How do talented data science teams at startups manage to waste months building a model in local notebooks, only to find the data their model relies on isn’t actually available at the time of inference in production?
Who should own machine learning?
How do talented data science teams at startups manage to waste months building a model in local notebooks, only to find the data their model relies on isn’t actually available at the time of inference in production?