ABOUT THIS EPISODE
The biggest hurdle for data science teams isn't building the model; it's proving its dollar value. This presentation shows how a dental group could translate a no-show prediction model into a clear business case worth $$$
It's about shifting the conversation from abstract metrics to tangible ROI.
Henry Castellanos is a data scientist extraordinaire. He goes beyond establishing a strong technical performance for his ML models to also maximizing their business value. Let this sink in: Most data scientists don't do that – most ML projects don't plan and sell predictive AI deployment according to the the explicit business value.
Interestingly, Henry points out that using Gooder AI (www.gooder.ai) to do this even bucks up his own confidence in his models and their business value.
Listen to Henry's presentation to see exactly how to bridge the gap from ML to real-world value.
To view this presentation as a video, go to: https://youtu.be/BT-GnnuN3jA
