Why Building End-to-End AI is More Important than Models
Wednesday, June 3, 2020
Everyone wants to be a data scientist and build state of the art Machine Learning models. But for most companies, only a small percentage of models actually go into production. While ML can be used for research and discovery, its true ROI is realized when you make real business decisions autonomously. Kishen describes what to and what not to do when approaching a business problem with an ML lens. He covers steps to take to go from ideation to production and all the fun you can have in between.