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

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:

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

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:

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:

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:

Together, they discuss:

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:

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

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:

What does it really take to scale AI across a global enterprise?

In this episode, Jaime Montemayor, Chief Digital and Technology Officer at General Mills, shares the AI playbook behind the company’s digital transformation from foundational investments in cloud and data governance to business-led innovation across supply chain, e-commerce, and marketing.

With 96% of General Mills’ supply chain data now clean and governed, Jaime’s team is shifting from predictive analytics to agentic architectures that enable scalable, AI-powered automation.

Key insights include: