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

Most career advice gets one thing wrong: it always tells you to follow your passion. In this episode of Technoventure, Bill Gurley, recent Author of Runnin’ Down a Dream, General Partner at Benchmark and investor in companies like Uber and Zillow shares a more actionable framework: follow your fascination. Drawing from decades in venture capital and insights from his new book, Gurley explains how curiosity, not convention, drives long-term success. Key insights include: Why fascination is a stronger signal than passion How over-structured career paths lead to disengagement The role of peer networks in accelerating growth Why non-linear careers produce better outcomes How AI is reshaping opportunity and speculation cycles

What if claims processing could be 10x faster without sacrificing accuracy? In this episode of Technovation, Pravina Ladva, Group Chief Digital and Technology Officer at Swiss Re, shares how one of the world’s leading reinsurers is using AI to transform claims processing, unlock insights, and redefine how work gets done across the enterprise. Key highlights include: How AI is reducing claims processing time from ~40 days to 4–5 days Why data ingestion is the biggest unlock for AI in insurance The importance of building “AI-ready” data foundations How Swiss Re achieved ~60% enterprise AI adoption Why AI transformation is more about people and process than technology

Apple’s greatest successes were built on failure. In this episode of Technovation, Peter High speaks with David Pogue, an Emmy-winning journalist, former New York Times technology columnist, CBS News correspondent and author of Apple: The First 50 Years, about how Apple transformed early product missteps into category-defining innovation. Drawing on 150 interviews and decades of coverage, Pogue unpacks the hidden lessons behind Apple’s most famous failures—and how they shaped the company’s future. Key insights include: Why the Apple III and Lisa failed—and what they enabled How constraints in the early Mac informed later breakthroughs The role of leadership in reframing failure as progress Apple’s near-collapse and improbable turnaround What today’s executives can learn from Apple’s innovation model

The modern workplace wasn’t designed for today’s leaders, and it’s starting to break under the pressure. In this episode of Technovation, board director, author and former CIO Lisa Davis joins Peter High to examine why the workplace system, built decades ago, no longer supports the realities of modern careers. Drawing from her leadership experience across government, academia, and the private sector, Davis outlines what must change, and what leaders must do now. Key insights include: Why the current workplace model is structurally outdated How power dynamics shape leadership advancement The hidden cost of talent loss and system misalignment Why AI leadership lacks critical representation What executives must do to redesign work for the future

China is competing on control. In this episode, Ram Charan explains the “90% Model,” a strategy designed to dominate global manufacturing through scale, pricing power, and long-term positioning. Drawing on decades advising CEOs and global leaders, Charan breaks down how this model is reshaping industries—and what it means for business leaders navigating a fragmented, multi-polar world. Key insights include: Why China is willing to lose money to gain global dominance How “asset-light” strategies weakened Western manufacturing What CEOs must do to redesign supply chains for resilience Why AI should be treated as a tool—not a strategy How leadership must evolve in an era of unprecedented scale and speed

What does it really take to scale a company 10X in just a few years? Jon McNeill argues it’s not genius, it’s a system. In this episode of Technoventure, Jon McNeill, former President of Tesla and CEO of DVx Ventures, breaks down “The Algorithm,” a five-step framework that powered Tesla’s rise from $2B to $20B in revenue. He shares how questioning assumptions, eliminating friction, and accelerating execution can unlock exponential growth. Key insights include: Why hypergrowth is a repeatable operating system—not a one-time event How Tesla reduced complexity to increase speed and conversion The role of first-principles thinking in breakthrough innovation Why cycle time is the ultimate performance metric How leaders can build cultures that embrace feedback and urgency

Why do most AI initiatives fail to deliver real value? Because they automate broken processes instead of fixing them. In this episode of Technovation, Peter High speaks with Shobhit Varshney, Global Head of Artificial Intelligence at Citi, about how one of the world’s largest banks is rethinking AI from the ground up. With experience spanning Citi and IBM, Shobhit shares how a value-first, platform-driven approach is enabling AI at scale, while maintaining strong governance and control. Key highlights include: Why re-engineering workflows is essential before applying AI How Citi prioritizes high-value use cases with clear ROI accountability The role of centralized AI platforms in scaling capabilities Embedding responsible AI across the enterprise Building an AI-first culture through training and champions

What happens when IT stops delivering projects—and starts delivering outcomes? In this episode of Technovation, Peter High speaks with Alex Gutman, CTO of Gilbane, about how a 150-year-old construction leader is transforming its IT operating model around value streams. Gutman shares how aligning technology to client-defined value is driving agility, accountability, and measurable business impact. Key highlights include: Transitioning from siloed projects to outcome-driven value streams Building faster learning loops through cross-functional alignment Treating data as a trusted asset to enable scalable AI Applying AI to accelerate RFP responses and field execution Designing architecture for flexibility, speed, and long-term differentiation

What does it take to scale technology across one of the world’s largest marketing organizations? In this episode of Technovation, Peter High speaks with Craig Cuyar, Global CIO of Omnicom, about leading technology transformation across a $25B global enterprise. Craig shares how Omnicom is evolving from a holding company to a more centralized operating model, particularly in the wake of its acquisition of Interpublic Group. Key topics include: Managing post-acquisition integration at global scale Leveraging first-party data and proprietary platforms Using AI’s predictive models to agentic workflows, to transform marketing Balancing centralization, outsourcing, and business-aligned IT leadership

Why do so many successful companies eventually lose their way? In this episode of Technovation, Peter High speaks with Eric Ries, entrepreneur, founder of the Long-Term Stock Exchange, and author of The Lean Startup and his new book Incorruptible: Why Good Companies Go Bad and How Great Companies Stay Great. Eric argues that corporate corruption rarely begins with bad actors. Instead, it emerges from organizational design—governance structures, incentives, and metrics that gradually push companies away from their original mission. Key highlights from the episode: Corporate corruption is often a design problem, not a character problem Short-term pressure often acts as an “invisible force” inside organizations Organizations behave like “superorganisms,” developing their own intelligence and moral character Metrics can distort behavior when companies mistake the measurement for the goal

Is AI evolving beyond software into a new form of digital labor? In this episode of Technoventure, Peter High speaks with Sandhya Venkatachalam, Co-Founder and General Partner at Axiom Partners, about the next phase of artificial intelligence. Sandhya argues that AI is moving from a tool that assists humans to systems capable of performing entire jobs, from data science to network engineering. This shift could expand AI’s economic impact far beyond traditional software markets. Key topics include: Why AI is transitioning from software tools to digital workers How Axiom Partners is building an AI-native venture capital firm Opportunities for AI in industries like construction, legal, and infrastructure The importance of creating insanely useful and usable products How founders can build companies serving billions of people globally

Enterprise leaders are investing heavily in AI, but many struggle to generate measurable business value. In this episode of Technovation, Peter High speaks with Kellie Romack of ServiceNow about how the company is scaling AI across its operations to produce real, quantifiable results. ServiceNow has already generated $355 million in AI-driven value internally, with automation resolving many service requests instantly and improving operational efficiency across the enterprise. Key topics include: How ServiceNow runs its own platform internally as Customer Zero Examples of AI resolving 90% of some IT service requests on first touch Why AI governance and oversight are essential at enterprise scale How automation transforms the workforce rather than replacing it Lessons for CIOs seeking real ROI from AI investments

Healthcare systems have traditionally been designed around individual encounters, not the patient journey. In this episode of Technovation, Peter High speaks with Rajan Mohan, Chief Marketing and Digital Experience Officer at Ascension Health, about how digital platforms, marketing strategy, and AI are reshaping how healthcare organizations engage patients. Drawing from leadership roles at Marriott International and Qatar Airways, Rajan explains how consumer-grade experience design can transform healthcare delivery. Key highlights include: Why healthcare must shift from encounters to coordinated patient journeys How marketing and digital teams can align around shared growth outcomes The role of AI in expanding healthcare capacity How personalization removes barriers to accessing care Why pricing transparency matters more than faster appointments

In this episode of Technovation, Peter High speaks with Stephen Witt, award-winning journalist and author of The Thinking Machine, which has been named Business Book of the Year by Financial Times. Witt writes about Jensen Huang’s improbable journey from near-bankruptcy in the 1990s GPU wars to leading NVIDIA at the center of the AI revolution. Witt unpacks how NVIDIA defeated nearly 70 competitors, why Huang began targeting “zero-billion-dollar markets,” and how CUDA became the backbone of modern AI. Key highlights from the episode: How investing in zero-billion-dollar markets created durable platform advantage The emerging bull and bear cases for NVIDIA in robotics, edge computing, and global competition The strategic lessons NVIDIA extracted from surviving a 70-competitor GPU market Why operating with a constant “near-death” mindset shaped long-term execution discipline

What happens when you put revenue and technology under one executive leader? In this episode of Technovation, Peter High speaks with Drew Pinto, Executive Vice President and Chief Revenue and Technology Officer at Marriott International, a $26 billion hospitality leader approaching its 100-year anniversary. Pinto shares how Marriott is transforming technology from a support function into a strategic growth engine — tightly integrated with capital allocation, AI experimentation, and commercial outcomes. Key highlights include: Why Marriott merged revenue and IT under a single executive mandate How disciplined capital allocation is shaping AI investments The shift from “tech for tech’s sake” to measurable business impact Why most “technology problems” are actually data problems How a new product operating model is breaking down silos 🎧 Listen to learn how modern CIOs can align IT strategy directly to top-line growth.

Is AI just another tech bubble or the defining platform shift of this era? Duncan Davidson, Co-Founder and General Partner at Bullpen Capital, argues that the answer lies in one critical distinction: Is the technology being used for its core purpose? In this episode of Technoventure, Duncan draws on his experience across the PC boom, dot-com era, mobile, and now AI to explain why real adoption signals durability. He also explores why CIOs can’t afford to sit out a boom, how AI agents may disrupt the SaaS model, and why history suggests productivity revolutions create more opportunity than they destroy. For technology leaders navigating board-level AI pressure, this conversation reframes the question from timing the bubble to strategically participating in the inflection. Key insights include: Why core-use adoption determines whether AI is hype or a true platform shift Why leaders must participate in tech booms rather than try to time the peak How to distinguish defensible AI innovation from fragile “wrapper” plays What historical signals indicate when a technology boom is nearing exhaustion

How do you scale AI in a regulated enterprise without risking trust, compliance, or credibility? In this episode of Technovation, Nick Colisto, CIO of Avery Dennison, and Sathish Muthukrishnan, Chief Information, Data & Digital Officer at Ally Financial, share how they are moving from AI pilots to measurable enterprise impact. From governance-first implementation inside a federally regulated bank to CFO-grade ROI tracking across a global manufacturing enterprise, this conversation focuses on the discipline required to operationalize AI at scale. Key highlights include: Why one AI misstep can set a regulated enterprise back years How to win over risk, audit, and compliance before scaling Embedding “human-in-the-loop” safeguards from day one Measuring AI-enabled initiatives using EBIT and IRR Taking credit for AI embedded in SaaS platforms If you’re leading AI in a regulated or board-visible environment, this episode offers a pragmatic blueprint for scaling responsibly. 🎧 Listen to learn how CIOs are turning AI experimentation into enterprise value.

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