Podcasts about chief product

As every brand rushes to adopt generative AI, what if the greatest competitive advantage is no longer about speed and scale, but about sounding uniquely, verifiably human? Agility requires moving beyond the hype of new technology to strategically apply it for true differentiation. It's about being smart and selective, not just fast. Today, we're going to talk about a paradox at the heart of modern marketing. Generative AI has promised unprecedented scale and personalization, but for many, it's delivering a sea of sameness where brand voice gets lost. We'll explore how to break free from this generic output, moving from a reactive "test and learn" model to a predictive one, and discuss the critical balance of combining AI's power with essential human expertise to maintain brand soul, safety, and performance across countless channels. To help me discuss this topic, I'd like to welcome, Toby Coulthard, Chief Product & Growth Officer at Jacquard. About Toby Coulthard Toby Coulthard is Chief Product & Growth Officer at Jacquard. Toby Coulthard on LinkedIn: https://www.linkedin.com/in/toocou/ Resources Jacquard: https://www.jacquard.com/ Take your personal data back with Incogni! Use code AGILE at the link below and get 60% off an annual plan: https://incogni.com/agile  The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow Catch the future of e-commerce at eTail Palm Springs, Feb 23-26 in Palm Springs, CA. Go here for more details: https://etailwest.wbresearch.com/ Drive your customers to new horizons at the premier retail event of the year for Retail and Brand marketers. Learn more at CRMC 2026, June 1-3. https://www.thecrmc.com/ Check out The Array, Jacquard's podcast: https://www.jacquard.com/the-array-podcast-series/ Take your personal data back with Incogni! Use code AGILE at the link below and get 60% off an annual plan: https://incogni.com/agile  Enjoyed the show? Tell us more at and give us a rating so others can find the show at: https://ratethispodcast.com/agile Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstrom Don't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.show Check out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company

Jim McDonald is joined by Jeff Margolies, Chief Product and Strategy Officer at Saviynt, to discuss the intersection of artificial intelligence and identity security. Jeff shares his decades of experience in the industry, from building the IAM practice at Accenture to his current leadership role at Saviynt. The conversation covers how AI is making manually intensive identity tasks more efficient, the emergence of Identity Security Posture Management (ISPM), and the critical need to govern identities for AI agents. Jeff also provides his perspective on the future of the identity practitioner and why he remains an optimist in a rapidly changing technological landscape.Connect with Jeff Margolies on LinkedIn: https://www.linkedin.com/in/jmargolies/Connect with us on LinkedIn:Jim McDonald: https://www.linkedin.com/in/jimmcdonaldpmp/Jeff Steadman: https://www.linkedin.com/in/jeffsteadman/Visit the show on the web at http://idacpodcast.comTimestamps:00:00:00 - Introduction and Gartner Identity Conference Recap00:02:11 - Jeff Margolies' Career Journey in Identity and Security00:04:36 - Returning to Identity and Joining Saviynt00:06:13 - How AI is Impacting Identity Security and Governance00:09:56 - The Future of Identity Services in an AI World00:13:58 - Will AI Disrupt the SaaS Model for Identity?00:19:50 - The Impact of AI on the Identity Practitioner Job Market00:26:16 - Identity for AI: Governing Agents and Delegated Authority00:32:00 - Combating Deepfakes and Proving What is Real00:34:40 - The Rise of Identity Security Posture Management (ISPM)00:41:46 - Comparing Posture Management and ITDR00:44:17 - Advice for CISOs: Why Posture Should Come First00:49:35 - The Secret to Saviynt's Success and Future Outlook00:52:19 - Lighter Note: Why Jeff Chose a Tesla for His DaughterKeywords:IDAC, Identity at the Center, Jeff Steadman, Jim McDonald, Jeff Margolies, Saviynt, IAM, Identity and Access Management, AI, Artificial Intelligence, ISPM, ITDR, Cybersecurity, Identity Governance, SaaS, IGA

How do you transform a collection of individual tools into a cohesive, AI-powered symphony? Vineeta Puranik (CPTO @ SmartBear) dissects the strategy behind evolving a product vision from point solutions to a unified multi-product ecosystem. We explore the critical architectural distinction between "AI bolt-on" and "AI native" strategies, frameworks for seamless M&A integration, and how to design for varying levels of customer AI readiness. Vineeta also discusses the shift to test “does it match intent”, using “jobs to be done” to drive solving entire workflows not just tool capabilities, and designing user experiences for both human personas and AI agents. ABOUT VINEETA PURANIKVineeta Puranik serves as Chief Product and Technology Officer (CPTO) at SmartBear, where she leads the company's global technology and product strategy to empower developers and enterprises worldwide. A seasoned technology executive with over two decades of experience, she combines strategic vision with hands-on leadership to drive innovation, growth, and operational excellence.At SmartBear, Vineeta oversees development, cloud engineers, AI, and architecture, and has been instrumental in scaling centers of excellence in India and Poland, launching the Developer Academy, and advancing the company's hub-based product strategy – Swagger suite for API capabilities, Test Hub, and Insight Hub. Recognized for her collaborative, people first leadership and commitment to inclusion, she was named a 2024 Women Worth Watching in STEM by Profiles in Diversity Journal. This episode is brought to you by Retool!What happens when your team can't keep up with internal tool requests? Teams start building their own, Shadow IT spreads across the org, and six months later you're untangling the mess…Retool gives teams a better way: governed, secure, and no cleanup required.Retool is the leading enterprise AppGen platform, powering how the world's most innovative companies build the tools that run their business. Over 10,000 organizations including Amazon, Stripe, Adobe, Brex, and Orangetheory Fitness use the platform to safely harness AI and their enterprise data to create governed, production-ready apps.Learn more at Retool.com/elc SHOW NOTES:SmartBear's evolution from individual tools to a connected ecosystem (3:34)The cultural shift toward vendor consolidation and avoiding context switching (5:39)Why "Jobs-to-be-Done" must drive the workflow, not just the tool capabilities (9:35)The shift in testing: Moving from "does it crash?" to "does it match intent?" in an AI world (14:26)The architectural difference between "AI Bolt-On" and "AI Native" products (20:44)The levels of autonomy: A framework for moving from manual control to autonomous testing (24:10)Designing for different customer personas: Addressing security, policy, and AI readiness (30:01)Rapid Fire Questions (32:50) LINKS AND RESOURCES Books MentionedOwn the Room: Discover Your Signature Voice to Master Your Leadership Presence by Amy Jen Su and Muriel Maignan Wilkins.The Leader You Want to Be: Five Essential Principles for Bringing Out Your Best Self--Every Day by Amy Jen Su.SmartBear Tools & ProductsSmartBear[**Reflect**](https://reflect.run/?utm_medium=referral&utm_source=smartbear.com&utm_campaign=prodnav&_gl=1*4gpwr4*_gcl_au*MTAzOTk0MjM2LjE3Njk0NjU4NTA.) – Mentioned as their "AI Native" product for autonomous testing.Zephyr Scale – Mentioned regarding the Atlassian ecosystem integration.[**QMetry**](https://www.qmetry.com/?_gl=1*1d5sv56*_gcl_au*MTAzOTk0MjM2LjE3Njk0NjU4NTA.) – Recently acquired test management product.[**Swagger**](https://swagger.io/product/?_gl=1*gtu348*_gcl_au*MTAzOTk0MjM2LjE3Njk0NjU4NTA.) – Mentioned as the suite for API design and compliance. This episode wouldn't have been possible without the help of our incredible production team:Patrick Gallagher - Producer & Co-HostJerry Li - Co-HostNoah Olberding - Associate Producer, Audio & Video Editor https://www.linkedin.com/in/noah-olberding/Dan Overheim - Audio Engineer, Dan's also an avid 3D printer - https://www.bnd3d.com/Ellie Coggins Angus - Copywriter, Check out her other work at https://elliecoggins.com/about/ 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, we're joined by Ben McAllister, the Chief Product and Technology Officer at CrossFit, and one of the most thoughtful product leaders I've had the pleasure of speaking with. Ben's path is anything but linear: with a degree in physics, a short stint in consulting, and time spent as a creative director at a design agency before moving into senior product roles at Under Armour. Now he's shaping one of the world's most iconic fitness ecosystems. In this episode, Ben shares: Why attention is the ultimate currency in product design, and how to design for the “spotlight” versus the periphery. The “Infovore” Advantage: Why the best product leaders borrow ideas from outside the tech world; and How to build a cohesive product strategy for a complex, decentralized network like CrossFit's global community of affiliates and athletes. Links LinkedIn: https://www.linkedin.com/in/mcallister/ X: https://x.com/benmcallister?lang=en CrossFit: https://www.crossfit.com/ Resources The Age of the Infovore: Succeeding in the Information Economy (https://tylercowen.com/dd-product/the-age-of-the-infovore-succeeding-in-the-information-economy/) On the Origin of Stories (https://www.hup.harvard.edu/books/9780674057111) Chapters 00:00: Introduction 00:41: Ben's non-linear career path: From physicist to product leader 03:23: The "infovore" mindset in product management 06:00: Storytelling, juxtaposition, and the science of learning 08:48: Designing product for attention 12:00: Why product leaders shouldn't ignore marketing 15:10: CrossFit's origins as an internet-native brand 19:44: What is the CrossFit Open? 24:37: Conclusion Follow LaunchPod on YouTube We have a new YouTube page! Watch full episodes of our interviews with PM leaders and subscribe! What does LogRocket do? LogRocket's Galileo AI watches user sessions for you and surfaces the technical and usability issues holding back your web and mobile apps. Understand where your users are struggling by trying it for free at LogRocket.com.

It's YOUR time to #EdUp with Dr. Madhavi Chandra, Chief Product & Strategy Officer, EntrinsikIn this episode, sponsored by the ⁠⁠⁠ELIVE 2026 Conference in Denver, Colorado, April 19-22, & the 2026 InsightsEDU Conference in Fort Lauderdale, Florida, February 17-19,YOUR cohost is Dr. Karen Holding-Jordan, Dean of Records & Registration for Workforce Continuing Education, Wake Technical Community CollegeYOUR host is ⁠Elvin Freytes⁠How can higher ed leaders avoid AI sprawl by implementing intentional AI strategy that integrates with existing data ecosystems to drive real ROI instead of wasting funds on big box solutions?Why should institutions treat data as a cabinet member by bringing departments together to identify problems that break down data silos & create institution wide impact?How can leaders shift from banning AI to folding AI literacy into curriculum & changing assessment to evaluate how students prompt, interact, & apply analytical thinking as the student profile evolves beyond traditional 18 to 22 year olds?Listen in to #EdUpThank YOU so much for tuning in. Join us on the next episode for YOUR time to EdUp!Connect with YOUR EdUp Team - ⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠Elvin Freytes⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠& ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Dr. Joe Sallustio⁠⁠⁠⁠⁠● Join YOUR EdUp community at ⁠The EdUp Experience⁠We make education YOUR business!P.S. Want to get early, ad-free access & exclusive leadership content to help support the show? Become an #EdUp Premium Member today!

What happens when adaptation isn't a phase, but a permanent state of existence? Knownwell CMO Courtney Baker, CEO David DeWolf, and Chief Product and Technology Officer Mohan Rao conclude our change management miniseries by arguing that resilience now beats optimization. The group explores why governance should actually accelerate speed rather than slow it down, and why modern leadership requires the vulnerability to learn in public versus continually exhorting your team to become "AI-first."  Plus, Pete Buer shares part two of his interview with innovation expert and author Scott Anthony. Scott explains why leaders should "lead by letting go"—allowing experiments to make the decisions—and shares how teams can "sue a process" to remove friction. Don't miss the final verdict on the human side of AI adoption and a closing insight from DeepSeek. Watch the full episode on YouTube: https://youtu.be/Jz7emfLAP8c  Try Knownwell free for 30 days: www.knownwell.com/30days Pick up Scott Anthony's new book, Epic Disruptions. 

If artificial intelligence is meant to earn trust anywhere, should banking be the place where it proves itself first? In this episode of Tech Talks Daily, I'm joined by Ravi Nemalikanti, Chief Product and Technology Officer at Abrigo, for a grounded conversation about what responsible AI actually looks like when the consequences are real. Abrigo works with more than 2,500 banks and credit unions across the United States, many of them community institutions where every decision affects local businesses, families, and entire regional economies. That reality makes this discussion feel refreshingly practical rather than theoretical. We talk about why financial services has become one of the toughest proving grounds for AI, and why that is a good thing. Ravi explains why concepts like transparency, explainability, and auditability are not optional add-ons in banking, but table stakes. From fraud detection and lending decisions to compliance and portfolio risk, every model has to stand up to regulatory, ethical, and operational scrutiny. A false positive or an opaque decision is not just a technical issue, it can damage trust, disrupt livelihoods, and undermine confidence in an institution. A big focus of the conversation is how AI assistants are already changing day-to-day banking work, largely behind the scenes. Rather than flashy chatbots, Ravi describes assistants embedded directly into lending, anti-money laundering, and compliance workflows. These systems summarize complex documents, surface anomalies, and create consistent narratives that free human experts to focus on judgment, context, and relationships. What surprised me most was how often customers value consistency and clarity over raw speed or automation. We also explore what other industries can learn from community banks, particularly their modular, measured approach to adoption. With limited budgets and decades-old core systems, these institutions innovate cautiously, prioritizing low-risk, high-return use cases and strong governance from day one. Ravi shares why explainable AI must speak the language of bankers and regulators, not data scientists, and why showing the "why" behind a decision is essential to keeping humans firmly in control. As we look toward 2026 and beyond, the conversation turns to where AI can genuinely support better outcomes in lending and credit risk without sidelining human judgment. Ravi is clear that fully autonomous decisioning still has a long way to go in high-stakes environments, and that the future is far more about partnership than replacement. AI can surface patterns, speed up insight, and flag risks early, but people remain essential for context, empathy, and final accountability. If you're trying to cut through the AI noise and understand how trust, governance, and real-world impact intersect, this episode offers a rare look at how responsible AI is actually being built and deployed today. And once you've listened, I'd love to hear your perspective. Where do you see AI earning trust, and where does it still have something to prove?

Listen in to this special episode of Owning the Outcome, as Sarah dives into product strategy and customer value in the AI era with HubSpot's new Chief Product & Technology Officer, Duncan Lennox. Duncan brings decades of experience as a founder, product leader, and builder through multiple technology shifts—from the early days of SaaS to today's AI era—and a relentless focus on solving for the customer. In this episode, you'll hear: Duncan's journey from growing up in a small family business to founding his own companies to leading product and technology for global enterprises How AI is raising the bar for product expectations—and why trust and quality matter more than ever Where HubSpot's partners play—and where the ecosystem opportunity lives in the AI era How HubSpot is thinking about platform extensibility, unified data, and innovation with partners Duncan's leadership philosophy and guiding teams with clarity and consistency through rapid technology shifts It's an energizing look at where HubSpot is headed—and why the best is still ahead. Partners, listen in and don't forget to join us for Ecosystem Kickoff (February 23 and 24)—check your inbox for details.

The Wikimedia Foundation's chief technology and product officer explains how she helps manage one of the most visited sites in the world in the age of generative AI.  Wikipedia is turning 25 this month, and it's never been more important.  The online, collectively created encyclopedia has been a cornerstone of the internet decades, but as generative AI started flooding every platform with AI-generated slop over the last couple of years, Wikipedia's governance model, editing process, and dedication to citing reliable sources has emerged as one of the most reliable and resilient models we have.  And yet, as successful as the model is, it's almost never replicated.  This week on the podcast we're joined by Selena Deckelmann, the Chief Product and Technology Officer at the Wikimedia Foundation, the nonprofit organization that operates Wikipedia. That means Selena oversees the technical infrastructure and product strategy for one of the most visited sites in the world, and one the most comprehensive repositories of human knowledge ever assembled. Wikipedia is turning 25 this month, so I wanted to talk to Selena about how Wikipedia works and how it plans to continue to work in the age of generative AI.   YouTube Version: https://youtu.be/39LR9ouJR3c Subscribe at 404media.co for bonus content. Listen to the weekly podcast on Apple Podcasts, Spotify, or YouTube.  Wikipedia's value in the age of generative AI The Editors Protecting Wikipedia from AI Hoaxes Wikipedia Pauses AI-Generated Summaries After Editor Backlash Wikipedia Says AI Is Causing a Dangerous Decline in Human Visitors Jimmy Wales Says Wikipedia Could Use AI. Editors Call It the 'Antithesis of Wikipedia' Learn more about your ad choices. Visit megaphone.fm/adchoices

Taiwan Semiconductor Manufacturing, the world's largest fabricator of advanced computing processors, is planning a major US expansion as part of a new trade deal. WSJ's Amrith Ramkumar joins us to talk about what role geopolitical tensions with China are playing in the shift. Plus, the Wikimedia Foundation's Chief Product and Technology Officer talks about how Wikipedia is transforming itself for the age of generative AI. Isabelle Bousquette hosts. Sign up for the WSJ's free Technology newsletter. Learn more about your ad choices. Visit megaphone.fm/adchoices

What does it mean to be an AI-native employee—and why will they win? In this episode of CPO PLAYBOOK, Thibault Imbert, Chief Product and Growth Officer at The Brief, breaks down the tools, mindsets, and skills redefining productivity and creativity in the AI era. From mastering conversational AI to prototyping in real time with voice and visual tools, Thibault shares what it takes to thrive in a rapidly evolving workplace. We explore how creative tools are changing the way we ideate, build, and communicate—and why 70% is the new zero when it comes to speed and experimentation. You'll learn: • Why mastering conversational AI is now a business advantage • How visual creation tools accelerate innovation • What “AI-native” workflows look like in real teams • How to go from idea to prototype using voice and visual AI • Why empathy still matters—even in an AI-first world Whether you're building products, leading teams, or just trying to keep up with AI, this episode will leave you rethinking how you work. Chapters 00:00 Introduction and Setting the Stage 04:30 The Journey of AI Transformation 09:52 Mastering Conversational AI 15:52 Visual Creation and Concepting Ideas 23:10 Voice as a Creative Output 27:45 Prototyping and Building in Real Time 32:58 Innovative Tools for Research and Presentation

Can you ride a bike with reverse steering? It sounds simple, but it requires unlearning years of muscle memory. That is exactly what AI demands of modern business leaders: the ability to unlearn established rules to keep from crashing. Knownwell CMO Courtney Baker, CEO David DeWolf, and Chief Product and Technology Officer Mohan Rao kick off a new four-part miniseries dedicated to the hardest part of AI adoption: change management. David and Mohan argue that the biggest friction point isn't technology, but the mindset shift from a deterministic world to a probabilistic one where judgment is required. They outline a playbook for 2026, explaining why you must anchor on value creation rather than efficiency to succeed. We also air Part 1 of Pete Buer's conversation with Tom Davenport, a world-renowned thought leader and President's Distinguished Professor at Babson College. Tom connects the history of business process re-engineering to the current AI moment, warning leaders that using AI solely for headcount reduction is a strategic error. All of that PLUS Pete breaks down conflicting market data on AI Agents. Does 57% of the market have agents in production, or is it only 11%? Pete explains why this definition gap from two recent reports matters and how to distinguish between a software feature and true enterprise agentic architecture. Watch this episode on YouTube: https://www.youtube.com/watch?v=VFmHtua_Zfo  Get the commercial intelligence you need to drive your business forward with a free trial of Knownwell: www.knownwell.com/30days

For the last episode of 2025, get to know Abrigo's CTO, Ravi Nemalikanti, as he talks about his AI philosophy at Amazon's AWS Re:Invent conference. Listen in to learn about the metrics Abrigo considers when making decisions about machine learning in its solutions, ensuring that those decisions support community banks and credit unions. About the guest: Ravi Nemalikanti is Abrigo's Chief Product and Technology Officer and is responsible for leading technology strategy and determining product and development priorities to drive innovation and increase the company's competitive advantage. Ravi is the Winner of the 2024 Haas Technology Leadership Awardee for North America by Carlyle, an award given to celebrate an exceptional technology leader. Before joining Abrigo in 2022, Ravi was the CTO of Digital Banking at NCR Corp., where he led the organization's digital-first banking technology roadmap. Earlier, he held leadership roles in Tax and accounting, Global Trade, and Risk Management during 14 years at Thomson Reuters. Ravi holds a bachelor's degree in engineering from Andhra University in Andhra Pradesh, India, and an MBA from the University of Chicago's Booth School of Business.Helpful links: AI Hub - AbrigoWebinar: AI strategy for banking: Unlock the most value - Abrigo

In "The Road Ahead: What Trimble Innovations Mean for Transportation", Joe Lynch and Jonah McIntire, Chief Product and Technology Officer at Trimble, discuss Trimble's open, scalable platform that connects every aspect of the supply chain—from trucks and drivers to the back office—by serving as a reliable "system of record" that integrates practical AI innovation to help fleets maximize performance, visibility, and safety. About Jonah McIntire Jonah McIntire is Chief Product and Technology Officer at Trimble. He joined Transporeon in June 2021 and quickly led a succession of larger product organisations in the sourcing & data insights areas of the company. Known for his broad international experience, having lived and worked in 13 countries, Jonah's prior experience includes running global logistics for Build-a-Bear Workshop, launching business units for Manhattan Associates and Panalpina, and writing a university textbook on supply chain visibility. He also founded two companies and led them to successful acquisitions: Clear Abacus, an early cloud computing transport optimisation solution acquired by GT Nexus; and TNX Logistics, a spot procurement data science SaaS acquired by Transporeon. He is also a regular guest author in industry journals, hosts the popular Logistics Tribe podcast, and maintains a widely read industry newsletter on logistics technology. About Trimble Transportation Trimble Transportation provides fleets with solutions to create a fully integrated supply chain. With an intelligent ecosystem of products and services, Trimble Transportation enables customers to embrace the rapid technological evolution of the industry and connect all aspects of transportation and logistics — trucks, drivers, back office, freight and assets. Trimble Transportation delivers an open, scalable platform to help customers make more informed decisions and maximize performance, visibility and safety. Key Takeaways: The Road Ahead: What Trimble Innovations Mean for Transportation In "The Road Ahead: What Trimble Innovations Mean for Transportation", Joe Lynch and Jonah McIntire, Chief Product and Technology Officer at Trimble, discuss Trimble's open, scalable platform that connects every aspect of the supply chain—from trucks and drivers to the back office—by serving as a reliable "system of record" that integrates practical AI innovation to help fleets maximize performance, visibility, and safety. The Responsibility of the Incumbent: Unlike startups that lead with "bombastic" promises, Trimble prioritizes its role as the foundational "system of record" for the world's largest supply chains, where stability and reliability are non-negotiable. A "Safety-First" AI Philosophy: Because Trimble's software manages critical infrastructure and multi-billion dollar logistics networks, their innovation roadmap is built on a "safety-first" framework to ensure no disruption to global commerce. The Three-Phase AI Maturity Model: Trimble is following a logical, tiered progression into the AI age: starting with internal adoption, moving to AI-enhanced features, and ultimately launching AI-native applications. "Eating Their Own Cooking": Before shipping AI solutions to customers, Trimble utilizes AI internally to refine the technology, ensuring they can provide honest, experience-based guidance to their partners. Enhancing the Proven vs. Chasing the New: A core pillar of their current strategy is adding AI-powered features to existing, trusted solutions (like TMW.Suite or TMT) to provide immediate value without requiring a total system overhaul. The Shift to AI-Native Applications: The next frontier for Trimble is the development of applications built from the ground up on AI architectures, designed to solve complex logistics problems that traditional logic-based software cannot. Prioritizing Practicality Over Hype: Trimble's focus remains squarely on the "practical uses" of AI—solving real-world friction in dispatch, maintenance, and routing—rather than following fleeting technology trends. Innovation as Change Management: Trimble recognizes that the hardest part of the AI transition isn't the code; it's the human element. Their strategy includes a heavy focus on onboarding, training, and building the "Customer Trust" necessary for long-term adoption. Learn More About The Road Ahead: What Trimble Innovations Mean for Transportation Jonah McIntire | LinkedIn Trimble Transportation | Linkedin Trimble Transportation Trimble's Perspective: The Future of Freight is Connected with Rob Painter The Logistics of Logistics Podcast If you enjoy the podcast, please leave a positive review, subscribe, and share it with your friends and colleagues. The Logistics of Logistics Podcast: Google, Apple, Castbox, Spotify, Stitcher, PlayerFM, Tunein, Podbean, Owltail, Libsyn, Overcast Check out The Logistics of Logistics on Youtube  

La leadership di prodotto sta cambiando davanti ai nostri occhi: l'AI non è solo un acceleratore, ma un catalizzatore che riporta i CPO a costruire davvero e riduce drasticamente i tempi tra idea e prototipo.In questo episodio di Product Heroes, Marco Santonocito racconta il suo percorso da Chief Product & Technology Officer a Super Builder, spiegando come l'AI stia abbattendo dipendenze, creando micro–team iper-veloci e cambiando per sempre il ruolo del Product Manager.Parliamo di:• cosa spinge un CPO a lasciare la carriera classica per tornare al building• perché la velocità dei nuovi strumenti AI impone una nuova mentalità• che cosa significa avere davvero “agency” e perché sarà la skill che selezionerà il mercato• come funzionano i micro–team del futuro tra builder, designer, dev e AI• quali competenze rimarranno centrali quando tutti possono “costruire”• come valutare traction, capire quando iterare e quando abbandonare• cosa cambia nella leadership: governance, constraint, design system, sicurezza, processi• perché distribuzione e network diventeranno più importanti del prodotto stesso• cosa resta profondamente umano nel costruire prodotti in un mondo dove l'AI fa (quasi) tuttoQuesto contenuto nasce dalla nostra masterclass dedicata all'integrazione dell'intelligenza artificiale nel ciclo di vita del prodotto digitale.Si chiama AI Product Builder e la prossima edizione parte a gennaio 2026.Ascolta ora, segui il podcast Product Heroes e continua a seguirci per altre conversazioni con chi sta ridefinendo il modo di costruire prodotti digitali.⏱️ Capitoli00:00 – Introduzione: perché oggi non esiste leadership di prodotto senza AI01:30 – Chi è Marco Santonocito: dallo sviluppo alla C-suite fino alla scelta radicale04:00 – La miccia: l'exit, il side project e la decisione di diventare Super Builder07:00 – Agency: la skill che separerà chi costruisce da chi rimane indietro10:00 – Perché tornare a costruire rende un CPO migliore12:30 – Che cos'è un Super Builder e perché l'AI accelera il fenomeno16:00 – Micro–team del futuro: meno ruoli, più competenze ibride18:40 – Quando tutti possono costruire: cosa cambia per PM, designer e dev21:00 – Il caso studio: come Marco ha costruito un'app per bambini in 60 minuti24:00 – Prodotto vs distribuzione: perché i creator diventeranno co-founder27:00 – Come valutare traction, quando iterare e quando mollare30:00 – La sfida nelle aziende: come liberare l'agency senza perdere controllo33:00 – Role design, constraint, sicurezza: chi definisce le regole?36:00 – Cosa resterà umano nel costruire prodotti con l'AI38:00 – Conclusioni: il futuro del Product Management e la nuova leadership

Algorithms and automations have been buds for a decade plus.

1036: What does it mean to manage a digital workforce? In this episode of Technovation, we feature a panel from our most recent Metis Strategy Summit where three top executives explore how AI is reshaping work, both automating tasks, and changing the nature of management itself. Peter High speaks with: Jennifer Charters, Chief Information Officer at Lincoln Financial Prasanna Gopalakrishnan, Chief Product & AI Officer at ADP Daniel Marcu, Global Head of AI Engineering at Goldman Sachs Together, they discuss: Why AI agents require new thinking about team structure and oversight How CIOs and CHROs must partner to build enterprise AI fluency The risks of shadow AI and the need for secure platforms How habit loops and performance incentives impact AI adoption What it takes to balance innovation speed with organizational readiness

In this episode, Daniel Lereya (Chief Product and Technology Officer @ Monday.com) shares how they are evolving their engineering roles from developers to builders & system designers, where the lines between product, engineering, and design are intentionally blurred, and developers manage AI Agents as team members, tackling an ever-expanding list of projects. We explore the shift from "developer" to "system designer" and why managing AI agents requires the same skills as managing people. Plus, a case study where the Monday.com team leveraged AI agents to decompose a monolith, autonomously manage the project board and assign strategic / high-risk tasks to humans. ABOUT DANIEL LEREYADaniel Lereya has served as Chief Product and Technology Officer at monday.com since 2023. In this role, he focuses on advancing monday.com's multi-product vision and operational efficiencies while driving execution to support company growth. Previously, he was Vice President of R&D and Product, leading global teams in shaping and executing the company's product strategy through innovation and technology. Before joining monday.com, Daniel held leadership and engineering roles at IBM and SAP. SHOW NOTES:The three core principles of monday.com's culture: Ownership, Transparency, and Speed of Execution (3:59)How AI acts as an accelerant to implement these cultural principles at scale (8:36)Why the “Developer” role is evolving into a “Strategic Builder” and “System Designer” (13:47)Breaking silos: How the “Builder” role blurs the lines between product, engineering, and design (17:13)Real-world example: A designer using AI to submit code and fix UI issues independently (19:09)Case Study: The “Agent Factory” & how a weekend prototype by one leader shifted the product roadmap (21:25)Operationalizing transparency: Using internal tools (“Big Brain”) to align every builder on daily business impact (25:58)The “Kickoff Meeting” framework: A strict protocol for falling in love with the problem, not the solution (32:26)The new management paradigm with AI agents as team members (37:31)Rapid fire questions (42:09) This episode wouldn't have been possible without the help of our incredible production team:Patrick Gallagher - Producer & Co-HostJerry Li - Co-HostNoah Olberding - Associate Producer, Audio & Video Editor https://www.linkedin.com/in/noah-olberding/Dan Overheim - Audio Engineer, Dan's also an avid 3D printer - https://www.bnd3d.com/Ellie Coggins Angus - Copywriter, Check out her other work at https://elliecoggins.com/about/ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

This podcast is brought to you by Outcomes Rocket, your exclusive healthcare marketing agency. Learn how to accelerate your growth by going to⁠ outcomesrocket.com The future of healthcare lies in intelligent automation that gives providers back their time. In this episode, David Cohen, Chief Product and Technology Officer at Greenway Health, explains how AI and automation are reshaping the ambulatory healthcare experience from “encounter to cash.” He outlines the company's agentic-first architecture, which embeds intelligent automation into the core of the product to streamline clinical, operational, and financial workflows. David showcases real-world applications, including ambient documentation, automated billing, and chart review powered by AWS HealthLake, that reduce administrative burden and improve care coordination. He also highlights Greenway's customer-driven “working backwards” approach and their focus on delivering measurable impact within months, not years. Tune in and learn how intelligent, end-to-end automation is redefining efficiency, accessibility, and care quality in ambulatory healthcare! Resources Connect with and follow David Cohen on LinkedIn. Follow Greenway Health on LinkedIn and visit their website!

With the rapid evolution of Generative AI, customer experience (CX) is evolving rapidly, too. In a recent episode of the Tech Transformed podcast, Mike Gozzo, Chief Product and Technology Officer at Ada, sat down with host Christina Stathopoulos, Founder of Dare to Data. They talked about how generative AI is changing business-to-customer interactions.“I view it not just as a business opportunity, but we are here to solve a problem that has existed as long as commerce has,” Gozzo said. He emphasised that AI's goal isn't just efficiency. It is about building trust and clearly understanding customer needs to allow productive interactions.Artificial intelligence, he noted, “has really enabled what used to be much more costly to happen at scale.” The Ada Chief Product and Technology Officer pointed out that the best customer experiences are highly personalised. Comparing it to arriving at a luxury hotel where the staff already knows your name, even on your first visit. He noted that modern AI aims to make such experiences, which were once only for a select few, common for everyone.Looking to the future, Gozzo tells Stathopoulos he believes generative AI will foster more engagement between customers and brands. “If I consider the trend, I think we will have much more natural, personalised, and effortless interactions than ever before because of this technology.”Gen AI's impact on Customer Data When discussing operational challenges, especially regarding customer data management, the guest speaker stressed quality over quantity. Gozzo explained that in most AI set-ups, “the real value lies not in the data you've collected, but in the understanding of how your business runs, operates, and the people doing the tasks you want to automate.”Governance, Human Orchestration & the Future of AIBeyond personalisation, AI should be implemented responsibly and monitored closely. “The first thing with any AI deployment is to avoid thinking of it as software you buy, deploy, and forget. They need ongoing monitoring, engagement, and maintenance,” Gozzo tells Stathopoulos. He suggested thorough testing processes and collaboration with specialised companies like AIUC, which verify AI systems against common risks. “These tests need to happen quarterly or yearly because the underlying models change so rapidly,” he added.In addition to regularly conducting AI checks, the human element is also critical. AI might automate up to 80% of routine tasks, but humans will still play a vital role. Gozzo described the human role as that of an orchestrator, managing teams that include both humans and AI systems and effectively delegating tasks between them.Finally, Gozzo talked about AI's immediate impact on customer experience. “Our leading customers' AI agents are outperforming humans. They deliver higher-quality customer service experiences, and customers prefer interacting with their AI.” The key measure, he said, is the positive effect on business growth and customer lifetime value.The chief technology officer's parting advice to IT decision makers is: “The people on your team know how to make AI work. Capture their insights. Don't treat this as a technology project. The technologist will not dominate the next decade. This is about business leaders and experts doing the heavy lifting.”At the core of generative and agentic AI, Gozzo...

About David Cohen:David Cohen, FACHE, serves as the Chief Product and Technology Officer at Greenway Health, leading the company's technology and product strategy to drive digital healthcare innovation. Since joining in 2019, he has played a key role in modernizing Greenway's solutions and driving better outcomes for providers and patients. He also serves on the Board of the CommonWell Health Alliance, promoting interoperability across the healthcare ecosystem.Previously, David spent over 13 years at Cerner Corporation in leadership roles spanning Cerner Intelligence, Clinical Solutions, and Innovation. He began his career in technology and consulting with Pfizer and ThoughtWorks. David holds an MBA from The University of Chicago Booth School of Business and a BA in Integrated Science and Mathematics from Northwestern University.Things You'll Learn:Intelligent automation is central to transforming ambulatory healthcare, enabling providers to reduce administrative tasks and allocate more time to patient care.Greenway's “agentic-first architecture” treats AI not as a tool but as the core product, enabling end-to-end workflow automation across the encounter-to-cash spectrum.By working closely with customers and using a “working backwards” approach, Greenway designs solutions that directly address real-world practice challenges.Automation in documentation, chart review, and revenue cycle management enhances efficiency and improves care coordination through platforms like AWS HealthLake.David emphasizes “time compression,” focusing on delivering innovation within months rather than years to meet the urgent needs of healthcare providers.Resources:Connect with and follow David Cohen on LinkedIn.Follow Greenway Health on LinkedIn and visit their website. 

Inside The Kale Logistics WonderworldWriting for the FlyingTypers is a pretty unique experience.You just need to keep your brain connected and let your imagination run: thepages open up in front of your eyes as though you were in a picture movie.Today our inspiration comes from Rajan Subramanian, Chief Product and Chief AI Officer at Kale Logistics. If you hear his name and you think that he is dealing with AI and all the hottest topics that are on today's menu in logistics automation, your picture is there: you are directly plunged in the haunting rhythm of the Sorcerer's Apprentice in Fantasia, the 1940 superb cinematic artwork.  I was curious tounderstand how complicated (or simple in fact) is Rajan's work, delivering top-tier digital products to a vast audience of logistics enterprises.     Rajan Subramanian is a strategic and hands-on technology leader with over two decades' experiencedriving enterprise-scale transformations through innovative digital platforms,unlocking measurable business value with data drive products. He also has deep expertise in data engineering, machine learning and cloud architecture.  With due respect the most interesting idea for us is this one: integrating generative AI to transform complex data intoactionable intelligence. Bridging executive strategy with engineeringexecution, Rajan has helped Fortune 500 organizations across fin-tech,healthcare, communications and supply chain evolve into data-driven, API-first enterprises.

The Stack Overflow Developer Survey is an annual survey conducted by Stack Overflow that gathers comprehensive insights from developers around the world. It offers a valuable snapshot of the global developer community, covering a wide range of topics such as preferred programming languages, tools, and technologies. Jody Bailey is the Chief Product and Technology Officer The post The 2025 Stack Overflow Developer Survey with Jody Bailey and Erin Yepis appeared first on Software Engineering Daily.

The Stack Overflow Developer Survey is an annual survey conducted by Stack Overflow that gathers comprehensive insights from developers around the world. It offers a valuable snapshot of the global developer community, covering a wide range of topics such as preferred programming languages, tools, and technologies. Jody Bailey is the Chief Product and Technology Officer The post The 2025 Stack Overflow Developer Survey with Jody Bailey and Erin Yepis appeared first on Software Engineering Daily.

Our second episode from Money20/20 USA 2025 and the first of two recorded in partnership with Sumsub and their What the Fraud? podcast. We hand over hosting duties to Anastasia Shvechkova, Sumsub's, Sales Director for the Americas who chats to leading industry voices including: 1/ Samant Nagpal, Head of Payments & Risk, Gusto 2/ Mira Srinivasan, Chief Risk Officer, Bluevine 3/ Luke Tuttle, Chief Product & Technology Officer, MoneyGram 4/ Billi Jo Wright, Chief Risk & Compliance Officer, Worldpay for Platforms Together they discuss how AI is reshaping fraud, why trust is becoming the new competitive currency, and what risk and compliance leaders must do to stay ahead. From deepfakes and synthetic documents to agentic AI, cross-border payments innovation and the evolving role of risk teams, this episode explores the technologies and strategies defining the future of financial security.

On this episode, I speak to Sean O'Neill. Sean is the Chief Product & Technology Officer at Syncron, and an executive product leader with a storied career spanning companies like Amazon, Tesco, and GfK. We bond over our shared history at GfK, speak about how Amazon has influenced his product thinking, how it's developed since he moved on, and his approach to portfolio management and right-sizing investments across the product portfolio. We cover a lot, including: There's no greater crime than building something the universe doesn't need: Sean's ten key product principles that he lists on LinkedIn - first developed at Tesco - all matter, but building pointless stuff tops his list of product sins. Use the right tool for the job: Amazon shaped Sean's product DNA, but he's clear that context is king - you can't simply transplant Big Tech practices into legacy environments and expect them to work wholesale. Most companies under-invest in their strategy: When progress stalls, it's usually because teams are spread too thin across BAU work and one-off feature requests. The best product firms align time and capacity to strategic bets (or admit that they're a professional services company). Adopt a portfolio mindset: Sean's capital allocation framework helps leaders size and re-balance investments, ensuring resources go where they'll have the biggest impact - and revisiting regularly (but not too regularly) to stay honest. Learn the language of money: Too many product leaders avoid finance. Sean argues that financial literacy isn't optional if you want credibility with the board and real influence on business outcomes. Learn the numbers! Connect with Sean You can connect with Sean on LinkedIn: https://www.linkedin.com/in/seanon/. There you'll find a number of articles, including the one we discuss in this interview: https://www.linkedin.com/pulse/you-dont-need-more-engineers-better-strategic-bets-sean-o-neill-s0vze/ Connect with Sean's "mystery caller" You can connect with special guest interviewer Sterling O'Neill on LinkedIn: https://www.linkedin.com/in/sterlingoneill/.

Australia needs control over its intelligence layer, not just its data. We explore SCX's sovereign AI cloud, Project Magpie's cultural reasoning, and why inference economics and time-to-market beat hype-driven buildouts.• sovereign AI as control and context, not just security• SCX's inference cloud and partnership with SambaNova• Project Magpie fine-tuning the reasoning layer for Australia• training vs inference split to optimize cost and speed• tokens per kilowatt as the core unit economics• open source vs closed models in enterprise adoption• retrofitting existing data centers with pre-assembled racks• moving pilots to production through cost, control, and confidence• regional strategy across Southeast Asia and exportable tokens• agents shifting work to domain teams, doing more not just cutting costs• candid MBA debate on value, narrative, and people skills• playful Spark Tank on pickleball and rapid-fire personal insightsWhat if a nation's most critical asset isn't oil, power, or spectrum—but intelligence? We sit down with Southern Cross AI (SCX) founder David Keane, co-founder and CSO Akash Agrawal, and SambaNova's Chief Product and Strategy Officer Abhi Ingle to unpack how a sovereign AI cloud can protect context, culture, and control while still competing on cost and speed. From Australia's national needs to regional demand across Southeast Asia, we chart a pragmatic route from vision to working systems.David explains why SCX is built around inference as a service and how Project Magpie fine-tunes the reasoning layer so models “think like an Australian,” reflecting local law, language, and norms. Abhi breaks down training vs inference in plain English, clarifying why pretraining might live on massive GPU clusters while high-throughput, energy-efficient inference thrives on SambaNova's ASIC-based systems. Akash digs into enterprise realities—data sovereignty, runaway costs, and integration roadblocks—and makes the case for open source models you can fork, fine-tune, and operate within your perimeter.We get practical about tokens per kilowatt as the new ROI, pre-assembled racks that drop into existing data centers, and managed services that cut time-to-market from years to months. We explore why most buyers don't care which chip is under the hood—they care about latency, reliability, and price—and how that shifts competition from hardware logos to delivered outcomes. Go to SCX.ai to experience the future of sovereign AI.Remember, in order to win the “$1,000 token credit" you'll have to explain what a magpie is in the comments, and the team at SCX will judge the winner!David Keane - https://www.linkedin.com/in/dakeane/David serves as the Founder & CEO of SouthernCrossAI (SCX.ai), an Inference-as-a-Service platform dedicated to establishing sovereign, scalable, and cost-efficient AI infrastructure tailored for Australian requirements.Akash Agarwal - https://www.linkedin.com/in/aagarwal/Currently, Akash serves as the Chief Strategy Officer and Co-Founder of SouthernCrossAI (SCX.ai).Abhi Ingle - https://www.linkedin.com/in/ingle-abhi/Abhi Ingle - Currently, Abhi serves as the Chief Product & Strategy Officer (CPSO) at SWebsite: https://www.position2.com/podcast/Rajiv Parikh: https://www.linkedin.com/in/rajivparikh/Sandeep Parikh: https://www.instagram.com/sandeepparikh/Email us with any feedback for the show: sparkofages.podcast@position2.com

Is journalism being threatened or enhanced by modern technology? Today, we're talking to Dylan Jacques, Chief Product and Technology Officer at The Telegraph. We discuss how AI is transforming news consumption patterns, why maintaining journalistic standards is critical in the age of LLMs, and how publishers can adapt by shipping features faster while preserving the human element of journalism. All of this right here, right now, on the Modern CTO Podcast!  Thank you to Digital Ocean for sponsoring this episode. For simple cloud and powerful AI that's built to scale, check out Digital Ocean here. To learn more about The Telegraph, check out their website here.

Everywhere you turn, someone's trying to fake something like an image, a voice, or even an entire identity. With AI tools now in almost anyone's hands, it takes minutes, not days, to create a convincing fake. That's changed the game for both sides. The fraudsters have new weapons, and the rest of us are scrambling to keep up. The real question now isn't just how to stop scams, but how to know who or what to trust online. My guest today, Bala Kumar, spends his days on the front lines of that battle. He's the Chief Product and Technology Officer at Jumio, a company working to make digital identity verification faster, smarter, and safer. Bala has more than twenty years in the industry, including leadership roles at TransUnion, and he's seen firsthand how the race between innovation and exploitation never really ends. It just keeps speeding up. In our conversation, Bala shares how generative AI has supercharged the fraud world, what makes identity such a fragile link in digital trust, and why biometrics may finally offer a way forward. We also dig into the psychology behind online risk, how convenience often wins over caution, and what small habits can help people protect themselves in an age where deception looks more real than ever. Show Notes: [01:04] Bala Kumar has a background in product management and fraud prevention from TransUnion to Jumio. [01:59] He describes how fraudsters constantly evolve, forcing companies to anticipate attacks instead of just reacting. [03:56] The quality of manipulated images has skyrocketed, making real vs. fake nearly indistinguishable. [05:17] Jumio's systems catch most fake IDs, but Bala admits even advanced systems must keep auditing for missed fraud. [07:16] Regular audits and rapid response cycles help Jumio identify attack spikes within 24–48 hours. [09:40] Generative AI has dramatically increased the speed and volume of fraud attempts across industries. [11:33] Jumio uses cross-transaction risk analysis to detect emerging fraud patterns and shut down attacks quickly. [13:00] Fraudsters move from one platform to another, always searching for weaker defenses and faster wins. [15:10] Bala explains how fraud prevention has expanded beyond banking into gaming, dating, and gig platforms. [16:38] Consumers crave low friction, which ironically makes them more vulnerable to scams. [17:20] Instant gratification culture pressures companies to reduce security steps, fueling greater risk. [19:52] New AI-driven fraud tactics include injected camera feeds and highly realistic deep fakes. [20:12] Old tricks like “send me a selfie with proof” no longer work—deepfakes can now mimic anything. [22:22] Bala sees biometrics as the next major safeguard for digital identity and real-time verification. [23:12] Facial recognition has become mainstream, paving the way for secure and low-friction identity checks. [26:19] Jumio is already deploying biometric check-ins for events and hotel registrations with great success. [27:30] Account recovery and payout systems now use liveness and device checks to confirm identity safely. [30:09] Bala critiques outdated knowledge-based questions like “What's your favorite food?” as unreliable security. [31:12] Consumers lack visibility into which apps use strong verification or multi-factor authentication. [33:56] He calls for an independent rating system to rank apps based on security and identity protection. [37:53] Bala urges users to question why companies ask for personal data like SSNs or ZIP codes. [39:29] Even a ZIP code and last name can expose personal records, highlighting the need for awareness. Thanks for joining us on Easy Prey. Be sure to subscribe to our podcast on iTunes and leave a nice review.  Links and Resources: Podcast Web Page Facebook Page whatismyipaddress.com Easy Prey on Instagram Easy Prey on Twitter Easy Prey on LinkedIn Easy Prey on YouTube Easy Prey on Pinterest Jumio Bala Kumar - LinkedIn

On this episode, I speak to Georgie Smallwood. Georgie is Chief Product, Technology & Data Officer at Moonpig - the UK's best-known online gifting and greeting card platform. Georgie has built a global career leading product and technology teams at companies like N26, Xero, and Tier Mobility, before joining Moonpig to help transform a 25-year-old household brand into a modern, tech-driven organisation. In this interview, she talks about what it means to create "moments that matter", how Moonpig balances emotional connection with innovation, and how to lead when you're responsible for product, tech and data all at once. We cover a lot, including: Making technology more human: Georgie believes technology should make the world smaller, not bigger - by connecting people, not distancing them. At Moonpig, the goal isn't just to sell cards or gifts, but to help people express love and connection through meaningful gestures. Product with purpose: Moonpig's mission is to be “the world's greatest gifting companion.” Every card printed represents a moment of love, humour, or memory between people. Georgie sees product management at Moonpig as building moments that matter, not just features. Balancing connection and innovation: Moonpig has embraced AI and personalisation, but Georgie cautions against rushing ahead for technology's sake. Instead, the team focuses on introducing innovation in a way that feels natural and accessible to mass-market users. Leading product, technology, and data together: As CPTDO, Georgie bridges three major domains. She admits she's not a data scientist or engineer, but focuses on seeking to understand - asking open questions, learning continuously, and leading through consistency rather than control. On empowerment and leadership: While she values empowered teams, Georgie is pragmatic about balancing autonomy with business realities. She also believes true innovation needs governance, not chaos. Check out Moonpig Check out Moonpig's website: http://moonpig.com/, or their careers page: https://www.moonpig.group/careers/. Connect with Georgie You can connect with Georgie on LinkedIn: https://www.linkedin.com/in/georginasmallwood/.

What does it take to build a billion-dollar company with fewer than 100 people, all while placing customer obsession and responsible AI at its core? In this episode of Predictable B2B Success, host Vinay Koshy speaks with Phillip Swan, Chief Product and Go-to-Market Officer of the AI Solution Group, to unlock the secrets behind blending innovative tech, ethical AI, and truly frictionless customer experiences. Philip shares his journey from co-founding PI Partners to merging with AI Solution Group, revealing untold stories about how he and his team leverage AI to drive unprecedented operational momentum and organizational growth. From identifying “migraine-level” pain points to eliminating data leaks caused by shadow AI, Phillip's insights challenge conventional thinking and tackle the big questions: Can AI really build trust and customer advocacy? How do you systemize culture and alignment across traditional business silos? And what is “pre-awareness”, the surprising stage most companies ignore in the buyer's journey? Packed with real-world examples, bold perspectives, and practical frameworks for change, this episode will get you rethinking your approach to product, leadership, and revenue growth. If you're ready to turn customer-centricity from a buzzword into your breakthrough strategy, don't miss this conversation! Some areas we explore in this episode include: Responsible and Safe AI – Ethics, guardrails, and compliance in AI development.Shadow AI Risks – Dangers of ungoverned AI and protecting company data.Customer Obsession – Making customer outcomes a core organizational focus.Revenue Momentum – Using AI and alignment to drive sustained business growth.Breaking Down Silos – Connecting all business functions for better collaboration and KPIs.Pre-awareness in the Buyer Journey – Building trust and influence before customers identify their needs.Change Management & Culture – CEO-driven culture and effective organizational change strategies.AI Agents & Agentic Systems – Defining and building true autonomous AI agents.Customer-driven Product Development – Co-creating solutions with customers based on real pain points.Scaling Customer Experience – Turning every touchpoint, including support and legal, into a customer experience advantage.And much, much more...

What if the biggest threat to next year's revenue isn't churn—but the quiet erosion of loyalty you never saw coming? With 85% of professional services revenue riding on existing clients, old tools like NPS and gut instinct just won't cut it anymore. In this special edition, we're taking you inside the Knownwell platform itself—no roundtable, no guests—just a front-row seat to how real-time commercial intelligence is changing the game. Knownwell Chief Marketing Officer Courtney Baker and Chief Product and Technology Officer Mohan Rao walk through the platform live, showing how executives can go from blind spots and firefighting to confident, data-backed decisions in minutes. Watch as they simulate a Monday morning at a fictional agency—and reveal how Knownwell helps leaders prep for surprise client calls, uncover hidden growth opportunities, and balance energy across a full portfolio. This isn't just a product demo. It's a blueprint for how high-performing teams are staying ahead of risk, strengthening client relationships, and winning renewals—without the guesswork.

Host Matt Fisher talks to Michael Coen, Chief Product & Technology Officer and Michelle Skinner, Chief Clinical Executive, TeleTracking about challenges in healthcare operations and patient flow; viewing flow as a form of logistics that requires coordination across a system and facilities; enabling efficient and effective flow with trusted data; impact of AI going forward. To stream our Station live 24/7 visit www.HealthcareNOWRadio.com or ask your Smart Device to “….Play Healthcare NOW Radio”. Find all of our network podcasts on your favorite podcast platforms and be sure to subscribe and like us. Learn more at www.healthcarenowradio.com/listen

-(00:39) Disney has demanded that Character.AI stop using its copyrighted characters. Axios reports that the entertainment juggernaut sent a cease and desist letter to Character.AI, claiming that it has chatbots based on its franchises, including Pixar films, Star Wars and the Marvel Cinematic Universe. -(02:25) One day after Wired reported that OpenAI was preparing to release a new AI social video app, the company has revealed it to the wider world. It's called the Sora app, and it's powered by OpenAI's new Sora 2 video model, allowing it to generate AI-made clips of nearly anything. -(04:21) Spotify founder and CEO Daniel Ek will be transitioning to the role of executive chairman on January 1 of next year. The current Co-President and Chief Product and Technology Officer Gustav Söderström and Co-President and Chief Business Officer Alex Norström will take his place as co-CEOs. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Send us a textJoin hosts Alex Sarlin and guest co-hosts  Matt Tower of Whiteboard Advisors,  & Kate Eberle Walker, CEO of Presence as they break down the latest headlines in education technology and from Big Tech's AI push to the evolving future of school models. ✨ Episode Highlights:[00:00:00] Kate Eberle Walker on parents' concerns about AI chatbots and student mental health [00:03:20] Apple integrates OpenAI and Gemini into Siri, reshaping the AI race [00:04:15] Global AI shake-up: Microsoft shifts to Anthropic, Baidu gains ground, Google antitrust update [00:14:45] Edtech funding slowdown and investor focus on regulated markets like special education [00:18:07] OpenAI launches certifications for frontline workers; Google gamifies AI literacy with Stanford [00:27:43] First NAEP results post-pandemic show continued learning loss and lack of political focus on academics [00:39:01] Accountability challenges in education: attendance, wellness, and equity in public vs. private models[00:43:46] Debate on Alpha Schools' “two hours of AI per day” model and its implications for learningPlus, special guest: [00:50:17] Chris Walsh, Chief Product and Technology Officer of PBLWorks on scaling project-based learning

In this episode of The Product Experience, Patrick Ndjientcheu, Chief Product and Technology Officer at Irembo, shares how his team transitioned from delivering projects for government to building a portfolio of scalable products. Patrick talks about shifting mindsets from execution to strategy, spinning out payments and identity into independent products, and the challenges of balancing internal bias with customer needs. He also reveals how Irembo is evolving into a super app, why sales enablement is crucial in a B2B context, and the lessons he has learned guiding teams through the move from project to product to product portfolio.Six things we learned from PatrickProject to product mindset: Repeat customer demand signals value, turn ad-hoc projects into structured products with identity, principles, and strategy.Team restructuring without turnover: Shifting from project delivery to product development requires reorganising teams around capabilities.Spinouts emerge from features: Payments and identity started as embedded features, but with scale and external demand, became standalone products.Bias is real: Teams naturally over-index on the dominant revenue product. Separation, customer interviews, and rebranding are critical to balance focus.Sales enablement matters: Without educating sales and customers on new platform capabilities, adoption stalls and value is under-communicated.Leadership lesson: Product leaders must bring the whole organisation on the journey—marketing, sales, finance, and operations—not just product teams.Featured Links: Follow Patrick on LinkedIn | Irembo | Inspire Africa Our HostsLily Smith enjoys working as a consultant product manager with early-stage and growing startups and as a mentor to other product managers. She's currently Chief Product Officer at BBC Maestro, and has spent 13 years in the tech industry working with startups in the SaaS and mobile space. She's worked on a diverse range of products – leading the product teams through discovery, prototyping, testing and delivery. Lily also founded ProductTank Bristol and runs ProductCamp in Bristol and Bath. Randy Silver is a Leadership & Product Coach and Consultant. He gets teams unstuck, helping you to supercharge your results. Randy's held interim CPO and Leadership roles at scale-ups and SMEs, advised start-ups, and been Head of Product at HSBC and Sainsbury's. He participated in Silicon Valley Product Group's Coaching the Coaches forum, and speaks frequently at conferences and events. You can join one of communities he runs for CPOs (CPO Circles), Product Managers (Product In the {A}ether) and Product Coaches. He's the author of What Do We Do Now? A Product Manager's Guide to Strategy in the Time of COVID-19. A recovering music journalist and editor, Randy also launched Amazon's music stores in the US & UK.

Will AI replace middle managers, or will it make them more human than ever? In this episode, Knownwell CMO Courtney Baker, CEO David DeWolf, and Chief Product and Technology Officer Mohan Rao unpack AI's real impact on middle management. Is the leadership pipeline about to be disrupted? Or will we see a resurgence of mentorship, critical thinking, and apprenticeship models? Pete Buer continues his conversation with philosopher, author, and Forbes columnist Dr. Pia Lauritzen. They dive deep into the existential risks of AI and why existential, ethical, and epistemological questions must never be left to AI All of that PLUS Pete joins Courtney to review some AI news. This week they discuss a Wired article on how scientists are using AI to invent bizarre, yet effective experiments. The takeaway? AI isn't just about automation—it's about creative collaboration.  Don't miss insights on what leadership training might look like in an AI-first world, why critical thinking beats arithmetic, and how "question culture" could be the secret to better business decisions. Curious how AI is reshaping leadership and redefining what it means to manage? Try rethinking your organization's leadership journey from the ground up. Visit www.Knownwell.com/experience to explore real-time commercial intelligence—and join the conversation on LinkedIn to tell us how you think we should train the next generation of leaders. Watch this episode on YouTube: https://youtu.be/NG3fNH3aia8 

What's up with “the MIT study” that claims 95% of all AI pilots fail? Did anyone actually read it beyond the headline? (Dan did—and he has thoughts.)Also: the good, the bad, and the quietly dystopian side of putting AI in kids' classrooms.And… are robots really the thing Melania should be worrying about? That's just some of what Kwaku Aning, return guest and founder of Retrofuturism, and I get into on this very lively, very bubbly, and very uncrafted edition of CRAFTED.More new episodes—and a major update to the show—are coming soon. Subscribe in your favorite podcast app and get the newsletter at crafted.fm---Come hang with us at PopTechCome hang with us and see live recordings of CRAFTED., at PopTech! PopTech is a “curator of what's next” and this will be my third time at the conference. I keep going back because I get new ideas, new inspiration, and really get to know the attendees and speakers. This year's talk's include “A possibilist's guide to the future”, “AI: In service to human(ity),” “Vibe coding for human rights” and more. To see the full list of talks and speakers, see PopTech.org and if you've never been before and would like a discount, DM me on LinkedIn or email me: dan@modernproductminds.com ---Referenced in this episode:MIT study on AI profits rattles tech investors (Axios)Full 26-page MIT study (Scribd)AI Is a Money Trap (Ed Zitron)The Fever Dream of Imminent Superintelligence Is Finally Breaking (Gary Marcus in the NYTimes)How Chatbots and AI Are Already Transforming Kids' Classrooms (Bloomberg)Alpha School – the “AI-Powered Private School”Melania Trump Has a Warning for Humanity: ‘The Robots Are Here' (NYTimes)---Like this episode?You'll also like my conversation with Khan Academy's Chief Product & Learning Officer on what happens when AI becomes your tutor—and what it means for the future of learning.

What You'll LearnWhy sustainability wasn't the initial growth lever and how ThredUp found product-market fit by prioritizing value and convenience.The pivotal shift from a peer-to-peer marketplace to an asset-backed resale model through bag-drop logistics.How ThredUp scaled partially automated distribution centers to process over 100,000 unique items daily.The key metrics that balance throughput, speed, and quality in large-scale resale operations.How generative AI and visual search transformed discovery, personalization, and customer confidence.The cultural practices — hackathons, AI bootcamps, and atomic building blocks — that sustain innovation and rapid adoption internally.How Resale-as-a-Service enables major brands like Madewell to run white-labeled resale programs powered by ThredUp's technology and operations.Highlights00:00 – Introduction: Dan's 15-year journey at ThredUp02:00 – Why sustainability alone didn't drive growth04:00 – The bag-drop pivot: asset-backed vs. P2P resale07:30 – Marketplace dynamics: limited buyer-seller overlap09:00 – Jobs-to-be-done thinking & unlearning old models12:00 – Scaling ops: from scrappy warehouses to the world's largest clothing carousel17:00 – Throughput vs. quality: metrics that matter21:00 – AI-powered search & discovery: cottagecore to mermaidcore26:30 – Internal AI adoption: hackathons & “atomic building blocks”33:30 – Building a culture of innovation and infinite learning36:30 – Resale-as-a-Service for brands like Madewell39:30 – Future of shopping: agentic AI and frictionless commerce42:00 – Shoptalk Fall preview + closing thoughtsQuotes[00:02:30]: “Even if someone cares about the planet... we did not find product-market fit. We had to work a lot early on to better understand the needs of both buyers and sellers.” - Dan DeMeyere[00:12:15]: “It was a little bit like jumping out of an airplane and just having trust in ourselves that we're gonna build or find a parachute before we hit the ground.” - Dan DeMeyere[00:20:30]: “Trust is so important, especially in the used space. We have to become clever in helping customers feel confident with the potential fit and flattery of every item.” - Dan DeMeyere[00:39:30]: “If your core experience can be improved through AI, why do you need to put ‘AI' on the website? It's about the value you bring, the job they're hiring you for.” - Dan DeMeyereAbout the GuestDan DeMeyere is the Chief Product and Technology Officer at ThredUp, a leading online resale platform pioneering sustainable fashion through technology and operational innovation. With 15 years at ThredUp starting from its inception, Dan has overseen the company's evolution from a peer-to-peer marketplace into a high-velocity, AI-enabled resale giant processing over 100,000 items daily. He is passionate about customer-centric product development and leveraging AI to transform retail experiences at scale.Links Mentioned- ThredUp: https://www.linkedin.com/company/thredup/- Dan DeMeyere on LinkedIn: https://www.linkedin.com/in/dandemeyere/

בפרק חדש של הסדרה, יוני אירח את יעלי דרשביץ תמרי, Chief Product and Delivery Officer @ One Zero, כדי להבין ממקור ראשון איך מייצרים שירות לקוחות מוצלח בעידן ה-GenAI? דיברנו על: - מהם העקרונות לשילוב AI ליצירת שירות לקוחות אפקטיבי? - איך בונים אמון כשהלקוח מתכתב עם AI, במיוחד בתחום רגיש כל כך? - אילו מטריקות וכלים עוזרים לשפר את השירות בזמן אמת? - ואיך שינוי התפיסה בנוגע לשירות לקוחות השפיע על החברה?

Why do firms silently bleed customers, and how can AI help stop it? In this revealing episode of AI Knowhow from Knownwell, CMO Courtney Baker, CEO David DeWolf, and Chief Product and Technology Officer Mohan Rao lift the curtain on the biggest Knownwell platform update yet. They explore how AI can detect hidden signals across departments, sometimes before the metrics even move, and why ignoring 90% of the noise is just as critical as surfacing the right 10%. Using a playful analogy involving Courtney and Mohan's beloved Oura Rings, the team illustrates how contextual clues in client relationships can predict major issues before they explode. David and Mohan explain how Knownwell's new features proactively identify fires, budget pressures, and executive turnover to help firms avoid disaster. In this week's “AI in the Wild,” Pete Buer breaks down a controversial Microsoft memo that makes AI usage mandatory and raises deeper questions about critical thinking, tool diversity, and performance reviews. Plus, in part two of his interview, Matt Stauffer, CEO of Tighten, shares why AI hasn't radically changed his software team's structure—and how seeing AI as a junior developer helps separate hype from reality. His take? AI shines in grunt work but still needs human oversight to deliver excellence. Explore how to stop flying blind and start harnessing AI for what it does best before it's too late. Visit www.knownwell.com to get a guided tour of the platform. Watch this episode on YouTube: https://youtu.be/9MYYHhcU3cA 

In this episode of Skin Anarchy, host Dr. Ekta Yadav sits down with Irina Mazur, Chief Product and Marketing Officer at Revieve, to explore how AI is revolutionizing beauty—not just in products, but in personalized consumer experiences. With a background in mobile tech and digital health, Irina brings a deep understanding of how data can solve real-world problems—especially in an industry where personalization has become a buzzword.Revieve is building something different: a diagnostic platform that uses selfie-based analysis and hundreds of proprietary skin metrics to provide tailored skincare, makeup, and wellness recommendations—without collecting any personally identifiable data. But this isn't just about tech. It's about helping people understand the truth about their skin, bridging the gap between perception and clinical reality, and empowering consumers to make smarter, more confident choices.Irina shares how the company's approach to personalization goes far beyond basic filters. It adapts to the user, the brand, the category, and even the shopping environment. And for retailers, Revieve delivers serious impact: boosting conversions, increasing basket size, and even informing product development through anonymized insights.If you're curious about the future of diagnostics in beauty, the role of AI in lifestyle-based skincare, or how trust and transparency are redefining the industry, this conversation is a must-listen. Tune in to discover how Revieve is building the infrastructure for the next generation of intelligent, ethical, and personalizedTo learn more about Revieve, visit their website and social media.CHAPTERS:(0:00) Introduction to Irina Mazur and Revieve(1:05) Irina's Career Journey and Tech Influence in Beauty(2:46) The Evolution of Beauty and Consumer Interactions(4:00) Revieve's Comprehensive Consumer Journey(5:58) The Real Meaning of Personalization in Beauty(9:03) Skin Analysis Through AI and Consumer Perception(12:04) Educating Consumers on Their Skin Health(14:01) How Revieve Guides Product Recommendations(25:53) Wellness Integration into Beauty and Future Expansion(29:12) Closing Thoughts on the Future of Personalization in BeautyPlease fill out this survey to give us feedback on the show!Don't forget to subscribe to Skin Anarchy on Apple Podcasts, Spotify, or your preferred platform.Reach out to us through email with any questions.Sign up for our newsletter!Shop all our episodes and products mentioned through our ShopMy Shelf! Hosted on Acast. See acast.com/privacy for more information.

Client churn may be inevitable, but what if your relationships were strong enough to resist it? Knownwell CMO Courtney Baker is joined by CEO David DeWolf and Chief Product and Technology Officer Mohan Rao to dissect how AI can help build resilient, multi-threaded client relationships. They explore why single-threaded accounts are risky, how AI can map relationship networks, and the ways it enables proactive value delivery through real-time insights and signals. Special guest Matt Stauffer, CEO of Tighten, sits down with Pete Buer to share how professional services firms can responsibly integrate AI. Matt warns against AI maximalism and discusses the real ROI behind building AI tools—advising companies to start with the business problem, not the shiny tech. All of that, PLUS Pete unpacks insights from LinkedIn CEO Ryan Roslansky on how to AI-proof your career.  Want to turn insights into action? Download Knownwell's white paper, “AI-Powered Strategies for Scaling Professional Services,” at www.knownwell.com/scalingwhitepaper.  Watch this episode on YouTube: https://youtu.be/geeqPMhGRcY 

July 28, 2025: Jacob Hansen, Chief Product and Technology Officer at AvaSure, examines how healthcare is shifting from siloed departments to cross-functional journey teams. How are these collaborative approaches finally breaking through traditional barriers that have slowed healthcare innovation? The conversation explores the emerging world of agentic AI while grappling with where automation enhances care versus where the human touch remains irreplaceable. As ambient clinical documentation technology gains traction and physician acceptance, Jacob shares insights from AvaSure's virtual care maturity model and reflects on what patients actually want from healthcare technology. Can incremental implementation build the trust needed for widespread adoption, and will AI finally serve as the equalizer that brings healthcare innovation up to speed with other industries? Key Points: 03:17 Virtual Care Maturity Model 08:13 AI Agents in Healthcare 16:31 AI for Clinical Documentation 24:04 Closing Thoughts and Future Tech News Articles:  How journey teams transformed IT at Ochsner Health AI Agents Are Coming To Healthcare Abridge Secures $300M Series E Led by a16z to Pioneer a New Paradigm of Care Intelligence X: This Week Health LinkedIn: This Week Health Donate: Alex's Lemonade Stand: Foundation for Childhood Cancer

When we talk about the future of enterprise software, AI is front and center. But behind the buzzwords, real transformation is happening in how businesses plan, execute, and deliver professional services. In this episode, I sat down with Raju Malhotra, Chief Product and Technology Officer at Certinia, to explore how AI is shifting from theory to practice in high-scale environments. Certinia, a native ISV on Salesforce, is helping global tech and service firms like Cisco, Siemens, and PwC automate their services operations. With over two million users and six million active projects, the platform isn't just adding AI for the sake of it. It's embedding it directly into workflows to solve tangible business challenges. Raju shares a clear framework for understanding how different types of AI are being implemented. Predictive AI is already deeply integrated into enterprise processes. Generative AI is gaining traction for simplifying content and communication. Agentic AI, the most recent frontier, enables digital agents to complete complex tasks independently within enterprise guardrails. What stood out in our conversation was the emphasis on outcomes over features. Raju makes a compelling case for starting every technology decision by understanding the customer's goals. Certinia's approach avoids chasing trends for the sake of headlines. Instead, the focus is on delivering results like improved margins, higher resource utilization, and smarter project delivery. We also discussed Certinia's early adoption of Salesforce's Agent Force and how their team works closely with Salesforce engineering to align on AI strategy. Rebranding their ERP Cloud to Financial Management Cloud was another move that reflects their sharper focus on services-centric financials, rather than trying to be everything to everyone. There's a clear message in this conversation. Innovation in AI must be matched with investment in performance, latency, scale, and user experience. For any tech leader navigating the AI landscape, Raju's insights provide a grounded, real-world guide. How are you aligning your AI investments with measurable business outcomes?

Another CEO memo on AI is making waves - this time from Amazon's Andy Jassy, who outlines the tech giant's aggressive AI strategy and hints at workforce reductions. While some may see it as ominous, others view it as a rallying cry for change. The AI Knowhow team dives deep into what this latest corporate proclamation really means. First, NordLight CEO Pete Buer and Knownwell CMO Courtney Baker unpack Jassy's memo, especially its stark honesty about AI's impact on jobs—and what it means for your own upskilling strategy. Then Courtney is joined by Knownwell's CEO David DeWolf and Chief Product and Technology Officer Mohan Rao to unpack how leaders at all levels—not just the C-suite—can take initiative, align teams, and prove they're a few steps ahead before the next memo lands. From strategic intent to narrative discipline and modular operating systems, they break down the practical moves that position you to lead with action, not just reaction. Also, Pete Buer chats with Jeff McKay, founder of Prudent Pedal, to explore how AI is transforming organizational structures in professional services firms. They examine McKay's “IC Triad” model and how marketing, sales, and delivery must evolve to remain competitive in the AI era. Check out the Knownwell platform to see how your own company's data can unlock next-level decision-making at www.knownwell.com.  Watch this episode on YouTube: https://youtu.be/inqzp0KmoWg 

Recruiting Future is a podcast that helps Talent Acquisition teams drive measurable impact by developing their strategic capability in Foresight, Influence, Talent, and Technology. This episode is about Talent. After years of hype surrounding skills-based hiring, the data is showing that it is really happening at scale and becoming strategically important across all sectors and company sizes, with some surprising patterns emerging. Organizations are seeing benefits beyond just filling roles, and the implications for TA and HR are significant. What's driving this shift, and what do TA teams need to know? My guest this week is David Wilkins, Chief Product and Strategy Officer at Talent Neuron. David has produced some exclusive data insights for Recruiting Future that paint a clear picture of where skills-based hiring stands today. In our conversation, he shares where the market is, what specific companies are doing, the real benefits they're seeing, and his thoughts on how AI might change everything in the future. In the interview, we discuss: What the data tells us about how skills-based hiring is being adopted Which types of companies are moving the fastest Expanding talent pools Driving internal mobility Spotting potential at scale Implications for talent acquisition Breaking the silos in the talent function The full impact of AI is not yet being felt. The intersection between tasks and skills What does the future look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify. A full transcript will appear here shortly

How do you create a culture where innovation comes from everywhere? In this episode of the CPO Rising Series hosted by Products That Count Resident CPO Renee Niemi, Monday.com Chief Product and Technology Officer Daniel Lereya will be speaking on building a product-centric organization that empowers teams to drive continuous innovation. Daniel shares insights from Monday's journey from a 30-person startup to a global public company, revealing how passionate people and a unique approach to product management can transform an organization.

Accenture just rebranded its core services as "Reinvention Services." But is this just corporate posturing or a sign of something bigger happening in professional services? First, Pete Buer returns with a breakdown of the business impact of Accenture's move. He asks: Is AI finally becoming an operating system for enterprises, not just a toolkit? He dives into how Accenture's internal reorganization reflects broader pressures in the consulting industry, including margin compression, commoditization, and the urgent need to differentiate. Knownwell CMO Courtney Baker is joined by Knownwell CEO David DeWolf and Chief Product and Technology Officer Mohan Rao to further unpack the implications of Accenture's bold repositioning. They explore why this move might signal a shift from episodic transformation to continuous reinvention and how smaller firms can adapt and stay relevant. David shares how positioning—not just performance—is now critical for service firms trying to escape the zero-sum game. Mohan offers a grounded analysis of how AI collapses silos and demands a rethinking of not just tools, but organizational architecture. If your business is still treating AI as a “next quarter” concern, this episode is your wake-up call. Visit Knownwell.com to see how your own company's data could be working harder for you.

Even though people are at the heart of business outcomes, HR leaders still struggle to be seen as essential voices at the executive table. In this episode, Karina Young, VP of People at 15Five, sits down with Jeff Smith, Chief Product and Marketing Officer at 15Five, to talk about how to show up in the boardroom with clarity and confidence. Jeff shares lessons from working closely with HR leaders over the years and offers practical guidance on how to present people strategy as business strategy. They cover how to prepare for board meetings, tell compelling stories with data, and answer tough questions without losing trust. This episode offers an honest and empowering look at why HR deserves a seat at the table. Join us as we discuss: (00:00) Meet HR Superstar: Jeff Smith (05:02) Jeff Smith on what happens inside a boardroom (07:13) Fighting for your seat at the table (08:31) How to communicate HR strategy in business terms (10:42) Organizing the data you're presenting (13:53) The value of preparing with your peers (20:29) How to prep for tough questions in the boardroom (22:19) Avoiding common pitfalls in presentations (23:22) The power of storytelling when sharing data (26:54) Building confidence and presence ahead of high-stakes conversations   Resources: For the entire interview, subscribe to HR Superstars on Spotify, Apple Podcasts, or YouTube, or tune in on our website. Original podcast track produced by Entheo. Listening on a desktop & can't see the links? Just search for HR Superstars in your favorite podcast player. Hear Karina's thoughts on elevating your HR career by following her on LinkedIn: https://www.linkedin.com/in/karinayoung11/ Download 15Five's HR Outcomes Playbook: https://www.15five.com/ebook/hr-outcomes-playbook-unlocking-the-true-business-value-of-hr/?utm_source=podcast&utm_medium=podcast&utm_campaign=Q2_2023_Podcast_CTAs&utm_content=HR Outcomes Playbook  For more on maximizing employee performance, engagement, and retention, click here: https://www.15five.com/demo?utm_source=podcast&utm_medium=podcast&utm_campaign=Q2-Podcast-Ads&utm_content=Schedule-a-demo Jeff Smith's LinkedIn - https://www.linkedin.com/in/jeffsmithphd