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

Latest Episodes:

From Pilots to Platforms: How Qualcomm Is Scaling Enterprise AI Dec 29, 2025

Show notes

Most enterprises aren’t struggling with AI because of technology. They’re struggling because they’re trying to scale pilots instead of platforms.

In this episode of Technovation, Peter High speaks with Atilla Tinic, CIO of Qualcomm, about how the company is moving beyond one-off AI use cases to build an enterprise AI platform designed for scale. Tinic explains why unified and validated data is essential for AI accuracy, how Qualcomm enables developers and business teams through a centralized AI marketplace, and why security must be embedded into AI architecture from day one.

Key topics include:

Why data governance is foundational to AI success
How Qualcomm structures AI as a reusable enterprise platform
The rise of AI agents and autonomous systems
Cybersecurity challenges introduced by AI and how AI helps defend against them

AI for Everyone, Everywhere: Inside BNY’s Playbook for Enterprise-Wide Enablement Dec 25, 2025

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What does it actually take to move AI from experimentation to enterprise-wide impact?

In this episode of Technovation, Peter High speaks with Leigh-Ann Russell, Chief Information Officer and Global Head of Engineering at Bank of New York (BNY), about how one of the world’s most systemically important financial institutions is operationalizing AI at scale. Leigh-Ann shares how BNY trained 99% of its 50,000-person workforce on AI, moved beyond pilots into deep enablement, and empowered employees across technical and non-technical roles to build AI agents that drive real productivity gains.

Key topics discussed include:

Training nearly the entire workforce to become AI-literate
Moving from AI pilots to enterprise-wide enablement
Empowering employees to build and deploy AI agents
Reducing cognitive load while improving speed and resilience
Leading AI adoption through hands-on executive behavior

How Gallagher Built Enterprise AI on Culture and Data First Dec 22, 2025

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What if the key to enterprise AI wasn’t a tool, but a mindset?

Mark Bloom, Global CIO at AJ Gallagher, joins Technovation to share how the 70,000-person insurance giant is scaling AI by leading with data quality and cultural alignment—not flashy tools.

In this episode, Bloom details:

How Gallagher eliminated 800+ data silos to centralize insight and enable AI
Why crowdsourcing use cases from employees unlocked adoption at scale
The shift from efficiency gains to revenue-focused AI
How culture helped overcome resistance to data consolidation
His dual perspective as both CIO and board member

The Real Drivers of Cyber Spend: Risk, Compliance, and AI Disruption Dec 19, 2025

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What really drives cybersecurity investment and why is “threat” often the last reason?

In this episode, Rakesh Loonkar, co-founder of Transmit Security and general partner at Picture Capital, shares a contrarian take on how cybersecurity product categories emerge and why compliance and platform shifts often matter more than actual threats. Drawing on decades of experience as both operator and investor, Rakesh explains how he evaluates risk timing, founder mindset, and market inflection points.

Key highlights from the episode:

Why most cyber spend starts with compliance, not attacks
How to invest ahead of platform shifts like AI and cloud
A three-part model for understanding cyber spending behavior
The risks of financial-only boards in technical startups
Lessons from building Trusteer, Transmit, and Picture Capital

The CIO as Change Agent and Ecosystem Builder Dec 18, 2025

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What if your AI strategy is your business strategy?

In this episode, three top tech leaders share how they’re embedding AI not as a standalone initiative, but as a lever for enterprise transformation.

Mojgan Lefebvre (Travelers), Pawan Verma (Cencora), and Glenn Remoreras (Breakthru Beverage) reveal how they’ve partnered with boards, business units, and frontline teams to scale AI from proof of concept to performance.

Highlights include:

How Travelers reduced onboarding from 2 hours to 2 minutes
Cencora’s framework for board-level AI education
Breakthru’s use of summits to build AI literacy across leadership
The role of generative AI in operational redesign
Balancing experimentation with responsible governance

Resilience by Design: Building AI-Ready Infrastructure for Digital Trust Dec 15, 2025

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What does it really take to design for resilience in an AI-first world?

In this panel from the Metis Strategy Summit, Amtrak CDO Judith Apshago, GE Aerospace CIO David Burns, and Zoetis CDTO Keith Sarbaugh explore how resilient infrastructure is becoming the backbone of enterprise trust, uptime, and AI scalability.

Tune in to learn how these leaders are:

Responding to cloud outages and software disruption in real time
Building AI literacy, governance, and use-case portfolios at scale
Extending cyber defense and IT support to vulnerable supply chain partners
Using edge computing and sensors to enable predictive diagnostics
Converging IT and OT teams to enhance infrastructure intelligence

Managing the Digital Workforce: AI’s Role in the Future of Work Dec 11, 2025

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1036: What does it mean to manage a digital workforce?

In this episode of Technovation, we feature a panel from our most recent Metis Strategy Summit where three top executives explore how AI is reshaping work, both automating tasks, and changing the nature of management itself.

Peter High speaks with:

Jennifer Charters, Chief Information Officer at Lincoln Financial
Prasanna Gopalakrishnan, Chief Product & AI Officer at ADP
Daniel Marcu, Global Head of AI Engineering at Goldman Sachs

Together, they discuss:

Why AI agents require new thinking about team structure and oversight
How CIOs and CHROs must partner to build enterprise AI fluency
The risks of shadow AI and the need for secure platforms
How habit loops and performance incentives impact AI adoption
What it takes to balance innovation speed with organizational readiness

Delivering the Product Operating Model (and Mindset) at Scale Dec 08, 2025

Show notes

Our broadcast today features a panel from our most recent Metis Strategy Summit on the topic of Delivering the Product Operating Model (and Mindset) at Scale.

In this panel episode, we explore the limits and lessons of scaling the product operating model. Sal Companieh (Cushman & Wakefield), Jim Fowler (Nationwide), and Diane Schwarz (Smurfit WestRock) reflect on where product thinking thrives and where it breaks down.

Here are 5 takeaways from their candid discussion:

Why “readiness” must come before model
The risks of forcing product teams into fragmented structures
When to co-create with business leaders—and when to slow down
How agile funding models can clash with CapEx culture
What to do when the organization “doesn’t want the service”

Jamie Montgomery on Why AI Applications Will Power the Next Wave of Venture Returns Dec 05, 2025

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What if the most defensible companies of the AI era aren’t the ones building the infrastructure—but the ones using it to rethink workflows?

In this Technoventure episode, Peter High speaks with Jamie Montgomery, Founder and Managing Partner of March Capital, about why the firm is investing heavily in the AI application layer—not chips, not clouds, but the companies delivering real task-based outcomes.

Key topics explored:

Why workflow-based moats beat data moats in the new venture cycle
How application-layer companies are scaling faster with leaner GTM
The ripple effects of AI CapEx on the U.S. economy and tax base
March Capital’s bets on open-source LLMs and scientific discovery
Why Montgomery believes AI “bailed out” the U.S. and VC industry alike

Madhu Ramamurthy on Balancing AI Innovation With Responsible Governance Dec 04, 2025

Show notes

What’s stopping AI from scaling across the enterprise? For Madhu Ramamurthy, CIO of Zurich North America, it’s not the technology. It’s the culture.

In this episode, Madhu shares how he’s navigating the paradox of AI: a tool with unprecedented potential, surrounded by institutional resistance, unclear regulations, and cultural misalignment. He outlines Zurich’s approach to responsible AI deployment, organizational change, and ethical tech use.

Key highlights include:

How “organizational antibodies” can kill innovation before it scales
The case for explainability and governance in AI development
Why domain expertise is more valuable than tech fluency
Building AI-native teams outside of legacy systems
Madhu’s warning on digital flattery and sycophantic AI

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