How a Platform should support Data Science - 2021.AI

A modern data science platform's focus should not be to enable everyone to build machine learning models. Instead, the focus should be on structuring the deployment process, allowing for more transparent and governed models that are usable on all applications across an enterprise. Data Science is often about model development and the process of developing the best working and most efficient model for a given problem. Kaggle competitions share this exact view and suggest that companies submit their challenges so that the world's best data scientists can develop models to solve them. When working with data science in this way, you might end up with the best model in class, and the problem gets solved, but then what?