Podcasts about technology officer

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   

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.

This episode is about authentic leadership, self-awareness, and the quiet ways competition undermines collaboration in the workplace. Traci sits down with Archana Mohan, Chief Operations and Technology Officer in the finance sector and author of The Thru Line: How Understanding Who You Are Empowers How You Lead.Archana holds a BA from Brown, an MA from Columbia, and an MBA from Yale, but her most formative credential might be what she's carried from classrooms and boardrooms alike: the experience of not quite feeling like she belonged, and choosing to build something different because of it.What We Cover:Why authentic leadership starts from the inside, not from a titleThe two types of self-awareness and why most leaders only develop one of themListening as the most undervalued skill in the workplaceHow school conditioned us to chase the right answer instead of ask better questionsWhy group impact is exponential, not just additiveWhat collaboration actually looks like versus what leaders often mistake for itThe key difference between competing with someone and competing against themWhy not having the answer is just as valuable as having oneHow creating space for others to be seen fully changes what a team can achieveConnect with Archana Mohan: Archanamo.net | LinkedIn | The Thru Line: How Understanding Who You Are Empowers How You Lead.Connect with Traci here: https://linktr.ee/HRTraciDisclaimer: Thoughts, opinions, and statements made on this podcast are not a reflection of the thoughts, opinions, and statements of the Company by whom Traci Chernoff is actively employed.Please note that this episode may contain paid endorsements and advertisements for products or services. Individuals on the show may have a direct or indirect financial interest in products or services referred to in this episode.

Lloyd Metz (Partner, ICV Partners), Doug McCormick (Managing Partner, Oridian Capital Partners), and Sean Mooney (Founder & CEO, BluWave) are joined by James Aylward (Chief Product & Technology Officer, BluWave) and Nathan Plummer (Co-Executive Director, Venture Café Global Institute) to translate AI from concept into execution. The conversation moves beyond buzzwords to where firms are actually applying AI today—from coding and data strategy to real-time decision-making inside portfolio companies. They also address the practical barriers: data readiness, organizational adoption, and the risk of standing still. This is a clear look at what it takes to put AI to work in private equity—hit play.Episode Highlights1:30 - Why AI is shifting from buzzword to practical tool for operators9:45 - ChatGPT as the inflection point that changed AI adoption overnight13:00 - AI moves from “thinking partner” to executing tasks autonomously18:30 - Applied AI in industries like biotech and robotics reshaping outcomes23:10 - Data becomes the primary competitive moat across portfolio companies30:15 - Why most companies struggle: fragmented, unstructured data systems44:00 - Real-world example: automating hiring workflows with AI toolsFor more information on the podcast, visit bestbutneverfinal.buzzsprout.com and embark on your journey to private equity excellence today.Visit us on LinkedIn at https://www.linkedin.com/company/best-but-never-final-podcast/Visit us on Instagram at https://www.instagram.com/bestbutneverfinal/For information on Oridian Capital Partners, go to https://oridiancapital.com/For information on ICV Partners, go to https://www.icvpartners.comFor information on BluWave, go to https://www.bluwave.net

In the final episode recorded at the Retail Technology Show, and the second produced in partnership with TNS, we explore the technologies, operational models and customer‑centric strategies shaping the next era of connected retail. Host Graham Barrett speaks with leaders from payments, grocery, beauty, fashion and retail innovation to understand how real‑time data, automation and agentic AI are transforming store operations and customer experience. His guests were: 1/ Jon Cole, Director of Product and Technical Solutions, TNS 2/ Rob Smith, Technology Officer, East of England Co‑op 3/ Sarah Boyd, Managing Director, Sephora UK 4/ Jeannette Copeland, Board Member & Technology & Supply Chain Director, Ann Summers 5/ Simon Spencelayh, Managing Director eCommerce, Robert Dyas 6/ Mitchell Vergeer, Head of Retail, Axel Arigato Jon Cole, Director of Product & Technical Solutions at TNS, returns to discuss why real‑time visibility across payments, devices and acquirer performance is now mission‑critical. Jon explains how TNS' single‑pane‑of‑glass monitoring helps retailers avoid outages, protect revenue and maintain customer trust, and why agentic commerce will soon reshape how consumers shop, negotiate and transact across categories from golf clubs to airline tickets. Rob Smith, Technology Officer at East of England Co‑op, shares how digitising the shelf edge and applying intelligent markdowns has boosted sell‑through, reduced waste and protected margin. Rob highlights how freeing colleagues from manual tasks creates more meaningful customer interactions, and why connected retail depends on accurate, real‑time data to build trust, consistency and better availability. Sarah Boyd, Managing Director of Sephora UK, reflects on why a hyper‑local, community‑driven approach has been central to its success. Sarah discusses Sephora's unique store openings, the balance between global brands and emerging labels, and how the business blends personalisation, social listening and human connection. Jeannette Copeland, Board Member & Technology and Supply Chain Director at Ann Summers, explores how the retailer is moving from complexity to composability. She explains why simplifying architecture, modernising legacy systems and adopting modular platforms is essential for agility, innovation and delivering consistent omnichannel experiences. Simon Spencelayh, Managing Diretor, ecommerce at Robert Dyas, brings a data‑science perspective, discussing how retailers can use AI‑driven decisioning to optimise availability, reduce waste and improve store execution. Simon highlights the shift from reactive processes to predictive, insight‑led retailing. Mitchell Vergeer, Headof Retail at Axel Arigato, closes the episode with a view on the future store, from real‑time analytics and intelligent shelves to AI‑powered forecasting and agentic workflows. Mitchell outlines how retailers can build the foundations for connected retail and why the next wave of innovation will blend automation with human‑centric design. A wide‑ranging, insight‑packed finale capturing the realities of modern retail, where resilience, transparency, personalisation and intelligent automation must all work together to deliver the connected store of the future.

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

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

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

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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

What does it take to turn a portfolio of legacy retail brands into a scalable technology platform? In this episode of Technovation, Kumar “Kartik” Kartikeya, SVP and Chief Digital and Technology Officer at Catalyst Brands, shares how he is building a shared operating model across data, AI, and customer experience to unlock enterprise value at scale. Leading technology for a $9B multi-brand retail ecosystem, Kartikeya explains how selective centralization enables faster innovation while preserving brand identity. Key insights include: How shared data and AI capabilities drive cross-brand scale Why “one plus one must equal three” in platform strategy The role of Consumer 360 in personalization and growth How AI is improving both employee productivity and customer experience Why CSAT is the most important KPI

Most people know Pandora for its iconic charms, but far fewer realize the company is the largest jewelry brand in the world by volume — producing more than 100 million pieces a year.In this episode of Retail Remix, host Nicole Silberstein speaks with David Walmsley, Chief Digital and Technology Officer at Pandora, about how the brand is modernizing its business without losing sight of what it really sells: memory, connection and emotion. David shares how Pandora's Program Phoenix transformation has helped turn around the business, why the company is investing heavily in digital and omnichannel infrastructure, and where AI is starting to unlock value across service, selling, forecasting and product design.Key TakeawaysWhy the company focused first on building stronger digital channels and stabilizing store tech before chasing bigger transformation bets; How Pandora is using AI in customer service today, and what the agentic future holds for the company;Why jewelry creates a more emotionally complex AI selling challenge than more functional categories; Where AI may have the biggest long-term impact at Pandora: design, service and operational automation; Why omnichannel success depends on brands — not customers — being the “glue” across digital and physical touchpoints; andHow to avoid the tech pitfall of “platformitis.”Related LinksExplore Pandora's jewelry collections and gifting experienceRelated reading: How Data and Tech Power Jewelry Brand Pandora's Mission to ‘Give a Voice to People's Loves'Get more retail industry insights from Retail TouchPointsSubscribe and catch up on all episodes of Retail Remix

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

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.

Vineet Bansal, Chief Information and Technology Officer at The Mutual Group, joins hosts James Benham and Rob Galbraith to explore how technology leadership, disciplined AI adoption, and a shared operating model are shaping the future of mutual insurance — from inside a two-year-old, Bain Capital-backed startup built to help community-based carriers compete and grow.Vineet brings over 20 years of financial services and insurance technology experience to the role — from engineering roots in Nagpur, India, to nearly two decades at Fidelity Investments across ten different business lines, to building a greenfield digital platform as CTO at IptiQ by Swiss Re. Now at The Mutual Group, he's architecting a shared technology and operations platform designed to scale across multiple member companies — starting with GuideOne Insurance in Des Moines, Iowa.In this episode:Why insurance is a deliberately risk-managed industry — and what that means for responsible AI adoptionHow The Mutual Group is building a multi-tenant platform to help smaller mutual carriers access enterprise-level capabilitiesWhy clean data, API-driven ecosystems, and strong governance are the real foundation for AI success — not the tools themselvesWhat it means to hold the combined CIO and CTO role — and how Vineet divides his focus across operations, applications, strategy, and multi-member platformThe shift toward hyper-personalized insurance: policies sold by the hour, by the day, or only when the risk event is happeningKey Quotes:"The winners will be the ones with the strongest foundation.""Insurance sits at the intersection of risk, regulation, economics, and human behavior.""AI won't solve your data issues. It's garbage in, garbage out.""There's no easy answer. It takes meticulous planning and thoughtful execution.""We may have insurance products sold by the hour, by the day."

What if claims processing could be 10x faster without sacrificing accuracy? In this episode of Technovation, Pravina Ladva, Group Chief Digital and Technology Officer at Swiss Re, shares how one of the world's leading reinsurers is using AI to transform claims processing, unlock insights, and redefine how work gets done across the enterprise. Key highlights include: How AI is reducing claims processing time from ~40 days to 4–5 days Why data ingestion is the biggest unlock for AI in insurance The importance of building “AI-ready” data foundations How Swiss Re achieved ~60% enterprise AI adoption Why AI transformation is more about people and process than technology

As conflict in the Persian Gulf threatens global oil supplies and artificial intelligence drives unprecedented demand for electricity, Texas is in a race to unlock the full potential of its diverse and deregulated grid. The path it chooses may arguably shape the U.S. economy and global energy markets.  In this third episode of our series on Texas water, energy, and growth, host Duke Reiter is joined by UT Austin professor, author, and global energy consultant, Dr. Michael E. Webber and president of the Texas Nuclear Alliance, Reed Clay to discuss:  How the U.S.-Israel-Iran war has sent the world reaching for U.S. oil and natural gas and what this means for TexasHow Texas came to lead the nation in renewable energy generation in the years following Winter Storm Uri, despite the rhetoric What makes Texas a leading contender in the U.S. for a nuclear energy renaissanceWhy surging AI-driven energy demand could accelerate the clean energy transition, not slow it down  Relevant Articles and Resources  “US LNG exports break record high as Middle East war disrupts global supply” (Reuters, April 2026)  “A Texas City Faces Water Crisis as Big Oil and Gas Use Most of It” (Truthout, March 2026)  “Is the US headed toward an electricity crisis of its own making?” (Canary Media, January 2026)  “Texas' power grid weathered another winter storm. Is it ready for the future?” (Texas Tribune, January 2026)  “Trump, atoms, AI and the Texas data center gusher” (Politico, January 2026)  “New U.S. nuclear power boom begins with old, still-unresolved problem: What to do with radioactive waste” (CNBC, November 2025)  “Texas renewable energy grid defies Trump's claims on solar and wind” (Power Technology, July 2025)  The Timeline and Events of the February 2021 Texas Electric Grid Blackouts (University of Texas at Austin)  Final Report on February 2021 Freeze Underscores Winterization Recommendations (Federal Energy Regulatory Commission)  Relevant Ten Across Conversations Podcasts  Part One: Can Texas Drought-Proof Its Economic Miracle?  Part Two: Does Texas Have the Water to Support an AI Boom?  Credits Host: Duke ReiterWriter and producer: Taylor GriffithEditor: Kate CarefootResearch and support provided by: Rae Ulrich, Kelly Saunders, Maya Chari, and Sabine Butler  About our guestsReed Clay is president of the Texas Nuclear Alliance. Prior to that, Reed was the Chief Operating Officer of Texas under Governor Greg Abbott and the founder of the government affairs consulting firm Crestline Group. He is also an experienced litigator and founding partner of Clay Scott LLP, with prior experience in the U.S. Department of Justice and Texas Attorney General's Office.  Dr. Michael E. Webber is the Sid Richardson Chair in the LBJ School of Public Affairs and the Cockrell Family Chair #16 in the department of mechanical engineering at the University of Texas at Austin. Prior to that, Michael served as CTO of Energy Impact Partners and Chief Science and Technology Officer at ENGIE, a global energy company. Michael has authored or co-authored more than 600 publications, including the book “Power Trip: the Story of Energy” and “Thirst for Power: Energy, Water, and Human Survival,” both of which, were developed into award-winning documentaries.

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/

We present a Special Episode of SmarterMarkets™, bringing you exclusive interviews from S&P Global's CERAWeek 2026. SmarterMarkets™ was in Houston last week for CERAWeek to partner with S&P Global. We sat down with participants at the energy industry's most influential annual conference. The theme for this year's conference was Convergence and Competition: Energy, Technology, and Geopolitics – and the implications of the conflict in Iran were on everyone's mind. We've compiled a selection of those interviews into this Special Episode of SmarterMarkets™. If you would like to listen to the full interviews, they are available on the SmarterMarkets™ Presents media portal. They're also available on our second podcast channel, SmarterMarkets™ Presents. Our guests are: Arjun Murti – Partner at Veriten & Publisher of "Super-Spiked" on Substack Susan Sakmar – Visiting Professor at University of Houston Law Center & Board Member of Flex LNG Jeff Currie – Chief Strategy Officer of Energy Pathways, Carlyle Radhika Krishnan – Chief Product and Technology Officer, Quorum Software Michael Greenstone – Director, Energy Policy Institute at the University of Chicago (EPIC) David Keith – Founding Faculty Director, Climate Systems Engineering Initiative, University of Chicago

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

In this episode, Kate Webber, Chief Solutions & Technology Officer at the PRI, is joined by Aniket Shah, Managing Director at Jefferies, to examine the core purpose of responsible investing and what it truly means in practice.Together, they explore whether the industry has lost sight of its original mission, how investors should think about real-world risks and opportunities, and why long-term thinking remains central to delivering value for beneficiaries.OverviewResponsible investing has evolved significantly over the past two decades, but questions remain around its core purpose. Is it about solving global challenges, or simply about making better investment decisions?This episode reframes responsible investing as fundamentally about improving returns by incorporating factors often overlooked in traditional analysis, particularly externalities and intangible assets.The discussion also highlights the importance of grounding investment decisions in the realities of the real economy, rather than abstract frameworks or idealised outcomes.Detailed coverageRe-centering the purpose of responsible investingAniket argues that responsible investing is, at its core, about enhancing risk-adjusted returns. While impact and broader societal goals matter, the mainstream role of investors is to make better decisions by incorporating a wider set of financially relevant factors.Externalities and intangiblesThe conversation explores how climate change and other externalities are increasingly being priced into markets, alongside intangible factors such as governance and human capital. These elements, while harder to measure, are critical drivers of long-term performance.The real economy and long-term valueInvestors are encouraged to look beyond financial markets and consider how businesses operate in the real world. Understanding how technologies, energy systems and structural shifts evolve over time is key to identifying long-term opportunities.Avoiding dogma and embracing nuanceA key theme is the need for investors to stay informed, avoid overly simplistic frameworks, and continually reassess their assumptions. Engaging with opposing viewpoints is highlighted as a valuable way to strengthen decision-making.Rethinking KPIs and performance metricsRather than focusing solely on traditional ESG metrics, the episode emphasises the importance of human capital - including employee engagement, retention and culture - as leading indicators of resilience and performance.The role of investors todayUltimately, investors' responsibility is to deliver for their beneficiaries. By incorporating long-term risks and opportunities into their analysis, they can contribute to a more resilient and forward-looking financial system.To learn more, see our Investment case database here:  https://public.unpri.org/investment-tools/investment-case-databaseChapters00:00 – Introduction and guest overview01:45 – What is the true purpose of responsible investing?03:30 – Externalities, intangibles and investment decision-making06:30 – Real economy shifts and long-term investing10:45 – How fiduciaries should approach complex risks15:00 – Avoiding dogma and improving decision-making18:30 – The value of debate and diverse perspectives20:45 – Rethinking KPIs: human capital and culture24:30 – Linking performance to long-term resilience26:30 – Final reflections: the responsibility of investorsDisclaimerThis podcast and material referenced herein is provided for information only. It is not intended to be investment, legal, tax or other advice, nor is it intended to be relied upon in making an investment or other decision. PRI Association is not responsible for any decision made or action taken based on information on this podcast. Listeners retain sole discretion over whether and how to use the information contained herein. PRI Association is not responsible for and does not endorse third parties featured on in this podcast or any third-party comments, content or other resources that may be included or referenced herein. Unless otherwise stated, podcast content does not necessarily represent the views of signatories to the Principles for Responsible Investment. All information is provided “as is” with no guarantee of completeness, accuracy or timeliness, or of the results obtained from the use of this information, and without warranty of any kind, expressed or implied. PRI Association is committed to compliance with all applicable laws. Copyright © PRI Association 2025. All rights reserved. This content may not be reproduced, or used for any other purpose, without the prior written consent of PRI Association.

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

In this episode, Simon Nazarian, Executive Vice President and Chief Digital and Technology Officer & Nasim Eftekhari, Chief AI and Analytics Officer, City of Hope, discuss building the infrastructure, governance, and culture needed to scale AI responsibly across a complex health system. They explore AI literacy, agent orchestration, and how technology can expand patient access while supporting clinicians and improving care delivery.

In this episode, Simon Nazarian, Executive Vice President and Chief Digital and Technology Officer & Nasim Eftekhari, Chief AI and Analytics Officer, City of Hope, discuss building the infrastructure, governance, and culture needed to scale AI responsibly across a complex health system. They explore AI literacy, agent orchestration, and how technology can expand patient access while supporting clinicians and improving care delivery.

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

Discover how enterprise AI and data strategy are operationalized at scale in one of the most highly regulated industries in the world. Louis DiModugno, Global Chief Data Officer at Verisk, shares how he builds AI-ready data foundations across 40+ petabytes of insurance and risk data, and the best practices behind embedding AI into enterprise products. He discusses unstructured data, deepfakes, and the shift from governance to observability, offering practical insights for data leaders scaling AI responsibly. Key Moments: From Military Leadership to Chief Data Officer: Data Integrity as a Competitive Advantage (03:02): Louis shares how his experience as a U.S. Air Force Colonel has shaped his approach to data governance, data quality, and enterprise AI leadership. He explains why integrity, service, and operational excellence are essential foundations for modern CDOs building trusted, decision-ready data environments. Building AI-Ready Data Foundations at a 40+ Petabyte Scale (17:13): Managing more than 40 petabytes of insurance and risk data, Louis breaks down how Verisk transforms complex, multi-source data into AI-ready infrastructure. From entity resolution and master data management to benchmarking and predictive analytics, he outlines what it takes to prepare enterprise data for AI and advanced analytics at scale. Designing an AI-First Data Strategy for Enterprise Decision Intelligence (20:00): Louis breaks down how Verisk evolved toward an AI-first data strategy across more than 150 insurance and analytics products. Rather than treating AI as an add-on, he explains how embedding AI into core workflows enables smarter underwriting, pricing, regulatory reporting, and risk management. He also discusses the strategic role ThoughtSpot plays in delivering natural language search, embedded analytics, and scalable AI-driven decision making. AI Fraud, Deepfakes, and Risk Management in Financial Services (26:11): As AI-generated images and synthetic claims become more sophisticated, Louis discusses how the insurance industry is combating deepfake fraud and AI-driven manipulation. He shares best practices around AI risk management, vendor partnerships, and regulatory collaboration to protect policyholders and maintain trust. Unstructured Data and AI: Why Governance Still Matters (29:28): Louis explores how expanding beyond structured data is reshaping enterprise AI. He explains why incorporating unstructured data into vector databases, graph models, and knowledge systems can significantly improve model accuracy and decision confidence. At the same time, he emphasizes that stronger governance (or observability as he reframes it) is essential as organizations scale AI across regulated industries. Key Quotes: “The more data that you bring to the equation, the more elements that you have in the algorithm, the higher level of accuracy you should be able to reach with your outcomes.” - Louis DiModugno “I've tried to move away from using the word governance as much as I like to use the word observability, because I really think observability shows more aspects of what it is that we are doing with the data.” - Louis DiModugno “The underlying aspect of what ThoughtSpot's delivering to them is our insights that not only give them their answer, but also give them insights that maybe they weren't looking specifically for. One of the big benefits of ThoughtSpot is that it's trying to anticipate what you're asking for.” - Louis DiModugno “We've partnered with ThoughtSpot, which brings AI embedded within its product. By having our data available through the data sets that we populate through the ThoughtSpot products, we've got the opportunity to utilize Spotter and the natural language processing capabilities to interact with the data, so that you can ‘talk with your data'.” - Louis DiModugno Mentions From Months to Weeks: How Verisk Scaled Embedded Analytics Breaking Down Digital Media Fraud for Claims in the AI Era Randy Bean's 2026 AI & Data Leadership Executive Benchmark Survey Guest Bio  Louis DiModugno brings more than 20 years of career experience in data and analytics to his new role. He has held several leadership positions in insurance and (re)insurance at firms including The Hartford and AXA US, where he served as the company's inaugural Chief Data & Analytics Officer. Most recently, DiModugno pioneered the role of Chief Data and Technology Officer for Hartford Steam Boiler. Before entering the private sector, DiModugno served with distinction as a Colonel in the U.S. Air Force and Air Force Reserves. He has held teaching positions at Rensselaer Polytechnic Institute, and he currently serves on the Chief Data Officer Advisory Council for the George Mason University School of Business. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

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

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

What happens when you put revenue and technology under one executive leader? In this episode of Technovation, Peter High speaks with Drew Pinto, Executive Vice President and Chief Revenue and Technology Officer at Marriott International, a $26 billion hospitality leader approaching its 100-year anniversary. Pinto shares how Marriott is transforming technology from a support function into a strategic growth engine — tightly integrated with capital allocation, AI experimentation, and commercial outcomes. Key highlights include: Why Marriott merged revenue and IT under a single executive mandate How disciplined capital allocation is shaping AI investments The shift from “tech for tech's sake” to measurable business impact Why most “technology problems” are actually data problems How a new product operating model is breaking down silos 🎧 Listen to learn how modern CIOs can align IT strategy directly to top-line growth.

In this episode, Kate Webber, Chief Solutions & Technology Officer at the PRI, is joined by Malea Figgins, Vice President at TCW, and David Klausner, ESG Specialist at PGIM Public & Private Fixed Income, to explore how responsible investment is being applied in securitised debt markets.Focusing on residential and commercial mortgage-backed securities (RMBS and CMBS), as well as emerging asset classes such as data centres, the discussion draws on insights from the PRI's Technical guide to Responsible Investment in securitised debt. Together, the guests unpack how environmental, social and governance risks and impacts are assessed in practice, where data gaps remain, and why securitised assets are central to financing the real economy.OverviewSecuritised debt is a core component of global fixed income markets, representing around US$14 trillion in outstanding issuance. By pooling underlying loans, such as home mortgages, commercial property loans or consumer credit, securitisation channels capital into housing, infrastructure and other real-economy assets.Despite its scale and relevance, securitised debt has historically been underrepresented in responsible investment discussions. This episode explains why environmental, social and governance considerations are not peripheral, but fundamental to credit analysis in this asset class, particularly given its exposure to consumers, real assets and climate risk.Detailed coverageWhy securitised debt matters for responsible investorsMalea and David explain how securitisation directly touches everyday assets, from homes and cars to student loans and commercial buildings. They argue that social risks such as predatory lending, affordability and loan servicing quality, alongside environmental risks like climate events and insurance availability, are core credit risks in these markets.Risk versus impactDavid outlines the importance of distinguishing between environmental, social & governance risk (financially material factors affecting credit quality) and impact (how investments affect society and the environment). The risks are integrated into bottom-up credit analysis across all portfolios, while impact overlays are applied where client mandates explicitly require them.Embedding sustainability in RMBS and CMBS analysisMalea discusses how sustainability considerations already align with credit fundamentals in many cases. In commercial real estate, green building certifications, energy efficiency and lower operating costs can support stronger net operating income and tenant stability. In residential markets, affordability metrics and borrower characteristics play a key role.Case study: data centres and climate riskThe episode explores the rapid growth of securitised data centre financing, driven by AI and digital infrastructure demand. David shares an example where climate-related insurance coverage and extreme weather risk directly influenced internal credit ratings, illustrating how environmental risks can be central, not secondary, to investment decisions.Private markets and improving data qualityBoth guests highlight how private asset-backed finance allows earlier engagement with issuers, creating opportunities to improve environmental and social data collection. Lessons from private markets may help drive better disclosure and transparency in public securitised markets over time.Labelled bonds and greenwashing risksMalea cautions that not all labelled securitised bonds are created equal. The discussion stresses the need for rigorous due diligence on use-of-proceeds and frameworks, with internal guardrails to avoid low-quality or misleading labelled issuance.Read more in the full technical guide on securitised debt: https://www.unpri.org/deep-dive?id=responsible-investment-in-securitised-debt-a-technical-guideChapters00:00 – Introduction to responsible investment in securitised debt02:40 – What securitised debt is and why it matters for investors06:10 – Why sustainability risks are core credit risks in securitised markets10:15 – Risk vs impact: a practical distinction for fixed income14:20 – Integrating sustainability into RMBS and CMBS analysis18:45 – Credit fundamentals and sustainability in commercial real estate23:30 – Case study: data centres, climate risk and insurance coverage30:10 – Private markets, early engagement and improving sustainability data36:05 – Labelled securitised bonds and avoiding greenwashing41:45 – Key takeaways for responsible investors in securitised debtDisclaimerThis podcast and material referenced herein is provided for information only. It is not intended to be investment, legal, tax or other advice, nor is it intended to be relied upon in making an investment or other decision. PRI Association is not responsible for any decision made or action taken based on information on this podcast. Listeners retain sole discretion over whether and how to use the information contained herein. PRI Association is not responsible for and does not endorse third parties featured on in this podcast or any third-party comments, content or other resources that may be included or referenced herein. Unless otherwise stated, podcast content does not necessarily represent the views of signatories to the Principles for Responsible Investment. All information is provided “as is” with no guarantee of completeness, accuracy or timeliness, or of the results obtained from the use of this information, and without warranty of any kind, expressed or implied. PRI Association is committed to compliance with all applicable laws. Copyright © PRI Association 2025. All rights reserved. This content may not be reproduced, or used for any other purpose, without the prior written consent of PRI Association.

In this episode, Tilak Mandadi, Executive Vice President of Ventures and Chief Experience and Technology Officer at CVS Health, shares how the company is investing in and building technology to simplify healthcare and drive better consumer engagement. He discusses CVS Health Ventures, interoperability, AI strategy, and the vision behind creating an open, consumer-centric platform that connects payers, providers, pharmacies, and patients.

In this episode, Tilak Mandadi, Executive Vice President of Ventures and Chief Experience and Technology Officer at CVS Health, shares how the company is investing in and building technology to simplify healthcare and drive better consumer engagement. He discusses CVS Health Ventures, interoperability, AI strategy, and the vision behind creating an open, consumer-centric platform that connects payers, providers, pharmacies, and patients.

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

In this episode, we're joined by Ben McAllister, the Chief Product and Technology Officer at CrossFit, and one of the most thoughtful product leaders I've had the pleasure of speaking with. Ben's path is anything but linear: with a degree in physics, a short stint in consulting, and time spent as a creative director at a design agency before moving into senior product roles at Under Armour. Now he's shaping one of the world's most iconic fitness ecosystems. In this episode, Ben shares: Why attention is the ultimate currency in product design, and how to design for the “spotlight” versus the periphery. The “Infovore” Advantage: Why the best product leaders borrow ideas from outside the tech world; and How to build a cohesive product strategy for a complex, decentralized network like CrossFit's global community of affiliates and athletes. Links LinkedIn: https://www.linkedin.com/in/mcallister/ X: https://x.com/benmcallister?lang=en CrossFit: https://www.crossfit.com/ Resources The Age of the Infovore: Succeeding in the Information Economy (https://tylercowen.com/dd-product/the-age-of-the-infovore-succeeding-in-the-information-economy/) On the Origin of Stories (https://www.hup.harvard.edu/books/9780674057111) Chapters 00:00: Introduction 00:41: Ben's non-linear career path: From physicist to product leader 03:23: The "infovore" mindset in product management 06:00: Storytelling, juxtaposition, and the science of learning 08:48: Designing product for attention 12:00: Why product leaders shouldn't ignore marketing 15:10: CrossFit's origins as an internet-native brand 19:44: What is the CrossFit Open? 24:37: Conclusion Follow LaunchPod on YouTube We have a new YouTube page! Watch full episodes of our interviews with PM leaders and subscribe! What does LogRocket do? LogRocket's Galileo AI watches user sessions for you and surfaces the technical and usability issues holding back your web and mobile apps. Understand where your users are struggling by trying it for free at LogRocket.com.

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?

Abrigo's Chief Product Technology Officer reveals how they're leveling the playing field for 2,400 community banks using AWS-powered AI to compete with billion-dollar financial institutions.Topics Include:Abrigo serves 2,400 community banks and credit unions across the USThey provide risk management, fraud detection, and digital loan origination solutionsConnect platform delivers data analytics for institutions with legacy systemsCommunity banks need instant digital experiences to compete with fintech upstartsCustomers expect Uber-like speed from application to cash within hoursThree technology waves transformed finance: iPhone, cloud computing, then AIChatGPT changed conversational experiences and knowledge search expectations in bankingAI enables instant policy search for new employee onboarding needsEvery minute saved from grunt work gets redeployed into customer relationshipsSimple borrower experiences work across all demographics from boomers to millennialsAbrigo embraced agentic AI early using AWS Bedrock and Agent CoreNew guardrails and evaluations accelerate deterministic workflow reimagination with agentsParticipants:Ravikumar Nemalikanti – Chief Product and Technology Officer, AbrigoSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

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

Dr. Patrick Soon-Shiong has been a pioneer, leading the way in cancer research. As the Founder,  Executive Chairman, Global Chief Medical & Technology Officer at ImmunityBio, Dr. Soon-Shiong is changing the paradigm in how to treat cancer. Our body needs a strong, healthy immune response to overcome cancer. Chemotherapy weakens the immune system significantly, essentially wiping out our body's best defense of cancer and tumors, the natural killer cell. The natural killer cells in our body destroy and kill cancer cells, without them, we are fighting a losing battle. Dr. Soon-Shiong's invention Anktiva, is a superagonist fusion complex that selectively activates Natural Killer (NK) cells and memory T cells enabling immune amplification rather than immune suppression. This treatment has shown long term success with over a million pages of data. This data is sitting in the hands of the FDA, but unfortunately our FDA has not reviewed it. Saudi Arabia on the other hand, has chosen longevity science and healthspan as a measure of GDP and has approved Anktiva for use in the country. This 30 minute outpatient procedure is now available in Saudi Arabia for patients dealing with cancer. Will the success of this treatment in Saudi Arabia convince the FDA to approve this treatment in America or will Americans be forced into medical tourism to treat cancer successfully and save lives? Featuring: Dr. Patrick Soon-Shiong Executive Chairman, Global Chief Medical & Technology Officer | ImmunityBio https://immunitybio.com/ My latest book Trump 2.0: The Revolution That Will Permanently Transform America is available for preorder, just click the link: https://a.co/d/67kKgje Today's show is sponsored by: Patriot Mobile Take a stand for faith, family, and freedom—switch to Patriot Mobile. Patriot Mobile provides PREMIUM service on all three major U.S. networks. Patriot Mobile is the same or even better coverage, backed by 100% U.S.-based customer support. Get unlimited data plans, mobile hotspots, international roaming, and more with Patriot Mobile. Take a stand as a PATRIOT by going to https://PatriotMobile.com/SPICER or call 972-PATRIOT for a FREE month! Joi + Blokes Are you dragging through your days with no energy, zero motivation and stubborn belly fat? That dad bod, brain fog, and lack of drive aren't character flaws—they're symptoms, usually tied to hormones. Joi + Blokes connects you with licensed clinicians that can tell you what's going on in your body and create a plan to fix it. TRT, peptide therapy, NAD+, enclomiphene—these are treatments that get to the root cause and help you feel stronger, sharper, and present. So, stop guessing and start getting answers. Head to http://joiandblokes.com/sean right now and use code sean for 50% OFF your labs and 20% OFF all supplements! ------------------------------------------------------------- 1️⃣ Subscribe and ring the bell for new videos: https://youtube.com/seanmspicer?sub_confirmation=1 2️⃣ Become a part of The Sean Spicer Show community: https://www.seanspicer.com/ 3️⃣ Listen to the full audio show on all platforms: Apple Podcasts: https://podcasts.apple.com/us/podcast/the-sean-spicer-show/id1701280578 Spotify: https://open.spotify.com/show/32od2cKHBAjhMBd9XntcUd iHeart: https://www.iheart.com/podcast/269-the-sean-spicer-show-120471641/ 4️⃣ Stay in touch with Sean on social media: Facebook: https://facebook.com/seanmspicer Twitter: https://twitter.com/seanspicer Instagram: https://instagram.com/seanmspicer/ 5️⃣ Follow The Sean Spicer Show on social media: Facebook: https://facebook.com/seanspicershow Twitter: https://twitter.com/seanspicershow Instagram: https://instagram.com/seanspicershow Learn more about your ad choices. Visit megaphone.fm/adchoices

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

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

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

In this episode, Simon Nazarian, Executive Vice President and Chief Digital and Technology Officer at City of Hope, joins the podcast to discuss how technology is reshaping patient outcomes and expanding access to care. He shares why health systems can't afford to stand still as AI drives new efficiencies, and where he sees the greatest opportunities for growth as digital transformation accelerates across healthcare.

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

Algorithms and automations have been buds for a decade plus.

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

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

Mahesh Guruswamy — Chief Product and Technology Officer at Kickstarter and author of How to Deliver Bad News and Get Away with It — sits down with Kwame Christian to reveal the emotional side of leadership no one talks about. Buy the Book: How to Deliver Bad News and Get Away with It: A Manager's Guide by Mahesh Guruswamy⁠ From earning $40,000 in his first tech job to leading global teams, Mahesh learned that success isn't about titles or wealth — it's about courage, gratitude, and making the right call even when it hurts. In this powerful conversation, you'll learn: Why the hardest decisions are often the right ones How to “roll the dice” and take bold career risks The secret to staying grounded in gratitude and perspective Why authenticity—not ambition—is the real mark of leadership If you've ever wondered why success can still feel empty, or why doing the right thing sometimes hurts the most — this episode will give you the clarity you've been looking for. Buy the Book: How to Deliver Bad News and Get Away with It: A Manager's Guide by Mahesh Guruswamy