Too often, says predictive analytics expert Eric Siegel, Co-Founder & CEO, Gooder AI, machine learning (ML) projects go astray because their stakeholders focus on the technological fireworks — the “rocket science” of predictive models. But Siegel argues that this approach zooms past the groundwork any viable business endeavor must lay to improve its chances of a successful launch.

In this video, Siegel walks through bizML, his framework for clarifying your ML goal and how you’ll measure it, before digging into the science.

bizML is a business practice for running machine learning projects successfully through to deployment. The goal is to enforce deep collaboration between data scientists and business stakeholders from the project’s beginning to end.

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