Podcasts about technovation

What happens when a technology provider can see patterns across 244 million account holders and thousands of financial institutions? In this episode of Technovation, Peter High speaks with Keith Fulton, Chief Data Officer at Jack Henry, about how data science and AI are transforming community banking. Keith explains how Jack Henry is leveraging industry-scale data to help banks reduce fraud, predict customer churn, identify hidden revenue opportunities, and prepare for an agentic AI future. He also shares how the company is democratizing innovation through citizen development, AI adoption programs, and enterprise-grade governance for employee-built applications. Key Highlights: Building the data foundation required for agentic AI Using consortium-scale data to uncover insights individual banks cannot see Predicting customer churn and identifying hidden commercial customers Applying AI to fraud prevention and customer protection Scaling innovation through AI adoption and citizen development This episode is presented by Celonis — Give AI the context it needs. Learn more at celonis.com/technovation

As AI agents gain access to enterprise systems, identity security is becoming the control layer for responsible AI adoption. In this episode of Technovation, Peter High speaks with Sree Kancharla, CIO of SailPoint, about how identity governance is evolving from managing human access to securing machine identities, AI agents, and autonomous workflows. Sree discusses SailPoint’s role as “Customer Zero,” the growing challenge of shadow AI, the importance of governance that enables innovation, and how organizations can balance productivity gains with responsible risk management. He also shares his perspective on persona-based AI experiences, human-led agents, and the workforce implications of AI for the next generation of technology professionals. Key topics include: Why AI agents require a new approach to identity security How SailPoint manages shadow AI across the enterprise The role of Customer Zero in driving product innovation Moving from human-in-the-loop to human-led agents Preparing future technology talent in an AI-driven world This episode is presented by Celonis — Give AI the context it needs. Learn more at celonis.com/technovation

Cybersecurity leadership isn’t ultimately about technology, it’s about judgment, influence, and the ability to lead through uncertainty. In this episode of Technovation, Peter High speaks with Stephen Ward, cybersecurity executive, investor, and former security leader at several large enterprises. Stephen reflects on his unconventional journey from government service to corporate cybersecurity leadership and ultimately technology investing. Along the way, he shares lessons on building security organizations, navigating risk, developing executive influence, and preparing for a future increasingly shaped by AI. Key discussion topics include: The transition from cybersecurity operator to executive leader Building trust while transforming security organizations Lessons learned from leading large-scale security programs Why leadership skills matter as much as technical expertise The evolving relationship between AI and cybersecurity What separates enduring technology companies from the rest

How does a 177-year-old industrial company maintain startup speed while preparing for technologies that may not mature for another decade? In this episode of Technovation, Peter High speaks with Vishwanath Hegadekatte, Director of Innovation at Freudenberg Technology Innovation (FTI), about building an internal innovation engine designed to identify, test, and scale emerging technologies across a global manufacturing enterprise. Vishwanath explains how Freudenberg combines strategic foresight, AI-driven research, external partnerships, and startup-style experimentation to help its business units prepare for opportunities years before they become mainstream. The conversation explores humanoid robotics, agentic AI, advanced materials, and the organizational structures required to turn innovation into measurable business impact. This episode is presented by Celonis — Give AI the context it needs. Learn more at celonis.com/technovation

Most digital transformation stories begin with customer-facing technology. Chipotle’s began by redesigning operations. In this episode of Technovation, Peter High speaks with Curt Garner, President, Chief Strategy & Technology Officer at Chipotle Mexican Grill. Curt shares how Chipotle evolved from accepting fax orders in 2015 to operating a $5 billion digital commerce engine today. He explains why solving operational challenges before customer adoption proved critical to scaling digital growth and how cloud architecture, dedicated digital kitchens, rewards, personalization, and AI-enabled supply chain capabilities continue to drive innovation across the business. Key topics discussed include: Building a digital commerce platform capable of operating at web scale Scaling from 20% to 85% digital ordering during COVID Designing dedicated digital kitchens to eliminate fulfillment friction Using rewards and personalization to deepen customer engagement Applying AI to forecasting, inventory management, and supply chain operations Balancing technology innovation with human hospitality This episode is presented by Celonis — Give AI the context it needs. Learn more at celonis.com/technovation

Southwest Airlines has spent the last several years modernizing one of the most complex operational environments in the world. In this episode of Technovation, Lauren Woods, EVP and CIO of Southwest Airlines, shares how the company transformed a period of operational disruption into a catalyst for long-term technology modernization and resilience. Lauren discusses Southwest’s investments in modern data platforms, predictive analytics, cloud infrastructure, AI-enabled operations, cybersecurity, and customer experience transformation. She also explains the technology behind major commercial changes, including assigned seating, new fare structures, and evolving digital experiences. Key topics include: Building operational resilience through proactive analytics Creating the data foundation required for AI at scale Leveraging machine learning across airline operations Modernizing legacy systems while maintaining reliability Leading large-scale organizational and cultural transformation This episode is presented by Celonis — Give AI the context it needs. Learn more at celonis.com/technovation

How do you apply AI to one of the world’s most perishable supply chains? In this episode of Technovation, host Peter High speaks with Sankar Chinnathambi, CIO of Driscoll’s, the world’s largest berry company. With operations spanning more than 30 growing regions and products sold in approximately 60 countries, Driscoll’s faces a unique challenge: moving billions of berries from harvest to consumers while preserving freshness and quality. Sankar discusses how Driscoll’s is using AI, predictive analytics, and digital platforms to improve grower collaboration, supply forecasting, pricing optimization, and supply chain visibility. He also shares the company’s broader modernization strategy, including ERP transformation, BerryGPT, and technology initiatives designed to accelerate innovation while supporting growth, sustainability, and resilience. Key discussion topics include: Building an AI-powered digital agronomist Modernizing forecasting in a supply-constrained business Creating a global digital backbone with Oracle Fusion Using real-time monitoring to preserve product quality Accelerating agricultural innovation through technology This episode is presented by Celonis — Give AI the context it needs. Learn more at celonis.com

Technovation Girls France: comment cette association prépare les jeunes filles aux métiers du numérique et de l'IAÀ l'heure où moins de 20 % des étudiants en informatique en France sont des femmes, une association s'attaque à la racine du problème : convaincre les collégiennes et lycéennes que la tech est faite pour elles. Dans cet épisode de Digital Feeling, j'ai reçu Gaëlle Maurujon, vice-présidente de Technovation Girls France, pour tout comprendre de ce programme unique en son genre.Technovation Girls France, c'est quoi exactement ?Technovation Girls est une association internationale née en 2006 dans la Silicon Valley. Son objectif : initier les jeunes filles de 13 à 17 ans à l'entrepreneuriat technologique, à travers un programme de six mois intensif et entièrement gratuit.Le chapitre français a été cofondé par Gaëlle Maurugeon et plusieurs femmes engagées dans le numérique, unies par un même constat : malgré vingt ans de transformation digitale, les femmes restent massivement sous-représentées dans les métiers de la tech."Ça fait vingt ans que je suis dans le digital et ça ne change pas. Pourquoi on n'a pas plus de filles qui s'engagent dans ces formations ?"Gaëlle Maurugeon, vice-présidente Technovation Girls FranceLe chiffre qui fait mal : moins de 20 % de filles en informatiqueEn France, les femmes représentent moins de 20 % des étudiants en informatique. Un chiffre qui n'étonne pas celles qui évoluent dans le secteur depuis des années, mais qui méritait d'être documenté pour légitimer l'action associative.Ce déséquilibre ne se corrige pas seul. Il se creuse dès le collège, quand les stéréotypes de genre détournent les filles des matières scientifiques et des ambitions technologiques. C'est précisément là que Technovation Girls intervient.6 mois pour devenir une mini-entrepreneuse du numériqueLe programme Technovation Girls est conçu comme une immersion dans le monde réel de l'entrepreneuriat tech. Voici ce que vivent concrètement les participantes :1. Identifier un problème du quotidienLes jeunes filles partent d'une problématique qu'elles observent autour d'elles — dans leur école, leur quartier, leur famille. Elles sont encouragées à relier cette problématique aux 17 Objectifs de Développement Durable (ODD) de l'ONU, pour inscrire leur projet dans une vision d'impact global.2. Analyser le marché (comme des pros)Avant de se lancer, elles apprennent à valider leur hypothèse avec des données : chiffres, sondages, analyse de l'existant. Un réflexe d'entrepreneur que peu d'adultes maîtrisent vraiment.3. Développer une application mobile en no codeAu cœur du programme : la création d'une application mobile no code. Les participantes apprennent les bases du code, comprennent la logique algorithmique, et intègrent progressivement des briques d'intelligence artificielle dans leur application (chatbot, reconnaissance d'images, exploitation de données…).4. Interroger de vrais utilisateursPour s'assurer que leur solution répond à un vrai besoin, elles envoient des questionnaires à des utilisateurs potentiels. L'approche "user-centric" , centrale dans le développement produit professionnel — est inculquée dès le départ.5. Créer un plan marketing (ou un business plan)Les collégiennes élaborent une stratégie marketing pour faire adopter leur produit. Les lycéennes vont plus loin avec un Lean Business Canvas, le même outil utilisé par les startups en phase d'amorçage.6. Pitcher en publicPour conclure, chaque équipe réalise une vidéo de pitch et présente son projet à un jury. Les meilleures équipes peuvent aller jusqu'à pitcher en Californie, au niveau international.L'IA dans le programme : un usage raisonné et encadréTechnovation Girls ne se contente pas d'évoquer l'intelligence artificielle, elle l'intègre concrètement dans les pratiques des participantes. Dès le début du programme, elles sont sensibilisées à :Ce que l'IA peut apporter : gain de temps, génération de contenu, analyse de donnéesSes limites et risques : biais, hallucinations, nécessité de vérifier les sourcesDes usages guidés : prompts pour générer un questionnaire utilisateur, améliorer un pitch, réaliser une analyse de marchéL'enjeu est clair : former des utilisatrices critiques de l'IA, pas des consommatrices passives."On les sensibilise très vite aux limites. On veut qu'elles aient un usage raisonnable de l'IA."Gaëlle MaurugeonDes projets qui prouvent la maturité des participantesEn quatre ans, Technovation Girls France a vu émerger des projets d'une qualité et d'une pertinence remarquables :Une app pour faire des dons sécurisés aux sans-abri via mobileSophia, une application pour aider les jeunes à croiser les sources d'information et développer leur esprit critiqueDes outils d'entraide scolaire pour lutter contre le décrochage au collègeUne app sur l'alimentation de saison, pour consommer mieux et plus localCes projets ne sont pas anecdotiques. Certains anticipaient des sujets devenus aujourd'hui des priorités sociétales. La preuve que, bien accompagnées, les adolescentes peuvent produire des solutions à la hauteur des enjeux contemporains.Les mentors : un rôle clé, une expérience transformatriceChaque équipe de cinq filles est accompagnée par deux mentors bénévoles. Le rôle ne requiert pas d'être expert en tech : il s'agit avant tout d'accompagner un groupe, de créer de la cohésion, de faire émerger les idées.Les profils recherchés :Des personnes à l'aise en digital, design ou marketingOu à l'inverse, des profils business, entrepreneuriat, conseilEt surtout : des personnes qui croient à la cause et ont envie de transmettreLes retours des mentors sont unanimes : ils repartent autant enrichis que les participantes. Gestion des émotions, posture de coach, remise en perspective de leurs propres métiers, le mentorat Technovation Girls est une expérience à part entière.Le programme 2026-2027 se déroule de novembre 2026 à avril 2027. Les inscriptions sont ouvertes sur le site Technovation Girls France.Un programme 100 % en visio, accessible partout en FranceC'est un point souvent méconnu : tout le programme se déroule en visioconférence. Que vous habitiez Paris, Lyon ou une zone rurale, vos filles peuvent participer. L'association travaille activement à toucher des territoires moins connectés aux opportunités numériques, convaincue que la fracture géographique ne doit pas s'ajouter à la fracture de genre.Des partenaires engagés : Oracle, Shopify, Snowflake…Technovation Girls France s'est entourée de partenaires technologiques de premier plan, déjà impliqués en interne sur les sujets de mixité. Ces entreprises participent au jury, organisent des visites de leurs locaux, et intègrent leurs outils directement dans le programme (comme la plateforme data Snowflake).L'association est également présente sur des événements majeurs comme VivaTech et les France Digital Days, offrant aux participantes une immersion dans l'écosystème tech français.Pourquoi ce programme mérite votre attention Technovation Girls ne fait pas dans le symbole. Elle forme concrètement, sur six mois, des adolescentes à :✔ L'entrepreneuriat et la pensée produit✔ Le développement no code et les bases du code✔ L'usage raisonné de l'intelligence artificielle✔ Le marketing, le business plan, le pitch✔ La confiance en soi et le travail en équipeTout cela, gratuitement, par des bénévoles passionnés.Si vous avez une fille entre 13 et 17 ans, renseignez-vous sur le site Technovation Girls France.Si vous travaillez dans le numérique, devenez mentor pour la prochaine session.Si vous dirigez une entreprise tech, explorez un partenariat.

Healthcare accounts for nearly one-fifth of the U.S. economy, making it one of the most consequential sectors for AI-driven transformation. In this special Technovation summit panel moderated by Mike Bertha, Partner at Metis Strategy, Michael Pfeffer, Chief Information & Digital Officer at Stanford Health Care and Stanford School of Medicine, and Chad Wasserman, CIO of HCA Healthcare, explore how healthcare organizations are moving beyond digitization and toward clinical-grade AI. The discussion examines how AI is improving clinical decision-making, accelerating disease detection, enabling personalized medicine, and reshaping healthcare operations. The panelists also discuss responsible AI governance, the importance of connecting technologists to patient outcomes, and what it will take for AI to ultimately bend healthcare’s cost curve. Key topics include: Moving healthcare from digitized to truly digital Clinical-grade AI and personalized medicine Responsible AI governance and Stanford’s FURM framework Human-centered technology leadership Scaling innovation through operational excellence The future of healthcare delivery and AI-enabled care This episode is presented by Celonis — Give AI the context it needs. Learn more at celonis.com  

AI is changing more than software, it's redesigning how enterprises operate. In this episode of Technovation, Peter High speaks with Amir Kazmi, Chief Technology and Growth Officer at Ralliant, about how precision technology companies are embedding AI into operational workflows, industrial systems, and critical infrastructure. Amir explains how the Ralliant Business System (RBS) is evolving into an AI-native operating model designed to accelerate decision-making, reduce cycle times, and improve operational resilience at global scale. Key discussion topics include: Embedding AI into enterprise workflows and decision systems The role of precision sensing in electrification and grid reliability How Ralliant supports critical infrastructure across 90+ countries Balancing agility and governance in the AI era Why autonomous workflows may redefine enterprise operations

Enterprise AI is entering a new phase, one defined less by experimentation and more by measurable business value. In this summit panel episode of Technovation, Steven Norton speaks with Richard Jardim of CIBC, Sears Merritt of MassMutual, and Shekar Pannala of The Hartford about what it really takes to scale AI responsibly inside large, highly regulated enterprises. The discussion explores how leading organizations are rethinking software development, governance, operating models, and financial discipline as AI capabilities rapidly evolve. Key topics include: Moving from AI pilots to measurable P&L impact Reducing feature lead times through AI-enabled development Modernizing legacy systems with GenAI Building governance-by-design operating models Managing the shift to consumption-based AI economics

En esta oportunidad, recibimos en nuestra #LoncheraInformativa a parte de las chicas que forman parte de Technovation Girls 2026 y nos contaron que a lo largo de todo este proceso han creado algunos proyectos para apoyar a su comunidad de distintas maneras. Una de ellas, ha sido "IrisLand", una aplicación potenciada con Inteligencia Artificial cuyo objetivo es el de generar contenido educativo basado en el estilo de aprendizaje predominante del usuario.

Steve Jobs' greatest leadership lessons did not come during Apple's rise, they came during exile. In this episode of Technovation, Peter High speaks with award-winning journalist and author Geoffrey Cain about Steve Jobs in Exile, his new book examining the overlooked NeXT Computer years that transformed Jobs from a volatile founder into one of the most influential business leaders in history. Cain explores how failure, resilience, discipline, and leadership maturity shaped Jobs during a period widely misunderstood as a commercial detour. Key discussion points include: Why NeXT's failures became foundational to Apple's future success The leadership lessons Jobs learned through adversity How NeXTSTEP evolved into the backbone of modern Apple software Why visionary thinking alone is not enough to build enduring companies The role of trust, dissent, and elite talent in high-performing organizations

AI is quickly evolving from a productivity tool into a growth engine, and the organizations that can operationalize enterprise intelligence at scale will define the next era of competition. In this summit panel episode of Technovation, Peter High and Andrew Krusell speak with Steve Bronson, CIO of Southern Glazer's Wine & Spirits, and John Gigerich, SVP & CIO of Keurig Dr Pepper, about how leading enterprises are transforming data, AI, and machine learning into measurable revenue growth. Key topics include: Using AI-driven sales enablement to improve retail execution Building trusted enterprise data foundations for scalable AI Leveraging predictive intelligence to optimize ordering and inventory Aligning business and technology teams around growth outcomes Navigating acquisitions, organizational change, and AI governance at scale

AI productivity gains alone are no longer enough. The organizations creating real enterprise value are redesigning their operating models around data, decision advantage, and differentiated capability. In this episode of Technovation, we feature a panel from our most recent Metis Strategy Summit where Peter High moderated a conversation with Alexandra Guenther, SVP & CIO at Leidos, and Kelly Fletcher, CIO of the U.S. Department of State, about how enterprise leaders are rethinking AI strategy, cybersecurity, and organizational transformation during an era of continuous disruption. Key discussion points include: Why AI value must extend beyond productivity metrics How the State Department securely enables AI experimentation at scale The role of enterprise data foundations in successful AI adoption Using AI to improve cybersecurity visibility and decision advantage Leading organizations through the psychology of transformation

As telecom infrastructure becomes increasingly software-defined, technology leaders must rethink everything from engineering talent to AI operations and customer experience. In this episode of Technovation, Peter High speaks with Jake Perlman, Executive Vice President and Chief Technology and Information Officer at Charter Communications, about how one of the nation's largest connectivity providers is transforming its network into a software-driven platform. Jake shares how Charter is integrating AI, telemetry, predictive analytics, and edge infrastructure to improve operations at scale while enabling faster innovation across the business. Key highlights include: Why modern telecom networks increasingly resemble software platforms How AI is improving technician workflows and predictive operations Charter's approach to agile organizational design and engineering culture The strategic role of edge computing and distributed infrastructure Why continuous learning has become essential for technology leadership

AI isn't just a capability, it's an operating model shift. In this episode of Technovation, Peter High speaks with Ramana Thumu, CTO of Expedia Group, about how one of the world's largest travel platforms is embedding AI into the core of how it operates. From AI squads integrated into business units to enterprise-wide AI literacy, Ramana shares how Expedia is aligning culture, processes, and technology to scale AI impact. They also explore how Expedia is reinventing engineering through AI agents, building a data foundation to power personalization, and reimagining the traveler experience through agentic AI. Key highlights include: Embedding AI into business workflows through AI squads Driving 3–5x productivity gains with AI-native engineering Building trusted data assets to scale AI innovation Creating agentic experiences across the travel journey Managing rapid AI evolution with flexible platform architecture

Retail is no longer about transactions, it's about designing experiences that create joy. In this episode of Technovation, Peter High speaks with Prat Vemana, Chief Information and Product Officer at Target, about how one of the world's largest retailers is redefining customer experience across digital and physical channels. Prat shares how Target is embedding design into every layer of the organization, leveraging AI to power conversational commerce, and building a unified, multi-channel journey that blends convenience with inspiration. Key highlights include: Why Target views itself as “in the business of joy” How UX is evolving into an enterprise-wide capability The shift from search and browse to conversational discovery Building AI-ready data through semantic and contextual layers Deploying agentic AI to accelerate decision-making at scale

What if the biggest barrier to success in tech isn't access, but mindset? In this episode of Future of Work, Dr. Salvatrice Cummo talks with Tara Chklovski, founder and CEO of Technovation, about what it truly takes to thrive in an AI-driven world. Tara unpacks why resilience and adaptability are just as vital as technical skills, how simulation-based learning can reshape education, and why women are most at risk of being left behind. Together, they explore how community colleges, mentorship, and real-world problem-solving can unlock opportunity for all. The future of work isn't just about tech, it's about who's empowered to shape it. You'll learn:  Why AI literacy starts with confidence, not code, and how to build both. How educators can move beyond "toy problems" and toward real-world innovation. What emotional and cognitive resilience look like in a rapidly evolving workforce. How women are being left behind in fast-growing tech sectors, and how to fix it. Why simulation learning may be the most powerful classroom tool we're not using.  About the Guest: Tara Chklovski is the founder and CEO of Technovation, a global nonprofit dedicated to empowering girls and underserved communities through technology education. With a background in physics and aerospace engineering, she transitioned from academia to social entrepreneurship to address the gender and racial disparities in STEM fields. Tara has helped over 130,000 students across 100+ countries build confidence, tech skills, and purpose. Her work has been recognized by Forbes, the UN, and the White House, and she continues to lead global conversations on how education and innovation intersect to shape a more inclusive future of work.  Engage with us: LinkedIn, Instagram & Facebook: @PasadenaCityCollegeEWD Join our newsletter for more on this topic: ewdpulse.com Visit: PCC EWD website More from Tara Chklovski & Technovation Websites: https://www.technovation.org/ LinkedIn: @tarachk Partner with us! Contact our host, Salvatrice Cummo, directly: scummo@pasadena.edu Want to be a guest on the show? Click HERE to inquire about booking  Find the transcript of this episode here Please rate us and leave us your thoughts and comments on Apple Podcasts; we'd love to hear from you!

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

AI disruption is no longer a future scenario, it's already reshaping the workforce. In this episode of Technovation, Andrew Yang, Founder & CEO of Noble Mobile, author of Hey Yang, Where’s My Thousand Bucks? shares why job displacement is accelerating faster than leaders and policymakers can respond. A former presidential candidate and founder of the Forward Party, Yang has been warning about automation's impact for years. Now, he explains why those predictions are becoming reality, and what must change. Key highlights include: Why AI is already eliminating white-collar jobs The case for taxing AI instead of human labor How universal basic income could stabilize the economy Why policymakers continue to lag behind innovation Lessons from launching Noble Mobile to challenge incumbents

AI is becoming the missing layer that transforms agriculture from a physical practice into a data-driven system. In this episode of Technovation, Feroz Sheikh, Chief Information and Digital Officer of Syngenta, shares how AI, data, and digital platforms are reshaping how farmers make decisions and how innovation scales across global agriculture. Key highlights include: How AI completes the evolution of agriculture's “jigsaw puzzle” The role of interdisciplinary teams in driving innovation Real-world AI applications across R&D, supply chain, and farming Democratizing advanced science for farmers worldwide Using data at scale to predict and prevent crop disease

What does it take to modernize a 120-year-old real estate powerhouse without losing its entrepreneurial edge? In this episode of Technovation, Kamini Rangappan Lane, President and CEO of Coldwell Banker Realty, shares how she is transforming one of the largest residential real estate networks in the U.S. by standardizing the back end while preserving the human, local nature of the business. She discusses how AI and automation are reshaping agent workflows, enabling faster deal processing, and unlocking productivity across a network of 45,000 entrepreneurs. Key highlights include: Transitioning from 50 operating companies to a unified platform model Applying AI to reduce listing creation time from hours to minutes Balancing efficiency with personalization in a highly local business Driving technology adoption through customer obsession Redefining leadership through clarity, transparency, and authenticity

AI transformation doesn't fail because of technology, it fails because of culture. In this episode of Technovation, Peter High speaks with Trevor Schulze, CIO, and Eva Majercsik, Chief People Officer, of Genesys, about how they are jointly leading a human-centric AI transformation across a 6,000-person global organization. Together, they unpack why AI must be treated as a cultural shift and how organizations can drive adoption at scale. Key insights include: Why AI literacy is the foundation of enterprise adoption How CIOs and CPOs must co-own transformation The shift from automation to augmentation in the agentic era How experimentation unlocks innovation across the workforce Why change management is now a core leadership capability

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

Are you feeling stuck in your current role but not quite ready to hand in your resignation? Do you find yourself wondering whether the career you've built truly reflects what matters most to you? Are you curious about what it really looks like to build a career around your values, and how one woman did exactly that on a global scale?In this episode, I sit down with Tara Chklovski, founder of Technovation, to explore what it really looks like to build a career driven by purpose and impact. We cover how social norms shape the careers women feel able to pursue, why confidence is a skill that can be cultivated, and how aligning your work with your values can create a ripple effect far beyond your own life. Whether you're navigating a transition or simply craving more alignment, this episode will inspire you.Tara Chklovski, founder and CEO of Technovation, is reshaping opportunities for young women in technology. Inspired by her experiences growing up in India and working as an aerospace engineer, she developed a widely-adopted education model that combines mentorship, hands-on learning, and entrepreneurship to prepare girls to thrive in tech. Named by Techcrunch as “teaching the next generation of AI innovators,” she has built Technovation into a movement reaching 400,000+ people across 160+ countries. Her research shows that AI education for girls could unlock a $200 billion opportunity for the world economy. Through Technovation and The AI Forward Alliance (TAIFA), she's preparing 25 million young women to lead in AI innovation and tackle global challenges.What You'll Learn:Build a Career With Purpose: How Tara's journey from aerospace engineering to global nonprofit leadership shows what it truly looks like to build a career around impact and values.Challenging Social Norms: How deeply ingrained social norms shape the career choices of girls and women worldwide - and how we can begin to challenge them.Confidence as a Skill: Why confidence isn't something you're born with, and how to cultivate it through real-world experience and problem solving."Build a career around your values, and the impact you create will reach far beyond what you can imagine."Invest in Yourself and Your Career:Community — Join our Network for mid-career women redesigning what's next in their careersCoaching — Join the Career Navigator Coaching Programme: My high-touch, 1-to-1 experience to help you build a career aligned with your life. Book a Career Clarity Call to discussConnect with Tara ChklovskiAnyone interested in being a mentor, please check out technovation.org to learn more.Send us Fan MailConnect with me!Website: careerchangemakers.comEmail: podcast@careerchangemakers.comLinkedIn:  Janine EsbrandInstagram: @careerchangemakerspodcastCareer Change Makers on Apple Podcasts

Apple's greatest successes were built on failure. In this episode of Technovation, Peter High speaks with David Pogue, an Emmy-winning journalist, former New York Times technology columnist, CBS News correspondent and author of Apple: The First 50 Years, about how Apple transformed early product missteps into category-defining innovation. Drawing on 150 interviews and decades of coverage, Pogue unpacks the hidden lessons behind Apple's most famous failures—and how they shaped the company's future. Key insights include: Why the Apple III and Lisa failed—and what they enabled How constraints in the early Mac informed later breakthroughs The role of leadership in reframing failure as progress Apple's near-collapse and improbable turnaround What today's executives can learn from Apple's innovation model

The modern workplace wasn't designed for today's leaders, and it's starting to break under the pressure. In this episode of Technovation, board director, author and former CIO Lisa Davis joins Peter High to examine why the workplace system, built decades ago, no longer supports the realities of modern careers. Drawing from her leadership experience across government, academia, and the private sector, Davis outlines what must change, and what leaders must do now. Key insights include: Why the current workplace model is structurally outdated How power dynamics shape leadership advancement The hidden cost of talent loss and system misalignment Why AI leadership lacks critical representation What executives must do to redesign work for the future

Why do most AI initiatives fail to deliver real value? Because they automate broken processes instead of fixing them. In this episode of Technovation, Peter High speaks with Shobhit Varshney, Global Head of Artificial Intelligence at Citi, about how one of the world's largest banks is rethinking AI from the ground up. With experience spanning Citi and IBM, Shobhit shares how a value-first, platform-driven approach is enabling AI at scale, while maintaining strong governance and control. Key highlights include: Why re-engineering workflows is essential before applying AI How Citi prioritizes high-value use cases with clear ROI accountability The role of centralized AI platforms in scaling capabilities Embedding responsible AI across the enterprise Building an AI-first culture through training and champions

What happens when IT stops delivering projects—and starts delivering outcomes? In this episode of Technovation, Peter High speaks with Alex Gutman, CTO of Gilbane, about how a 150-year-old construction leader is transforming its IT operating model around value streams. Gutman shares how aligning technology to client-defined value is driving agility, accountability, and measurable business impact. Key highlights include: Transitioning from siloed projects to outcome-driven value streams Building faster learning loops through cross-functional alignment Treating data as a trusted asset to enable scalable AI Applying AI to accelerate RFP responses and field execution Designing architecture for flexibility, speed, and long-term differentiation

What does it take to scale technology across one of the world's largest marketing organizations? In this episode of Technovation, Peter High speaks with Craig Cuyar, Global CIO of Omnicom, about leading technology transformation across a $25B global enterprise. Craig shares how Omnicom is evolving from a holding company to a more centralized operating model, particularly in the wake of its acquisition of Interpublic Group. Key topics include: Managing post-acquisition integration at global scale Leveraging first-party data and proprietary platforms Using AI’s predictive models to agentic workflows, to transform marketing Balancing centralization, outsourcing, and business-aligned IT leadership

Why do so many successful companies eventually lose their way? In this episode of Technovation, Peter High speaks with Eric Ries, entrepreneur, founder of the Long-Term Stock Exchange, and author of The Lean Startup and his new book Incorruptible: Why Good Companies Go Bad and How Great Companies Stay Great. Eric argues that corporate corruption rarely begins with bad actors. Instead, it emerges from organizational design—governance structures, incentives, and metrics that gradually push companies away from their original mission. Key highlights from the episode: Corporate corruption is often a design problem, not a character problem Short-term pressure often acts as an “invisible force” inside organizations Organizations behave like “superorganisms,” developing their own intelligence and moral character Metrics can distort behavior when companies mistake the measurement for the goal

Enterprise leaders are investing heavily in AI, but many struggle to generate measurable business value. In this episode of Technovation, Peter High speaks with Kellie Romack of ServiceNow about how the company is scaling AI across its operations to produce real, quantifiable results. ServiceNow has already generated $355 million in AI-driven value internally, with automation resolving many service requests instantly and improving operational efficiency across the enterprise. Key topics include: How ServiceNow runs its own platform internally as Customer Zero Examples of AI resolving 90% of some IT service requests on first touch Why AI governance and oversight are essential at enterprise scale How automation transforms the workforce rather than replacing it Lessons for CIOs seeking real ROI from AI investments

Healthcare systems have traditionally been designed around individual encounters, not the patient journey. In this episode of Technovation, Peter High speaks with Rajan Mohan, Chief Marketing and Digital Experience Officer at Ascension Health, about how digital platforms, marketing strategy, and AI are reshaping how healthcare organizations engage patients. Drawing from leadership roles at Marriott International and Qatar Airways, Rajan explains how consumer-grade experience design can transform healthcare delivery. Key highlights include: Why healthcare must shift from encounters to coordinated patient journeys How marketing and digital teams can align around shared growth outcomes The role of AI in expanding healthcare capacity How personalization removes barriers to accessing care Why pricing transparency matters more than faster appointments

In this episode of Technovation, Peter High speaks with Stephen Witt, award-winning journalist and author of The Thinking Machine, which has been named Business Book of the Year by Financial Times. Witt writes about Jensen Huang's improbable journey from near-bankruptcy in the 1990s GPU wars to leading NVIDIA at the center of the AI revolution. Witt unpacks how NVIDIA defeated nearly 70 competitors, why Huang began targeting “zero-billion-dollar markets,” and how CUDA became the backbone of modern AI. Key highlights from the episode: How investing in zero-billion-dollar markets created durable platform advantage The emerging bull and bear cases for NVIDIA in robotics, edge computing, and global competition The strategic lessons NVIDIA extracted from surviving a 70-competitor GPU market Why operating with a constant “near-death” mindset shaped long-term execution discipline

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.

How do you scale AI in a regulated enterprise without risking trust, compliance, or credibility? In this episode of Technovation, Nick Colisto, CIO of Avery Dennison, and Sathish Muthukrishnan, Chief Information, Data & Digital Officer at Ally Financial, share how they are moving from AI pilots to measurable enterprise impact. From governance-first implementation inside a federally regulated bank to CFO-grade ROI tracking across a global manufacturing enterprise, this conversation focuses on the discipline required to operationalize AI at scale. Key highlights include: Why one AI misstep can set a regulated enterprise back years How to win over risk, audit, and compliance before scaling Embedding “human-in-the-loop” safeguards from day one Measuring AI-enabled initiatives using EBIT and IRR Taking credit for AI embedded in SaaS platforms If you’re leading AI in a regulated or board-visible environment, this episode offers a pragmatic blueprint for scaling responsibly. 🎧 Listen to learn how CIOs are turning AI experimentation into enterprise value.

Can trust be engineered into digital systems or is it purely cultural? In this episode of Technovation, Peter High speaks with Jimmy Wales, co-founder of Wikipedia and author of The Seven Rules of Trust, about designing platforms that scale without sacrificing integrity. From neutrality policies to radical transparency and human-in-the-loop AI governance, Wales shares how trust must be built, not assumed. Key highlights from the episode: Why trust operates at a human scale, even inside global platforms How incentives shape behavior, and why ad-driven models distort integrity Lessons from Airbnb's early trust crisis Managing generative AI with human oversight Neutrality as a strategic discipline in polarized times

Is AI really eliminating jobs, or is it redefining skills? In this episode of Technovation, Peter High speaks with Ehren Powell, Chief Digital Officer of Marathon Petroleum Corporation, about leading digital transformation at one of America's largest and most complex industrial enterprises. Powell shares how he is building a skills-first organization—decomposing roles, augmenting capabilities with AI, and reassembling work around differentiated processes. Key topics include: Why AI should be treated as a value multiplier—not a strategy How data contextualization unlocks massive sensor environments The creation of data domain ownership across the enterprise Applying edge technology and AI to improve safety and reliability Why curiosity and reinvention define the future workforce

You can't scale AI on fragmented data. In this episode of Technovation, Peter High speaks with Ogi Redzic, Chief Digital Officer of Caterpillar, about the foundational platform transformation that made rapid AI innovation possible across a $65B industrial enterprise. Ogi shares how retiring legacy systems, consolidating data into the Helios cloud platform, and establishing trusted data pipelines enabled CAT Digital to launch an enterprise AI assistant in just 10 months. Key topics include: Building Helios to process millions of data pipelines daily Turning unplanned downtime into predictive maintenance at scale Scaling $5B in industrial e-commerce Partnering with NVIDIA on edge AI and digital twins Aligning digital teams to measurable business outcomes

In this episode of Technovation, Peter High speaks with Saam Motamedi, General Partner at Greylock Partners, about the evolving role of artificial intelligence within the enterprise technology stack. They discuss how venture capital approaches enterprise AI companies at an early stage, how large enterprises are evaluating changes to their technology stacks, and what implications AI may have for workforce dynamics. Saam shares perspectives on how AI may influence infrastructure decisions, application development, and software business models over time. Key insights include: Shifts in enterprise infrastructure strategy Usage- and outcome-based software economics The future of AI agents What large enterprises should understand about emerging AI startups

Is your AI strategy ready for scale or headed for failure? In this episode of Technovation, leaders from Norfolk Southern, McCormick & Company, and Vulcan Materials joined us at our Metis Strategy Summit to discuss what it really takes to move from AI pilots to enterprise impact. From AI factories and predictive transportation platforms to hybrid operating models and reward system redesign, this conversation dives into the operational and cultural realities of scaling AI in complex organizations. Key highlights: Why 2026 is shaping up as the “scale or fail” year for AI How to industrialize AI with data platforms and governance Embedding technologists in business functions for contextual impact The critical role of AI literacy and trust Aligning incentives to drive behavioral change

Innovation isn't slowing down, but in many enterprises it's becoming invisible. In this episode of Technovation, Peter High speaks with Sean Murphy, Founder and CEO of DemoHop, about why distributed work is trapping great ideas inside organizations and what CIOs can do to fix it. Sean explains how weak ties across enterprises have eroded, why peer-to-peer discovery beats status meetings, and how visibility is becoming the missing ingredient for scaling AI. Key topics include: Why innovation gets trapped in distributed organizations How science fair–style demo days reduce duplication The hidden role of weak ties in creativity and breakthrough Making enterprise AI work visible and scalable Building credibility for technology teams with business leaders

Innovation in healthcare doesn't start with AI. It starts with operational stability. In this episode of Technovation, Peter High speaks with Chad Wasserman, CIO of HCA Healthcare, about leading technology at massive scale while keeping patient care at the center. Wasserman explains why “operational quiet” is the foundation that makes AI, data, and digital transformation possible and how HCA balances innovation with reliability across thousands of sites of care. Key topics include: Why stability is a prerequisite for innovation Treating IT as an extension of the care team Scaling AI responsibly in clinical and engineering domains Building data platforms to support generational change Developing technologists through deep business immersion

What if the real driver of digital disruption isn't technology, but unit economics? In this episode of Technovation, Peter High speaks with Dan Gill, Chief Product Officer of Carvana, about how disciplined unit economics power one of the most ambitious e-commerce models in retail. Rather than leading with engineering for its own sake, Carvana focuses relentlessly on eliminating friction, capturing profit pools, and reinvesting those economics back into customer value. Key highlights from the episode: Vertical integration and competitive advantage Deterministic, self-service digital experiences Proprietary platforms vs. off-the-shelf tools AI-human collaboration at scale

In this episode of Trending in Education, host Mike Palmer welcomes Tara Chklovski, the founder and CEO of Technovation, a global nonprofit that has been at the intersection of AI and education since 2016. Tara shares her journey from growing up in India to pursuing a PhD in aerospace engineering and eventually launching a mobile entrepreneurship program just two years after the iPhone debuted. The conversation dives into the Technovation accelerator model, a three-month program for girls and young women ages 8 to 24. Tara explains how the program empowers students to identify real-world problems in their communities and build tech-based startups to solve them. We discuss the importance of fostering a problem-solving mindset, the critical role of human mentorship in an AI-driven world, and why the "personalized learning" trend might be too narrow a lens for the future of education. Key Insights:

1047: What does it take to lead tech—and the enterprise—in 2026? In this episode of Technovation, we feature a panel from our October 2025 Metis Strategy Summit where Steven Norton speaks with three top executive recruiters: Craig Stephenson (Korn Ferry), Jamey Cummings (JM Search), and Scott Robbin (Heidrick & Struggles). Throughout the conversation, each recruiter gives their perspective on the evolving mandate of the CIO. The conversation covers: The convergence of data, security, digital, and operations under the CIO How talent strategy and succession planning are changing What makes a technology leader board-ready The rise (and ambiguity) of the Chief AI Officer Offshore workforce trends and leadership development

Enterprises aren't failing at AI. They're failing at data. Daniel Docter, Managing Director at Dell Technologies Capital, shares why the biggest barrier to enterprise AI isn't models or talent—it's the fractured, unstructured, and context-free data that most companies still struggle to harness. In this episode of Technovation, Daniel and Peter High explore: Why data context is critical to enabling enterprise reasoning How Redis and other startups are fixing the AI performance gap What Dell Technologies Capital looks for in early-stage enterprise AI How corporate VC has evolved into a founder-enabling force Why the next five years will reward enterprises that fix their data layer

What happens when a former startup CEO brings performance management discipline into city government? In this episode of Technovation, Peter High speaks with San José Mayor Matt Mahan about applying data-driven decision-making, KPIs, and accountability—practices familiar to tech leaders—to the public sector. Drawing from his experience running venture-backed startups, Mahan explains how focus, measurement, and feedback loops are reshaping how City Hall operates. Key topics include: Applying startup-style performance management to government Using dashboards and metrics to improve accountability Prioritizing outcomes over activity Leveraging AI to improve city services at scale Building a workforce ready to use new technology responsibly

What if AI is repeating the same mistakes society made during the Industrial Revolution? In this episode of Technovation, Peter is joined by Nobel Prize Laureate in Economics and Ronald A. Kurtz Professor of Entrepreneurship at the MIT Sloan School of Management Simon Johnson. Throughout their conversation, they explore why automation has historically failed to deliver shared prosperity and why artificial intelligence may be following the same path. Drawing on centuries of economic history, Johnson explains how mechanization once displaced workers faster than new jobs were created, fueling inequality and social unrest. Together, they discuss what today's AI leaders must learn from history, why institutions matter more than technology alone, and how workforce anxiety is an early warning sign of deeper structural problems. Key topics include: Automation vs. job creation AI's impact on entry-level and knowledge work Workforce polarization and regional inequality Lessons from the Industrial Revolution for today's leaders What it takes to align innovation with shared prosperity