Podcasts about CPO

Tap into a network of bold thinkers and industry leaders by sponsoring the Unlearn Podcast.Contact here: https://bit.ly/contact-barryoreilly____________________________________________________________Today on the Unlearn Podcast, I'm thrilled to be joined by Francesca Cortesi, CPO and Founder of Prodotto Collective, a product visionary, transformational leader, and someone who truly understands what it takes to build beloved products and high-performing teams.Francesca was the Chief Product Officer at Hemnet, Sweden's leading property platform, where she played a pivotal role in scaling the product organization and driving the company through a successful IPO in 2021. Under her leadership, Hemnet achieved consistent double-digit growth, became one of Sweden's most appreciated apps, and stood out as a top performer on the Swedish stock exchange.But her story goes far beyond business metrics. Francesca led cultural shifts too, transitioning the company language to English and increasing female representation in tech, proving that growth and inclusion can go hand in hand.In this episode, we explore how Francesca thinks about unlearning as a tool for personal and organizational growth, building product excellence at scale, and creating environments where diverse teams thrive.Key Takeaways:Changing careers: Francesca switched from fashion in Milan to tech in Sweden after many rejections, showing strong resilience.Product Management: Asking many questions helped her shift from project management to product management.Asking for Help: Great leaders don't need to know everything; asking for help builds stronger teams.Idea company size: Francesca thrives best in scale-up companies (40–400 people), not large corporations.Unlearning and Growth: Every new role required Francesca to "unlearn" old ways to adapt to new challenges.Additional Insights:Changing Roles: Your job changes when your company grows, so be ready for change.Know your strength: Understand clearly what you're good at and where you fit best.Start Fresh: Always approach new tasks like you're learning for the first time.Get ready for a powerful conversation with Francesca Cortesi on embracing change, scaling with intention, and building inclusive, high-performing product teams that thrive through continuous unlearning and growth.Episode Highlights: [01:00] - Episode Recap "Welcome to the Unlearn Podcast, Exploring career shifts, new leadership styles, and how to build strong product teams."[02:03] - Guest Introduction: Francesca Cortesi "Francesca, former Chief Product Officer at Hemnet, helped scale the product and led the company to a successful 2021 IPO."[03:22] - From Milan Fashion to Stockholm: The First Career Pivot "I worked in fashion, got a translator job in Sweden, and decided to move."[07:10] - Facing Rejection and Redefining Identity "I tried returning to fashion, but it wasn't working, time to move on."[10:13] - Discovering Product Management Through Curiosity and Questioning "I kept asking questions, turns out, that curiosity led me into product management."[15:20] - What Francesca Had to Unlearn"As a product manager, I had to leave behind what worked before, it's always contextual."[19:56] - Transition from Individual Contributor to Product Leader "My first leadership role taught me to stop copying others and

This week on the podcast, we're joined by Dave Killeen, VP of Product at Pendo, who shares his go-to AI tools that can help make life a little easier for product managers—tried, tested, and ready to use.Featured Links: Follow Dave on LinkedIn | Pendo | Claude | Manus |'What we learned at #mtpcon London 2025' feature by Kent McDonald and Louron PrattOur 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.

Robert Bendetti shares expert insights on how CFO-CPO collaboration is reshaping workforce planning and performance management. In this episode, he dives into how aligning finance and HR through incentive compensation management drives smarter decision-making, stronger talent retention, and improved business outcomes. Discover how data-driven planning, transparent incentive structures, and cross-functional leadership can foster agile, high-performing teams. Take 5 seconds and sign up for my free newsletter:https://www.cpoplaybook.com/newsletter. You'll get a short email from me with exclusive insights, expert tips, and actionable advice from top business leaders on how to transform your people strategy, and more. SHOW INSIGHTS: https://www.cpoplaybook.com/podcast/cfo-cpo-workforce-incentive-plan CONTACT US: Share feedback: https://forms.gle/jBoWh8RmLph5Lo3H7 Sponsor us: https://forms.gle/d8Cb3hMM6LQ4cQdL8 Executive coaching or consulting services: https://www.cpoplaybook.com/contact-us Request Felicia as a Speaker: https://forms.gle/KaGQBtAzTv9tCYcM7 SUBSCRIBE: https://www.youtube.com/@feliciashakiba?sub_confirmation=1 ABOUT FELICIA SHAKIBA: Felicia Shakiba, CEO and Podcast Host at CPO PLAYBOOK, is an executive coach with over 20 years in people strategy, impacting over 200,000 employees globally. She is a Harvard Business Review Council Member, Studied at Stanford Graduate School of Business, and advises organizations in tech, healthcare, life sciences, finance, and more. Her podcast is a top ranking show worldwide. PODCAST LINKS: Website: https://www.cpoplaybook.com/podcast Apple Podcasts: https://podcasts.apple.com/us/podcast/cpo-playbook-with-felicia-shakiba/id1692423879 Spotify: https://open.spotify.com/show/1wTqXXnFfD6vWaitS8iYBe RSS: https://feeds.megaphone.fm/cpoplaybook Podcast Playlist:  https://www.youtube.com/playlist?list=PL0TewOJ3vwWFnPO_6cPX-EvNgYbn4cQXz CONNECT WITH FELICIA SHAKIBA: LinkedIn: https://www.linkedin.com/in/feliciashakiba YouTube: https://www.youtube.com/@feliciashakiba X: https://x.com/FeliciaShakiba Instagram: https://www.instagram.com/feliciashakiba/ TikTok: https://www.tiktok.com/@feliciashakiba Facebook: https://www.facebook.com/cpoplaybook

“Transformation is not just about how it's going to impact procurement, but about how it's going to impact the entire enterprise through the efforts that will be happening within the procurement function.” - Natasha Gurevich, Founder & CEO, Candor Procurement Going through procurement transformation without the right approach in place and without support from the business is a bit like sailing into a storm… with a blindfolded crew. Your chances of making it to the other side in better shape than you started are slim to none.  In this Art of Procurement podcast episode, co-hosts Philip Ideson and Kelly Barner speak with returning AOP guest Natasha Gurevich. Natasha is a former CPO of Nike and Salesforce, and she is currently the Founder and CEO at Candor Procurement.  This wealth of procurement leadership makes Natasha the perfect mainstage guest at Art of Procurement's upcoming live, in-person event – Catalyst LA – taking place on May 6, 2025, in Los Angeles, California. In this episode, Natasha explains why Catalyst LA promises to be one of the most unique and value-generating procurement events she's ever attended and what attendees can expect to take away from the event.  Natasha also discusses: The difference between business-as-usual changes and full-scale transformation, and why transformation is such an urgent priority for so many procurement teams this year How CPOs and CFOs look at transformation differently, including ways to bridge that perception gap Why rethinking the current operating model is top of mind for most procurement leaders right now, and what Catalyst LA can do to help Links: Catalyst LA - May 6, 2025 Subscribe to This Week in Procurement Subscribe to Art of Procurement on YouTube Leading Through Change with Former Fortune 100 CPO Natasha Gurevich Natasha Gurevich on LinkedIn

Today we are taking a look at the difference between DPO and CPO roles in the US, the present and future impact of Privacy Tech in the management of privacy programs, the evolution of privacy regulation under the new US administration, and a potential Schrems III scenario.  Andy Dale serves as General Counsel and Chief Privacy Officer at OpenAP and holds the position of Executive Board Member at The L Suite (TechGC). With extensive experience as an advisor to various companies, Andy previously worked as General Counsel and Chief Privacy Officer at Alyce, a company acquired by Sendoso in 2024, and as General Counsel and VP of Global Data Privacy at SessionM, which was acquired by Mastercard in 2019. Andy Dale earned a JD in Law from the University of Baltimore School of Law (2003-2006) and a degree from Colgate University (1996-2000). References:  Andy Dale on LinkedIn The Data Protection Breakfast Club podcast on Spotify Brian Focht: Can the American Privacy Rights Act find a path to survival? (Masters of Privacy) Amy Worley on the American Privacy Rights Act (Masters of Privacy) Molly Martinson on state-level comprehensive privacy laws (Masters of Privacy)

Send us a textOn this week of Serious Privacy, Paul Breitbarth , Ralph O'Brien of Reinbo Consulting, and Dr. K Royal talk about the controversy with executive changes to the U.S. Federal Trade Commission #FTC, the UK #adequacy extension, and the Norwegian decision about Data Protection Officer #DPO conflicts of interest.Please subscribe in your favorite podcast app - sharing is caring!  Powered by TrustArcSeamlessly manage your privacy program, assess risks, and stay up to date on laws across the globe.With TrustArc's Privacy Studio and Governance Suite, you can automate cookie compliance, streamline data subject rights, and centralize your privacy tasks—all while reducing compliance costs. Visit TrustArc.com/serious-privacy.If you have comments or questions, find us on LinkedIn and Instagram @seriousprivacy, and on BlueSky under @seriousprivacy.eu, @europaulb.seriousprivacy.eu, @heartofprivacy.bsky.app and @igrobrien.seriousprivacy.eu, and email podcast@seriousprivacy.eu. Rate and Review us! From Season 6, our episodes are edited by Fey O'Brien. Our intro and exit music is Channel Intro 24 by Sascha Ende, licensed under CC BY 4.0. with the voiceover by Tim Foley.

"To be able to provide more data faster, we need to rely on generation. In order to progress a project and know what's going to be built, you need floor plans." - Jesper on why floor plan generation matters.In today's episode of the Future of Design Series from the Bricks and Bytes, we had Jesper, co-founder and CPO of Finch, sharing insights on construction tech and the evolution from architect to tech founder. His journey from running an architecture firm to building a tool that generates floor plans 13x faster is fascinating!Tune in to find out about:✅ How a viral Grasshopper prototype led to a waiting list of 80,000 professionals✅ Why interoperability between design tools is crucial for the AEC industry✅ The importance of creating "compliant" floor plans that meet regional regulations✅ Why Jesper believes the future of design stack will be a fragmented market with best-in-class toolsListen to the full episode on Spotify to learn how Finch is transforming architectural workflows and why focus is the most valuable advice for construction tech founders.Download the Future of Design report here: https://bricks-bytes.com/downloads/------------Chapters00:00 Intro06:25 From Architecture to Tech: Jesper's Journey09:22 The Birth of Finch: Addressing Industry Frustrations12:20 Innovating Design: The Unique Features of Finch15:29 Compliance in Design: Ensuring Regulatory Adherence18:30 The Future of Finch: Focus and Interoperability21:36 Understanding the Market Need: Why Floor Plans Matter24:18 Client Success Stories: Efficiency and Time Savings27:33 Defensibility and Competition: Standing Out in the Market30:15 Interoperability Challenges: Seamless Integration with Existing Tools33:13 Emerging Tools in Architecture and Design36:07 Understanding Finch's Target Audience38:45 Go-to-Market Strategies and Lessons Learned39:58 Team Structure and Development Focus42:59 Funding and Financial Strategy47:28 Future of Design Tools in Construction

Kenmore is Home Electricity Made Easy - Modernize the Smart Home from Appliances to the Electric Grid – Revisited w/ CEO Sri Solur   - AZ TRT S06 EP04 (265) 2-23-2025          What We Learned This Week ·         Kenmore is home electricity made easy.  Kenmore is on a mission to modernize the home. Live More & Live Better. Also need to make it Affordable. ·         Clean Tech goes w/ the smart home, smart appliances (that connect to the home) and the electrical power grid for better living Electrical Grid needs to be modernized – cannot handle the current & future power demands ·         Homes built Pre-1990 run on Electric Panels that are outdated – costs of $40K + to modernize to handle charging EVs at home ·         Design of the Future House would have a Battery in it that could recharge your appliances and electronics during down hours. ·         Solving problems in electricity and energy also have the same issues with working on better water and clean food. It is more than just an energy and electric issue.     Guest: Sri Solur, CEO, Kenmore / Brands  https://www.linkedin.com/in/solur https://www.kenmore.com/   Sri Solur is chief executive officer of brands for Kenmore at Transformco. An industry veteran with 25+ years of experience, Sri has a rich history of success leading high tech products and businesses. He previously served as CPO and GM at Berkshire Grey, a leader in industrial robotics, and was a member of the leadership team that took the company public. Sri also served as CPO at SharkNinja, and was instrumental in bringing the Shark IQ Robot vacuum and NinjaFoodi products to market, while also holding a leadership role to take the company public. Sri spent 20 years at Hewlett Packard, serving as founder and CPO of CloudPrint, the company's wearables and IOT business. In his career, Sri has created products for world-renowned brands including Hugo Boss, Movado, Ferrari, Juicy Couture, and more. Sri holds a bachelor's degree in Engineering from NIT and an MBA from Boston University.         As Earth Day approaches (April), Kenmore is empowering greener homes and people.    The trusted appliance maker recently unveiled a new “Home Electrification Made Easy” program that looks to simplify the electrification process and reduce overall costs in transitioning to electric appliances.    Kenmore has set an ambitious goal with the program to electrify one million homes that will ultimately save homeowners one billion dollars over the next decade.    Kenmore's innovation and energy programs are driving a new generation of electrification for today's home ecosystem. Some of the company's core innovations include:    Expansion of electrification and smart products for every room in the home.  Addition of electrification enablers, such as smart electrical panels and dynamic Level 2 EV chargers, that help eliminate roadblocks many homeowners have in wanting to electrify their entire home.  Simplifying rebate and savings programs, such as Congress' Inflation Reduction Act, to help customers cut costs by taking advantage of available local and national funding and discounts.  Building relationships with industry leaders in product, service and consumer education to supplement and amplify their mission to electrify American homes.    This electric push comes as a new generation of homeowners seek to invest in smarter, greener home solutions and previous generations are coming up against new government standards making accessibility to like-for-like replacement equipment for their home obsolete.    With Kenmore's electrification program delivering a quick onramp to affordable green energy homes, homeowners of all backgrounds and budgets have a more attainable path to smart, green home adoption.          Notes:   Kenmore CEO and Appliances   Seg. 1   Major appliances and clean tech and sustainability energy security is a big issue on the macro end. The effect on the electric grid and power lines.   There is lots of demand and potential blackouts. This is a fuel and demand issue. The government and utility companies are working on clean energy. Currently they use fossil fuels and working on using less.   Design of the future house would have a battery in it that could recharge your appliances and electronics storing down ours.   The electric layout of most homes, especially homes built pre-1990s has an 100 amp circuit. If you have modern tech like an EV charger in your house, an electrician cannot set it up because the EV charger will blow up your 100 amp circuit.   It would cost you between $20 and 60 K to upgrade a house for a modern electric set up. Kenmore will install electric panel with load balance for EV vehicles and in-home appliances.   Seg. 2   Electrical layout of a house as you install new appliances. There is a booster within the inflation reduction act. There are rebates for lower income people, where it pays you for getting new appliances. 10 K instant credit for new appliances.   The comparison of older appliances versus new appliances. Many older appliances may run on fossil fuels like a gas range oven or gas water heater. Older HVAC unit has more wear and tear.   On a hot days and really cold days appliances operate at peak and are putting demand on the electric red. Looking for new ways of sustainable clean energy and examples hydroelectric power.   You would have a back up in high demand times, where are you fire up a generator running on fossil fuels.   Do you want to protect the grid for maintenance but also things like cyber attacks. One way you could do this is make all homes standalone energy producers.   Peak rates for electricity or 6 to 10 PM at night. At these times electricity use taxes the grid and also taxes your wallet. Do you want to run your dishwasher post 10 PM.   Seg. 3   We are moving from a world of done by you to a world of done for you. The smart home of the future will help you.   The electrical panel would work with the grid and decide when to charge electronics in your house. Kenmore has electric appliances that works with the electric red. These appliances save you money and also save the grid.   On a bigger scale we need to modernize the electric road. Then in the future build better homes cars and appliances. Inflation reduction act has multiprong incentives for all of this.   When we saw the bull run of tech starting in 2010 it had three things working together. Social mobile and the cloud all came together to create this tech rise. Do you need electricity plus clean energy plus clean water.   A rising tide that can raise all. Do you want to solve problems, what are the pain killers?   Seg. 4   CEO was an engineer by trade. Worked in Boston went to business school and after that he built some products. Worked at Altavista on firewalls and search.   Cloud print on printing mobile with the HP e-print. Worked in wearables at Hugo boss and Ferrari.   Worked at Comcast on Xfinity digital security and high-speed Internet. Worked with shark and ninja on home robots. Worked at Bershire Gray, consumer robots which went public with an IPO.   Then at Brands / Kenmore (also Diehard batteries) - Building better and smarter appliances   Span that I/O build a smart electrical panel. Do you want your appliances to give you repair and maintenance updates.   Whole home electrification. A whole home dashboard controlling your smart home. An example would be your fridge would tell you when you need a new filter. Kenmore is a tech forward company.   Solving problems in electricity and energy also have the same issues with working on better water and clean food. It is more than just an energy and electric issue.   Live more and live better. Also need to make it affordable. Kenmore is home electricity made easy. rebates.kenmore.com they have the blue-collar work ethic with the idea of progress over perfection. Kenmore is a consumer centric team.         Biotech Shows: https://brt-show.libsyn.com/category/Biotech-Life+Sciences-Science   AZ Tech Council Shows:  https://brt-show.libsyn.com/size/5/?search=az+tech+council *Includes Best of AZ Tech Council show from 2/12/2023   Tech Topic: https://brt-show.libsyn.com/category/Tech-Startup-VC-Cybersecurity-Energy-Science  Best of Tech: https://brt-show.libsyn.com/size/5/?search=best+of+tech   ‘Best Of' Topic: https://brt-show.libsyn.com/category/Best+of+BRT      Thanks for Listening. Please Subscribe to the AZ TRT Podcast.     AZ Tech Roundtable 2.0 with Matt Battaglia The show where Entrepreneurs, Top Executives, Founders, and Investors come to share insights about the future of business.  AZ TRT 2.0 looks at the new trends in business, & how classic industries are evolving.  Common Topics Discussed: Startups, Founders, Funds & Venture Capital, Business, Entrepreneurship, Biotech, Blockchain / Crypto, Executive Comp, Investing, Stocks, Real Estate + Alternative Investments, and more…    AZ TRT Podcast Home Page: http://aztrtshow.com/ ‘Best Of' AZ TRT Podcast: Click Here Podcast on Google: Click Here Podcast on Spotify: Click Here                    More Info: https://www.economicknight.com/azpodcast/ KFNX Info: https://1100kfnx.com/weekend-featured-shows/     Disclaimer: The views and opinions expressed in this program are those of the Hosts, Guests and Speakers, and do not necessarily reflect the views or positions of any entities they represent (or affiliates, members, managers, employees or partners), or any Station, Podcast Platform, Website or Social Media that this show may air on. All information provided is for educational and entertainment purposes. Nothing said on this program should be considered advice or recommendations in: business, legal, real estate, crypto, tax accounting, investment, etc. Always seek the advice of a professional in all business ventures, including but not limited to: investments, tax, loans, legal, accounting, real estate, crypto, contracts, sales, marketing, other business arrangements, etc.  

What if building software felt more like composing than coding? In this episode, Hugo and Greg explore how LLMs are reshaping the way we think about software development—from deterministic programming to a more flexible, prompt-driven, and collaborative style of building. It's not just hype or grift—it's a real shift in how we express intent, reason about systems, and collaborate across roles. Hugo speaks with Greg Ceccarelli—co-founder of SpecStory, former CPO at Pluralsight, and Director of Data Science at GitHub—about the rise of software composition and how it changes the way individuals and teams create with LLMs. We dive into: - Why software composition is emerging as a serious alternative to traditional coding - The real difference between vibe coding and production-minded prototyping - How LLMs are expanding who gets to build software—and how - What changes when you focus on intent, not just code - What Greg is building with SpecStory to support collaborative, traceable AI-native workflows - The challenges (and joys) of debugging and exploring with agentic tools like Cursor and Claude We've removed the visual demos from the audio—but you can catch our live-coded Chrome extension and JFK document explorer on YouTube. Links below. JFK Docs Vibe Coding Demo (YouTube) (https://youtu.be/JpXCkuV58QE) Chrome Extension Vibe Coding Demo (YouTube) (https://youtu.be/ESVKp37jDwc) Meditations on Tech (Greg's Substack) (https://www.meditationsontech.com/) Simon Willison on Vibe Coding (https://simonwillison.net/2025/Mar/19/vibe-coding/) Johnno Whitaker: On Vibe Coding (https://johnowhitaker.dev/essays/vibe_coding.html) Tim O'Reilly – The End of Programming (https://www.oreilly.com/radar/the-end-of-programming-as-we-know-it/) Vanishing Gradients YouTube Channel (https://www.youtube.com/channel/UC_NafIo-Ku2loOLrzm45ABA) Upcoming Events on Luma (https://lu.ma/calendar/cal-8ImWFDQ3IEIxNWk) Greg Ceccarelli on LinkedIn (https://www.linkedin.com/in/gregceccarelli/) Greg's Hacker News Post on GOOD (https://news.ycombinator.com/item?id=43557698) SpecStory: GOOD – Git Companion for AI Workflows (https://github.com/specstoryai/getspecstory/blob/main/GOOD.md)

From the integrities of the human workforce embracing enhancing soft skills over hard skills in the enterprise tech space to the adoption of artificial intelligence (AI) agents in customer service, this conversation covers it all. In this episode of the Tech Transformed podcast, Shubhangi Dua speaks with Nikhil Nandagopal, co-founder and CPO of Appsmith, about the metamorphological impact of AI agents in the workplace. He particularly emphasises the need for organisations to hone in on the advancing capabilities of agentic AI while still maintaining a focus on human collaboration and security. TakeawaysAI agents are autonomous entities designed to achieve specific goals.The centralisation of data through AI agents simplifies workflows.Conversational interfaces are becoming the norm for accessing information.Humans remain integral to AI workflows, acting as moderators.Job roles will evolve, requiring new skills and adaptability.Critical thinking is essential when interacting with AI outputs.Cybersecurity is a major concern with centralised AI systems.Self-hosting AI solutions can mitigate cybersecurity risks.The future of work will reward soft skills over hard skillsChapters00:00 Introduction to AI Agents and Their Impact03:34 The Shift Towards Conversational Interfaces05:07 Assisted Workflows and Human-AI Collaboration10:05 Job Market Evolution in the Age of AI13:23 Critical Thinking in the Age of AI15:29 Cybersecurity Concerns with AI20:31 Preparing for Cyber Threats in AI Systems22:51 The Future of AI Agents in the Workplace

Product management is facing a crisis — and Dave Wascha calls it The Reckoning. In this episode, Dave joins Lily and Randy to unpack the growing backlash against the product profession. He shares stories from his time at Microsoft, Moonpig, and Zoopla, revealing why product people lost the room — and how to win it back.Featured Links: Follow Dave on LinkedIn | 'Product Management is NOT dead' feature by Dan Olsen | 'What we learned at #mtpcon London 2025' feature by Kent McDonald and Louron PrattOur 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.

As we hear of the volcanic and seismic activity taking place in Iceland this week, pharmaphorum turns back to a conversation with Dean Alms, CPO of Aravo, on how extreme weather highlights the need to make adequate supply chain preparations for the seasons in which the planet pulls out all the stops with the worst of its natural disasters. Having a blueprint for supply chain resiliency is critical, as a mature and robust risk programme enables the right emergency protocols and drug reserves to be in place in the worst-case scenarios, and permits plants to return to full operation as speedily as possible. And this is where Aravo, a third-party management software solutions company, comes in, operating at three macro levels: life cycle management, the due diligence process, and providing unified visibility into all this information. Alms talks through the different scenarios and ways of approach to best safeguard the pharmaceutical supply chain, and explains what should be top of mind for chief risk officers when each extreme weather season arrives. You can listen to episode 171a of the pharmaphorum podcast in the player below, download the episode to your computer, or find it - and subscribe to the rest of the series - in iTunes, Spotify, Amazon Music, Podbean, and pretty much wherever you get your other podcasts!

Stay on plan no matter what mood you are experiencing. There are ways to work through those distractions. Colleen Klimczak, CPO, discusses organizing home offices & small businesses, paper & time management, using home spaces in their best possible way, and creating time with family in this weekly podcast. Learn more at PeaceOfMindPO.com!

“We're seeing data around the acceleration of procurement having to ‘do more with less' and this is compounding year over year, so at some point, procurement's operating model is going to break.” – Philip Ideson, Co-Founder and Managing Director, Art of Procurement Procurement teams are facing unprecedented and compounding pressure to “do more with less,” and, because of that, it's more important than ever for procurement's operating model to evolve and mature to meet these growing demands. In this episode, co-hosts Kelly Barner and Philip Ideson explore why procurement operating models have become such a top-of-mind topic in 2025 and what this reveals about process change, talent needs, and digital transformation. They examine how procurement's organizational approach has changed over the years and the pendulum swings we've seen – from decentralized buying to centralized control, then from center-led and now to a kind of “invisible” procurement model. In this episode, Phil and Kelly also discuss: The major trends and changes in procurement operating models and how, at each stage, this has affected procurement's reputation and role in the business How to create more capacity by maturing your operating model and the different stages of operational maturity The CPOs role in establishing a strong operating model, including how and when to leverage orchestration platforms and AI Links: Positioning Procurement for Strategic Success in 2025 w/ Samir Khushalani Mastering the First 100 Days as a CPO w/ Darshan Deshmukh  The Hackett Group's 2025 Key Issues Study: Insights on Procurement Priorities, Technology, and Operating Models w/ Chris Sawchuk Subscribe to This Week in Procurement Subscribe to Art of Procurement on YouTube  

Send us a textJoin hosts Alex Sarlin and Ben Kornell as they break down a pivotal week of AI announcements, edtech disruption, and education policy shifts.✨ Episode Highlights:[00:00:00] China introduces AI education for 6-year-olds, sparking urgency for U.S. to respond[00:05:23] OpenAI teases a creative writing model as Google and Anthropic push into coding AI[00:07:59] Gemini Canvas and Deep Research go free, redefining educational productivity tools[00:11:09] Copyright clash: OpenAI wants to train on protected content, creatives push back[00:14:02] Gemini's UI outpaces OpenAI with real classroom use cases[00:17:54] Chain of Draft from Zoom cuts AI costs by 90% and mimics human note-taking[00:18:34] Baidu, Alibaba launch emotion-reading and multi-modal AI models in China[00:20:50] Manus, China's autonomous AI agent, sparks global interest in multi-agent systems[00:23:36] U.S. vs. China: centralized AI strategy meets decentralized innovation culture[00:27:57] U.S. Education Dept. shutters Office of Ed Tech, leaving a national guidance gapPlus, special guests:[00:30:11] Annie Chechitelli, CPO at Turnitin, on launching Clarity for ethical student AI use[01:03:49] Sara Mauskopf, CEO & Co-founder of Winnie, on expanding into K-12 and the rise of school choice

In this episode of The Bookkeepers' Podcast, Jo Wood and Zoe Whitman are joined by Ilya Radzinsky, CPO and Founder of TaxDome, the all-in-one platform designed to help bookkeepers and accountants simplify, automate, and grow their practices. If you're tired of juggling different software tools, chasing clients for paperwork, or feeling buried in admin, this conversation will show you a better way. Ilya shares how TaxDome brings everything together in one powerful platform—making it easier for bookkeepers to manage their workflow, get paid faster, and scale their businesses. We talk about: ✅ Why automation is key to growing a profitable bookkeeping business ✅ How to simplify client communication and document collection ✅ The must-have tools inside TaxDome for bookkeepers and accountants ✅ How to systemise your processes and save hours every week ✅ Why using an all-in-one platform can reduce overwhelm and increase profit Whether you're just starting out or ready to scale, this episode is packed with practical advice on how to work smarter—not harder!

Text a pool service question HERE!In this episode, we dive into the intricacies of certifications and licensing in the pool and spa service industry, particularly within Australia. Here's what we explore:State-Specific Licensing Laws: The unique regulatory landscape across different Australian states and its impact on pool and spa service professionals.Certifications Overview:Certificate III in Pool and Spa Service: A pathway to licensing in some states, emphasizing core skills for technicians.Certificate IV in Pool and Spa Service: A more advanced course focusing on business management and installations, though not a licensing pathway.Aquatic Technical Operator Course: Aligning with the CPO, designed for professionals in commercial aquatic facilities.The Licensing Dilemma: Challenges posed by inconsistent enforcement of licensing requirements and the importance of qualifications for commercial contracts.Online and In-Person Learning: Flexible, self-paced learning options and the time commitment involved in completing these courses.Professionalizing the Industry: Insights into the importance of education, licensing, and proper training for advancing the pool and spa service sector.Join us as we uncover how these certifications help shape better service standards and provide opportunities for growth in the pool and spa industry. Support the showThank you so much for listening! You can find us on social media: Facebook Instagram Tik Tok Email us: talkingpools@gmail.com

Send us a textOn this week of Serious Privacy, Paul Breitbarth, Ralph O'Brien of Reinbo Consulting, and Dr. K Royal cover a month in privacy. This includes UK adequacy, the March meeting of the European Data Protection Board where they released a statement on the implementation of the PNR directive, we talk about BCRS and the number of companies who have adopted BCRs and BSPRs, and the UK list of BCRs, court cases, we talk about the future of the GDPR and lots of data protection consultation, and that is just the European part of it.Please subscribe in your favorite podcast app - sharing is caring!  Powered by TrustArcSeamlessly manage your privacy program, assess risks, and stay up to date on laws across the globe.With TrustArc's Privacy Studio and Governance Suite, you can automate cookie compliance, streamline data subject rights, and centralize your privacy tasks—all while reducing compliance costs. Visit TrustArc.com/serious-privacy.If you have comments or questions, find us on LinkedIn and Instagram @seriousprivacy, and on BlueSky under @seriousprivacy.eu, @europaulb.seriousprivacy.eu, @heartofprivacy.bsky.app and @igrobrien.seriousprivacy.eu, and email podcast@seriousprivacy.eu. Rate and Review us! From Season 6, our episodes are edited by Fey O'Brien. Our intro and exit music is Channel Intro 24 by Sascha Ende, licensed under CC BY 4.0. with the voiceover by Tim Foley.

Farah Gasmi is the Co-founder and CPO of Dioptra, the accurate and customizable AI agent that drafts playbooks and consistently redlines contracts in Microsoft Word. Dioptra is trusted by some of the most innovative teams, like Y Combinator and Wilson Sonsini. She has over 10 years of experience building AI products in healthcare, insurance, and tech for companies like Spotify. Farah is also an adjunct professor at Columbia Business School in NYC. She teaches a Product Management course with a focus on AI and data products. Laurie Ehrlich is the Chief Legal Officer at Dioptra, a cutting-edge legal tech startup revolutionizing contract redlining and playbook generation with AI. With a background leading legal operations and commercial contracting at Datadog and Cognizant, Laurie has deep expertise in scaling legal functions to drive business impact. She began her career in intellectual property law at top firms and holds a JD from NYU School of Law and a BS from Cornell. Passionate about innovation and diversity in tech, Laurie has also been a champion for women in leadership throughout her career. In this episode… Contract review can be time-consuming and complex, especially when working with third-party agreements that use unfamiliar language and formats. Legal teams often rely on manual review processes that make it challenging to maintain consistency across contracts, contributing to inefficiencies and increased costs. That's why businesses need an effective solution that reduces the burden of contract analysis while supporting legal and strategic decision-making. Dioptra, a legal tech startup, helps solve these challenges by leveraging AI to automate first-pass contract reviews, redline contracts, and generate playbooks. The AI agent analyzes past agreements to identify patterns, standard language, and key risk areas, allowing teams to streamline the review process. It supports a range of use cases — from NDAs to real estate deals — while improving consistency and reducing review time. Dioptra also enhances post-execution analysis by enabling companies to assess past agreements for compliance and risk exposure. In this episode of She Said Privacy/He Said Security, Jodi and Justin Daniels speak with Farah Gasmi, Co-founder and Chief Product Officer at Dioptra, and Laurie Ehrlich, the Chief Legal Officer at Dioptra, about how AI is used to streamline contract reviews. Together, they discuss how Dioptra accelerates contract reviews, supports security and privacy through strict data controls, and enables organizations to build smarter, more consistent contract processes — without removing the need for expert human judgment. Farah and Laurie also delve into the importance of AI-driven consistency in contract negotiation, vendor security evaluations, and how companies can safeguard sensitive data when using AI tools.

Stephen Dooley is Founder of Roamr, a corporate travel accommodation platform built for distributed teams. Merging insights from trust dynamics and the sharing economy, Stephen explains how a personal pain point led to an innovative travel solution rethinking cost structures and workplace needs. He shares how listening to customer feedback evolved the initial concept into a fresh approach to business travel that—being empathetic and practical—supports flexibility, connection, and culture while delivering measurable impact for businesses and employees alike.     TAKEAWAYS [01:22] Stephen studies commerce aligning early interests in business and entrepreneurship. [01:45] A year abroad gives Stephen an exciting experience and global perspective. [03:11] The year studying in the US sparks Stephen's ambition and sharpens his interpersonal skills. [03:47] Graduate research initially focuses on financial technology and wealth management. [05:15] Stephen is interested in tech-related consumer psychology dynamics and adoption drivers. [06:25] The sharing economy reverses historical fundamental trust patterns and behaviors. [07:11] Younger consumers now influence their parents' tech-based adoption decisions. [08:34] Stephen takes a new role then the pandemic hits, requiring rapid learning. [09:28] A light bulb moment about new realities for travel, lifestyle and career compatibility. [09:47] A great workation opportunity is dashed by unaffordable accommodation. [10:42] Identifying remote work necessities reveal need for better infrastructure. [11:17] Location flexibility is widespread, but how to take advantage of new opportunities. [12:21] Societal tailwinds are behind Working From Anywhere and distributed work. [12:55] Roamr launches with an employee-focused offering home swaps for workations. [13:49] During customer discovery, many employers ask to apply the model to corporate travel. [14:20] Employees get alternatives to hotels, financially benefit, and firms save money. [14:52] Now business travel is more relationship-focused, so culture and collaboration benefits can outweigh reduced costs. [16:31] Travel expenses can be significant so more than 20% in savings is valuable. [17:09] Improved culture, engagement, and retention offer meaningful additional benefits. [19:21] More younger workers understand the Roamr concept and have much interest to connect and network. [20:09] Hosting income also helps employees towards meaningful financial goals. [21:04] Roamr aligns CFO cost savings priorities and CPO employee experience goals. [22:40] Global platform partners expand reach to over 100 countries. [24:31] Top talent understand their worth and if not offered flexibility will work elsewhere. [25:50] Finding the option(s) that work for each person—where is the middle ground? [28:08] Research revealed how taxi rides fostered long-term interactions. [28:46] Engineering connections by mapping users to have facilitated serendipity. [29:32] Adding personal networks to expand reach, connectivity, and flexible opportunities. [31:50] Employees can create and plan local events during work trips. [32:30] Visibility avoids missed connections among nearby remote coworkers. [33:15] Highlighting common interests to encourage sharing experiences while traveling. [34:11] In-person sales increase in relevance as AI outreach becomes oversaturated. [36:02] Commoditized business travel offers few incentives for employees to reduce costs. [37:15] Incentivizing smart booking combined with uplifts for culture and engagement. [37:47] Buffers in travel planning processes reveal hidden budget inefficiencies. [38:55] Roamr is a win-win choice – an optional, flexible alternative to hotels. [39:18] IMMEDIATE ACTION TIP – How can you think differently about business travel processes to avoid or reduce bloated costs?       RESOURCES   Stephen Dooley on LinkedIn Roamr's website     QUOTES   “What if we could make work from anywhere, work from everywhere?”​  “It's a platform that helps companies save 30% on their corporate travel accommodation and we do that by paying employees instead of hotels.”​  “We believe that's a way better way to build culture rather than a kind of team building awkward session in the middle of the office.”​ “So we're not just saying we want to save money. We actually want to make the experience better, more intentional, more engaging.”​ “How do we find a way to give some flexibility, but also bring teams together and make it work?”​ “Everybody can send a million emails now. How are we going to stand out? How we're going to build those relationships?”​

In this powerful MiCannaCast episode, Cannadave, Groovee, and Summer Sky welcome Jenna Mullins, Chief People Officer at Muha Meds, for an unfiltered conversation about breaking barriers in cannabis HR, growing a national brand, and what it really means to put people first in a fast-paced and evolving industry.Jenna shares her personal cannabis story — how Cannabis changed her life — and dives into her journey from traditional HR into the green frontier. You'll hear about the explosive growth of Muha Meds, the challenges of HR in a multi-state cannabis company, her thoughts on government policy, and yes — some wild HR stories

Mergers and acquisitions are often seen as boardroom strategy – but it's becoming ever more important for product leaders to be key stakeholders in the process. In this live interview recorded at #mtpcon London 2025, Randy sits down with Vincent Jong, CPO at Dealfront, to explore the real, unfiltered lessons of product leadership during M&A.Vincent shares stories from inside two major integrations offering tactical insight into what product teams need to know, how to spot risk before it's too late, and why defining success early is critical. Featured Links: Follow Vincent on LinkedIn and his website | Join Vincent at Saas on The Beach event in May | Buy Vincent's book 'Product-Led Sales: Combine the Best of Product-Led Growth and Sales' | 'What we learned at #mtpcon London 2025' feature by Kent McDonald and Louron PrattOur 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 episode of Leadership With Heart, I sit down with Kirstin Guptill, Chief People Officer at HopeWest, to explore how leadership is evolving beyond administration into deeply human, strategic, and transformative work. Kirstin shares her experience stepping into a brand new CPO role at a nonprofit that supports people through some of life's most challenging moments. With a background in HR leadership and a passion for building cultures that prioritize connection, she walks us through her approach to shaping employee experiences, driving retention, and ensuring that workplace culture is more than just a buzzword. Every team member must feel it. We also discuss the power of boomerang employees, the importance of designing recruitment processes that truly attract the right people, and how organizations can move from a transactional approach to a relational one. Kirstin's insights highlight why great leadership is not about having all the answers. It is about asking the right questions, listening, and creating a workplace where people do not just work,  they belong beyond the workplace. We talk about something we all need to embrace more, self-leadership. Kirstin shares how working in hospice and palliative care has deepened her gratitude and reshaped how she approaches life outside of work. This conversation is full of wisdom for anyone looking to step up as a leader, build a culture of belonging, or rethink what it means to support people, whether in the workplace or in their most vulnerable moments. So how do you define leadership with heart, and what steps are you taking to build a workplace where people want to be? Let's talk about it.  

How do CPOs balance keep teams engaged in meaningful work while building a product strategy from scratch? Stephanie Leue, Chief Product Officer at Doodle at the time of this recording, shares how she integrates customer feedback, collaboration with internal teams, and data-driven insights to inform strategic decisions, underscoring the value of communication and using various artifacts to convey the product strategy effectively across the organization. By engaging in discovery while leveraging foundational work, teams can build trust and demonstrate progress to stakeholders. Stephanie's experience as a seasoned product leader in B2B SaaS, along with her focus on leadership coaching and diversity and inclusion, underscores the critical role of experienced product leaders in making the craft of product management appear seamless.  Overall, her approach emphasizes the iterative nature of product strategy development, de-risking bets with data and discovery, and fostering collaboration and trust within teams to drive meaningful progress and innovation in product development. Resource Links Visit Stephanie's webpage Follow Stephanie Leue's Substack Follow Stephanie Leue on LinkedIn Visit the Doodle website Follow Holly on LinkedIn Visit the Product Science Group website Explore Product Science Workshops and Courses Quotes from Stephanie Leue:"We just don't want to build one feature after another. We want to have kind of a bigger picture in mind and we want to achieve that bigger version of what we are today, right?" “If you show them 1 minute 20 about the future of a product, they immediately have 20,000 things that will never work out. And they have 20,000 questions and like tons of ideas why things will take way longer than expected. But to be honest, that's exactly the discussion you want to have, right?”  “We needed to train ourselves to ask the right questions. We needed to get answers to these questions. We needed to understand the data we got. We needed to compose a picture out of that data. So that takes a while because that's like a team effort.” Lab Notes Lab Note 604.1: Experienced product leaders make the craft of product management look easy Lab Note 604.2: Strategy is a series of bets that can make even the CPO uncomfortable Lab Note 604.3: Use different communication approaches for different audiences of your product strategyLab Note 604.4: Find foundational alignment and begin executing while you are developing your bigger product strategy Ready to elevate your product leadership game? Dive deep into practical solutions for real-world product challenges. Register now: https://www.productsciencegroup.com/services View the transcript and the ⁠full episode description on the Product Science Podcast website here.⁠

The story of how Colleen became a professional organizer leads to sage advice for anyone looking to start their own business. Colleen Klimczak, CPO, discusses organizing home offices & small businesses, paper & time management, using home spaces in their best possible way, and creating time with family in this weekly podcast. Learn more at PeaceOfMindPO.com!

Send us a textSelling your home can feel like navigating a minefield blindfolded. Rowena Patton removes that blindfold by revealing what real estate agents typically keep behind closed doors, starting with a bombshell revelation: over 30% of home sales fall through after going under contract.Drawing from her experience with over 3,500 transactions, Rowena explains why traditional home selling methods are increasingly risky in today's shifting market. Most properties across the country peaked in value during 2023 and are now experiencing a plateau before the inevitable economic cycle downturn. This reality check serves as a crucial warning for sellers hoping prices will continue rising indefinitely.The episode introduces a game-changing approach to selling: the Certified Pre-Owned (CPO) home strategy. By investing in a pre-inspection before listing (typically $400-600), sellers can identify potential issues upfront, dramatically reducing the failure rate from 33% down to just 7%. This proactive approach prevents the dreaded "stigmatized listing" phenomenon that occurs when deals fall through, forcing sellers into significant price reductions.Rowena breaks down three distinct selling paths—conventional listings, conventional CPO, and cash CPO—comparing their timelines, close rates, and advantages. The differences are stark: conventional listings close successfully only 67% of the time, while CPO approaches reach an impressive 93% success rate. For those needing guaranteed sales and quick closings (perfect for divorce, inheritance, or relocation situations), the cash CPO option provides up to 70% of equity within just two weeks.Whether you're considering selling now or in the future, this episode provides critical insights that could save you thousands of dollars and months of stress. Don't gamble with your largest asset by skipping a simple inspection—call 828-333-4483 to discuss your options with Rowena's team anywhere in the country.

The EU Commission has brought the hammer down on Apple and Google at the same time. All the big news from Nvidia's big event yesterday. More details on that Google/Wiz deal. Two new Pebble smartwatches and Google's new entry-level Pixel… that you can't preorder yet.Sponsors:MackWeldon.com and promocode BRIANLinks:EU sends Apple first DMA interoperability instructions for apps and connected devices (TechCrunch)Google Search charged with breaking EU antitrust rules (The Verge)Nvidia announces Blackwell Ultra and Rubin AI chips (CNBC)The key takeaways from Nvidia CEO Jensen Huang's GTC keynote (SiliconAngle)NVIDIA GTC 2025 – Built For Reasoning, Vera Rubin, Kyber, CPO, Dynamo Inference, Jensen Math, Feynman (SemiAnalysis)Google's $32 billion deal for Wiz accelerated under Trump, sources say (Reuters)The first new Pebble smartwatches are coming later this year (The Verge)The Pixel 9A is a midrange phone that actually looks like a good deal (The Verge)See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode, Carlos Gonzalez de Villaumbrosia interviews Chiara McPhee, Chief Product Officer at Postscript, a leader in SMS marketing for e-commerce. Postscript is revolutionizing how e-commerce brands engage with customers. With over $100 million in Annual Recurring Revenue (ARR) and more than 20,000 Shopify merchants using their platform, Postscript has become a powerhouse in conversational commerce. Their SMS marketing tools have helped generate over $2 billion in e-commerce revenue for their customers annually, with open rates exceeding 90%, far outpacing traditional email marketing.In this episode, Chiara shares her insights on:* Leveraging generative AI to create personalized, one-to-one conversations that drive revenue.* How AI agents are outperforming human customer support in certain areas.* Key revenue leading indicators in SMS marketing and setting up effective attribution models.* Overcoming challenges in scaling infrastructure to achieve $100M in Annual Recurring Revenue.* The benefits of focusing exclusively on Shopify.* The "Horizon Strategy" approach to building teams tailored for Horizon 1 (cash cow), Horizon 2 (growth), and Horizon 3 (moonshots), balancing short-term wins with long-term ambitious goals in product development.In this episode, we'll explore how Postscript is leveraging cutting-edge technology to deliver personalized customer experiences, driving revenue and redefining e-commerce marketing. We'll discuss leveraging generative AI to create personalized, one-to-one conversations that drive revenue, how AI agents are outperforming human customer support in certain areas, overcoming challenges in scaling infrastructure to achieve $100M in Annual Recurring Revenue, and the benefits of focusing exclusively on Shopify. What you'll learn:* Chiara's journey to becoming CPO at Postscript and her insights on the power of SMS marketing.* How generative AI enables personalized, one-to-one conversations that drive revenue.* Key strategies for SMS marketing, including compliance, personalization, and integration with other channels.* How to structure product teams using the "Horizon Strategy" to balance short-term wins with long-term innovation. Key Takeaways:*Personalized Conversations: Chiara emphasizes the importance of leveraging generative AI to create personalized, one-to-one conversations that drive revenue.*Focus on Shopify: Chiara highlights the company's strategic decision to focus exclusively on Shopify, and the impact it had on business outcomes.*Horizon Strategy: Chiara shares the benefits of the "Horizon Strategy" approach to building product teams tailored for different stages of growth and innovation.

Featured Links: Follow Trisha on LinkedIn | Pendo | Trisha's 'The future of product management' talk at #mtpcon roadshow Amsterdam 2024Our 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 a textOn this week of Serious Privacy, Paul Breitbarth, Ralph O'Brien of Reinbo Consulting, and Dr. K Royal connect with MissIGGeek herself, Rowenna Fielding on all things ethics.Please subscribe in your favorite podcast app - sharing is caring!  Powered by TrustArcSeamlessly manage your privacy program, assess risks, and stay up to date on laws across the globe.With TrustArc's Privacy Studio and Governance Suite, you can automate cookie compliance, streamline data subject rights, and centralize your privacy tasks—all while reducing compliance costs. Visit TrustArc.com/serious-privacy.If you have comments or questions, find us on LinkedIn and Instagram @seriousprivacy, and on BlueSky under @seriousprivacy.eu, @europaulb.seriousprivacy.eu, @heartofprivacy.bsky.app and @igrobrien.seriousprivacy.eu, and email podcast@seriousprivacy.eu. Rate and Review us! From Season 6, our episodes are edited by Fey O'Brien. Our intro and exit music is Channel Intro 24 by Sascha Ende, licensed under CC BY 4.0. with the voiceover by Tim Foley.

In this episode of O&P Rising, recorded live at the 51st Academy Annual Meeting & Scientific Symposium in Atlanta, host Kaleigh Neely, CPO, chats with Sheryl Sachs, CPO, of Dankmeyer Prosthetics & Orthotics. They explore the critical role of advocacy in the O&P profession, Sheryl's journey into policy work, and why young professionals should get involved. The conversation also highlights the importance of research, collaboration, and legislative efforts to shape the future of the profession.   O&P Rising is produced by Association Briefings. 

Spring is upon us and you may have the urge to make some changes or improvements. Let's talk about planning and projects. Colleen Klimczak, CPO, discusses organizing home offices & small businesses, paper & time management, using home spaces in their best possible way, and creating time with family in this weekly podcast. Learn more at PeaceOfMindPO.com!

“For anybody getting into the CPO role, whether internal or external, you ultimately have to start with your own assessment of the organization and quickly come up with what your priorities are.” – Darshan Deshmukh, President at ProcureAbility The role of Chief Procurement Officer has changed significantly over the last decade, with the focus shifting primarily from cost savings to value generation. In this Art of Procurement podcast episode, Philip Ideson talks with Darshan Deshmukh, President at ProcureAbility, about why CPOs need to strike the right balance between their ability to influence and their technical expertise. Darshan has extensive experience working with procurement leaders across multiple industries, and in this episode, he lays out a structured approach newly-minted CPOs can take in their first 100 days to set themselves and their teams up for success.  Understanding business priorities, creating strong stakeholder relationships, and aligning procurement's initiatives and processes with organizational goals should all be top priorities.  Philip and Darshan explore: How the CPO role has evolved over time, including strategic priorities and reporting and incentive structures How CPOs can drive positive change by balancing speed with purpose-driven change management, all while preserving critical stakeholder relationships The features of a practical process and organizational framework that CPOs can establish in their first 100 days Links: Darshan Deshmukh on LinkedIn Overcoming Procurement's Fear of AI Subscribe to This Week in Procurement Subscribe to Art of Procurement on YouTube  

主持人：阮慕驊 來賓：摩爾投顧分析師 張貽程 主題：台股現在該怎麼買！？ CPO.機器人.記憶體 節目時間：週一至週五 5:00pm-7:00pm 本集播出日期：2025.03.17 此集影片YouTube連結 https://youtube.com/live/sSNJPkEjHl0

This week on the pod: Judge orders 6 agencies (including IRS?) to rehire fired probationary workers, we dig into the tax trick Dr. Oz used to pay no Medicare taxes, AICPA in pointless talks with the IRS, Digits takes on QuickBooks with AI-powered GL, remote accounting jobs in retreat, and more!SponsorsOnPay - http://accountingpodcast.promo/onpayRelay - http://accountingpodcast.promo/relayChapters(01:29) - Listener Feedback and Criticism (02:37) - Political Discussions and Their Impact on Accounting (12:34) - IRS Workforce Cuts and Technology Issues (20:44) - Dr. Oz and the Limited Partner Tax Strategy (33:15) - Viewer Comments and AI Discussion (33:56) - Digits and AI (52:29) - Remote Accounting Jobs: Trends and Insights (58:32) - Deloitte's Audit Integrity (01:00:53) - IRS Drama: Chief Counsel Clash (01:02:03) - Podcast Wrap-Up and Listener Engagement  Show NotesDr. Mehmet Oz may have underpaid Medicare and Social Security taxes, Senate Democratic memo findshttps://www.nbcnews.com/politics/congress/dr-mehmet-oz-medicare-social-security-taxes-democrats-memo-rcna196237 DOGE proposes cutting IRS workforce by a total of nearly 20%https://www.cnn.com/2025/03/13/politics/doge-irs-workforce-cuts-downsizing/index.html Judge orders Trump administration to reinstate thousands of fired employees at VA, Defense Department and other agencieshttps://www.cnn.com/2025/03/13/politics/judge-opm-probationary-employees-fired-hearing/index.html AICPA CEO Releases Statement on IRS Services for this Tax Seasonhttps://www.aicpa-cima.com/news/article/aicpa-ceo-releases-statement-on-irs-services-for-this-tax-season Introducing Autonomous General Ledgerhttps://digits.com/blog/agl-announcement/ Building AI that Actually Works: 10 Key Lessons from Calendly's CPO and Head of UXhttps://www.saastr.com/10-key-lessons-from-calendlys-cpo-and-head-of-ux-on-building-ai-that-actually-works/ Only 9% of SMB finance teams are still working fully remotehttps://www.cfo.com/news/only-9-of-small-medium-SMB-cfos-are-still-working-fully-remote-return-to-office-strategies/740312/ Opportunity to Attract and Retain Highly Motivated Working Parents via Enhanced Flexibility, Stronger Support Systemshttps://kpmg.com/us/en/media/news/kpmg-working-parents-survey-2025.html Steak n Shake's parent company gets an adverse opinion from auditorhttps://www.expressnews.com/business/article/steaknshake-biglari-auditor-adverse-opinion-20204740.php The IRS just demoted its chief counsel who clashed with Elon Musk's DOGEhttps://fortune.com/2025/03/13/irs-chief-counsel-doge-elon-musk/Need CPE?Get CPE for listening to podcasts with Earmark: https://earmarkcpe.comSubscribe to the Earmark Podcast: https://podcast.earmarkcpe.comGet in TouchThanks for listening and the great reviews! We appreciate you! Follow and tweet @BlakeTOliver and @DavidLeary. Find us on Facebook and Instagram. If you like what you hear, please do us a favor and write a review on Apple Podcasts or Podchaser. Call us and leave a voicemail; maybe we'll play it on the show. DIAL (202) 695-1040.SponsorshipsAre you interested in sponsoring the Cloud Accounting Podcast? For details, read the prospectus.Need Accounting Conference Info? Check out our new website - accountingconferences.comLimited edition shirts, stickers, and other necessitiesTeePublic Store: http://cloudacctpod.link/merchSubscribeApple Podcasts: http://cloudacctpod.link/ApplePodcastsYouTube: https://www.youtube.com/@TheAccountingPodcastSpotify: http://cloudacctpod.link/SpotifyPodchaser: http://cloudacctpod.link/podchaserStitcher: http://cloudacctpod.link/StitcherOvercast: http://cloudacctpod.link/OvercastWant to get the word out about your newsletter, webinar, party, Facebook group, podcast, e-book, job posting, or that fancy Excel macro you just created? Let the listeners of The Accounting Podcast know by running a classified ad. Go here to create your classified ad: https://cloudacctpod.link/RunClassifiedAdTranscriptsThe full transcript for this episode is available by clicking on the Transcript tab at the top of this page

We are working with Amplify on the 2025 State of AI Engineering Survey to be presented at the AIE World's Fair in SF! Join the survey to shape the future of AI Eng!We first met Snipd over a year ago, and were immediately impressed by the design, but were doubtful about the behavior of snipping as the title behavior:Podcast apps are enormously sticky - Spotify spent almost $1b in podcast acquisitions and exclusive content just to get an 8% bump in market share among normies.However, after a disappointing Overcast 2.0 rewrite with no AI features in the last 3 years, I finally bit the bullet and switched to Snipd. It's 2025, your podcast app should be able to let you search transcripts of your podcasts. Snipd is the best implementation of this so far.And yet they keep shipping:What impressed us wasn't just how this tiny team of 4 was able to bootstrap a consumer AI app against massive titans and do so well; but also how seriously they think about learning through podcasts and improving retention of knowledge over time, aka “Duolingo for podcasts”. As an educational AI podcast, that's a mission we can get behind.Full Video PodFind us on YouTube! This was the first pod we've ever shot outdoors!Show Notes* How does Shazam work?* Flutter/FlutterFlow* wav2vec paper* Perplexity Online LLM* Google Search Grounding* Comparing Snipd transcription with our Bee episode* NIPS 2017 Flo Rida* Gustav Söderström - Background AudioTimestamps* [00:00:03] Takeaways from AI Engineer NYC* [00:00:17] Weather in New York.* [00:00:26] Swyx and Snipd.* [00:01:01] Kevin's AI summit experience.* [00:01:31] Zurich and AI.* [00:03:25] SigLIP authors join OpenAI.* [00:03:39] Zurich is very costly.* [00:04:06] The Snipd origin story.* [00:05:24] Introduction to machine learning.* [00:09:28] Snipd and user knowledge extraction.* [00:13:48] App's tech stack, Flutter, Python.* [00:15:11] How speakers are identified.* [00:18:29] The concept of "backgroundable" video.* [00:29:05] Voice cloning technology.* [00:31:03] Using AI agents.* [00:34:32] Snipd's future is multi-modal AI.* [00:36:37] Snipd and existing user behaviour.* [00:42:10] The app, summary, and timestamps.* [00:55:25] The future of AI and podcasting.* [1:14:55] Voice AITranscriptswyx [00:00:03]: Hey, I'm here in New York with Kevin Ben-Smith of Snipd. Welcome.Kevin [00:00:07]: Hi. Hi. Amazing to be here.swyx [00:00:09]: Yeah. This is our first ever, I think, outdoors podcast recording.Kevin [00:00:14]: It's quite a location for the first time, I have to say.swyx [00:00:18]: I was actually unsure because, you know, it's cold. It's like, I checked the temperature. It's like kind of one degree Celsius, but it's not that bad with the sun. No, it's quite nice. Yeah. Especially with our beautiful tea. With the tea. Yeah. Perfect. We're going to talk about Snips. I'm a Snips user. I'm a Snips user. I had to basically, you know, apart from Twitter, it's like the number one use app on my phone. Nice. When I wake up in the morning, I open Snips and I, you know, see what's new. And I think in terms of time spent or usage on my phone, I think it's number one or number two. Nice. Nice. So I really had to talk about it also because I think people interested in AI want to think about like, how can we, we're an AI podcast, we have to talk about the AI podcast app. But before we get there, we just finished. We just finished the AI Engineer Summit and you came for the two days. How was it?Kevin [00:01:07]: It was quite incredible. I mean, for me, the most valuable was just being in the same room with like-minded people who are building the future and who are seeing the future. You know, especially when it comes to AI agents, it's so often I have conversations with friends who are not in the AI world. And it's like so quickly it happens that you, it sounds like you're talking in science fiction. And it's just crazy talk. It was, you know, it's so refreshing to talk with so many other people who already see these things and yeah, be inspired then by them and not always feel like, like, okay, I think I'm just crazy. And like, this will never happen. It really is happening. And for me, it was very valuable. So day two, more relevant, more relevant for you than day one. Yeah. Day two. So day two was the engineering track. Yeah. That was definitely the most valuable for me. Like also as a producer. Practitioner myself, especially there were one or two talks that had to do with voice AI and AI agents with voice. Okay. So that was quite fascinating. Also spoke with the speakers afterwards. Yeah. And yeah, they were also very open and, and, you know, this, this sharing attitudes that's, I think in general, quite prevalent in the AI community. I also learned a lot, like really practical things that I can now take away with me. Yeah.swyx [00:02:25]: I mean, on my side, I, I think I watched only like half of the talks. Cause I was running around and I think people saw me like towards the end, I was kind of collapsing. I was on the floor, like, uh, towards the end because I, I needed to get, to get a rest, but yeah, I'm excited to watch the voice AI talks myself.Kevin [00:02:43]: Yeah. Yeah. Do that. And I mean, from my side, thanks a lot for organizing this conference for bringing everyone together. Do you have anything like this in Switzerland? The short answer is no. Um, I mean, I have to say the AI community in, especially Zurich, where. Yeah. Where we're, where we're based. Yeah. It is quite good. And it's growing, uh, especially driven by ETH, the, the technical university there and all of the big companies, they have AI teams there. Google, like Google has the biggest tech hub outside of the U S in Zurich. Yeah. Facebook is doing a lot in reality labs. Uh, Apple has a secret AI team, open AI and then SwapBit just announced that they're coming to Zurich. Yeah. Um, so there's a lot happening. Yeah.swyx [00:03:23]: So, yeah, uh, I think the most recent notable move, I think the entire vision team from Google. Uh, Lucas buyer, um, and, and all the other authors of Siglip left Google to join open AI, which I thought was like, it's like a big move for a whole team to move all at once at the same time. So I've been to Zurich and it just feels expensive. Like it's a great city. Yeah. It's great university, but I don't see it as like a business hub. Is it a business hub? I guess it is. Right.Kevin [00:03:51]: Like it's kind of, well, historically it's, uh, it's a finance hub, finance hub. Yeah. I mean, there are some, some large banks there, right? Especially UBS, uh, the, the largest wealth manager in the world, but it's really becoming more of a tech hub now with all of the big, uh, tech companies there.swyx [00:04:08]: I guess. Yeah. Yeah. And, but we, and research wise, it's all ETH. Yeah. There's some other things. Yeah. Yeah. Yeah.Kevin [00:04:13]: It's all driven by ETH. And then, uh, it's sister university EPFL, which is in Lausanne. Okay. Um, which they're also doing a lot, but, uh, it's, it's, it's really ETH. Uh, and otherwise, no, I mean, it's a beautiful, really beautiful city. I can recommend. To anyone. To come, uh, visit Zurich, uh, uh, let me know, happy to show you around and of course, you know, you, you have the nature so close, you have the mountains so close, you have so, so beautiful lakes. Yeah. Um, I think that's what makes it such a livable city. Yeah.swyx [00:04:42]: Um, and the cost is not, it's not cheap, but I mean, we're in New York city right now and, uh, I don't know, I paid $8 for a coffee this morning, so, uh, the coffee is cheaper in Zurich than the New York city. Okay. Okay. Let's talk about Snipt. What is Snipt and, you know, then we'll talk about your origin story, but I just, let's, let's get a crisp, what is Snipt? Yeah.Kevin [00:05:03]: I always see two definitions of Snipt, so I'll give you one really simple, straightforward one, and then a second more nuanced, um, which I think will be valuable for the rest of our conversation. So the most simple one is just to say, look, we're an AI powered podcast app. So if you listen to podcasts, we're now providing this AI enhanced experience. But if you look at the more nuanced, uh, podcast. Uh, perspective, it's actually, we, we've have a very big focus on people who like your audience who listened to podcasts to learn something new. Like your audience, you want, they want to learn about AI, what's happening, what's, what's, what's the latest research, what's going on. And we want to provide a, a spoken audio platform where you can do that most effectively. And AI is basically the way that we can achieve that. Yeah.swyx [00:05:53]: Means to an end. Yeah, exactly. When you started. Was it always meant to be AI or is it, was it more about the social sharing?Kevin [00:05:59]: So the first version that we ever released was like three and a half years ago. Okay. Yeah. So this was before ChatGPT. Before Whisper. Yeah. Before Whisper. Yeah. So I think a lot of the features that we now have in the app, they weren't really possible yet back then. But we already from the beginning, we always had the focus on knowledge. That's the reason why, you know, we in our team, why we listen to podcasts, but we did have a bit of a different approach. Like the idea in the very beginning was, so the name is Snips and you can create these, what we call Snips, which is basically a small snippet, like a clip from a, from a podcast. And we did envision sort of like a, like a social TikTok platform where some people would listen to full episodes and they would snip certain, like the best parts of it. And they would post that in a feed and other users would consume this feed of Snips. And use that as a discovery tool or just as a means to an end. And yeah, so you would have both people who create Snips and people who listen to Snips. So our big hypothesis in the beginning was, you know, it will be easy to get people to listen to these Snips, but super difficult to actually get them to create them. So we focused a lot of, a lot of our effort on making it as seamless and easy as possible to create a Snip. Yeah.swyx [00:07:17]: It's similar to TikTok. You need CapCut for there to be videos on TikTok. Exactly.Kevin [00:07:23]: And so for, for Snips, basically whenever you hear an amazing insight, a great moment, you can just triple tap your headphones. And our AI actually then saves the moment that you just listened to and summarizes it to create a note. And this is then basically a Snip. So yeah, we built, we built all of this, launched it. And what we found out was basically the exact opposite. So we saw that people use the Snips to discover podcasts, but they really, you know, they don't. You know, really love listening to long form podcasts, but they were creating Snips like crazy. And this was, this was definitely one of these aha moments when we realized like, hey, we should be really doubling down on the knowledge of learning of, yeah, helping you learn most effectively and helping you capture the knowledge that you listen to and actually do something with it. Because this is in general, you know, we, we live in this world where there's so much content and we consume and consume and consume. And it's so easy to just at the end of the podcast. You just start listening to the next podcast. And five minutes later, you've forgotten everything. 90%, 99% of what you've actually just learned. Yeah.swyx [00:08:31]: You don't know this, but, and most people don't know this, but this is my fourth podcast. My third podcast was a personal mixtape podcast where I Snipped manually sections of podcasts that I liked and added my own commentary on top of them and published them as small episodes. Nice. So those would be maybe five to 10 minute Snips. Yeah. And then I added something that I thought was a good story or like a good insight. And then I added my own commentary and published it as a separate podcast. It's cool. Is that still live? It's still live, but it's not active, but you can go back and find it. If you're, if, if you're curious enough, you'll see it. Nice. Yeah. You have to show me later. It was so manual because basically what my process would be, I hear something interesting. I note down the timestamp and I note down the URL of the podcast. I used to use Overcast. So it would just link to the Overcast page. And then. Put in my note taking app, go home. Whenever I feel like publishing, I will take one of those things and then download the MP3, clip out the MP3 and record my intro, outro and then publish it as a, as a podcast. But now Snips, I mean, I can just kind of double click or triple tap.Kevin [00:09:39]: I mean, those are very similar stories to what we hear from our users. You know, it's, it's normal that you're doing, you're doing something else while you're listening to a podcast. Yeah. A lot of our users, they're driving, they're working out, walking their dog. So in those moments when you hear something amazing, it's difficult to just write them down or, you know, you have to take out your phone. Some people take a screenshot, write down a timestamp, and then later on you have to go back and try to find it again. Of course you can't find it anymore because there's no search. There's no command F. And, um, these, these were all of the issues that, that, that we encountered also ourselves as users. And given that our background was in AI, we realized like, wait, hey, this is. This should not be the case. Like podcast apps today, they're still, they're basically repurposed music players, but we actually look at podcasts as one of the largest sources of knowledge in the world. And once you have that different angle of looking at it together with everything that AI is now enabling, you realize like, hey, this is not the way that we, that podcast apps should be. Yeah.swyx [00:10:41]: Yeah. I agree. You mentioned something that you said your background is in AI. Well, first of all, who's the team and what do you mean your background is in AI?Kevin [00:10:48]: Those are two very different things. I'm going to ask some questions. Yeah. Um, maybe starting with, with my backstory. Yeah. My backstory actually goes back, like, let's say 12 years ago or something like that. I moved to Zurich to study at ETH and actually I studied something completely different. I studied mathematics and economics basically with this specialization for quant finance. Same. Okay. Wow. All right. So yeah. And then as you know, all of these mathematical models for, um, asset pricing, derivative pricing, quantitative trading. And for me, the thing that, that fascinates me the most was the mathematical modeling behind it. Uh, mathematics, uh, statistics, but I was never really that passionate about the finance side of things.swyx [00:11:32]: Oh really? Oh, okay. Yeah. I mean, we're different there.Kevin [00:11:36]: I mean, one just, let's say symptom that I noticed now, like, like looking back during that time. Yeah. I think I never read an academic paper about the subject in my free time. And then it was towards the end of my studies. I was already working for a big bank. One of my best friends, he comes to me and says, Hey, I just took this course. You have to, you have to do this. You have to take this lecture. Okay. And I'm like, what, what, what is it about? It's called machine learning and I'm like, what, what, what kind of stupid name is that? Uh, so you sent me the slides and like over a weekend I went through all of the slides and I just, I just knew like freaking hell. Like this is it. I'm, I'm in love. Wow. Yeah. Okay. And that was then over the course of the next, I think like 12 months, I just really got into it. Started reading all about it, like reading blog posts, starting building my own models.swyx [00:12:26]: Was this course by a famous person, famous university? Was it like the Andrew Wayne Coursera thing? No.Kevin [00:12:31]: So this was a ETH course. So a professor at ETH. Did he teach in English by the way? Yeah. Okay.swyx [00:12:37]: So these slides are somewhere available. Yeah. Definitely. I mean, now they're quite outdated. Yeah. Sure. Well, I think, you know, reflecting on the finance thing for a bit. So I, I was, used to be a trader, uh, sell side and buy side. I was options trader first and then I was more like a quantitative hedge fund analyst. We never really use machine learning. It was more like a little bit of statistical modeling, but really like you, you fit, you know, your regression.Kevin [00:13:03]: No, I mean, that's, that's what it is. And, uh, or you, you solve partial differential equations and have then numerical methods to, to, to solve these. That's, that's for you. That's your degree. And that's, that's not really what you do at work. Right. Unless, well, I don't know what you do at work. In my job. No, no, we weren't solving the partial differential. Yeah.swyx [00:13:18]: You learn all this in school and then you don't use it.Kevin [00:13:20]: I mean, we, we, well, let's put it like that. Um, in some things, yeah, I mean, I did code algorithms that would do it, but it was basically like, it was the most basic algorithms and then you just like slightly improve them a little bit. Like you just tweak them here and there. Yeah. It wasn't like starting from scratch, like, Oh, here's this new partial differential equation. How do we know?swyx [00:13:43]: Yeah. Yeah. I mean, that's, that's real life, right? Most, most of it's kind of boring or you're, you're using established things because they're established because, uh, they tackle the most important topics. Um, yeah. Portfolio management was more interesting for me. Um, and, uh, we, we were sort of the first to combine like social data with, with quantitative trading. And I think, uh, I think now it's very common, but, um, yeah. Anyway, then you, you went, you went deep on machine learning and then what? You quit your job? Yeah. Yeah. Wow.Kevin [00:14:12]: I quit my job because, uh, um, I mean, I started using it at the bank as well. Like try, like, you know, I like desperately tried to find any kind of excuse to like use it here or there, but it just was clear to me, like, no, if I want to do this, um, like I just have to like make a real cut. So I quit my job and joined an early stage, uh, tech startup in Zurich where then built up the AI team over five years. Wow. Yeah. So yeah, we built various machine learning, uh, things for, for banks from like models for, for sales teams to identify which clients like which product to sell to them and with what reasons all the way to, we did a lot, a lot with bank transactions. One of the actually most fun projects for me was we had an, an NLP model that would take the booking text of a transaction, like a credit card transaction and pretty fired. Yeah. Because it had all of these, you know, like numbers in there and abbreviations and whatnot. And sometimes you look at it like, what, what is this? And it was just, you know, it would just change it to, I don't know, CVS. Yeah.swyx [00:15:15]: Yeah. But I mean, would you have hallucinations?Kevin [00:15:17]: No, no, no. The way that everything was set up, it wasn't like, it wasn't yet fully end to end generative, uh, neural network as what you would use today. Okay.swyx [00:15:30]: Awesome. And then when did you go like full time on Snips? Yeah.Kevin [00:15:33]: So basically that was, that was afterwards. I mean, how that started was the friend of mine who got me into machine learning, uh, him and I, uh, like he also got me interested into startups. He's had a big impact on my life. And the two of us were just a jam on, on like ideas for startups every now and then. And his background was also in AI data science. And we had a couple of ideas, but given that we were working full times, we were thinking about, uh, so we participated in Hack Zurich. That's, uh, Europe's biggest hackathon, um, or at least was at the time. And we said, Hey, this is just a weekend. Let's just try out an idea, like hack something together and see how it works. And the idea was that we'd be able to search through podcast episodes, like within a podcast. Yeah. So we did that. Long story short, uh, we managed to do it like to build something that we realized, Hey, this actually works. You can, you can find things again in podcasts. We had like a natural language search and we pitched it on stage. And we actually won the hackathon, which was cool. I mean, we, we also, I think we had a good, um, like a good, good pitch or a good example. So we, we used the famous Joe Rogan episode with Elon Musk where Elon Musk smokes a joint. Okay. Um, it's like a two and a half hour episode. So we were on stage and then we just searched for like smoking weed and it would find that exact moment. It will play it. And it just like, come on with Elon Musk, just like smoking. Oh, so it was video as well? No, it was actually completely based on audio. But we did have the video for the presentation. Yeah. Which had a, had of course an amazing effect. Yeah. Like this gave us a lot of activation energy, but it wasn't actually about winning the hackathon. Yeah. But the interesting thing that happened was after we pitched on stage, several of the other participants, like a lot of them came up to us and started saying like, Hey, can I use this? Like I have this issue. And like some also came up and told us about other problems that they have, like very adjacent to this with a podcast. Where's like, like this. Like, could, could I use this for that as well? And that was basically the, the moment where I realized, Hey, it's actually not just us who are having these issues with, with podcasts and getting to the, making the most out of this knowledge. Yeah. The other people. Yeah. That was now, I guess like four years ago or something like that. And then, yeah, we decided to quit our jobs and start, start this whole snip thing. Yeah. How big is the team now? We're just four people. Yeah. Just four people. Yeah. Like four. We're all technical. Yeah. Basically two on the, the backend side. So one of my co-founders is this person who got me into machine learning and startups. And we won the hackathon together. So we have two people for the backend side with the AI and all of the other backend things. And two for the front end side, building the app.swyx [00:18:18]: Which is mostly Android and iOS. Yeah.Kevin [00:18:21]: It's iOS and Android. We also have a watch app for, for Apple, but yeah, it's mostly iOS. Yeah.swyx [00:18:27]: The watch thing, it was very funny because in the, in the Latent Space discord, you know, most of us have been slowly adopting snips. You came to me like a year ago and you introduced snip to me. I was like, I don't know. I'm, you know, I'm very sticky to overcast and then slowly we switch. Why watch?Kevin [00:18:43]: So it goes back to a lot of our users, they do something else while, while listening to a podcast, right? Yeah. And one of the, us giving them the ability to then capture this knowledge, even though they're doing something else at the same time is one of the killer features. Yeah. Maybe I can actually, maybe at some point I should maybe give a bit more of an overview of what the, all of the features that we have. Sure. So this is one of the killer features and for one big use case that people use this for is for running. Yeah. So if you're a big runner, a big jogger or cycling, like really, really cycling competitively and a lot of the people, they don't want to take their phone with them when they go running. So you load everything onto the watch. So you can download episodes. I mean, if you, if you have an Apple watch that has internet access, like with a SIM card, you can also directly stream. That's also possible. Yeah. So of course it's a, it's basically very limited to just listening and snipping. And then you can see all of your snips later on your phone. Let me tell you this error I just got.swyx [00:19:47]: Error playing episode. Substack, the host of this podcast, does not allow this podcast to be played on an Apple watch. Yeah.Kevin [00:19:52]: That's a very beautiful thing. So we found out that all of the podcasts hosted on Substack, you cannot play them on an Apple watch. Why is this restriction? What? Like, don't ask me. We try to reach out to Substack. We try to reach out to some of the bigger podcasters who are hosting the podcast on Substack to also let them know. Substack doesn't seem to care. This is not specific to our app. You can also check out the Apple podcast app. Yeah. It's the same problem. It's just that we actually have identified it. And we tell the user what's going on.swyx [00:20:25]: I would say we host our podcast on Substack, but they're not very serious about their podcasting tools. I've told them before, I've been very upfront with them. So I don't feel like I'm shitting on them in any way. And it's kind of sad because otherwise it's a perfect creative platform. But the way that they treat podcasting as an afterthought, I think it's really disappointing.Kevin [00:20:45]: Maybe given that you mentioned all these features, maybe I can give a bit of a better overview of the features that we have. Let's do that. Let's do that. So I think we're mostly in our minds. Maybe for some of the listeners.swyx [00:20:55]: I mean, I'll tell you my version. Yeah. They can correct me, right? So first of all, I think the main job is for it to be a podcast listening app. It should be basically a complete superset of what you normally get on Overcast or Apple Podcasts or anything like that. You pull your show list from ListenNotes. How do you find shows? You've got to type in anything and you find them, right?Kevin [00:21:18]: Yeah. We have a search engine that is powered by ListenNotes. Yeah. But I mean, in the meantime, we have a huge database of like 99% of all podcasts out there ourselves. Yeah.swyx [00:21:27]: What I noticed, the default experience is you do not auto-download shows. And that's one very big difference for you guys versus other apps, where like, you know, if I'm subscribed to a thing, it auto-downloads and I already have the MP3 downloaded overnight. For me, I have to actively put it onto my queue, then it auto-downloads. And actually, I initially didn't like that. I think I maybe told you that I was like, oh, it's like a feature that I don't like. Like, because it means that I have to choose to listen to it in order to download and not to... It's like opt-in. There's a difference between opt-in and opt-out. So I opt-in to every episode that I listen to. And then, like, you know, you open it and depends on whether or not you have the AI stuff enabled. But the default experience is no AI stuff enabled. You can listen to it. You can see the snips, the number of snips and where people snip during the episode, which roughly correlates to interest level. And obviously, you can snip there. I think that's the default experience. I think snipping is really cool. Like, I use it to share a lot on Discord. I think we have tons and tons of just people sharing snips and stuff. Tweeting stuff is also like a nice, pleasant experience. But like the real features come when you actually turn on the AI stuff. And so the reason I got snipped, because I got fed up with Overcast not implementing any AI features at all. Instead, they spent two years rewriting their app to be a little bit faster. And I'm like, like, it's 2025. I should have a podcast that has transcripts that I can search. Very, very basic thing. Overcast will basically never have it.Kevin [00:22:49]: Yeah, I think that was a good, like, basic overview. Maybe I can add a bit to it with the AI features that we have. So one thing that we do every time a new podcast comes out, we transcribe the episode. We do speaker diarization. We identify the speaker names. Each guest, we extract a mini bio of the guest, try to find a picture of the guest online, add it. We break the podcast down into chapters, as in AI generated chapters. That one. That one's very handy. With a quick description per title and quick description per each chapter. We identify all books that get mentioned on a podcast. You can tell I don't use that one. It depends on the podcast. There are some podcasts where the guests often recommend like an amazing book. So later on, you can you can find that again.swyx [00:23:42]: So you literally search for the word book or I just read blah, blah, blah.Kevin [00:23:46]: No, I mean, it's all LLM based. Yeah. So basically, we have we have an LLM that goes through the entire transcript and identifies if a user mentions a book, then we use perplexity API together with various other LLM orchestration to go out there on the Internet, find everything that there is to know about the book, find the cover, find who or what the author is, get a quick description of it for the author. We then check on which other episodes the author appeared on.swyx [00:24:15]: Yeah, that is killer.Kevin [00:24:17]: Because that for me, if. If there's an interesting book, the first thing I do is I actually listen to a podcast episode with a with a writer because he usually gives a really great overview already on a podcast.swyx [00:24:28]: Sometimes the podcast is with the person as a guest. Sometimes his podcast is about the person without him there. Do you pick up both?Kevin [00:24:37]: So, yes, we pick up both in like our latest models. But actually what we show you in the app, the goal is to currently only show you the guest to separate that. In the future, we want to show the other things more.swyx [00:24:47]: For what it's worth, I don't mind. Yeah, I don't think like if I like if I like somebody, I'll just learn about them regardless of whether they're there or not.Kevin [00:24:55]: Yeah, I mean, yes and no. We we we have seen there are some personalities where this can break down. So, for example, the first version that we released with this feature, it picked up much more often a person, even if it was not a guest. Yeah. For example, the best examples for me is Sam Altman and Elon Musk. Like they're just mentioned on every second podcast and it has like they're not on there. And if you're interested in it, you can go to Elon Musk. And actually like learning from them. Yeah, I see. And yeah, we updated our our algorithms, improved that a lot. And now it's gotten much better to only pick it up if they're a guest. And yeah, so this this is maybe to come back to the features, two more important features like we have the ability to chat with an episode. Yes. Of course, you can do the old style of searching through a transcript with a keyword search. But I think for me, this is this is how you used to do search and extracting knowledge in the in the past. Old school. And the A.I. Web. Way is is basically an LLM. So you can ask the LLM, hey, when do they talk about topic X? If you're interested in only a certain part of the episode, you can ask them for four to give a quick overview of the episode. Key takeaways afterwards also to create a note for you. So this is really like very open, open ended. And yeah. And then finally, the snipping feature that we mentioned just to reiterate. Yeah. I mean, here the the feature is that whenever you hear an amazing idea, you can trip. It's up your headphones or click a button in the app and the A.I. summarizes the insight you just heard and saves that together with the original transcript and audio in your knowledge library. I also noticed that you you skip dynamic content. So dynamic content, we do not skip it automatically. Oh, sorry. You detect. But we detect it. Yeah. I mean, that's one of the thing that most people don't don't actually know that like the way that ads get inserted into podcasts or into most podcasts is actually that every time you listen. To a podcast, you actually get access to a different audio file and on the server, a different ad is inserted into the MP3 file automatically. Yeah. Based on IP. Exactly. And that's what that means is if we transcribe an episode and have a transcript with timestamps like words, word specific timestamps, if you suddenly get a different audio file, like the whole time says I messed up and that's like a huge issue. And for that, we actually had to build another algorithm that would dynamically on the floor. I re sync the audio that you're listening to the transcript that we have. Yeah. Which is a fascinating problem in and of itself.swyx [00:27:24]: You sync by matching up the sound waves? Or like, or do you sync by matching up words like you basically do partial transcription?Kevin [00:27:33]: We are not matching up words. It's happening on the basically a bytes level matching. Yeah. Okay.swyx [00:27:40]: It relies on this. It relies on the exact match at some point.Kevin [00:27:46]: So it's actually. We're actually not doing exact matches, but we're doing fuzzy matches to identify the moment. It's basically, we basically built Shazam for podcasts. Just as a little side project to solve this issue.swyx [00:28:02]: Actually, fun fact, apparently the Shazam algorithm is open. They published the paper, it's talked about it. I haven't really dived into the paper. I thought it was kind of interesting that basically no one else has built Shazam.Kevin [00:28:16]: Yeah, I mean, well, the one thing is the algorithm. If you now talk about Shazam, the other thing is also having the database behind it and having the user mindset that if they have this problem, they come to you, right?swyx [00:28:29]: Yeah, I'm very interested in the tech stack. There's a big data pipeline. Could you share what is the tech stack?Kevin [00:28:35]: What are the most interesting or challenging pieces of it? So the general tech stack is our entire backend is, or 90% of our backend is written in Python. Okay. Hosting everything on Google Cloud Platform. And our front end is written with, well, we're using the Flutter framework. So it's written in Dart and then compiled natively. So we have one code base that handles both Android and iOS. You think that was a good decision? It's something that a lot of people are exploring. So up until now, yes. Okay. Look, it has its pros and cons. Some of the, you know, for example, earlier, I mentioned we have a Apple Watch app. Yeah. I mean, there's no Flutter for that, right? So that you build native. And then of course you have to sort of like sync these things together. I mean, I'm not the front end engineer, so I'm not just relaying this information, but our front end engineers are very happy with it. It's enabled us to be quite fast and be on both platforms from the very beginning. And when I talk with people and they hear that we are using Flutter, usually they think like, ah, it's not performant. It's super junk, janky and everything. And then they use it. They use our app and they're always super surprised. Or if they've already used our app, I couldn't tell them. They're like, what? Yeah. Um, so there is actually a lot that you can do with it.swyx [00:29:51]: The danger, the concern, there's a few concerns, right? One, it's Google. So when were they, when are they going to abandon it? Two, you know, they're optimized for Android first. So iOS is like a second, second thought, or like you can feel that it is not a native iOS app. Uh, but you guys put a lot of care into it. And then maybe three, from my point of view, JavaScript, as a JavaScript guy, React Native was supposed to be there. And I think that it hasn't really fulfilled that dream. Um, maybe Expo is trying to do that, but, um, again, it is not, does not feel as productive as Flutter. And I've, I spent a week on Flutter and dot, and I'm an investor in Flutter flow, which is the local, uh, Flutter, Flutter startup. That's doing very, very well. I think a lot of people are still Flutter skeptics. Yeah. Wait. So are you moving away from Flutter?Kevin [00:30:41]: I don't know. We don't have plans to do that. Yeah.swyx [00:30:43]: You're just saying about that. What? Yeah. Watch out. Okay. Let's go back to the stack.Kevin [00:30:47]: You know, that was just to give you a bit of an overview. I think the more interesting things are, of course, on the AI side. So we, like, as I mentioned earlier, when we started out, it was before chat GPT for the chat GPT moment before there was the GPT 3.5 turbo, uh, API. So in the beginning, we actually were running everything ourselves, open source models, try to fine tune them. They worked. There was us, but let's, let's be honest. They weren't. What was the sort of? Before Whisper, the transcription. Yeah, we were using wave to work like, um, there was a Google one, right? No, it was a Facebook, Facebook one. That was actually one of the papers. Like when that came out for me, that was one of the reasons why I said we, we should try something to start a startup in the audio space. For me, it was a bit like before that I had been following the NLP space, uh, quite closely. And as, as I mentioned earlier, we, we did some stuff at the startup as well, that I was working up. But before, and wave to work was the first paper that I had at least seen where the whole transformer architecture moved over to audio and bit more general way of saying it is like, it was the first time that I saw the transformer architecture being applied to continuous data instead of discrete tokens. Okay. And it worked amazingly. Ah, and like the transformer architecture plus self-supervised learning, like these two things moved over. And then for me, it was like, Hey, this is now going to take off similarly. It's the text space has taken off. And with these two things in place, even if some features that we want to build are not possible yet, they will be possible in the near term, uh, with this, uh, trajectory. So that was a little side, side note. No, it's in the meantime. Yeah. We're using whisper. We're still hosting some of the models ourselves. So for example, the whole transcription speaker diarization pipeline, uh,swyx [00:32:38]: You need it to be as cheap as possible.Kevin [00:32:40]: Yeah, exactly. I mean, we're doing this at scale where we have a lot of audio.swyx [00:32:44]: We're what numbers can you disclose? Like what, what are just to give people an idea because it's a lot. So we have more than a million podcasts that we've already processed when you say a million. So processing is basically, you have some kind of list of podcasts that you will auto process and others where a paying pay member can choose to press the button and transcribe it. Right. Is that the rough idea? Yeah, exactly.Kevin [00:33:08]: Yeah. And if, when you press that button or we also transcribe it. Yeah. So first we do the, we do the transcription. We do the. The, the speaker diarization. So basically you identify speech blocks that belong to the same speaker. This is then all orchestrated within, within LLM to identify which speech speech block belongs to which speaker together with, you know, we identify, as I mentioned earlier, we identify the guest name and the bio. So all of that comes together with an LLM to actually then assign assigned speaker names to, to each block. Yeah. And then most of the rest of the, the pipeline we've now used, we've now migrated to LLM. So we use mainly open AI, Google models, so the Gemini models and the open AI models, and we use some perplexity basically for those things where we need, where we need web search. Yeah. That's something I'm still hoping, especially open AI will also provide us an API. Oh, why? Well, basically for us as a consumer, the more providers there are.swyx [00:34:07]: The more downtime.Kevin [00:34:08]: The more competition and it will lead to better, better results. And, um, lower costs over time. I don't, I don't see perplexity as expensive. If you use the web search, the price is like $5 per a thousand queries. Okay. Which is affordable. But, uh, if you compare that to just a normal LLM call, um, it's, it's, uh, much more expensive. Have you tried Exa? We've, uh, looked into it, but we haven't really tried it. Um, I mean, we, we started with perplexity and, uh, it works, it works well. And if I remember. Correctly, Exa is also a bit more expensive.swyx [00:34:45]: I don't know. I don't know. They seem to focus on the search thing as a search API, whereas perplexity, maybe more consumer-y business that is higher, higher margin. Like I'll put it like perplexity is trying to be a product, Exa is trying to be infrastructure. Yeah. So that, that'll be my distinction there. And then the other thing I will mention is Google has a search grounding feature. Yeah. Which you, which you might want. Yeah.Kevin [00:35:07]: Yeah. We've, uh, we've also tried that out. Um, not as good. So we, we didn't, we didn't go into. Too much detail in like really comparing it, like quality wise, because we actually already had the perplexity one and it, and it's, and it's working. Yeah. Um, I think also there, the price is actually higher than perplexity. Yeah. Really? Yeah.swyx [00:35:26]: Google should cut their prices.Kevin [00:35:29]: Maybe it was the same price. I don't want to say something incorrect, but it wasn't cheaper. It wasn't like compelling. And then, then there was no reason to switch. So, I mean, maybe like in general, like for us, given that we do work with a lot of content, price is actually something that we do look at. Like for us, it's not just about taking the best model for every task, but it's really getting the best, like identifying what kind of intelligence level you need and then getting the best price for that to be able to really scale this and, and provide us, um, yeah, let our users use these features with as many podcasts as possible. Yeah.swyx [00:36:03]: I wanted to double, double click on diarization. Yeah. Uh, it's something that I don't think people do very well. So you know, I'm, I'm a, I'm a B user. I don't have it right now. And, and they were supposed to speak, but they dropped out last minute. Um, but, uh, we've had them on the podcast before and it's not great yet. Do you use just PI Anode, the default stuff, or do you find any tricks for diarization?Kevin [00:36:27]: So we do use the, the open source packages, but we have tweaked it a bit here and there. For example, if you mentioned the BAI guys, I actually listened to the podcast episode was super nice. Thank you. And when you started talking about speaker diarization, and I just have to think about, uh, I don't know.Kevin [00:36:49]: Is it possible? I don't know. I don't know. F**k this. Yeah, no, I don't know.Kevin [00:36:55]: Yeah. We are the best. This is a.swyx [00:37:07]: I don't know. This is the best. I don't know. This is the best. Yeah. Yeah. Yeah. You're doing good.Kevin [00:37:12]: So, so yeah. This is great. This is good. Yeah. No, so that of course helps us. Another thing that helps us is that we know certain structural aspects of the podcast. For example, how often does someone speak? Like if someone, like let's say there's a one hour episode and someone speaks for 30 seconds, that person is most probably not the guest and not the host. It's probably some ad, like some speaker from an ad. So we have like certain of these heuristics that we can use and we leverage to improve things. And in the past, we've also changed the clustering algorithm. So basically how a lot of the speaker diarization works is you basically create an embedding for the speech that's happening. And then you try to somehow cluster these embeddings and then find out this is all one speaker. This is all another speaker. And there we've also tweaked a couple of things where we again used heuristics that we could apply from knowing how podcasts function. And that's also actually why I was feeling so much with the BAI guys, because like all of these heuristics, like for them, it's probably almost impossible to use any heuristics because it can just be any situation, anything.Kevin [00:38:34]: So that's one thing that we do. Yeah, another thing is that we actually combine it with LLM. So the transcript, LLMs and the speaker diarization, like bringing all of these together to recalibrate some of the switching points. Like when does the speaker stop? When does the next one start?swyx [00:38:51]: The LLMs can add errors as well. You know, I wouldn't feel safe using them to be so precise.Kevin [00:38:58]: I mean, at the end of the day, like also just to not give a wrong impression, like the speaker diarization is also not perfect that we're doing, right? I basically don't really notice it.swyx [00:39:08]: Like I use it for search.Kevin [00:39:09]: Yeah, it's not perfect yet, but it's gotten quite good. Like, especially if you compare, if you look at some of the, like if you take a latest episode and you compare it to an episode that came out a year ago, we've improved it quite a bit.swyx [00:39:23]: Well, it's beautifully presented. Oh, I love that I can click on the transcript and it goes to the timestamp. So simple, but you know, it should exist. Yeah, I agree. I agree. So this, I'm loading a two hour episode of Detect Me Right Home, where there's a lot of different guests calling in and you've identified the guest name. And yeah, so these are all LLM based. Yeah, it's really nice.Kevin [00:39:49]: Yeah, like the speaker names.swyx [00:39:50]: I would say that, you know, obviously I'm a power user of all these tools. You have done a better job than Descript. Okay, wow. Descript is so much funding. They had their open AI invested in them and they still suck. So I don't know, like, you know, keep going. You're doing great. Yeah, thanks. Thanks.Kevin [00:40:12]: I mean, I would, I would say that, especially for anyone listening who's interested in building a consumer app with AI, I think the, like, especially if your background is in AI and you love working with AI and doing all of that, I think the most important thing is just to keep reminding yourself of what's actually the job to be done here. Like, what does actually the consumer want? Like, for example, you now were just delighted by the ability to click on this word and it jumps there. Yeah. Like, this is not, this is not rocket science. This is, like, you don't have to be, like, I don't know, Android Kapathi to come up with that and build that, right? And I think that's, that's something that's super important to keep in mind.swyx [00:40:52]: Yeah, yeah. Amazing. I mean, there's so many features, right? It's, it's so packed. There's quotes that you pick up. There's summarization. Oh, by the way, I'm going to use this as my official feature request. I want to customize what, how it's summarized. I want to, I want to have a custom prompt. Yeah. Because your summarization is good, but, you know, I have different preferences, right? Like, you know.Kevin [00:41:14]: So one thing that you can already do today, I completely get your feature request. And I think it just.swyx [00:41:18]: I'm sure people have asked it.Kevin [00:41:19]: I mean, maybe just in general as a, as a, how I see the future, you know, like in the future, I think all, everything will be personalized. Yeah, yeah. Like, not, this is not specific to us. Yeah. And today we're still in a, in a phase where the cost of LLMs, at least if you're working with, like, such long context windows. As us, I mean, there's a lot of tokens in, if you take an entire podcast, so you still have to take that cost into consideration. So if for every single user, we regenerate it entirely, it gets expensive. But in the future, this, you know, cost will continue to go down and then it will just be personalized. So that being said, you can already today, if you go to the player screen. Okay. And open up the chat. Yeah. You can go to the, to the chat. Yes. And just ask for a summary in your style.swyx [00:42:13]: Yeah. Okay. I mean, I, I listen to consume, you know? Yeah. Yeah. I, I've never really used this feature. I don't know. I think that's, that's me being a slow adopter. No, no. I mean, that's. It has, when does the conversation start? Okay.Kevin [00:42:26]: I mean, you can just type anything. I think what you're, what you're describing, I mean, maybe that is also an interesting topic to talk about. Yes. Where, like, basically I told you, like, look, we have this chat. You can just ask for it. Yeah. And this is, this is how ChatGPT works today. But if you're building a consumer app, you have to move beyond the chat box. People do not want to always type out what they want. So your feature request was, even though theoretically it's already possible, what you are actually asking for is, hey, I just want to open up the app and it should just be there in a nicely formatted way. Beautiful way such that I can read it or consume it without any issues. Interesting. And I think that's in general where a lot of the, the. Opportunities lie currently in the market. If you want to build a consumer app, taking the capability and the intelligence, but finding out what the actual user interface is the best way how a user can engage with this intelligence in a natural way.swyx [00:43:24]: Is this something I've been thinking about as kind of like AI that's not in your face? Because right now, you know, we like to say like, oh, use Notion has Notion AI. And we have the little thing there. And there's, or like some other. Any other platform has like the sparkle magic wand emoji, like that's our AI feature. Use this. And it's like really in your face. A lot of people don't like it. You know, it should just kind of become invisible, kind of like an invisible AI.Kevin [00:43:49]: 100%. I mean, the, the way I see it as AI is, is the electricity of, of the future. And like no one, like, like we don't talk about, I don't know, this, this microphone uses electricity, this phone, you don't think about it that way. It's just in there, right? It's not an electricity enabled product. No, it's just a product. Yeah. It will be the same with AI. I mean, now. It's still a, something that you use to market your product. I mean, we do, we do the same, right? Because it's still something that people realize, ah, they're doing something new, but at some point, no, it'll just be a podcast app and it will be normal that it has all of this AI in there.swyx [00:44:24]: I noticed you do something interesting in your chat where you source the timestamps. Yeah. Is that part of this prompt? Is there a separate pipeline that adds source sources?Kevin [00:44:33]: This is, uh, actually part of the prompt. Um, so this is all prompt engine. Engineering, um, uh, you should be able to click on it. Yeah, I clicked on it. Um, this is all prompt engineering with how to provide the, the context, you know, we, because we provide all of the transcript, how to provide the context and then, yeah, I get them all to respond in a correct way with a certain format and then rendering that on the front end. This is one of the examples where I would say it's so easy to create like a quick demo of this. I mean, you can just go to chat to be deep, paste this thing in and say like, yeah, do this. Okay. Like 15 minutes and you're done. Yeah. But getting this to like then production level that it actually works 99% of the time. Okay. This is then where, where the difference lies. Yeah. So, um, for this specific feature, like we actually also have like countless regexes that they're just there to correct certain things that the LLM is doing because it doesn't always adhere to the format correctly. And then it looks super ugly on the front end. So yeah, we have certain regexes that correct that. And maybe you'd ask like, why don't you use an LLM for that? Because that's sort of the, again, the AI native way, like who uses regexes anymore. But with the chat for user experience, it's very important that you have the streaming because otherwise you need to wait so long until your message has arrived. So we're streaming live the, like, just like ChatGPT, right? You get the answer and it's streaming the text. So if you're streaming the text and something is like incorrect. It's currently not easy to just like pipe, like stream this into another stream, stream this into another stream and get the stream back, which corrects it, that would be amazing. I don't know, maybe you can answer that. Do you know of any?swyx [00:46:19]: There's no API that does this. Yeah. Like you cannot stream in. If you own the models, you can, uh, you know, whatever token sequence has, has been emitted, start loading that into the next one. If you fully own the models, uh, I don't, it's probably not worth it. That's what you do. It's better. Yeah. I think. Yeah. Most engineers who are new to AI research and benchmarking actually don't know how much regexing there is that goes on in normal benchmarks. It's just like this ugly list of like a hundred different, you know, matches for some criteria that you're looking for. No, it's very cool. I think it's, it's, it's an example of like real world engineering. Yeah. Do you have a tooling that you're proud of that you've developed for yourself?Kevin [00:47:02]: Is it just a test script or is it, you know? I think it's a bit more, I guess the term that has come up is, uh, vibe coding, uh, vibe coding, some, no, sorry, that's actually something else in this case, but, uh, no, no, yes, um, vibe evals was a term that in one of the talks actually on, on, um, I think it might've been the first, the first or the first day at the conference, someone brought that up. Yeah. Uh, because yeah, a lot of the talks were about evals, right. Which is so important. And yeah, I think for us, it's a bit more vibe. Evals, you know, that's also part of, you know, being a startup, we can take risks, like we can take the cost of maybe sometimes it failing a little bit or being a little bit off and our users know that and they appreciate that in return, like we're moving fast and iterating and building, building amazing things, but you know, a Spotify or something like that, half of our features will probably be in a six month review through legal or I don't know what, uh, before they could sell them out.swyx [00:48:04]: Let's just say Spotify is not very good at podcasting. Um, I have a documented, uh, dislike for, for their podcast features, just overall, really, really well integrated any other like sort of LLM focused engineering challenges or problems that you, that you want to highlight.Kevin [00:48:20]: I think it's not unique to us, but it goes again in the direction of handling the uncertainty of LLMs. So for example, with last year, at the end of the year, we did sort of a snipped wrapped. And one of the things we thought it would be fun to, just to do something with, uh, with an LLM and something with the snips that, that a user has. And, uh, three, let's say unique LLM features were that we assigned a personality to you based on the, the snips that, that you have. It was, I mean, it was just all, I guess, a bit of a fun, playful way. I'm going to look up mine. I forgot mine already.swyx [00:48:57]: Um, yeah, I don't know whether it's actually still in the, in the, we all took screenshots of it.Kevin [00:49:01]: Ah, we posted it in the, in the discord. And the, the second one, it was, uh, we had a learning scorecard where we identified the topics that you snipped on the most, and you got like a little score for that. And the third one was a, a quote that stood out. And the quote is actually a very good example of where we would run that for user. And most of the time it was an interesting quote, but every now and then it was like a super boring quotes that you think like, like how, like, why did you select that? Like, come on for there. The solution was actually just to say, Hey, give me five. So it extracted five quotes as a candidate, and then we piped it into a different model as a judge, LLM as a judge, and there we use a, um, a much better model because with the, the initial model, again, as, as I mentioned also earlier, we do have to look at the, like the, the costs because it's like, we have so much text that goes into it. So we, there we use a bit more cheaper model, but then the judge can be like a really good model to then just choose one out of five. This is a practical example.swyx [00:50:03]: I can't find it. Bad search in discord. Yeah. Um, so, so you do recommend having a much smarter model as a judge, uh, and that works for you. Yeah. Yeah. Interesting. I think this year I'm very interested in LM as a judge being more developed as a concept, I think for things like, you know, snips, raps, like it's, it's fine. Like, you know, it's, it's, it's, it's entertaining. There's no right answer.Kevin [00:50:29]: I mean, we also have it. Um, we also use the same concept for our books feature where we identify the, the mention. Books. Yeah. Because there it's the same thing, like 90% of the time it, it works perfectly out of the box one shot and every now and then it just, uh, starts identifying books that were not really mentioned or that are not books or made, yeah, starting to make up books. And, uh, they are basically, we have the same thing of like another LLM challenging it. Um, yeah. And actually with the speakers, we do the same now that I think about it. Yeah. Um, so I'm, I think it's a, it's a great technique. Interesting.swyx [00:51:05]: You run a lot of calls.Kevin [00:51:07]: Yeah.swyx [00:51:08]: Okay. You know, you mentioned costs. You move from self hosting a lot of models to the, to the, you know, big lab models, open AI, uh, and Google, uh, non-topic.Kevin [00:51:18]: Um, no, we love Claude. Like in my opinion, Claude is the, the best one when it comes to the way it formulates things. The personality. Yeah. The personality. Okay. I actually really love it. But yeah, the cost is. It's still high.swyx [00:51:36]: So you cannot, you tried Haiku, but you're, you're like, you have to have Sonnet.Kevin [00:51:40]: Uh, like basically we like with Haiku, we haven't experimented too much. We obviously work a lot with 3.5 Sonnet. Uh, also, you know, coding. Yeah. For coding, like in cursor, just in general, also brainstorming. We use it a lot. Um, I think it's a great brainstorm partner, but yeah, with, uh, with, with a lot of things that we've done done, we opted for different models.swyx [00:52:00]: What I'm trying to drive at is how much cheaper can you get if you go from cloud to cloud? Closed models to open models. And maybe it's like 0% cheaper, maybe it's 5% cheaper, or maybe it's like 50% cheaper. Do you have a sense?Kevin [00:52:13]: It's very difficult to, to judge that. I don't really have a sense, but I can, I can give you a couple of thoughts that have gone through our minds over the time, because obviously we do realize like, given that we, we have a couple of tasks where there are just so many tokens going in, um, at some point it will make sense to, to offload some of that. Uh, to an open source model, but going back to like, we're, we're a startup, right? Like we're not an AI lab or whatever, like for us, actually the most important thing is to iterate fast because we need to learn from our users, improve that. And yeah, just this velocity of this, these iterations. And for that, the closed models hosted by open AI, Google is, uh, and swapping, they're just unbeatable because you just, it's just an API call. Yeah. Um, so you don't need to worry about. Yeah. So much complexity behind that. So this is, I would say the biggest reason why we're not doing more in this space, but there are other thoughts, uh, also for the future. Like I see two different, like we basically have two different usage patterns of LLMs where one is this, this pre-processing of a podcast episode, like this initial processing, like the transcription, speaker diarization, chapterization. We do that once. And this, this usage pattern it's, it's quite predictable. Because we know how many podcasts get released when, um, so we can sort of have a certain capacity and we can, we, we're running that 24 seven, it's one big queue running 24 seven.swyx [00:53:44]: What's the queue job runner? Uh, is it a Django, just like the Python one?Kevin [00:53:49]: No, that, that's just our own, like our database and the backend talking to the database, picking up jobs, finding it back. I'm just curious in orchestration and queues. I mean, we, we of course have like, uh, a lot of other orchestration where we're, we're, where we use, uh, the Google pub sub, uh, thing, but okay. So we have this, this, this usage pattern of like very predictable, uh, usage, and we can max out the, the usage. And then there's this other pattern where it's, for example, the snippet where it's like a user, it's a user action that triggers an LLM call and it has to be real time. And there can be moments where it's by usage and there can be moments when there's very little usage for that. There. So that's, that's basically where these LLM API calls are just perfect because you don't need to worry about scaling this up, scaling this down, um, handling, handling these issues. Serverless versus serverful.swyx [00:54:44]: Yeah, exactly. Okay.Kevin [00:54:45]: Like I see them a bit, like I see open AI and all of these other providers, I see them a bit as the, like as the Amazon, sorry, AWS of, of AI. So it's a bit similar how like back before AWS, you would have to have your, your servers and buy new servers or get rid of servers. And then with AWS, it just became so much easier to just ramp stuff up and down. Yeah. And this is like the taking it even, even, uh, to the next level for AI. Yeah.swyx [00:55:18]: I am a big believer in this. Basically it's, you know, intelligence on demand. Yeah. We're probably not using it enough in our daily lives to do things. I should, we should be able to spin up a hundred things at once and go through things and then, you know, stop. And I feel like we're still trying to figure out how to use LLMs in our lives effectively. Yeah. Yeah.Kevin [00:55:38]: 100%. I think that goes back to the whole, like that, that's for me where the big opportunity is for, if you want to do a startup, um, it's not about, but you can let the big labs handleswyx [00:55:48]: the challenge of more intelligence, but, um, it's the... Existing intelligence. How do you integrate? How do you actually incorporate it into your life? AI engineering. Okay, cool. Cool. Cool. Cool. Um, the one, one other thing I wanted to touch on was multimodality in frontier models. Dwarcash had a interesting application of Gemini recently where he just fed raw audio in and got diarized transcription out or timestamps out. And I think that will come. So basically what we're saying here is another wave of transformers eating things because right now models are pretty much single modality things. You know, you have whisper, you have a pipeline and everything. Yeah. You can't just say, Oh, no, no, no, we only fit like the raw, the raw files. Do you think that will be realistic for you? I 100% agree. Okay.Kevin [00:56:38]: Basically everything that we talked about earlier with like the speaker diarization and heuristics and everything, I completely agree. Like in the, in the future that would just be put everything into a big multimodal LLM. Okay. And it will output, uh, everything that you want. Yeah. So I've also experimented with that. Like just... With, with Gemini 2? With Gemini 2.0 Flash. Yeah. Just for fun. Yeah. Yeah. Because the big difference right now is still like the cost difference of doing speaker diarization this way or doing transcription this way is a huge difference to the pipeline that we've built up. Huh. Okay.swyx [00:57:15]: I need to figure out what, what that cost is because in my mind 2.0 Flash is so cheap. Yeah. But maybe not cheap enough for you.Kevin [00:57:23]: Uh, no, I mean, if you compare it to, yeah, whisper and speaker diarization and especially self-hosting it and... Yeah. Yeah. Yeah.swyx [00:57:30]: Yeah.Kevin [00:57:30]: Okay. But we will get there, right? Like this is just a question of time.swyx [00:57:33]: And, um, at some point, as soon as that happens, we'll be the first ones to switch. Yeah. Awesome. Anything else that you're like sort of eyeing on the horizon as like, we are thinking about this feature, we're thinking about incorporating this new functionality of AI into our, into our app? Yeah.Kevin [00:57:50]: I mean, we, there's so many areas that we're thinking about, like our challenge is a bit more... Choosing. Yeah. Choosing. Yeah. So, I mean, I think for me, like looking into like the next couple of years, like the big areas that interest us a lot, basically four areas, like one is content. Um, right now it's, it's podcasts. I mean, you did mention, I think you mentioned like you can also upload audio books and YouTube videos. YouTube. I actually use the YouTube one a fair amount. But in the future, we, we want to also have audio books natively in the app. And, uh, we want to enable AI generated content. Like just think of, take deep research and notebook analysis. Like put these together. That should be, that should be in our app. The second area is discovery. I think in general. Yeah.swyx [00:58:38]: I noticed that you don't have, so you

Text a pool service question HERE!In this engaging episode, Steve Sherwood and Wayne Ivusich delve into the world of Certified Pool Operator (CPO) training and pool management. From the challenges of virtual learning to addressing real-world safety concerns, this discussion provides valuable insights for industry professionals and enthusiasts alike.What You'll Learn in This Episode:The Dynamics of Virtual Learning: How instructors adapt and innovate to overcome the hurdles of online training.Diverse Backgrounds of CPO Students: A closer look at the variety of individuals—from service companies to health officials—who participate in CPO classes.Practical Pool Management Issues: Dealing with toxicity in pools post-wildfire and navigating safety protocols in the workplace.Importance of Training and Safety: The critical role of proper training, standard operating procedures, and hands-on guidance in ensuring pool safety.Interactive Teaching Techniques: How in-person and virtual setups use group activities and breakout sessions to enhance learning.Memorable Quote from the Episode: "Not everybody's going to pass this class—it's about ensuring true readiness, not just ticking a box." – Wayne IvusichWho This Episode is For:Pool service companies and management teamsHealth officials and safety inspectorsAnyone passionate about pool safety and best practicesHave questions about pool safety? Join the conversation! Share your thoughts on social media using #PoolTrainingPodcast. Support the showThank you so much for listening! You can find us on social media: Facebook Instagram Tik Tok Email us: talkingpools@gmail.com

Kelli and Nolan are joined by Roxanne Petraeus, CEO of Ethena, to talk about her journey from the US army to founding an HR tech company. She shares her views on leadership, the distinction between training and learning, and building a culture of intellectual meritocracy in a remote-first environment. The conversation explores how compliance training evolved from her military experiences, covers the role of Chief People Officers, and reveals how military discipline shaped her approach to building high-performance tech cultures without superficial perks.*Email us your questions or topics for Kelli & Nolan: hrheretics@turpentine.coFor coaching and advising inquire at https://kellidragovich.com/HR Heretics is a podcast from Turpentine.—

Send us a textOn this week of Serious Privacy, Paul Breitbarth, Ralph O'Brien of Reinbo Consulting, and Dr. K Royal join Joanne Furtsch, VP extraordinaire of TrustArc to discuss all things #AI. Tune in to learn about the practical and innovative aspects of AI and its privacy and data protection implications.Please subscribe in your favorite podcast app - sharing is caring!  Powered by TrustArcSeamlessly manage your privacy program, assess risks, and stay up to date on laws across the globe.With TrustArc's Privacy Studio and Governance Suite, you can automate cookie compliance, streamline data subject rights, and centralize your privacy tasks—all while reducing compliance costs. Visit TrustArc.com/serious-privacy.If you have comments or questions, find us on LinkedIn and Instagram @seriousprivacy, and on BlueSky under @seriousprivacy.eu, @europaulb.seriousprivacy.eu, @heartofprivacy.bsky.app and @igrobrien.seriousprivacy.eu, and email podcast@seriousprivacy.eu. Rate and Review us! From Season 6, our episodes are edited by Fey O'Brien. Our intro and exit music is Channel Intro 24 by Sascha Ende, licensed under CC BY 4.0. with the voiceover by Tim Foley.

In this episode, Carlos González interviews Tanya Cordrey, Chief Product Officer at Motorway, the UK's fastest-growing used car marketplace.Motorway is revolutionizing the used car industry in the UK, with a gross market value of $2.5 billion per year and over half a million people selling their cars through their network. Founded recently, Motorway has quickly become a digital powerhouse, offering both sellers and dealers innovative ways to engage in the used car market.Tanya leads product experience and strategy for Motorway's digital portfolio, including their marketplace platform that connects individual car sellers with professional car dealers. Prior to Motorway, Tanya held leadership positions at Instagram, eBay, and The Guardian, bringing a wealth of experience in scaling digital products and marketplaces.In this episode, we'll explore the challenges of building a C2B marketplace, how Tanya and her team are leveraging technology to deliver excellent experiences for both sellers and dealers, and the future of automotive technology. We'll discuss features such as AI-assisted photo uploads, weather-based reminders, and end-to-end solutions for dealers, all designed to streamline the car selling and buying process.What you'll learn:- Tanya's journey to becoming CPO at Motorway and her insights on building global product teams.- The challenges and strategies involved in creating a C2B marketplace in the used car industry.- How to prioritize features and innovations in a fast-paced, two-sided marketplace environment.- The future of automotive technology, including AI-assisted processes and marketplace efficiencies.Key Takeaways:- Marketplace Efficiency: Tanya emphasizes the importance of understanding and optimizing both sides of the marketplace to create value for sellers and dealers.- Innovative User Experiences: Motorway is pushing boundaries with features like AI Image Assist and weather-based reminders to reduce friction in the car selling process.- Data-Driven Product Development: Tanya highlights the use of specific KPIs and user behavior analysis to guide product decisions and improvements, focusing on key moments in the user journey.Social Links:- Follow our Podcast on Tik Tok here- Follow Product School on LinkedIn here- Join Product School's free events here - Find out more about Product School hereCredits:Host: Carlos Gonzalez de VillaumbrosiaGuest: Tanya Cordrey

In our latest conversation on The Product Experience podcast, Zan Gilani, Principal Product Manager at Duolingo, discusses the innovative use of AI in language learning, particularly through the video call feature with their character, Lily. He shares lessons on creating the new video feature and highlights the principles that guide Duolingo's product management approach. Featured Links: Follow Zan on LinkedIn and his website | Duolingo Lily feature | 'What we learned at Pendomonium and #mtpcon Raleigh: day 2' feature by Louron PrattOur 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.

Friend of the pod Colleen McCreary discusses some big news: her return to a CPO role at a remote-first public company (Confluent). She shares insights on navigating the first 90 days, organizational change, implementing a company-wide initiative to eliminate unnecessary processes, and gearing up for lots of 1:1s. Colleen, Kelli, and Nolan discuss transparent leadership, building community in remote environments, and bringing humanity to workplace policies—all while balancing the challenges of joining an established company as an executive with a public reputation*Email us your questions or topics for Kelli & Nolan: hrheretics@turpentine.coFor coaching and advising inquire at https://kellidragovich.com/HR Heretics is a podcast from Turpentine.—

Text a pool service question HERE!In this episode of the Talking Pools podcast, Rudy Stankowitz delves into the multifaceted world of customer reviews, discussing their significance in the service industry. He emphasizes the importance of encouraging customer feedback, handling negative reviews effectively, and understanding the legal implications of online reviews. The conversation highlights strategies for leveraging positive reviews as marketing tools while maintaining a strong online reputation. Rudy concludes by stressing the need for businesses to navigate the review landscape with professionalism and integrity.takeawaysCustomer reviews can significantly boost credibility and attract new clients.Timing and personalization are key when asking for reviews.Social proof from existing reviews can encourage more feedback.Negative reviews can be opportunities for improvement and customer engagement.A professional response to negative reviews can enhance a business's reputation.Understanding the legal aspects of reviews is crucial for business owners.Positive reviews should be integrated into marketing strategies for maximum impact.Maintaining a strong overall reputation helps mitigate the effects of negative feedback.Engaging with customers publicly can foster loyalty and trust.Proactive management of online reputation is essential for long-term success.Sound Bites"Customer reviews can be great or a thorn in your side.""A well-thought-out strategy can make all the difference.""That's the good, the bad, and the ugly."Chapters00:00The Importance of Customer Reviews06:39Handling Negative Reviews20:42Legal Aspects of Customer Reviews AquaStar Pool ProductsThe Global Leader in Safety, Dependability, & Innovation in Pool Technology.POOL MAGAZINE Pool Magazine is leading up to the minute news source for Swimming Pool News and Pool Features. OuBLUERAY XLThe real mineral purifier! Reduce your pool maintenance costs & efforts by 50%CPO Certification ClassesAttend your CPO class with Rudy Stankowitz!Online Pool ClassesThe difference between you and your competition is what you know!Jack's MagicIf you know Jack's you'd have no stains!RaypakRaypak, leading the evolution of environmental efficiency and sustainability in pool heaters.Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.Support the showThank you so much for listening! You can find us on social media: Facebook Instagram Tik Tok Email us: talkingpools@gmail.com

Louise Farrenc - Piano Quintet No. 2: FinaleLinos EnsembleMore info about today's track: CPO 999194-2Courtesy of Naxos of America Inc.SubscribeYou can subscribe to this podcast in Apple Podcasts, or by using the Daily Download podcast RSS feed.Purchase this recordingAmazon

Elizabeth von Herzogenberg - Eight Piano Pieces: No. 2Natasa Veljkovic, pianoMore info about today's track: CPO 777789-2Courtesy of Naxos of America Inc.SubscribeYou can subscribe to this podcast in Apple Podcasts, or by using the Daily Download podcast RSS feed.Purchase this recordingAmazon

In this episode, Brian and Fareed discuss the challenges facing product managers in the AI era with Shaun Clowes, CPO at Confluent. Many product professionals are questioning their future as traditional PM workflows—documentation, basic prioritization, and coordination—become increasingly automated. Yet this technological shift isn't eliminating the product management function; rather, it's elevating what has always differentiated exceptional PMs from average ones. While low-value processes are being automated away, the core elements that create product success—strategic vision, judgment, taste, and leadership—are becoming dramatically more valuable.

How Customer Complaints Impact Loyalty and Retention  Shep interviews Bill Price, President & Founder of Driva Solutions and Amazon's first global vice president of customer service. He talks about his new book, Zero Complaints: The Path to Continuous Value Creation, and explores the aspirational goal of eliminating customer complaints to enhance customer retention, reduce costs, and increase revenue.  This episode of Amazing Business Radio with Shep Hyken answers the following questions and more:    How do you get zero customer complaints?  What benefits do businesses gain by proactively eliminating customer complaints?  What is the cost of customer dissatisfaction?  Why is it important for company executives to engage directly with the customers?  What are the potential revenue losses associated with unresolved customer complaints?  Top Takeaways:    Striving for zero complaints is about aiming to continuously improve and provide value for the customer. While it may not be entirely realistic to have zero complaints, the aspiration drives companies to proactively identify and manage issues before they become a point of friction for the customers.    It costs more to attract new customers than to retain current ones. A frictionless experience can make customers more likely to buy more, return, and recommend a business to others. Customers with consistently positive experiences are more likely to share them with friends and family. Companies that focus on reducing complaints and enhancing the customer experience often see higher retention rates and increased revenue.    Frequent complaints should serve as signals that something in the business process needs fixing. Businesses must listen attentively to what customers say and capture feedback from the frontline employees.    Handling customer complaints can be costly for businesses. It involves maintaining support centers, training staff, and investing in the technology to manage issues. Reducing complaints means these expenses can be minimized, resulting in significant cost savings.    There's value in handling complaints well, as it can result in increased customer loyalty. However, it's to prevent complaints from happening in the first place. By eliminating common pain points, businesses can focus on delivering exceptional experiences rather than resolving issues.    Plus, Shep and Bill discuss the role of a Chief Problem Officer and how the presence of a CPO in organizations leads to happier customers and employees. Tune in!   Quote:   "When you treat your customers well and give them an easy, frictionless experience, not only will you keep them, but they'll tell their friends about your business.”    About:    Bill Price is the President & Founder of Driva Solutions, LLC. and the co-author of four books, including The Best Service is No Service, Your Customer Rules!, The Frictionless Organization, and his latest, Zero Complaints.  Shep Hyken is a customer service and experience expert, New York Times bestselling author, award-winning keynote speaker, and host of Amazing Business Radio. Learn more about your ad choices. Visit megaphone.fm/adchoices

Marianne Martines - Symphony: 1st movementSalzburg Hofmusik Wolfgang Brunner, conductorMore info about today's track: CPO 777985-2Courtesy of Naxos of America Inc.SubscribeYou can subscribe to this podcast in Apple Podcasts, or by using the Daily Download podcast RSS feed.Purchase this recordingAmazon

Shoot us a Text.As we greet the first full week of March, we're live from Charlotte, North Carolina with good friend Todd Caputo. Today, we pause and remember titan sales trainer Jim Ziegler, who helped thousands of dealerships during his 48 years in the industry. Plus, we cover Carvana's acquisition of a CJDR store in Arizona and what it might mean in the future.Show Notes with links:Sad news this morning: Jim Ziegler, the larger-than-life trainer and industry icon, has passed away after a battle with brain cancer. Known as the “Alpha Dawg,” Ziegler spent decades shaping dealership floors into profit machines with his no-nonsense style and razor-sharp insights.His family shared the news on Facebook saying: “Jim passed away peacefully at home, surrounded by his beloved Debbie and family. ”With a career spanning 48 years, Jim turned green salespeople into closers and taught GMs how to hustle smarter. His seminars were part revival, part boot camp—equal parts inspiration and tough love.He pioneered training that blended old-school grit with new-school tech, pushing dealerships to adapt to the digital age while keeping the art of the deal alive. His company, Ziegler SuperSystems, was his proving ground.Love him or hate him, you couldn't ignore him. Jim's brash voice—online and IRL—called out BS in the industry, from shady F&I tactics to lazy management. His X posts were a masterclass in stirring the pot, and he never shied from a fight.Thousands of auto pros owe their paychecks to Ziegler's wisdom. The “Alpha Dawg” may be gone, but his playbook's still in the glovebox of every dealership worth its salt.Remember him today—then get back to work. He'd hate us slackingFrom the family's post: “Jim may no longer be with us, but his influence, his lessons, and his impact will never leave us. His voice may be quiet now, but his words will be carried forward by the countless people whose lives he touched.”Carvana has taken a bold step into the new-vehicle market by acquiring Jerry Seiner Chrysler-Dodge-Jeep-Ram in Casa Grande, Arizona. This is a major shift for the online retailer, which has historically focused exclusively on used cars since its founding in 2013.Carvana plans to reopen the store on March 3, retaining all 41 employees.The move is described as a "small test" by Carvana, which stated: "We don't expect it to have any noticeable impact to our results for the foreseeable future.”This experiment follows a path previously trodden by competitor CarMax, which owned new-vehicle franchises until divesting them in 2021."We are excited to join the Stellantis network and our focus in this test will be learning how to provide great customer experiences at a franchise dealership," a Carvana spokesperson said.Questions still to be answered (per Ben Hadley on LinkedIn)Can all the CDJR cars on Carvana now be CPO?Can ADESA now access wholesale parts for CDJR repairs?Hosts: Paul J Daly and Kyle MountsierGet the Daily Push Back email at https://www.asotu.com/ JOIN the conversation on LinkedIn at: https://www.linkedin.com/company/asotu/ Read our most recent email at: https://www.asotu.com/media/push-back-email

Heinrich Schutz - Cantate Domino Canticum NovumWeser-Renaissance Bremen Manfred Cordes, conductorMore info about today's track: CPO 999405-2Courtesy of Naxos of America Inc. SubscribeYou can subscribe to this podcast in Apple Podcasts, or by using the Daily Download podcast RSS feed.Purchase this recordingAmazon