

Technovation with Peter High (CIO, CTO, CDO, CXO Interviews)
Metis Strategy
Twice-weekly conversations with top executives and thought leaders at the intersection of business, technology, and innovation. Each episode of Technovation explores the technology trends that are transforming business, and the leaders driving digital change inside their organizations. Produced by Metis Strategy and hosted by firm President Peter High, Technovation is the premier podcast for IT and technology professionals with the largest collection of interviews with elite CIOs, CTOs, and CDOs.
Episodes
Mentioned books

Mar 9, 2026 • 40min
From Encounters to Journeys: Rajan Mohan on Digital Healthcare Transformation
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

Mar 5, 2026 • 55min
The Thinking Machine: How Jensen Huang Won the GPU War for NVIDIA
Stephen Witt, award-winning journalist and author of The Thinking Machine, tells Jensen Huang’s rise from near‑bankruptcy to GPU dominance. He explores NVIDIA’s brutal 70‑competitor fight, the strategic bet on CUDA and parallel computing, the 2012 AI breakthrough that changed everything, and why Huang’s near‑death mindset led to durable platform advantages and bold market choices.

Mar 2, 2026 • 35min
How Marriott’s Chief Revenue & Technology Officer Is Turning IT into a Growth Engine
Drew Pinto, EVP and Chief Revenue and Technology Officer at Marriott, leads digital commerce, revenue management, IT, data analytics, and AI. He explains merging revenue with technology, disciplined capital allocation for AI, shifting tech toward measurable commercial impact, treating many tech issues as data problems, and a new product operating model to break down silos.

Feb 27, 2026 • 49min
Bubble or Breakthrough? How CIOs Should Think About the AI Tech Boom
Duncan Davidson, co-founder and GP at Bullpen Capital and serial entrepreneur, shares sharp views from decades of tech cycles. He discusses how core-use adoption separates durable AI from hype. He urges leaders to participate in booms, warns against fragile “wrapper” AI plays, and explores how AI agents could reshape the SaaS model and job tasks.

7 snips
Feb 26, 2026 • 21min
Defining, Measuring, and Communicating the Value of AI
Sathish Muthukrishnan, Ally Financial’s AI and data leader guiding regulator-conscious scaling. Nick Colisto, Avery Dennison’s CIO driving measurable digital transformation. They debate governance-first AI, human-in-the-loop safeguards, training risk and audit teams, multi-vendor platforms, CFO-grade ROI tracking, and when to claim AI value in SaaS. Practical strategies for scaling AI responsibly in regulated, board-visible environments.

Feb 23, 2026 • 46min
Jimmy Wales on The Seven Rules of Trust and Building Integrity at Scale
Jimmy Wales, co-founder of Wikipedia and author advocating open knowledge, explains how to design platforms that scale without losing integrity. He covers Wikipedia’s origins, building human-scale trust through openness and clear rules, neutrality as a strategic discipline, transparency when things go wrong, and human-in-the-loop approaches for managing generative AI.

Feb 19, 2026 • 25min
Designing the Skills-First Enterprise: AI and Workforce Reinvention
Ehren Powell, Chief Digital Officer at Marathon Petroleum, leads digital transformation across massive refining and midstream operations. He discusses building a skills-first organization, decomposing roles and reassembling work with AI. Topics include treating AI as a value multiplier, contextualizing sensor data, creating data domain ownership, applying edge tech for safety, and fostering curiosity and upskilling.

Feb 16, 2026 • 30min
No AI Without Clean Data: Inside Caterpillar’s Platform Transformation
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

Feb 13, 2026 • 45min
AI’s Role in the Enterprise Stack: Infrastructure, Investments & Economics
Saam Motamedi, General Partner at Greylock Partners who led the Anthropic investment, talks enterprise AI strategy and investing. He covers shifts in infrastructure as compute becomes AI workloads. He discusses usage- and outcome-based software economics. He explores agentic AI progress and implications for workforce dynamics and enterprise adoption.

Feb 12, 2026 • 32min
Scaling Transformation in the Age of AI
Christoph Sultan, CIO at Vulcan Materials, drives data modernization and trust through pilots. Anil Bhatt, CIO/CDO at Norfolk Southern, builds AI-powered transportation and safety platforms. Guy Perry, CIO/CDO at McCormick, scales data platforms and leads change. They discuss scaling AI beyond pilots, hybrid operating models, embedding technologists in business, AI literacy and trust, and aligning incentives for adoption.


