into the core premise: a lot of AI projects and data consolidation initiatives are stalling, and the teams running them often can't articulate why. Her argument is that the failure isn't necessarily technical — it's linguistic. AI is moving so fast that people are not only unfamiliar with the vocabulary, they're actively misusing it, and they don't understand why it matters to them. We walked through four layers of the same stack, each answering a different strategic question, using a back-to-school analogy she built out. Data primacy is the primer — one shared notebook every classroom works from, instead of a different notebook per room. Data lineage is what goes inside that primer. Basically, the family tree of your data, where it came from, where it's going, and how it connects. Next is Ontology, her favorite, and the layer she says people are forgetting right now, the grammar and spelling: the context that tells a system an order number in your CRM and a number in another system are actually the same thing. And the Enterprise Data Cloud is the school building itself, the structure that holds the students, the classrooms, and the books together in one environment. We also talk through why this is happening now. The app-centric era of standalone CRM, ERP, and SCM systems built silos that aren't going anywhere. The advantage goes to organizations that can extract value from information regardless of where it sits. That requires context, and context is exactly what AI lacks unless you give it to it. Tribal knowledge lives in people's heads; AI has no tribal knowledge, and no human can manually sift millions of data points to find the connections. We connect this back to a previous episode where we covered the stat that 95% of AI pilots fail, and Melody noted that at events like PASS Summit this conversation is only just starting to surface — teams know their projects failed, but not that the root cause was people not understanding each other. Her closing thought sums up the whole episode: words matter. Melody has a companion blog post on this topic, and she's hosting a community session with Argenis Fernandez of Nike demoing how to discover ontology inside your own organization. To learn more, visit: https://pure.ai Check out the new Everpure digital customer community to join the conversation with peers and Everpure experts: https://purecommunity.purestorage.com/ 00:00 Coming Up and Intro 01:56 Melody's Background with Data 07:48 Language Used Around AI 10:18 Defining Data Primacy 12:55 Data Lineage 14:10 Ontology of Data 19:53 Enterprise Data Cloud

In this Start With a Win episode, you'll meet Jill Riley, a global change strategist who's spent decades helping people break free from outdated systems. Discover the power of the '10 Permissions' and learn how to navigate profound change in your life and business. Join host, Adam Contos for a conversation that challenges you to unlearn the old rules and give yourself permission to write new ones. Get ready to step into transformation and reinvention with Jill's insights from post-apartheid South Africa to AI-era classrooms.Jillian Reilly - author, global change strategist, and creator of The Ten Permissions.  She works at the intersection of personal development, social disruption, and future readiness - helping people rethink what it means to live, work, and thrive in a world that's rewriting its rules in real time.For 30 years she worked on the frontlines of change - from post-apartheid South Africa to AI-era classrooms. Jillian helped people across generations break out of outdated systems and write new scripts for their lives. Now bringing that expertise to leaders, students, educators, and parents navigating an unpredictable future.00:00 Intro02:27 Thinking it was a six-month trip!04:10 Unlearn to give yourself permission to learn the new06:30 If you don't embrace this way, you will miss out!09:47 No, leaders are not ready…they need to own this!14:28 Thought on AI and how to build into culture18:35 Four great questions to frame the conversations…23:58 It is as simple as this…     Website: https://tenpermissions.com/LinkedIn: https://www.linkedin.com/in/jillianreilly/===========================Subscribe and Listen to the Start With a Win Podcast HERE:

The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews:   Your ERP Vendor's Roadmap Is a Sales Document Beyond the Requirements Checklist: What Really Decides an ERP Selection (Brad Feakes, Estes Group) The 7-Year Contract Is the Riskiest Thing You'll Sign   We also cover a number of other relevant topics related to digital and business transformation throughout the show.  

Jim VandeHei joins Henrik and Jeremy around the launch of his new book, Simplify: Do 50% More With 50% Less, co-authored with Mike Allen and Roy Schwartz. In the conversation, Jim shares how he's leading Axios through AI, from turning himself into an “AI lab rat” to rethinking how the company works.At Axios, Jim gave everyone access to ChatGPT, brought in training, and invited employees who took naturally to the technology to help others across the company. He also shares how AI fellows working directly with him prototype new ideas, why companies should delete unnecessary work before automating it, and how Axios is preparing for a world where more information moves from the open web into social platforms and personalized LLMs.The conversation ends with a bigger question: what story are we telling people about an AI-enabled future? Jim worries that the negative case for AI is vivid and easy to understand, while the positive case often amounts to curing cancer or eliminating work. He makes the case for something more tangible: using AI to make people's work and lives better while preserving human connection and the feeling that what people do still matters.Jim's new book: Simplify: Do 50% more with 50% less“Confessions of an AI Lab Rat”: Read here!Axios: Axios.comJim's LinkedIn: LinkedIn.com/JimVandeHeiKey TakeawaysLeaders need to become AI lab ratsLeaders need firsthand experience with AI to understand what it can do and give others permission to experiment.Give the CEO an AI “SEAL team”Jim's AI fellows help him prototype ideas quickly, stay current, and experiment outside the normal company processes.Delete before you automateBefore using AI to make existing work faster, ask which meetings, processes, and activities shouldn't exist at all.AI needs a better story about what goes rightThe negative future of AI is easy to picture. Jim argues we need a more tangible vision of how AI can improve people's lives without losing purpose and human connection.00:00 Intro: Predictions for the future00:46 Meet Jim VandeHei01:06 Becoming an AI Lab Rat04:21 How Axios Got Everyone Using AI05:46 Who Gets the Most Out of AI?08:27 The AI Understanding Gap11:04 How Jim Keeps Up With AI14:20 Building Axios for an AI Future20:47 The CEO's AI “SEAL Team”23:52 Writing for Humans and LLMs26:49 Delete Before You Automate30:46 The Monthly Mentality35:58 AI-Assisted Writing and Authenticity41:47 The Coming Political Backlash47:42 A Better Story for AI55:25 The Debrief

What You'll Learn in This Episode:In this episode, Catherine McDonald is joined by Dajana Achelpohl to explore the AI readiness gap. The difference between simply giving people access to AI and actually creating meaningful business value from it. They discuss why organizations can invest in AI tools, licenses, and pilot programs yet still struggle to see measurable results or sustained adoption.Dajana introduces a practical five-question framework organizations can use to assess their AI readiness: Why? How? Who? What if? Then what? The conversation begins with understanding why AI is being introduced and connecting it to real business priorities rather than adopting it simply because everyone else is.They also explore why organizations need to understand how work actually gets done before deciding where AI belongs. That means involving the people closest to the work, identifying bottlenecks and repetitive tasks, and integrating AI directly into workflows instead of treating it as another tool sitting alongside the work.The conversation then turns to the people side of AI adoption, including AI literacy, leadership modeling, ongoing coaching, and giving employees the time and skills they need to become comfortable with new tools. Dajana also explains the importance of preparing for AI mistakes through human oversight, strong data practices, clear governance, and practical AI-use policies.Finally, they discuss why AI adoption is not a one-and-done initiative. Organizations need to continuously learn, gather feedback, reinforce AI use through leadership, and determine what happens after pilot programs if they want AI adoption to stick.Key Takeaways:Having access to AI doesn't automatically create business valueStart with the business problem or opportunity—not the AI toolAI must be integrated into how work actually gets doneSuccessful AI adoption requires bringing people along, building AI literacy, and modeling its use through leadershipLinks:https://stephanieangelo.com/http://www.linkedin.com/in/stephanieangelosphrhttps://www.findleansolutions.com/summit-2026/https://www.findleansolutions.com/

IN CLEAR FOCUS: Katie King, CEO of AI in Business, discusses the all-new, second edition of her book, "AI Strategy for Sales and Marketing". Discover how brands can move from AI experimentation to scaled transformation by prioritizing strategy over technology. Katie explains the importance of consent-first, ambient personalization and how ethical AI acts as a trust multiplier rather than a cost center. Listen now to learn how to implement Katie's AI Playbook framework and prepare for Agentic AI.  

Jamie D. Bailey, MBA, CPA, CFE, Executive Vice President and Chief Financial Officer, UTMB Health, discusses UTMB's growth strategy, its expanding focus on AI and opportunities to improve efficiency across healthcare operations. He also shares his approach to empowering teams, developing people and helping leaders move from task execution to strategic leadership.

What are educators actually learning about AI in the classroom after several years of experimentation? In this episode of The Good Life EDU Podcast, Andrew Easton is joined by Matt Mervis, Director of Skills21 and AI Strategy at EdAdvance and co-host of the ChatEDU podcast, for a grounded look at the classroom practices beginning to emerge around artificial intelligence. Rather than focusing on predictions about what AI might do for education, Matt shares what teachers and students are already doing and what appears to be working. The conversation explores examples ranging from AI-supported tutoring and multimodal learning to flipped classroom experiences, custom chatbots that pressure-test student thinking, and students using AI to solve authentic, real-world problems. One particularly useful framing is “human first, AI in the middle, human last” designing learning so that students begin with their own thinking, use AI strategically to challenge or extend it, and ultimately return to human reflection, discussion, and creation. Matt and Andrew also discuss the importance of scaffolding AI use rather than assuming students instinctively know how to use these tools well. That includes giving students low-pressure opportunities to practice, helping them critically evaluate AI responses, providing exemplars, and creating learning experiences where AI supports deeper thinking rather than simply completing the work for them. Another helpful framework explored in the episode is thinking about AI as a clerk, colleague, or coach. Is the tool simply doing a task for us? Is it serving as a thought partner that challenges and extends our thinking? Or is it helping us develop a skill over time? That distinction offers educators and students a practical way to reflect on whether AI is replacing cognition or contributing to it. The conversation also turns to the broader “techlash” surrounding screen time and educational technology. Matt argues for a more nuanced approach that acknowledges the genuine risks associated with AI and digital tools while also resisting blanket rules that treat all screen use as equal. Instead, he encourages schools and communities to examine the purpose and quality of technology use: reducing low-value screen experiences while preserving opportunities where technology enables meaningful learning, creativity, empathy, collaboration, and problem solving. Connect with Matt Mervis Director of Skills21 and AI Strategy at EdAdvance and co-host of The ChatEDU Podcast: https://www.skills21.org/mattmervisbio

Send us Fan MailThis week on ASUG Talks, as we get closer to the SAP ECC end of maintenance deadline, we dive into how organizations can prepare, and the lessons learned from previous SAP ERP transitions. Key InsightsHow S/4HANA and AI adoption are now intertwined The importance of data quality Breaking down the "Palantir fallacy"This week in the ASUG community...Preview the road map for SAP Distributed Energy Resources, via SAP utilities product ownersJoin ASUG on Sept. 16 for a Community Conversation webcast focused on the City of Charolettesville's migration from SAP ECC to SAP S/4HANA CloudMore from ASUG Subscribe the weekly First Five newsletterFind your local ASUG Chapter Register for ASUG Tech Connect

This episode of Do Good to Lead Well opens with a thought-provoking challenge to the familiar refrain, “Let's be more data-driven.” Instead, Sebastian Wernicke, a top TED speaker and globally recognized thought leader, shares the importance of being “data-inspired.” Our discussion focuses on the premise that lasting transformation requires more than dashboards and metrics. We explore the subtle yet crucial difference between optimizing the present and reimagining the future, using data as a catalyst.Listeners will discover why assumptions about objectivity and quick fixes with more data often backfire and how the real edge comes from leaders willing to be curious, challenge their own thinking, and foster environments where their employees can do the same. Key takeaways include actionable methods for reframing challenges, leveraging the “five whys,” and ensuring AI supports, rather than supplants, human judgment.Tune in for an essential guide to leading well in a landscape where data is plentiful, but wisdom and culture are what set winners apart.What You'll Learn- Data-driven versus data-inspired? A key difference for transformational change.- Myth busting: Is data objective? Does ‘data speak for itself?”- Mindset shifts for better decisions.- Why psychological safety matters!- The importance of a “culture first, tech second” mentality.- Embracing human judgment in the AI era.- Dealing with data skeptics.- The (not-so) secret sauce: Data AND culture. Podcast Timestamps(00:00) - The Origin Story of "Data Inspired" (03:14) – What is the Difference between Data-Driven vs. Data-Inspired?(07:21) - The Myth of Data Objectivity(10:26) - Mindset Shifts for Effective Data Use(15:40) - Cultivating Curiosity and the Power of Questions(19:20) - Psychological Safety as the Bedrock of Data Inspiration(22:58) - Culture First, Tools Second: Building Data-Inspired Organizations(25:24) - Leadership Qualities for Data-Inspired Environments(31:09) - Managing Data Quality and Volume(36:57) - The Human Side of AI and Data-Inspired Judgment(42:08) - Overcoming Resistance to Data and Organizational Change(44:43) - Closing ReflectionsKEYWORDSPositive Leadership, AI, Artificial Intelligence, AI Transformation, People-First Leadership, AI Adoption, Transformational Change, Data-Driven, Data-Inspired, Organizational Culture, Psychological Safety, Curiosity, Decision-Making, Data Myths, Data Quality, Machine Learning, AI Strategy, Data Strategy, Business Transformation, Cultural Change, Big Data, Teamwork, Empathy, Storytelling with Data, Overcoming Resistance, Innovation, Problem-Solving, Root Cause Analysis, Five Whys Technique, Human Judgment, Data-Fatigue, Purpose-Driven, CEO Success

Half of consumer question the authenticity of what they see online.

What happens to a professional services firm when AI makes the work faster—but clients expect to pay less?Shawn Yeager, founder of Upshift, works with professional services firms on the commercial implications of AI: not simply which tools to adopt, but what firms should sell and how they should price once parts of traditional delivery become easier to automate. Drawing on three decades working with emerging technologies, Shawn argues that AI is exposing the weaknesses of the billable-hour model while increasing the importance of judgment, trust, relationships, and commercially differentiated expertise.Joe and Shawn discuss how firms can map services into exposed, compressing, defensible, and emerging categories; why boutiques may have an advantage in experimentation; and why AI transformation needs to begin with business-model thinking rather than technology deployment. They also explore productization, subscription-based services, AI-enabled leverage, pricing and packaging, client validation before building new offerings, and what the rise of forward deployed engineers could mean for consulting firms.In this episode you will learnWhy AI is putting pressure on the traditional billable-hour model.How to classify services as exposed, compressing, defensible, or emerging.Why judgment and trusted relationships remain difficult to commoditize.How AI can enable new subscription and recurring-revenue offerings.Why firms should validate client problems before building AI products.How pricing, packaging, and positioning need to evolve alongside delivery.Why AI transformation should start with commercial outcomes, not technology.Chapters:(00:00) Introduction(00:16) Meet Shawn Yeager(01:13) From Microsoft to AI(03:07) AI Changes Consulting(05:44) Faster Horse or Car(07:59) Investor AI Due Diligence(10:42) Mapping Service Exposure(14:05) Subscription Advisory Future(15:07) New Skills and Leadership(17:23) Automation in Practice(21:55) Case Study Pricing Reset(27:01) Build vs Business Outcomes(29:48) Spinouts and New P&L(31:51) Forward Deployed Engineers(35:53) Closing ThanksResources:Follow Shawn on Linkedin: https://www.linkedin.com/in/shawnyeager Website: https://upshiftco.com/ Send us Fan MailProf. Joe O'Mahoney helps boutique consultancies scale and exit. Follow Joe on LinkedIn:https://www.linkedin.com/in/joeomahoney/Follow Joe on Twitter:https://twitter.com/joeomahoneyVisit Joe's Website:https://www.equitysherpa.com

The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews:   Don't Invite the Roofers on Day One Audience Takeover Buy the Expertise, Not the Conflict of Interest   We also cover a number of other relevant topics related to digital and business transformation throughout the show.  

In this episode, Nathan Frank, Senior Vice President and Chief Digital and Technology Officer at Aetna, discusses how AI and digital tools are simplifying prior authorization, improving interoperability and enhancing member and provider experiences. He also shares Aetna's approach to responsible AI, emphasizing human connection, trust and practical technology solutions that reduce administrative burden.

Jo Malone. MAC. La Mer. Tom Ford. Clinique. The Ordinary. These are just a few of the powerhouse brands behind The Estée Lauder Companies. For more than 80 years, the beauty giant has reinvented itself with every era – from the department store counter to the digital storefront. Now it's making its biggest leap yet: AI.  In the season 3 premiere of Frontier CMO, host Josh Spanier sits down with Chief Digital and Marketing Officer Aude Gandon to explore how one of the world's most iconic beauty companies is using AI to personalize consumer experiences, reimagine creativity, and build brands that endure.   ✨ What you'll learn in this episode: How Estée Lauder overhauled its marketing operating model and consolidated global media to react at the speed of culture. Why your CFO is your most crucial ally and how to prove marketing is an investment, not a cost center. Navigating C-suite influence, knowing when to compromise, and leading with strategic courage. Why the AI era demands a return to fundamental brand differentiation and emotional connection. How Jo Malone and Google built a conversational Scent Finder to personalize fragrance discovery online. What AI revealed about why MAC's Ruby Woo and NASA-inspired Crème de la Mer both became timeless icons. Why 90% hard work beats 10% talent ⏱️ Episode Chapters: 00:00 - Teaser: "Show Me the Money" & CFO Alliances 00:34 - Welcome to Frontier CMO Season 3 01:25 - Change Management & "Beauty Reimagined" at Estée Lauder 02:49 - Restructuring the Global Operating Model & Media Strategy 04:58 - Marketing as a Growth Engine: Getting Buy-In from Finance 07:08 - The CMO as Chief Diplomatic Officer 10:14 - Brand Building vs. Lower-Funnel Performance Marketing 11:42 - Conversational AI in Action: Jo Malone's Scent Finder 13:43 - Luxury on Scaled Platforms: Short-form Video & Creators 16:23 - Breaking Brand Silos: Creating Global Marketing Communities 18:24 - Feeding 80 Years of Brand Data into AI: MAC vs. La Mer 22:28 - Career Advice: "Just 'Cause You Don't Fit Doesn't Mean You Don't Belong" 23:10 - Estée Lauder's Legacy: The Pink Ribbon Campaign 24:48 - The 90/10 Rule of Career Success 25:53 - The CMO Download  29:57 - Josh Spanier's 3 Key Takeaways

AI adoption is not really a technology question. It's a trust question, and trust levels shift dramatically depending on where a company operates and who its customers are. In this episode of Supply Chain Now, Scott Luton and co-host Bill Huber, retired VP CFO at VELUX, speak with Theodora Lau, founder of Unconventional Ventures, about trust and AI adoption, open banking and data interoperability, fragmented data versus bad data, workforce retraining, and the lessons global supply chains can borrow from fintech. Theo explains how to tell healthy friction from harmful friction, treat fragmented data differently from bad data, judge AI initiatives by outcomes instead of token usage, and build systems that keep people, not service providers, in control of their own data. Jump into the conversation: (00:00) Introduction (09:41) Theo Lau's path from telecom to fintech innovation (17:35) Why trust, not technology, drives AI adoption (20:17) What GDPR and the EU AI Act reveal about governance and trust (28:04) Lessons supply chain can borrow from open banking and fintech (38:27) What separates real AI transformation from bolting AI onto broken processes (43:13) The difference between fragmented data and bad data (54:16) A JD Power stat reshaping how consumers ask financial questions Additional Links & Resources: Connect with Theodora Lau: https://www.linkedin.com/in/vineetvashishta/ Learn more about Unconventional Ventures: https://www.linkedin.com/in/billhuberatlanta/ Connect with Bill Huber: https://www.linkedin.com/in/billhuberatlanta/ Learn more about VELUX: http://www.velux.com Learn more about our hosts: https://supplychainnow.com/about Learn more about Supply Chain Now: https://supplychainnow.com Watch and listen to more Supply Chain Now episodes here: https://supplychainnow.com/program/supply-chain-now Subscribe to Supply Chain Now on your favorite platform: https://supplychainnow.com/join Work with us! Download Supply Chain Now's NEW Media Kit: https://supplychainnow.com/media-kit/ Learn more about Blue Yonder Cognitive Solutions: http://blueyonder.com/cognitive WEBINAR- SAP AI Inside the Supply Chain: From Silo to Orchestration: https://bit.ly/4bvpz6K WEBINAR- Operational AI in the Supply Chain: How context empowers agents and humans to operate side by side: https://bit.ly/4x7Vd2Z WEBINAR- You Can't Manage What You Can't See: Using Visibility, KPIs, and AI to Optimize Logistics Operations: https://bit.ly/4ql6iem This episode was hosted by Scott Luton and Bill Huber, and produced by Trisha Cordes, Joshua Miranda, and Amanda Luton. For additional information, please visit our dedicated show page at: https://supplychainnow.com/what-global-supply-chain-can-learn-from-fintech-world-1630 The content in this episode, including all audio, videos, visuals, and graphics, is the property of Supply Chain Now and is protected by copyright law. Unauthorized use, reproduction, distribution, modification, or re-uploading of this content in any form is strictly prohibited without explicit written permission from Supply Chain Now.For licensing inquiries or permissions, please contact us at production@supplychainnow.com© 2026 Supply Chain Now. All rights reserved. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

What do you actually do with AI? In the final episode of this three-part series, Dr. Drew Brannon and Michael Wolinsky move from reflection to action, exploring how individuals and organizations can begin using AI effectively. They explore how individuals can build reps, use AI as a thought partner, protect their critical thinking, and become more, not less, of themselves. They also offer practical guidance for organizations around strategy, governance, communication, and deciding what AI should and shouldn't do. The message is simple: don't outsource your thinking, use AI to amplify it.

The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews:   Your System Integrator Profits When You Skip Planning Open Source, AI, & the Planning Phase Excel Is Still the World's #1 ERP System   We also cover a number of other relevant topics related to digital and business transformation throughout the show.  

Seven years after becoming the first-ever guest on The Tech Leaders Podcast, Dr Daniel Hulme returns to share his thinking on how AI has evolved, where it's heading, and what organisations should be focusing on now. As Global Chief AI Officer at WPP and founder of Satalia, Daniel has spent nearly three decades building AI systems and exploring some of the biggest questions around intelligence, consciousness and safe machine behaviour. In this episode, we unpack why many businesses are approaching AI in the wrong way, why chasing quick wins can be a trap, and where AI could have the biggest impact, from supply chains and marketing optimisation to governance and agent testing. Daniel also shares how WPP is using AI as a creative superpower, including a model trained on its own creative expertise to generate award-worthy ideas and help teams think bigger. Timestamps:Satalia Take over by WPP (11:45) Will AI kill agencies or make the best ones stronger? (16:28)  Inside WPP: Creative, Production, Media & Enterprise (20:30) What advice would you give to entrepreneurs to put foundations in place to grow their brand using AI technology? (21: 45) AI Controls and Governance (24:10)  Multi Agent Reasoning (29:35) What will the biggest societal impact of AI be within the next 5 years? (32:47) Is AI conscious? (38:56) https://www.bedigitaluk.com/

(0:00) Thank you to everyone who joined the inaugural Boardroom Governance Summit (0:30) Intro (1:51) About the podcast sponsor: The American College of Governance Counsel (2:38) Start of interview (3:21) Raffaela Rein's Origin Story (4:44) Rocket Internet: the “copycat factory,” global expansion, execution, and leadership lessons (8:36) Founding and selling CareerFoundry (9:16) Raffaela's Board Journey: Porsche and other boards: PE, tech unicorn, startups and non-profits. (11:04) Why she founded BoardLens (15:00) AI as a Strategic Sparring Partner for board members: better preparation, sharper questions, and challenging assumptions (16:14) How BoardLens is different from a traditional board portal and why individual directors are adopting it (18:37) Confidentiality, Privilege, and AI: the risks of using public AI tools for board work (21:03) The AI models behind BoardLens: Anthropic, Gemini, and OpenAI (23:25) Open vs. Closed AI Models and balancing performance, security, and confidentiality (25:01) BoardLens users and the growing demand for AI in regulated industries (26:37) The “private equitization” of the economy and the rise of private-company boards (31:38) OpenAI, Anthropic, and New Governance Models: PBCs, nonprofits, trusts, and mission-driven governance (35:15) The Sam Altman episode and the unusual balance of power among boards, employees, and investors (36:34) Mission vs. Financial Interests in AI governance (37:47) Founder Control and Dual-Class Shares: SpaceX, Elon Musk, and investor willingness to accept unconventional governance (39:17) The Porsche IPO and other unconventional governance structures (41:07) U.S. vs. German Boards: comparing the single-board and two-tier governance models (44:00) Why the board meeting should be one of the most valuable meetings in the company, not simply a reporting exercise (44:40) Why Raffaela believes the AI transformation may be bigger than the digital transformation (45:36) AI Strategy and Governance education for directors (46:00) Building a Directors Council to think about the future of board work in an AI-driven world (47:44) Autonomous vehicles, disruption of the German and European auto industries, and global competition (48:15) What happens if AI makes many goods and services dramatically cheaper, or even effectively free? (49:04) Books that have greatly influenced her life: Radical Candor, by Kim Scott Never Split the Difference, by Chris Voss The Hard Thing About Hard Things, by Ben Horowitz (51:13) Her mentors and the people she admires for perseverance (52:12) Quotes she thinks of often: Invictus and “I am the master of my fate, I am the captain of my soul.” (52:54) An unusual habit: going through different color phases (53:56) The living person she most admires: Tony Robbins, and his ability to sustain a sense of purpose over decades Raffaela Rein is the CEO and founder of BoardLens, an AI-powered intelligence platform built for board members. Her career spans BlackRock, Rocket Internet, entrepreneurship, and corporate boards. You can follow Evan on social media at:Website: boardroom-governance.comX: @evanepsteinLinkedIn: https://www.linkedin.com/in/epsteinevan/ Substack: https://evanepstein.substack.com/YouTube: https://www.youtube.com/@BoardroomGovernance__To support this podcast you can join as a subscriber of the Boardroom Governance Newsletter at https://evanepstein.substack.com/__Music/Soundtrack (found via Free Music Archive): Seeing The Future by Dexter Britain is licensed under a Attribution-Noncommercial-Share Alike 3.0 United States License

In this episode, Nathan Frank, Senior Vice President and Chief Digital and Technology Officer at Aetna, discusses how AI and digital tools are simplifying prior authorization, improving interoperability and enhancing member and provider experiences. He also shares Aetna's approach to responsible AI, emphasizing human connection, trust and practical technology solutions that reduce administrative burden.

An AI agent can finish a task and still violate the rules that matter most. In supply chain, that gap can affect cost limits, approved suppliers, compliance requirements, safety protocols, and escalation paths. In this episode of Supply Chain Now, Scott W. Luton speaks with Vin Vashishta, CEO and AI strategist at V-Squared, about intent contracts, audit trails, workflow reorchestration, tokenomics, semantic layers, and evidence-based AI strategy. Vin explains how to evaluate AI by the value it creates, budget for recurring usage costs, work with imperfect information, and require consultants to connect every recommendation to evidence, risk, mitigation, and business-specific ROI. Jump into the conversation: (00:00) Introduction (05:38) Intent contracts and their role in AI agent management (08:38) The need for AI audit trails in supply chain (11:10) CIO considerations for managing AI demand at scale (14:21) Gaps in workflow reorchestration and value quantification (17:00) Lessons from the semantic layer meme on imperfect data (19:36) The outcomes an AI strategy should deliver for a specific business (25:03) AI training programs generating the strongest market response (26:49) Ways to follow Vin and learn more Additional Links & Resources: Connect with Vin: https://www.linkedin.com/in/vineetvashishta/ Learn more about V-Squared: https://vsquaredai.com/ Vin's LinkedIn Post about Managing AI Agents: https://bit.ly/Managing-AI-Agents The cost of intelligence: How CIOs can manage AI demand at scale: https://mck.co/3TUD3mz Vin's LinkedIn Post about the Cost of Intelligence: https://bit.ly/Vin-on-CIO-Managing-AI Vin's LinkedIn Post on The Semantic Layers: https://bit.ly/Vin-on-Semantic-Layers Vin's LinkedIn Post on AI Strategy: https://bit.ly/Vin-on-AI-Strategy-2026 Vin's Training & Certification Classes: https://datascience.vin/ Learn more about our hosts: https://supplychainnow.com/about Learn more about Supply Chain Now: https://supplychainnow.com Watch and listen to more Supply Chain Now episodes here: https://supplychainnow.com/program/supply-chain-now Subscribe to Supply Chain Now on your favorite platform: https://supplychainnow.com/join Work with us! Download Supply Chain Now's NEW Media Kit: https://supplychainnow.com/media-kit/ WEBINAR- SAP AI Inside the Supply Chain: From Silo to Orchestration: https://bit.ly/4bvpz6K WEBINAR- Operational AI in the Supply Chain: How context empowers agents and humans to operate side by side: https://bit.ly/4x7Vd2Z WEBINAR- You Can't Manage What You Can't See: Using Visibility, KPIs, and AI to Optimize Logistics Operations: https://bit.ly/4ql6iem Gartner Announces 2026 Rankings of the Global Supply Chain Top 25: https://www.gartner.com/en/newsroom/press-releases/2026-06-17-gartner-announces-2026-rankings-of-the-global-supply-chain-top-25 This episode was hosted by Scott Luton and produced by Trisha Cordes, Joshua Miranda, and Amanda Luton. For additional information, please visit our dedicated show page at: https://supplychainnow.com/ai-agents-semantic-layers-cio-leadership-1629 The content in this episode, including all audio, videos, visuals, and graphics, is the property of Supply Chain Now and is protected by copyright law. Unauthorized use, reproduction, distribution, modification, or re-uploading of this content in any form is strictly prohibited without explicit written permission from Supply Chain Now.For licensing inquiries or permissions, please contact us at production@supplychainnow.com© 2026 Supply Chain Now. All rights reserved. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In Episode 197 of Open Tech Talks, host Kashif Manzoor speaks with Francis Brero, VP of AI Strategy at HD Insights, about what it really means for an enterprise to become AI native. Francis shares his experience helping an established enterprise organization move into the AI era and explains why AI transformation is much more than adding an LLM or purchasing the latest AI tools. The conversation begins with a practical framework for identifying where AI can create value. Francis explains how organizations can break down jobs into smaller tasks, assess each task's value, and identify which activities are suitable for AI automation. The discussion then moves into one of the biggest challenges facing enterprises today. Many organizations have an AI mandate, but they are adopting AI simply because they feel they need to "do AI." Francis explains why organizations need to focus on the problems they are trying to solve instead of chasing every new model and tool. A major theme of the conversation is institutional knowledge. Enterprises often depend heavily on experienced employees who know how things work. Francis explains how AI can turn that knowledge into an organizational asset rather than letting it remain locked inside individual employees. The episode also explores AI-native software development, multi-agent workflows, AI-powered code reviews, system optimization, security controls, and the role of different AI models in the software development lifecycle. Francis also explains why traditional machine learning remains important. Not every problem needs an LLM, especially when organizations are working with structured data or systems that require deterministic outcomes. The conversation concludes with a discussion about managing the incredible speed of AI innovation. Instead of changing systems every time a new model appears, organizations should build flexible systems that let them introduce new models and capabilities without rebuilding everything. Episode # 197 Today's Guest: Francis Brero, VP of AI Strategy at HD Insights Francis Brero is a longtime AI and GTM operator who has spent the past 15 years building data-driven SaaS products that help revenue teams make smarter decisions. Website: HDInsights LinkedIn: Francis Brero What Listeners Will Learn: How to Build an AI Native Enterprise How to Identify the Right AI Use Cases How to Break Jobs Into AI-Ready Tasks How to Measure the Value of AI Automation How to Turn Institutional Knowledge Into an Organizational Asset How to Build AI Native Development Workflows How AI Agents Can Improve Code Reviews How to Use Multiple AI Models Effectively When Traditional Machine Learning Is Better Than LLMs How to Build AI Systems That Can Adapt to New Models How to Balance AI Innovation With Enterprise Stability Why System Thinking Matters in AI Transformation Resources: Website: HDInsights LinkedIn: Francis Brero

In Episode 92 of Moving Into the Future, host Jack Macejka, Vice President of National Accounts at The Advance Group, sits down with Jerry George, Senior Associate at Perkins & Will, to explore how artificial intelligence, evolving workplace expectations, and changing client needs are reshaping the role of the modern architect. Jerry explains why AI should be viewed as a tool rather than a replacement for human expertise, and how faster technology is raising expectations for architects to deliver more while continuing to build the trust and relationships that drive successful projects. They discuss how architects are moving beyond traditional design responsibilities to become strategic advisors who help clients solve business challenges, understand workplace data, strengthen company culture, and plan spaces for needs that may not exist yet. The conversation also looks at the evolution of the post-pandemic workplace, from hoteling and badge data to hospitality-inspired amenities, flexible spaces, employee retention, and the growing importance of creating offices that give people a meaningful reason to come together. Listen now to hear how AI, human connection, and intentional design are changing what companies should expect from their architects and shaping the workplaces of the future. Catch more episodes at https://theadvancegrp.com/happenings/podcast/ See omnystudio.com/listener for privacy information.

AI adoption isn't as simple as choosing a tool and training your team to use it. In Part 2 of this three-part AI series, Dr. Drew Brannon and Michael Rudinsky explore the mindset challenges leaders and employees face as AI reshapes the workplace. They discuss fear, uncertainty, resistance, and the fundamental question many employees are asking: "Where do I fit?" Most importantly, they explore how leaders can help their people see AI not as a threat, but as a tool to amplify their strengths and unlock greater potential.

The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews:   Turn AI Off and Your Business Won't Miss a Beat The AI Bubble Meets Your Contract (Scott Bickley, Info-Tech Research Group) The Discount They Can Take Back Overnight We also cover a number of other relevant topics related to digital and business transformation throughout the show.  

TW3 Podcast • Episode 687 Stop Marketing to Strangers: The Two-Filter AI Strategy That Makes Every Message Matter Interest without fit wastes attention. Fit without interest wastes money. For years, organizations faced a frustrating marketing choice: target people who match the right demographics but may have no interest in the…

AI is reshaping jobs, workflows, and the way organizations operate. In this episode, Dean Newlund talks with Nadav Wilf, founder of ZeremAI, about how CEOs can build an AI strategy that drives business results.   In this episode, Dean Newlund and Nadav Wilf discuss: Where AI is changing jobs and responsibilities The three stages of AI use inside a business Turning AI productivity into deeper operational automation How different approaches to AI regulation affect innovation What AI companions could mean for human connection   Key Takeaways: Start with business needs and workflows when deciding where AI can create the most value. Move beyond basic prompting by progressing toward automated and AI native systems as your organization develops its capabilities. Look for entire responsibilities AI can take over rather than using it only to make existing tasks faster. Understand the tradeoffs behind AI regulation and how approaches in the United States, European Union, and China shape innovation, risk, and control. Be intentional about human relationships as AI companions become more common and consider how technology can support rather than replace human connection.   "AI is incredibly exciting. There's so much opportunity and things you can do, and there's a lot [you] can't do still, and it's about creating that relationship and finding that balance.” — Nadav Wilf   About Nadav Wilf: Nadav Wilf is an entrepreneur, investor, and the CEO of ZeremAI, a company at the forefront of AI implementation and systems automation. With a career spanning over two decades, Nadav is a three-time founder with multiple successful exits who has dedicated his life to understanding how technology can unlock human potential. Rather than viewing AI as a replacement for human talent, Nadav approaches it as a catalyst for a high-performance culture, helping organizations restructure their workflows to reclaim massive amounts of productive time. A dynamic speaker and strategic advisor, he speaks passionately about the transition into an AI-first economy, the rise of AI agents, and how leaders can navigate the massive cultural and operational shifts of the modern workplace.   Connect with Nadav Wilf:   Website: https://zerem.ai/ LinkedIn: https://www.linkedin.com/in/nadavwilf Instagram: https://www.instagram.com/nadavwilf/       See Dean's TedTalk “Why Business Needs Intuition” here: https://www.youtube.com/watch?v=EEq9IYvgV7I Connect with Dean:YouTube: https://www.youtube.com/channel/UCgqRK8GC8jBIFYPmECUCMkwWebsite: https://www.mfileadership.com/The Mission Statement E-Newsletter: https://www.mfileadership.com/blog/LinkedIn: https://www.linkedin.com/in/deannewlund/X (Twitter): https://twitter.com/deannewlundFacebook: https://www.facebook.com/MissionFacilitators/Email: dean.newlund@mfileadership.comPhone: 1-800-926-7370 Audio production by Turnkey Podcast Productions. You're the expert. Your podcast will prove it.

AI adoption in supply chain is moving from curiosity to business-critical execution. The companies pulling ahead are not chasing shiny tools. They are finding root causes, cleaning up messy data, and using technology to reduce wasted time across procurement, planning, inventory, and fulfillment.   In this episode of Supply Chain Now, Scott W. Luton and Karin Bursa speak with Wiley Jones, co-founder and CEO of DOSS, about the Enterprise Unleashed series and what leaders should take from the first several conversations. Wiley shares why culture, clarity, and leadership ownership are central to successful AI programs.   The conversation also covers touchless procurement, master data, decision support, workflow redesign, and why the best companies are willing to question how work gets done.   Jump into the conversation: (00:00) Intro (03:52) Favorite outdoor adventures (06:36) How the enterprise landscape is changing (09:54) From AI curiosity to AI of consequence (11:51) Solve root causes, not symptoms (15:16) Major AI developments in supply chain (20:39) Lessons from Enterprise Unleashed (21:44) Putting people and culture first (25:16) Leadership's role in transformation (28:28) Defining success and increasing decision velocity (32:07) What to do when leadership doesn't embrace AI (34:14) What the most innovative companies do differently (37:48) Challenging legacy processes and assumptions (40:56) Doss and the impact of touchless procurement (44:39) Using AI to drive growth (46:00) The future of the AI-native enterprise   Additional Links & Resources: Connect with Wiley Jones: https://www.linkedin.com/in/wileycwjones/ Learn more about Doss: https://www.doss.com/ Connect with Karin Bursa: https://www.linkedin.com/in/karinbursa/ Learn more about our hosts: https://supplychainnow.com/about Learn more about Supply Chain Now: https://supplychainnow.com Watch and listen to more Supply Chain Now episodes here: https://supplychainnow.com/program/supply-chain-now Subscribe to Supply Chain Now on your favorite platform: https://supplychainnow.com/join Work with us! Download Supply Chain Now's NEW Media Kit: https://supplychainnow.com/media-kit/ WEBINAR- SAP AI Inside the Supply Chain: From Silo to Orchestration: https://bit.ly/4bvpz6K WEBINAR- Operational AI in the Supply Chain: How context empowers agents and humans to operate side by side: https://bit.ly/4x7Vd2Z WEBINAR- You Can't Manage What You Can't See: Using Visibility, KPIs, and AI to Optimize Logistics Operations: https://bit.ly/4ql6iem   This episode was hosted by Scott Luton and produced by Trisha Cordes, Joshua Miranda, and Amanda Luton. For additional information, please visit our dedicated show page at: https://supplychainnow.com/enterprise-unleashed-biggest-lessons-2026-1626 The content in this episode, including all audio, videos, visuals, and graphics, is the property of Supply Chain Now and is protected by copyright law. Unauthorized use, reproduction, distribution, modification, or re-uploading of this content in any form is strictly prohibited without explicit written permission from Supply Chain Now.For licensing inquiries or permissions, please contact us at production@supplychainnow.com© 2026 Supply Chain Now. All rights reserved. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Jerry Murdock is the Co-Founder of Insight Partners, which manages over $90 billion in assets. Jerry personally backed companies including Twitter, Nest and Docker, while Insight's portfolio includes giants such as Shopify, Wiz and monday.com. Across three decades, Insight has helped produce 55+ IPOs and become one of the most powerful technology investment firms in the world.  AGENDA: 00:00 — Is the AI Bubble About to Burst? 11:00 — Will Half of All Neoclouds Disappear Within 36 Months? 13:00 — Can Open Source Models Actually Beat OpenAI and Anthropic? 22:00 — Are We Entering the Golden Age of Cybersecurity Attacks? 32:00 — Have AI Valuations Completely Lost Touch With Reality? 42:00 — Is AI About to Wipe Out an Entire Generation of SaaS & Private Equity? 47:00 — Should We Ban U.S. Chips From Being Exported to China? 48:00 — Should We Be Fearful of Open-Source Chinese Models? 49:00 — Will Continuous Learning Kill Every AI Model We Use Today? 53:00 — Why Microsoft Remains a Mega Buy 56:00 — Which Mag 7 Giant Would You Short — and Is Apple's AI Strategy a Disaster?  

Thanks for listening, and please follow us on Insta @NHPTalent and www.youtube.com/thePOZcast For all episodes, please check out www.thePOZcast.com This episode is brought to you by our friends at Dalia. Who's ready for a cold hard fact? Indeed's pricing model -- and all programmatic job advertising -- is based on driving volume. Not outcomes. Job boards get paid on clicks and applies, not hires. Their incentive is to send you more volume. That's what happens with volume-based pricing models. And all that volume creates exactly what you'd expect: mass inefficiency, mountains of unqualified applications, and wasted spend.  Meanwhile, TA teams know their career site is already their best source of quality applicants who get hired. TA teams invest in their career sites and employer brand, but the outdated technology makes it too hard for people to connect and apply.  Dalia fixes that. Millions of job seekers use Dalia every month to seamlessly connect to employer career sites and apply to jobs using their universal candidate profile. No re-entering information over and over. It's like the ShopPay button, but for jobs. It's secure, it integrates directly into your ATS, and it works instantly on any career site.  Employers using Dalia can double their conversion of career site visitors into qualified applicants and hires. Double the hires from traffic you already have. That's how you start cutting your dependence on Indeed. To learn more, please visit: https://www.dalia.co/audit?utm_source=pos   Key Topics: - AI as a leadership challenge, not just a technology - The importance of mindset shift for AI adoption - Reimagining workflows and organizational structures - The role of human-AI collaboration in future work - Strategies for leaders to become AI-forward - The danger of a finite mindset in AI implementation - The concept of shifting from org charts to work charts - The importance of outcome-driven AI strategies - The role of leadership in fostering innovation with AI - Practical steps for organizations to start their AI journey Chapters: 00:00 Introduction to Disruption and Leadership 02:18 Career Reflections and Lessons Learned 05:03 The Genesis of the Book on AI Leadership 08:18 AI as a Leadership Challenge 12:44 The Finite vs. Infinite Mindset in Organizations 15:40 Identifying Warning Signs of a Finite Mindset 17:52 The Balance of Speed and Strategy in AI Implementation 20:18 Rewriting the Playbook for AI 23:17 The Evolving Role of Human Capital in an AI World 25:43 AI for Humanity: IKEA's Success Story 26:20 Human-Machine Collaboration: The Future of Work 28:02 Evolving Leadership in the Age of AI 30:41 Practical Steps for AI-Forward Organizations 32:18 Understanding AI's Impact on Jobs and Tasks 34:51 Future-Proofing Organizations: Lessons from the Past 39:02 The Uncomfortable Questions for CEOs 43:03 Optimism in AI: Augmentation and New Possibilities      

On this episode of Asia Inside Out, Farwa Aamer, Director of South Asia Initiatives at the Asia Society Policy Institute, sits down with H.E. Professor Ahsan Iqbal, Pakistan's Federal Minister for Planning, Development, and Special Initiatives, to discuss Pakistan's economic transformation and evolving role in regional and global affairs.The conversation explores U.S.-Pakistan relations, critical minerals, Pakistan's strategy for balancing ties with both the United States and China, CPEC 2.0, artificial intelligence, technology sovereignty, climate resilience, water security, renewable energy, electric vehicles, and the future of regional cooperation in South Asia. Minister Iqbal also discusses Pakistan's AI ecosystem, education reforms, investment priorities, and his vision for economic growth through innovation, connectivity, and geoeconomics.Asia Inside Out brings together our team and special guests to take you beyond the latest policy headlines and provide an insider's view on regional and global affairs. Each episode we'll deliver an interview with informed experts, analysts, and decision-makers from across the Asia-Pacific region. If you want to dig into the details of how policy works, this is the podcast for you. This podcast is produced by the Asia Society Policy Institute, a “think-and-do tank” working on the cutting edge of current policy trends by incorporating the best ideas from our experts and contributors into recommendations for policymakers to put these plans into practice. 

AI is moving faster than most organizations can keep up, and that uncertainty can create excitement, fear, and resistance. In Part 1 of this three-part series, Mike Rudinsky and Dr. Drew Brannon explore why successful AI adoption starts with people, not technology. They unpack the human side of AI, the importance of clear leadership and strategy, and how organizations can define the roles of both humans and AI.

The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews:   Putting AI Inside ERP Is a Ferrari Engine on an Old Bicycle Is the Business Finally Taking the Wheel? (Jan Baan, Founder & Chairman - Rappit) ERP Should Propel EBITDA — Not Consume It   We also cover a number of other relevant topics related to digital and business transformation throughout the show.  

⛰️ Try Heights Platform, the all-in-one tool for building your online course and community. Start your 30-day free trial → ⁠https://www.heightsplatform.com⁠  In this Founder Story episode, we'll also explore why real positioning is much deeper than changing a headline. So how can you use AI to multiply your team's output, build a company customers can clearly distinguish from the competition, and prepare your business for what comes next? Learn more about Chris DuBois: ⁠https://dynamicagencyos.com/⁠

a16z General Partner David George is joined by Will Gaybrick, President of Product & Business at Stripe, to discuss how AI is changing the way Stripe builds products, organizes teams, and thinks about the future of internet commerce. Stripe has evolved from a payments company into a multi-product financial infrastructure platform, while a new generation of AI companies is growing and monetizing faster than previous software cohorts. Will explains why Stripe sees AI productivity as an opportunity to build more rather than simply cut costs, including how its internal coding agents now generate thousands of pull requests each week. They discuss creating founder-like agency inside large companies, building smaller and flatter teams, and why Stripe believes dramatically more software will be created as the cost of building continues to fall. They also look ahead to agentic commerce, why checkout pages could disappear, the potential return of micropayments, stablecoins as infrastructure for a global economy, and a future where AI agents increasingly buy software and services from other machines.   Resources: Follow Will Gaybrick on LinkedIn: https://www.linkedin.com/in/william-gaybrick-5730347/ Follow Will on X: https://x.com/gaybrick Follow David George on X: https://x.com/DavidGeorge83 Follow Stripe on X: https://x.com/stripe Stay Updated:Find a16z on YouTube: YouTubeFind a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

AI could influence 90% of jobs. David Lloyd says AI literacy is still only around 38%.That gap is where many enterprise AI strategies begin to break.In the latest HR Leaders Podcast episode, I spoke with David Lloyd, SVP Platform Engineering & Chief AI Officer at Dayforce. He explains why HR cannot wait until the end of an AI transformation to address skills, trust and organisational change.Most organisations do not lack AI ideas. They lack trusted data, safe environments and a clear process for deciding which ideas deserve to scale.And even when an experiment works, a harder question remains:Can it scale from one employee to 5,000?5 things you'll learn from this episode:Why three to six months is too long to judge an AI pilotThe three questions that decide whether an AI idea moves forwardWhat is really driving the rise of shadow AIWhy adding AI across a fragmented HR stack creates more chaosHow a three-person governance team can approve ideas in under five days

What if the future of IT isn't about responding faster—but about knowing what's going to happen before it happens? David Raissipour, Chief Product & Technology Officer at ConnectWise joins us for a forward-looking conversation about how AI, agentic automation, and predictive intelligence are reshaping the managed services industry. David shares his perspective on the MSP inflection point, why traditional models of simply adding people, tools, and processes are reaching their limits, and how AI agents can help smaller MSPs compete on a more level playing field with larger organizations.    The conversation explores the evolution from reactive IT to predictive IT, where intelligent systems can identify issues, reason through problems, and execute tasks before they become customer-impacting events. David also emphasizes that this transformation is not an “anti-people” approach—it's a pro-success approach, giving technology professionals the opportunity to move beyond repetitive tasks and contribute at a higher, more strategic level. From the accelerating adoption of AI and dramatically changing response times to the importance of deciding when to buy versus build, David offers practical leadership insights for navigating this next chapter of technology. Plus, we look ahead to ConnectWise's exciting second half of the year and invite MSP and IT leaders to join the ConnectWise AI Agentic Roadshow and Executive Forum Series for conversations around AI, operational scale, and organizational performance. Follow David on LinkedIn and visit connectwise.com/executive-forum-series to participate in a city near you.  Timestamps: Inflection Point 9:20    AI Strategy 18:43 Launched Platform 27:19 Roadshow Series 37:44

The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews:   Your Shadow IT Is Actually Your Intellectual Property Why Cloud ERP and AI Are Making Shadow IT Worse, Not Better Today's Implementation Is Tomorrow's Technical Debt   We also cover a number of other relevant topics related to digital and business transformation throughout the show.