A Tale of Two AIs
Podcast Description
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?"
Podcast Insights
Content Themes
The podcast centers on emerging topics in artificial intelligence, particularly the convergence of Generative AI and Predictive AI. Episodes feature discussions on practical applications, challenges in AI projects, and insights from leaders in the field, such as navigating team dynamics and leveraging tabular data for competitive advantage.
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?”
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.
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