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

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

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

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

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

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