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

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, 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

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 innovationTreating IT as an extension of the care teamScaling AI responsibly in clinical and engineering domainsBuilding data platforms to support generational changeDeveloping technologists through deep business immersion

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:

How does a 100-year-old manufacturing leader reinvent itself through autonomy and AI? In this episode, Caterpillar CTO Jaime Mineart shares how her team is transforming industrial work sites using robotics, machine intelligence, and real-time data. From mining to construction, the company is applying decades of engineering expertise to modern digital challenges, partnering with customers to co-develop scalable automation solutions. Key highlights from the episode: How autonomy is expanding beyond mining into quarries and constructionWhat makes Caterpillar’s AI adoption strategy unique—and replicableInside the Helios platform and NVIDIA partnership powering data-driven insightsWhy the company pledged $100M to upskill the workforce of the futureLessons from scaling R&D with real-world customer involvement