Too Long; Didn't Read
Machine Learning powers the top 1% of the most valuable organizations in the world. 99% of enterprises struggle to productionalize ML, even with the possession of hyper-specific datasets and exceptional data science departments. There are three stages to the above process: Experimenting & PoCs, conversion, productionalization and maintenance. Each of these stages requires different skills, tooling, and organization. ML is inherently a process that can be broken down into individual, concrete steps (e.g. preprocessing, training, evaluation, evaluating, etc)