The Forgotten 50%: Why Predictive AI Deserves Equal Attention as Generative AI with Eric Siegel
November 13, 2025
Predictive models are the yin to Gen AI’s yang and yet, they’re often forgotten about and left behind; especially in the context of driving business value.
In the latest episode of Bringing Data and AI To Life, host Nick Dobbins, VP and Worldwide Field CTO at Informatica, sits down with Eric Siegel, CEO of Gooder AI and bestselling author of "The AI Playbook," to explore the practical implementation of machine learning in business operations and how we can cut through AI hype and unlock real business value through predictive analytics. Tune in to learn why predictive AI deserves equal attention as generative AI, how to bridge the gap between technical and business metrics, and discover a six-step framework for successful ML deployment.
What if we could cut through AI hype and unlock real business value through predictive analytics? In the latest episode of Bringing Data and AI To Life, host Nick Dobbins, VP and Worldwide Field CTO at Informatica, sits down with Eric Siegel, CEO of Gooder AI and bestselling author of "The AI Playbook," to explore the practical implementation of machine learning and Predictive AI in business operations.
What You’ll Learn
- How to leverage the six-step BizML framework to bridge the gap between technical teams and business stakeholders
- Why predictive AI deserves equal attention and investment alongside generative AI for operational improvement
- The critical difference between technical metrics (like AUC scores) and business metrics that demonstrate real value
- How to define specific, measurable predictions that drive operational improvements and bottom-line results
- Why data quality and coherent infrastructure are fundamental to successful AI implementation
- The importance of balancing technical innovation with clear business value propositions in AI projects
If you enjoyed this episode, make sure to subscribe, rate, and review it on Apple Podcasts and Spotify. Instructions on how to do this are
here.
Links:
If you enjoyed this episode, please visit:
Bringing AI and Data to Life is handcrafted by our friends over at:
fame.so