Podcasts about Chief product officer

Enterprise retailers index only 40-50% of their product pages. Joe Doran, Chief Product Officer at Botify, breaks down why LLM crawlers—decades behind Googlebot in sophistication—struggle to render JavaScript-heavy PDPs and confirmation-crawl product data before citing it. Learn why product feeds now demand the same scrutiny as on-page SEO, how OpenAI's Agentic Commerce Protocol reshapes structured data requirements, and why citation rate and crawl volume correlations outperform synthetic share-of-voice metrics for measuring AI search visibility.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Leveraging AI Efficiency and Human Insight  Shep interviews Filip Jaskólski, Chief Product Officer at Text. He talks about how customer service, empowered by AI and human collaboration, can shift from being a cost center to a revenue generator for businesses.  This episode of Amazing Business Radio with Shep Hyken answers the following questions and more:    How can customer service move from a cost center to a revenue generator?    What is the ideal balance between AI automation and human agents in customer support?    How can companies use AI to boost upselling and product recommendations?    Why should businesses transition from reactive to proactive customer service?    What metrics actually matter when evaluating AI in customer support?   Top Takeaways:    Customer service has evolved beyond being a support center. When done strategically, it can be an important contributor to customer retention and revenue.      Every interaction with customers is an opportunity to gain valuable information about what they want or need. Aside from answering questions and solving problems, successful companies use these customer signals to improve their products and services.     By analyzing and interpreting not just the words that customers use but also the intent and context behind interactions, AI becomes an essential tool for providing personalized recommendations.     The potential for upselling and cross-selling exists in every customer conversation, not just in face-to-face interactions. Automated systems are now sophisticated enough to identify when recommendations are relevant and welcome, turning customer support channels into points of sale.     The goal is not to fully automate contact centers. Instead, successful businesses strive for a balance between AI and human strengths. For example, AI can sort through large numbers of inventory to suggest products that match the customer's needs. At the same time, human agents are capable of empathy and judgment that are essential in building a lasting connection with customers.     Revenue, satisfaction, and loyalty are the biggest indicators of success in using AI to enhance customer and employee experience. Often, companies get stuck measuring how many customers interact with AI, or how fast problems are resolved while missing out on real opportunities for growth.     Plus, Shep and Filip discuss why businesses should be proactive rather than reactive when interacting with customers. Tune in!  Quote:   "With the technology that we have today, AI can help us go deeper in our relationship with customers. We can analyze so much data and context to match what our customers need to what we can offer."      About:    Filip Jaskólski is the Chief Product Officer at Text. He drives product strategy and development with a focus on practical, scalable AI-powered customer experience solutions.  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

AI can now do far more than summarize meetings. In this episode, Dean Newlund and Artem Koren explore how meeting intelligence is evolving into AI that helps leaders execute business goals, improve collaboration, and rethink the future of work.   In this episode, Dean Newlund and Artem Koren discuss: The evolution of AI-powered meeting intelligence Connecting everyday work to organizational goals Practical AI applications for business workflows Leadership behaviors in times of uncertainty Balancing automation with human judgment   Key Takeaways: AI can remove repetitive work, but leaders should continue reviewing its output to ensure it reflects their own thinking, judgment, and communication style. Custom AI workflows can help organizations evaluate meetings against their own standards, making it easier to reinforce desired behaviors and improve consistency. Rather than focusing only on individual tasks, AI can help employees connect their daily work to broader business goals and organizational priorities. When problems arise, leaders build stronger teams by staying calm, assessing the situation, addressing the immediate issue, and learning from what happened instead of reacting emotionally. Use AI to support decisions and execution, but preserve the human moments that strengthen relationships, trust, and personal connection.   "Assess the situation, stop the bleed, figure out what you do to prevent this thing from happening in the future, and implement those changes.” — Artem Koren   About Artem Koren: Artem is the Chief Product Officer and Co-Founder of Semby AI. Artem has 16+ years of product management experience and has applied AI learning to his work since 2009. Artem is passionate about using AI to enrich humanity and create positive change.   Connect with Artem Koren:   Website: https://www.sembly.ai/ LinkedIn: https://www.linkedin.com/in/akoren/       See Dean's TedTalk “Why Business Needs Intuition” here: https://www.youtube.com/watch?v=EEq9IYvgV7I Connect with Dean:YouTube: https://www.youtube.com/channel/UCgqRK8GC8jBIFYPmECUCMkwWebsite: https://www.mfileadership.com/The Mission Statement E-Newsletter: https://www.mfileadership.com/blog/LinkedIn: https://www.linkedin.com/in/deannewlund/X (Twitter): https://twitter.com/deannewlundFacebook: https://www.facebook.com/MissionFacilitators/Email: dean.newlund@mfileadership.comPhone: 1-800-926-7370 Audio production by Turnkey Podcast Productions. You're the expert. Your podcast will prove it.

Enterprise retailers index only 40-50% of their product pages. Joe Doran, Chief Product Officer at Botify, breaks down why indexation—not content quality or page speed—remains the most overlooked lever for organic revenue in commerce. He covers the compounding cost of JavaScript-heavy PDPs on crawl budget allocation, why LLM confirmation crawls fail to verify unrendered reviews and pricing data, and how serving non-human traffic with the same infrastructure investment as human traffic determines visibility across ChatGPT, Gemini, and Google Shopping.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

The hacker who will attack your organization in five years is in primary school right now, and nobody is teaching them anything. Tim Murck, Co-founder & Chief Product Officer at HackShield, joins Lieuwe Jan Koning, Co-founder & CTO at ON2IT, to explain how a game turns kids aged 7 to 12 into junior cyber agents instead of future attackers. The method is not fear. It is teaching kids to ask one question: how are they going to trick me?

Enterprise retailers index only 40-50% of their product pages. Joe Doran, Chief Product Officer at Botify, analyzes AI search readiness across retail sites where 9 of 10 products contain three to seven feed errors or missing fields. The conversation covers crawl efficiency and rendering gaps that leave LLM bots seeing just 30-40% of JavaScript-dependent content, structured feed optimization for the Agentic Commerce Protocol and Universal Commerce Protocol, and a shift toward holistic, purchase-anchored attribution over session-based models.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

AtScale's latest announcement with Snowflake highlights a reality many organizations are just beginning to realize: AI is only as smart as the business context behind it. That's where the Semantic Layer comes in. What do you think? That was one of the key takeaways from my conversation with Luis Maldonado, Chief Product Officer at AtScale, during Snowflake Summit on The Ravit Show.For years, organizations have struggled with a simple problem: different teams looking at the same data but arriving at different answers. Finance has one definition of revenue, sales has another, and operations has a third. The result is confusion, duplicated effort, and a lack of trust in analytics.The Semantic Layer changes that.It creates a common business language that sits between data and the people, applications, dashboards, and AI systems consuming it. Instead of every team building its own logic and calculations, everyone works from the same trusted definitions.What makes this particularly interesting is the collaboration between AtScale and Snowflake. As enterprises move beyond dashboards and into AI-powered decision making, trusted business context becomes critical. AI systems need more than data. They need to understand what that data actually means.The message from AtScale was clear: the future is not just about storing and processing data. It's about ensuring consistent business definitions across Power BI, Excel, analytics platforms, and AI applications.As AI adoption accelerates, I believe we'll hear a lot more about Semantic Layers. They may very well become the foundation that helps organizations move from AI experiments to trusted AI outcomes.#Data #AI #SnowflakeSummit #Snowflake #AtScale#DataAI #EnterpriseAI #AgenticAI #Analytics #TheRavitShow

Carolyn Woodard talks with Joe Robbins, Chief Product Officer at Food Rescue US, about a real-world AI project built from the ground up: a predictive model that flags volunteer pickups at high risk of a last-minute cancellation.Food Rescue US connects volunteers with food donors and receiving agencies through an app similar to a delivery service, coordinating about 150,000 pickups a year across 27 states. When a volunteer cancels within 24 hours of a pickup, site coordinators scramble to cover it or risk the relationship with the donor. Joe and his team partnered with a supply chain researcher at Michigan State University to build an algorithm that predicts cancellation risk and flags pickups at high-risk for cancellation. Rather than automating any decisions outright, the AI triggers an alert to the site coordinator, who checks with the volunteer about confirming the pickup or cancelling early. During the pilot and rollout the AI tool  flagged thousands of rescues that would have been last minute cancellations. Joe shares the practical lessons from a project that took a full year to scope, pilot, and improve: why good data capture has to come before any AI project, how a tightly scoped pilot funded through a grant reduced risk, and why keeping a human in the loop kept the tool trustworthy for staff and volunteers alike. He also offers a framework for nonprofits without an in-house AI researcher or technical staff to get started using AI for more than productivity tools.Joe and Carolyn discuss:How a predictive model helps Food Rescue US flag volunteer pickups at high risk of last-minute cancellation, giving site coordinators three to eight days of notice instead of a same-day scramble.Why the project deliberately keeps a human in the loop: the algorithm surfaces a risk score, but a site coordinator decides whether to act on it.Why clean, well-understood data capture has to happen before any AI project, and how to audit what data your organization already has.How building a pilot into a grant proposal made it easier to test small before rolling out more broadly.A framework for nonprofits without an in-house AI researcher: start with free assistant tools, learn what context AI needs to be useful, then look for a tightly scoped, well-documented problem to solve where you already have the data to use.What's next for Food Rescue US: using AI to take logistical pressure off site coordinators so they can focus on building community relationships.Resources Mentioned:Food Rescue US: https://foodrescue.usTech Soup AI Impact Hour interview with Joe: https://engage.techsoup.org/c/upcoming-events/ai-impact-hour-for-nonprofits _______________________________Start a conversation :)Register to attend a webinar in real time, and find all past transcripts at https://communityit.com/webinars/email Carolyn at cwoodard@communityit.comon LinkedIn on reddit/r/nonprofitITmanagementon the Community IT websiteThanks for listening. 

Le Carnet de Maxime Blot "Devenir un Artisan Hôtelier" pour 39€ seulement !Fruit de plusieurs années d'expérience sur le terrain, ce carnet signé Maxime Blot, Meilleur Ouvrier de France, offre un regard affûté sur les enjeux actuels du service hôtelier.1️⃣ Présentation de l'invité :Il y a quelques semaines, j'animais une conférence à Food Hotel Tech. Face à moi, un panel d'experts — et parmi eux, Jean-Dominique Brivet.En l'écoutant décortiquer en direct l'impact de l'IA sur la distribution hôtelière, j'ai eu une seule pensée : il faut absolument qu'il vienne dans le podcast.Fondateur d'Equaero en 2004 — quand le marketing digital hôtelier n'était encore qu'une promesse, il a passé vingt ans à aider les hôteliers à reprendre le contrôle de leur distribution.Aujourd'hui Chief Product Officer chez D-EDGE, on peut dire qu'il a les mains dedans depuis longtemps.Comment l'IA transforme-t-elle concrètement le parcours de réservation ?Quel est l'avenir des intermédiaires (OTAs) face à cette révolution ?Quelles stratégies concrètes les hôteliers doivent-ils adopter dès maintenant ?Toutes les réponses sont à retrouver dans cet épisode on ne peut plus essentiel actuellement.2️⃣ Notes et références :▶️ Toutes les notes et références de l'épisode sont à retrouver ici.3️⃣ Le sponsor de l'épisode : D-EDGED-EDGE est la seule plateforme de distribution qui couvre l'intégralité du parcours : attirer vos clients, les convertir, les fidéliser, tout en optimisant à la fois volume et marge.Reprenez la main sur votre distribution. Ce n'est pas un compromis, c'est une stratégie.Alors, contactez les experts D-EDGE de ma part !4️⃣ Chapitrage : 00:00:00 - Introduction00:02:00 - La rupture de la chaîne de valeur : du Search au Chatbot00:14:00 - L'avenir des intermédiaires et la reconquête du direct00:23:00 - La vision technologique de D-EDGE et l'IA agentique00:34:00 - Stratégie de contenu : le GEO (Generative Engine Optimization)00:42:00 - Sécurité, parcours et fondamentaux de l'accueil00:49:00 - Questions signaturesSi cet épisode vous a passionné, rejoignez-moi sur :L'Hebdo d'Hospitality Insiders, pour ne rien raterL'Académie Hospitality Insiders, pour vous former aux fondamentaux de l'accueilLe E-Carnet "Devenir un Artisan Hôtelier" pour celles et ceux qui souhaitent faire de l'accueil un véritable artLinkedin, pour poursuivre la discussionInstagram, pour découvrir les coulissesLa bibliothèque des invités du podcastMerci de votre fidélité et à bientôt !Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

For today's episode, Greg Miller and Lars Doucet from the Center for Land Economics discuss vacant land being undervalued in Baltimore compared to utilized lots and what the mismatches mean for speculation, development, and fairness.Greg Miller is Co-Founder of the Center for Land Economics. He brings experience from his role as a Program Analyst in the Office of Policy Development and Research at the Department of Housing and Urban Development (HUD). After his time at HUD, he co-founded a startup focused on applying AI to make government more accessible. He holds degrees in Economics and Applied Mathematics from the University of Notre Dame.Lars Doucet is Co-Founder of the Center for Land Economics. He has decades of experience in software development. He was previously an indie game developer before co-founding ValueBase, a property assessment technology startup. As the former Chief Product Officer, he developed cutting-edge tools for accurate land value estimation. His book “Land is A Big Deal” has become a cornerstone text in contemporary discussions of land value taxation.To check out more of our content, including our research and policy tools, visit our website: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.hgsss.org/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ 

เกาะติดผลประชุม Fed ครั้งที่ 2 ภายใต้การนำของ ‘เควิน วอร์ช' ทิศทางดอกเบี้ยจะไปทางไหน พูดคุยกับ ดร.จิติพล พฤกษาเมธานันท์ Chief Product Officer บล. ฟินันเซีย ไซรัสความคืบหน้า TSD โดนแฮก ข้อมูล 2 แสนบัญชี ต้องรับมืออย่างไร พูดคุยกับ พ.ต.ท.พากฤต กฤตยพงษ์ สารวัตรกลุ่มงานรักษาความมั่นคงปลอดภัยทางไซเบอร์ กองบังคับการตรวจสอบและวิเคราะห์อาชญากรรมทางเทคโนโลยี (บก. ตอท.)

Netflix feels remarkably simple. Open the app. Find something to watch. Press play. But creating that experience is anything but simple. On this episode of Building One, Tomer Cohen sits down with Elizabeth Stone, Netflix's Chief Technology Officer and Chief Product Officer, to explore how one of the world's most iconic consumer products continues to evolve while staying remarkably intuitive. Netflix is no longer just movies and TV. It's live events, games, podcasts, mobile experiences, and AI-powered personalization. Elizabeth shares how Netflix is expanding into entirely new forms of entertainment—without making the product feel more complicated for its members. Before joining Netflix, Elizabeth built products across healthcare, transportation, and finance. That unique perspective shapes how she thinks about product strategy, organizational design, and solving complex problems at scale. In this episode, Tomer and Elizabeth discuss: How Netflix balances world-class content with world-class product and technology Why expanding from one product to many is one of the hardest challenges in product management How Netflix introduces new experiences without overwhelming its members Why content teams and product teams shouldn't operate the same way—and how Netflix bridges the gap How Netflix measures value across movies, games, live events, and podcasts Why AI raises the bar for product quality, taste, and judgment The future of entertainment: more personalized, immersive, and interactive experiences Whether you're building consumer products, leading cross-functional teams, or thinking about the future of AI and entertainment, this conversation offers a rare look inside the product philosophy behind one of the world's most influential technology companies.

Today, Nicole is teaming up with U.S. Bank to unpack the state of small businesses and what entrepreneurs can do right now to get ahead.  Nicole sits down with Shruti Patel, U.S. Bank's Chief Product Officer for the Business Banking segment, to unpack the findings from the bank's fourth annual Small Business Survey and what they reveal about the state of entrepreneurship right now. Shruti breaks down why small business optimism dipped from 93% to 83% this year even as resilience holds strong, why only 3% of owners are currently considering a sale or exit, and what that signals about the massive wealth transfer coming as Boomer-aged owners hand off their businesses to the next generation over the next decade. Then the conversation turns to Gen Z founders specifically: their appetite for bold, calculated risk, and the surprising trend of delaying life milestones like marriage and family to build their businesses… a bet that, according to the data, is actually paying off in faster growth. Nicole and Shruti also get tactical: how business credit actually works (and why your personal credit score matters more than you'd think) and the real documentation lenders want to see. Plus: how small businesses are using AI to cut costs (even when the ROI math gets murky), where digital currency payments stand today, and why frictionless checkout is a bigger deal than most owners realize.    Learn more about U.S. Bank's Small Business Banking solutions at: usbank.com  Check-out the results of U.S. Bank's Small Business Survey: https://www.usbank.com/business-banking/business-resource-center/small-business-survey.html Here's what Nicole covers with Shruti: 00:00 Are You Ready for Some Money Rehab? 00:43 Meet Shruti Patel, U.S. Bank's Chief Product Officer 01:20 Inside U.S. Bank's 4th Annual Small Business Survey 02:16 Why Optimism Dropped from 93% to 83% 04:45 Why Only 3% of Owners Are Considering an Exit 05:18 The Great Wealth Transfer and Succession Planning for the Next Decade 06:31 Inside Gen Z's Bold, Calculated Approach to Risk 07:37 Delaying Marriage and Family to Build a Business 09:03 "You Can Have It All, Just Not All at Once" 11:07 How Gen Z Defines Success 12:10 The Death of the "Shark Tank" Fundraising Dream 13:45 Debt vs. Equity: Rethinking How to Finance Growth 14:17 What Banks Look for Before Approving a Loan 16:08 Do Businesses Have Their Own Credit Score? 17:38 Personal Guarantees and the Documentation You'll Need 19:06 The SBA Loan Process 19:38 How Small Businesses Are Actually Using AI to Save Money 21:16 The "Digital Target Checkout" Problem with AI Costs 22:39 Where Digital Currency and Crypto Payments Stand Today 24:15 Why Frictionless Checkout Is Everything 26:03 Inside U.S. Bank's Business Essentials Launch 29:32 U.S. Bank's Partnership with the NFL and the Financial Edge Program 33:45 Shruti Patel's Tip You Can Take Straight to the Bank All investing involves the risk of loss, including loss of principal. This podcast is for informational purposes only and does not constitute financial, investment, or legal advice. Always do your own research and consult a licensed financial advisor before making any financial decisions or investments.

Faith Forster has spent 15 years in product leadership. She was VP of product at Dex, acquired for approximately $600 million, and went on to serve as CPO at Legal, a payments and compliance platform. She now runs discovery.com, an AI-native platform that helps product leaders and teams make faster, better product decisions by connecting to their tools and synthesising competitor, customer and growth intelligence. She is also the driving force behind the Makers Manifesto — a cross-disciplinary set of values and principles for building great products in the age of AI, developed with 45 contributors from across product, engineering, design, and business leadership.We discuss:The manifesto emerged from 96 conversations with product leaders whose grasp of AI ranged from fully automated pipelines to treating it as a faster way to write PRDs — a gap that revealed an industry in urgent need of a shared reference point.Four values anchor the manifesto: purpose over possibility, value created over effort spent, learning loops over launch plans, and human accountability over full automation."Maker" was chosen over "builder" to signal that designers, engineers, salespeople, customer support staff, and founders all share equal ownership of the creation process — regardless of job title.Feature parity is no longer a defensible moat: when any competitor can replicate a capability within days, durable advantage must come from data, relationships, distribution, and business model.Product market fit can no longer be treated as a static milestone — in a market where products, competitors, and customer expectations shift simultaneously, fit must become a continuous, living part of decision-making."Done" now means adopted, not shipped. AI removes every excuse for clunky, one-size-fits-all experiences, and teams that still equate production deployment with completion are measuring the wrong thing.Making context explicit — codifying strategy in a form that agents and humans can both act on daily — is the principle teams consistently identify as their most urgent, immediate priority.Chapters00:00 Introduction 01:12 Faith's background 02:28 Origins of the Makers Manifesto 06:18 Makers Manifesto vs the Agile Manifesto 07:23 Why "maker" not "builder" 11:42 Four values and 16 principles 15:01 Purpose over possibility 19:10 Learning loops over launch plans 22:36 Who gets to be a maker 28:55 Durable advantage in the AI era 33:22 Staying close to customers 36:04 What's next for the manifesto 43:59 Wrap-upReferencedMakers Manifesto — https://makersmanifesto.orgdiscovery.com — Faith's AI-native product decision platformOur 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.

By Doug Green “We see some customers with 70% autonomous resolution—and I'm talking about real resolution, not just giving an answer, but actually doing it for you and resolving the ticket completely.” AI vendors have filled the market with promises of productivity, automation and lower operating costs. Atera is taking a different approach: putting a measurable performance commitment behind its autonomous IT agent. In this Technology Reseller News podcast, I speak with Tal Dagan, Chief Product Officer at Atera, about Robin, the company's autonomous IT agent, and what it means to move from AI experimentation to demonstrable operational outcomes. Atera began as an all-in-one professional services automation and remote monitoring and management platform. That foundation gives Robin access to both sides of an IT incident: the ticketing conversation with the employee and the device-level tools needed to diagnose and correct the problem. Dagan explains that Robin does more than suggest a troubleshooting step. When an employee reports that a computer is running slowly, Robin can run diagnostics, identify a memory-hungry browser tab or cache problem, take corrective action, confirm that performance has returned to normal and close the issue end-to-end. That distinction matters. Many AI tools provide answers or instructions, but the work still falls to the employee or technician. Robin is designed to carry out operations on managed devices and connected third-party applications, allowing the system to resolve qualifying incidents rather than simply recommend a response. Atera is backing the product with a performance guarantee for qualified customers: Robin will autonomously resolve 50% of Tier 1 and complex Tier 2 incidents within 90 days, or the applicable fees are waived. Before deployment, customers can also test selected use cases in a proof of concept using real workflows and ticket data. According to Dagan, the company is already seeing autonomous resolution rates above 50% among many customers, with some reaching approximately 70%. He emphasizes that these figures refer to complete resolution—not an AI-generated answer telling a user what to do next. The podcast also explores where people remain essential. Customers determine which actions Robin is authorized to take and where an approval or technician should enter the process. For example, Robin can verify whether an employee belongs in an email distribution group, request a manager's approval and then make the change. A more cautious organization can route the same request to a technician. Even when Robin does not close a ticket autonomously, it can gather information from the employee, the device and connected systems before handing the case to a technician. That reduces diagnostic work, shortens resolution time and gives the technician a better starting point. For MSPs, the larger opportunity is scale. Routine incidents, repetitive information gathering and approval-driven workflows consume significant technician time. Moving more of that work to an autonomous agent can enable an MSP to support additional customers without increasing headcount at the same rate, while allowing skilled staff to focus on complex problems and higher-value services. The conversation points toward a new phase of enterprise AI adoption—one in which providers are measured not by demonstrations or broad claims, but by the percentage of real work completed, the speed of response and the operational burden removed from IT teams. Listen to the podcast to learn how Atera is applying autonomous IT in the field, how customers set the boundaries for automation, and what guaranteed AI outcomes could mean for MSP growth. About Atera Atera provides an AI-powered IT management platform for enterprises and MSPs. Its autonomous IT agent, Robin, is designed to diagnose and resolve technical incidents end-to-end, reduce ticket volume and help IT teams scale operations. Guest: Tal Dagan, Chief Product Officer, Atera Tal Dagan on LinkedIn: linkedin.com/in/taldagan Atera on LinkedIn: linkedin.com/company/atera-networks

In our latest episode, Craig is joined by Uma Rani, President and Chief Product Officer for Cloud ERP Private at SAP. Uma sets out how SAP Cloud ERP Private has evolved since 2020 and the strategy shaping it today. She explains where Sovereign Cloud fits, and the differences between private and public cloud.Craig and Uma then turn to the autonomous enterprise. They discuss AI agents available across SAP's environments, and how a clean core approach can help minimise customisations. To learn more about the UKISUG referral scheme, visit: https://www.sapusers.org/community-referral-scheme 

Monica Marquez helps leaders turn AI ambition into adoption by building the trust, capability, and new ways of working that make transformation real.AI changed the size of the gap, not the shape of the problem. Adoption stalls in trust, capability, and ways of working, not in the technology itself. The leaders she works with are not behind because they lack talent. They are behind because no one has handed them a system for turning their own judgment into something AI can amplify. Every leader already has a version of authentic intelligence. Her work is helping them codify it, so the artificial kind has something worth amplifying.Monica spent twenty five years inside Goldman Sachs, Bank of America, EY, and Google, building the leadership development and professional growth systems that helped established professionals advance, stay relevant, and grow as the ground shifted under them. Talent, leadership, and transformation at scale, inside organizations that do not have room for guesswork.In 2019 she left corporate to co-found Beyond Barriers with Nikki Barua, building on Nikki's bestselling book to create an AI powered professional development platform that accelerated success for women and all leaders. Today she is co-founder and Chief Product Officer of FlipWork. The throughline has never moved: she builds pathways into what comes next.Unlocking Humanity with Ancient Knowledge Hosted by John Edmonds Kozma Unimpressed Podcast offers a groundbreaking look into consciousness, ancient wisdom, and the nonconscious aspects of humanity via the Quantum Field. Hosted by John Edmonds Kozma, CEO of Bang Productions and a seasoned entertainment industry veteran with extensive experience, each episode delves deeper than typical discussions to reveal profound insights about reality, spirituality, and human potential. He has been likened to Albert Einstein for his innovative reasoning. Hosted on Acast. See acast.com/privacy for more information.

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

How AI Tools for Therapists Are Built: Trust, Data Privacy, and Choosing What to Adopt - An Interview with Ian Knox and Megan Toomey Ian Knox and Megan Toomey of SimplePractice take therapists behind the scenes of how AI tools for mental health are actually built, trained, and kept secure. We're in the middle of AI month, and Curt and Katie wanted to move past the buzzwords and talk with the people who actually engineer this technology. As part of the show's partnership with SimplePractice, they sit down with Ian Knox, Chief Product Officer, and Megan Toomey, Sr. Director of Clinical Support AI Product Management, to pull back the curtain on how AI tools for therapists get designed, what "training the model" really means, and how client data is handled. They get specific about what to evaluate before adopting any AI tool, from vendor trust and HIPAA compliance to data practices, and why note taking is the most mature use case while insurance, scheduling, intake, and referral matching are still emerging. Ian and Megan also take on the fear that AI-first companies want to replace therapists, and explain why clinicians have to stay at the center of care and review anything they put their name on. This is a grounded, practical conversation for any therapist trying to decide what AI belongs in their practice, and what to be cautious about, without panic or hype. In this episode, we discuss: - How an EHR decides which clinician tasks AI is mature enough to help with - What to evaluate before trusting an AI vendor with client data - Why "HIPAA compliant" is a floor, not proof of strong security - What "training the model" does and does not mean, and why SimplePractice says it is not training an LLM on your data - How transcripts are retained, and the new opt-in for de-identified data - Why you remain responsible for every AI-assisted note you sign - How to talk with clients about AI and get meaningful consent Timestamps: 00:16 - AI month, and why we wanted to talk to people who build AI 01:33 - Who Ian and Megan are 03:21 - SimplePractice's history with AI tools 05:38 - What therapists should know when adding AI to a practice 08:44 - Where clinicians can streamline with AI 12:23 - How to choose which AI features to adopt 16:10 - Why you can't fully trust AI, and best practices 19:29 - What clinicians should know about their data 21:13 - The Trust Center, and "are you here to replace therapists?" 23:55 - How AI systems are trained (the puppy analogy) 27:00 - White-label LLMs and the "golden data set" 29:11 - De-identified transcripts and the opt-in 31:40 - Current tools and the product roadmap Guest bios: Ian Knox is Chief Product Officer at SimplePractice, with prior product leadership at Expedia and Microsoft. Megan Toomey is Sr. Director of Clinical Support AI Product Management at SimplePractice, leading the team building AI tools for behavioral health clinicians, with prior experience at Microsoft and Amazon. Full show notes and transcript: mtsgpodcast.com Join the Modern Therapist Community Facebook Group: https://www.facebook.com/groups/therapyreimagined Modern Therapist's Survival Guide Creative Credits Voice Over by DW McCann: https://www.facebook.com/McCannDW/ Music by Crystal Grooms Mangano: https://groomsymusic.com/

This week, Dustin chats with Dr. Dave Duke, Chief Product Officer at McGraw Hill, about how AI is reshaping teaching, learning, and academic integrity in higher education. He highlights some new product developments for their learning tools as well as the recently released Sharpen Advantage.  Drawing on his background in psychology and product design, Dave explores how students make rational decisions about AI use, why traditional views of academic integrity are becoming more nuanced, and how institutions can better support students in developing meaningful AI proficiency for the workforce. Guest Name: Dr. Dave Duke, Chief Product Officer, McGraw Hill Guest Social: LinkedIn Guest Bio: Dave Duke, Psy.D. is the Chief Product Officer of McGraw Hill Higher Education, where he leads AI strategy, platform and content development, and product innovation. Originally trained as a Clinical Psychologist, Dr. Duke has deep expertise in learning science and has spent his entire career working at the intersection of learning and technology. Previously he served as the Chief Product Officer at ACI Learning, a global IT and cybersecurity training company supporting companies like Apple, Netflix, Boeing, GE, and Volkswagen, as well as government agencies like NASA, FDIC, and all branches of the U.S. military.   - - - -Connect With Our Host:Dustin Ramsdellhttps://www.linkedin.com/in/dustinramsdell/About The Enrollify Podcast Network:The Higher Ed Geek is a part of the Enrollify Podcast Network. If you like this podcast, chances are you'll like other Enrollify shows too!Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode of The Product Podcast by Product School, Carlos González de Villaumbrosia sits down with Amit Zavery, President and Chief Product Officer at ServiceNow. The platform runs more than 75 billion workflows a year with around $15 billion in annual revenue growing over 20%. Its market cap is above $100 billion, yet the stock is down more than 30% this past year, while its AI business is on track for $1.5 billion, ahead of a $1 billion plan. Amit previously ran product and platform at Oracle for over two decades and was a VP and General Manager at Google Cloud.What you'll learn:Why the market can't yet tell AI winners from losers, and why companies that don't transform will get killedWhy the idea of one company becoming the single end-to-end enterprise orchestrator is a fallacyThe spare part approach that makes most enterprise AI projects fail, and what pacesetters do insteadWhy access is shifting from user interfaces to agents, and what taking action actually requiresHow to hold long-term conviction on platform bets while the market judges you on short-term sentimentKey takeaways:Transform or die: the market will separate AI-native platforms from legacy vendorsInteroperability beats domination in the agentic eraGovernance only wins when it accelerates innovation, not when it blocks itCredits:Host: Carlos Gonzalez de VillaumbrosiaGuest: Amit ZaverySocial Links:Find out more about Product School hereFollow our Podcast on TikTok hereFollow Product School on LinkedIn here

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

In this episode of The Future of Identity Podcast, I'm joined by Zac Cohen, Chief Product Officer at Trulioo, one of the world's leading identity verification platforms. Having helped scale Trulioo from its earliest startup days into a global leader in identity verification, Zac brings a unique perspective on how trust, fraud prevention, reusable digital identities, and AI are reshaping the future of digital identity.Our conversation explores how identity verification has evolved beyond simple compliance into a continuous trust problem and why digital IDs, agentic AI, and intelligent risk engines are becoming essential building blocks for the next generation of online experiences.In this episode we explore:Why identity verification is evolving into a broader digital trust problem and how reusable digital identities fit alongside traditional verification methods.How enterprises can balance fraud prevention with seamless customer experiences by giving users multiple trusted verification options.Why continuous risk monitoring, behavioral intelligence, and lifecycle-based verification are becoming just as important as onboarding.How AI agents will transform digital identity and what organizations need to consider when verifying people, businesses, and autonomous agents working together.Why global identity ecosystems require intelligent orchestration across countries, regulations, and digital ID schemes to simplify adoption for enterprises.This episode is essential listening for anyone building identity, fraud, or trust infrastructure. Zac offers thoughtful insights into how enterprises can prepare for a future where reusable IDs, AI agents, and continuous trust all work together to create safer, lower-friction digital experiences.Thanks for listening, and if you found this conversation valuable, share it with someone else working to shape the future of digital identity.Learn more about Trulioo.Reach out to Riley (@rileyphughes) and Trinsic (@trinsic_id) on Twitter. We'd love to hear from you.Listen to the full episode on Apple Podcasts or Spotify, or find all ways to listen at trinsic.id/podcast.

Steve Johnson, Founder & Chief Product Officer at Insured.io and author of the Insurance UX Survival Guide. They are a complete customer experience platform, providing all of the channels that an insured might use to interact with an insurance company, as a bolt-on solution to any carrier management system. It allows you to easily deploy a policyholder portal, inbound and outbound text messaging, AI virtual agents, FNOL, etc. It allows smaller carrier to rival the experience of larger carriers at a significantly lower cost.Steve Johnson: https://www.linkedin.com/in/steve-johnson--/Insured.io: https://www.insured.ioThe Insurance UX Survival Guide: https://www.amazon.com/Insurance-Survival-Guide-Experiences-Expectations/

The role of the CFO is evolving rapidly. Finance leaders are expected to drive ​​strategy, manage risk, and deliver deeper business insight while navigating ​​​increasingly complex technology landscapes. In this episode, Owen McDonald ​​is joined by Gareth Priest, Chief Product Officer of Bottomline, to discuss how ​​the Office of the CFO is adapting in the age of AI.Together, they explore how disconnected data impacts decision-making, where ​AI is delivering value beyond automation, and why connected finance ​ecosystems are critical to managing risk and driving better business outcomes.#AI #FinanceTransformation #AIInFinance #OfficeOfTheCFO

In Episode 16 of Season 7 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Priya Enefer, Chief Information Officer at Hakluyt & Company, where they discuss why the tension between CIOs and CDOs isn't a people problem, but an organisational design problem.They explore how operating models, accountability, product thinking and executive alignment determine whether technology, data and AI become genuine competitive advantages or simply create duplication, politics and confusion.They also discuss:Why the tension between CIOs and CDOs is usually created by organisational design rather than the people themselves.Why every CIO role looks different and how organisational context should define the mandate.Why organisations should define accountabilities before they hire executives or choose job titles.Whether every organisation actually needs a Chief Data Officer.Why technology, data and product leadership must operate as one team if transformation is going to succeed.The lessons learned moving from Chief Product Officer to CIO and why she still thinks like a product leader.How separate technology, product and data strategies create duplication, confusion and competing priorities.Why product operating models fundamentally outperform traditional project delivery.Who should own AI and why there is no universal answer.Why many organisations are measuring AI activity instead of AI value and repeating mistakes made during previous technology waves.How AI risks becoming another executive land grab unless organisations are crystal clear on ownership and accountability.Why centralised data teams can become ivory towers.What the private sector can learn from government about delivering successful transformation.Why dashboards and insights in isolation is not leadership.Whether technology, product and data leadership roles will ultimately converge or simply become much more interconnected.Why organisational design, incentives and culture will ultimately matter far more than whichever AI model an organisation chooses.Thanks to our sponsor, Data & AI Literacy Academy.Data & AI Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation, through a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity.If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data & AI literacy first.At Data & AI Literacy Academy, they don't just teach data skills. They empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. They're bridging the gap between business and data teams, so they can all work towards aligned outcomes.From those taking their first steps in data & AI literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that they offer. They embed a deep data culture shift through a transformative change management programme.They take a people-first approach, working closely with your executive team to win the hearts and minds. We know this will drive the company-wide impact that data teams want to achieve.Get in touch and find out how you can unlock the full potential of data in your organisation. Learn more at www.dl-academy.com.

In this episode, hosts Candace Gillhoolley and Frank La Vigne are joined by Neil Katz, Chief Product Officer at Valantor AI—a four-time Emmy winner whose unconventional journey spans from technology startups to award-winning journalism, and now to the forefront of enterprise AI innovation.Neil shares his unique perspective on the evolution of AI, from the early days of digital design and machine learning, to building large-scale AI and document intelligence platforms for major organizations. The conversation explores the critical challenges of knowledge extraction, document comprehension, and securing sensitive data in today's era of sovereign AI. Together, they uncover the hidden complexities behind Retrieval-Augmented Generation (RAG), discuss the importance of hybrid search strategies, and reflect on where the field is heading as enterprise needs push the boundaries of what AI can do.Whether you're a data professional, an AI enthusiast, or just curious about how language models are transforming how we understand information, you won't want to miss this candid and thought-provoking deep dive into the future of AI and data integrity.LinksNeil on LinkedIn -https://www.linkedin.com/in/neilkatz/Watch on YouTube -https://www.youtube.com/watch?v=qf8qifz_RL8Time Stamps00:00 Early career in tech and journalism04:01 Early consumer AI experiences06:49 Early AI and machine learning developments11:43 Anthropic's new findings on AI models16:15 Data sovereignty in AI systems19:27 Implementing open source AI models22:49 Breaking down documents for models25:45 Understanding the RAG system process28:47 Challenges in AI data processing31:22 Challenges in RAG with Insurance Data36:35 Understanding and managing data security39:35 Early days with OpenAI GPT40:48 Explaining vector and similarity search46:57 The evolution of computing models47:29 Computing evolution to cloud and edge

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

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

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

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

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

Hanna Andersson has built one of the strongest emotional connections in children's apparel, and on this episode of Retail Refined, Kara Carter, Chief Product Officer, joins Melissa Gonzalez to unpack why. As Kara puts it, "anyone can make cute product, but not everyone will put the amount of intention and investment in the actual quality and construction of the product that we do."Kara's path to the C-suite is anything but linear. A former competitive basketball player, she credits the sport with teaching her grit and teamwork before a career-ending injury sent her looking for direction. She and a friend later launched a high-end children's resale concept years before secondhand shopping caught on ("we were ahead of our times," she says), and that early lesson in resale would resurface decades later at Hanna Andersson. She joined the brand in 2014 and now oversees merchandising, design, fabric R&D, sourcing, technical design, and quality across the entire product organization.The conversation digs into what actually makes a "Hanna" a Hanna: fabric weight, flatlock seams, a 60-wash durability test, and details like roomy cuffs designed so pajamas grow with the child. Kara also shares the evolution of Hanna-Me-Downs, the brand's peer-to-peer resale platform. Customers can cash out or take a Hanna gift card for their old pieces, and nearly 80% choose the gift card, then spend more than double its value back on the site, a cycle Kara calls "our love letter to our customer."The episode closes on where children's apparel is headed: more self-expression, more mixing and matching, more kids driving their own style earlier than ever. And in a rapid-fire moment, Kara shares a story about her daughter's "I am" poem, an exercise from grade school revisited in college, that ends with the line "I am family holiday pajamas," a moment Kara calls proof that Hanna Andersson creates more than clothes; it creates core memories.Connect with Kara Carter: https://www.linkedin.com/in/kara-connolly-carter-5a45266/Learn more about Hanna Andersson: https://www.hannaandersson.com/

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

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

AI is everywhere right now. But here's the question that really matters... Why are some dealerships getting great results while others are frustrated and wondering if AI is even worth it? In this episode, I sat down with Kevin, Chief Product Officer at Matador AI, to talk about what actually happens behind the scenes. How do they decide what features to build? What are they seeing across hundreds of dealerships? And what separates the stores that are making AI work from the ones that aren't? One thing really stood out to me... The technology usually isn't the problem. Adoption is. We talked about why AI isn't something you just turn on and hope for the best. It takes partnership, feedback, training, and leaders who are willing to keep improving right along with the technology. I also loved hearing how the Matador team studies real dealership conversations every single day to find friction, improve the product, and help dealers spot opportunities they didn't even know they were missing. If you're thinking about AI, already using it, or trying to figure out why your results aren't where you hoped they'd be, I think you'll get a lot from this conversation. We cover: Why dealerships struggle with AI adoption. How Matador learns from real customer conversations. What successful dealers are doing differently. Where AI is heading next in sales and service. Simple lessons any dealership can use, no matter what AI platform you're running. This is a conversation about building a dealership that's ready for what's next! Check out our sponsors! LotLinx.com is a VIN Management Platform that enables precision automotive retailing via /AI/ technologies that improves dealership profitability. Matador.ai, AI That Fully Automates Sales & Service Conversations For Dealerships.ZukiTalk.com helps service advisors by making clear, consistent MPI calls that educate customers and increase approvals. Dealer Talk with Jen Suzuki Podcast |  https://apple.co/38lmHM1  https://spoti.fi/3uQ2nd1 | Jennifer@edealersolution.com | 954-873-8029 | edealersolutions.com | Meet me! bit.ly/3J7011t  |  Loyalty-Based Selling Strategies on CBT News | https://bit.ly/3JlcXAx

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

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

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

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

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

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

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

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

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

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

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

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

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

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