Technovation with Peter High (CIO, CTO, CDO, CXO Interviews)
348 episodes — Page 1 of 7
Simplify First, Scale AI Next with Vulcan Materials CIO Krzysztof Soltan
Aetna’s Nathan Frank on Scaling AI to Give Healthcare Workers Time Back
Michael Kempe on How AI Is Reinventing the Professional Services Business Model
How Sequoia’s Bogomil Balkansky Identifies Outlier Founders
Retool CEO David Hsu on Why AI Models Are No Longer the Bottleneck
Verizon CTO Yago Tenorio on Building the Autonomous Network
The Infinity Machine: The Untold Story of Demis Hassabis and DeepMind
How M&T Bank Built a Technology-First Culture with Michael Wisler
Wesley Chan on Building 100-Year Companies and Investing Against Consensus
Kimberly-Clark’s Francesco Tinto on Leading AI-First Enterprise Transformation
How AGCO’s Jena Holtberg-Benge Is Using AI to Transform Precision Agriculture
How PPG’s CIO Turned IT into a Competitive Advantage
How ElevenLabs Turns AI into Measurable Business Outcomes
Annie Lamont on Reinvention and Winning Across Four Decades of Venture Capital
Gary Sorrentino on How Zoom Is Moving AI from Conversation to Completion
David Epstein: How Constraints Drive Innovation, Creativity, and Better Leaders
Priceline CTO Sejal Amin on Building AI-Powered Travel
Tamar Yehoshua on Building AI with Enterprise Context at Atlassian
Avi Eyal on Why Great Founders Still Matter Most in the Age of AI
Jim Peko on Building the Future of Professional Services at Grant Thornton
The Complexity Problem: Gus Shahin on Simplifying the Enterprise for AI
How Jack Henry Uses AI and Data Science to Transform Community Banking
How SailPoint’s CIO Is Securing AI Agents, Machine Identities, and Enterprise
Stephen Ward on Why Great Cybersecurity Leaders Think Beyond Technology
How Freudenberg Built a Startup-Style Innovation Engine for Emerging Tech
How Curt Garner Built Chipotle’s $5B Digital Commerce Engine
Inside Southwest’s Modernization Journey: Resilience and Operational Excellence
Sankar Chinnathambi on AI, Forecasting, and Digital Agriculture at Driscoll’s
Arpan Shah on AI Agents, Venture Capital, and the Future of Knowledge Work
How Vanguard Is Preparing for an AI-Powered Future
Toward Clinical-Grade AI: Shaping the Healthcare Experience
How Ralliant Is Building AI-Native Operating Systems for Industry
From Pilot to P&L: Scaling AI with Financial Discipline
Paige Craig on Why Great Founders Matter More Than Great Ideas
Steve Jobs in Exile: How Failure at NeXT Forged a Legendary Leader
The Insight Economy: Turning Intelligence into Revenue
Reinventing the Operating Model in an Era of Disruption
Redefining the Modern Tech Leader
Enrique Salem on Founder Leadership, Trust, and Scaling Technology Companies
Inside Charter’s Shift From Network Hardware to Software-Driven Infrastructure
From Tools to Transformation: How Expedia Operationalizes AI at Scale
Inside Target’s Experience-First Strategy with CIO Prat Vemana
How Catalyst Brands Uses Data and AI to Scale Across Retail Brands
Ro Gupta on Toyota’s Speedboat Strategy for Venture-Driven Innovation
Andrew Yang on AI Job Disruption and Why Policy Is Falling Behind
Feroz Sheikh on AI as the Final Puzzle Piece in Modern Agriculture
How Kamini Lane Is Modernizing Real Estate at Scale with AI and Standardization
Why AI Transformation Fails Without Culture: CIO & CPO Insights from Genesys
The Career Insight Most People Miss: Bill Gurley on Fascination & The Dream
Most career advice gets one thing wrong: it always tells you to follow your passion. In this episode of Technoventure, Bill Gurley, recent Author of Runnin’ Down a Dream, General Partner at Benchmark and investor in companies like Uber and Zillow shares a more actionable framework: follow your fascination. Drawing from decades in venture capital and insights from his new book, Gurley explains how curiosity, not convention, drives long-term success. Key insights include: Why fascination is a stronger signal than passion How over-structured career paths lead to disengagement The role of peer networks in accelerating growth Why non-linear careers produce better outcomes How AI is reshaping opportunity and speculation cycles
Inside Swiss Re’s AI Strategy: Faster Claims, Smarter Insights, Better Outcomes
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