Building machine learning models is exciting—but proving their business value is where the real impact lies. Whether you’re working on churn prediction, recommendation systems, or fraud detection, understanding how to quantify ROI is essential to earning buy-in, scaling projects, and showing that your work drives results.
In this webinar, Eric Siegel, the CEO at Gooder AI, will show you how to estimate the financial value of a machine learning project from the ground up. You’ll learn how to connect model performance to real-world business outcomes, identify high-ROI project types, and discover strategies for maximizing your influence as a data professional.
Presenter Bio
Eric SiegelCEO at Gooder AI, Founder at Machine Learning Week
Eric is CEO and co-founder of Gooder AI, a platform for maximizing the value of predictive AI projects. He is also the founder of the Machine Learning Week conference series, the author of the bestselling "Predictive Analytics" and "The AI Playbook", and the host of the Dr Data Show podcast. Previously, Eric was a professor at Columbia University and the UVA Darden School of Business.
