The Data & AI Chief

Cindi Howson

lindsay.noonan@thoughtspot.com

For verified host and producer emails, sign up to view.

Booking Overview

A business-focused show bringing data and AI executives and leaders into case-study conversations about building AI and analytics that actually work in production. It’s a strong booking fit for executives who can translate strategy into measurable deployment, governance, and enterprise transformation.

Metrics

Episodes: 140

Frequency: Biweekly

Rating: 4.9/5.0

Estimated listeners: 1k-10k

Gender skew: Neutral

Location: USA

Instagram: 3.2k followers

Contact Information

lindsay.noonan@thoughtspot.com

For verified host and producer emails, sign up to view.

Host

Cindi Howson - Chief Data & AI Strategy Officer at ThoughtSpot. She hosts the show and invites executives and teams leading the data and AI revolution to share insights and lessons every other Wednesday.

Booking Intelligence

Booking Requirements

medium
Typical Credentials:  
Data/AI executives and enterprise leaders (e.g., CIO/CTO) responsible for deploying AI/analytics at scale; or AI product leaders and academic/industry experts focused on AI trust, governance, and productionization.
Required Achievements:  
Senior executive leadership roles (e.g., CIO/CTO), Authorship of AI product frameworks or books, Founding roles tied to AI trust/evaluation research labs, Prior experience across major tech/enterprise organizations, Patents and published research (for expert guests)

Recent Guest Discussions

Josh McKenzie - Ai-driven Transformation Of A Saas Company’s Software Development Lifecycle Using AI Agents; Organizational Trust And Change; Domain Expertise As A Saas Moat; Analytics Partnership Value For HR Decision-making.

Boris Rabkin - Scaling AI And Analytics Across Global Supply Chains; Embedding Analytics Into A Customer-facing Platform; Phased Data Transformation; AI Ownership And Governance Under Global Regulatory Constraints; Monetization And Platform Scale After Acquisition.

Shub Agarwal - Why Enterprise AI Pilots Fail To Reach Production; Framework For Moving From Demo To Deployment; Trust And Benchmark Evaluation For Model Governance; Interdisciplinary Governance For Trustworthy Ai.

Recent Topics

Artificial Intelligence, Data, Analytics, Enterprise, Governance

Episodes

Here's the recent few episodes on
The Data & AI Chief
:

How to Transform a SaaS Company with AI from ELMO CTO

June 24, 2026

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...

How AI is Scaled Across Global Supply Chains with Ligentia

June 10, 2026

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 r...

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

May 27, 2026

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 sca...

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