The use cases for deep learning seem endless — how do we decide which use cases to invest in? In this talk, I’ll be sharing what I’ve seen in how companies evolve their ML use cases and infrastructure over time. We’ll also go through a small exercise: given a business problem, how to analyze data and evaluate solutions to meet the business requirements and navigate tradeoffs.