The Data Chief

In this season premiere of The Data Chief podcast, host Cindi Howson sits down with three industry leaders to unpack what’s next for AI, and the concrete moves data and AI leaders need to make in 2026—many of which are detailed in ThoughtSpot’s Top Data & AI Trends of 2026 ebook.
Get ready for a deep dive into:
Agentic AI goes mainstream with Paul Baier, CEO and Co-Founder of GAI Insights
AI-ready data and the rise of the AI manager with Jennifer Belissent, Principal Data Strategist at Snowflake
Scaling agents with trust and control with Rory Blundell, CEO of Gravitee
Consider this your field guide to navigating AI in 2026.
Key Moments:
Agentic AI Goes Mainstream with Paul Baier, GAI Insights (1:50): Paul Baier, CEO and Co-Founder of GAI Insights, explains why enterprises that already have GenAI in production are pulling decisively ahead, how agentic AI is reshaping enterprise operating models, and why leadership alignment and AI literacy will determine winners in 2026.
AI-Ready Data and the Rise of the AI Manager, Jennifer Belissent, Snowflake (19:16): Dr. Jennifer Belissent, Principal Data Strategist at Snowflake, breaks down why data quality, transparency, and governance remain the foundation of AI success, and why the next critical enterprise skill is learning how to manage AI agents as part of the workforce.
Scaling Agents with Trust and Control with Rory Blundell, Gravitee (35:11): Rory Blundell, CEO of Gravitee, shares how the agentic era is redefining API integration, why most enterprises are stuck at early AI maturity stages, and how agent management and security frameworks will unlock real action in 2026.
Key Quotes:
“Yo u have to treat AI as a capability and not an IT project.” - Paul Baier
“ Transparency as a requirement is not slowing down adoption. It's actually accelerating it.” - Jennifer Belissent
“My prediction is that companies that adopt robust security frameworks in 2026 will be the companies that accelerate fastest.” - Rory Blundell 
Mentions
GAI Insights’ Corporate Buyers Guide to Enterprise Intelligence Applications
Harvard Business Review: GAI Insights’ WINS Framework
Gravitee’s AI Readiness Curve
ThoughtSpot’s Top Data & AI Trends of 2026 ebook
Guest Bios 
Paul Baier
Mr. Baier is the CEO and principal analyst at GAI Insights. Mr Baier co-authored 4 articles about enterprise GenAI that were featured in Harvard Business Review and MIT Sloan Management Review. He was appointed an Executive Fellow at Harvard Business School and is a Forbes contributor. He is a seasoned software entrepreneur with two decades of experience and multiple exits. Related to AI, he was VP of Product at First Fuel Software, an enterprise AI company for 5 years. He holds an MBA from Harvard and a BA from Kenyon College.
Jennifer Belissent
As Principal Data Strategist, Jennifer advises Snowflake customers on data and AI strategy and best practices in building world-class organizations. Previously, she spent over a decade as a Forrester Analyst, and has held management positions in tech sales and marketing, designed urban policy programs, taught secondary school math as a Peace Corps volunteer, and earned a Ph.D. in political science from Stanford University and a B.A. in econometrics from the University of Virginia.
Rory Blundell
Rory Blundell is the CEO of Gravitee. He joined the company in March 2020, first as Chief Revenue Officer, before becoming CEO in September 2020. Prior to Gravitee, Blundell led SnapLogic's EMEA expansion from a technical sales perspective, overseeing significant growth in EMEA revenues over three years. Prior to SnapLogic, he was the CEO and founder of Velinko, a UK software and consultancy company for the legal and accounting sectors.

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In this special episode, host Cindi Howson pulls together the most useful, and hard-won, lessons from a year of conversations with Data Chiefs leading the GenAI charge. With generative and agentic AI no longer a side experiment, this episode spotlights five practices early adopters can rely on to move from pilots to profit. Expect straight talk on what to prioritize, how to bring people with you, and how to scale AI with the trust, literacy, and guardrails that make impact stick.
Key Moments:
Tying AI to Real Dollars with Anand Iyer, Ecolab (02:10): Anand cuts through the GenAI FOMO and brings everything back to a simple survival test: if you can’t draw a straight line from an AI initiative to top-line growth or bottom-line savings, it won’t last. His lesson is a sharp reminder that “cool” doesn’t scale, value does. 
Leading Through Ambiguity with Karen Stroup, WEX (06:01): Karen names what everyone’s feeling: ambiguity is paralyzing. She explains how leaders earn trust by shrinking the unknown into learnable, bite-sized experiments and creating the psychological safety people need to engage instead of resist.
Building Practical AI Literacy at Scale with Josh Cunningham, Lloyds Banking Group (12:42):  Josh shares how Lloyds Banking Group makes literacy impactful by meeting people where they are. Rather than one-size-fits-all training, they pair broad fundamentals with role-specific learning so every business unit can build confidence in ways that match their actual work. 
Scaling Responsible Agentic AI with Noelle Russell, AI Leadership Institute (25:09): Noelle steps in with a practical framework for building agentic systems that don’t go rogue. She walks through the POET framework and stresses that responsible AI isn’t a final checkpoint. It’s something you embed from the first idea to production, with guardrails that protect people and outcomes.
Embedding AI Where Work Happens with Ilan Twig, Navan (32:35): Ilan tells a classic early-adopter story: start with a business problem, move fast, and be ruthless about what needs building versus buying. His lesson is that AI wins when it’s inside the workflow, supporting decisions at the point of impact rather than living in a separate tool. 
Don’t Let Perfection Stall Progress with Ketan Karkhanis, ThoughtSpot (40:59): Ketan shares a culture gut-check: waiting for perfect metrics, perfect KPIs, or perfect clarity is how progress dies. He argues for visible, trust-building iteration, because in AI, speed to learning beats speed to certainty. 
Key Quotes:
“One thing that people sometimes forget is that at the end of the day, it's all about are we either saving money or making money? And are you able to show that in the bottom line or the top line in a measurable way?” - Anand Iyer
“I don't think there's any chief anything officer that should not be considering AI today. I think if you're not considering AI, you are at the risk of being disrupted because you're not going to be learning at the pace with the rest of the industry, and there's someone out there looking for a better way.” - Karen Stroup
“It’s trying your best to meet people where they are… Finding a way to anchor the [AI] learning to something that's relevant to their day-to-day role is always going to make it land better.” - Josh Cunningham
“ When people lose 70% of their trust in you, they just don't buy from you, they don't work for you, they don't talk about you… and your business starts to die. I think that trust component is a human component… and it is underpinning all the other philosophies that I have.” - Noelle Russell
“When you asked me about how to educate yourself on AI, I think that companies must make a decision, and quickly, this or that.” - Ilan Twig
“ Don't let perfection be the enemy of progress.” - Ketan Karkhanis
Guest Bios 
Anand Iyer
Anand Iyer is the SVP, Chief Data Officer at Ecolab, where he leads the company’s global data and analytics strategy. Based in Mechanicsburg, Pennsylvania, he oversees enterprise data governance, business intelligence, engineering, and advanced analytics to accelerate Ecolab’s digital transformation. Since joining in 2018, Anand has held several senior roles, including VP of Enterprise Architecture and VP of Architecture for Commercial Digital Solutions, helping to scale IoT and data-driven platforms across the organization.
Karen Stroup
Karen joined WEX in 2022 as Chief Digital Officer, a newly created role. She brings more than 15 years of experience leading product management, digital, and innovation organizations focused on software as a service offerings, primarily in financial services.
Josh Cunningham
Josh Cunningham is the Group Head of Data and AI Culture at Lloyds Banking Group, where he leads the Data Culture Pillar—one of five strategic pillars in the Group’s data strategy. He is focused on embedding data-driven mindsets across the organization and empowering teams to unlock the full value of data.
Noelle Russell
Noelle Russell is a multi-award-winning speaker, author, and AI Executive who specializes in transforming businesses through strategic AI adoption. She is a revenue growth + cost optimization expert, 4x Microsoft Responsible AI MVP, and named the #1 Agentic AI Leader in 2025. She has led teams at NPR, Microsoft, IBM, AWS and Amazon Alexa, and is a consistent champion for Data and AI literacy and is the founder of the "I ❤️ AI" Community teaching responsible AI for everyone.
Ilan Twig
Ilan Twig is the co-founder and Chief Technology Officer (CTO) of Navan, the leading modern travel and expense management platform, globally. As CTO, Ilan drives Navan’s product development and engineering efforts, leveraging cutting-edge technologies — including AI — to enhance user experience and operational efficiency. 
Ketan Karkhanis
Ketan Karkhanis is the CEO of ThoughtSpot, the Agentic Analytics Platform company. Prior to joining the company in September 2024, Ketan was the Executive Vice President and General Manager of Sales Cloud at Salesforce. He returned to Salesforce in March 2022 after his time as the COO of Turvo, an emerging supply-chain collaboration platform. 

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Learn how one of the world’s biggest restaurant companies is turning data and AI into a recipe for global innovation. Cameron Davies, Chief Data Officer at Yum! Brands, shares how he’s combining strategy, technology, and change management to drive gobal growth. He explains how Yum! is building AI literacy from the top down, reimagining operations with generative AI, and partnering with NVIDIA to scale innovation. Cameron reveals what true data leadership looks like, balancing bold ideas with business impact, and proving transformation starts with people, not technology.
Key Moments:
Start with the Business Problem, Not the Tech (04:27): Cameron recalls advice from a mentor, “start with the business problem down, not the technology up.” He emphasizes that innovation only matters when it solves real business challenges, reminding data leaders not to get enamored with the “cool” factor of technology at the expense of impact.
Balancing Global Scale with Local Agility (07:45): Cameron unpacks the challenge of scaling analytics across 160 countries and four major brands, 98% of which are franchise-owned. He explains how Yum! balances centralization and autonomy, ensuring smaller markets have a voice while global teams leverage shared technology and insights.
Building AI Literacy from the Top Down (13:44): Cameron describes Yum!’s investment in digital upskilling, from Harvard-led training for executives to hands-on AI workshops for employees. He outlines how the company is embedding AI tools, like Microsoft Copilot and ChatGPT, into daily workflows to build confidence and accelerate adoption.
Digitizing the Restaurant: Byte By Yum! (17:18): Cameron introduces Byte By Yum!, a suite of proprietary software that simplifies restaurant operations. He explains how it unifies e-commerce, point-of-sale, voice AI, and kitchen systems to make running a restaurant easier and more efficient in an increasingly complex digital environment.
Partnering with NVIDIA to Power the Future (25:12): Cameron shares how Yum!’s strategic partnership with NVIDIA is fueling next-generation restaurant innovation. He reveals how the collaboration gives Yum! early access to cutting-edge AI engineering and product strategy, extending his team’s capabilities with some of the best minds in the field.
Key Quotes:
“Technology’s actually a whole lot easier than people, and the more successful the people are, the harder it is to get them to change.” - Cameron Davies
The business problem is the business problem. You never have as much data as you want, as fast as you want, as cleanly as you want. People are always people, but the opportunities are always the opportunities.” - Cameron Davies
“I think sometimes we get so enamored with the technology… We forget it’s all in the service of a business problem.” - Cameron Davies
Mentions
Byte By Yum!
Yum! Brands to accelerate AI innovation in an industry-first collaboration with NVIDIA
2025 AI & Data Leadership Executive Benchmark Survey
Guest Bio 
Cameron Davies currently serves as the Chief Data Officer at Yum! Brands since July 2020. Prior to this role, Cameron held the position of Senior Vice President of Corporate Decision Sciences at NBCUniversal, Inc. from September 2013 to July 2020, overseeing the Corporate Management Sciences and NBCU News Group Insights teams, focusing on advanced analytics and data strategies. 
Cameron's career at Walt Disney Co. spanned from October 1996 to September 2013, where responsibilities included leading the Walt Disney World Resort Forecast and Planning teams and managing global Yield Management. Cameron established and led the Corporate Center of Excellence in Management Science and Integration, collaborating with Disney executives on analytics initiatives. Earlier in the career, from May 1989 to June 1996, Cameron served as a Professor of Finance and Accounting at Pensacola Christian College, teaching various business courses. 
Cameron holds a Master of Business Administration (MBA) in Marketing Research and Operations Management from the UWF Lewis Bear Jr. College of Business and a Bachelor of Science in Business/Accounting from Pensacola Christian College.

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Step inside a conversation on the art and architecture of AI transformation. Vedran Karamani, Group Data Analytics & Agentic AI – CDAIO at Alghanim Industries, shares how he’s embedding intelligence across one of the Middle East’s largest conglomerates. He breaks down what it takes to make AI approachable in the boardroom, why data literacy is now a business imperative, and how to balance innovation with operational reality. Discover how Vedran is redefining the role of data, technology, and human insight in shaping the next generation of enterprise transformation.
Key Moments:
From Deterministic to Probabilistic Thinking (10:19): Vedran explains how today’s AI shifts decision-making from predictable, rules-based systems to adaptive, probabilistic ones. He shares how leaders must learn to balance control with flexibility to build trust in AI’s potential while managing its unpredictability.
AI Literacy in the Boardroom (12:55): Vedran emphasizes that real transformation begins with leadership understanding. He shares how he uses storytelling and analogies to educate executives on AI fundamentals, turning abstract concepts like “deterministic vs. probabilistic” into relatable, actionable insights.
The Readiness Factor (17:29): Not every business is equally prepared for AI. Vedran breaks down the difference between change management and change readiness, urging leaders to assess cultural alignment, technical infrastructure, and data maturity before diving into transformation.
Data as the Differentiator (25:15): Vedran argues that as algorithms become commoditized, competitive advantage will come from the quality and context of a company’s data. He outlines how clean, well-modeled, and contextualized data will form the backbone of any successful AI strategy.
The Middle East’s AI Momentum (32:05): Vedran highlights how ambition, experimentation, and government investment are fueling rapid AI growth across the Middle East. He contrasts this energy with slower-moving Western markets, suggesting the region’s “learn fast” mindset could shape the future of global innovation.
Key Quotes:
"Today, no business has an excuse not to be data-driven.” - Vedran Karamani
“ With today's AI, we are almost unleashing this immense power that's very probabilistic… We need to learn how to coexist with that and how to leverage it for the greatest benefit of our businesses.” - Vedran Karamani
“ If you want to stand the chance to have AI help you transform your business, you better get your data to a certain standard for that to be even possible.” - Vedran Karamani
Mentions
Demis Hassabis, CEO of DeepMind Technologies
Guest Bio 
With over two decades at the forefront of Data Analytics and AI leadership, Vedran Karamani charted a path of innovation across global landscapes, from the dynamic markets of the Middle East to the dynamic tech hubs of North America. Guiding multi-million-dollar portfolios, Vedran pioneered disruptive solutions, propelling sectors like Aviation, Retail, Telecom, Defense, Oil & Gas, Digital, Logistics, and Education into the future.
Renowned for his collaborative leadership approach, Vedran empowered diverse teams to navigate challenges with agility, fostering an environment of continuous growth and individual excellence. From concept to execution, he’s led the charge in delivering game-changing strategies, business cases, and prototypes, ensuring organizations stay ahead in today's rapidly evolving landscape.

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In this episode of The Data Chief, Ilan Twig, co-founder and CTO of Navan, shares why large language models will revolutionize our relationship with technology—just like the mouse did for the keyboard. From pushing AI to its limits to launching Navan Cognition, built for zero critical hallucination, Ilan reveals what it really takes to lead through change and build AI that people can trust. He also dives into a critical question every company must face: Will you build AI from scratch, or build with AI partners?? And if you're curious about the next frontier, Ilan paints a bold vision of agent-to-agent communication—where AI services talk to each other and your admin work disappears into the background.  A must-listen for anyone building the future of AI-powered user experiences.
Key Moments:
Agent-to-Agent Communication (A2A) (17:00): Ilan envisions a future where dedicated AI services communicate with each other in natural language, without the need for an API. This "mother of all bots" would manage administrative tasks by talking to other bots, simplifying complex tasks for the user.
AI as a "Human" Experience (27:16): Ilan was surprised by the release of ChatGPT in 2022 because it was the first time a technology felt human. This led him to spend four months building and testing the technology's boundaries, including its ability to lie or be "jailbroken" with creative prompts.
Identifying the Core Business (31:43): Ilan advises companies to decide if they want to become an "AI company" or simply use AI. He explains that building a core AI platform requires a huge commitment.
A Case Study in Building (35:32): The conversation furthers, as a light is shed on the building of “Navan Cognition”, because no solution existed at the time to prevent critical hallucinations in AI models. This system includes a supervisor agent that works to catch and correct undesirable responses, creating a "zero critical hallucination" experience for its users.
Key Quotes:
"LLMs would do to the mouse what the mouse did to the keyboard when it comes to how humans interact with computers."  - Ilan Twig
“My role is to always apply the best technology in order to drive, to create the best product and best experience. That's my role. And it is not technology for the sake of technology. It is technology for the sake of creating value for the users." - Ilan Twig
“We ended up using ThoughtSpot. We also applied the generative AI capabilities that you guys have built into your product. That's build versus buy. That's the benefit of buy.”  - Ilan Twig
Mentions
Navan Introduces World’s Smartest T&E Personal Assistant
Navan Cognition
AI jailbreak method tricks LLMs into poisoning their own context
Surely You're Joking, Mr. Feynman! (Adventures of a Curious Character)  - Richard P. Feynman
Guest Bio 
Ilan Twig is the co-founder and Chief Technology Officer (CTO) of Navan, the leading modern travel and expense management platform, globally. As CTO, Ilan drives Navan’s product development and engineering efforts, leveraging cutting-edge technologies — including AI — to enhance user experience and operational efficiency. This is Ilan’s second successful venture with Navan CEO Ariel Cohen, following their previous company, StreamOnce, a business multimedia integration platform acquired by Jive Software. With nearly two decades of engineering experience, Ilan has a proven track record of leading innovative research and development teams. He previously held key roles at Hewlett-Packard and Rockmelt, where he managed large-scale engineering initiatives. Ilan holds a Bachelor of Science in Computer Science from the Academic College of Tel-Aviv, Yaffo. As a forward-thinking technologist, Ilan is passionate about integrating AI-driven solutions to redefine the future of corporate travel and expense management.

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