Two pathways have emerged in AI: the shiny new Generative, and the old-school Predictive—it's a Tale of Two AIs. Through discussions with data leaders, practitioners, and experts, we'll explore how and why the future of AI lies at the intersection of GenAI, PredAI, and software applications. Join FeatureByte's co-founder and CEO Razi Raziuddin for insightful conversations that ask, "How will we navigate the future ahead?"
A Tale of Two AIs
Claim This Podcastby FeatureByte
7 episodes
Updated Bi-weekly
Accepts GuestsHas Sponsors
15
Podcast Authority
BetaPoorBased on show quality, social media presence, reviews, charts, and more
Quality31
Social0
YouTube0
Engagement0
Podcast Overview
Two pathways have emerged in AI: the shiny new Generative, and the old-school Predictive—it's a Tale of Two AIs. Through discussions with data leaders, practitioners, and experts, we'll explore how and why the future of AI lies at the intersection of GenAI, PredAI, and software applications. Join FeatureByte's co-founder and CEO Razi Raziuddin for insightful conversations that ask, "How will we navigate the future ahead?"
Language
🇺🇲
Publishing Since
11/3/2023
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15
Podcast Authority
BetaPoorBased on show quality, social media presence, reviews, charts, and more
Quality31
Social0
YouTube0
Engagement0
7
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12
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excellent
Episode Length
42 minutes
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Every 143 days
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Recent Episodes
February 19, 2026
Evaluation vs. Valuation: Why Most ML Projects Stall with Gooder AI’s Eric Siegel
<p>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.</p><p><br></p><p>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.</p><p><br></p><p>They discuss:</p><ul><li><p>Why ML evaluation (AUC, lift, ROC) isn’t the same as ML valuation</p></li><li><p>The myth that a “good model” will automatically get deployed</p></li><li><p>Whether GenAI has actually fixed anything fundamental in data science</p></li><li><p>Why predictive AI may be entering a renaissance</p></li><li><p>And how predictive models can serve as a reliability layer for GenAI agents<br></p></li></ul><p>The core idea: enterprises don’t run on certainty — they run on probabilities, and probabilities aren’t going anywhere.</p>
February 5, 2026
Applied AI, Teams, and Agentic Intelligence with Forian’s Ben Miller
<p>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.</p><p>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.</p><p><br></p><p>They dive into:</p><ul><li><p>What “applied AI” really means and why deployment is everything.</p></li><li><p>How to structure teams for experimentation, speed, and real-world impact.</p></li><li><p>The evolving role of agents in enterprise AI workflows.</p></li><li><p>Balancing predictive models with agentic AI to drive actionable decisions.</p></li><li><p>Practical lessons for leaders aiming to scale AI responsibly and effectively.<br></p></li></ul><p>Whether you’re a data scientist, AI engineer, or business leader, this episode offers practical insights on making AI work in the real world.</p>
September 16, 2025
Agents, Context, and the Future of AI Workflows with ES Consulting’s Justin Swansburg
<p>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.</p><p>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.</p><p>They dive into:</p><ul><li><p>The interplay between predictive and generative AI—and why both matter for agents</p></li><li><p>How AI agents can supercharge business workflows.</p></li><li><p>The evolving role of data scientists in an AI-first world.</p></li><li><p>Why tools and context are the key to making agents useful.</p></li><li><p>Practical advice for leaders who want to experiment, learn, and stay ahead.</p></li></ul><p>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.</p>
7 total episodes available
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