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

Retail is no longer about transactions, it's about designing experiences that create joy. In this episode of Technovation, Peter High speaks with Prat Vemana, Chief Information and Product Officer at Target, about how one of the world's largest retailers is redefining customer experience across digital and physical channels. Prat shares how Target is embedding design into every layer of the organization, leveraging AI to power conversational commerce, and building a unified, multi-channel journey that blends convenience with inspiration. Key highlights include: Why Target views itself as “in the business of joy” How UX is evolving into an enterprise-wide capability The shift from search and browse to conversational discovery Building AI-ready data through semantic and contextual layers Deploying agentic AI to accelerate decision-making at scale

What does it take to turn a portfolio of legacy retail brands into a scalable technology platform? In this episode of Technovation, Kumar “Kartik” Kartikeya, SVP and Chief Digital and Technology Officer at Catalyst Brands, shares how he is building a shared operating model across data, AI, and customer experience to unlock enterprise value at scale. Leading technology for a $9B multi-brand retail ecosystem, Kartikeya explains how selective centralization enables faster innovation while preserving brand identity. Key insights include: How shared data and AI capabilities drive cross-brand scale Why “one plus one must equal three” in platform strategy The role of Consumer 360 in personalization and growth How AI is improving both employee productivity and customer experience Why CSAT is the most important KPI

Most enterprises struggle to see beyond their immediate priorities. Toyota built a system to solve that. In this episode of Technoventure, Ro Gupta, Managing Director of Woven Capital, explains how Toyota uses a “speedboat” venture strategy to identify and act on emerging technologies before they become obvious. Drawing on his experience as both a founder and investor, Ro shares how corporate venture capital can unlock not just financial returns, but strategic foresight. Key topics include: The “speedboat” model for enterprise innovation Inside-out vs. outside-in investment strategy How Toyota partners with startups at global scale The future of mobility across AI, energy, and space Lessons from operating at both startup and enterprise levels

AI disruption is no longer a future scenario, it's already reshaping the workforce. In this episode of Technovation, Andrew Yang, Founder & CEO of Noble Mobile, author of Hey Yang, Where’s My Thousand Bucks? shares why job displacement is accelerating faster than leaders and policymakers can respond. A former presidential candidate and founder of the Forward Party, Yang has been warning about automation's impact for years. Now, he explains why those predictions are becoming reality, and what must change. Key highlights include: Why AI is already eliminating white-collar jobs The case for taxing AI instead of human labor How universal basic income could stabilize the economy Why policymakers continue to lag behind innovation Lessons from launching Noble Mobile to challenge incumbents

AI is becoming the missing layer that transforms agriculture from a physical practice into a data-driven system. In this episode of Technovation, Feroz Sheikh, Chief Information and Digital Officer of Syngenta, shares how AI, data, and digital platforms are reshaping how farmers make decisions and how innovation scales across global agriculture. Key highlights include: How AI completes the evolution of agriculture's “jigsaw puzzle” The role of interdisciplinary teams in driving innovation Real-world AI applications across R&D, supply chain, and farming Democratizing advanced science for farmers worldwide Using data at scale to predict and prevent crop disease

What does it take to modernize a 120-year-old real estate powerhouse without losing its entrepreneurial edge? In this episode of Technovation, Kamini Rangappan Lane, President and CEO of Coldwell Banker Realty, shares how she is transforming one of the largest residential real estate networks in the U.S. by standardizing the back end while preserving the human, local nature of the business. She discusses how AI and automation are reshaping agent workflows, enabling faster deal processing, and unlocking productivity across a network of 45,000 entrepreneurs. Key highlights include: Transitioning from 50 operating companies to a unified platform model Applying AI to reduce listing creation time from hours to minutes Balancing efficiency with personalization in a highly local business Driving technology adoption through customer obsession Redefining leadership through clarity, transparency, and authenticity

AI transformation doesn't fail because of technology, it fails because of culture. In this episode of Technovation, Peter High speaks with Trevor Schulze, CIO, and Eva Majercsik, Chief People Officer, of Genesys, about how they are jointly leading a human-centric AI transformation across a 6,000-person global organization. Together, they unpack why AI must be treated as a cultural shift and how organizations can drive adoption at scale. Key insights include: Why AI literacy is the foundation of enterprise adoption How CIOs and CPOs must co-own transformation The shift from automation to augmentation in the agentic era How experimentation unlocks innovation across the workforce Why change management is now a core leadership capability

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

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

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: Why experts extract more value from generative AI How CEOs are freezing junior hiring while boosting senior productivity Mims’ concept of “work slop” and how to avoid it Why hallucinations are structural in AI and require human oversight Tips for AI adoption that preserve creativity and context

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 construction What makes Caterpillar's AI adoption strategy unique—and replicable Inside the Helios platform and NVIDIA partnership powering data-driven insights Why the company pledged $100M to upskill the workforce of the future Lessons from scaling R&D with real-world customer involvement

1048: What if the hiring process wasn't broken—but reimagined? Anthony Moisant, Chief Information Officer and Chief Security Officer at Indeed, details how his teams are building trusted systems, tackling AI bias, and leveraging background agents and AI sourcing to solve the “black hole” of hiring. He also reflects on the importance of early-career talent, skill-based hiring, and the balance of self-learning and leadership-led growth. The conversation covers: Why trust is foundational to AI innovation at Indeed How “invite to apply” transforms the candidate experience The future of work through agentic systems and AI sourcing Balancing self-driven learning with leadership-created space

1047: What does it take to lead tech—and the enterprise—in 2026? In this episode of Technovation, we feature a panel from our October 2025 Metis Strategy Summit where Steven Norton speaks with three top executive recruiters: Craig Stephenson (Korn Ferry), Jamey Cummings (JM Search), and Scott Robbin (Heidrick & Struggles). Throughout the conversation, each recruiter gives their perspective on the evolving mandate of the CIO. The conversation covers: The convergence of data, security, digital, and operations under the CIO How talent strategy and succession planning are changing What makes a technology leader board-ready The rise (and ambiguity) of the Chief AI Officer Offshore workforce trends and leadership development

Enterprises aren't failing at AI. They're failing at data. Daniel Docter, Managing Director at Dell Technologies Capital, shares why the biggest barrier to enterprise AI isn't models or talent—it's the fractured, unstructured, and context-free data that most companies still struggle to harness. In this episode of Technovation, Daniel and Peter High explore: Why data context is critical to enabling enterprise reasoning How Redis and other startups are fixing the AI performance gap What Dell Technologies Capital looks for in early-stage enterprise AI How corporate VC has evolved into a founder-enabling force Why the next five years will reward enterprises that fix their data layer

Digitization was just the first step. True digital transformation in healthcare is only beginning. Dr. Michael Pfeffer, Chief Information and Digital Officer at Stanford Health Care, shares how he and his team are moving beyond electronic health records to deliver real-time, AI-powered care. From building ChatEHR, a secure, embedded LLM interface, to developing Stanford's FIRM framework for responsible AI, Pfeffer provides a behind-the-scenes look at one of the nation's most advanced digital health systems. In this episode, you'll learn: Why “digitized” isn't the same as “digital” How Stanford built the first integrated LLM in clinical workflows What makes healthcare AI safe, useful, and equitable Where AI adds real clinical value and where it doesn't The vision behind precision health at scale

1045: AI is no longer a side experiment—it's a core capability. But are your people, partnerships, and governance models ready for it? In this special Metis Strategy Summit panel episode, three seasoned technology leaders explore what it really takes to build trust, scale talent, and lead responsibly in the age of AI: Paul Ballew, Chief Data & Analytics Officer, National Football League Lakshman Nathan, EVP & CIO, Paramount Mark Sherwood, EVP & CIO, Wolters Kluwer Moderated by Peter High, the conversation dives into transformation through the lens of distributed governance, workforce readiness, and the human element behind every AI ambition. Key themes from the panel include: How the NFL's “One-to-One” fan engagement model blends personalization and privacy What happens when $2B in savings depends on department-level AI strategy (Paramount) Why “value realization” starts with your CFO and ends with trust (Wolters Kluwer) The limits of centralization—and why distributed innovation may win out How to balance Copilot rollouts with responsible AI guardrails

What happens when a former startup CEO brings performance management discipline into city government? In this episode of Technovation, Peter High speaks with San José Mayor Matt Mahan about applying data-driven decision-making, KPIs, and accountability—practices familiar to tech leaders—to the public sector. Drawing from his experience running venture-backed startups, Mahan explains how focus, measurement, and feedback loops are reshaping how City Hall operates. Key topics include: Applying startup-style performance management to government Using dashboards and metrics to improve accountability Prioritizing outcomes over activity Leveraging AI to improve city services at scale Building a workforce ready to use new technology responsibly

How do you build and scale digital innovation inside a 170-year-old company? Luke Gebb, EVP of Global Innovation at American Express, joins Peter High to share how Amex Digital Labs brings emerging technologies to market through a disciplined stage-gate process. Gebb outlines how his team incubates and graduates products that become core to Amex's customer experience—from peer-to-peer payments to blockchain-based travel rewards. He also shares lessons in navigating cross-functional execution, partnering with big tech, and launching products customers actually use. Key topics include: Amex's stage-gate innovation model Scaling peer-to-peer payments via PayPal/Venmo Building customer-centric discovery tools with GenAI Passport: Using NFTs to enhance travel experience Collaborating across engineering, legal, and compliance

AI can't fix what the healthcare system fundamentally gets wrong. In this episode, Liam Donohue, Co-Founder and Managing Partner at 406 Ventures, shares why his firm is betting on value-based care—and why AI risks breaking the system if applied to the wrong incentives. From launching EdTech's earliest funds to shaping 406 Ventures' sector focus in healthcare, cybersecurity, and infrastructure, Liam offers hard-won lessons in disciplined investing, operator-first teams, and systemic transformation. Key highlights: Why fee-for-service economics undermine care innovation How value-based care reshapes both incentives and outcomes The real reason AI is booming in revenue cycle management Lessons from WelbeHealth: rethinking elder care and payments Liam's take on what makes a founder truly backable

What if AI is repeating the same mistakes society made during the Industrial Revolution? In this episode of Technovation, Peter is joined by Nobel Prize Laureate in Economics and Ronald A. Kurtz Professor of Entrepreneurship at the MIT Sloan School of Management Simon Johnson. Throughout their conversation, they explore why automation has historically failed to deliver shared prosperity and why artificial intelligence may be following the same path. Drawing on centuries of economic history, Johnson explains how mechanization once displaced workers faster than new jobs were created, fueling inequality and social unrest. Together, they discuss what today's AI leaders must learn from history, why institutions matter more than technology alone, and how workforce anxiety is an early warning sign of deeper structural problems. Key topics include: Automation vs. job creation AI's impact on entry-level and knowledge work Workforce polarization and regional inequality Lessons from the Industrial Revolution for today's leaders What it takes to align innovation with shared prosperity

Most enterprises aren't struggling with AI because of technology. They're struggling because they're trying to scale pilots instead of platforms. In this episode of Technovation, Peter High speaks with Atilla Tinic, CIO of Qualcomm, about how the company is moving beyond one-off AI use cases to build an enterprise AI platform designed for scale. Tinic explains why unified and validated data is essential for AI accuracy, how Qualcomm enables developers and business teams through a centralized AI marketplace, and why security must be embedded into AI architecture from day one. Key topics include: Why data governance is foundational to AI success How Qualcomm structures AI as a reusable enterprise platform The rise of AI agents and autonomous systems Cybersecurity challenges introduced by AI and how AI helps defend against them

What does it actually take to move AI from experimentation to enterprise-wide impact? In this episode of Technovation, Peter High speaks with Leigh-Ann Russell, Chief Information Officer and Global Head of Engineering at Bank of New York (BNY), about how one of the world's most systemically important financial institutions is operationalizing AI at scale. Leigh-Ann shares how BNY trained 99% of its 50,000-person workforce on AI, moved beyond pilots into deep enablement, and empowered employees across technical and non-technical roles to build AI agents that drive real productivity gains. Key topics discussed include: Training nearly the entire workforce to become AI-literate Moving from AI pilots to enterprise-wide enablement Empowering employees to build and deploy AI agents Reducing cognitive load while improving speed and resilience Leading AI adoption through hands-on executive behavior

What if the key to enterprise AI wasn’t a tool, but a mindset? Mark Bloom, Global CIO at AJ Gallagher, joins Technovation to share how the 70,000-person insurance giant is scaling AI by leading with data quality and cultural alignment—not flashy tools. In this episode, Bloom details: How Gallagher eliminated 800+ data silos to centralize insight and enable AI Why crowdsourcing use cases from employees unlocked adoption at scale The shift from efficiency gains to revenue-focused AI How culture helped overcome resistance to data consolidation His dual perspective as both CIO and board member

What really drives cybersecurity investment and why is “threat” often the last reason? In this episode, Rakesh Loonkar, co-founder of Transmit Security and general partner at Picture Capital, shares a contrarian take on how cybersecurity product categories emerge and why compliance and platform shifts often matter more than actual threats. Drawing on decades of experience as both operator and investor, Rakesh explains how he evaluates risk timing, founder mindset, and market inflection points. Key highlights from the episode: Why most cyber spend starts with compliance, not attacks How to invest ahead of platform shifts like AI and cloud A three-part model for understanding cyber spending behavior The risks of financial-only boards in technical startups Lessons from building Trusteer, Transmit, and Picture Capital

What if your AI strategy is your business strategy? In this episode, three top tech leaders share how they're embedding AI not as a standalone initiative, but as a lever for enterprise transformation. Mojgan Lefebvre (Travelers), Pawan Verma (Cencora), and Glenn Remoreras (Breakthru Beverage) reveal how they've partnered with boards, business units, and frontline teams to scale AI from proof of concept to performance. Highlights include: How Travelers reduced onboarding from 2 hours to 2 minutes Cencora's framework for board-level AI education Breakthru's use of summits to build AI literacy across leadership The role of generative AI in operational redesign Balancing experimentation with responsible governance

What does it really take to design for resilience in an AI-first world? In this panel from the Metis Strategy Summit, Amtrak CDO Judith Apshago, GE Aerospace CIO David Burns, and Zoetis CDTO Keith Sarbaugh explore how resilient infrastructure is becoming the backbone of enterprise trust, uptime, and AI scalability. Tune in to learn how these leaders are: Responding to cloud outages and software disruption in real time Building AI literacy, governance, and use-case portfolios at scale Extending cyber defense and IT support to vulnerable supply chain partners Using edge computing and sensors to enable predictive diagnostics Converging IT and OT teams to enhance infrastructure intelligence

1036: What does it mean to manage a digital workforce? In this episode of Technovation, we feature a panel from our most recent Metis Strategy Summit where three top executives explore how AI is reshaping work, both automating tasks, and changing the nature of management itself. Peter High speaks with: Jennifer Charters, Chief Information Officer at Lincoln Financial Prasanna Gopalakrishnan, Chief Product & AI Officer at ADP Daniel Marcu, Global Head of AI Engineering at Goldman Sachs Together, they discuss: Why AI agents require new thinking about team structure and oversight How CIOs and CHROs must partner to build enterprise AI fluency The risks of shadow AI and the need for secure platforms How habit loops and performance incentives impact AI adoption What it takes to balance innovation speed with organizational readiness