A Tale of Two AIs

Evaluation vs. Valuation: Why Most ML Projects Stall with Gooder AI’s Eric Siegel

In this episode of A Tale of Two AIs, host Razi Raziuddin sits down with Eric Siegel, CEO of Gooder AI and founder of Machine Learning Week, to explore why so many predictive AI projects never make it to production—and what needs to change. Eric has spent decades helping enterprises move machine learning from theory to measurable business impact. In this conversation, he shares why technical performance isn’t enough, why deployment must be “sold” internally, and how predictive AI is poised for a renaissance in the age of generative systems. They discuss: * Why ML evaluation (AUC, lift, ROC) isn’t the same as ML valuation * The myth that a “good model” will automatically get deployed * Whether GenAI has actually fixed anything fundamental in data science * Why predictive AI may be entering a renaissance * And how predictive models can serve as a reliability layer for GenAI agents The core idea: enterprises don’t run on certainty — they run on probabilities, and probabilities aren’t going anywhere.

Applied AI, Teams, and Agentic Intelligence with Forian’s Ben Miller

In this episode of A Tale of Two AIs, host Razi Raziuddin sits down with Ben Miller, Director of Applied AI at Forian, to explore how organizations can turn AI from concept to real-world impact. Ben’s extensive experience spans healthcare, biotech, enterprise platforms, and more, giving him a unique perspective on building AI systems that deliver measurable business value. He shares stories from his career—from automating lab processes to deploying predictive models that saved millions in operational costs—and explains how agentic AI is beginning to transform how teams work. They dive into: * What “applied AI” really means and why deployment is everything. * How to structure teams for experimentation, speed, and real-world impact. * The evolving role of agents in enterprise AI workflows. * Balancing predictive models with agentic AI to drive actionable decisions. * Practical lessons for leaders aiming to scale AI responsibly and effectively. Whether you’re a data scientist, AI engineer, or business leader, this episode offers practical insights on making AI work in the real world.

Agents, Context, and the Future of AI Workflows with ES Consulting’s Justin Swansburg

In this episode of A Tale of Two AIs, host Razi Raziuddin sits down with Justin Swansburg, Founder of ES Consulting and former VP of Applied AI at DataRobot, to explore how enterprises can harness the power of AI. Justin’s  front-row seat to the evolution of AI in the enterprise gives him a unique perspective about hands-on AI strategy. He shares his firsthand stories from advising hundreds of organizations across industries—from predicting chicken survival rates to building customer churn models—and explains how the rise of agentic AI is reshaping enterprise applications. They dive into: * The interplay between predictive and generative AI—and why both matter for agents * How AI agents can supercharge business workflows. * The evolving role of data scientists in an AI-first world. * Why tools and context are the key to making agents useful. * Practical advice for leaders who want to experiment, learn, and stay ahead. Whether you’re an AI practitioner or a business leader trying to navigate the hype, this episode offers grounded insights on applying AI where it counts.

Bellroy’s CDO Chad Musick Discusses Building AI with Intention

In this episode of The Tale of Two AIs, host Razi Raziuddin welcomes Chad Musick, Chief Data Officer at Bellroy, for a wide-ranging and deeply thoughtful conversation on how to build AI systems that are both practical and principled. Chad’s journey from computational mathematics to AI leadership at a globally loved design brand is a masterclass in abstract thinking, problem-solving, and long-term strategy. You’ll hear about: * How Bellroy uses AI in customer service, fulfillment, and operations * Why abstraction, utility, and “asking why” are critical to effective data work * How GenAI helps elevate—not replace—data scientists and engineers * The dangers of overhyping AI and underinvesting in human context * What’s exciting in AI for 2025 If you're a business or tech leader exploring how to use AI thoughtfully, this episode is for you.

ezCater’s Chris Puzzo Shares His Lessons from Engineering Enterprise AI Applications

In this episode of A Tale of Two AIs, Razi Raziuddin sits down with Chris Puzzo, Enterprise Architect at ezCater, to explore how AI is transforming enterprise applications, engineering teams, and business strategy. Chris shares his insights on: * Bridging the gap between AI, engineering, and the business * How ezCater is using AI to power smart ordering and personalization * The impact of generative AI on software development and product innovation * Best practices for running AI experiments and integrating them into production * The future of AI agents and their role in enterprise architecture Whether you’re a tech leader, data scientist, or AI enthusiast, this conversation is packed with practical takeaways on navigating AI adoption, leveraging predictive and generative AI, and staying ahead of rapid technological shifts.