Podcasts about Chief product officer

Osvald Nitski is the Chief Product Officer at Mercor, the AI-training and expert-data marketplace powering frontier-model development. Mercor last raised a $350 million Series C at a $10 billion valuation, and is reportedly in discussions for a new round at a $20 billion valuation. Mercor crossed $2BN in ARR in June; doubling from $1 billion in only four months. AGENDA:  00:04:00 Will open-source models kill the data-provider business? 00:07:00 Are enterprises still terrified of working with frontier model companies? 00:09:00 Does every company end up with its own specialised AI model? 00:10:00 Do enterprises actually have an AI ROI problem? 00:11:00 How should founders balance AI performance against exploding token bills? 00:14:00 Does AI mean product teams build 10x more—or ruthlessly simplify? 00:15:00 What does it now take to be a great product manager in an AI-native world? 00:20:00 Is the boom in AI services and forward-deployed engineers here to stay? 00:37:00 Can Mercor escape its dependence on a handful of frontier-model customers? 00:47:00 Are AI-generated code and agents creating a cybersecurity arms race? 00:56:00 When will robotics have its real "ChatGPT moment"?  

In this episode of The Geek in Review, Greg Lambert hosts a solo conversation with Triona Buckley, Chief Product Officer at Actionstep, about generative AI's growing influence on mid-market law firms. Buckley challenges a common assumption about legal AI: faster task completion does not always remove friction. An associate might produce a draft within seconds, only to transfer the burden upstream to a senior lawyer responsible for reviewing sources, reconstructing reasoning, and correcting mistakes.Buckley argues law firms should shift their attention from speed to systems. Standalone drafting and research tools address individual tasks, while system-level AI connects work across an entire legal matter. Embedded within everyday workflows, AI helps lawyers locate information, reduce administrative work, and preserve more time for client advice and professional judgment. The goal is a smoother operating model, rather than a collection of isolated tools producing faster documents.The conversation also examines institutional knowledge, especially within firms lacking large knowledge management or innovation teams. Buckley describes an approach where AI captures decisions, context, and reasoning as lawyers work. This creates a continuously expanding record of how the firm handles matters, advises clients, and applies professional judgment. Governance still plays a central role, including clear audit trails showing whether a person or an AI agent performed each action.Greg and Triona then explore AI as an individual tutor for junior lawyers. Remote and hybrid work have weakened the traditional apprenticeship model built around observation and informal office conversations. Drawing upon decades of firm experience, an AI tutor might question an associate's assumptions, prompt additional research, and reinforce the firm's preferred methods. Such systems offer structured practice while preserving the essential mentoring relationship between senior and junior lawyers.Another major theme is the hidden cost of delayed time entry. Actionstep's Trace passive time capture technology monitors work across practice management, email, and document applications, then presents lawyers with matter-linked, billing-ready entries. More accurate records help firms recover otherwise forgotten time while producing better data for pricing, staffing, client estimates, and profitability analysis. Those insights grow more important as clients push firms toward fixed fees and output-based pricing.Buckley believes mid-market law firms hold several advantages during the AI transition. They often operate with fewer systems, maintain closer client relationships, and move through organizational change faster than larger enterprises. Success will still require disciplined implementation, trusted internal champions, connected data, and sustained attention to client service. Her message is optimistic but direct: firms with strong relationships, clean data, and a clear economic strategy will be better prepared for agentic AI and the changing business of law.Actionstep's U.S. Midsize Law Firm Priorities ReportMetatags: legal AI, mid-market law firms, Triona Buckley, Actionstep, law firm innovation, AI legal training, legal practice managementListen on mobile platforms:  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ |  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠Substack⁠[Special Thanks to ⁠⁠Legal Technology Hub⁠⁠ for their sponsoring this episode.]Email: geekinreviewpodcast@gmail.comMusic: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jerry David DeCicca⁠⁠⁠⁠⁠⁠⁠⁠⁠Transcript:

In this excerpt from a client conversation, Navaneeth Nair, Chief Product Officer at Infinx, explains why prior authorization cannot always be managed effectively through Epic alone. He explores how the Infinx Patient Access platform combines payer connectivity, AI agents, workflow orchestration, and human expertise to manage the many paths an authorization may need to take.

Are the platforms you rely on most for growth also the biggest barriers to understanding it?Agility requires a clear view of the entire customer journey, not just the isolated moments within a single platform. This means brands must adapt their strategies to operate effectively across the open internet, not just within its walled gardens.Today, we're going to talk about a fundamental disconnect in modern marketing: while AI is enabling a consumer journey that is more fluid and dynamic than ever, many marketers are still planning, executing, and measuring their efforts in platform-specific silos. This can create a distorted view of performance and limit a brand's ability to drive real growth.To help me discuss this topic, I'd like to welcome Todd Parsons, Chief Product Officer & President of Performance Media at Criteo. About Todd ParsonsTodd Parsons is Chief Product Officer and President of Performance Media at Criteo, where he leads the company's global product and Performance Media organization. Since joining in 2020, he has been instrumental in transforming Criteo's platform, advancing AI-powered solutions for predictive bidding, creative assembly, and merchandising, while scaling self-service activation across channels. In 2025, he assumed leadership of Performance Media to unify product, design, analytics, and go-to-market under a single vision for growth. With more than two decades of experience at the intersection of data and marketing, Todd has held leadership roles driving innovation across the industry. He previously served as Chief Product Officer at SocialCode, where he developed tools to activate and measure first-party audiences across platforms including Facebook, Amazon, and YouTube, and earlier helped establish OpenX as the first people-based programmatic marketplace. At Criteo, he continues to shape the future of commerce media, leveraging over a billion daily shopper interactions to deliver measurable outcomes for brands and retailers worldwide.Todd Parsons on LinkedIn: https://www.linkedin.com/in/toddaparsons---------- Resources ---------- Criteo: criteo.comThis show is brought to you by Criteo. Their new self-service platform, Criteo GO, makes AI-powered advertising simpler and more accessible for brands looking to drive demand, acquire customers, and scale performance. By enabling cross-channel performance across display, web, video, social, and even ChatGPT, Criteo GO helps brands reach shoppers with smarter advertising powered by real-time commerce signals.We're proud to be a media partner for #MAICON26 - Oct. 13-15! Learn how AI can power your marketing and business and help you grow smarter. Use code AGILE150 to save! https://aglbrnd.co/r/7fe458ced0f04658Reach your customers with Reddit. Spend $500 in ad spend, get $500 back in ad credit! Learn more: https://advertalize.com/r/491818c79fb1873fChaser is the only Slack-native project management platform that helps teams turn messages into tracked tasks, automate follow-ups, and maintain team-wide visibility, without adopting another tool. Now integrated with Claude and other GenAI tools. Learn more at trychaser.com and use code AGILEBRAND for a 3-month free trial (normal trial is 14 days).The most influential minds in software, AI, and engineering leadership will be at WeAreDevelopers World Congress North America, September 23-25 in San Jose. Learn more: https://aglbrnd.co/r/60a7299222a7bcf1Start building your own apps with Replit and get $20 off. Learn more: https://aglbrnd.co/r/93531742a7625a20Enjoyed the show? Tell us more at and give us a rating so others can find the show at: aglbrnd.co/r/faaed112fc9887f3Connect with Greg on LinkedIn: linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter and more: aglbrnd.co/r/35ded3ccfb6716baCheck out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: agilebrandguide.comThe Agile Brand is produced by Missing Link. Hosted on Acast. See acast.com/privacy for more information.

Send us Fan MailOn this episode of Embedded Insiders, Ken sits down with Marcello Majonchi, Chief Product Officer at Arduino, to discuss the Qualcomm acquisition, whether Arduino will continue to develop on non-Qualcomm platforms and products, and the company's future plans.Next, Yednesh Parnaik, Head of Strategic Sales & Growth for Automotive, EV & Industrial Automation at ENNOVI, joins the podcast to discuss electrification and AI.For more information, visit embeddedcomputing.com

Are the platforms you rely on most for growth also the biggest barriers to understanding it?Agility requires a clear view of the entire customer journey, not just the isolated moments within a single platform. This means brands must adapt their strategies to operate effectively across the open internet, not just within its walled gardens.Today, we're going to talk about a fundamental disconnect in modern marketing: while AI is enabling a consumer journey that is more fluid and dynamic than ever, many marketers are still planning, executing, and measuring their efforts in platform-specific silos. This can create a distorted view of performance and limit a brand's ability to drive real growth.To help me discuss this topic, I'd like to welcome Todd Parsons, Chief Product Officer & President of Performance Media at Criteo. About Todd ParsonsTodd Parsons is Chief Product Officer and President of Performance Media at Criteo, where he leads the company's global product and Performance Media organization. Since joining in 2020, he has been instrumental in transforming Criteo's platform, advancing AI-powered solutions for predictive bidding, creative assembly, and merchandising, while scaling self-service activation across channels. In 2025, he assumed leadership of Performance Media to unify product, design, analytics, and go-to-market under a single vision for growth. With more than two decades of experience at the intersection of data and marketing, Todd has held leadership roles driving innovation across the industry. He previously served as Chief Product Officer at SocialCode, where he developed tools to activate and measure first-party audiences across platforms including Facebook, Amazon, and YouTube, and earlier helped establish OpenX as the first people-based programmatic marketplace. At Criteo, he continues to shape the future of commerce media, leveraging over a billion daily shopper interactions to deliver measurable outcomes for brands and retailers worldwide.Todd Parsons on LinkedIn: https://www.linkedin.com/in/toddaparsons---------- Resources ---------- Criteo: criteo.comThis show is brought to you by Criteo. Their new self-service platform, Criteo GO, makes AI-powered advertising simpler and more accessible for brands looking to drive demand, acquire customers, and scale performance. By enabling cross-channel performance across display, web, video, social, and even ChatGPT, Criteo GO helps brands reach shoppers with smarter advertising powered by real-time commerce signals.We're proud to be a media partner for #MAICON26 - Oct. 13-15! Learn how AI can power your marketing and business and help you grow smarter. Use code AGILE150 to save! https://aglbrnd.co/r/7fe458ced0f04658Reach your customers with Reddit. Spend $500 in ad spend, get $500 back in ad credit! Learn more: https://advertalize.com/r/491818c79fb1873fChaser is the only Slack-native project management platform that helps teams turn messages into tracked tasks, automate follow-ups, and maintain team-wide visibility, without adopting another tool. Now integrated with Claude and other GenAI tools. Learn more at trychaser.com and use code AGILEBRAND for a 3-month free trial (normal trial is 14 days).The most influential minds in software, AI, and engineering leadership will be at WeAreDevelopers World Congress North America, September 23-25 in San Jose. Learn more: https://aglbrnd.co/r/60a7299222a7bcf1Start building your own apps with Replit and get $20 off. Learn more: https://aglbrnd.co/r/93531742a7625a20Enjoyed the show? Tell us more at and give us a rating so others can find the show at: aglbrnd.co/r/faaed112fc9887f3Connect with Greg on LinkedIn: linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter and more: aglbrnd.co/r/35ded3ccfb6716baCheck out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: agilebrandguide.comThe Agile Brand is produced by Missing Link. Hosted on Acast. See acast.com/privacy for more information.

Our HostsLily Smith enjoys working as a consultant product manager with early-stage and growing startups and as a mentor to other product managers. She's currently Chief Product Officer at BBC Maestro, and has spent 13 years in the tech industry working with startups in the SaaS and mobile space. She's worked on a diverse range of products – leading the product teams through discovery, prototyping, testing and delivery. Lily also founded ProductTank Bristol and runs ProductCamp in Bristol and Bath.Randy Silver is a Leadership & Product Coach and Consultant. He gets teams unstuck, helping you to supercharge your results. Randy's held interim CPO and Leadership roles at scale-ups and SMEs, advised start-ups, and been Head of Product at HSBC and Sainsbury's. He participated in Silicon Valley Product Group's Coaching the Coaches forum, and speaks frequently at conferences and events. You can join one of communities he runs for CPOs (CPO Circles), Product Managers (Product In the {A}ether) and Product Coaches. He's the author of What Do We Do Now? A Product Manager's Guide to Strategy in the Time of COVID-19. A recovering music journalist and editor, Randy also launched Amazon's music stores in the US & UK.

Osaic's Aida Dillman meets with Danny Lohrfink, Co-Founder and Chief Product Officer at Wealth.com, who shares valuable information about how their tool can assist in your financial practice. Danny talks about estate planning to income tax planning and how you can offer a broader suite of services. Solve the "swivel chair problem" by using the advanced AI tools in Wealth.com, including auto-generation of flowcharts.

For most small and midsize businesses, financial operations still look a lot like they did a decade ago. Bills get keyed in manually. Receipts pile up. W-9s get chased down at tax time. While the tools have multiplied, the work hasn't gone away. “Most finance teams work in an incredibly manual way,” says Michael Cieri, Chief Product Officer at BILL. “There's a ton of work done by finance professionals that could be automated, and could actually be done better through the use of technology.” The gap between the promise of modern financial software and the day-to-day reality of running the books at a small business is something BILL has spent nearly two decades trying to close. The company processes over 1% of US GDP in payments and has moved more than a trillion dollars across its platform – a scale that gives it both a data advantage and a particular sense of accountability. When you're handling that volume of transactions for the long tail of American businesses, the stakes of getting automation wrong are very high. Cieri joins us on the show to talk through where BILL's product thinking stands today: how Cieri's team decides when to take big swings versus make incremental improvements, how it builds and validates AI features for a high-trust domain.

Watch this episode ad-free by joining the ITBR Patreon! ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠patreon.com/ivorytowerboilerroom⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠-----Author of the novel Moderation Elaine Castillo is here! We had a super informative talk about the leaps and bounds moderation has made on the internet since its conception in the 90's. What's it like moderating the internet now that it's designed to keep people addicted or depressed?Do tech oligarchs use similar exploitive labor practices that we've seen used by white imperialist nations throughout history? These are the loaded questions we discuss here on ITBR so tune in and check out Elaine Castillo and her new novel Moderation down below!Girlie Delmundo is the greatest content moderator in the world, and despite the setbacks of financial crises, climate catastrophe, and a global pandemic, she's going places: she's getting a promotion... Despite the isolation that virtual reality requires from colleagues, friends, and family, the unbelievable perks of her new job mean she can solve a lot of her family's problems with money and mobility...But when she meets William Cheung, Playground's wry, reticent co-founder (now Chief Product Officer) and slowly unearths some of his secrets, and finds herself somehow falling in love, she'll learn that history might be impossible to moderate and the future utterly impossible to control.Elaine CastilloModeration by Elaine Castillo: 9780593489680 | PenguinRandomHouse.com: Books-----Follow ITBR on IG ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@ivorytowerboilerroom⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and TikTok ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@dr.andrewrimby⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Be sure to subscribe to our YouTube channel where you can watch video episodes of the podcast: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@ivorytowerboilerroom⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Thanks to our following sponsors! To subscribe to The Gay and Lesbian Review visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠glreview.org⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Click Subscribe and enter promo code ITBRChoice to get a free issue with a subscription purchase. Follow them on IG ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@theglreview⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and TikTok ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@g_and_lr⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Head to Broadview Press, an independent academic publisher, for all your humanities related books. Use code ivorytower for 20% off your⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ broadviewpress.com ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠order. Follow them on IG ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@broadviewpress⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Thanks to the ITBR team! Dr. Andrew Rimby (Host and Director), Mary DiPipi (Chief Contributor), and Sean Penta (Editor)

Johan Land, Chief Product Officer at Samsara, breaks down why every major AI lab crowded into the easy 90% of knowledge work while ignoring the 40% of the economy that is physical and the 80% of workers who never sit at a desk. He explains why intelligence on a battery budget has to live on the edge - collision warnings fire in milliseconds, making GenAI's hundreds of milliseconds of latency unthinkable behind the wheel - while the heavy pattern-spotting waits for the backend. Johan also dives into why the era of dashboards is over, describing an agent that calls a drowsy driver over the in-cab camera to talk him into a coffee break, and why coverage across 99% of US roads beats a robotaxi fleet's high-resolution sensors. Finally, he argues frontline augmentation lasts indefinitely, since a delivery that navigates the dog and sets down the package is far messier than driving the van autonomously. This episode contains sponsored content.

If you've not listened to Round Up before, it's a short review of the episodes that I've published in the last month to make sure you don't miss out on the valuable insights that my guests are sharing. This month Round Up returns to its live format, and this is a recording of my live conversation with Ben Chino, Co-Founder and Chief Product Officer of Maki People, about five of the episodes published in May and June 2026 Episodes featured in this Round Up: Ep 790: Rethinking Work In The Age Of AI Ep 791: Making Agentic AI Work For HR & Talent Ep 797: Hiring The Humans Behind The Robots Ep 799: Growing the Talent You Can't Hire Ep 800: Will AI Break Recruiting? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

What does it actually take to build an executive team from nothing? This week on The Data Minute, Ashley Neville fills in for Peter and sits down with Francois Ajenstat, Founder and CEO of Golden Analytics, to talk hiring at the earliest stages of a company, from seed through Series B.Francois spent over a decade as Chief Product Officer at Tableau before leading product at Amplitude, and recently launched Golden Analytics, an AI-native BI platform that just closed $21 million in total seed funding. He walks through why he sees fundraising as less about the check and more about finding long-term partners, why he never set out to build a foundational model, and why he thinks the fear around AI replacing data analysts has it backwards. He also breaks down his approach to those first few hires: starting with people he trusts completely, using Carta's own compensation data to build trust with candidates during offer negotiations, and the three-part test he runs on every new hire around AI fluency, taste, and ownership of outcomes.The conversation also covers Golden's unconventional customer feedback loop, the surprising order in which startups actually hire across functions, and Francois's long-running framework for job satisfaction: the work, the people, and the recognition.Subscribe to Carta's weekly Data Minute newsletter: https://carta.com/subscribe/data-newsletter-sign-up/Explore interactive startup and VC data, with Carta's Data Desk: https://carta.com/data-desk/Chapters: 01:17 – Announcing the $21M Seed: Fundraising Is About Partners, Not Just Capital 02:57 – Pitching Golden Analytics: Zig When Everyone Else Zags 06:06 – Why Golden Isn't Building Its Own Foundational Model 07:48 – The Privacy Question: Why Golden Never Sends Customer Data to the Models 09:17 – Will AI Replace the Data Analyst? (No, It Makes Them 10x) 10:57 – From CPO to "Solo" Founder: Why the Label Never Fit 13:14 – Hiring Employee One: The Former Tableau CTO 15:17 – Using Carta's Comp Data to Build Trust with Candidates 17:42 – Thinking About the ESOP from Day One 19:08 – The New Hiring Bar: AI Fluency, Taste, and Ownership 21:44 – Inside a Seven-Person Company Outshipping the Competition 22:46 – No Wall Between Customers and Engineers 24:33 – Making Customers Feel Like Founders 27:03 – An Unboxing: The Golden Analytics Coin 28:06 – The First Experience: What Happens When You Open Golden 29:33 – Surprising Data: Founders Hire Before They Raise 30:52 – The Order of Hires: Why CFOs Come Before Revenue 32:18 – Fractional vs. Full-Time: "Does This Make the Beer Taste Better?" 34:22 – What's Next to Hire: Engineers Ahead, Sales Behind 36:11 – Why Golden Skips the Middle: Senior Talent Paired With Junior Hunger 38:25 – Education, Fear, and Learning by Doing 41:15 – Building Carta's Own Report With AI, Faster 43:06 – Every Company Is a Data Company 44:27 – The Customer Data Francois Obsesses Over Daily 47:28 – Is SaaS Dead? Why the "Apocalypse" Headlines Miss the Point 49:21 – The Three-Factor Test for Job Satisfaction 51:47 – Redefining Appreciation: Experiences Over Titles 54:47 – What's Next for Golden Analytics 56:30 – OutroThis presentation contains general information only and eShares, Inc. dba Carta, Inc. (“Carta”) is not, by means of this publication, rendering accounting, business, financial, investment, legal, tax, or other professional advice or services, and is for informational purposes only.  This presentation is not a substitute for such professional advice or services nor should it be used as a basis for any decision or action that may affect your business or interests. © 2026 eShares, Inc., dba Carta, Inc. All rights reserved. In the interest of transparency, Golden Analytics is a customer of eShares, Inc. dba Carta, Inc. ("Carta").  While we have invited them here today to discuss their journey, please note that this is not an endorsement, solicitation, or recommendation for Golden Analytics or Carta. Carta does not assume any liability for reliance on the information provided during this podcast.

Europe is developing green energy at lighting speed.  But as solar and wind generation reaches record levels, new challenges are emerging across the electricity system. Negative prices, grid congestion, curtailment and falling capture prices are raising a fundamental question: has renewable deployment reached its limits, or is the rest of the energy system failing to keep pace?In this episode of the Plugged In Summer Series, we explore whether Europe's next challenge is no longer building renewable generation, but integrating it.Host Snjólfur Richard Sverrisson, Editor-in-Chief of Montel News, is joined by Dr Lion Hirth, one of Europe's leading energy market economists and Professor of Energy Policy at the Hertie School; Luca Pedretti, Chief Product Officer & Co-Founder of Pexapark; and Professor Jan Rosenow, one of Europe's foremost experts on energy efficiency and electrification, and Professor of Energy and Climate Policy at the University of Oxford.Together they examine whether current market structures, grids and policy frameworks are fit for a predominantly green energy system,, how investors are responding to growing merchant risk, and why flexibility, storage and electrification could determine whether Europe's energy transition continues to accelerate…or begins to slow down.Host:Snjólfur Richard Sverrisson, Editor-in-Chief, Montel NewsGuests:Dr Lion Hirth, Professor of Energy Policy, Hertie SchoolLuca Pedretti, Chief Product Officer & Co-Founder, PexaparkJan Rosenow, Energy Programme Leader and Professor of Energy and Climate Policy, University of OxfordProducer: Alexandra Carlon Editor: Alexandra Carlon

In this episode of The Product Podcast by Product School, Carlos González de Villaumbrosia sits down with Jeff Kunins, Chief Product Officer and Chief Technology Officer at Axon, the company that created the Taser and the body cameras federal agencies wear. Axon ingests more video per year than YouTube, and with a market cap of approximately $32.9 billion and $2.78 billion in revenue, growing 33% year over year, it is one of the highest-growth companies in the S&P 500. What you'll learn:How law enforcement agencies are using AI inside body cameras and Tasers to save lives, not just hit metrics.Why Axon declared a public moratorium on facial recognition AI for six years and what finally changed.How Axon embeds external activists and researchers directly into product manager squads as a design input, not a compliance process.Building first-party AI models for real-time license plate detection while using foundation LLMs for everything else.Key takeaways:Axon created the Taser and the body cam, and now ingests more video per year than YouTube. Most people have never heard of them.Build only what you must to be differentiated. Everything else, license from the best available source.Ethics review is not a compliance burden. When embedded in the product lifecycle, external critics help you see around corners and design better products.Credits:Host: Carlos Gonzalez de VillaumbrosiaGuest: Jeff KuninsSocial Links:Find out more about Product School hereFollow our Podcast on TikTok hereFollow Product School on LinkedIn here

Charity Ibhadon is a Global Product Director at WPP, where she leads the development of an AI marketing tool. With 15 years in product — including three formative years at ASOS during its high-growth heyday — she came to the discipline via a decade in investment banking and an executive MBA. She has operated at VP and CPO level, leading large international teams across consumer technology and media.We discuss:— Why the explosion of product frameworks, books, and LinkedIn benchmarks has made it harder, not easier, to feel like you're doing the job well — regardless of seniority— How the physical symptoms of burnout can masquerade as markers of success, and why high-achieving women in particular are vulnerable to that misreading— What it actually takes to recover: stepping away, finding what your body needs outside of work, and stopping short of making your job your entire identity— Why being genuinely enjoyable to work with is a more durable career advantage than any certification or methodology— How the Eisenhower matrix — do, defer, delegate, delete — can be a practical daily tool for protecting energy, not just a poster on a wall— The case for "happy high status": remaining calm and unflappable under pressure as a learnable leadership behaviour, not a personality trait— Why commercial curiosity — understanding what moves the business and staying interested in the world — will matter more for long-term product careers than AI certificatesChapters:0:00 Introduction 1:29 Charity's background 4:00 Why product feels harder than ever 6:34 Why fun at work matters 8:45 Recognising burnout 10:25 When burnout feels like success 12:13 Finding your way back 16:18 Fun as a strategic advantage 18:00 Staying calm under pressure 22:26 The "CEO of the product" myth 22:41 Mindset for a long career in product 24:45 Building resilience 26:35 Wrap-upReferencedEisenhower matrix | https://en.wikipedia.org/wiki/Priorit...Charity's keynote at #mtpcon London |    • Product is Hard. It should still be fun: C...  Our HostsLily Smith enjoys working as a consultant product manager with early-stage and growing startups and as a mentor to other product managers. She's currently Chief Product Officer at BBC Maestro, and has spent 13 years in the tech industry working with startups in the SaaS and mobile space. She's worked on a diverse range of products – leading the product teams through discovery, prototyping, testing and delivery. Lily also founded ProductTank Bristol and runs ProductCamp in Bristol and Bath.Randy Silver is a Leadership & Product Coach and Consultant. He gets teams unstuck, helping you to supercharge your results. Randy's held interim CPO and Leadership roles at scale-ups and SMEs, advised start-ups, and been Head of Product at HSBC and Sainsbury's. He participated in Silicon Valley Product Group's Coaching the Coaches forum, and speaks frequently at conferences and events. You can join one of communities he runs for CPOs (CPO Circles), Product Managers (Product In the {A}ether) and Product Coaches. He's the author of What Do We Do Now? A Product Manager's Guide to Strategy in the Time of COVID-19. A recovering music journalist and editor, Randy also launched Amazon's music stores in the US & UK.

  Join Sundeep Ahluwalia, Chief Product Officer at TDK SensEI, as he explores the future of industrial manufacturing and computer vision. In this webinar, Sundeep introduces edgeRX Vision—a powerful combination of computer vision and edge AI designed to deliver fast, accurate quality control directly on the production line. Currently deployed in TDK manufacturing facilities worldwide, edgeRX Vision can inspect up to 2,000 parts per minute, detecting defects in components as small as 1 mm × 0.5 mm. Discover how edgeRX Vision enables manufacturers to achieve: Enhanced AOI capabilities Higher production throughput Real-time visual feedback Precision driven by AI Reduced human error PRESENTER: Sundeep Ahluwalia Chief Product Officer Presented by TDK SensEI Visit https://advancedmanufacturing.org/webinars for more webinars and an interactive experience with visuals.

In this Big UC Update interview for UC Today, Marcus Law speaks with Dan Nadir, Chief Product Officer at Theta Lake, about how enterprises are rethinking compliance, security, and archiving for modern communications.Dan explains how Theta Lake helps regulated organizations capture, archive, and supervise communications across collaboration platforms, including Zoom, Microsoft Teams, Webex, RingCentral, Cisco, and Workvivo. He also discusses the fast-growing role of AI governance, the risk of configuration drift, and why compliance teams need more than basic retention policies to manage today's digital communications.The conversation explores how Theta Lake's AI-native platform supports digital communications governance and archiving, detects risk across multiple channels, and helps firms prove that content has been captured and retained correctly. Dan also shares how the company is evolving its platform to support new communication types, AI interactions, legal discovery, and regulated customer needs around the world.For UC and collaboration leaders, the message is clear: as communication channels multiply, compliance needs to become more intelligent, more connected, and easier to operationalize.

JC is joined by Ty Fujimura, Chief Product Officer at Element451, and Matt Ellis, Chief Product Officer at Encoura, to dive into two rapidly evolving stories shaking the ed tech world: the high-stakes drama of AI governance, sparked by the latest developments around Anthropic's Mythos/Fable models and export bans, and the staggering costs and ROI projections of AI software in higher ed.  Ty and Matt also give a deep dive on the newly launched Encoura Connect—a powerful partnership between Encoura and Element451 that promises to bring predictive enrollment intelligence and agent-driven CRM capabilities together like never before. They explore what this means for institutions, how the landscape of personalization and data-driven engagement is shifting, and why thoughtful AI governance and spend management will play a central role in higher ed's future. Whether you're a marketer, technologist, or leader in education, this is the conversation that pulls back the curtain on where AI is taking your campus next. - - - -Connect With Our Co-Host:Dr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/About The Enrollify Podcast Network:Higher Intelligence is a part of the Enrollify Podcast Network. If you like this podcast, chances are you'll like other Enrollify shows too! Enrollify is made possible by Element451. Learn more at element451.com. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

This week on Dev Interrupted, Slack's Chief Product Officer, Jaime DeLanghe, joins the show to explain why enterprise AI value depends on embedding custom bots directly into your existing team communication loops rather than deploying them inside isolated, single-player chat silos. She breaks down the platform's shift toward open ecosystem standards like the Model Context Protocol (MCP) and how dynamic UI frameworks are transforming standard channels into active execution environments. Jaime details the operational realities of managing autonomous software fleets, including a striking look at how leading companies are placing hundreds of custom agents directly onto their corporate org charts.Life Beyond Tokenmaxxing Workshop: Watch the full replay on demand at linearb.io Follow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's guest:Slackbot MCP Client: Learn more about connecting your tools to Slackbot via the Model Context Protocol at the Slack BlogSlack Developer Hub: Start building your own agentic workflows and explore the latest tools at slack.devConnect with Jaime: LinkedInOFFERSStart Free Trial: Get started with LinearB's AI productivity platform for free.Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.LEARN ABOUT LINEARBAI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Ari Paparo sits down with Todd Parsons, President of Performance Media and Chief Product Officer at Criteo, to discuss the launch of Criteo GO, an AI-powered performance platform that unifies cross-channel advertising across the open web, Meta, TikTok, and OpenAI. They explore AI-driven campaign automation, commerce data, retail media, agentic AI, GEO, and what the future of digital advertising looks like. Takeaways Criteo GO simplifies cross-channel performance marketing with AI. Commerce intelligence powers better campaign optimization and outcomes. AI reduces onboarding from weeks to just hours. Agentic AI is beginning to automate media planning and execution. GEO could reshape how brands compete for AI-driven discovery. Chapters00:00 Introduction to Todd Parsons and Criteo00:50 What is Criteo GO?02:05 Who is Criteo GO built for?03:12 Cross-channel performance marketing explained04:00 Commerce data and retail media strategy06:00 Measuring real performance outcomes09:20 How AI powers Criteo GO11:45 Agentic AI and the future of media buying13:05 Self-service advertising and SMB growth15:38 Lightning round: competition, roadmap, and GEO18:08 Closing thoughts Guests: Ari Paparo, Todd Parsons Learn more about your ad choices. Visit megaphone.fm/adchoices

Every headline wants you to believe AI has rewritten the rules of cybersecurity. Eric Doerr, the Chief Product Officer at Tenable a Resilient Cyber Partner, is not so sure. After running security response at Microsoft and leading security products at Google Cloud, he came on to separate the genuine transformation from the noise, and his read is refreshingly grounded. The tools changed, but the fundamentals did not, and the teams that win are the ones who finally act on that.Why this conversation mattersEric sits at a rare intersection, having lived the post-breach world of the SOC and now building the pre-breach world of exposure management. That vantage makes him a sharp guide to what AI actually shifts for defenders, from why cheaper discovery makes prioritization more valuable to how AI becomes its own attack surface once agents start touching your data. If you own vulnerability or exposure management and you are trying to spend your next dollar well, this conversation is a practical map of where the real risk lives and what to automate first.Key takeawaysAttackers are ruthlessly economical. Eric calls bad actors the perfect capitalists, spending the least effort needed to hit their goal, which is why so many still get in through unpatched basics rather than anything AI-powered.AI has not rewritten the offense-defense balance. The attacker only ever had to be right once, layered defense and zero trust still hold, and the real lever is accelerating your program with fewer human loops rather than lamenting the asymmetry.Cheaper discovery makes context more valuable, not less. Reachability and exploitability mean most findings are not worth chasing, so as AI floods teams with more of them, telling the truly scary hundred from the theoretical ten thousand becomes the whole game.Being too small to target is a strategy on borrowed time. As automation drives the cost of attacks toward zero, the quiet bet that adversaries will hit weaker neighbors stops paying off, and Eric would move off that mentality now.Humans should not be the bottleneck on every fix. Getting the workflow and tooling right is most of the work, and the rest is the organizational willingness to let validated automation act, even when a business partner would feel better with a human in the loop.AI is special and not special at the same time. It is mostly just another attack surface, and Eric estimates 80 to 90 percent of securing it maps to patterns the industry already learned during the move to cloud.Shadow AI is the first surprise in almost every environment. When teams scan the endpoints they already interrogate for AI artifacts, nearly all of them find something they never sanctioned, which is why discovery has to come before control.The real AI risk is interconnection. A misconfigured database was a needle in a haystack until you wire it to an agent, and then a harmless question about the budget quietly returns data the asker should never see.Most breaches are not even CVEs. Citing the Verizon DBIR, Eric notes roughly two-thirds of breaches trace to misconfigurations, and since about a third of Tenable's findings are non-CVE, a third of your findings can carry two-thirds of your risk.Agentic automation is finally killing the toil. Early users are automating drudgery like asset tagging and full remediation workflows, with one manufacturing customer letting automation handle 80 to 90 percent and scheduling the rest for change windows with a human notified.Notable quotes“Bad actors are the most perfect representation of capitalism”Eric Doerr, on why attackers do the least work necessary and often skip AI entirely.“a third of their findings are two-thirds of their risk”Eric Doerr, on why misconfigurations, not CVEs, drive most breaches.“you're on the wrong side of history”Eric Doerr, on insisting a human eyeball every automated fix.

The Tim Conway Jr. Show Hour 4 (7.1) Everyone’s catching serious patriotic FIFA fever! Local bars are serving up special tournament drinks while parents bring the kids to the watering holes so they don’t miss the action. Rosie Rios, Chair of America250 and former US Treasurer joins Timmy! She’s helping lead the nation’s 250th birthday celebrations and will be in LA for the massive America’s Block Party Benefit Show at the LA Coliseum on the 4th with Maren Morris, Chris Stapleton, Smashing Pumpkins, Chaka Khan, Anthony Ramos and host Queen Latifah. Tickets are a steal at just $17.76 on Ticketmaster. Aaron Klein, Chief Product Officer of Petco Love, also stops by to highlight their amazing nonprofit using free AI tech that’s already reunited over 250,000 lost pets with their families — a happy reunion every four minutes! And in other news, sad to report that Village People’s iconic “policeman” Victor Willis, co-writer of “Y.M.C.A.” and “Macho Man,” has passed at 74. Meanwhile, two daredevils scaled nearly 1,500 feet up the Empire State Building in masks and black for a very public marriage proposal — she said yes to bucketloads of attention!See omnystudio.com/listener for privacy information.

Enterprises have been slogging through the AI adoption journey, but cybersecurity threat actors have been too. As the time from vulnerability discovery to breach effectively goes to zero, the new cybersecurity playbook is all about how fast you can recover. We Meet:  Anneka Gupta is the Chief Product Officer at Rubrik Credits:This episode of SHIFT was produced by Jennifer Strong with help from Emma Cillekens. It was mixed by Garret Lang, with original music from him and Jacob Gorski. Art by Meg Marco.

Building a billion-dollar company requires more than a great idea—it takes customer obsession, disciplined investing, and smart scaling. In this special compilation episode, Travis Chappell brings together insights from three remarkable entrepreneurs: Tomer London, co-founder and Chief Product Officer of Gusto; Jim Lebenthal, Chief Market Strategist at Cerity Partners; and Richard Harpin, founder of HomeServe. Together, they share practical lessons on creating products customers love, investing for the long term, and scaling businesses without losing control. On this episode we talk about: Why solving real customer problems is the foundation of billion-dollar companies. The importance of product development and customer feedback in building lasting businesses. Why long-term investing consistently outperforms trying to time the market. How entrepreneurs should think about fundraising, ownership, and scaling. The systems, metrics, and business models that helped HomeServe grow into a multi-billion-dollar company. Top 3 Takeaways The best businesses begin with a deep understanding of customer pain points and an unwavering commitment to building products that genuinely solve them. Whether investing or building a company, patience and long-term thinking outperform chasing short-term wins. Prove your business model before scaling aggressively. Grow sustainably, maintain ownership whenever possible, and let strong unit economics guide expansion. Notable Quotes "Consumers get amazing technology. Small businesses deserve great technology too." "The best days in the market almost always happen right after the worst days." "Keep it small, prove the model, get to profitability, and then, if you need money to scale, that's when you should bring in an investor." Connect with the Guests: Tomer London LinkedIn: https://www.linkedin.com/in/tomerlondon/ Other: Gusto: https://gusto.com/ Jim Lebenthal LinkedIn: https://www.linkedin.com/in/jim-lebenthal/ Book: How to Ride the Subway: Getting Around on Wall Street and Life Other: Cerity Partners: https://ceritypartners.com/ Richard Harpin Book: How to Make a Billion in Nine Steps Instagram: https://www.instagram.com/richard_harpin/ A Word from Our Sponsors: - Visit DrinkAG1.com/TMM to get a free AG1 Travel Case with 7 free AG1Travel Packs in your Welcome Kit with your first AG1 subscription order while supplieslast.  - Go to Leesa.com for 30% OFF select mattresses (through July 12, 2026) PLUS get an extra $50 off with promo code TMM, exclusive for my listeners  - To learn more about Mode Mobile and its investor community, go to https://invest.modemobile.com/travismakesmoney -Travis Makes Money is made possible by High Level – the All-In-One Sales & Marketing Platform built for agencies, by an agency.Capture leads, nurture them, and close more deals—all from one powerful platform.Get an extended free trial at gohighlevel.com/travis Learn more about your ad choices. Visit megaphone.fm/adchoices

Sean Barry's team used to spend six months building a feature. Now they build it in two to three weeks.In Part 2, Sean and Dwayne move from the AI transformation inside LeanScaper to the bigger picture: what the software industry looks like in twelve months, why autonomous cars and AI adoption are fundamentally different problems, and what it actually means to participate in this change rather than spectate. In this episode: Why the software industry is facing a potential 50-80% company turnover in the next 12-18 months — and why it's simultaneously the best time to be a consumer of technology and the most terrifying time to be building it The voice and ambient AI future that Sean sees arriving in the next 12 months: screens shrinking from 98% of the interface to 60%, then 20%, as conversational AI replaces the need to navigate software at all Why AI adoption is fundamentally different from autonomous car adoption — when the choice is 150 hours of your time versus 5 hours with AI, it's not a choice your employer gives you, it's a choice that gets made for you How AI can lift wages across entire workforces by removing waste from businesses — Sean's case that the real gift of AI isn't productivity, it's the ability to pay people more Sean's closing philosophy on AI and empathy: the sentiment is largely negative because people aren't participating, and the antidote isn't optimism — it's getting informed, then helping others do the same Start building your identity with Dwayne's Identity Framework created for the LeanScaper Conference: https://www.dwaynekerrigan.com/identity-framework/Episode Highlights: 00:00 - Be Informed About AI 00:25 - Podcast Intro 01:26 - Shipping Faster With AI 05:55 - Producing What Was Impossible 09:52 - Keeping Pace With Change 11:01 - AI's Growth Curve 12:11 - Voice First Interfaces 16:54 - Future Of Software SaaS 21:16 - Build Vs Buy For SMBs 25:23 - Leverage Expertise With AI 27:31 - Does It Ever Normalize 31:12 - Autonomous cars 35:35 - Removing Waste Raising Wages 37:32 - Robotics And Scarcity 42:16 - How We Treat AI 46:12 - Participate With Empathy 51:12 - Closing And Disclaimers Resources mentioned: LeanScaper — AI operating system for the landscape industry Lana — LeanScaper's AI agent Mark Bradley — founder and chairman of LeanScaper Claude Code — referenced by Dwayne as the platform he used for his planned 10-week AI course for his staff and their families Lovable — referenced as a tool enabling small business owners to build their own apps Eleven Labs / Cartesia — referenced in context of voice AI development OpenClaw agents and Jarvis — referenced by Dwayne in context of his own AI setup Tesla / Waymo — referenced in autonomous vehicle comparison Anthropic — referenced re: recursive self-improvement blog post released day of recording Paul Akers's episode on The Dwayne Kerrigan Podcast — referenced regarding eliminating business waste: Episode 135: The Lean Maniac: Paul Akers on Eliminating Waste Quotes: “ This isn't a choice. Like, people who think this is a choice aren't paying attention. Back to what I said before, this happens either to you or with you.” - Sean Barry “ What we accomplished in that two, three weeks would have taken us six months.” - Sean Barry “ I honestly think it's normalizing already, and I have a wonderful wife who, who grounds me in these things because as well I'm like, "Man, if we're not go, go, go, like, we're gonna be left behind." And her very nuanced understanding of people, way better than I have, is like change takes time and people need time.” - Sean Barry “ Nobody likes uncertainty, but that's where all the growth lies, is in your uncomfort.” - Dwayne Kerrigan “ We can help an industry transform the lives of its entire workforce because we can take all of the waste out, and then all of a sudden there's enough money to really pay people well.” - Sean Barry About Sean Barry: Sean Barry is the Chief Product Officer at LeanScaper, an AI operating system and business community built specifically for the landscape and snow contracting industry. He brings nearly two decades of product and digital leadership experience, including almost four years at LMN (Landscape Management Network) — the landscape industry's leading business management platform — where he rose from SVP of Product to Chief Product Officer. Before entering the green industry, Sean spent 14 years at Laughlin Constable, a Milwaukee-based agency, where he built his career from Lead Engineer to SVP of Digital, Account and Innovation. He is currently at the forefront of applying AI to real-world business operations for contractors. Connect with Sean Barry: https://leanscaper.com/ https://www.linkedin.com/in/sbarry/ Connect with Dwayne Kerrigan Facebook Instagram Linked In Website Disclaimer: The views, information, or opinions expressed by guests during The Dwayne Kerrigan Podcast are solely those of the individuals involved and do not necessarily represent those of Dwayne Kerrigan and his affiliates. Dwayne Kerrigan or The Dwayne Kerrigan Podcast is not responsible for and does not verify the accuracy of any of the information contained in the podcast series. The primary purpose of this podcast is to educate and inform. Listeners are advised to consult with a qualified professional or specialist before making any decisions based on the content of this podcast.

Kartik Yellepeddi, Chief Product Officer at Duetto, says AI in pricing is stuck at level one: algorithms that recommend prices. That's the problem. Building three levels is the solution.

In this episode of The Product Podcast by Product School, Carlos González de Villaumbrosia sits down with Arnab Bose, Chief Product Officer at Asana. Asana is the work management platform built for human and AI collaboration, trusted by over 170,000 customers including Accenture, Amazon, and Anthropic. The platform's Work Graph maps goals to portfolios to projects to tasks and serves as the foundation for Asana's AI Teammates: collaborative agents that operate inside the graph, learn from human decisions, and compound their intelligence with every cycle. What you'll learn:Why enterprise AI spend keeps returning zero productivity gains, and what is structurally breaking the loopWhy every employee approval, correction, or rejection of AI output is training data that makes the system smarter over timeHow Asana wires its own processes through the Work Graph so that AI decisions write back automatically and compound rather than resetHow PLG, forward-deployed engineers, and AI agents all report to the CPO, each under a GM who owns a revenue numberWhy the future of AI at work belongs to whoever has the richest shared context, not whoever has the best modelKey takeaways:Individual AI productivity gains compound into zero enterprise ROI when decisions never write back into a shared systemEvery human approval or correction is training data. The companies that capture it structurally will pull ahead of those that don'tPLG is an acquisition funnel, not a sales motion. Giving it a GM with a revenue number inside product changes the incentives entirelyCredits:Host: Carlos Gonzalez de VillaumbrosiaGuest: Arnab BoseSocial Links:Find out more about Product School hereFollow our Podcast on TikTok hereFollow Product School on LinkedIn here

Vonny Laing is a user-centred design lead at the Student Loans Company, part of the UK government, where she oversees a service used by millions of people at every stage of their higher education journey. She has held roles spanning UX design, content design, and head of design across both public and private sectors, and completed an MBA specifically to earn the language of business — and with it, a seat at the table where design decisions get made. We discuss why designing from the majority inward produces invisible failures, how flipping to an underserved-first model creates a halo effect for all users, and why government service assessments make the happy-path approach structurally untenable. Vonny shares how a single day of guerrilla research at a further education college surfaced a critical gap between student loan payments and universal credit eligibility that years of data had never revealed — and why synthetic users can never replicate that. We also get into her "eat your greens" principle for designing across a user's whole life; the case for disaster thinking over happy-path optimism; how stories and verbatims move executives more reliably than dashboards; and why designers who learn to speak business become a secret weapon in any organisation.Chapters:(00:53) Welcome and introductions (01:23) Vonny background (02:10) Moving fast in the civil service (04:02) The UK government digital community (05:05) The pyramid model (07:03) Underserved versus edge case users (08:09) Designing at population scale (09:43) Service assessments and design accountability (11:01) Discovery research methodology (13:25) Finding users invisible in the data (16:22) Bridging gaps you cannot fix (18:42) Eat your greens: needs versus wants (20:07) Designing for users over time (21:04) Worst-case scenario thinking (22:11) Mining complaint logs and prioritising (25:47) Why synthetic users fall short (28:12) Where automated testing has a role (29:19) Leave the building: guerrilla research (33:03) Communicating research through storytelling (36:29) Why Vonnie did an MBA (39:03) Design's ceiling in organisations (42:04) Wrap-upOur HostsLily Smith enjoys working as a consultant product manager with early-stage and growing startups and as a mentor to other product managers. She's currently Chief Product Officer at BBC Maestro, and has spent 13 years in the tech industry working with startups in the SaaS and mobile space. She's worked on a diverse range of products – leading the product teams through discovery, prototyping, testing and delivery. Lily also founded ProductTank Bristol and runs ProductCamp in Bristol and Bath.Randy Silver is a Leadership & Product Coach and Consultant. He gets teams unstuck, helping you to supercharge your results. Randy's held interim CPO and Leadership roles at scale-ups and SMEs, advised start-ups, and been Head of Product at HSBC and Sainsbury's. He participated in Silicon Valley Product Group's Coaching the Coaches forum, and speaks frequently at conferences and events. You can join one of communities he runs for CPOs (CPO Circles), Product Managers (Product In the {A}ether) and Product Coaches. He's the author of What Do We Do Now? A Product Manager's Guide to Strategy in the Time of COVID-19. A recovering music journalist and editor, Randy also launched Amazon's music stores in the US & UK.

In this UC Today interview, Marcus Law speaks with Bill Dellara, Chief Product Officer at VOSS, about why meeting room analytics has become a critical issue for IT, workplace, and real estate leaders navigating hybrid work.Bill explains why booking data often shows intent rather than reality, and how unused or poorly utilized rooms can quietly undermine return on investment, employee experience, and workplace planning. The discussion explores the problem of “phantom space,” the rise of heavily favored “hero rooms,” and the importance of combining booking data with telemetry, occupancy signals, environmental data, and equipment usage insights.The conversation also looks at how smarter analytics can improve room recommendations, support better hybrid working decisions, and help organizations understand whether their meeting spaces are genuinely fit for purpose.

In this episode of the Industry Spotlight, joining host Sam D'Arc are Mike Martucci, General Manager at Jim Ellis Kia, and Kevin Esmezyan, Chief Product Officer at Matador AI to discuss how conversational AI is turning a three-person sales team handling 700 leads a month into a machine that doubles close rates and books service appointments at nearly 90% — while most dealers are still missing after-hours calls and watching customers drive to the competition. Mike walked into a store with a light lead count and a low close rate and used Matador AI to nearly double both. Today, three team members handle 696 leads a month, two-thirds of all appointments are booked by AI, and his service retention rate has climbed from the 30s to 50%. Kevin explains how a crawl-walk-run onboarding process builds an AI that learns a dealer's specific playbook, and why the compounding effect of small adjustments over time is what actually moves the numbers. This episode of the Car Dealership Guy Podcast is brought to you by Matador AI. Topics: 05:00 Service Retention From 30% To 50%. 06:20 How One Dealer Doubled Close Rate. 07:50 Auto's 2% Profit Margin Problem. 11:35 Why Mike Trusts AI With Customers. 12:50 The AI That Learns To Think Like Mike. 13:45 The GM's New Job In 2026. 15:50 Why Auto Dealers Hide Pricing. 17:10 AI Books Two-Thirds Of Appointments. 18:20 Three BDC Staff Handle 700 Leads. 19:10 The Phone Book Lesson Every Dealer Needs. 21:20 The AI That Covers Customer Lifecycle. 23:20 Why Most AI Tools Fail Dealers. Matador AI - Most dealerships are losing leads in the follow-up. Matador AI fixes that. It's not generic automation. It's dealership-trained AI, built on millions of real conversations and optimized around what converts. In a thin-margin business, every conversation matters. Book your demo today and get your first month free @ here. Check out Car Dealership Guy's stuff: For dealers: CDG Circles ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://cdgcircles.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Industry job board ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://jobs.dealershipguy.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Dealership recruiting ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.cdgrecruiting.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Fix your dealership's social media ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.trynomad.co⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Request to be a podcast guest ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.cdgguest.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ For industry vendors: Advertise with Car Dealership Guy ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.cdgpartner.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Industry job board ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://jobs.dealershipguy.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Request to be a podcast guest ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.cdgguest.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Car Dealership Guy Socials: X ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠x.com/GuyDealership⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Instagram ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠instagram.com/cardealershipguy/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ TikTok ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠tiktok.com/@guydealership⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ LinkedIn ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠linkedin.com/company/cardealershipguy⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Threads ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠threads.net/@cardealershipguy⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Facebook ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠facebook.com/profile.php?id=100077402857683⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Everything else ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠dealershipguy.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

In this episode of ACM ByteCast, our special guest host Scott Hanselman (of The Hanselminutes Podcast) welcomes ACM Queue Editorial Board member Kelly Shortridge, Chief Product Officer at Fastly, where she previously served as VP of Security Products. Shortridge is the author of Security Chaos Engineering: Sustaining Resilience in Software and Systems (O'Reilly). An accomplished product executive, software innovator, and internationally recognized technical expert on resilience in complex systems, she is known for the application of behavioral economics, resilience, and DevOps principles to cybersecurity, and modernizing security programs. In the Kelly explains that security chaos engineering is really about resilience engineering—building systems that can recover quickly from inevitable failures. She makes an argument that organizations should prioritize adaptability, redundancy, and recovery over prevention, and encourages greater collaboration between security and platform engineering teams. The wide-ranging conversation covers “metrics theater,” the cost-resilience tradeoff, why software has unique advantages for simulation that we're not leveraging, and where LLMs fit (and don't fit) in security workflows.

For years, AI infrastructure conversations have focused primarily on securing enough power to support increasingly dense compute environments. But as hyperscale AI campuses scale toward gigawatt deployments, another resource is rapidly becoming just as consequential: water. On this episode of the Data Center Frontier Show podcast, DCF Editor in Chief Matt Vincent is joined by Leif Percifield, Chief Product Officer at Emergence Water, and Vamsi Mokkapati, Technical Director at Nimbus Advanced Process Cooling Systems, to examine why water is evolving from a sustainability metric into a strategic infrastructure consideration. The discussion explores how water availability is increasingly influencing data center site selection, cooling architectures, regulatory approvals, and long-term operational planning. The guests explain why communities are placing greater scrutiny on water use, why developers must now evaluate water availability 10 to 15 years into the future, and how water has effectively joined power and fiber as a foundational element of AI infrastructure planning. The conversation also examines the industry's growing focus on balancing water and energy efficiency rather than treating them as competing priorities. Percifield and Mokkapati discuss the importance of smarter water sourcing, construction-phase water requirements that are often overlooked, and why there is unlikely to be a single cooling solution capable of serving every AI deployment. The episode also explores the partnership between Emergence Water and Nimbus, which combines atmospheric water generation with highly water-efficient adiabatic cooling to reduce dependence on municipal water supplies while improving overall cooling efficiency. Looking ahead, the guests discuss how predictive controls, adaptive cooling strategies, and integrated water management will become increasingly important as AI infrastructure continues to scale. The result is a timely conversation about one of the industry's fastest-emerging challenges—and why water is becoming every bit as strategic to the future of AI data centers as the power that drives them.

Host Jason Pereira interviews Jean-Philippe Daunais, Chief Product Officer at ClearEstate, a platform built to act like "TurboTax for closing an estate." Inspired by a co-founder's difficult experience handling a parent's passing, the digital platform combines real human support with software to guide grieving families through the overwhelming 12-to-18-month paperwork maze—including finding hidden assets, filing court documents, and sorting out complex estate taxes.Operating across Canada and parts of the U.S., ClearEstate is designed to be affordable by charging a flat 1% fee with no minimum asset requirements. The platform is expanding its reach by introducing upgraded tools for financial advisors and conversational AI workflows, making it easier for regular people to navigate end-of-life planning and settlement without paying massive legal fees.This episode is a must-listen for anyone named an executor of a will, as well as financial planners looking for a digital tool to guide their clients through the stressful probate and estate-planning process.Episode Highlights:00:00 Welcome to Fintech Impact00:31 What ClearEstate Does00:59 Why Estate Settlement Hurts01:30 Origin Story and Insight04:31 How the Platform Works06:16 Planning and Pro Executor08:38 Pricing and Neutral Fiduciary11:34 Advisors and Family Conflict13:05 Long Tail Digital Assets14:56 Fit Limits and Expansion17:11 Future Roadmap and AI18:28 Rapid Fire Closing Questions22:56 Wrap Up and OutroResources:Facebook – Jason Pereira's FacebookLinkedIn – Jason Pereira's LinkedInWoodgate.com – SponsorClearEstateLinkedIn - Jean-Philippe's LinkedIn Hosted on Acast. See acast.com/privacy for more information.

The dominant structural shift addressed is the increasing operational dependency on Microsoft Intune for endpoint management across organizations of all sizes, which is exposing gaps between Microsoft's native capabilities and the practical needs of managed environments. This shift is creating new pressure points for service margins, as IT service providers find themselves compensating for visibility limitations and inconsistencies in Intune's deployment mechanisms. Vendors such as Recast Software have positioned themselves as companions that address these shortfalls, acknowledging that Microsoft routinely incorporates previously “companion” features into its own ecosystem. The primary evidence cited is the identified lack of comprehensive fleet visibility and inconsistent application deployment within Microsoft Intune environments. According to Recast Software's Chief Product Officer, Jake Mosey, customer feedback repeatedly points to insufficient information about device states—especially during hybrid or co-managed transitions from Microsoft Configuration Manager to Intune—and challenges with application deployment timing, patching, and third-party app management. These operational gaps create environments in which service providers must employ supplemental tools to maintain efficiency and consistency across client environments. Supporting developments include lessons learned from similar dynamics in the Apple-Jamf ecosystem, where continual vendor evolution (“Sherlocking”) forced channel vendors to focus on speed, specialization, and building direct community relationships. Jake Mosey emphasized that effective community-driven product development relies on discerning the needs of the wider user base, not just the loudest voices, and maintaining a focused strategy. The discussion also highlighted persistent fragmentation in multi-platform environments, meaning MSPs must often manage diverse device fleets with varying visibility and control requirements—a complexity heightened during prolonged hybrid migration states. Operationally, MSPs and IT leaders face practical implications including increased vendor dependency, the need for multifaceted visibility tools, and a requirement to plan for ongoing hybrid environments rather than clean migration end-states. Service providers are urged to prioritize automation where possible but must also recognize that full migration to a single endpoint platform remains impractical for many. Failure to address these gaps increases risk to client productivity and end-user satisfaction, particularly when patching, application deployment, or security controls are inconsistently applied. The expectation is that meaningful improvements will depend more on inventory and visibility capabilities than solely on automation or AI.

Yuval Refua is the Chief Product Officer at Navan, the global travel and expense platform he joined seven years ago when it was still just a travel booking service. Since then, he has built out its payments and expense products from the ground up, turning the company policy that used to live in a PDF into code that runs on the card itself. This conversation matters because T&E is one of the most universally disliked workflows in business, and Navan is rethinking it from scratch just as AI and agentic commerce start to reshape how companies spend.What We CoveredFalling in love with credit cards at American ExpressWhy Navan started as a travel-only booking serviceThe reconciliation pain that led to launching a cardCoding company policy directly onto the cardReal-time approval the moment you swipeWhy travel-first beats procurement-firstContext as the key to managing distributed spendGoing global with VAT, GST, per diems and mileageThe e-invoicing wave hitting more countriesThe GTA model for revealing complexity graduallyThe Expense Admin Companion and recommended actionsFrom single approvals to bulk to full automationThe Visa partnership and the Connect productWaymo for travelers, Formula One for financeKey TakeawaysThe expense report exists to answer a question that company policy already settled. Coding that policy onto the card removes the work instead of automating it.Starting from travel gives Navan context (where the employee is, why they are there, who they are visiting) that procurement-first tools lack, which makes per-employee limits far smarter.Going global is less about features and more about mastering country-by-country tax, e-invoicing, per diem and mileage rules.The path to full automation runs through trust. Navan moves finance teams from a single recommended action, to bulk approvals, to hands-off automation, which is also how it intends to handle agentic spend.About Yuval RefuaYuval Refua is Chief Product Officer at Navan. He started two companies of his own early in his career before moving into fintech and product management at Thomson Reuters, then American Express, where he developed a deep love for credit cards and the rails behind them. He joined Navan around seven years ago and has built out its payments and expense products from the ground up.Connect with Fintech One-on-One:Tweet me @PeterRentonConnect with me on LinkedInFind previous Fintech One-on-One episodes

In January, 95% of the code Sean Barry's team wrote was written by hand. Six months later, that number is 2%. Sean isn't predicting what AI will do to your industry — he's living it, building it, and losing sleep over it.In this conversation with Dwayne Kerrigan, Sean Barry - the Chief Product Officer of LeanScaper - shares what the AI transformation actually looks like from the inside: the grief, the identity crisis, the compounding flywheel effect, and the window that's closing faster than most people realize.In this episode:Why most small to mid-sized businesses can't implement AI on their own — and what LeanScaper is doing about it for the landscape industryThe compounding flywheel effect: why companies that embrace AI now may be uncatchable by competitors who wait six monthsThe emotional journey Sean's team went through when AI fundamentally changed their jobs overnight — and what's on the other sideWhy the most powerful AI asset in your business might already be sitting in a drawer somewhereThe one thing Sean tells every business owner who doesn't know where to startWhy the resistance to AI — in boardrooms, on campuses, and inside teams — all traces back to the same root causeStart building your identity with Dwayne's Identity Framework created for the LeanScaper Conference: https://www.dwaynekerrigan.com/identity-framework/Episode Highlights:00:00 - AI Pace Shift00:27 - Podcast Intro00:59 - Meet Sean Barry03:33 - LeanScaper Explained04:33 - DIY AI Struggle08:28 - Jobs Fear vs Abundance14:46- Human Connection Premium17:08 - Mindset, Education, and Retraining25:57 - How to Start Using AI30:36 - SOPs as Superpower36:00 - Uncatchable Flywheel43:43 - Grief and Identity Shift53:26 - What Changed Since January58:14 - New Team Workflow Rebuilt01:00:51 - Wrap Up and Stay Tuned for Next EpisodeResources mentioned:LeanScaper — AI operating system for the landscape industryLMN (Landscape Management Network) — landscape industry business management softwareMark Bradley — Chairman and founder of LeanScaperLana — LeanScaper's AI agentChatGPT — referenced as starting point for AI adoptionClaude / Anthropic — cited as the inflection point in AI coding capability that changed everything in late 2024Claude Code — referenced as coding toolCodex — referenced as AI coding resourceGitHub Copilot / Microsoft Copilot — referenced in context of AI coding historyFigma — referenced as design tool being replaced by AI-assisted codingOpenClaw agents — referenced by Dwayne as agents running in his own setupQuotes:“ Your choice is not whether or not this happens, your choice is whether it happens with you or to you, and that's the choice you get to make.” - Sean Barry“ In January, ninety-five, ninety-eight percent of the code we would write was written by hand, and today, two percent. Yeah, that's six months.” - Sean Barry“ Take next week off and stop doing your day job, and then spend forty hours learning AI and diving into ChatGPT, Codex, Claude. Figure out what you want. Dive in, there's tons of education. You just ask AI how to use it. Then the next week, that time will pay back. You will have moved yourself so far in that forty hours that you will get that time back the next week.” - Sean Barry"You'll be uncatchable by people who don't." - Sean Barry“ I think 95% of small to mid-sized businesses don't have the time nor resources to go accomplish that. So I think we're at the exciting point in what we're trying to do is, is take all that power and then do all the heavy lifting for landscape contractors so they can just turn it on and use it and not need to go figure out how to put it all together.” - Sean BarryAbout Sean Barry:Sean Barry is the Chief Product Officer at LeanScaper, an AI operating system and business community built specifically for the landscape and snow contracting industry. He brings nearly two decades of product and digital leadership experience, including almost four years at LMN (Landscape Management Network) — the landscape industry's leading business management platform — where he rose from SVP of Product to Chief Product Officer. Before entering the green industry, Sean spent 14 years at Laughlin Constable, a Milwaukee-based agency, where he built his career from Lead Engineer to SVP of Digital, Account and Innovation. He is currently at the forefront of applying AI to real-world business operations for contractors.Connect with Sean Barry: https://leanscaper.com/https://www.linkedin.com/in/sbarry/Connect with Dwayne KerriganFacebookInstagramLinked InWebsiteDisclaimer: The views, information, or opinions expressed by guests during The Dwayne Kerrigan Podcast are solely those of the individuals involved and do not necessarily represent those of Dwayne Kerrigan and his affiliates. Dwayne Kerrigan or The Dwayne Kerrigan Podcast is not responsible for and does not verify the accuracy of any of the information contained in the podcast series. The primary purpose of this podcast is to educate and inform. Listeners are advised to consult with a qualified professional or specialist before making any decisions based on the content of this podcast.

In this episode of The Product Podcast by Product School, Carlos González de Villaumbrosia sits down with Jay Choi, Chief Executive Officer at Typeform. Typeform is the AI engagement platform trusted by more than 150,000 customers, including 95% of the Fortune 500. Before Typeform, Jay spent seven years as Chief Product Officer and General Manager at Qualtrics, where the company scaled from $100M to over $1B in ARR.What you'll learn:Breadth of surface area as a stronger AI moat than depth of use case, and why going broad is the right strategic bet right nowThe dual posture Typeform built: a defensive strategy to make their core product impossible to replicate, and an offensive strategy to expand into full customer workflowsResearch Flow, their new product that compresses 50 customer interviews from weeks into hours using AI-moderated researchBeing model-agnostic from day one, and what they learned when switching models without an observability platform in placeThe pricing experiment framework Jay uses: 30 simulations before a single market goes liveKey takeaways:When AI threatens to commoditize your core product, expanding surface area is a stronger defense than adding AI features to what you already havePositioning AI capabilities in plain language, not technical terminology, is the difference between adoption and abandonmentHappy churners are a product problem, not a marketing problem: the fix is finding structurally always-on use cases.Credits:Host: Carlos Gonzalez de VillaumbrosiaGuest: Jay ChoiSocial Links:Find out more about Product School hereFollow our Podcast on TikTok hereFollow Product School on LinkedIn here

Recorded live at #mtpcon London, Lily sits down with Emily Tate — former MD of Mind the Product for a broad debrief on the day's themes. They cover why product and design may matter more in an AI world than ever before, how heritage organisations can navigate transformation without the luxury of greenfield conditions, and what it actually takes to get internal stakeholders on side. Emily also makes a case for why SaaS isn't dead, why positioning fundamentals haven't changed despite the AI frenzy, and why remote work is draining the fun out of product teams.Chapters0:00 — Intro1:00 — The state of AI in product: still an inflection point3:18 — AI is a technology, not a moat4:57 — Keeping the humanity in product work6:13 — Advice for PMs new to the industry8:38 — Why conferences need both practical and inspirational talks10:24 — How to start speaking: find your local ProductTank13:46 — You don't need a novel idea to give a great talk16:01 — Charity Ibhadon's talk: product is hard, but it should be fun16:19 — Remote work and the slow erosion of joy at work19:15 — Innovating inside heritage organisations21:39 — Stop trying to educate stakeholders about product24:06 — April Dunford on positioning: what AI changes, and what it doesn't27:00 — The SaaS-pocalypse myth28:47 — Predictions: 12–18 more months of heavy AI talk30:59 — Filtering signal from noise: where Emily reads31:40 — Eric Ries' Incorruptible and building companies that resist corruptionKey takeawaysIf your only moat is AI, you don't have a moat. AI is a capability, not a product. The question is how you're using it to serve customers better than you could before — not whether you're using it at all.Building is no longer the bottleneck — deciding what to build is. That shift makes strong product and design thinking more important, not less.Stop trying to teach stakeholders about product. Drop the methodology, use their language, show them something tangible, and bring them along in ways that make sense to them — not to you.SaaS has a defensible edge. Products built on experience across hundreds of customers carry knowledge that a single company building its own solution can't replicate. That's a positioning story worth telling.Positioning fundamentals haven't changed. Sprinkling AI on your messaging doesn't sharpen it. Outside of tech, leading with AI can actively damage trust.You don't need a novel idea to give a great talk. Your version of a familiar concept might be the one that finally makes it click for someone. Start at a local ProductTank.Don't try to be someone else on stage. Find your style by doing it. Authenticity beats borrowed charisma.Remote work is eroding team joy in ways we're not measuring. The informal moments that build relationships and make work fun don't happen on Slack or in back-to-back video calls — and the resulting friction is real.Featured links  Incorruptible by Eric Ries — https://www.penguin.co.uk/books/460881/incorruptible-by-ries-eric/9780241692028The Decision Stack by Martin Eriksson — thedecisionstack.comChristian Idiodi — Silicon Valley Product GroupApril Dunford — aprildunford.comFind your local ProductTank — producttank.comMind the Product — mindtheproduct.comOur HostsLily Smith enjoys working as a consultant product manager with early-stage and growing startups and as a mentor to other product managers. She's currently Chief Product Officer at BBC Maestro, and has spent 13 years in the tech industry working with startups in the SaaS and mobile space. She's worked on a diverse range of products – leading the product teams through discovery, prototyping, testing and delivery. Lily also founded ProductTank Bristol and runs ProductCamp in Bristol and Bath.Randy Silver is a Leadership & Product Coach and Consultant. He gets teams unstuck, helping you to supercharge your results. Randy's held interim CPO and Leadership roles at scale-ups and SMEs, advised start-ups, and been Head of Product at HSBC and Sainsbury's. He participated in Silicon Valley Product Group's Coaching the Coaches forum, and speaks frequently at conferences and events. You can join one of communities he runs for CPOs (CPO Circles), Product Managers (Product In the {A}ether) and Product Coaches. He's the author of What Do We Do Now? A Product Manager's Guide to Strategy in the Time of COVID-19. A recovering music journalist and editor, Randy also launched Amazon's music stores in the US & UK.

Send us Fan MailA ninth inning ballpark burger. Days of relentless diarrhea. Then blood. John Capodilupo's ulcerative colitis diagnosis didn't arrive slowly, it hit like a truck, and it sent him into a crash course on what living with IBD really demands. We talk through the early fear and uncertainty, the 28-day hospitalization, and the chaos of juggling treatment while also battling infections like C. difficile and CMV colitis. John also shares his experience with fecal microbiota transplant (FMT) for recurrent C. diff and why the microbiome still feels like one of the biggest unsolved stories in gut health.From there, we connect the dots between health data and better decisions. John helped build Whoop, the wearable built around continuous physiological tracking like heart rate variability and sleep, and he explains what longitudinal data can reveal about stress, recovery, and early warning signs. We dig into how sleep disruption and subtle body signals can show up before you're sure whether you're flaring or just paying the price for Taco Bell.Then we get into Throne, the smart toilet monitoring system John now co-leads as Chief Product Officer. Throne clips onto the toilet and uses computer vision and sensors to track stool and urine trends passively, aiming to reduce guesswork, improve symptom recall, and open the door to research like flare prediction, medication durability, and future screening signals such as blood detection for colon cancer. We also cover the “real life” questions: multi-user households, cleaning, cost, and a privacy approach built around de-identified data and opt-in research.If you're curious about ulcerative colitis, Crohn's, IBD tracking, gut health technology, or the future of smart toilets, listen now then subscribe, share with a friend, and leave a review.Links: Throne's websiteFun article about the founding of ThroneBuy Throne for $50 off!  or use code ListenToYourGutLet's get social!!Follow us on Instagram!Follow us on Facebook!Follow us on Twitter!

Tomer London is the co-founder and Chief Product Officer of Gusto, the payroll, HR, and benefits platform that serves hundreds of thousands of small businesses across the United States. Originally from Haifa, Israel, Tomer grew up helping in his family's small business, an experience that shaped his passion for entrepreneurship and supporting small business owners. With degrees in computer engineering and electrical engineering from the Technion and Stanford, respectively, Tomer combined his love of technology with a deep appreciation for small businesses to help build Gusto into a company generating more than $1 billion in annual revenue. On this episode we talk about: How Tomer earned his first entrepreneurial income creating 3D animations as a teenager Why curiosity and tinkering with technology can create lifelong opportunities The differences between product management, engineering, and building technology companies How Gusto grew by focusing on customer love rather than traditional sales tactics Lessons learned from a failed startup before building a billion-dollar business Top 3 Takeaways The most important activities for an early-stage startup are building a product people love and talking to customers relentlessly. Customer referrals become the most powerful growth engine when you create an experience that people genuinely enjoy using. When hiring, prioritize humility, adaptability, and a growth mindset over impressive resumes or technical credentials alone. Notable Quotes "Build your product and talk with customers. Everything else is a distraction." "They're paying me to learn how to do this? That's amazing." "Hire for humility, growth mindset, and the ability to get feedback." Connect with Tomer London: X: https://x.com/tomerlondon Company: https://gusto.com A Word from Our Sponsors: - Are you ready to start your own creatorjourney and make it big? Visitwww.fanvue.com today and launch yourcareer! - To learn more about Mode Mobile and its investor community, go to  https://invest.modemobile.com/travismakesmoney -Travis Makes Money is made possible by High Level – the All-In-One Sales & Marketing Platform built for agencies, by an agency.Capture leads, nurture them, and close more deals—all from one powerful platform.Get an extended free trial at gohighlevel.com/travis Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode, ⁠Adam Torres⁠ interviews ⁠David Tobias⁠, Chief Product Officer at Nearmap. David shares insights on aerial imagery, property intelligence, and the growing role of AI in insurance. He also discusses how Nearmap's technology helps organizations improve underwriting, accelerate claims decisions, and respond more effectively during natural disasters. Follow Adam on Instagram at ⁠https://www.instagram.com/askadamtorres/⁠ for up to date information on book releases and tour schedule. Apply to be a guest on our podcast: ⁠https://missionmatters.lpages.co/podcastguest/⁠ Visit our website: ⁠https://missionmatters.com/⁠ More FREE content from Mission Matters here: ⁠https://linktr.ee/missionmattersmedia⁠ Learn more about your ad choices. Visit podcastchoices.com/adchoices

In this episode, Adam Torres interviews David Tobias, Chief Product Officer at Nearmap. David shares insights on aerial imagery, property intelligence, and the growing role of AI in insurance. He also discusses how Nearmap's technology helps organizations improve underwriting, accelerate claims decisions, and respond more effectively during natural disasters. Follow Adam on Instagram at https://www.instagram.com/askadamtorres/ for up to date information on book releases and tour schedule. Apply to be a guest on our podcast: https://missionmatters.lpages.co/podcastguest/ Visit our website: https://missionmatters.com/ More FREE content from Mission Matters here: https://linktr.ee/missionmattersmedia Learn more about your ad choices. Visit podcastchoices.com/adchoices

Lindsey Jayne is an independent product adviser and coach, and former chief product officer at the Financial Times. She began her career at the Government Digital Service, where she stumbled into product management by chasing someone down a corridor holding a MacBook that actually worked. What followed was 15 years moving through startups, scaleups, and ultimately one of Britain's most storied media institutions.Chapters00:00 — Introduction01:08 — Lindsey's origin story: from a broken government laptop to product management02:48 — Why product managers burn out: accountability without authority05:34 — Influencing stakeholders using discovery skills07:19 — What leaders can do to clear the way for their product teams08:44 — Stakeholder mapping: the influence and interest framework09:41 — Recognising burnout signals in your team at scale11:16 — Balancing passion and sustainability: when enthusiasm becomes a pattern14:16 — When to transition from individual contributor to product leader16:24 — Product reviews and cross-team knowledge sharing18:42 — How to communicate effectively with senior stakeholders20:40 — Career-defining advice: you don't have to die on every hill21:43 — Half your job is landing the product, not just building it22:25 — The most common mistake junior product managers make24:05 — How to tell your story after a difficult or toxic company exitOur HostsLily Smith enjoys working as a consultant product manager with early-stage and growing startups and as a mentor to other product managers. She's currently Chief Product Officer at BBC Maestro, and has spent 13 years in the tech industry working with startups in the SaaS and mobile space. She's worked on a diverse range of products – leading the product teams through discovery, prototyping, testing and delivery. Lily also founded ProductTank Bristol and runs ProductCamp in Bristol and Bath.Randy Silver is a Leadership & Product Coach and Consultant. He gets teams unstuck, helping you to supercharge your results. Randy's held interim CPO and Leadership roles at scale-ups and SMEs, advised start-ups, and been Head of Product at HSBC and Sainsbury's. He participated in Silicon Valley Product Group's Coaching the Coaches forum, and speaks frequently at conferences and events. You can join one of communities he runs for CPOs (CPO Circles), Product Managers (Product In the {A}ether) and Product Coaches. He's the author of What Do We Do Now? A Product Manager's Guide to Strategy in the Time of COVID-19. A recovering music journalist and editor, Randy also launched Amazon's music stores in the US & UK.

Only a few hours after Apple's WWDC keynote, members of the   MacPaw leadership team sat down for a conversation about Apple Intelligence, and Siri's renewed promise. Topics touched on included privacy, developer access to user context, hybrid AI processing, Setapp's role, and how AI is reshaping app creation, customer support, and software strategy. Participants included Oleksandr Kosovan, Founder and CEO​, Sergii Kryvoblotskyi, Director of AI and Research, Dmytro Melnyk, Chief Product Officer and Grant Belaire, Chief Marketing Officer. Show Notes: Chapters: 00:01 Opening and setup for the post-keynote discussion02:33 Panel introduction from the Flip the Script event06:17 First reactions to the WWDC keynote07:45 Siri, Apple Intelligence, and renewed expectations09:05 Personal context as the next software frontier11:16 Developer access to Apple-controlled user data13:12 Trust, privacy, and the limits of Apple's ecosystem18:16 Protecting shared context across Setapp developers21:41 MacPaw's AI-first company transformation24:24 Using AI to process customer feedback and support26:43 Vibe coding, Claude Code, and changing developer roles31:17 Customer pushback against AI in applications35:22 On-device, cloud, and hybrid AI processing39:20 Regional limits, regulation, and global availability44:23 Child protection features and internet safety46:49 Comparing Apple Intelligence with ChatGPT, Claude, and Perplexity51:31 Google's role and Apple's AI partnerships58:26 Where to learn more about MacPaw and Setapp59:48 Conversation with Grant Belair after the keynote1:01:34 What Apple's announcements mean for developers1:04:12 Why developers should consider MacPaw and Setapp1:06:40 MacPaw's brand challenge beyond CleanMyMac1:08:24 Trust, credibility, and long-term responsibility1:09:59 Closing notes and credits Links: MacPaw Setapp Guests: Oleksandr Kosovan, Founder and CEO​Sergii Kryvoblotskyi, Director of AI and ResearchDmytro Melnyk, Chief Product OfficerGrant Belaire, Chief Marketing Officer Support:      Become a MacVoices Patron on Patreon     http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect:      Web:     http://macvoices.com      Twitter:     http://www.twitter.com/chuckjoiner     http://www.twitter.com/macvoices      Mastodon:     https://mastodon.cloud/@chuckjoiner      Facebook:     http://www.facebook.com/chuck.joiner      MacVoices Page on Facebook:     http://www.facebook.com/macvoices/      MacVoices Group on Facebook:     http://www.facebook.com/groups/macvoice      LinkedIn:     https://www.linkedin.com/in/chuckjoiner/      Instagram:     https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes     Video in iTunes      Subscribe manually via iTunes or any podcatcher:      Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss

Only a few hours after Apple's WWDC keynote, members of the   MacPaw leadership team sat down for a conversation about Apple Intelligence, and Siri's renewed promise. Topics touched on included privacy, developer access to user context, hybrid AI processing, Setapp's role, and how AI is reshaping app creation, customer support, and software strategy. Participants included Oleksandr Kosovan, Founder and CEO​, Sergii Kryvoblotskyi, Director of AI and Research, Dmytro Melnyk, Chief Product Officer and Grant Belaire, Chief Marketing Officer. Show Notes: Chapters: 00:01 Opening and setup for the post-keynote discussion 02:33 Panel introduction from the Flip the Script event 06:17 First reactions to the WWDC keynote 07:45 Siri, Apple Intelligence, and renewed expectations 09:05 Personal context as the next software frontier 11:16 Developer access to Apple-controlled user data 13:12 Trust, privacy, and the limits of Apple's ecosystem 18:16 Protecting shared context across Setapp developers 21:41 MacPaw's AI-first company transformation 24:24 Using AI to process customer feedback and support 26:43 Vibe coding, Claude Code, and changing developer roles 31:17 Customer pushback against AI in applications 35:22 On-device, cloud, and hybrid AI processing 39:20 Regional limits, regulation, and global availability 44:23 Child protection features and internet safety 46:49 Comparing Apple Intelligence with ChatGPT, Claude, and Perplexity 51:31 Google's role and Apple's AI partnerships 58:26 Where to learn more about MacPaw and Setapp 59:48 Conversation with Grant Belair after the keynote 1:01:34 What Apple's announcements mean for developers 1:04:12 Why developers should consider MacPaw and Setapp 1:06:40 MacPaw's brand challenge beyond CleanMyMac 1:08:24 Trust, credibility, and long-term responsibility 1:09:59 Closing notes and credits Links: MacPaw Setapp Guests: Oleksandr Kosovan, Founder and CEO ​Sergii Kryvoblotskyi, Director of AI and Research Dmytro Melnyk, Chief Product Officer Grant Belaire, Chief Marketing Officer Support:      Become a MacVoices Patron on Patreon      http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect:      Web:      http://macvoices.com      Twitter:      http://www.twitter.com/chuckjoiner      http://www.twitter.com/macvoices      Mastodon:      https://mastodon.cloud/@chuckjoiner      Facebook:      http://www.facebook.com/chuck.joiner      MacVoices Page on Facebook:      http://www.facebook.com/macvoices/      MacVoices Group on Facebook:      http://www.facebook.com/groups/macvoice      LinkedIn:      https://www.linkedin.com/in/chuckjoiner/      Instagram:      https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes      Video in iTunes      Subscribe manually via iTunes or any podcatcher:      Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss

From the Flip the Script event in San Francisco, Dmytro Melnyk, Chief Product Officer for MacPaw, discusses his role and the importance of the company's careful approach to adding AI across products, from both the developer and customer viewpoints.. He explains why some users want frictionless AI while others resist it over privacy, cost, and complexity, and outlines Eney's goal of combining many Mac utility tasks into one assistant with a pay-as-you-go model.  Show Notes: Chapters: 00:12 Introduction from Flip the Script in San Francisco 00:19 Introducing Dmytro and his role at MacPaw 00:28 From product manager to Chief Product Officer 00:48 Using AI to improve products and user experiences 01:10 Understanding CleanMyMac users and AI adoption 01:30 Teaching users through frictionless access to AI 02:17 Different customer attitudes toward AI features 02:54 When products should remain conventional 03:20 Making new products AI-native for cautious users 03:40 Apple's approach to integrated AI 04:26 Educating users about small AI-assisted features 04:54 Helping users make better choices without taking control 05:49 When AI should stay invisible to the user 06:09 Customers who prefer products without AI 06:26 Privacy, data concerns, and added AI costs 06:55 Eney from a product management perspective 07:13 Why AI is central to MacPaw's future 07:36 CleanMyMac, Gemini, and the move toward Eney 08:19 Business model questions around consolidation 08:36 Pay-as-you-go tokens versus purchases and subscriptions 09:28 Early monetization options for Eney 10:12 MacPaw's advantage with an existing customer base 10:50 Customer acquisition challenges for new AI products 11:26 The broader software market's monetization problem 11:48 Finding product-market fit and retaining customers 12:11 Competing in an overcrowded AI application market 12:25 Closing comments and outro Links:   MacPaw Setapp Support: Become a MacVoices Patron on Patreon      http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect: Web:      http://macvoices.com Twitter: http://www.twitter.com/chuckjoiner      http://www.twitter.com/macvoices Mastodon:      https://mastodon.cloud/@chuckjoiner Facebook:      http://www.facebook.com/chuck.joiner MacVoices Page on Facebook:      http://www.facebook.com/macvoices/ MacVoices Group on Facebook:      http://www.facebook.com/groups/macvoice LinkedIn:      https://www.linkedin.com/in/chuckjoiner/ Instagram:      https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes      Video in iTunes      Subscribe manually via iTunes or any podcatcher: Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss

Some of the best conversations start at a dinner table.Last September, host Langston Clark welcomed product leaders and authors Oji and Ezinne Udezue into his San Antonio home for an intimate gathering. One of the guests that evening was Elisa Cuellar — a listener, entrepreneur, and founder of StorieCue — who walked away from that dinner inspired to stop sitting on her own big idea. That night lit a spark. This episode is the recorded continuation of that conversation.Oji, a former Chief Product Officer at Twitter, Calendly, and Atlassian, and managing partner of the Kernel Fund, and Ezinne, who has driven enterprise transformation at T-Mobile, Discovery Communications, Procore, and WP Engine, are the co-authors of Building Rocketships: Product Management for High Growth Companies. Together, they walk us through what separates builders who scale from those who stall — and why the fundamentals of product thinking matter now more than ever. With Elisa serving as guest co-host, the trio explores customer listening, the Shipyard Model of innovation, AI's role in product development, and what it means to build rocket ships when the infrastructure — and the capital — looks completely different than Silicon Valley. Whether you're a solo founder, a product leader, or someone who knows they have a rocket ship inside of them and just hasn't launched yet — this episode is for you. Topics covered: product management, startup growth strategy, AI tools for founders, customer listening, Shipyard Model, Kernel Fund, innovation in Africa, venture capital in emerging markets, product-market fit, Black tech leadership, entrepreneurship.Support the showhttps://www.patreon.com/c/EA_BookClub

Google faces liability for AI-generated claims. Washington pauses public AI model assessments. Anthropic ships a safer AI model. OpenAI disrupts influence operations. Ransomware operators get a powerful new backdoor. Urgent patches land for Ivanti and Veeam. PyPI supply chain attacks evolve. And a massive data breach triggers a record fine in South Korea. Our guest is Peter Barker, Chief Product Officer at Ping Identity, sharing how identity increasingly becomes the control plane for how work gets done. AI analyzes the FIFA World cup, one cliché at a time.  Remember to leave us a 5-star rating and review in your favorite podcast app. Miss an episode? Sign-up for our daily intelligence roundup, Daily Briefing, and you'll never miss a beat. And be sure to follow CyberWire Daily on LinkedIn. CyberWire Guest On today's Industry Voices, we are joined by Peter Barker, Chief Product Officer at Ping Identity, sharing how identity increasingly becomes the control plane for how work gets done across humans, automation, and AI agents. You can read more from Ping Identity here. If you enjoyed this conversation, be sure to check out the full interview here. Selected Reading Landmark German ruling declares Google's AI Overviews are Google's own words and makes it liable for false answers (The Decoder) White House Reins In AI-Testing Unit as National-Security Concerns Grow (Wall Street Journal) Anthropic Releases ‘Safe' Version of Its Mythos A.I. Technology (The New York Times) PRC-linked influence operations are targeting AI debates in the US (OpenAI) Technical Analysis of MLTBackdoor (ThreatLabz) CVE-2026-10520, CVE-2026-10523 - Multiple critical vulnerabilities affecting Ivanti Sentry (Rapid7) Mini Shai-Hulud, Miasma, and Hades Worms Target Bioinformatics and MCP Developers via Malicious PyPI Wheels (Socket) Veeam Patches Critical RCE Vulnerability in Backup & Replication published: yesterday (Beyond Machines) ‘Amazon.com of South Korea' Is Fined a Record $409 Million (The New York Times) The 2026 big soccer tournament, in clichés. (Sinch) Share your feedback. What do you think about CyberWire Daily? Please take a few minutes to share your thoughts with us by completing our brief listener survey. Thank you for helping us continue to improve our show. Want to hear your company in the show? N2K CyberWire helps you reach the industry's most influential leaders and operators, while building visibility, authority, and connectivity across the cybersecurity community. Learn more at sponsor.thecyberwire.com. The CyberWire is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc. Learn more about your ad choices. Visit megaphone.fm/adchoices

Days after ChatGPT launched, Intercom called it an “iPhone moment" and bet a $300 million ARR business that AI was the future of customer service. On this episode of Onward, Ben talks with Paul Adams, Chief Product Officer of Fin (formerly Intercom), about the pivot to AI customer service: why the decision was easier than you might think, why the culture change was brutal, and how the bet ended up strengthening the legacy business instead of killing it. Since Fundrise runs its own investor relations program on Fin, the episode doubles as a customer interview. They get into AI's effect on knowledge work, the risk of letting an agent write to a database, Claude Code as "magic," and why Paul calls himself a "delusional optimist" about what comes next.— For a deeper dive into these insights and more, be sure to listen to the full episode of the Onward podcast.Have questions or feedback about this episode? Drop us a note at Onward@Fundrise.com.Onward is hosted by Ben Miller, Co-Founder and CEO of Fundrise. Podcast production by The Podcast Consultant. Music by Seaplane Armada.About Fundrise:With over 2 million users, Fundrise is America's largest direct-to-investor alternative asset investment platform. Since 2012, our mission has been to build a better financial system by empowering the individual. We make it easier and more efficient than ever for anyone to invest in institutional-quality private alternative assets — all at the touch of a button.Please see fundrise.com/oc for more information on all of the Fundrise-sponsored investment funds and products, including each fund's offering document(s).Want to see the specific assets that make up and power Fundrise portfolios? Check out our active and past projects at www.fundrise.com/assets.More Info & DisclaimersThere are no guarantees investment holdings of the Fundrise Innovation Fund (the "Fund") will be successful.Investing in the Fund is speculative and involves substantial risks. You should purchase shares of the Fund only if you can afford a complete loss of your investment. Nothing in this material should be construed as tax advice, an offer, recommendation, or solicitation to buy or sell any security.Past performance does not guarantee future results. Current and future holdings are subject to risk, and returns of one portfolio company are not indicative of an investment in the Fund. For Fund performance and the most recent schedule of investments, visit GetVCX.com. The Fund's annual and semi-annual reports (Form N-CSR), quarterly portfolio holdings (Form N-PORT), and other periodic reports filed with the Securities and Exchange Commission are available on EDGAR at sec.gov and at GetVCX.com.The Innovation Fund is publicly registered under the Investment Company Act of 1940 as a non-diversified, closed-end management investment company.The Fund's portfolio will be concentrated in securities issued by technology companies and other investments that provide economic exposure to technology companies and as such, it may be subject to more risks than if it were broadly diversified across additional sectors and industries of the economy. Certain technology companies may face special risks that their products or services may not prove to be commercially successful. Technology companies are also strongly affected by worldwide scientific or technological developments, and as a result, their products may rapidly become obsolete.The Fund's investments in companies involved in, or exposed to, artificial intelligence-related businesses may be negatively impacted because of, among other things, limited product lines, markets, financial resources and/or personnel; intense competition and potentially rapid product obsolescence these companies may face; loss or impairment of intellectual property rights; and the inability to successfully develop products or services even after spending significant amount of resources.The Fund's investment in private company securities, whether made directly or indirectly (e.g., through derivatives or private pooled investment vehicles) are generally illiquid. Because private company securities are thinly traded, such securities may display especially volatile or erratic price movements, sometimes in response to relatively small changes in investor supply or demand or other market conditions.