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:

• 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

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:

• 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

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

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

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”

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