Podcasts about chief product

What does it mean to balance old school values with the rapid advancements of technology? In this episode of Better Call Daddy, host Reena Friedman Watts welcomes tech expert Oshri Cohen, who delves into the importance of maintaining traditional values in a world increasingly dominated by AI and digital innovation. Oshri shares his journey from a young coder to a fractional CTO, discussing how his unconventional beginnings shaped his approach to technology and business. He emphasizes the significance of creativity in an age where AI is often seen as a replacement for human ingenuity. The conversation touches on the challenges of parenting in the digital age, particularly when it comes to navigating platforms like YouTube, and how his new product, Watchly Player, aims to create a safer viewing experience for children. Reena and Oshri explore the evolving role of a CTO, the pitfalls of corporate culture, and the necessity of kindness in leadership. Oshri's insights challenge listeners to rethink their relationship with technology and the impact of family dynamics on personal and professional growth.   Oshri Cohen is an AI-native Chief Product & Technology Officer who helps companies build software the way modern teams actually should. Over 25 years in software — 20 of them in technology leadership — he has made AI-native transformation his focus: rewiring how engineering organizations plan, build, and ship, not just bolting AI features onto old workflows. He leans on cloud-native architecture, DORA metrics, and GitOps to turn slow, siloed teams into fast, measurable product engines. His range is unusually broad. Since 2018 he has served as fractional and interim CTO to more than 30 companies, almost all US-based, and at his peak directed 12 engineering teams across seven countries. He has shipped more than ten digital products across healthtech, e-commerce, manufacturing, logistics, and finance. A McGill business grad who taught himself to code at 13, Oshri leads business-first — every technical decision starts at the P&L, never the other way around.

What prevents a successful AI experiment from becoming a dependable production system that delivers measurable business value? In this episode of Tech Talks Daily, I speak with Ed Macosky, Chief Product and Technology Officer at Boomi, about AI pilot purgatory, integration, governance, model selection, token costs, and the technical skills businesses may need as adoption grows. Ed leads Boomi's product and engineering teams while also using AI tools inside his own organization. That gives him a view from both sides: creating technology for enterprise customers and applying it within active product development workflows. He believes many AI pilots begin with the wrong question. Teams become interested in the latest model or feature before defining the business problem they want to solve. The experiment may work during a demonstration, then fail when it encounters real data, access controls, security policies, and production systems. Placing company information inside a data lake and adding a language model does not automatically create a business application. The system must access current data reliably, respect employee permissions, connect with existing applications, and operate within governance rules that security teams can approve. Ed recommends beginning with a defined business opportunity and establishing the access required to support it. Existing APIs can already provide authentication, permissions, and governance. MCP can offer another route into enterprise systems, but those connections still require security, monitoring, and management. Team alignment also matters. An AI center may be racing to test models while an integration center concentrates on a different set of priorities. When those groups fail to coordinate, the pilot lacks the connectivity and automation required to become part of a production workflow. The discussion then turns toward fragmentation. Every technology wave produces new vendors, frameworks, and specialist tools. Early experimentation benefits from variety, but mature companies can eventually find themselves maintaining a complicated collection of products held together with custom code and, occasionally, the digital equivalent of duct tape. Ed does not recommend placing every function with one provider. He does argue for enough consolidation and abstraction to prevent experimentation from creating years of technology debt. Governance and observability should also work horizontally across different environments, including platforms such as SAP, Salesforce, and several AI model providers. That becomes increasingly important as businesses introduce autonomous agents. Leaders need to know which agents exist, what systems they can access, what actions they can take, and how each decision is recorded. AI gateways and agent control towers can provide a wider view across otherwise separate technology environments. Ed also introduces the idea of the frontier engineer. A prompt engineer concentrates on communicating effectively with a model. A frontier engineer understands how the model works, including its logic, mathematics, algorithms, and suitability for different workloads. He does not believe every company needs a large team of these specialists. However, he argues that enterprises need at least one person capable of assessing vendor claims and deciding whether a frontier model, specialist model, or open weight model fits a particular workload. Cost creates another reason to examine model selection. Sending every employee request or agent task to the most capable frontier model can become expensive. Some repeatable workloads may run on open weight models inside the company's cloud or hardware environment, giving finance teams greater cost certainty. Boomi is developing Boomi Prompt to route requests according to their complexity and requirements. A simple factual request might go directly to an API. A forecasting task may use a smaller model. A difficult analytical request could be sent to a frontier model. Ed uses the weather as a helpful example. Retrieving next Tuesday's forecast does not require a language model when a public weather API can return the answer directly. Asking a model to perform every form of automation wastes tokens, computing power, energy, and money. The episode closes with practical advice for CIOs. Avoid starting with a broad objective such as agentifying the entire business. Choose a department, identify a small number of tasks, define the expected return, and work backward. Once the team proves value and understands the operating requirements, it can repeat the process elsewhere. Could intelligent routing, stronger integration, and clearer business outcomes finally move enterprise AI beyond pilot purgatory? Listen to the episode and share your thoughts with me.

Discover the biggest announcements from XeroCon London 2026, including Xero Force, Partner Hub, Smart Document Capture, AI-powered automation, and what's next for accountants.   At XeroCon London 2026, Xero unveiled a wave of AI-powered innovations designed to help accountants and bookkeepers work more efficiently while supporting the needs of increasingly complex businesses. In this episode, Heather Smith speaks with Diya Jolly, Chief Product and Technology Officer at Xero, about the company's latest product announcements, the thinking behind its AI strategy, and how these developments will shape the future of the Xero ecosystem. XeroCon London 2026 highlights: Xero celebrates reaching five million subscribers and unveils major product announcements, including Xero Force, Xero Ultra and the new Xero Partner Hub. Smarter practice workflows: Learn how Book Health, Month End Readiness, Auto Bank Reconciliation and Smart Document Capture use AI to reduce manual work and improve bookkeeping accuracy. Building for larger businesses: Discover why Xero Ultra has been introduced and how Xero plans to support businesses as they grow without requiring a move to enterprise software. The future of AI at Xero: Diya explains Xero Force, AI agents, practical automation, and how AI is being embedded across the platform to help accountants deliver greater value. Lessons from the Australian outages: An open discussion about the AWS infrastructure incident, what happened behind the scenes, and how Xero is strengthening platform resilience. Whether you're an accountant, bookkeeper or Xero user, this conversation offers an inside look at the strategy, technology and product direction emerging from XeroCon London 2026. It provides valuable context behind the announcements and practical insights into how AI and automation are set to transform accounting workflows in the years ahead.   Apps & Tools Mentioned: Xero, Xero Partner Hub, Book Health, Month End Readiness, Auto Bank Reconciliation, Smart Document Capture, Hubdoc, Xero Files, Xero Force, Xero Ultra, Xero Payments, AWS, Amazon Web Services, OCR, JAX, AI Studio, Microsoft Copilot, ChatGPT   Episode resources and links: Diya Jolly Linkedin https://www.linkedin.com/in/diyajolly/ Xero https://www.xero.com/   If this episode helped you, the best way to support the show is to leave a review somewhere as it helps more people find us. And if you want to continue the conversation, come find me Heather Smith | Accountant and Storyteller on:   LinkedIn: https://www.linkedin.com/in/HeatherSmithAU/ Accounting Apps newsletter: http://accountingapps.io/ Accounting Apps Mastermind: https://www.facebook.com/groups/XeroMasterMind YouTube Channel: https://www.youtube.com/ANISEConsulting X: https://twitter.com/HeatherSmithAU

Joining us today is Jamie Tadelis, Chief Product & Investor Officer at SC Lowy. Jamie is one of the co-founders of SC Lowy and is currently based in their New York office, where he serves as the firm's Chief Product and Investor Officer focusing on existing and new investment vehicles, investor relationships, and ESG initiatives. Throughout his tenure at SC Lowy, Jamie has held various key roles, including Head of Sales, General Counsel, and Chief Compliance Officer, all while based in Hong Kong.    Before joining SC Lowy, Jamie served as General Counsel, Chief Compliance Officer, and a member of the Investment Committee at Abax Global Capital, a Hong Kong-based special situations asset manager. Prior to Abax, he was part of Avenue Capital Group's Asia-focused investment team in New York and Hong Kong, where he provided legal structuring expertise and guided investments through various bankruptcy and restructuring regimes across APAC.    Jamie's career began at JPMorgan in emerging markets structured products, followed by his role as a restructuring attorney at Kramer Levin (now Herbert Smith Freehills Kramer) in New York.    He holds a BA with a concentration in Management Information Systems from the State University of New York at Albany, a J.D. from Fordham University School of Law, Series 7, 63 and 24 licenses with FINRA and RO and Type 1 registrations with the Hong Kong SFC.

Rafa Flores, Chief Product and Growth Officer of Treasure AI, joins the podcast to talk about his career path from engineering recruiter to “boomerang” leader returning after six years away, and Treasure Data's rebrand to Treasure AI. Flores says the shift is an evolution based on the company's machine-learning and predictive heritage, its technical DNA of using AI internally, and a desire to create a lifestyle-like community brand. He explains Treasure AI Studio, which orchestrates CDP and activation in plain English across web and mobile, enabling faster troubleshooting, campaign deployment, and real-time insights. Flores argues first-party data remains a “goldmine” but must be activated incrementally with governed access; how AI helps answer questions quickly but requires guardrails, discusses fear and overemphasis on speed/cost versus value and predicts growth of “digital workers”.   About Treasure AI Treasure AI is the agentic experience platform helping the world's most loved brands finally activate the customer data they already have. Founded in 2011 and backed by SoftBank, the company spent 15 years quietly building the infrastructure behind some of the most recognizable names in retail, automotive, CPG, and financial services — before rebranding in 2026 to reflect what it had always been building toward. Named a Forrester Wave Leader for B2C CDPs, Treasure AI unifies fragmented first-party data into a single living customer profile and puts AI to work on it in real time, on behalf of human marketers who set the strategy and make the calls. The result for brands like Nestlé, AB InBev, Stellantis, and Condé Nast is measurable: millions in recovered media spend, significant revenue generated, and marketing teams that finally get to go home on time.   About Rafa Flores Rafa Flores is the Chief Product and Growth Officer at Treasure AI, where he leads product strategy and growth with a simple conviction: the best technology gives people their time back. A builder by nature and a father of four, Rafa has always believed that progress is personal — that the products worth building are the ones that free someone up to be more present, more creative, and more human. That belief drives everything from how he runs his teams to the unconventional call he made to give away free access to a platform traditionally reserved for Fortune 500 companies, a bet that raised eyebrows and is already showing results. He brings that same bias toward progress to every stage he walks onto.  Time Stamps 00:00 Welcome and Guest Intro 00:39 Rafa's Career Journey 01:53 Returning to Treasure Data 03:25 Move at Speed of Now 04:12 Rebrand to Treasure AI 07:22 Lifestyle Brand in B2B 09:57 AI Studio Use Cases 12:37 First Party Data Goldmine 16:29 AI Hype and Real Value 18:38 Digital Workers Ahead 20:31 SaaS Future and Guardrails 23:59 PLG Try Now Campaign 26:02 Advice and Wrap Up   Quotes "It's not just about how much time AI can save you, it's also about how much revenue it can drive for the business." Rafa Flores, CPO at Treasure AI. "Digital workers are about better supporting the human in the loop." Rafa Flores, CPO at Treasure AI. "The biggest mistake is everyone wants to rush to deploy AI."  Rafa Flores, CPO at Treasure AI.   Follow Rafa: Rafa Flores on LinkedIn: https://www.linkedin.com/in/ref2019/ Rafa Flores on Forbes: https://www.forbes.com/councils/forbestechcouncil/people/rafaelflores/ Treasure AI website: https://www.treasure.ai/ Treasure AI YouTube: https://www.youtube.com/@TreasureData   Follow Mike: Mike Maynard on LinkedIn: https://www.linkedin.com/in/mikemaynard/ Napier website: https://www.napierb2b.com/ Napier LinkedIn: https://www.linkedin.com/company/napier-partnership-limited/   If you enjoyed this episode, be sure to subscribe to our podcast for more discussions about the latest in Marketing B2B Tech and connect with us on social media to stay updated on upcoming episodes. We'd also appreciate it if you could leave us a review on your favourite podcast platform. Want more? Check out Napier's other podcast - The Marketing Automation Moment: https://podcasts.apple.com/ua/podcast/the-marketing-automation-moment-podcast/id1659211547

Elizabeth Stone is the Chief Product and Technology Officer (CPTO) at Netflix, where she oversees Engineering, Product, and Design. Since her first appearance on the podcast two years ago—which remained my second-most-popular episode for more than a year—she has expanded her role to lead product, in addition to engineering. Before Netflix, Elizabeth was VP of Science at Lyft, Chief Operating Officer at Nuna, an economist at Analysis Group, and a trader at Merrill Lynch.In our in-depth conversation, we discuss:1. Why “systems thinking” is now the most important skill she looks for2. How to manage the flood of AI-generated output without losing quality or signal3. How Netflix thinks about AI fluency as a universal expectation rather than a level-specific skill4. What “excellence as an operating system” means—Brought to you by:WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and more: https://workos.com/lennyMercury—Radically different banking, now with Command: https://mercury.com/command?utm_source=lennys&utm_medium=sponsored_newsletter&utm_campaign=26q3_brand_campaign—Episode transcript: https://www.lennysnewsletter.com/p/netflix-cpto-on-ai-and-the-future—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Elizabeth Stone:• LinkedIn: https://www.linkedin.com/in/elizabeth-stone-608a754—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction(02:25) AI and role confusion: the storming phase before the forming phase(07:36) How roles have changed in the past two and a half years(11:55) Will functions survive? The case for craft specialism(13:26) What Netflix is hiring more of—and less of(17:22) Why systems thinking is the rising skill across every function(20:20) Is the design process dead?(22:08) Skills trending down(28:33) AI fluency and Netflix's career ladder overlay(31:00) AI use cases beyond coding(35:12) Netflix's AI history(38:36) Excellence as an operating system(41:11) The pillars of the excellence OS(46:41) The keeper's test—and why it's mostly a positive conversation(50:21) Attracting top talent in the age of frontier AI labs(52:54) Junior talent, craft mastery, and the mentorship question(56:25) Where engineering goes in 5 to 10 years(59:45) The future of entertainment: beyond film and TV(1:02:18) AI in Hollywood: Netflix's creator-enablement position(1:06:15) Lightning round and final thoughts—Referenced:• How Netflix builds a culture of excellence | Elizabeth Stone (CTO): https://www.lennysnewsletter.com/p/how-netflix-builds-a-culture-of-excellence• Brian Chesky's new playbook: https://www.lennysnewsletter.com/p/brian-cheskys-contrarian-approach• The design process is dead. Here's what's replacing it. | Jenny Wen (head of design at Claude): https://www.lennysnewsletter.com/p/the-design-process-is-dead• Claude Code: https://www.anthropic.com/product/claude-code• Claude Cowork: https://www.anthropic.com/product/claude-cowork• Netflix's “Keeper Test” and Why You Need It | Lorne Rubis: https://www.highlights.lornerubis.com/2015/08/the-netflix-keeper-test-and-the-courage-to-take-it• Innovation for Filmmaking, By Filmmakers: Why InterPositive Is Joining Netflix: https://about.netflix.com/en/news/why-interpositive-is-joining-netflix• InterPositive: https://weareinterpositive.com• Netflix Prize: https://en.wikipedia.org/wiki/Netflix_Prize• Quarterback on Netflix: https://www.netflix.com/title/81482895• The Bill Simmons Podcast on Netflix: https://www.netflix.com/title/82186214• Spencer Pratt on Instagram: https://www.instagram.com/spencerpratt• Salman Rushdie's Substack: https://salmanrushdie.substack.com• Remarkably Bright Creatures on Netflix: https://www.netflix.com/title/81911351• Eight Sleep: https://www.eightsleep.com• Tour de France: https://www.letour.fr/en—Recommended books:• Thinking in Systems: https://www.amazon.com/Thinking-Systems-Donella-H-Meadows/dp/1603580557• Into Thin Air: A Personal Account of the Mt. Everest Disaster: https://www.amazon.com/Into-Thin-Air-Personal-Disaster/dp/0385494785• Liar's Poker: https://www.amazon.com/Liars-Poker-Norton-Paperback-Michael/dp/039333869X—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

In This Episode For years, Banking as a Service (BaaS) was sold as a silver bullet for community banks to solve their deposit problems and grow non-interest income. Through its evolution, the industry has learned that it is not enough for BaaS to simply be programmable. For innovation in banking to flourish, without sacrificing the safety and security of the banking ecosystem, BaaS must also be governable. With the bankruptcy of Synapse and the resulting consent orders, sponsor banks have been forced to prove their control over outsourced operations. This week on Breaking Banks, Jason Mikula, who wrote the book on BaaS, literally!, and is publisher of FinTech Business Weekly; Ellen Linardi, Chief Product and Technology Officer at Synctera; and Reid Whiting, President of Lincoln Savings Bank join Jason Henrichs to talk about sponsor banking. Is it growing up or catching up? Interested in learning more? Check show notes for a link to a paper, a blueprint really, for the choices a bank that wants to play in sponsorship banking will need to make. White Paper Link: Orchestration, Control, and Observability: A New Framework for Sponsor Banking https://alloylabs.docsend.com/view/gs8925x8yeii5vxg

What does it actually look like to run a one-day sprint cycle? To have agents building product overnight? To compress months of work into days — and still ship things that matter?Kris Kaneta, Chief Product & Innovation Officer at Norstella — one of fast company's most innovative companies of 2025 — is doing it. And in this episode, he shares how with hosts Heather Samarin and Vidya Dinamani.From the premium on clarity in an AI-led pdlc, to the difference between building to learn and building to earn, to why ai is exposing — not hiding — weak product thinking, Kris gives one of the most operationally grounded views of AI-first product leadership we've heard.

In today's Tech3 from Moneycontrol, we explain why domestic mutual funds are steadily increasing their stakes in Swiggy and Eternal, and what it could mean for the companies' quick commerce ambitions. We also bring you Xpressbees co-founder Amitava Saha's response to Delhivery's view on the future of India's logistics sector, look at how India has become the world's largest retail GCC hub, and unpack PhonePe's latest leadership reshuffle with Srijon Biswas taking over as CTO and co-founder Rahul Chari moving into an expanded Chief Product and Technology Officer role.

Searching the internet used to mean typing keywords into a search engine. Today, more people are turning to AI assistants for quick, conversational answers instead. As generative AI changes the way we search for information, what determines which businesses, brands and sources appear in those answers? And what does this shift mean for companies trying to stay visible online? On AI & Me, Lynlee Foo explores how AI is reshaping search, online discovery and digital communications with Jeff Hicks, Chief Product & Technology Officer at PR Newswire.See omnystudio.com/listener for privacy information.

In this closing panel from DX Annual, Rafe Colburn, Chief Product and Technology Officer at Etsy; Jesse Adametz, Senior Director of Engineering, Platform Engineering at Twilio; Eirini Kalliamvakou, Research Advisor at GitHub; Collin Green, Senior Staff UX Researcher at Google; and Brian Houck, Senior Principal Applied Scientist at Microsoft debate some of the biggest questions surrounding AI and engineering productivity.They discuss whether AI will reduce the need for engineers, how AI is affecting technical debt, the future role of software engineers in an agentic world, and whether organizations should mandate AI adoption. They also explore how bottlenecks are shifting across the software development lifecycle, the challenges facing junior engineers, and why learning, culture, and change management may ultimately matter more than the tools themselves.Where to find Rafe Colburn:• LinkedIn: https://www.linkedin.com/in/rafeco• Blog: https://rafe.codesWhere to find Eirini Kalliamvakou: • LinkedIn: https://www.linkedin.com/in/eirini-kalliamvakou-1016865• X: https://x.com/irina_kAlWhere to find Brian Houck: • LinkedIn: https://www.linkedin.com/in/brianhouckWhere to find Jesse Adametz: • LinkedIn: https://www.linkedin.com/in/jesseadametz • X: https://x.com/jesseadametz • Website: https://www.jesseadametz.com Where to find Collin Green: • LinkedIn: https://www.linkedin.com/in/collin-green-97720378In this episode, we cover:(00:00) Intro(01:16) Why an AI-first SDLC doesn't mean fewer engineers (03:09) The debate over AI and technical debt(07:40) AI-generated code and the future role of engineers(14:16) Why mandating AI use doesn't necessarily lead to better outcomes(20:43) Predictions for the future of junior engineers (23:22) Where the bottlenecks are in the SDLC now(28:25) How risk influences AI use (32:38) Why the human side is the biggest AI adoption challengeReferenced:• Etsy• GitHub• Microsoft• Twilio• Google • Stewart Reichling• What is the SPACE framework and when should you use it?

Elizabeth Stone, Chief Product and Technology Officer de Netflix, détaille la stratégie technologique du géant du streaming et sa vision du rôle de l'IA dans la création audiovisuelle.

VivaTech 2026 confirme sa montée en puissance face au CES • L'IA entre dans une phase industrielle • Les pépites françaises de la deeptech et du quantique se font plus visibles • Microsoft accélère les startups IA avec son programme GenAI Studio • Arlequin AI traque désinformation et signaux faibles à grande échelle • Netflix défend une IA au service des créateurs • Une startup française crée des parfums personnalisés grâce à l'IA⭐️ Découvrez Frogans, l'innovation française qui réinvente le Web

Some conversations stay with you for days. This one did. Last week at Team '26 in Anaheim, I spoke to my favourite Tamar Yehoshua, Chief Product and AI Officer at Atlassian. A week later, I'm still thinking about three things she said.Here's the thing about Tamar. I always learn something new every time we talk. She's one of those rare leaders who can zoom from a product detail to a 5-year vision in the same breath without missing a beat.What makes her perspective so useful: Tamar has shipped product at Google Search, led product at Slack through their tenfold growth and IPO, and ran product and technology at Glean. Three different eras of how knowledge workers find what they need at work. And now she's leading Atlassian's AI strategy at the moment the entire category is being redefined.Team '26 was her first Team event as CPO and AI Officer. You could feel the weight of that moment in the room.Here's what we got into:- Day one through her eyes. What it actually felt like to walk on stage as the new CPO and announce the biggest set of AI launches in Atlassian's history.- The connective thread. Atlassian covered massive ground in the keynote. AI for developers, service teams, product teams, agents in Jira. I asked Tamar how she wants people to think about Atlassian's AI strategy as one story instead of five. Her answer reframed the whole keynote for me.- How customers are actually using Rovo. Not the marketing version. The real version. What's working, what's surprising, where the patterns are forming.- The shifts that matter. Tamar has lived through search becoming the default interface, then SaaS becoming the default workplace, then chat-based collaboration becoming the default for distributed teams. I asked what excites her most about this moment. Her answer wasn't what I expected.- The next 5 years. How teams will actually work differently. Not predictions. Patterns she's already seeing inside Atlassian's own teams.The throughline across everything she shared: context is the moat. Models will keep getting better and cheaper. What separates the winners is what your AI knows about how your company actually works.Big thank you to Tamar for the time and the candor, and for being so generous with her thinking every time we connect. And to the Atlassian team for hosting me at Team '26.#data #ai #atlassian #team26 #theravitshow

In this Karma School of Business crossover episode, Sean Mooney is joined by Lloyd Metz, Managing Partner of ICV Partners; Doug McCormick, Managing Partner of Oridian Capital Partners; James Aylward, Chief Product and Technology Officer at BluWave; and Nathan Plummer, Co-Executive Director of Venture Café Global Institute. The group explains how AI moved from long-running concept to practical business tool, and what that means for private equity firms and portfolio company leaders right now. They cover agentic AI, data readiness, applied AI use cases, internal tooling, security concerns, and the leadership challenge of getting teams to adopt new ways of working. This is a practical conversation for business builders who want to move past AI hype and start creating real value—hit play. Episode Highlights 2:13 - James Aylward's path from Fidelity's AI incubator to BluWave's technology strategy 5:08 - Nathan Plummer on Venture Café's role in connecting startups, investors, and innovators 9:17 - Why ChatGPT marked a "Gutenberg moment" after decades of slower AI progress 13:10 - AI shifts from autocomplete and thought partnership to writing major chunks of code 18:06 - Applied AI moves beyond efficiency into biotech, robotics, imaging, and new product creation 23:28 - Why proprietary data may become the real moat for private equity-backed companies 35:42 - AI literacy, adoption, and the leadership work required to make tools stick 44:05 - BluWave's internal AI tool shows how company data can power faster decisions For information on Oridian Capital Partners, go to https://oridiancapital.com/ For information on ICV Partners, go to https://www.icvpartners.com For information on BluWave, go to https://www.bluwave.net

What does it take to turn a struggling edtech platform into a mission-driven product powerhouse — in under a year? Vidya Dinamani and Heather Samarin sit down with Jared Harless, Chief Product and Technology Officer at BookNook, as he talks about his early days bootstrapping digital products inside a billion-dollar publishing company, to leading a turnaround that grew revenue 25% year over year and pulled customer retention from 27% to 70%...but the work is far from over. Jared gets real about the kind of conviction it takes to build before you have permission — and how going straight to the market before writing a line of code is still the most powerful move a product leader can make.

Zach Wood, Chief Product and Strategy Officer at Artera, and Meg Jackson, Director of IT for Beauregard Health Systems, join to discuss patient engagement in a rural healthcare setting that previously relied on minimal patient communication, relying on phone calls. The introduction of two-way texting has increased patient engagement, streamlined appointment scheduling, and improved medication adherence.  In communities with fewer landlines and limited broadband and computers, this secure texting solution is easy to use and available on patients' mobile devices for convenient access and an effective way to supplement in person care. Zach explains, "Artera works with a very broad set of provider organizations, ranging from specialty clinics to health systems to even federal agencies. We have about a thousand customers that we serve and have organizations like Beauregard that partner with us very closely in rural environments."   Meg elaborates, "We may have had some phone calls going out to patients before Artera, but no text reminder. So this was a brand new world for us. We wanted to bring more to the text message, to the patient on their personal devices. We live in a rural area, so maybe broadband is less accessible in our area. So we were trying to bring something to their devices for the patient." "Well, everyone today has a cell phone. Not everyone has a computer. A lot of people don't even have home phones anymore. So we wanted to get that as a text message to the patient, where they could just respond to it. The beauty of Artera, which first drew me to Artera, was the two-way communication. The patient can initiate the conversation without ever having been a patient here before. They can text the main number of our facility and start a conversation, and we can even have different rules set up on the Artera side, where it could trigger a certain conversation based on the patient's keywords. So that really empowers us to make it more customizable for our patient communication." #Artera #BeauregardHealthSystem #DrFirst #EmpoweredPatient #MedicationAdherence #HealthEquity #RuralHealth #HealthcareInnovation #PatientEngagement #DigitalHealth #RuralHealth #PatientExperience #HealthIT #SecureMessaging Artera.io Beauregard.org Download the transcript here

Zach Wood, Chief Product and Strategy Officer at Artera, and Meg Jackson, Director of IT for Beauregard Health Systems, join to discuss patient engagement in a rural healthcare setting that previously relied on minimal patient communication, relying on phone calls. The introduction of two-way texting has increased patient engagement, streamlined appointment scheduling, and improved medication adherence.  In communities with fewer landlines and limited broadband and computers, this secure texting solution is easy to use and available on patients' mobile devices for convenient access and an effective way to supplement in person care. Zach explains, "Artera works with a very broad set of provider organizations, ranging from specialty clinics to health systems to even federal agencies. We have about a thousand customers that we serve and have organizations like Beauregard that partner with us very closely in rural environments."   Meg elaborates, "We may have had some phone calls going out to patients before Artera, but no text reminder. So this was a brand new world for us. We wanted to bring more to the text message, to the patient on their personal devices. We live in a rural area, so maybe broadband is less accessible in our area. So we were trying to bring something to their devices for the patient." "Well, everyone today has a cell phone. Not everyone has a computer. A lot of people don't even have home phones anymore. So we wanted to get that as a text message to the patient, where they could just respond to it. The beauty of Artera, which first drew me to Artera, was the two-way communication. The patient can initiate the conversation without ever having been a patient here before. They can text the main number of our facility and start a conversation, and we can even have different rules set up on the Artera side, where it could trigger a certain conversation based on the patient's keywords. So that really empowers us to make it more customizable for our patient communication." #Artera #BeauregardHealthSystem #DrFirst #EmpoweredPatient #MedicationAdherence #HealthEquity #RuralHealth #HealthcareInnovation #PatientEngagement #DigitalHealth #RuralHealth #PatientExperience #HealthIT #SecureMessaging Artera.io Beauregard.org Listen to the podcast here

Recorded in partnership with LHV Bank on their booth at Money20/20 Europe in Amsterdam, this episode explores the technologies, regulatory shifts and business models reshaping financial services across the continent. Russell Goldsmith is joined by six industry leaders: 1/ Macs Dickinson, Director of Engineering, LHV Bank 2/ Paul Scholten, Chief Executive Officer, Buckaroo 3/ Eline Blomme, Chief Product and Marketing Officer, Acquired 4/ Scott Dawson, Director & CEO, DECTA UK 5/ Chris Corbett, Product Lead, Plaid 6/ Alexander de Ràfols, Head of Europe Product, Affirm Together, they share practical, real‑world insights from the rise of stablecoins and instant cross‑border payments to the impact of agentic AI, rebundling, and the next wave of open finance innovation. A fast‑moving, insight‑packed episode capturing the themes dominating Money20/20 Europe, from rewired infrastructure to the new competitive dynamics between banks, fintechs and platforms.

Forget everything you know about portable PC gaming! I sit down with Whitson Gordon, ASUS's head of content for ROG and senior manager of marketing content, to learn about the just-unveiled ASUS ROG Xbox Ally X20 bundle, which includes glasses that simulate a massive 171-inch display! I'm one of the first to test-drive the technology in TaipeiLove Tubi Of course you do. We unpack the origin story of this mega-popular video platform, why it's as popular as it is and what's coming next. I interview Mike Bidgoli, Chief Product & Technology Officer at TubiI'll also play an interview recorded at AWS re:Invent about ‘Sign Speak.' which provides AI-powered American Sign Language (ASL) tools to enhance communication between Deaf/Hard of Hearing and hearing individuals — built by the community, for the community. I chat with CEO Yami PayanoThank you to Visa, Norton, and SanDisk for your incredible support. Get a huge discount on Norton anti-malware at norton.com/techitout

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.

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!

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.

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

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

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

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!

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?

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