Episodios

  • Designing the Skills-First Enterprise: AI and Workforce Reinvention
    Feb 19 2026

    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

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    25 m
  • No AI Without Clean Data: Inside Caterpillar’s Platform Transformation
    Feb 16 2026

    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

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    30 m
  • AI’s Role in the Enterprise Stack: Infrastructure, Investments & Economics
    Feb 13 2026

    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

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    45 m
  • Scaling Transformation in the Age of AI
    Feb 12 2026

    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

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    32 m
  • How CIOs Can Surface Innovation, Reduce Duplication, and Scale AI
    Feb 9 2026

    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

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    25 m
  • How HCA’s CIO Balances AI Innovation with Operational Stability at Massive Scale
    Feb 5 2026

    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
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    30 m
  • How Carvana Uses Unit Economics to Win at Digital Disruption
    Feb 2 2026

    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

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    49 m
  • Why Discipline Wins in Venture Capital: Sierra Ventures’ Strategic Playbook
    Jan 30 2026

    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

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    33 m