Can trust be engineered into digital systems or is it purely cultural?

In this episode of Technovation, Peter High speaks with Jimmy Wales, co-founder of Wikipedia and author of The Seven Rules of Trust, about designing platforms that scale without sacrificing integrity. From neutrality policies to radical transparency and human-in-the-loop AI governance, Wales shares how trust must be built, not assumed.

Key highlights from the episode:

Why trust operates at a human scale, even inside global platforms

How incentives shape behavior, and why ad-driven models distort integrity

Lessons from Airbnb’s early trust crisis

Managing generative AI with human oversight

Neutrality as a strategic discipline in polarized times

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

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:

What if the real driver of digital disruption isn’t technology, but unit economics?

In this episode of Technovation, Peter High speaks with Dan Gill, Chief Product Officer of Carvana, about how disciplined unit economics power one of the most ambitious e-commerce models in retail. Rather than leading with engineering for its own sake, Carvana focuses relentlessly on eliminating friction, capturing profit pools, and reinvesting those economics back into customer value.

Key highlights from the episode:

Vertical integration and competitive advantage

Deterministic, self-service digital experiences

Proprietary platforms vs. off-the-shelf tools

AI-human collaboration at scale

How can early-stage investors deliver repeatable, outsized returns—without chasing hype?

In this episode of Techoventure, Mark Fernandes, Managing Director at Sierra Ventures, shares the disciplined model behind one of the industry’s most consistent early-stage venture firms. Sierra’s strategy is designed for repeatable 3–5x returns by focusing on founder-market fit, tight portfolio construction, and tech-savvy sectors like AI, cloud, and cybersecurity.

Key insights include:

The four-part rubric Sierra uses to vet early-stage founders

Why fund size discipline is critical to long-term VC performance

How Sierra balances seed and Series A checks with portfolio theory

The power of “AI enablers” in healthcare, legal, and vertical SaaS

The 20-year evolution of Sierra’s CXO Board and its enterprise value

Is AI coming for your job—or just changing how you work?

In this episode, Wall Street Journal technology columnist Christopher Mims shares a grounded, deeply informed perspective on how AI is reshaping productivity, creativity, jobs, and knowledge work. From the pitfalls of overhyping generative AI to the rise of agentic systems and the enduring role of classic AI, Christopher unpacks what leaders need to know now. He also highlights how experts benefit most from AI, what happens when organizations anchor too heavily on AI tools, and why handwritten notes, walking meetings, and skepticism are critical in the AI age.

Key highlights from the episode: