Is AI really eliminating jobs, or is it redefining skills?

In this episode of Technovation, Peter High speaks with Ehren Powell, Chief Digital Officer of Marathon Petroleum Corporation, about leading digital transformation at one of America’s largest and most complex industrial enterprises. Powell shares how he is building a skills-first organization—decomposing roles, augmenting capabilities with AI, and reassembling work around differentiated processes.

Key topics include:

• Why AI should be treated as a value multiplier—not a strategy

• How data contextualization unlocks massive sensor environments

• The creation of data domain ownership across the enterprise

• Applying edge technology and AI to improve safety and reliability

• Why curiosity and reinvention define the future workforce

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