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

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

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

  • From Demos to Deployments: How U.S. Bank Is Industrializing AI

    Proving AI works was never the hard part. The hard part is industrializing it. In this episode of Technovation, Peter High speaks with Dilip Venkatachari, Chief Information and Technology Officer at U.S. Bank, about what it actually takes to move from scattered AI experiments to a common platform with reusable components and measurable outcomes. Drawing from eight years leading technology at one of the country’s largest banks, Venkatachari explains how U.S. Bank treats model risk management and regulatory requirements as design parameters rather than obstacles, why the real technical challenge is plumbing rather than models, and how an internal AI marketplace uses social incentives to drive reuse without mandating it.

    Key Highlights:

    • Why industrialization, not proof-of-concept, is the defining AI challenge for large enterprises
    • How U.S. Bank treats regulatory requirements as design inputs rather than blockers to AI deployment
    • Why the best AI system creates no value if people don’t change their workflows
    • How an internal AI marketplace and citation-style reuse incentives prevent redundant technology stacks
    • Why AI is emerging as an unexpected solution to the COBOL skills retirement crisis
    • How frontier model companies are shifting from LLM providers to enterprise deployment partners
    • This episode is sponsored by Tines. This episode is presented by Tines: Freedom to build. Complete security. No compromises. Learn more at tines.io

      43 min
    • From Patterns to Prompts: Pawan Verma on AI Across the Pharma Value Chain

      AI is reshaping every stage of pharmaceutical distribution, but only if the organization is built to absorb it.

      In this episode of Technovation, Peter High speaks with Pawan Verma, Executive Vice President and Chief Data and Information Officer at Cencora, about leading technology and data strategy at one of the world’s largest healthcare companies ($320B+ in revenue, 5 million pharmaceuticals moving through its network daily).

      Verma joined Cencora in 2024 after serving as Global CIO at MetLife, with earlier leadership at Foot Locker, Target, and Verizon, a cross-industry arc that shapes how he thinks about patient access, workforce transformation, and what AI can and cannot replace in leadership.

      Key Highlights:

      • Why “centered-out” change management outperforms both top-down mandates and bottoms-up experimentation
      • How Cencora evaluates AI investments against a four-bucket prioritization model, including long-term sustaining value
      • Where AI is shortening the pharmaceutical chain: virtual clinical cohorts, faster drug discovery, and real-time inventory optimization
      • Why pharmaceutical supply chains demand a different standard of precision than conventional logistics
      • What AI cannot replace: the ability to unlearn, reframe on new emotional data, and hold authentic human connection
      • This episode is sponsored by Tines. This episode is presented by Tines: Freedom to build. Complete security. No compromises. Learn more at tines.io

        43 min
      • Security by Design: How Ally Financial’s CISO Builds Resiliency Into the Cloud

        A digital-only bank can’t afford to retrofit security. Ally Financial builds it in from the start.

        In this episode of Technovation, Peter High speaks with Spencer Cremers, Chief Information Security Officer at Ally Financial, about designing security and resiliency into cloud infrastructure by default — and what that requires organizationally.

        Cremers spent 20+ years at Ally progressing through divisional CIO and engineering roles before becoming CISO, including a stretch as interim Chief Information and Data Officer. That delivery background shapes how he positions security: not as a gatekeeper handing down requirements late in the cycle, but as a design partner embedded from the start.

        Key Highlights:

        • Why Ally’s cloud environment uses templatized resiliency patterns so application teams inherit security standards automatically
        • How a three-bucket framework separates AI-in-defenses, AI-enabled external threats, and governing Ally’s own AI use
        • What Cremers learned running a three-day, CEO-involved crisis simulation with concurrent threat vectors
        • Why a CISO with a delivery background can dismantle the adversarial dynamic between security and engineering
        • How Cremers managed the interim CIDO role without putting the organization into a holding pattern
        • This episode is sponsored by Tines. Freedom to build. Complete security. No compromises. Learn more at tines.io

           

          33 min
        • Ross Fubini on Finding the Wave Behind Breakout Startups

          What separates a great founder from a great company? For XYZ Venture Capital Founder and Managing Partner Ross Fubini, execution is only part of the equation. The company also needs to find its “wave.”

          In this episode of Technoventure, Fubini joins Peter High to unpack the investment philosophy behind XYZ’s bets on founder networks, defense technology, and AI. Drawing on his experience as an engineer, entrepreneur, executive coach, and investor, he explores:

          • Why XYZ built an early thesis around the Palantir talent network
          • What Fubini saw in Anduril before other investors embraced defense technology
          • Why exceptional execution still needs a market “wave”
          • How AI changes software development, defensibility, and venture investing
          • Why forward-deployed engineers are becoming increasingly important
          • Fubini also shares how he personally uses AI to research, challenge investment theses, and sharpen his thinking.

            58 min
          • How Nationwide CTO Michael Carrel Is Building an AI-Ready Workforce

            In this episode of Technovation, Nationwide CTO Michael Carrel joins Peter High to discuss how the company is building an AI-ready workforce while modernizing technology across its insurance and financial services businesses. Carrel explains why Nationwide made everyday AI available to associates across the company and paired access with future-ready learning sprints, manager certifications, and role-specific skill development.

            He also shares how Nationwide is applying generative and agentic AI across underwriting, claims, software engineering, and other domains while maintaining disciplined governance, trusted data, and human judgment.

            This episode is presented by Tines — Freedom to build. Complete security. No compromises. Learn more at tines.io

            45 min
          • How Trane Technologies Uses AI to Make Buildings More Autonomous

            What happens when AI moves beyond generating content and starts autonomously optimizing the physical world?

            In this episode of Technovation, Peter High speaks with Riaz Raihan, Senior Vice President and Chief Digital Officer of Trane Technologies, about how the company is applying AI, connected equipment, and massive volumes of IoT data to make buildings more autonomous and energy efficient.

            Riaz explains how BrainBox AI acts as an “autopilot” for complex HVAC systems, continuously making small adjustments to optimize energy use without sacrificing comfort. He also discusses Trane Technologies’ three-pillar AI strategy, responsible data use and cybersecurity, and a future in which smart, resilient buildings coordinate energy consumption, storage, and generation autonomously.

             

            This episode is presented by Tines — Freedom to build. Complete security. No compromises. Learn more at tines.io

             

            32 min
          • Goodyear CIO Raman Mehta on Making Speed the Strategy for Enterprise AI

            For Goodyear CIO Raman Mehta, enterprise AI cannot remain stuck in pilot mode. His mandate is to bring a startup mindset to a 128-year-old manufacturer by making speed a strategy and turning AI experimentation into measurable business impact.

            In this episode of Technovation, Raman joins Peter High to discuss Goodyear’s push toward industrial-scale AI, Lighthouse Projects, enterprise-grade intelligence, and connected manufacturing. He explains why trusted master data is essential for AI systems that reason, how his team is using AI itself to improve data quality, and why reskilling must happen through live work rather than courses alone.

            Key topics include:

            • Moving AI from pilots to measurable business outcomes
            • Building Lighthouse Projects around cross-functional problems
            • Creating enterprise-grade intelligence with governed data
            • Reskilling technology teams for agentic AI
            • Preparing connected factories for agents, robotics, and physical AI
            • This episode is presented by Tines — Freedom to build. Complete security. No compromises. Learn more at tines.io

               

              27 min
            • How Bobcat CDO Roy Greco Is Building a Digital Foundation for AI and Growth

              Bobcat is transforming machines that were once physical “tool carriers” into software-enabled, connected products. Behind that evolution is a broader effort to modernize the digital foundation of the business.

              In this episode of Technovation, Peter High speaks with Bobcat Chief Digital Officer Roy Greco about harmonizing global processes, building a trusted data intelligence platform, and scaling practical AI applications.

              They explore how Bobcat is:

              • Building a digital foundation for faster growth
              • Preparing trusted data for AI and analytics
              • Applying AI to equipment service and logistics
              • Bringing voice-enabled AI into machines
              • Using connected equipment to improve customer uptime
              • This episode is presented by Tines — Freedom to build. Complete security. No compromises. Learn more at tines.io

                This episode is also presented by Retool — Build internal software better, with AI. Learn more at retool.com

                30 min
              • Shardul Shah of Index Ventures on Why the Founder Is the Investment Thesis

                Before the market is obvious, what gives an investor the conviction to act?

                In this episode of Technoventure, Peter High speaks with Shardul Shah, Partner at Index Ventures, about why exceptional founders can matter more than early market signals. Shardul shares lessons from investing in companies including Datadog and Wiz and explains how he evaluates conviction, high agency, and founders who can “hold contradiction with ease.”

                They also explore:

                • How AI is reshaping enterprise software and infrastructure
                • Why companies born before 2025 need to reinvent themselves
                • The rise of machine-to-machine cybersecurity
                • Why enterprise AI adoption begins with culture and risk
                • How Shardul uses relationships and AI agents to accelerate learning
                • 47 min
                • PG&E CIO Ajay Waghray on Building Trusted Data for Predictive AI

                  Moving from reactive operations to predictive AI starts with trusted data.

                  In this episode of Technovation, Peter High speaks with Ajay Waghray, EVP and Chief Information Officer of PG&E, about the technology, data, process, and people transformation behind the company’s shift toward more predictive and proactive operations.

                  Waghray explains how PG&E combines trusted asset, weather, environmental, sensor, and smart-meter data to support continuous monitoring and AI-driven decision-making. He shares how these capabilities have helped avoid 19 million outage minutes, prevent 28 potential ignitions, and eliminate more than 5,000 emergency response hours.

                  The conversation also explores PG&E’s three-pillar AI strategy, foundation, democratization, and execution, and why cybersecurity, responsible AI, and standardized processes must advance together.

                  Listen to the full episode to hear how PG&E is building the foundation for predictive AI at enterprise scale.

                  This episode is presented by Tines — Freedom to build. Complete security. No compromises. Learn more at tines.io

                  This episode is also presented by Retool — Build internal software better, with AI. Learn more at retool.com

                  52 min

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

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                Twice-weekly conversations with top executives and thought leaders at the intersection of business, technology, and innovation. Each episode of Technovation explores the technology trends that are…

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