Podcasts about Chief product officer

In this episode of FinTech Impact, host Jason Pereira interviews Nick Babinsky, Chief Product Officer at Solutions by Text (SBT). They discuss how SBT empowers financial services companies to engage with consumers through SMS and other messaging protocols. The conversation covers SBT's history, the benefits of text-based communications, regulatory challenges, and the future of text messaging in the financial industry. Nick shares insights on high engagement metrics, compliance complexities, and the evolving technology landscape. Tune in to learn how text messaging is transforming consumer interactions in the financial sector. Hosted on Acast. See acast.com/privacy for more information.

Gérald Marolf is the Chief Product Officer at On Running. Gérald oversees the full range of On's shoes, apparel and accessories to make sure each delivers performance, comfort and style. Before On, Gérald spent over a decade building consumer brands with collaborators such as Microsoft and Ferrari. AGENDA: 00:00 – Why Most "Great Products" Fail to Create Emotion 03:00 – How Perfume Taught Me Everything About Desire & Product 06:10 – The Brutal Reality of Building Physical vs Digital Products 16:00 – Why "Simple Design" Is Overrated and Dangerous 23:00 – Why Vuori is the Brand to Short in Consumer  28:30 – The Biggest Product Mistake: Listening to Customers Too Much 32:10 – On Only Do Tennis Because of Roger Federer 38:30 – Were We Too Late to Marathon Running? A Painful Admission 43:40 – The Most Controversial Product On Has Ever Launched 49:00 – Are Counterfeits Good or Bad in Fashion?  

About Madhu Pawar:Madhu Pawar is a board director and cross-disciplinary technology leader operating at the intersection of healthcare, data, and product innovation. She serves on the Board of Directors at Talkspace (NASDAQ: TALK) and is the Chief Product Officer for Optum Insight, where she drives product strategy and platform innovation across UnitedHealth Group's most critical assets. Prior to Optum, she spent over six years at Google leading the global SMB Ads product ecosystem—overseeing AI-driven insights platforms, multi-billion-dollar revenue lines, and large-scale engineering, product, and operations teams across multiple continents. Madhu also teaches consumer analytics in healthcare as an adjunct professor at Carnegie Mellon University. Earlier in her career, she was a partner in McKinsey's Global Healthcare Practice, where she built and scaled technology and services businesses for payers, providers, and fast-growth health companies. She began her career in software engineering at Hewlett-Packard Labs, earning patents in authentication and location-aware computing, followed by roles at PwC in security and technology. Madhu holds graduate degrees from Stanford School of Medicine and Carnegie Mellon University and a bachelor's in computer engineering from Nanyang Technological University.Things You'll Learn:Real-time data exchange between payers and providers can significantly reduce the confusion, delays, and costs associated with today's claims processes. AI-enabled reasoning over contracts and encounters improves accuracy from the start.Optum Real aims to bridge the transparency gap by connecting stakeholders through a multi-party hub, enabling real-time understanding of coverage and reimbursement. Early pilots show tangible reductions in denials and improved patient clarity.The majority of first-time denied claims are avoidable, signaling an industry-wide opportunity to remove unnecessary rework. Solving this problem increases efficiency for providers, payers, and patients.Real-time intelligence opens the door for more effective value-based care arrangements. When providers can see financial implications instantly, incentives align more naturally.The long-term vision includes real-time payment flows, AI-driven clinical decision support, and improved patient engagement. Breaking down paper-based silos will unlock entirely new use cases at scale.Resources:Connect with and follow Madhu Pawar on LinkedIn.Follow Optum on LinkedIn and visit their website.

In this episode of Between Product and Partnerships, Cristina Flaschen speaks with Mike Gelber, Chief Product Officer at Impiricus, about his career path and the experiences that shaped his approach to product leadership in healthcare. Mike's background spans finance, ad tech, and healthcare, and his move into product reflects a steady pull toward roles that combine technical depth with proximity to real users. Throughout the conversation, he shares how those experiences influenced the way he approaches product decisions, partnerships, and growth in a regulated environment.From Finance to Product ThinkingMike began his career at JP Morgan, where he quickly gravitated toward building tools that made work more efficient. Teaching himself to automate tasks introduced him to software development and revealed the leverage technology could provide. That curiosity led him into ad tech, where working closely with customers helped him connect system design with real usage. Over time, product became the natural intersection between building technology and understanding how people actually work.Why Founding a Company Accelerated His GrowthStarting a company brought Mike closer to customers and everyday decision-making. Choices carried immediate consequences, which sharpened his sense of focus and sequencing. The experience also exposed him to areas of the business that are often distant from product roles, shaping a broader understanding of how products are built, sold, and sustained over time.Lessons from Building and Exiting LassoMike reflects on building Lasso and guiding it through growth before its acquisition by IQVIA. A defining lesson from that journey was the importance of validating demand early. Proving value through direct execution helped guide product direction and informed how he now thinks about product-market fit. That experience reinforced the importance of grounding decisions in real usage rather than assumptions.Joining ImpiricusAfter the acquisition, Mike joined Impiricus as Chief Product Officer. He initially questioned whether SMS could be an effective channel in healthcare. Spending time with the product in real-world settings changed that perspective, particularly as he observed how clinicians interacted with it during day-to-day work. Those experiences helped clarify the product's role in supporting healthcare providers.Defining Success in Healthcare ProductMike describes success at Impiricus through outcomes and experience. Pharmaceutical partners measure impact through prescribing behavior, while healthcare providers encounter fewer barriers when supporting patients. The most meaningful signals come from moments where the product quietly fits into existing workflows and reduces friction without drawing attention to itself.Timing, Integration, and RelevanceThe conversation returns often to timing. Mike explains how Impiricus uses data and integrations to engage healthcare providers when support is most relevant. This approach allows the product to fit naturally into clinical workflows, which is critical in environments where attention is limited.Looking AheadMike shares what's next for Impiricus, including the launch of a new product called Ascend and continued momentum following recognition on Deloitte's Fast 500 list. As the company grows, the focus remains on staying close to healthcare providers and maintaining the product principles that shaped its early success. Cristina closes the episode by reflecting on how Mike's journey illustrates how product leadership evolves inside regulated industries.

What does it take to build truly product-driven engineering teams? In this episode, Matt Watson — founder and CEO of Full Scale and author of Product Driven — joins Lily and Randy to challenge the longstanding silos between product and engineering. Drawing on 25+ years of experience and four tech ventures, Matt makes the case for why developers need more than just code to care about: they need context, ownership, and clarity.From redefining “done” to the evolving role of AI in software teams, this conversation dives into how product leaders can foster a culture where engineers aren't just implementers, but co-creators of customer value.Chapters0:00 – Why “no feedback” is a warning sign, not success1:46 – Matt's journey: from developer to founder2:58 – Thinking outside the code: how the book Product Driven started4:50 – Why many engineers don't think about the customer5:57 – The rise of product managers and the walling off of engineers6:56 – Redefining the role of PMs in cross-functional teams9:01 – Metrics, measurement, and the illusion of progress10:57 – Ownership as the root of productivity13:04 – Code monkeys, culture, and killing creativity14:55 – Communicating context: five minutes that save weeks17:04 – AI and the changing definition of developer productivity20:32 – External value vs internal tech debt22:48 – The Product Driven model: Vision, Focus, Clarity, Shared Ownership, Courage27:08 – Why courage is the starting point for changeOur 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.

The Future of Video Is Generative, And It's Closer Than You ThinkIn this snippet, Samuel Beek, Chief Product Officer at VEED, shares a bold prediction: Video is currently going through a crazy transformation, and staying relevant online now means producing tons and tons of video.But creating all that manually?

Risk has always been part of doing business. What has changed is its scale, speed, and interconnected nature. In this episode, Sean Martin and Marco Ciappelli are joined by Megha Kumar, Chief Product Officer and Head of Geopolitical Risk at CyXcel, to explore how organizations can think more clearly about digital risk without becoming paralyzed by complexity.Kumar shares how digital resilience is no longer a technical problem alone. Regulations, infrastructure dependencies, geopolitical tensions, supply chain exposure, and emerging technologies such as AI now converge into a single operational reality. Organizations that treat these as isolated issues often miss the real picture, where one decision quietly amplifies risk across multiple domains.A central theme of the conversation is proportion. Kumar emphasizes that risk management is not about eliminating uncertainty, but aligning effort with value. Not every threat matters equally to every organization. Understanding who you are, where you operate, and where you are going determines which signals deserve attention and which are simply noise.The discussion also reframes geopolitics as a daily business concern rather than a distant policy issue. Companies operate inside global power dynamics whether they acknowledge it or not. Technology choices, supplier relationships, and market expansion decisions increasingly carry political and regulatory consequences that surface quickly and without warning.Rather than advocating for massive new departments or rigid frameworks, Kumar outlines a practical approach. Organizations can decide whether to avoid, mitigate, transfer, or tolerate risk, then revisit those decisions as conditions change. This mindset supports growth and innovation while avoiding the false comfort of static checklists.The episode closes on culture. Effective risk management depends on listening across roles, disciplines, and seniority. Internal dissent, diverse viewpoints, and external validation are presented as assets, not obstacles. In a world where uncertainty is constant, resilience comes from clarity, not control.Learn more about CyXcel: https://itspm.ag/cyxcel-922331Note: This story contains promotional content. Learn more.GUESTMegha Kumar, Partner, Chief Product Officer & Head of Geopolitical Risk at CyXcel | On LinkedIn: https://www.linkedin.com/in/drmeghakumarcyxcel/RESOURCESLearn more and catch more stories from CyXcel: https://www.itspmagazine.com/directory/cyxcelAre you interested in telling your story?▶︎ Full Length Brand Story: https://www.studioc60.com/content-creation#full▶︎ Spotlight Brand Story: https://www.studioc60.com/content-creation#spotlight▶︎ Highlight Brand Story: https://www.studioc60.com/content-creation#highlight 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 Talk Commerce, Brent Peterson interviews Justin Aronstein, Chief Product Officer at Mobile1st. They discuss the importance of revenue per visitor in e-commerce, the role of friction in the shopping experience, and key metrics for success. Justin shares insights on the future of AI in e-commerce, the necessity of mobile-first design, and practical advice for preparing for the holiday sales season. The conversation emphasizes understanding customer needs and creating a seamless shopping experience.Mobile1st focuses on increasing revenue per visitor.Friction in the shopping experience can be beneficial if used correctly.Conversion rates are not the most important metric; revenue per visitor is key.Understanding customer emotions is crucial for driving sales.AI is becoming increasingly important in e-commerce, but traditional channels still matter.Designing for mobile is essential as most traffic comes from mobile devices.Product detail pages should address customer concerns and build trust.Hard abandonment campaigns can help recover lost sales.E-commerce directors face unique challenges that require tailored solutions.Having fun at work is essential for job satisfaction.Chapters00:00Introduction to Justin Aronstein02:13Mobile First: Revolutionizing E-commerce04:42Understanding User Insights and Emotional Connection10:38Key Metrics for E-commerce Success12:45The Future of AI in E-commerce16:27Designing for Mobile: The Ongoing Challenge21:43Preparing for Black Friday: Essential Tips24:34Introduction to Personal Freedom24:35The Power of Choice

If your “business development strategy” is do great work + hope clients stay loyal, I have bad news: that strategy has been officially declared dead on arrival. In this episode, Nicole sits down with Karen Freeman, Chief Product Officer at DCM Insights and co-author of The Activator Advantage, to break down why client loyalty is collapsing—and what the best “rainmakers” are doing instead. Spoiler: they're not waiting around to be chosen. They're activating.  What you'll learn: Why client loyalty is shrinking (even when you are excellent at your job) The buyer behavior shift: from “we trust you” to “we're still taking calls, though” Practical ways to build a stronger pipeline without turning into a sleazy salesperson How AI + procurement + buying committees are changing the game (and the budget) The Activator playbook (aka: stop crossing your fingers) Commit: plan BD weekly (yes, even when you're busy) Connect: treat your network like an asset, not a dusty LinkedIn list Create value: show up before the ask with insight, context, and solutions Because “doing good work” is table stakes. Activating is how you win, retain, and grow today. Thank you to our sponsors! Get 20% off your first order at curehydration.com/WOMANSWORK with code WOMANSWORK — and if you get a post-purchase survey, mention you heard about Cure here to help support the show!  Sex is a skill. Beducated is where you learn it. Visit https://beducate.me/pd2550-womanswork and use code womanswork for 50% off the annual pass. Connect with Karen: Book: https://www.dcminsights.com/activator-advantage  Karen's LI: https://www.linkedin.com/in/karenefreeman/ DCM insights's LI: https://www.linkedin.com/company/dcm-insights/ Related Podcast Episodes Powerfully Likeable with Dr. Kate Mason | 364  From Small Business to Big Impact: Leadership, Confidence, & Community | 362  The 3 N's: Negotiation, Networking & No with Kathryn Valentine | 327 Share the Love: If you found this episode insightful, please share it with a friend, tag us on social media, and leave a review on your favorite podcast platform!

This is an excerpt from the 7th Annual Gabelli Columbia Business School Healthcare Symposium, held on November 14th, 2025. Moderator -- Daniel Barasa, Portfolio Manager at Gabelli Asset Management;HealthEquity – Brad Bennion, EVP Strategy and Corporate Development; WEX – Chris Byrd, SVP, Health and Benefits; Aetna – Jill Dailey, VP, Head of Commercial Product ; Oscar Health – Jesse Horowitz, Chief Product Officer;To learn more about Gabelli Funds' fundamental, research-driven approach to investing, visit https://m.gabelli.com/gtv_cu or email invest@gabelli.com. Connect with Gabelli Funds: • X - https://x.com/InvestGabelli • Instagram - https://www.instagram.com/investgabelli/ • Facebook - https://www.facebook.com/InvestGabelli • LinkedIn - https://www.linkedin.com/company/investgabelli/ http://www.Gabelli.com Invest with Us 1-800-GABELLI (800-422-3554)

Andrew Casale, CEO, Index Exchange, and Megan Pagliuca, Chief Product Officer, Omnicom Media Group, unpack how live sports and streaming are becoming more addressable through programmatic, why new standards are fixing real-time “spike” problems, and how sell-side decisioning and AI-driven curation could reshape efficiency and fees across the open internet. Takeaways Live sports are becoming truly addressable through programmatic. Targeting is shifting to moment-level signals, not broad demos. Standards like podding and advanced ad requests reduce live break spikes. Pre-fetching and smarter pacing keep delivery stable. Sell-side decisioning now happens earlier and faster. That speed opens new optimization before bids reach DSPs. The supply chain may be split into modular parts to cut fees. AI is already boosting inclusion lists, safety, and creative workflows. Chapter 00:10 Intro to live sports and programmatic. 00:45 Megan on addressable “magic moments” in live sports. 03:12 Andrew on podding standards for live streams. 04:23 How advanced ad requests prevent break spikes. 06:36 What sell-side decisioning is and why it's faster now. 09:50 Two futures: bundled platforms or unbundled chain. 15:07 Megan on SPO and tighter partner sets. 17:45 Practical AI wins in lists, safety, and creativity. 23:20 Rapid-fire predictions for 2026. Learn more about your ad choices. Visit megaphone.fm/adchoices

Kieran Devlin sits down with Bill Dellara, Chief Product Officer at VOSS, to unpack one of the biggest shifts happening in enterprise communications: the convergence of unified communications (UC) and contact center (CC). As organizations chase better experiences, lower costs, and smarter operations, we reveal how aligning UC and CC can unlock powerful outcomes for both customers and employees.With decades of experience at the heart of UC transformation, Bill Dellara shares practical insights into why the UC+CC revolution is no longer optional—and how VOSS is uniquely positioned to lead the charge. From overcoming the fear of change to deploying AI-powered experiences, this session is rich in strategy and real-world takeaways.

This week on ASUG Talks, SAP Cloud ALM takes center stage. I am joined by two guests offering different perspectives about the solution. Bryce Lightner, Enterprise Solutions and Operations Architect at Woodstream Corporation, discussed his experience using the solution, while Sören Ruder, Chief Product Officer (CPO) and Head of Customer Experience & Solutions (CXS) at SAP, joined the podcast to articulate the value of SAP Cloud ALM and where it fits into the portoflio. Key InsightsHow SAP Cloud ALM helped Woodstream optimize its project management capabilitiesThe impact SAP Cloud ALM can have on enterprises as they undertake business transformationsHow SAP Cloud ALM can also help organizations with their AI journeysRelated Insights Read ASUG editorial's interview with Irfan Khan, President and Chief Product Officer of SAP Data & Analytics, about SAP Business Data Cloud

What better way to end the season than with our IBM Z Day special—featuring Tina Tarquinio, Chief Product Officer for IBM Z & LinuxONE, and Rebecca Levesque, Founder & CRO at 21CS. From AI + infrastructure to security, sustainability, and mentorship, Tina and Rebecca share smart, lively insights to help you go from New to Z to trusted SME—plus a few great stories along the way.

PORTLAND, OR – In a move to reshape how physicians connect with job opportunities, healthcare recruitment startup Beginly Health announced on Monday its acquisition of ProviderJobs.com. The deal includes the integration of ProviderJobs' video-first recruitment technology and the appointment of its founder, Brian Forrester, as Beginly's new Chief Product Officer. https://hrtechfeed.com/physician-job-discovery-app-acquired/ Other headlines https://hrtechfeed.com/hr-tech-bytes-5/ HR Tech execs on the move https://hrtechfeed.com/hr-tech-execs-on-the-move-13/ Learn more about your ad choices. Visit megaphone.fm/adchoices

How Theta Lake is Redefining AI Governance for Enterprise Collaboration PlatformsWhat does it really take to balance cutting-edge AI with the hard rules of compliance? In this exclusive interview, Rob Scott from UC Today sits down with Dan Nadir, Chief Product Officer at Theta Lake, to explore how AI is transforming enterprise communications—and why compliance can no longer be an afterthought.Dan shares his unique journey from cognitive science graduate to CPO, diving deep into the evolution of AI governance and the real-world challenges facing regulated industries. With Theta Lake recognized as a Visionary in Gartner's Magic Quadrant, this isn't just a story about product innovation—it's a masterclass in how to enable AI safely and responsibly.Whether you're trying to launch Copilot, Zoom AI Companion, or simply ensure your whiteboards, chat, and UC tools are compliant, this conversation is packed with hard-won insights from the frontlines of product development.

SEASON 2 - EPISODE 171 - LEDs - with Jeffrey Lee, Ph.D. In this episode of the Team Deakins Podcast, we return to the world of LEDs. After speaking with Tim S. Kang (Season 2, Episode 165), we realized we had even more questions! To answer them, we invited Jeffrey Lee, Ph.D. who works at Fiilex Lighting as its Chief Product Officer to speak with us. We learn how Jeff's background in biology and physics and interest in the physical properties of light led him to work at Fiilex, and he shares what the company is doing to address the bottlenecks inhibiting further innovation in LED fixture design. Our questions run the gamut (again) on LED lighting technology, and Jeff teaches us how colour is really emitted from the fixtures. We also discuss how filmmakers and engineers deal with the spikes in a given fixture's colour spectrum, and we brainstorm future possibilities of the lights' designs. Plus, we learn the best tool to use to light worms, and we accidentally develop a new task for Jeff's intern. - This episode is sponsored by Aputure

In this episode, Brian Berkowitz, Chief Product Officer at Lyric, discusses how AI, data, and trusted intelligence zones can reduce administrative friction, strengthen collaboration between payers and providers, and build a more transparent and efficient payment integrity ecosystem.This episode is sponsored by Lyric.ai.

In this episode, Prerna Singh, CPTO at Avaaz, walks us through how AI is reshaping the way we prototype, learn and build digital products. Rather than replacing teams or skipping straight to production, she argues that AI shines when used as a “thought partner” to accelerate early‑stage experimentation. Through her own journey building a community platform on weekends, she demonstrates how tools like ChatGPT, Lovable (and later Claude / Replet) and Figma AI enabled her to move from blank page to clickable prototype in hours — while retaining the human insight, iteration and context that underpin good product work. The conversation reframes common assumptions about “fast‑AI = bypass human work,” and instead proposes a balanced adoption path: start in “sandbox mode,” learn and play — before graduating to “architect mode” where the real value to business begins.Chapters00:00 – Introduction & AI's impact on product cycles01:43 – Meet Prerna Singh: her background in product and community building03:50 – The community problem: logistics over connection05:11 – Turning to AI to solve her own problem06:50 – What AI can't do: user insight and human judgment08:08 – From waterfall to short-cycle prototyping10:54 – Using ChatGPT as a Socratic thought partner13:07 – Working solo vs team: where AI fits17:17 – From prompt to prototype: using Lovable19:06 – Iterating with Figma AI and other tools23:00 – Real feedback from real users25:02 – Creating a feedback knowledge base with AI26:16 – AI vs design sprints: same principles, new toolsOur 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.

Speakers: ● Todd Eury – CEO, The Pharmacy Podcast Network (Moderator/Host) ● Calvin Hunsicker – Co-Founder & Chief Product Officer, SureCost (Product Vision & Innovation Lens) ● Amy Cruse, Vice President, Pharmacy, AmPharm ● Marsha K. Millonig, MBA, BPharm – President & CEO, Catalyst Enterprises  –Pharmacy Industry Perspective

"If you don't go on the journey, you risk being left behind. The key is to try, learn, and apply AI in a way that creates real value." - Fang Chang, EVP and Chief Product Officer at SAP AI isn't just another feature on your tech checklist. It's changing the way procurement teams deliver impact… but only for those bold enough to rethink from the ground up.  In this podcast episode, host Philip Ideson speaks with Fang Chang, EVP and Chief Product Officer at SAP, who shares what it looks like to rebuild an established platform like Ariba on a true AI foundation. Fang's team didn't just layer new tech onto old workflows; they tore everything down and rebuilt with AI at the core.  If you've ever asked whether your team should wait for the "next" wave of AI innovation or start learning by doing, this conversation is a must-listen. Fang walks through technical choices, balancing agility with reliability, and what an AI-powered procurement experience now enables for the business. In this episode, Fang discusses: Why simply layering AI onto legacy tools leaves value on the table How to decide where AI creates business outcomes… and where it doesn't What real agility looks like in a fast-evolving AI landscape How contextual "insights to action" bring value at every step The new balance of human oversight with AI-driven workflows Links: Fang Chang on LinkedIn Subscribe to This Week in Procurement Subscribe to Art of Procurement on YouTube  

Today's marketing environment is shaped by a vast and fragmented array of channels and platforms that are all competing for attention and budget. This complexity has made media buying more challenging, requiring marketers to carefully navigate a crowded space while balancing reach and effectiveness. The real difficulty doesn't just come from choosing the right platforms - it's ensuring that every decision supports overarching strategic objectives, from boosting immediate conversions to building lasting brand loyalty. Artificial Intelligence is becoming a game-changer in this space, providing innovative tools to simplify decision-making and enhance campaign performance. It might only be a two letter acronym, but A.I. is profoundly transforming everything that we do and how we do it. In this new episode of MediaTalks, we spoke to David Dworin, Chief Product Officer at FreeWheel, to discuss his views on the impact of AI in our industry and the opportunities it can bring.

Every few years, the world of product management goes through a phase shift. When I started at Microsoft in the early 2000s, we shipped Office in boxes. Product cycles were long, engineering was expensive, and user research moved at the speed of snail mail. Fast forward a decade and the cloud era reset the speed at which we build, measure, and learn. Then mobile reshaped everything we thought we knew about attention, engagement, and distribution.Now we are standing at the edge of another shift. Not a small shift, but a tectonic one. Artificial intelligence is rewriting the rules of product creation, product discovery, product expectations, and product careers.To help make sense of this moment, I hosted a panel of world class product leaders on the Fireside PM podcast:• Rami Abu-Zahra, Amazon product leader across Kindle, Books, and Prime Video• Todd Beaupre, Product Director at YouTube leading Home and Recommendations• Joe Corkery, CEO and cofounder of Jaide Health • Tom Leung (me), Partner at Palo Alto Foundry• Lauren Nagel, VP Product at Mezmo• David Nydegger, Chief Product Officer at OvivaThese are leaders running massive consumer platforms, high stakes health tech, and fast moving developer tools. The conversation was rich, honest, and filled with specific examples. This post summarizes the discussion, adds my own reflections, and offers a practical guide for early and mid career PMs who want to stay relevant in a world where AI is redefining what great product management looks like.Table of Contents* What AI Cannot Do and Why PM Judgment Still Matters* The New AI Literacy: What PMs Must Know by 2026* Why Building AI Products Speeds Up Some Cycles and Slows Down Others* Whether the PM, Eng, UX Trifecta Still Stands* The Biggest Risks AI Introduces Into Product Development* Actionable Advice for Early and Mid Career PMs* My Takeaways and What Really Matters Going Forward* Closing Thoughts and Coaching Practice1. What AI Cannot Do and Why PM Judgment Still MattersWe opened the panel with a foundational question. As AI becomes more capable every quarter, what is left for humans to do. Where do PMs still add irreplaceable value. It is the question every PM secretly wonders.Todd put it simply: “At the end of the day, you have to make some judgment calls. We are not going to turn that over anytime soon.”This theme came up again and again. AI is phenomenal at synthesizing, drafting, exploring, and narrowing. But it does not have conviction. It does not have lived experience. It does not feel user pain. It does not carry responsibility.Joe from Jaide Health captured it perfectly when he said: “AI cannot feel the pain your users have. It can help meet their goals, but it will not get you that deep understanding.”There is still no replacement for sitting with a frustrated healthcare customer who cannot get their clinical data into your system, or a creator on YouTube who feels the algorithm is punishing their art, or a devops engineer staring at an RCA output that feels 20 percent off.Every PM knows this feeling: the moment when all signals point one way, but your gut tells you the data is incomplete or misleading. This is the craft that AI does not have.Why judgment becomes even more important in an AI worldDavid, who runs product at a regulated health company, said something incredibly important: “Knowing what great looks like becomes more essential, not less. The PM's that thrive in AI are the ones with great product sense.”This is counterintuitive for many. But when the operational work becomes automated, the differentiation shifts toward taste, intuition, sequencing, and prioritization.Lauren asked the million dollar question. “How are we going to train junior PMs if AI is doing the legwork. Who teaches them how to think.”This is a profound point. If AI closes the gap between junior and senior PMs in execution tasks, the difference will emerge almost entirely in judgment. Knowing how to probe user problems. Knowing when a feature is good enough. Knowing which tradeoffs matter. Knowing which flaw is fatal and which is cosmetic.AI is incredible at writing a PRD. AI is terrible at knowing whether the PRD is any good.Which means the future PM becomes more strategic, more intuitive, more customer obsessed, and more willing to make thoughtful bets under uncertainty.2. The New AI Literacy: What PMs Must Know by 2026I asked the panel what AI literacy actually means for PMs. Not the hype. Not the buzzwords. The real work.Instead of giving gimmicky answers, the discussion converged on a clear set of skills that PMs must master.Skill 1: Understanding context engineeringDavid laid this out clearly: “Knowing what LMS are good at and what they are not good at, and knowing how to give them the right context, has become a foundational PM skill.”Most PMs think prompt engineering is about clever phrasing. In reality, the future is about context engineering. Feeding models the right data. Choosing the right constraints. Deciding what to ignore. Curating inputs that shape outputs in reliable ways.Context engineering is to AI product development what Figma was to collaborative design. If you cannot do it, you are not going to be effective.Skill 2: Evals, evals, evalsRami said something that resonated with the entire panel: “Last year was all about prompts. This year is all about evals.”He is right.• How do you build a golden dataset.• How do you evaluate accuracy.• How do you detect drift.• How do you measure hallucination rates.• How do you combine UX evals with model evals.• How do you decide what good looks like.• How do you define safe versus unsafe boundaries.AI evaluation is now a core PM responsibility. Not exclusively. But PMs must understand what engineers are testing for, what failure modes exist, and how to design test sets that reflect the real world.Lauren said her PMs write evals side by side with engineering. That is where the world is going.Skill 3: Knowing when to trust AI output and when to override itTodd noted: “It is one thing to get an answer that sounds good. It is another thing to know if it is actually good.”This is the heart of the role. AI can produce strategic recommendations that look polished, structured, and wise. But the real question is whether they are grounded in reality, aligned with your constraints, and consistent with your product vision.A PM without the ability to tell real insight from confident nonsense will be replaced by someone who can.Skill 4: Understanding the physics of model changesThis one surprised many people, but it was a recurring point.Rami noted: “When you upgrade a model, the outputs can be totally different. The evals start failing. The experience shifts.”PMs must understand:• Models get deprecated• Models drift• Model updates can break well tuned prompts• API pricing has real COGS implications• Latency varies• Context windows vary• Some tasks need agents, some need RAG, some need a small finetuned modelThis is product work now. The PM of 2026 must know these constraints as well as a PM of the cloud era understood database limits or API rate limits.Skill 5: How to construct AI powered prototypes in hours, not weeksIt now takes one afternoon to build something meaningful. Zero code required. Prompt, test, refine. Whether you use Replit, Cursor, Vercel, or sandboxed agents, the speed is shocking.But this makes taste and problem selection even more important. The future PM must be able to quickly validate whether a concept is worth building beyond the demo stage.3. Why Building AI Products Speeds Up Some Cycles and Slows Down OthersThis part of the conversation was fascinating because people expected AI to accelerate everything. The panel had a very different view.Fast: Prototyping and concept validationLauren described how her teams can build working versions of an AI powered Root Cause Analysis feature in days, test it with customers, and get directional feedback immediately.“You can think bigger because the cost of trying things is much lower,” she said.For founders, early PMs, and anyone validating hypotheses, this is liberating. You can test ten ideas in a week. That used to take a quarter.Slow: Productionizing AI featuresThe surprising part is that shipping the V1 of an AI feature is slower than most expect.Joe noted: “You can get prototypes instantly. But turning that into a real product that works reliably is still hard.”Why. Because:• You need evals.• You need monitoring.• You need guardrails.• You need safety reviews.• You need deterministic parts of the workflow.• You need to manage COGS.• You need to design fallbacks.• You need to handle unpredictable inputs.• You need to think about hallucination risk.• You need new UI surfaces for non deterministic outputs.Lauren said bluntly: “Vibe coding is fast. Moving that vibe code to production is still a four month process.”This should be printed on a poster in every AI startup office.Very Slow: Iterating on AI powered featuresAnother counterintuitive point. Many teams ship a great V1 but struggle to improve it significantly afterward.David said their nutrition AI feature launched well but: “We struggled really hard to make it better. Each iteration was easy to try but difficult to improve in a meaningful way.”Why is iteration so difficult.Because model improvements may not translate directly into UX improvements. Users need consistency. Drift creates churn. Small changes in context or prompts can cause large changes in behavior.Teams are learning a hard truth: AI powered features do not behave like typical deterministic product flows. They require new iteration muscles that most orgs do not yet have.4. The PM, Eng, UX Trifecta in the AI EraI asked whether the classic PM, Eng, UX triad is still the right model. The audience was expecting disagreement. The panel was surprisingly aligned.The trifecta is not going anywhereRami put it simply: “We still need experts in all three domains to raise the bar.”Joe added: “AI makes it possible for PMs to do more technical work. But it does not replace engineering. Same for design.”AI blurs the edges of the roles, but it does not collapse them. In fact, each role becomes more valuable because the work becomes more abstract.• PMs focus on judgment, sequencing, evaluation, and customer centric problem framing• Engineers focus on agents, systems, architecture, guardrails, latency, and reliability• Designers focus on dynamic UX, non deterministic UX patterns, and new affordances for AI outputsWhat does changeAI makes the PM-Eng relationship more intense. The backbone of AI features is a combination of model orchestration, evaluation, prompting, and context curation. PMs must be tighter than ever with engineering to design these systems.David noted that his teams focus more on individual talents. Some PMs are great at context engineering. Some designers excel at polishing AI generated layouts. Some engineers are brilliant at prompt chaining. AI reveals strengths quickly.The trifecta remains. The skill distribution within it evolves.5. The Biggest Risks AI Introduces Into Product DevelopmentWhen we asked what scares PMs most about AI, the conversation became blunt and honest. Risk 1: Loss of user trustLauren warned: “If people keep shipping low quality AI features, user trust in AI erodes. And then your good AI product suffers from the skepticism.”This is very real. Many early AI features across industries are low quality, gimmicky, or unreliable. Users quickly learn to distrust these experiences.Which means PMs must resist the pressure to ship before the feature is ready.Risk 2: Skill atrophyTodd shared a story that hit home for many PMs. “Junior folks just want to plug in the prompt and take whatever the AI gives them. That is a recipe for having no job later.”PMs who outsource their thinking to AI will lose their judgment. Judgment cannot be regained easily.This is the silent career killer.Risk 3: Safety hazards in sensitive domainsDavid was direct: “If we have one unsafe output, we have to shut the feature off. We cannot afford even small mistakes.”In healthcare, finance, education, and legal industries, the tolerance for error is near zero. AI must be monitored relentlessly. Human in the loop systems are mandatory. The cycles are slower but the stakes are higher.Risk 4: The high bar for AI compared to humansJoe said something I have thought about for years: “AI is held to a much higher standard than human decision making. Humans make mistakes constantly, but we forgive them. AI makes one mistake and it is unacceptable.”This slows adoption in certain industries and creates unrealistic expectations.Risk 5: Model deprecation and instabilityRami described a real problem AI PMs face: “Models get deprecated faster than they get replaced. The next model is not always GA. Outputs change. Prompts break.”This creates product instability that PMs must anticipate and design around.Risk 6: Differentiation becomes hardI shared this perspective because I see so many early stage startups struggle with it.If your whole product is a wrapper around an LLM, competitors will copy you in a week. The real differentiation will not come from using AI. It will come from how deeply you understand the customer, how you integrate AI with proprietary data, and how you create durable workflows.6. Actionable Advice for Early and Mid Career PMsThis was one of my favorite parts of the panel because the advice was humble, practical, and immediately useful.A. Develop deep user empathy. This will become your biggest differentiator.Lauren said it clearly: “Maintain your empathy. Understand the pain your user really has.”AI makes execution cheap. It makes insight valuable.If you can articulate user pain precisely.If you can differentiate surface friction from underlying need.If you can see around corners.If you can prototype solutions and test them in hours.If you can connect dots between what AI can do and what users need.You will thrive.Tactical steps:• Sit in on customer support calls every week.• Watch 10 user sessions for every feature you own.• Talk to customers until patterns emerge.• Ask “why” five times in every conversation.• Maintain a user pain log and update it constantly.B. Become great at context engineeringThis will matter as much as SQL mattered ten years ago.Action steps:• Practice writing prompts with structured context blocks.• Build a library of prompts that work for your product.• Study how adding, removing, or reordering context changes output.• Learn RAG patterns.• Learn when structured data beats embeddings.• Learn when smaller local models outperform big ones.C. Learn eval frameworksThis is non negotiable.You need to know:• Precision vs recall tradeoffs• How to build golden datasets• How to design scenario based evals for UX• How to test for hallucination• How to monitor drift• How to set quality thresholds• How to build dashboards that reflect real world input distributionsYou do not need to write the code.You do need to define the eval strategy.D. Strengthen your product senseYou cannot outsource product taste.Todd said it best: “Imagine asking AI to generate 20 percent growth for you. It will not tell you what great looks like.”To strengthen your product sense:• Review the best products weekly.• Take screenshots of great UX patterns.• Map user flows from apps you admire.• Break products down into primitives.• Ask yourself why a product decision works.• Predict what great would look like before you design it.The PMs who thrive will be the ones who can recognize magic when they see it.E. Stay curiousRami's closing advice was simple and perfect: “Stay curious. Keep learning. It never gets old.”AI changes monthly. The PM who is excited by new ideas will outperform the PM who clings to old patterns.Practical habits:• Read one AI research paper summary each week.• Follow evaluation and model updates from major vendors.• Build at least one small AI prototype a month.• Join AI PM communities.• Teach juniors what you learn. Nothing accelerates mastery faster.F. Embrace velocity and side projectsTodd said that some of his biggest career breakthroughs came from solving problems on the side.This is more true now than ever.If you have an idea, you can build an MVP over a weekend. If it solves a real problem, someone will notice.G. Stay close to engineeringNot because you need to code, but because AI features require tighter PM engineering collaboration.Learn enough to be dangerous:• How embeddings work• How vector stores behave• What latency tradeoffs exist• How agents chain tasks• How model versioning works• How context limits shape UX• Why some prompts blow up API costsIf you can speak this language, you will earn trust and accelerate cycles.H. Understand the business deeplyJoe's advice was timeless: “Know who pays you and how much they pay. Solve real problems and know the business model.”PMs who understand unit economics, COGS, pricing, and funnel dynamics will stand out.7. Tom's Takeaways and What Really Matters Going ForwardI ended the recording by sharing what I personally believe after moderating this discussion and working closely with a variety of AI teams over the past 2 years.Judgment becomes the most valuable PM skillAs AI gets better at analysis, synthesis, and execution, your value shifts to:• Choosing the right problem• Sequencing decisions• Making 55 45 calls• Understanding user pain• Making tradeoffs• Deciding when good is good enough• Defining success• Communicating vision• Influencing the orgAgents can write specs.LLMs can produce strategies.But only humans can choose the right one and commit.Learning speed becomes a competitive advantageI said this on the panel and I believe it more every month.Because of AI, you now have:• Infinite coaches• Infinite mentors• Infinite experts• Infinite documentation• Infinite learning loopsA PM who learns slowly will not survive the next decade. Curiosity, empathy, and velocity will separate great from goodMany panelists said versions of this. The common pattern was:• Understand users deeply• Combine multiple tools creatively• Move quickly• Learn constantlyThe future rewards generalists with taste, speed, and emotional intelligence.Differentiation requires going beyond wrapper appsThis is one of my biggest concerns for early stage founders. If your entire product is a wrapper around a model, you are vulnerable.Durable value will come from:• Proprietary data• Proprietary workflows• Deep domain insight• Organizational trust• Distribution advantage• Safety and reliability• Integration with existing systemsAI is a component, not a moat.8. Closing ThoughtsHosting this panel made me more optimistic about the future of product management. Not because AI will not change the job. It already has. But because the fundamental craft remains alive.Product management has always been about understanding people, making decisions with incomplete information, telling compelling stories, and guiding teams through ambiguity and being right often.AI accelerates the craft. It amplifies the best PMs and exposes the weak ones. It rewards curiosity, empathy, velocity, and judgment.If you want tailored support on your PM career, leadership journey, or executive path, I offer 1 on 1 career, executive, and product coaching at tomleungcoaching.com.OK team. Let's ship greatness. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit firesidepm.substack.com

Welcome to Industry Spotlight—a focused series hosted by Sam D'Arc, highlighting standout dealerships and innovative companies, and exploring the trends driving success in today's automotive market. Today, Sam sits down with Jeremy Nowling, Sales and Digital Retailing Director at Rohrman Auto Group, and Matt Muilenburg, Chief Product Officer of Impel. This episode is brought to you by Impel: Impel - Meet the AI Operating System built for a new era of automotive retailing. From CRM to service bay, from website to DMS, it unifies and orchestrates every part of your dealership operations—and your customer lifecycle. Visit @ http://impel.ai and and discover how Impel AI turns routine interactions into VIP experiences. 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 Topics: 00:45 What do customers expect from dealerships now? 02:01 How is AI changing modern dealerships? 04:32 How did dealerships operate before AI? 05:53 How to implement AI for leads? 07:30 How to customize AI for engagement? 11:14 Why must dealers engage with AI? 14:24 How to train staff on AI? 20:28 What is AI's future in dealerships? 31:56 Final advice for AI adoption? Car Dealership Guy Socials: X ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠x.com/GuyDealership⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Instagram ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠instagram.com/cardealershipguy/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ TikTok ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠tiktok.com/@guydealership⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ LinkedIn ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠linkedin.com/company/cardealershipguy⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Threads ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠threads.net/@cardealershipguy⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Facebook ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠facebook.com/profile.php?id=100077402857683⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Everything else ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠dealershipguy.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

In this episode, we dive into technical advancements in the healthcare supply chain. Our guest, Archie Mayani, Chief Product Officer at GHX, breaks down the smart ways to introduce AI and move a healthcare supply chain forward in smart and effective way. For more information, subscribe to ⁠Running on Ice the newsletter⁠ or podcast. ⁠Follow the Running on Ice Podcast⁠ ⁠Other FreightWaves Shows⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Product Experience, host Randy Silver speaks with Teresa Huang — Head of Product for Enablement at global health‑insurer Bupa — about the often‑overlooked world of platform product management. They explore why building internal platforms is fundamentally different and often more challenging than building user‑facing products, how to measure the value of platform work, and practical strategies for gaining stakeholder alignment, driving platform adoption and demonstrating business impact.Chapters0:00 – Why “efficiency” alone no longer cuts it — measuring platform impact in business terms1:02 – Teresa's background: from business analyst to head of product in health insurance6:20 – What we mean by “platform product management” — internal tools vs marketplace vs public‑API platforms7:44 – Why you need to “hop two steps”: address developer needs and end-customer value10:24 – Types of platforms: internal APIs, marketplace ecosystems, public‑facing platforms (e.g. like Shopify)10:55 – Reframing platform work: building business cases instead of chasing “efficiency” metrics13:16 – Linking platform initiatives to core business goals and joint OKRs15:47 – The importance of visualisation — using prototypes and role‑plays to communicate platform value20:57 – Internal showcases: keeping stakeholders engaged with real‑world scenarios23:28 – Success metrics for platforms: adoption, usage, reliability, ecosystem growth26:00 – Retiring legacy services: deciding when low-use tools should be decommissioned28:55 – From cost centre to enabler: shifting the narrative to show value creationOur 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.

Chelsea Howe is the Chief Product Officer at Sunblink, the studio behind the hit cozy life sim Hello Kitty Island Adventure. With deep experience in licensed games, live ops, & design leadership, she brings a sharp, systems-driven lens to how teams build, scale, & innovate.Listen as Chelsea shares how Sunlink is exploring AI in game development, what works & what absolutely falls apart, why game jams are secret engines of team learning, & how emerging trends from China may reshape the future of game design.LinkedIn: https://www.linkedin.com/in/chelseahowe/Sunblink: https://www.sunblink.com/

In this episode, I was lucky enough to interview Joel Montvelisky, co-founder and Chief Product Officer of PractiTest.Joel shares his unlikely journey from Costa Rica to the world of software testing. He talks about becoming a Cowboys fan in the 1970s, stumbling into QA because it paid slightly better than bartending, and eventually discovering that testing was far more than bug hunting—it was about improving products, reducing risk, and helping teams release with confidence. He reflects on the evolution of QA from the dot-com era to modern Agile and DevOps practices, the absence of formal QA education, and how conferences and early industry leaders helped him realize that testing is, in fact, a real profession with deep methodology and purpose.Joel also shares the origin story of PractiTest, born from a gap he saw between enterprise tools like Quality Center and teams struggling to manage testing with spreadsheets. He explains how the company's very first customer found them before they even had a way to accept payments, how founder-led sales carried them for years, and why meaningful testing requires both intention and mindfulness—something he practices personally to stay focused as someone diagnosed with ADHD later in life. Hear how Joel Montvelisky turned unexpected beginnings into a career shaping the future of QA in this episode of The First Customer!Guest Info:PractiTesthttps://www.practitest.com/Joel Montvelisky's LinkedInhttps://www.linkedin.com/in/joelm3/Connect with Jay on LinkedInhttps://www.linkedin.com/in/jayaigner/The First Customer Youtube Channelhttps://www.youtube.com/@thefirstcustomerpodcastThe First Customer podcast websitehttps://www.firstcustomerpodcast.comFollow The First Customer on LinkedInhttp://www.linkedin.com/company/the-first-customer-podcast/

In this episode of Builders Wanted, we're joined by Sumeet Arora, Chief Product Officer at Teradata. Sumeet shares his insights on the importance of speed and innovation in the fields of data analytics and AI, emphasizing how Teradata delivers impactful business results by transforming complex data challenges into actionable solutions. The discussion dives into product leadership principles, the balance between speed and reliability, and the evolving landscape of analytics.-------------------Key Takeaways:Building strong systems and focusing on velocity enables organizations to innovate quickly without sacrificing quality.Trustworthy, well-modeled data and clear, measurable outcomes are essential for successful AI and analytics.The best product improvements come from listening to customers, obsessing over their problems, and being willing to rethink or remove features.-------------------“ I think it's equally important for people in my role to not just build a great product, but also build it fast. It has to be fast and excellent, both. And doing things faster in this era means that you have to also treat velocity as a product itself.  It's almost like setting up the right system and then great things come out.” – Sumeet Arora-------------------Episode Timestamps:‍*(02:06) - Defining the mission of a builder ‍*(03:12) - Velocity as a product ‍*(07:51) - The shift to invisible, frictionless analytics ‍*(23:04) - Lessons from product failures ‍*(34:28) - Quick hits-------------------Links:Connect with Sumeet on LinkedInConnect with Kailey on LinkedInLearn more about Caspian Studios-------------------SponsorBuilders Wanted is brought to you by Twilio – the Customer Engagement Platform that helps builders turn real-time data into meaningful customer experiences. More than 320,000 businesses trust Twilio to transform signals into connections—and connections into revenue. Ready to build what's next? Learn more at twilio.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 Experience, host Randy Silver speaks with Teresa Huang — Head of Product for Enablement at global health‑insurer Bupa — about the often‑overlooked world of platform product management. They explore why building internal platforms is fundamentally different and often more challenging than building user‑facing products, how to measure the value of platform work, and practical strategies for gaining stakeholder alignment, driving platform adoption and demonstrating business impact. Chapters0:00 – Why “efficiency” alone no longer cuts it — measuring platform impact in business terms1:02 – Teresa's background: from business analyst to head of product in health insurance6:20 – What we mean by “platform product management” — internal tools vs marketplace vs public‑API platforms7:44 – Why you need to “hop two steps”: address developer needs and end-customer value10:24 – Types of platforms: internal APIs, marketplace ecosystems, public‑facing platforms (e.g. like Shopify)10:55 – Reframing platform work: building business cases instead of chasing “efficiency” metrics13:16 – Linking platform initiatives to core business goals and joint OKRs15:47 – The importance of visualisation — using prototypes and role‑plays to communicate platform value20:57 – Internal showcases: keeping stakeholders engaged with real‑world scenarios23:28 – Success metrics for platforms: adoption, usage, reliability, ecosystem growth26:00 – Retiring legacy services: deciding when low-use tools should be decommissioned28:55 – From cost centre to enabler: shifting the narrative to show value creationOur 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.

Hitachi Vantara's Octavian Tanase, Chief Product Officer joins Light Reading's Phil Harvey to discuss how AI is reshaping enterprise infrastructure design and driving the next generation of high-end block storage. Hosted on Acast. See acast.com/privacy for more information.

If you think automation is just for tech giants, think again. In this episode, Fern sits down with Irem Metin, Chief Product Officer at Goose, to talk about how smart systems and AI are transforming dog daycare and boarding businesses. From streamlining operations to personalizing customer experiences, they explore how tools that used to be out of reach are now leveling the playing field for smaller pet care businesses—and making life way easier in the process.You'll hear real examples of how automation is being used to handle tasks like email marketing, report cards, client communication, and even labor planning—all while freeing up your team to focus on what actually matters: taking care of dogs and people. If you've ever felt overwhelmed by the daily grind or worried about keeping up with tech-savvy competitors, this episode might just change the way you think about running your business.

Live from InfoSec World 2025, this episode of Enterprise Security Weekly features six in-depth conversations with leading voices in cybersecurity, exploring the tools, strategies, and leadership approaches driving the future of enterprise defense. From configuration management and AI-generated threats to emerging frameworks and national standards, this special edition captures the most influential conversations from this year's conference. In this episode: -You Don't Need a Hacker When You Have Misconfigurations — Rob Allen, Chief Product Officer at ThreatLocker®, discusses how overlooked settings and weak controls continue to be one of the most common causes of breaches. He explains how Defense Against Configurations (DAC) helps organizations identify, map, and remediate configuration risks before attackers can exploit them. -Security Challenges for Mid-Sized Companies — Perry Schumacher, Chief Strategy Officer & Partner at Ridge IT Cyber, explores the evolving security challenges facing mid-sized organizations. He discusses how AI is becoming a competitive advantage, how mobility and third-party reliance complicate defenses, and what steps these organizations can take to improve resilience and efficiency. -The Rise of Security Control Management: Secure by Design, Not by Chance — Marene Allison, former CISO of Johnson & Johnson, introduces Security Control Management (SCM), a new software category that unifies control selection, mapping, validation, and enforcement. She explains how SCM transforms fragmented compliance programs into proactive, embedded defense. -Engineered for Protection: The Rise of Security Control Management — Ryan Heritage, Advisor at Sicura, continues the discussion on SCM, explaining how organizations can operationalize this approach to move from reactive reporting to proactive, data-driven defense. He highlights how automation and integration enable security decisions to be made at “the speed of relevance.” -The AI Threat: Protecting Your Email from AI-Generated Attacks — Patricia Titus, Field CISO at Abnormal Security, explores how cybercriminals are weaponizing generative AI to create sophisticated phishing and social engineering attacks. She shares practical strategies for defending against AI-generated threats and emphasizes why AI-based protections are now essential for modern enterprises. -Igniting Change: A Conversation with Dr. Ron Ross — Dr. Ron Ross, CEO at RONROSSECURE, LLC, shares insights from decades of pioneering work in cybersecurity, including the Risk Management Framework and Systems Security Engineering Guidelines. He discusses how leaders can apply these principles to strengthen resilience, foster innovation, and drive meaningful change across the cybersecurity landscape.   Segment Resources ThreatLocker® Defense Against Configurations (DAC): https://www.threatlocker.com/platform/defense-against-configurations Book a demo to see DAC in action. Visit https://securityweekly.com/threatlockerisw to learn more! This segment is sponsored by Ridge IT Cyber. Visit https://securityweekly.com/ridgeisw to learn more about them! Visit https://www.securityweekly.com/esw for all the latest episodes! Show Notes: https://securityweekly.com/esw-435

Today we're talking about the rise of independent hype watches. Until very recently, as we've discussed on this podcast, independent watchmaking was something of a backwater of the watch industry or at best the realm of the cognoscenti. But in recent years, creations from the likes of MB&F, Simon Brette, Rexhep Rexhepi and today's guest Sylvain Berneron have become objects of desire, cutthroat demand and even speculation. How did it get this way? What are the drivers? And what role do the brands and watchmakers themselves play in the economy of hype? Our guest is Sylvain Berneron, a French-born industrial and fine-arts trained designer who, after early roles in automotive design at BMW, moved into the watch world — spending five years at Breitling (ultimately as Chief Product Officer) and earlier working for the Richemont Group on brands such as IWC and Jaeger‑LeCoultre. In 2022 Sylvain founded his independent brand Berneron (based in Neuchâtel, Switzerland) and launched the Mirage collection, noted for its all-gold movement, shaped asymmetric case. And this summer, he unveiled his second collection, the Quantième Annuel. Both collections are highly limited – variants are produced in just 24 units each annually. Hosted by Asher Rapkin and Gabe Reilly, co-founders of Collective Horology, Openwork goes inside the watch industry. You can find us online at collectivehorology.com. To get in touch with suggestions, feedback or questions, email podcast@collectivehorology.com.

Live from InfoSec World 2025, this episode of Enterprise Security Weekly features six in-depth conversations with leading voices in cybersecurity, exploring the tools, strategies, and leadership approaches driving the future of enterprise defense. From configuration management and AI-generated threats to emerging frameworks and national standards, this special edition captures the most influential conversations from this year's conference. In this episode: -You Don't Need a Hacker When You Have Misconfigurations — Rob Allen, Chief Product Officer at ThreatLocker®, discusses how overlooked settings and weak controls continue to be one of the most common causes of breaches. He explains how Defense Against Configurations (DAC) helps organizations identify, map, and remediate configuration risks before attackers can exploit them. -Security Challenges for Mid-Sized Companies — Perry Schumacher, Chief Strategy Officer & Partner at Ridge IT Cyber, explores the evolving security challenges facing mid-sized organizations. He discusses how AI is becoming a competitive advantage, how mobility and third-party reliance complicate defenses, and what steps these organizations can take to improve resilience and efficiency. -The Rise of Security Control Management: Secure by Design, Not by Chance — Marene Allison, former CISO of Johnson & Johnson, introduces Security Control Management (SCM), a new software category that unifies control selection, mapping, validation, and enforcement. She explains how SCM transforms fragmented compliance programs into proactive, embedded defense. -Engineered for Protection: The Rise of Security Control Management — Ryan Heritage, Advisor at Sicura, continues the discussion on SCM, explaining how organizations can operationalize this approach to move from reactive reporting to proactive, data-driven defense. He highlights how automation and integration enable security decisions to be made at "the speed of relevance." -The AI Threat: Protecting Your Email from AI-Generated Attacks — Patricia Titus, Field CISO at Abnormal Security, explores how cybercriminals are weaponizing generative AI to create sophisticated phishing and social engineering attacks. She shares practical strategies for defending against AI-generated threats and emphasizes why AI-based protections are now essential for modern enterprises. -Igniting Change: A Conversation with Dr. Ron Ross — Dr. Ron Ross, CEO at RONROSSECURE, LLC, shares insights from decades of pioneering work in cybersecurity, including the Risk Management Framework and Systems Security Engineering Guidelines. He discusses how leaders can apply these principles to strengthen resilience, foster innovation, and drive meaningful change across the cybersecurity landscape. Segment Resources ThreatLocker® Defense Against Configurations (DAC): https://www.threatlocker.com/platform/defense-against-configurations Book a demo to see DAC in action. Visit https://securityweekly.com/threatlockerisw to learn more! This segment is sponsored by Ridge IT Cyber. Visit https://securityweekly.com/ridgeisw to learn more about them! Visit https://www.securityweekly.com/esw for all the latest episodes! Show Notes: https://securityweekly.com/esw-435

In this special Cloud Wars report, Bob Evans sits down with Michael Ameling, President and Chief Product Officer of SAP Business Technology Platform, for a deep dive into how SAP is helping customers navigate the fast-moving AI Era. Ameling and Evans discuss how SAP's Business Data Cloud, partnerships with Snowflake and Databricks, HANA Cloud innovations, and new AI-powered tools and agents are helping SAP evolve from an applications powerhouse into a data-and-AI-driven business platform for the next generation.SAP's AI Data FutureThe Big Themes:SAP HANA Cloud Becomes an AI-Optimized Database: SAP HANA Cloud is evolving into “the database AI was looking for." As a multi-model system supporting spatial, graph, vector, and document storage, HANA Cloud enables AI workloads to run more efficiently and contextually. Recent additions, like vector engines and Knowledge Graph capabilities, give customers powerful tools for retrieval-augmented generation (RAG), contextual reasoning, and advanced analytics.Developers Are 'The AI Revolution': Developers aren't observing the AI Revolution, they are the revolution. With modern AI tools, developers can innovate faster, solve bigger problems, and directly influence business outcomes. SAP is investing heavily in meeting developers where they are by enhancing IDEs, building business-aware development tools, and providing context-rich assets such as APIs, business objects, and process insights. AI acts as a teammate, not a replacement.SAP: An Applications and a Data Company: SAP must be both an applications and a data company. Customer value emerges when applications, data, and AI converge seamlessly. SAP's decades of industry expertise give it unparalleled business context, which becomes even more powerful when embedded into AI agents and data platforms. With more than 34,000 SAP HANA Cloud customers and rapidly expanding AI adoption, SAP is positioning itself as the platform where business process knowledge meets modern AI capability.The Big Quote: " . . what we need to understand that AI is our teammate. It's like asking your best friend who has a lot of knowledge, but you can ask multiple friends at the same time. Not everything is always right, but you can ask questions, you can continuously improve. If we understand that pattern, we understand that AI helps us to solve much bigger problems as a developer, and then, of course, having much more impact on real business."More from Michael Ameling and SAP:Connect with Michael Ameling on LinkedIn, or get more insights from SAP TechEd.  Visit Cloud Wars for more.

Live from InfoSec World 2025, this episode of Enterprise Security Weekly features six in-depth conversations with leading voices in cybersecurity, exploring the tools, strategies, and leadership approaches driving the future of enterprise defense. From configuration management and AI-generated threats to emerging frameworks and national standards, this special edition captures the most influential conversations from this year's conference. In this episode: -You Don't Need a Hacker When You Have Misconfigurations — Rob Allen, Chief Product Officer at ThreatLocker®, discusses how overlooked settings and weak controls continue to be one of the most common causes of breaches. He explains how Defense Against Configurations (DAC) helps organizations identify, map, and remediate configuration risks before attackers can exploit them. -Security Challenges for Mid-Sized Companies — Perry Schumacher, Chief Strategy Officer & Partner at Ridge IT Cyber, explores the evolving security challenges facing mid-sized organizations. He discusses how AI is becoming a competitive advantage, how mobility and third-party reliance complicate defenses, and what steps these organizations can take to improve resilience and efficiency. -The Rise of Security Control Management: Secure by Design, Not by Chance — Marene Allison, former CISO of Johnson & Johnson, introduces Security Control Management (SCM), a new software category that unifies control selection, mapping, validation, and enforcement. She explains how SCM transforms fragmented compliance programs into proactive, embedded defense. -Engineered for Protection: The Rise of Security Control Management — Ryan Heritage, Advisor at Sicura, continues the discussion on SCM, explaining how organizations can operationalize this approach to move from reactive reporting to proactive, data-driven defense. He highlights how automation and integration enable security decisions to be made at "the speed of relevance." -The AI Threat: Protecting Your Email from AI-Generated Attacks — Patricia Titus, Field CISO at Abnormal Security, explores how cybercriminals are weaponizing generative AI to create sophisticated phishing and social engineering attacks. She shares practical strategies for defending against AI-generated threats and emphasizes why AI-based protections are now essential for modern enterprises. -Igniting Change: A Conversation with Dr. Ron Ross — Dr. Ron Ross, CEO at RONROSSECURE, LLC, shares insights from decades of pioneering work in cybersecurity, including the Risk Management Framework and Systems Security Engineering Guidelines. He discusses how leaders can apply these principles to strengthen resilience, foster innovation, and drive meaningful change across the cybersecurity landscape.   Segment Resources ThreatLocker® Defense Against Configurations (DAC): https://www.threatlocker.com/platform/defense-against-configurations Book a demo to see DAC in action. Visit https://securityweekly.com/threatlockerisw to learn more! This segment is sponsored by Ridge IT Cyber. Visit https://securityweekly.com/ridgeisw to learn more about them! Show Notes: https://securityweekly.com/esw-435

Day 2 of F3: Future of Freight Festival brings the energy, the insights, and the triple-threat lineup. Host Malcolm Harris goes live from downtown Chattanooga to dive into the evolving world of freight tech, AI, payments, and innovation—straight from the leaders building the future. Guest #1 — Garrett Wolfe, EVP of Market Strategy, TriumphGarrett breaks down Triumph's purpose-built, verified freight transaction network, how their data and payments ecosystem powers trust, fraud prevention, and smarter decision-making, and why AI is a tool—not a buzzword—to be deployed when it improves customer outcomes.Guest #2 - Daniel Lucas, VP of Innovation & Business Strategy, UFSDaniel brings a decade-plus of logistics and tech experience to talk about AI as a freight copilot—and why companies must standardize their processes before plugging AI into their workflow. Guest #3 — Danielle Villegas, Chief Product Officer, PCSPCS flips the script by putting midsize carriers first. Danielle shares how their embedded AI engine, Cortex, is driving efficiency, accuracy, and profitability—plus, her team wins Best in Show live on the air. ⁠Watch on YouTube⁠ ⁠Visit our sponsor⁠ ⁠Subscribe to the WTT newsletter⁠ ⁠Apple Podcasts⁠ ⁠Spotify⁠ ⁠More FreightWaves Podcasts⁠ #WHATTHETRUCK #FreightNews #supplychain Learn more about your ad choices. Visit megaphone.fm/adchoices

Day 2 of F3: Future of Freight Festival brings the energy, the insights, and the triple-threat lineup. Host Malcolm Harris goes live from downtown Chattanooga to dive into the evolving world of freight tech, AI, payments, and innovation—straight from the leaders building the future. Guest #1 — Garrett Wolfe, EVP of Market Strategy, TriumphGarrett breaks down Triumph's purpose-built, verified freight transaction network, how their data and payments ecosystem powers trust, fraud prevention, and smarter decision-making, and why AI is a tool—not a buzzword—to be deployed when it improves customer outcomes.Guest #2 - Daniel Lucas, VP of Innovation & Business Strategy, UFSDaniel brings a decade-plus of logistics and tech experience to talk about AI as a freight copilot—and why companies must standardize their processes before plugging AI into their workflow. Guest #3 — Danielle Villegas, Chief Product Officer, PCSPCS flips the script by putting midsize carriers first. Danielle shares how their embedded AI engine, Cortex, is driving efficiency, accuracy, and profitability—plus, her team wins Best in Show live on the air. Watch on YouTube Visit our sponsor Subscribe to the WTT newsletter Apple Podcasts Spotify More FreightWaves Podcasts #WHATTHETRUCK #FreightNews #supplychain Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Product Experience, host Randy Silver sits down with product veteran John Cutler to explore why creating great products remains one of the hardest things organisations do. They dive into why so many companies adopt off‑the‑shelf models (“Spotify”, “SAFe”, etc) and still struggle, and how the secret often lies not in what you build but how you build it—specifically the game you design for how you work.Chapters00:00 — The stigma around “how you work”00:54 — Introducing John Cutler (again)01:25 — What John's building at Dotwork02:46 — From fun to formal: doing discovery at scale04:04 — Why process became a bad word05:10 — The “cavalier PM” mindset06:28 — Empowered teams vs. harsh realities08:00 — What great pockets of practice have in common09:03 — Managing up vs. doing the right thing10:24 — Playing the game vs. designing the game11:20 — What makes a great internal game12:33 — Defining success: thriving, surviving, progressing13:46 — Environmental design: why leaders hesitate15:10 — Making intentional design less intimidating16:42 — Tools, rituals, and the power of checkpoints18:23 — The behaviour design playbook20:41 — Removing blockers: access, repetition, reflectionWe're taking Community Questions for The Product Experience podcast.Got a burning product question for Lily, Randy, or an upcoming guest? Submit it 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...

Industrial Talk is talking to Jay Limburn, Chief Product Officer about "Unleashing the power of data for operational excellence". Scott Mackenzie hosts the Industrial Talk Podcast, featuring industry professionals like Jay Limburn from Atacama, who discusses the importance of data trust and AI initiatives. Atacama's platform helps organizations integrate and enrich data from various sources, providing a unified view and a trust score to ensure data reliability. This is crucial for AI and automation, which are essential for business efficiency and competitive advantage. Upcoming events include Power Gen in January and M D and M West in February. The conversation emphasizes the need for clean data to support AI and automation, which is vital for resilient businesses. Action Items [ ] Reach out to Jay Limburn on LinkedIn to learn more about Atacama's solutions.[ ] Visit the Atacama website at atacama.com to explore their data trust platform. Outline Introduction to Industrial Talk Podcast Scott MacKenzie welcomes industry professionals and stresses the importance of storytelling to inspire the next generation of industrial leaders.Scott highlights the excitement in the industry and the need for advocates to share their stories.Scott introduces Jay Limburn from Atacama, focusing on the importance of data and the role of companies like Atacama in data insights. Announcements and Upcoming Events Scott announces two new podcasts: "Ask Molly" and "The Business Beatitudes.""Ask Molly" features Scott's daughter Molly, who helps him with marketing challenges."The Business Beatitudes" focuses on seven components of success in industry, emphasizing virtues like humility and selflessness.Scott mentions upcoming events: Power Gen in January and M D and M West in February, highlighting the importance of power generation and manufacturing. Introduction of Jay Limburn and Atacama Scott introduces Jay Limburn, Chief Product Officer at Atacama, and discusses the importance of data in the industry.Jay explains Atacama's focus on Data Trust, which involves giving meaning to data to make better decisions.Jay shares his 25-year background in data and AI, emphasizing the importance of data in AI initiatives.Scott and Jay discuss the challenges of data cleanliness and the importance of a solid data foundation for AI success. Challenges of Legacy Systems and Data Integration Scott and Jay discuss the challenges of integrating legacy systems with modern data sources.Jay explains how Atacama connects to various data sources, enriches metadata, and provides data quality and observability.Jay emphasizes the importance of having a unified view of data from different sources to support AI initiatives.Scott and Jay discuss the human aspect of data management and the need for trust in data to drive automation and efficiency. Trust and Quality in Data Jay explains the concept of a trust score, which measures the reliability of data, and how it can be configured based on industry standards.Scott and Jay discuss the importance of trust in data for decision-making and the impact of data quality on business processes.Jay highlights the role of anomaly detection and auto-correction in maintaining data quality.Scott and Jay discuss the importance of trust in data for automation and the competitive advantage it provides. Evolution of Data and Change Management Scott and Jay discuss the dynamic nature of data and the need for continuous data management.Jay explains how Atacama's Data Trust Index helps organizations evolve their...

Welcome to Industry Spotlight—a focused series hosted by Sam D'Arc, highlighting standout dealerships and innovative companies, and exploring the trends driving success in today's automotive market. Today, Sam sits down with Kevin Frye, Marketing Director Jeff Wyler Automotive Family, and Paul Nadjarian, Chief Product Officer at CARFAX. This episode of the Car Dealership Guy Podcast is brought to you by CARFAX. CARFAX - Here's a reality check: CARFAX data shows that 55% of car buyers won't return to the same dealership for service in year one. That's lost revenue walking out your door.  But Carfax Lifetime Dealers don't stop after the sale. They partner with CARFAX to deliver co-branded, VIN-specific service reminders that drive customers back to their service lane. The CARFAX Lifetime program: Give customers the insight they want, earn the loyalty you need. Contact your CARFAX representative today. Learn more at carfax.com/CDG. 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 Topics: 01:27 Why is service retention so critical? 02:34 Biggest customer communication challenge today? 03:10 OEM vs. dealer loyalty: who wins? 05:41 How is Carfax for Life game-changing? 07:52 Using data to boost retention how? 10:42 Future of customer engagement in service? 18:28 Most actionable insight for dealers now? 27:20 AI and data hygiene's role? 35:09 Final advice for improving retention? 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

Limelight is building the infrastructure layer for B2B creator marketing, processing payments and managing campaigns for companies spending six figures monthly on creator partnerships. With $2.1 million in funding from Signal to Noise Ratio, Ascend Ventures, Savion Ventures, and strategic angels including the head of AI at Amazon and the former Chief Product Officer at Lyft, Limelight powers creator programs for Clay, Webflow, ZoomInfo, and Bill.com. In this episode of BUILDERS, we sat down with David Walsh, Founder and CEO of Limelight, to learn how he validated the market by interviewing 100+ creators, why he deliberately chose not to build an agency despite customer demand, and how his platform tracks engagement data at scale to prove ROI for performance-focused buyers. Topics Discussed: The pivot from referral software to B2B creator infrastructure after 100+ creator interviews How creator attitudes shifted from refusing brand partnerships to actively monetizing Clay's playbook: building custom Clay tables for creators before asking them to post Why Limelight chose to power agencies rather than compete with them The data infrastructure required to justify $100K+ monthly creator budgets Tracking organic engagement, converting content to paid ads, and attributing pipeline The split between brand/social buyers and performance/demand gen buyers Launching social listening to challenge legacy social media management platforms GTM Lessons For B2B Founders: Validate with 100+ user interviews before pivoting: David didn't just chat with a handful of potential users—he conducted and recorded over 100 interviews with B2B creators, asking detailed questions about monetization interest, partnership preferences, and content strategies. He then repeated this process with marketing leaders. This level of research rigor before committing to a pivot is rare but critical when entering emerging categories. The depth of qualitative research gave him conviction to make a contrarian bet when most creators were still refusing brand partnerships. Build where network effects are structural, not hoped for: David specifically chose a creator marketplace after a previous marketplace failure because the unit economics included built-in virality. When Limelight pays a creator $10,000, that creator has tens of thousands of followers who see the transaction result (the sponsored content). Every payment notification becomes inbound interest. He understood that in consumer marketplaces you compete on supply quality, but in creator marketplaces the supply actively markets your platform. Founders should identify whether their marketplace has structural network effects in the transaction itself, not just theoretical ones. Target micro-creators with niche audiences over vanity metrics: The counterintuitive insight: creators with 10,000-25,000 followers often outperform those with 100,000+ in B2B because deal sizes are $25K-$50K, not $100 sunglasses. Smaller creators have higher engagement rates, unsaturated audiences, authentic expertise in specific domains, and haven't been "bought and sold for" yet. When brands face the choice between a 100K-follower creator at $2,000 per post with 200 likes versus a 25K-follower creator at $1,000 per post with 300 likes, they irrationally choose the larger following. Founders should educate buyers that in B2B, targeted influence within specific buyer committees matters more than reach. Build data infrastructure to win performance buyers, not just brand buyers: Limelight tracks every piece of content in real-time (not waiting weeks for creator screenshots), monitors all engagement and segments it by ICP fit, provides self-reported attribution from demo forms, tracks website traffic spikes correlated to posting schedules, and generates qualified lead lists from content engagement. This comprehensive data layer is what allows demand gen leaders to reallocate spend from paid channels. The market is splitting 50/50 between brand/social buyers and performance/demand gen buyers—the latter has larger budgets and treats creator spend like paid media that requires attribution. Founders entering new marketing channels should build attribution infrastructure from day one, not as an afterthought. Deliberately choose infrastructure over services even when customers ask for help: Despite customers like Webflow, ZoomInfo, and Bill.com spending $100K+ monthly and requesting more hands-on support, David chose to build product and enable agencies rather than hire account managers and become a service business. His reasoning: people have tried to replace agencies in recruiting for decades and failed because buyers want the human in the middle. The bigger opportunity is being the infrastructure that powers all agencies, not competing with them. This fork-in-the-road decision—hire CSMs and influencer marketing managers versus build more product—defines whether you're building a scalable platform or a services business disguised as SaaS. Use your first customer to custom-build product, then scale it: Clay became Limelight's first customer when the platform was early. David essentially custom-built features for Clay's creator program, learning their workflow for building Clay tables for creators, their onboarding process, and their approach to creative freedom. This deep partnership gave Limelight the product foundation to scale from managing 20 creators to 200+ for Clay within nine months, then apply those learnings to other customers. Rather than building in a vacuum, founders should find a sophisticated first customer willing to co-develop the product, even if it means initially building something custom. // Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here:  https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

Send me a messageWhat happens to your supply chain when it gets too hot for workers to show up?In this episode I'm joined by Kevin Vranes, Chief Product Officer at Worldly, a platform working with tens of thousands of suppliers to generate real sustainability intelligence across global supply chains. We dig into why climate exposure, labour disruption, tightening disclosure rules, and escalating NGO scrutiny are converging into one of the biggest resilience challenges companies have ever faced, and why the old ways of managing risk simply won't cut it anymore.You'll hear how rising heat stress across manufacturing regions is creating a very real form of operational fragility, with knock-on effects that most leadership teams still underestimate. Kevin explains why the gap between brand-level assumptions and on-the-ground realities is widening, and why primary data from deep-tier suppliers is becoming essential infrastructure rather than a “nice to have”.We break down where AI is genuinely transforming sustainability analysis, including the shift from weeks of spreadsheet work to seconds of machine-driven insight, and where human relationships, incentives, and policy signals still determine whether change actually happens on the factory floor. And you might be surprised to learn why NGOs, not regulators, may become the true enforcers of global climate disclosure.If you care about supply chain resilience, Scope 3, data visibility, or the next wave of sustainability risk, this episode goes right to the heart of what's coming, and what leaders need to prepare for.

Jeetu Patel is President and Chief Product Officer at Cisco. He previously served there as Executive Vice President and General Manager of Security and Collaboration.He joined Cisco in 2020 after serving as Chief Product Officer and Chief Strategy Officer at Box, where he played a key role in expanding the company into a multi-product platform used by more than 100,000 customers. He currently sits on the board of real estate services company JLL (Jones Lang LaSalle) and holds a B.S. in Information Decision Sciences from the University of Illinois.In this conversation, we discuss:How Cisco is becoming an AI-first company and why fully embracing AI is now a requirement, not a choiceHow AI will reshape every job, and which human skills will matter most in the decade aheadThe real constraints slowing enterprise AI adoption: power, trust, and dataThe infrastructure, security, and data gaps limiting AI's potential, and how Cisco is closing themWhy skill gaps are growing, and what workers can do to stay relevant as AI changes the workplaceHow Cisco approaches new markets, strategic focus, and building products people love at global scaleResourcesSubscribe to the AI & The Future of Work NewsletterConnect with Jeetu on LinkedInAI fun fact articleOn How AI helps serve 70 million meals every dayPast guests mentioned on this show:Box´s CTO Ben Kus on Responsible AI Use, Innovation Culture, and Future AI TrendsBox's Global CIO Ravi Malick on Why Every Problem Doesn't Need an AppCisco´s Former CEO on the Future of AI-Driven Work and Investing in PeopleReign

The promise of agentic AI has been massive, autonomous systems that act, reason, and make business decisions, but most enterprises are still struggling to see results.In this episode, host Chris Brandt sits down with Sumeet Arora, Chief Product Officer at Teradata, to unpack why the gap exists between AI hype and actual impact, and what it takes to make AI scale, explainable, and ROI-driven.From the shift toward “AI with ROI” to the new era of human + AI systems and data quality challenges, Sumeet shares how leading enterprises are moving from flashy demos to measurable value and trust in the next phase of AI. CHAPTER MARKERS00:00 The AI Hackathon Era03:10 Hype vs Reality in Agentic AI06:05 Redesigning the Human AI Interface09:15 From Demos to Real Economic Outcomes12:20 Why Scaling AI Still Fails15:05 The Importance of AI Ready Knowledge18:10 Data Quality and the Biggest Bottleneck20:46 Building the Customer 360 Knowledge Layer23:35 Push vs Pull Systems in Modern AI26:15 Rethinking Enterprise Workflows29:20 AI Agents and Outcome Driven Design32:45 Where Agentic AI Works Today36:10 What Enterprises Still Get Wrong39:30 How AI Changes Engineering Priorities55:49 The Future of GPUs and Efficiency Challenges -- This episode of IT Visionaries is brought to you by Meter - the company building better networks. Businesses today are frustrated with outdated providers, rigid pricing, and fragmented tools. Meter changes that with a single integrated solution that covers everything wired, wireless, and even cellular networking. They design the hardware, write the firmware, build the software, and manage it all so your team doesn't have to.That means you get fast, secure, and scalable connectivity without the complexity of juggling multiple providers. Thanks to meter for sponsoring. Go to meter.com/itv to book a demo.---IT Visionaries is made by the team at Mission.org. Learn more about our media studio and network of podcasts at mission.org. 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 Cause+Effect Podcast, host Trent Dunham sits down with Dan Sumpter, Chief Product Officer and creative leader at Dunham+Company, to explore the fascinating world of creativity with a purpose.Together, they dive into the challenges and opportunities of leading creative teams, dispelling myths about creativity, and offering practical insights for those who work with or manage creatives. From understanding the emotional and logical balance in creative work to eliminating waste in the creative process, this episode is packed with actionable advice for anyone looking to harness creativity to solve problems and drive impact. Tune in to learn how to align creativity with purpose and create work that truly resonates!

What if your company stopped chasing quarterly goals and spent an entire month training every employee on AI? That's exactly what AppsFlyer did, and it completely transformed how they approach innovation.In this episode, AppsFlyer down with Barak Witkovsky, Chief Product Officer of AppsFlyer, to discuss one of the boldest AI transformation experiments I've ever heard of. For four weeks, they paused regular business objectives and put all 1,300 employees through an AI builder course. Not on top of their work. AS their work.What We Cover:1. Why AppsFlyer stopped chasing OKRs to invest in AI education across the entire company2. How AppsFlyer's CEO and CPO learn about AI from their own employees (including marketers who know more than developers at other companies)3. How AppsFlyer evolved from a measurement platform into a modern marketing cloud with autonomous AI agents4. How do you get marketers to trust AI when they're deploying tens of millions in ad spend?5. Why AppsFlyer is betting on an open AI ecosystem with MCP and Agent Hub6. Are marketers becoming obsolete or are they about to become "bosses of agents"?7. Why executives are bullish on AI while directors and managers feel anxious (and what to do about it)Timestamps:00:00 AI Integration at AppsFlyer04:15 The ROI of AI Investments05:14 Evolution to a Modern Marketing Cloud16:30 Challenges of Omnichannel Measurement22:26 AI Agents in Marketing27:01 Becoming an AI-First Company31:29 The Role of AppsFlyer in the AI Ecosystem44:38 The Ultimate Growth Machine Vision47:18 Final Thoughts

Sanish Mondkar is the Founder and CEO of Legion Technologies, a company specializing in AI-powered workforce management solutions that optimize labor efficiency and enhance hourly employee engagement. Under his leadership, Legion has become a trusted platform for automating scheduling, forecasting, and communication across major industries. Before Legion, Sanish served as Executive Vice President and Chief Product Officer at SAP, and earlier at Ariba. He holds a bachelor's degree in computer engineering from the University of Pune and a master's in computer science from Cornell University. In this episode… In today's fast-paced world of retail, hospitality, and other hourly-based industries, companies are racing to balance efficiency with employee satisfaction. But as technology reshapes how businesses operate, can AI actually make hourly work more engaging, flexible, and fulfilling? Sanish Mondkar, a seasoned technology leader and AI innovator, believes it can. He explains that traditional workforce management systems were built to control labor costs, not empower people — and that's where AI can fundamentally shift the equation. By automating scheduling, predicting demand, and empowering employees with control over their work schedules, companies can reduce attrition while fostering a more motivated workforce. Sanish also points out that real transformation comes when AI is transparent, explainable, and trusted by both managers and frontline workers. In this episode of the Inspired Insider Podcast, Dr. Jeremy Weisz sits down with Sanish Mondkar, Founder and CEO of Legion Technologies, to discuss how AI can drive employee engagement and operational excellence. They talk about Legion's AI-powered scheduling innovations, the "trifecta" that reduces attrition, and how automation builds trust between employers and staff. Sanish also shares lessons from scaling Legion with major brands like Dollar General and Philz Coffee.