Technovation with Peter High (CIO, CTO, CDO, CXO Interviews)

Latest Episodes:

Inside Caterpillar’s AI and Robotics Strategy with CTO Jaime Mineart Jan 26, 2026

Show notes

How does a 100-year-old manufacturing leader reinvent itself through autonomy and AI?

In this episode, Caterpillar CTO Jaime Mineart shares how her team is transforming industrial work sites using robotics, machine intelligence, and real-time data. From mining to construction, the company is applying decades of engineering expertise to modern digital challenges, partnering with customers to co-develop scalable automation solutions.

Key highlights from the episode:

How autonomy is expanding beyond mining into quarries and construction
What makes Caterpillar’s AI adoption strategy unique—and replicable
Inside the Helios platform and NVIDIA partnership powering data-driven insights
Why the company pledged $100M to upskill the workforce of the future
Lessons from scaling R&D with real-world customer involvement

Reinventing the Job Marketplace: Anthony Moisant on AI, Trust & Strategy Jan 22, 2026

Show notes

1048: What if the hiring process wasn’t broken—but reimagined?

Anthony Moisant, Chief Information Officer and Chief Security Officer at Indeed, details how his teams are building trusted systems, tackling AI bias, and leveraging background agents and AI sourcing to solve the “black hole” of hiring. He also reflects on the importance of early-career talent, skill-based hiring, and the balance of self-learning and leadership-led growth.

The conversation covers:

Why trust is foundational to AI innovation at Indeed
How “invite to apply” transforms the candidate experience
The future of work through agentic systems and AI sourcing
Balancing self-driven learning with leadership-created space

Why Today’s CIO Must Be an Enterprise Leader, Not Just a Tech Strategist Jan 19, 2026

Show notes

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

Solving the Data Bottleneck: How Dell Technologies Capital Makes AI Work in the Enterprise Jan 16, 2026

Show notes

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

Digitized Isn’t Digital: Dr. Michael Pfeffer on Redesigning Healthcare with AI Jan 15, 2026

Show notes

Digitization was just the first step. True digital transformation in healthcare is only beginning.

Dr. Michael Pfeffer, Chief Information and Digital Officer at Stanford Health Care, shares how he and his team are moving beyond electronic health records to deliver real-time, AI-powered care. From building ChatEHR, a secure, embedded LLM interface, to developing Stanford’s FIRM framework for responsible AI, Pfeffer provides a behind-the-scenes look at one of the nation’s most advanced digital health systems.

In this episode, you’ll learn:

Why “digitized” isn’t the same as “digital”
How Stanford built the first integrated LLM in clinical workflows
What makes healthcare AI safe, useful, and equitable
Where AI adds real clinical value and where it doesn’t
The vision behind precision health at scale

Building Trust and Talent in the AI Era: Lessons from NFL, Paramount, and More Jan 12, 2026

Show notes

1045: AI is no longer a side experiment—it’s a core capability. But are your people, partnerships, and governance models ready for it?

In this special Metis Strategy Summit panel episode, three seasoned technology leaders explore what it really takes to build trust, scale talent, and lead responsibly in the age of AI:

Paul Ballew, Chief Data & Analytics Officer, National Football League
Lakshman Nathan, EVP & CIO, Paramount
Mark Sherwood, EVP & CIO, Wolters Kluwer

Moderated by Peter High, the conversation dives into transformation through the lens of distributed governance, workforce readiness, and the human element behind every AI ambition.

Key themes from the panel include:

How the NFL’s “One-to-One” fan engagement model blends personalization and privacy
What happens when $2B in savings depends on department-level AI strategy (Paramount)
Why “value realization” starts with your CFO and ends with trust (Wolters Kluwer)
The limits of centralization—and why distributed innovation may win out
How to balance Copilot rollouts with responsible AI guardrails

What Tech Leaders Can Learn from San José’s Data-Driven Approach to Government Jan 08, 2026

Show notes

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

Inside Amex Digital Labs: Luke Gebb on Piloting and Scaling Emerging Tech Jan 05, 2026

Show notes

How do you build and scale digital innovation inside a 170-year-old company?

Luke Gebb, EVP of Global Innovation at American Express, joins Peter High to share how Amex Digital Labs brings emerging technologies to market through a disciplined stage-gate process.

Gebb outlines how his team incubates and graduates products that become core to Amex’s customer experience—from peer-to-peer payments to blockchain-based travel rewards. He also shares lessons in navigating cross-functional execution, partnering with big tech, and launching products customers actually use.

Key topics include:

Amex’s stage-gate innovation model
Scaling peer-to-peer payments via PayPal/Venmo
Building customer-centric discovery tools with GenAI
Passport: Using NFTs to enhance travel experience
Collaborating across engineering, legal, and compliance

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Liam Donohue on Fixing U.S. Healthcare: Why AI Alone Won’t Save It Jan 02, 2026

Show notes

AI can’t fix what the healthcare system fundamentally gets wrong.

In this episode, Liam Donohue, Co-Founder and Managing Partner at 406 Ventures, shares why his firm is betting on value-based care—and why AI risks breaking the system if applied to the wrong incentives.

From launching EdTech’s earliest funds to shaping 406 Ventures’ sector focus in healthcare, cybersecurity, and infrastructure, Liam offers hard-won lessons in disciplined investing, operator-first teams, and systemic transformation.

Key highlights:

Why fee-for-service economics undermine care innovation
How value-based care reshapes both incentives and outcomes
The real reason AI is booming in revenue cycle management
Lessons from WelbeHealth: rethinking elder care and payments
Liam’s take on what makes a founder truly backable

Power and Progress — Nobel Laureate Simon Johnson on Why AI Is Repeating Industrial-Era Mistakes Jan 01, 2026

Show notes

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: