Podcasts about chief product

In this episode of Manufacturing Unscripted, host Peter Parsons sits down with Anoop Mohan, Chief Product and Technology Officer at Augury, to talk about how AI is reshaping the factory floor. Anoop shares how Augury became a leader in machine health, what's fundamentally changed in AI over the last few years, and why the next wave isn't just about predicting machine failures, but giving every persona in a plant a smarter way to work. A great listen for anyone trying to figure out where AI actually fits in manufacturing. Sponsored by Promess Inc., the leading provider of fully electric servo presses for manufacturing.   Watch on Youtube: https://youtu.be/UTXeghqPO5o @Anoop Mohan  @Augury  @peter parsons    @promess   

In this episode of AML Conversations, host Elliot Berman sits down with Abhishek Mittal, Executive Vice President and Chief Product & AI Officer at AML RightSource, to explore how artificial intelligence is reshaping the financial crime prevention landscape. Abhishek makes a compelling case that domain experts are more valuable than ever — not despite AI, but because of it — as they become essential architects of the taxonomies, context, and judgment that make AI systems reliable and auditable. The conversation covers how organizations can effectively blend domain knowledge with AI engineering, why guardrails must be built on a foundation of sound architecture rather than technology alone, and what it really takes to get your data ready for AI. Abhishek also addresses the blurring line between services and software, and closes with a myth-busting take on what AI can and can't do — including why equating large language models with AI itself may be the industry's biggest misconception today.

Dan DeMeyere, Chief Product & Technology Officer at ThredUp, has spent more than a decade helping scale one of the world's largest online resale marketplaces, growing from one of the company's earliest engineers into the leader of product and technology strategy today. Dan operates at the intersection of AI, ecommerce, and marketplace logistics, with a focus on how emerging technologies are reshaping the customer experience. We asked him to unpack one of the biggest shifts happening in commerce right now: the collapse of the traditional ecommerce funnel. Dan explains why the future of shopping may no longer revolve around static websites and linear customer journeys, but instead around AI agents acting on behalf of every consumer. He shares how dynamically generated experiences and agentic commerce are changing the way brands think about personalization, merchandising, and conversion. The conversation explores why companies need to rethink what's possible with AI, empower engineers to experiment with the latest tools, and evolve from designing interfaces to designing intelligent systems. Why are so many organizations still underestimating this shift, and what will feel obvious five years from now that companies still miss today? Whether you're leading transformation inside a large enterprise or building the next generation of AI-native commerce experiences, this episode offers a forward-looking perspective on how AI will redefine the future of shopping.

Introduction What if the real bottleneck in commercial insurance isn't distribution or pricing—it's the workflow itself? Nearly $100 billion of SME P&C insurance is placed every year using manual processes, disconnected systems, and data that lives in spreadsheets and email threads. Hamesh Chawla has spent the last four years building the infrastructure to change that. Before founding Mulberri in 2021, Chawla led product and technology at Edelman Financial Engines and Asurion. He came to insurance not as a lifer but as a technologist who saw an industry still running on 20th-century tooling. Mulberri is his answer: an AI operations platform connecting PEOs, brokers, SMEs, and carriers—from smart submission and risk scoring to quote-and-bind and certificate of insurance. In this conversation, Josh Hollander and Chawla dig into why the MGA market was the right pivot, what AI governance looks like when binding decisions carry real capital risk, and why the SME segment is the most underserved frontier in commercial insurance. Guest Bio Hamesh Chawla is the Co-Founder and CEO of Mulberri, an AI operations platform for MGAs, PEOs, brokers, and carriers serving the SME market. Before Mulberri, he was EVP and Chief Product & Technology Officer at Edelman Financial Engines, with prior roles at Asurion and Zephyr (acquired by SmartBear). He holds an MS in Computer Science from Texas A&M University. Mulberri has raised $10.8M from Eos Venture Partners, Altamont Capital Partners, MS&AD Ventures, and Hanover Technology Management. Key Topics • The $100B manual workflow problem — Nearly $100B of SME P&C is placed annually using ACORD forms emailed back and forth, loss runs parsed by hand, and decisions made without the data that exists in the market. Mulberri automates this stack. • From embedded insurance to AI operating system — Chawla explains why he pivoted from embedded distribution to building the workflow layer MGAs actually run on—ingesting unstructured data, structuring it through a GenAI OS, and routing decisions with full context. • AI governance when capital is at stake — When AI is binding real policies, black-box models get rejected. Mulberri surfaces claim propensity, frequency, severity, and loss ratio so underwriters can interrogate and trust the output. • The PEO channel as data and distribution — PEOs sit on firmographic and workforce data directly predictive of workers' comp risk. Embedding into that channel is both a data strategy and a go-to-market strategy. • Building for carriers, brokers, and SMEs simultaneously — Carriers need loss ratio visibility, brokers need submission efficiency, SMEs need straightforward access. Aligning all three is the hardest product problem in the space. Notable Quotes "Our mission since day one has been to leverage technology to complement underwriters' expertise—simplifying and streamlining the business insurance process while ensuring transparency." "The Risk Engine puts the information underwriters need at their fingertips to make fast, accurate decisions—not replacing them, but making them dramatically more effective." Resources Guest: • Mulberri: https://www.mulberri.io • Hamesh Chawla on LinkedIn: https://www.linkedin.com/in/hameshchawla/ Host & Organization: • Joshua R. Hollander on LinkedIn: https://www.linkedin.com/in/joshuarhollander/ • Horton International (USA): https://www.horton-usa.com/ • Insurtech Leadership Podcast (LinkedIn Showcase): https://www.linkedin.com/showcase/insurtech-leadership-show Subscribe & Review If you enjoyed this episode, subscribe on your favorite platform and leave a review. The Insurtech Leadership Podcast is available on YouTube, Apple Podcasts, and Spotify.

We love to hear from our listeners. Send us a message. On this week's episode of the Business of Biotech, Marinna Madrid, Ph.D., Cofounder, Board Member, Chief Product and Regulatory Officer at Cellino, talks about scaling up an automated manufacturing process she co-invented for personalized autologous induced pluripotent stem cell (iPSC) therapies using laser-activated substrates and AI. Marinna describes her work with industry groups to improve regulatory guidelines, Cellino's partnership strategy, the implications of receiving FDA's Advanced Manufacturing Technologies designation, and the future of iPSC therapies.  Access this and hundreds of episodes of the Business of Biotech videocast under the Business of Biotech tab at lifescienceleader.com.  Subscribe to our monthly Business of Biotech newsletter. Get in touch with guest and topic suggestions: ben.comer@lifescienceleader.comFind Ben Comer on LinkedIn: https://www.linkedin.com/in/bencomer/

Stanley 1913 has moved far beyond a single blockbuster product. Graham Nearn, Chief Product and Sustainability Officer, PMI WW Brands, LLC (Stanley 1913), sits down with Jeremy Goldman to discuss how a brand with a century of history stays absolutely relevant in a trend-driven market. Inside the Episode: - The Credibility Ladder: Why every expansion must pass the four filters of quality, originality, invention, and mission to avoid overextending the brand. - Lifestyle Evolution: How the Vitalize collection and the new Clutch Bottle move the company beyond hydration and into everyday essentials. - Universal Truths: Adapting a global strategy to meet hyper-local needs, from car culture in the US to commute culture in Asia. - Circular Success: A look at the award-winning Take Back program that reclaims 96 percent of materials for the supply chain. - Predictive Learning: Using real-time social dialogue and data to inform the next move before the market catches up. Stop managing a blockbuster product. Start fueling the human experience.

Everyone is building AI agents… but very few are talking about the biggest blocker: fragmented data. I sat down with Ravi Marwaha, Chief Product & Technology Officer at Arango, on The Ravit Show to unpack what's really going on beneath the surface.This was not a typical “AI hype” conversation. We went deep into why agents that are supposed to reason, decide, and act are still struggling in real enterprise environments. And it comes down to one thing: context.Here's what stood out from the conversation:- Ravi's journey and why he chose to build at the intersection of data and AI- How fast the space has evolved and why most architectures are already outdated- The real problem with fragmented data when it comes to building reliable agents- The rise of the “context layer” and why everyone is suddenly talking about it- Where Arango fits in vs vector databases, graph databases, and data catalogs- Real customer use cases that go beyond theory- And what the next 18 months could look like for this entire spaceOne thing became very clear to me:The definition of a data platform is changing in real time. It is no longer just about storing or querying data. It is about enabling AI systems to actually understand and use that data in context.If you are building anything in AI right now, this is a conversation worth paying attention to.#data #ai #context #arango #theravitshow

In the latest episode of Executive Function, Brett is joined by Diya Jolly, Chief Product and Technology Officer at Xero. Before Xero, Diya was CPT at Okta and led YouTube's advertising monetization products at Google. In this conversation, she unpacks her three-bucket framework for delegating decisions, why the most important part of a CPO's role is to drive team-wide ambition, and why the best executives need to spend half their time thinking, not doing. In today's episode, we discuss: Why a CPO's number one job is raising their team's ambition, not shipping features How to demand the best from your team without creating a fear-based culture Why organizational politics is actually an incentives problem How Diya is “militant” with her calendar to carve out dedicated thinking time Why you should avoid chasing titles in your career - and what to chase instead References: Google: https://www.google.com Melio: https://meliopayments.com Okta: https://www.okta.com Sukhinder Singh Cassidy: https://www.linkedin.com/in/sukhinders/ Xero: https://www.xero.com Where to find Diya: LinkedIn: https://www.linkedin.com/in/diyajolly Where to find Brett: LinkedIn: https://www.linkedin.com/in/brett-berson-9986094/ Twitter/X: https://twitter.com/brettberson Where to find First Round Capital: Website: https://firstround.com/ First Round Review: https://review.firstround.com/ Twitter/X: https://twitter.com/firstround YouTube: https://www.youtube.com/@FirstRoundCapital This podcast on all platforms: https://review.firstround.com/podcast Timestamps: 00:12 How an excellent CPO makes an impact on the business 02:01 How the CPO role shifts under founders vs hired CEOs 03:38 Influencing a founder without going deferential 07:37 How adding value to customers is always a net positive 08:45 Why roadmaps need more risk in the AI era 12:30 How to shelter innovation teams from the existing system 15:12 What's different about being a great CPO in 2026 17:34 How AI has changed the concept of an app 18:28 It's essential for CPOs to fly at a low altitude 20:34 How misaligned incentives cause organizational politics 25:13 Being demanding without creating a fear-based culture 28:10 Why raising ambition is a CPO's number one job 31:39 The boss who taught Diya to keep raising the bar 32:43 The hardest part of being a CPO 35:28 The three buckets Diya uses to delegate 36:30 How Diya protects deep-work time on her calendar 42:45 Xero's game-changing early bet on AI insights 44:58 How far into the future should CPOs plan for? 47:14 What it takes to be an excellent C-suite member 48:53 Why ambitious PMs should chase impact, not titles 50:28 The four bottlenecks that stall career growth

In this episode of Innovation and the Digital Enterprise, Patrick and Shelli welcome Jolie Fleming, Chief Product and Technology Officer at IHG Hotels & Resorts, to discuss leading tech teams across a global, franchised hospitality ecosystem spanning 21 brands and nearly 7,000 hotels in 100+ countries. Jolie discusses her career journey, specifically what tools she brought and what challenges she met when moving from financial services to hospitality. She explains IHG's combined tech team, which unifies product and dev to increase speed, predictability, and gives business context increased visibility. They discuss the ever-shifting role of AI in future planning. And Jolie shares three key strategic themes: helping hotels keep “heads in beds”, improving operational efficiency with new property management systems, and deepening guest engagement via a new CRM tied to IHG One Rewards.(00:00) Welcome Jolie Fleming, Chief Product and Technology Officer at IHG Hotels & Resorts(01:10) Jolie's Career Journey from Finance to Hospitality(02:39) Understanding IHG's Global Scale and Franchising(09:39) Jolie's One Team Culture(16:58) Discussing Strategic Themes and AI(23:45) IHG's Loyalty Rewards and CRM Personalization(27:17) How to Future Proofing for ChangeJolie Fleming's career spans more than 25 years of leading transformative growth through product management and technology initiatives across fintech, hospitality, and consulting sectors. Currently, she is the Chief Product & Technology Officer at IHG Hotels & Resorts. Previously she spent nearly nine years at E*TRADE, as Managing Director of Investing, Digital Channels, and Banking and then Head of Digital and Client Experience. She earned her bachelor's degree from Northwestern University.If you'd like to receive new episodes as they're published, please subscribe to Innovation and the Digital Enterprise in Apple Podcasts, Spotify, or wherever you get your podcasts. If you enjoyed this episode, please consider leaving a review in Apple Podcasts. It really helps others find the show.Podcast episode production by Dante32.

GoFundMe has facilitated over $40 billion in help since 2010, powering a community of more than 200 million people across 20 countries. Arnie Katz is the Chief Product and Technology Officer there — and a three-time CPTO, having previously led product and engineering at StubHub and TheRealReal. In this episode, he brings the rare perspective of someone who has built and scaled marketplaces at every stage, across multiple industries.What you'll learn:The three failure modes every marketplace must solve — cold start, imbalance failure, and false positive growth — and how to fix each oneHow GoFundMe is using AI agents to reduce friction for fundraisers, resulting in an expected $125 million in additional funds raisedWhy AI is driving revenue growth at GoFundMe, not just developer productivity — and how they sequenced that deliberatelyThe real trade-offs of the CPTO model: what you gain in speed, and what you have to mitigate through hiringHow GoFundMe is building demand-side and matching mechanisms to grow donation volume beyond viral sharingKey takeaways:Marketplace liquidity isn't just about having enough supply — it's about designing the right matching and demand mechanisms at every stage of scaleAI unlocks revenue opportunities that were previously uneconomical to pursue, especially when the customer is already in a vulnerable, high-friction stateThe CPTO structure enables faster decision-making, but requires consciously strong functional leaders underneath to offset the natural lean toward one sideCredits:Host: Carlos Gonzalez de VillaumbrosiaGuest: Arnie KatzSocial Links:Find out more about Product School hereFollow our Podcast on TikTok hereFollow Product School on LinkedIn here

Rigvi breaks down what truly useful AI looks like, grounded in outcomes like spend optimization, revenue protection, and predictive maintenance, not just convenience features or marketing buzz. He also makes the case that AI won't replace FM professionals, it will finally let them do the job they were always meant to do. Welcome to Elevating Brick and Mortar. A podcast about how operations and facilities drive brand performance. On today's episode, we talk with Rigvi Chevala, Chief Product and Technology Officer at ServiceChannel. With over 20 years in B2B SaaS across industries ranging from local marketing to trucking to real estate, Rigvi brings a uniquely cross-industry lens to the challenges and opportunities facing facilities management today. Guest Bio: Rigvi is an experienced management executive with strong leadership skills and over 20 years of experience in software and product development and has led multiple product lines with >$200M in ARR. He manages and and executes product roadmaps and organizational strategy with experience in evolving B2B SaaS products and reusable digital platforms. TIMESTAMPS: 00:52 - About ServiceChannel 04:19 - What surprised Rigvi about facilities 08:47 - Key unsolved challenges in the industry 11:37 - Defining useful AI vs. marketing noise 15:08 - Breaking down AI types (generative, agentic, computer vision) 28:33 - Why 90% of AI initiatives fail 33:54 - Will AI replace FM roles? 39:37 - Advice for leaders evaluating AI tools SPONSOR: ServiceChannel brings you peace of mind through peak facilities performance. Rest easy knowing your locations are: Offering the best possible guest experience Living up to brand standards Operating with minimal downtime ServiceChannel partners with more than 500 leading brands globally to provide visibility across operations, the flexibility to grow and adapt to consumer expectations, and accelerated performance from their asset fleet and service providers. LINKS: Connect with Rigvi on LinkedIn Connect with Sid Shetty on Linkedin Check out the ServiceChannel Website Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Send us Fan MailIn this week's episode of the Digital and Dirt podcast, Ian sits down with Mehmet Bal, Chief Product and Technology Officer at Infinite Studios, a next-generation entertainment platform at the intersection of human creativity and AI. Mehmet discuss how he evolved from aspiring basketball player to tech leader and shares his perspectives on how AI is transforming creativity, storytelling, and the future of advertising.Podcast Breakdown00:00 - 03:35 Introduction, basketball roots & overcoming fear03:36 - 07:05 Journey to engineering, startups & Apple's 5G work07:06 - 10:45 Adobe, generative AI & the start of the creative shift10:46 - 14:20 AI + creativity, tools for artists & founding Infinite Studios14:21 - 18:05 Infinite Studios, scaling content & AI in advertising18:06 - 30:10 Real vs AI media, small brand advantages & automation30:11 - 40:15 AI in film, storytelling & creative possibilities40:16 - 55:52 Evolution of art, workflows & future of creativity with AI

ogle Cloud Next, Cloud Wars CEO and Founder Bob Evans sits down with Karthik Narain, Chief Product and Business Officer, Google Cloud, to discuss how AI is fundamentally changing enterprise expectations. Narain explains why customers no longer judge technology providers by licenses sold or cloud consumption, but by measurable business outcomes. From forward-deployed engineers to agentic workflows and the evolving role of product design, he outlines how Google Cloud is rethinking engagement, product development, and enterprise transformation in what he calls the third major wave of technology innovation. AI Demands Outcomes The Big Themes: Outcomes Replace Consumption Metrics: Narain explains that enterprises are no longer measuring technology providers by how many licenses they sell or how much cloud consumption occurs. Instead, success is now judged by outcomes delivered. Customers expect providers like Google Cloud to share equal responsibility for business results, not just provide tools and leave execution to the customer. This represents a major shift from prior eras where businesses viewed themselves as the sole owners of converting technology into value. AI's speed and sophistication have raised expectations dramatically. The Third Technology Wave: Narain frames today's AI era as the third major wave of enterprise technology over the past 60 years. The first wave from mainframes through ERP, focused on codifying business processes into repeatable systems. The second wave centered on delivery model innovation, moving software into SaaS and cloud environments. The third wave is fundamentally different because the technology itself learns and evolves. Rather than giving software fixed instructions, enterprises must feed it data, context, and reasoning. This changes how software is designed and deployed. Every Feature Must Become a Skill: Products must now be designed for both humans and AI agents. Narain explains that every feature inside enterprise software needs to be exposed as a “skill” that agents can activate directly. This means software can no longer assume a human user is the only operator. Agents must be able to trigger workflows, execute tasks, and coordinate processes independently. This changes how products are structured from the ground up. The Big Quote: “The application's user interface is no longer clicks and drop-downs. It is going to be prompts and agentic workflows." Visit Cloud Wars for more.

What does it mean to be a true product rebel in the age of AI? Heather Samarin and Vidya Dinamani sit down with Raviv Levi, former Chief Product & Technology Officer at Sift, as they unpack how product leaders can stay focused on what really matters—amid constant noise, data overload, and accelerating change. From building alignment across competing teams to rethinking experimentation in an AI-first world, this conversation explores how faster prototyping, sharper problem focus, and stronger conviction are redefining product leadership.

It's YOUR time to #EdUp with Dr. Madhavi Chandra, Chief Product & Strategy Officer, EntrinsikIn this episode, recorded LIVE from the Ellucian Live 2026 conference in Denver, Colorado,YOUR host is Dr. Jodi BlincoListen 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 access to the only intelligence platform built exclusively from presidential conversations in higher education? Join EdUp Leadership!

Relebogile Mabotja speaks to Alan Quinn the Chief Product and Innovation Officer at Cars.co.za exploring whether pre-owned hybrid cars are a smart investment in South Africa, especially in the context of rising fuel prices and a growing interest in more efficient vehicles. 702 Afternoons with Relebogile Mabotja is broadcast live on Johannesburg based talk radio station 702 every weekday afternoon. Relebogile brings a lighter touch to some of the issues of the day as well as a mix of lifestyle topics and a peak into the worlds of entertainment and leisure. Thank you for listening to a 702 Afternoons with Relebogile Mabotja podcast. Listen live on Primedia+ weekdays from 13:00 to 15:00 (SA Time) to Afternoons with Relebogile Mabotja broadcast on 702 https://buff.ly/gk3y0Kj For more from the show go to https://buff.ly/2qKsEfu or find all the catch-up podcasts here https://buff.ly/DTykncj Subscribe to the 702 Daily and Weekly Newsletters https://buff.ly/v5mfetc Follow us on social media: 702 on Facebook https://www.facebook.com/TalkRadio702 702 on TikTok: https://www.tiktok.com/@talkradio702 702 on Instagram: https://www.instagram.com/talkradio702/ 702 on X: https://x.com/Radio702 702 on YouTube: https://www.youtube.com/@radio702 See omnystudio.com/listener for privacy information.

SEASON: 6 EPISODE: 23Episode Overview:Welcome back to Becoming Preferred, the podcast where we interview the brightest minds in business today to help you level up your game and become the best version of you.If you are an entrepreneur or a marketing leader, you've repeatedly heard the mantra 'do more with less'. But our guest today says that's the wrong goal. She believes we shouldn't just be doing more; we should be redesigning the work itself.Lisa Cole is the Chief Product, Marketing, and AI Officer at 2X, where she heads their AI Center of Excellence. With over 20 years of experience and three major B2B transformations under her belt, Lisa has become the 'secret weapon' for CMOs looking to bridge the gap between human creativity and machine efficiency. She is the author of Brand Gravity, The Revenue RAMP, and her highly anticipated new book, The Limitless CMO.Today, we're going to talk about how to move from being a 'cost center' to a 'revenue engine,' the reality of AI adoption , and how to build a brand that has enough 'gravity' to pull customers toward you without you having to chase them. Join me for my conversation with Lisa Cole.Guest Bio: Lisa Cole is Chief Product, Marketing & AI Officer and Head of the AI Center of Excellence at 2X. For more than 20 years, Lisa has helped B2B marketing leaders achieve more with less by redesigning how marketing work gets done through strategic outsourcing, AI adoption, and performance management.Lisa has led three major B2B marketing transformations, including award-recognized work, and she's been a trusted advisor to CMOs for nearly 16 years. She's also the author of Brand Gravity, The Revenue RAMP, and her newest book, The Limitless CMO.Resource Links:Website: www.lisacole.aiCompany Website: https://2x.marketing/Insight Gold Timestamps:03:31 I shifted and pivoted into marketing06:13 I remember when I started the very first question a company would ask is, should I have a website?08:36 The underlying principle there is still true, you actually have to ask them11:07 By the time they've actually made that decision to engage with your brand directly...12:43 Marketing is the one that makes sure that you are both findable, understood, and chosen16:21 Could marketing do a better job of being proactive with that, with the sales department?20:24 The premise behind brand gravity is...23:33 No better time to be a founder or entrepreneur, if you're comfortable with just putting your point of views, and your secret sauce out in the world25:52 Your superpower is going to be wherever is uniquely human28:02 Are there some must haves that small businesses should have?31:53 The most common piece of feedback I get is...32:22 My measure of success here is engagement34:27 You have to be okay with change36:10 And you argue for redesigning how work gets done instead of just working harder37:37 My favorite question to ask is, how long does it take for you to get a campaign from an idea into market?40:02 You head the AI Center of Excellence at 2X42:04 The new book's called The Limitless CMOConnect Socially:LinkedIn: www.linkedin.com/in/lisacole01Twitter (X): https://x.com/CMOInnovatorCompany: https://www.youtube.com/@2xmarketingTikTok: https://www.tiktok.com/@thelimitlesscmoEmail: lisa.cole@2X.marketingSponsors: Rainmaker LeadGen Platform Demo: https://calendar.summit-learning.com/widget/booking/JKItVP7WErmCBjU2cCIxRainmaker Digital Solutions: https://www.rainmakerdigitalsolutions.com/

Cash flow underwriting, explainable AI, and credit risk analytics are changing how lenders approve borrowers and set loan terms. Tedd Huff, CEO of fintech advisory firm Voalyre and founder of Fintech Confidential, sits down with Jamie Twiss, CEO of Carrington Labs, and Kasey Kaplan, Chief Product and Commercial Officer, to break down how behavioral signals in bank transaction data outperform traditional credit scores.Over 50 percent of loan applicants cannot produce a reliable credit score, leaving self-employed workers, gig earners, and younger borrowers locked out of the system. Carrington Labs uses billions of lines of transaction data to build personalized, explainable machine learning models per lender, per product, and per customer segment. The conversation covers their "control point" approach to AI, lifecycle underwriting beyond origination, open banking friction in the US, and a five-year outlook on embedded, agent-driven lending.FIND OUT MORE1️⃣ Map analytics to every step of your lending funnel to find exactly where borrowers drop off and why.2️⃣ Buy best-of-breed origination and servicing tools instead of building proprietary underwriting tech in-house.3️⃣ Start with off-the-shelf models, lend small, collect performance signal, then shift to custom models fast.4️⃣ Offer higher loan limits to borrowers who sync more accounts through open banking.5️⃣ Track how borrowers respond to financial scarcity and build those behavioral patterns into your credit criteria.GuestJamie Twiss LinkedIn: https://www.linkedin.com/in/james-twiss/Kasey Kaplan LinkedIn: https://www.linkedin.com/in/kaseykaplan/CompanyCarrington Labs: https://www.carringtonlabs.com/Carrington Labs LinkedIn: https://www.linkedin.com/company/carringtonlabs/Beforepay Group: https://www.beforepaygroup.comFintech ConfidentialPodcast: https://fintechconfidential.com/listenNotifications: https://fintechconfidential.com/accessLinkedIn: https://www.linkedin.com/company/fintechconfidentialX: https://x.com/FTconfidentialInstagram: https://www.instagram.com/fintechconfidentialFacebook: https://www.facebook.com/fintechconfidentialAbout the GuestsJamie Twiss is CEO of Carrington Labs and Beforepay Group. He began his career at McKinsey & Company, held senior banking roles including Chief Data Officer at a major Australian bank, and now leads the development of explainable AI credit risk models for lenders globally.Kasey Kaplan is Chief Product and Commercial Officer at Carrington Labs. With over 15 years across payments, program management, and fintech lending, he leads commercial execution across credit risk scoring, cash flow underwriting, and loan limit solutions.About the CompanyCarrington Labs is the AI and enterprise software division of ASX-listed Beforepay Group. The company builds explainable AI credit risk scoring, cash flow underwriting, and loan limit solutions for banks and non-bank lenders worldwide, having powered over 4 million loans through its sister business.About the HostTedd Huff, CEO of fintech advisory firm Voalyre and founder of Fintech Confidential. With 25+ years in fintech and payments, he brings entertaining and informative conversations focused on the people, tech, and companies that change how you pay and get paid.DD3 MediaFintech Confidential is a production of DD3 Media, a media creation, management, and production company delivering engaging fintech content globally.Chapters00:00 Episode Highlights01:04 Welcome to Fintech Confidential01:13 DFNS: Wallets as a Service (sponsor)02:34 Meet Carrington Labs04:48 Casey FinTech Origin06:05 Jamie Credit Risk Path07:59 Mission Beyond Scores10:16 Cashflow Underwriting13:35 Alternative Data Behaviors17:37 Built Inside Beforepay21:01 AI Control Points24:07 Deterministic Vs Inference28:35 Keeping Bias Out34:48 Real Client Turnaround36:44 Funnel Friction Signals38:25 Optimizing Drop Off39:21 Sky Flow: Building Fast and Secure (sponsor)40:21 Product Specific Risk Models42:32 From Shelf To Custom43:34 Model Retraining Workflow47:05 Siloed Versus Consortium48:59 Cashflow Behavior Insights50:25 Feature Engineering Matters51:41 Macro Shocks In Data56:07 Lifecycle Servicing Signals57:36 Limit Management Uplift58:55 Open Banking Pushback01:03:53 Crystal Ball AI Lending01:09:11 Advice And Wrap Up01:13:24 Hawk AI: Realtime Fraud Monitoring (sponsor)01:14:10 Disclaimer

In this episode, Michael Nappi, Chief Product and Engineering Officer at ScienceLogic, shares insights into AI Ops, its role in modern IT management, and how it helps large enterprises and MSPs streamline their infrastructure monitoring and management. Discover how AI-driven automation and observability are transforming IT operations.

Send us Fan MailDaniel Lereya is Chief Product and Technology Officer at monday.com, the AI work platform trusted by 60% of the Fortune 500 and valued at approximately $8 billion. He joined the company when it had 30 people and $4.5M ARR, and has since grown his team from 5 to nearly 900 people as monday.com crossed $1 billion in ARR.In this episode, Daniel draws on nearly a decade of scaling one of the world's most adopted work platforms to share what it actually takes to rebuild product thinking from scratch when AI changes everything you thought you knew.In this conversation, we discuss:Why the instincts that made monday.com successful are the exact ones Daniel says had to be dismantled to build AI-first products.What the critical difference is between building a demo that impresses and an agent that actually works in production, and where most teams get it wrong.Why Daniel believes wrapping AI inside rigid workflows produces better results than giving agents full discretion, and what monday.com learned the hard way.What happened when 2,000 of 3,000 monday.com employees started building their own apps in just two weeks, and what it revealed about the future of who gets to build software.Why Daniel argues that when an AI agent makes a mistake, the real question leaders should be asking has nothing to do with the technology.Why the biggest barrier to AI adoption is not the technology itself, and what Daniel says companies must stop waiting for before they start.Explore:00:00 Why AI Adoption Is Harder Than It Looks00:53 Introduction + AI Commerce Standards: Google, OpenAI & Visa04:30 Daniel Lereya's 9-Year Journey Scaling monday.com to $1B ARR09:00 How AI Forces a Complete Reset in Product Thinking12:25 The "AI Month" Initiative: Pausing R&D to Rebuild from Scratch14:57 Building AI Products When the Output Is Non-Deterministic20:47 What 250,000 Customers Taught Us About AI in the Real World25:38 Responsible AI: Guardrails, Governance, and Data Control31:28 Who Is Responsible When an AI Agent Makes a Mistake?37:04 The Future of Work: Humans, Agents, and What Comes NextResources:Subscribe to the AI & The Future of Work NewsletterConnect with Daniel on LinkedInAI fun fact articleOn How we can take back control from Big Techhttps://peoplereign.io/podcast/

Unified commerce and European payments are under pressure as merchants juggle fragmented vendors, local debit schemes, and country-by-country compliance. Tedd Huff, CEO of fintech advisory firm Voalyre and founder of Fintech Confidential, sits down with Niv Liran, Chief Product and Technology Officer at Unzer, to break down how one platform serves over 85,000 merchants across Germany, Austria, Switzerland, and Denmark.Niv explains how Unzer consolidated 13 acquired companies into a single system using a one-application-per-purpose rule, why local language sales and compliance expertise outperform global common-denominator approaches, and how open banking and the European Payments Initiative are creating new payment rails. The conversation gets specific on merchant migration tactics, daily workflow savings from eliminating multi-vendor reconciliation, and where AI-powered tools fit for small businesses within the next three to five years.FIND OUT MORE1️⃣ Gate your best features to the new platform so merchants have a reason to migrate without being forced.2️⃣ Ask prospects to walk through their daily actions before pitching; let the pain sell the solution.3️⃣ Set a one-app-per-purpose rule before consolidation starts to prevent political gridlock across acquired teams.4️⃣ Test every partnership against two filters: does it help the merchant, and will consumers actually adopt it.5️⃣ Connect directly to local accounting software in each market; it locks in retention and kills reconciliation overhead.GuestNiv Liran on LinkedIn: https://www.linkedin.com/in/nivliranUnzer: https://www.unzer.comFintech ConfidentialPodcast: https://fintechconfidential.com/listenNotifications: https://fintechconfidential.com/accessLinkedIn: https://www.linkedin.com/company/fintechconfidentialX: https://x.com/FTconfidentialInstagram: https://www.instagram.com/fintechconfidentialFacebook: https://www.facebook.com/fintechconfidentialSupporters of Fintech ConfidentialUnder.io: Streamlines application and underwriting by digitizing PDFs for e-signature. under.io/FTCSkyflow: A zero-trust data privacy vault delivered as an API covering PCI, CCPA, GDPR, SOC 2, and beyond. skyflowsecure.comDFNS: Wallets as a service, API first, multi-chain, secured with MPC across 50+ blockchains. fintechconfidential.com/dfnsHawk AI: Real-time payment screening, AML transaction monitoring, and dynamic customer risk rating. gethawk.comAbout the GuestNiv Liran is Chief Product and Technology Officer at Unzer. He entered fintech at Groupon in Berlin solving chargebacks on billions in monthly volume, then held leadership roles at Rocket Internet and AUTO1 Group, where he scaled the tech department from 5 to over 350 employees. He holds a B.Sc. in Computer Science and an MBA from INSEAD.About UnzerUnzer is a payments and commerce platform serving more than 85,000 merchants across Germany, Austria, Denmark, and Luxembourg with unified online, in-store, and back-office solutions through its UnzerOne platform.About the HostTedd Huff, CEO of fintech advisory firm Voalyre and founder of Fintech Confidential. Produced by DD3 Media, Fintech Confidential brings you the people, tech, and companies that change how you pay and get paid.Chapters00:00 Episode Highlights01:02 Welcome to Fintech Confidential01:10 DFNS: Wallets as a Service (sponsor)02:32 Meet Niv Inbar05:08 Why Unified Commerce Is Hard07:02 Falling Into Payments09:46 Unser vs Stripe Adyen11:30 Localizing Across Europe12:44 One Platform Consolidation15:12 Merchant Migration Playbook17:43 Merchant Day to Day Example20:21 Skyflow - Your Privacy API (sponsor)21:18 Taming Local Debit Schemes23:29 Selling ROI and Reducing Risk26:29 Partnerships Open Banking EPI29:20 EPI and Digital Wallet Future31:06 Market Consolidation Ahead32:27 Crystal Ball Unified Commerce35:26 AI Agents for Small Business37:32 One Sentence Founder Advice39:11 Wrap Up Key Takeaways41:03 Hawk AI - Realtime Fraud Monitoring (sponsor)41:47 Disclaimer

What happens when customer experience stops being a soft metric and starts becoming a direct driver of revenue, retention, and real-time action? In this episode, I sat down with Jeff Gelfuso, SVP and Chief Product and Experience Officer at Qualtrics, during X4 Summit in Seattle to talk about how AI is changing the way businesses understand and improve customer relationships. Jeff shared how his role sits at the point where product, experience, and business outcomes meet, helping customers use Qualtrics in ways that are both practical and measurable. One of the biggest themes in our conversation was the shift from simply listening to customers to actually doing something in the moment. For years, many companies have relied on surveys, dashboards, and reports that told them what had already gone wrong. Jeff explained how that model is changing fast. With AI, organizations can now understand signals as they happen and trigger action before a poor experience turns into churn, frustration, or lost revenue. We talked about examples from brands like Marriott and TruGreen, and this is where the conversation became especially interesting. In TruGreen's case, AI-powered analysis helped reveal that service quality, not price, was the real reason customers were leaving. That kind of insight changed the conversation from guesswork to financial impact. When one point of retention can mean $10 million in annual revenue, experience suddenly becomes a boardroom issue, not just a customer service metric. Jeff also offered a refreshingly clear view on agentic AI. Instead of treating it as another layer of hype, he described it as a way to turn experience data into action, using context to help businesses close the loop faster and with greater precision. That means moving beyond smarter dashboards and toward systems that can surface priorities, recommend next steps, and help teams act without getting buried in complexity. Another standout part of the discussion was how Qualtrics is helping customers move beyond pilot purgatory. Jeff was candid that meaningful AI progress still takes work, focus, and the discipline to solve the right problems first. The companies seeing real value are not trying to do everything at once. They are identifying specific use cases, tying them to real business outcomes, and building from there. What I enjoyed most about this conversation was how clearly Jeff connected technology to human experience. Yes, there was plenty of discussion around AI, automation, and context, but at the heart of it all was something much simpler. Better experiences build stronger relationships, and stronger relationships drive loyalty, trust, and growth. So if your business is still treating experience as a nice-to-have instead of a measurable driver of performance, what might you be missing right in front of you? I would love to hear your thoughts after listening.

Ecommerce no longer rewards scale alone. As customer expectations rise and margins tighten, revenue growth and conversion optimisation depend on how well organisations use their data, align their teams, and simplify their technology stack. Brands that fail to adapt are discovering that being data-rich but insight-poor is no longer a survivable position.In this episode of Tech Transformed, host Christina Stathopoulos, Founder of Dare to Data, speaks with Kailin Noivo, President and Co-Founder of Noibu, and Rohit Nathany, Chief Product and Technology Officer at Mejuri. Together, they unpack what is holding ecommerce teams back from sustained revenue and conversion growth and what actually works in practice.Ecommerce Revenue Growth in a High-Cost, High-Expectation MarketToday's ecommerce environment is shaped by rising acquisition costs, operational sprawl, and customers who expect speed, relevance, and reliability by default. Rohit points to macroeconomic pressure, tariffs, and shifting buying behaviour as forces that are squeezing margins while raising the bar for customer experience.At the same time, brands are struggling to connect the dots between marketing spend, on-site behaviour, and conversion outcomes. Personalisation is widely discussed, but execution often breaks down when teams cannot see how customer interactions move from ad click to checkout. Kailin describes this as a “perfect storm”, explaining that: “infrastructure scaled rapidly during the pandemic, and now needs consolidation, optimisation, and clearer ownership.”Customer Experience, Team Alignment, and the Practical Use of AIImproving customer experience at scale requires more than simply adopting new technology. Organisations also need the right data, processes, and operational alignment to turn those tools into meaningful customer outcomes. It requires teams to work from the same signals and trust the same data. Both Kailin and Rohit stress that AI and automation only deliver value when they remove friction from day-to-day operations rather than adding another layer of complexity.Used well, AI can support data analytics by automating routine monitoring, surfacing patterns that matter, and freeing teams to focus on higher-value work. Used poorly, it becomes just another disconnected tool. The difference comes down to team alignment and culture, like clear ownership, shared goals, and a willingness to continuously refine how decisions are made.For ecommerce leaders, this is less about digital transformation as a slogan and more about operational discipline. Simplifying the stack, aligning teams around outcomes, and treating customer experience as a measurable business driver are what sustain revenue growth when conditions are uncertain.If you would like to find out more, visit: https://www.noibu.com/TakeawaysBuilding resilience in revenue and conversion growth is crucial.Ecommerce leaders face a perfect storm of challenges.AI is central to enhancing customer experience in ecommerce.Data-rich environments often lead to insight-poor outcomes.Connecting the dots between data and decisions is essential.A strong culture of experimentation fosters innovation.Tool consolidation can streamline operations and reduce costs.Visibility in data access is critical for effective decision-making.Speed of action is influenced by organisational culture.Establishing a KPI tree helps unify team efforts.Chapters00:00 Introduction to Ecommerce Challenges06:04 Real-World Applications of Ecommerce Analytics & Monitoring11:50 The Role of AI in Ecommerce17:57 Data Utilisation and Decision Making24:13 Culture and Team Alignment in Ecommerce29:56 Practical Strategies for Ecommerce Leaders

Welcome to another episode of the To the Point Cybersecurity Podcast, brought to you by Forcepoint. This week, your hosts Rachael Lyon and Jonathan Knepher are joined by Neil Gad, Chief Product and Technology Officer at RealVNC, for an eye-opening conversation about the evolving threats and opportunities at the intersection of remote access, cybersecurity, and artificial intelligence. Together, they dive into how remote access is reshaping critical boundaries in cybersecurity, why secure-by-design principles are more important than ever, and the new risks emerging—especially those driven by application sprawl and the rapid adoption of AI technologies in the workplace. Neil Gad shares real-world examples from industrial settings, discusses the ongoing cloud versus on-premises debate, and explores how organizations should manage the massive scale and speed of AI-driven workflows. Listeners will also hear candid thoughts on the future of authentication, what quantum computing means for encryption, and the skillsets needed for the next wave of cybersecurity talent. Whether you're a cybersecurity professional, a technology leader, or simply curious about the future of securing data in a fast-moving world, this episode delivers timely insights and practical advice. For links and resources discussed in this episode, please visit our show notes at https://www.forcepoint.com/govpodcast/e375

AI may be everywhere right now, but for Stitch Fix, it's been foundational for 15 years.In this episode of Retail Remix, Nicole Silberstein sits down with Tony Bacos, Chief Product and Technology Officer at Stitch Fix, to explore how the brand blends data science and human instinct to power personalized styling at scale — and how that balance is helping fuel a business turnaround.Tony shares how Stitch Fix's recommendation engine has evolved from early algorithms to today's generative AI tools, including the new Stitch Fix Vision experience that lets clients see themselves in curated outfits. He also explains how AI is enhancing (not replacing) human stylists, from drafting personalized styling notes to enabling real-time stylist chat.Key TakeawaysHow Stitch Fix blends AI-driven recommendations with input from its thousands of human stylists; How generative AI is improving stylist productivity without sacrificing authenticity; Why bringing stylists “out from behind the curtain” has strengthened customer loyalty; The strategic moves behind Stitch Fix's recent business turnaround; Why personalization may matter even more as AI reshapes online discovery; and Tony's take on the ultimate retail question: algorithm or instinct?Related LinksExplore Stitch Fix's personalized styling experienceRelated reading: Why Stitch Fix is Focusing on its Human Stylists When Everyone Else is Talking About AIRelated reading: Stitch Fix Returns to Growth as Turnaround Strategy Bears FruitGet more retail industry insights from Retail TouchPointsSubscribe and catch up on all episodes of Retail Remix

Domenic Venuto is a prominent executive in the advertising and media technology space, currently serving as EVP and Chief Product & Data Officer at Horizon Media, one of the world's largest independent media agencies (based in New York).In this role (appointed in late 2024), he oversees enterprise-wide product, data, and AI strategy, driving innovation through Horizon's AI-native Blue Platform—which integrates data analytics, audience planning, measurement, and marketing to deliver transparent, trustworthy AI solutions for clients. He emphasizes avoiding "tech debt," prioritizing trust as the new currency in an AI-driven advertising world, and using first-party data enrichment to enhance brand-consumer relationships without black-box opacity.His career spans cross-disciplinary experience in product development, data analytics, client services, ad tech, and investment banking. Before Horizon, he held leadership roles including at Progress Partners (a merchant bank focused on tech and media M&A, capital raising, and advisory), and earlier positions in agencies and publishers. He's recognized as a thought leader on ethical AI innovation, interconnectivity in advertising, and evolving marketing beyond traditional broadcasting.Venuto is a frequent speaker at industry events like CES (2025/2026), Advertising Week, and podcasts/interviews (e.g., with Beet.TV, Teads, Marketecture, and others), where he discusses topics like trustworthy data over flashy AI demos, brand trust in media, and AI's role in rewriting agency-client dynamics.He is active on LinkedIn (linkedin.com/in/dvenuto) and Instagram (@aussiedish), sharing insights on media, tech, and personal interests. Based in New York/Brooklyn.

[SPONSORED] Health IT roadmaps used to span years. Now they are collapsing into months. The question many leaders are asking is whether vendors can actually keep up.In this interview, David Cohen, Chief Product and Technology Officer at Greenway Health, explains why the pace of change in healthcare has outgrown traditional multi-year planning cycles. He shares how Greenway is shifting to shorter delivery timelines to stay aligned with what ambulatory practices need right now, using provider–payer data exchange as a clear example of where faster execution matters.The conversation also touches on why manual workflows are becoming harder to justify, how expectations around delivery speed have changed, and what healthcare IT leaders should listen for when vendors talk about their roadmaps.How have shorter timelines changed what you expect from your technology partners?Where do you feel the most pressure to move faster?

On the podcast: testing prices from $5 all the way to $120 per year, why rising CACs forced a pricing rethink, and how raising the price allows them to discount more aggressively.This conversation is shorter than usual and will be featured in RevenueCat's State of Subscription Apps report. Each episode in this series will explore one crucial topic and share actionable insights from top subscription app operators.Top Takeaways:

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/agileConnect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.showCheck 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 Hosted on Acast. See acast.com/privacy for more information.

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

Stablecoins have quietly become the most successful use case in crypto.In this episode, Nikhil Chandhok, Chief Product & Technology Officer at Circle, explains why USDC is more than a digital dollar — it's a global financial network.We discuss economic inclusion, internet-scale finance, programmable payments, emerging markets, AI-driven payments, and why stablecoins are becoming the backbone of global money movement.

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

In this episode, Donna and Tom sit down with Andy Mowery to explore his distinguished 34-year career journey through Johnson & Johnson and The Clorox Company. Andy shares insights on leading global supply chain operations, driving operational excellence, and building resilient organizations in today's volatile market. He discusses the strategic role of technology in advancing supply chain capabilities, offering practical advice for companies without extensive resources. Andy reflects on fostering collaboration and innovation both internally and externally, and shares how his consulting experience prepared him for executive leadership. Now an adjunct instructor at Penn State's Smeal College of Business, Andy offers wisdom for the next generation of supply chain professionals navigating their career paths. Takeaways: Leading and scaling global supply chain operations across healthcare and CPG industries Leveraging technology to build agile and resilient supply chains Fostering collaboration and innovation with limited resources Career guidance for aspiring supply chain leaders Stay connected with CSCR on LinkedIn (Center for Supply Chain Research) and Instagram (@pennstatesupplychain), and be sure to follow us on Spotify, Apple Podcasts, or wherever you are tuning into Unpacked: Insights hosted by the Penn State Smeal Center for Supply Chain Research™. Thank you for joining us!  Visit our website: https://www.smeal.psu.edu/cscr  Guest Bio:  Andy Mowery is a seasoned supply chain professional with a 34-year industry career, predominantly with Johnson & Johnson and The Clorox Company. In his time at The Clorox Company he led Global Strategic Sourcing, Supply Chain Strategy, Global Operations and he concluded his career as the Senior Vice President and Chief Product Supply Officer, retiring in December 2020. In addition to his supply chain and Executive Committee responsibilities he was the Executive Sponsor for the Veterans ERG, and a member of the Compliance and Ethics, Enterprise Risk Management, and Employee Benefits Steering Committees. After retiring from industry, he has remained actively engaged in entrepreneurial ventures as a Board Member and Advisor to Oii.ai and as an advisor for the Happy Valley Launchbox. Andy is also an adjunct instructor at The Smeal College of Business where he shares his experiences and passion for supply chain with Penn State students. Andy is a third-generation Penn State alumnus and holds a Bachelor of Science in Quantitative Business Analysis and a Master of Business Administration from Villanova University.

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  

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!

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.