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

You can’t scale AI on fragmented data.

In this episode of Technovation, Peter High speaks with Ogi Redzic, Chief Digital Officer of Caterpillar, about the foundational platform transformation that made rapid AI innovation possible across a $65B industrial enterprise.

Ogi shares how retiring legacy systems, consolidating data into the Helios cloud platform, and establishing trusted data pipelines enabled CAT Digital to launch an enterprise AI assistant in just 10 months.

Key topics include:

Building Helios to process millions of data pipelines daily

Turning unplanned downtime into predictive maintenance at scale

Scaling $5B in industrial e-commerce

Partnering with NVIDIA on edge AI and digital twins

Aligning digital teams to measurable business outcomes

In this episode of Technovation, Peter High speaks with Saam Motamedi, General Partner at Greylock Partners, about the evolving role of artificial intelligence within the enterprise technology stack. They discuss how venture capital approaches enterprise AI companies at an early stage, how large enterprises are evaluating changes to their technology stacks, and what implications AI may have for workforce dynamics.

Saam shares perspectives on how AI may influence infrastructure decisions, application development, and software business models over time.

Key insights include:

Shifts in enterprise infrastructure strategy

Usage- and outcome-based software economics

The future of AI agents

What large enterprises should understand about emerging AI startups

Is your AI strategy ready for scale or headed for failure?

In this episode of Technovation, leaders from Norfolk Southern, McCormick & Company, and Vulcan Materials joined us at our Metis Strategy Summit to discuss what it really takes to move from AI pilots to enterprise impact. From AI factories and predictive transportation platforms to hybrid operating models and reward system redesign, this conversation dives into the operational and cultural realities of scaling AI in complex organizations.

Key highlights:

Why 2026 is shaping up as the “scale or fail” year for AI

How to industrialize AI with data platforms and governance

Embedding technologists in business functions for contextual impact

The critical role of AI literacy and trust

Aligning incentives to drive behavioral change

Innovation isn’t slowing down, but in many enterprises it’s becoming invisible.

In this episode of Technovation, Peter High speaks with Sean Murphy, Founder and CEO of DemoHop, about why distributed work is trapping great ideas inside organizations and what CIOs can do to fix it. Sean explains how weak ties across enterprises have eroded, why peer-to-peer discovery beats status meetings, and how visibility is becoming the missing ingredient for scaling AI.

Key topics include:

Why innovation gets trapped in distributed organizations

How science fair–style demo days reduce duplication

The hidden role of weak ties in creativity and breakthrough

Making enterprise AI work visible and scalable

Building credibility for technology teams with business leaders

Innovation in healthcare doesn’t start with AI. It starts with operational stability.

In this episode of Technovation, Peter High speaks with Chad Wasserman, CIO of HCA Healthcare, about leading technology at massive scale while keeping patient care at the center. Wasserman explains why “operational quiet” is the foundation that makes AI, data, and digital transformation possible and how HCA balances innovation with reliability across thousands of sites of care.

Key topics include:

Why stability is a prerequisite for innovation

Treating IT as an extension of the care team

Scaling AI responsibly in clinical and engineering domains

Building data platforms to support generational change

Developing technologists through deep business immersion