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The Data & AI Chief

ThoughtSpot

Meet the world’s top data and AI leaders transforming how we do business. Hear case studies, industry insights, and personal lessons from the executives leading the data and AI revolution.

Join host Cindi Howson, Chief Data & AI Strategy Officer at ThoughtSpot, every other Wednesday to meet the leaders and teams at the cutting edge.

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  • 26 episodes
  • fortnightly
  • Avg 45 min
  • English

Episodes 26

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  • #147
    Wednesday · 39 min

    Why AI for Good Fails and How Leaders Can Fix It

    Even well-designed algorithms can fail and end up hurting the people they're meant to help. In this episode, Dr. Ben Green, Assistant Professor of Information and Public Policy at the University of Michigan, explains what it takes to build AI that works for humans. He shares what keeps data from being used for good, why AI regulation can't be left to AI companies, and what organizations risk losing when they hand too much of their thinking to AI.

  • #146
    September 30 · 44 min

    What Most Companies Get Wrong About AI Strategy with Jeff McMillan, former Morgan Stanley AI Leader

    Every leadership team is arguing about which AI model is best, but that debate is a distraction from the real problem. In this episode, Jeff McMillan, founder of McMillanAI and former head of firmwide AI at Morgan Stanley, breaks down the real bottlenecks behind enterprise AI strategy. He shares why fixing your data matters more than picking a model, why your best AI leader is probably already inside your company, and why AI eliminates tasks rather than entire jobs.

  • #145
    September 16 · 36 min

    AI Literacy Starts in the C-Suite

    Most AI playbooks are built for a workforce tethered to a desk, but many workers are not near a keyboard. In this episode, Beth Miles, Chief AI Officer at Advantage Solutions, breaks down how she's building an AI-ready culture across a distributed workforce of more than 60,000 teammates. She shares why AI literacy has to start with leadership, why redesigning a broken process matters more than simply automating it, and how she measures AI success well beyond adoption metrics.

  • #144
    September 2 · 1 hr 26 min

    3 Data and AI Books Every Leader Should Read in 2026

    In this special episode of The Data & AI Chief, host Cindi Howson sits down with three incredible authors to explore what it really takes to lead through the AI era, from scaling innovation to building AI-ready data foundations to designing systems that keep humans at the center.

  • #143
    August 19 · 48 min

    How Vanguard is Architecting its AI Semantic Layer

    Semantic layers and ontologies have moved from nice-to-have data modeling tools to the foundational engine required for enterprise AI. In this episode, Raman Tallamraju, Senior Director and Head of Enterprise Data Architecture and Engineering at Vanguard, breaks down how Vanguard is architecting its AI semantic layer to turn scattered institutional knowledge into reliable, agent-ready context. He shares why autonomous agents expose decades of hidden data debt, how to bridge domain-specific defin

  • #142
    August 5 · 42 min

    How Grant Thornton Reimagines Core Processes in the AI Era

    Imagine redesigning your most important processes from a blank sheet of paper, with no legacy systems to hold you back. Alpa Lally, Chief Product Officer at Grant Thornton, shares how the company is transforming into a frontier firm by reimagining core processes instead of automating them. She unpacks how embedded analytics reshapes client conversations, why AI governance is what helps you move faster, and how to reinvent your career in the age of AI.

  • #141
    July 22 · 38 min

    How Google Is Building Enterprise Trust in Agentic AI

    For most enterprises, autonomous AI agents still feel like a risk waiting to happen. Andi Gutmans, Vice President and General Manager for Data Cloud at Google, joins Cindi Howson to explain what it takes to build the data foundation that trustworthy agentic AI depends on. He breaks down how organizations can finally activate the 90 percent of enterprise data that's unstructured, why tokenmaxxing is the wrong way to measure AI value, and how open standards like Apache Iceberg are helping leaders

  • #140
    July 8 · 24 min

    How Swire Coca-Cola Turned Governance Into an AI Growth Engine

    For most data leaders, governance feels like the thing standing between them and progress. Bharathi Rajan, Vice President of Digital, AI, and Data at Swire Coca-Cola, joins Cindi Howson to share how she built the data foundation powering a $3 billion supply chain operation. She breaks down how to turn data quality into a business accelerator, get ahead of demand signals, and build the foundation every AI initiative actually depends on.

  • #139
    June 24 · 35 min

    How to Transform a SaaS Company with AI from ELMO CTO

    What happens when a software company building AI tools for HR teams uses those same tools to transform itself? Josh McKenzie, Chief Technology Officer at ELMO Software Group, shares how his team rebuilt their entire software development lifecycle around AI agents and redrew the boundaries of every engineering role. He breaks down how to lead that shift without losing people's trust, why domain expertise is the real SaaS moat, and how the right analytics partner unlocks decisions HR teams have ne

  • #138
    June 10 · 31 min

    How AI is Scaled Across Global Supply Chains with Ligentia

    Explore how a global supply chain company turned its data platform into a customer-facing product designed to operate at the speed of disruption. Boris Rabkin, Chief Information Officer at Ligentia, shares how the company executed that shift through a deliberate phased approach and a partnership with ThoughtSpot. He breaks down how to build a data foundation that scales, what it takes to embed analytics where decisions happen, and how to structure AI ownership and governance across a global regu

  • #137
    May 27 · 37 min

    Why Most Enterprise AI Pilots Fail: Lessons on Trust and Deployment

    Understand how to close the gap between AI experimentation and enterprise production. Shub Agarwal, Founder of the AI Trust Lab at USC and author of Successful AI Product Creation: A Nine-Step Framework, shares his AI product management framework for taking enterprise AI strategy from demo to production, drawing on two decades of product leadership at Amazon and Fortune 50 firms. He breaks down why experimentation must tie directly to business OKRs, the four mindset shifts leaders need to scale

  • #136
    May 13 · 41 min

    S&P Global’s Chief Data Officer on Turning Data into Business Outcomes

    Learn what happens when the executive accountable for data strategy is also the executive accountable for the business results that depend on it. Saugata Saha, President of S&P Global Market Intelligence and Chief Enterprise Data Officer at S&P Global, shares how he manages one of the world's largest financial data estates while driving business outcomes across public and private markets. He breaks down the four pillars of S&P Global's data strategy, the federated organizational model that conne

  • #135
    April 22 · 53 min

    How Semantic Layers and Ontologies Create Trusted AI

    Learn why an organization’s ontology, a structured framework for how a business defines, connects, and makes sense of its data and knowledge, is the most valuable and most overlooked asset in any AI strategy. Jessica Talisman, CEO and Founder of The Ontology Pipeline, and Tony Seale, Founder of The Knowledge Graph Guys, break down what it actually takes to build trusted AI, covering everything from semantic layers and knowledge graphs to why provenance is non-negotiable. They explain how organiz

  • #134
    April 8 · 40 min

    Inside WHOOP's Wearables AI Engine for Predictive Health

    Discover how WHOOP is building an AI-powered health data infrastructure that is redefining how we understand human health. Emily Capodilupo, Senior Vice President of Research, Algorithms, and Data at WHOOP, explains how continuous physiological data is uncovering new opportunities in predictive health through AI, from presymptomatic disease detection to biological age scoring. She examines the governance challenges of deploying AI in a regulated environment and what it takes to build the data tr

  • #133
    March 25 · 42 min

    A Wharton AI Research Leader's Formula for Responsible AI

    Learn why scaling AI is as much a human challenge as it is a technological one. Stefano Puntoni, Co-Director of Wharton Human-AI Research and Professor at The Wharton School, examines the limits of data-driven decision-making in the age of AI and why insights so often fail to translate into action. He breaks down the psychology behind AI resistance and outlines the leadership and change management strategies needed to turn AI potential into real organizational impact.

  • #132
    March 11 · 46 min

    How a Serial CDAO Scales AI in Insurance with Verisk

    Discover how enterprise AI and data strategy are operationalized at scale in one of the most highly regulated industries in the world. Louis DiModugno, Global Chief Data Officer at Verisk, shares how he builds AI-ready data foundations across 40+ petabytes of insurance and risk data, and the best practices behind embedding AI into enterprise products. He discusses unstructured data, deepfakes, and the shift from governance to observability, offering practical insights for data leaders scaling AI

  • #131
    February 25 · 41 min

    How AI Augments Human Creativity at Scale: The WPP Blueprint

    Learn how AI agents are reshaping enterprise decision-making, AI governance, and brand creativity. Daniel Hulme, Chief AI Officer at WPP & CEO of Satalia/Conscium, explains how AI agents, decision intelligence, and his concept of “brand brains” (AI systems designed to create brand-specific, production-grade content) are changing how organizations operate. He shares why companies don’t have data problems but decision-making problems, and how AI can augment human creativity at scale.

  • #130
    February 11 · 43 min

    How Nasdaq Architected a $90 Trillion Data Ecosystem

    Discover how Nasdaq uses data platforms at a massive scale to power markets and prepare for AI. Angie Ruan, Nasdaq’s CTO of Capital Access Platforms, explains how large-scale data systems support market integrity, transparency, and decision-making across public and private markets. She defines what it really means to be AI-ready, how leaders should modernize data platforms, and how market fundamentals help separate real AI value from hype.

  • #129
    January 28 · 48 min

    How OneDigital Is Reframing AI Agents as Coworkers

    Discover why the future of AI at work is more human than you think. Vinay Gidwaney, Chief Product Officer at OneDigital, shares how treating AI agents as talent rather than technology is changing AI adoption at work. He explains people-first change management, managing AI coworkers, building trust in human AI teams, and why real transformation depends on equity, access, and better decision-making.

Showing 1–20 of 26 episodes