Let’s assume you want to leverage data to improve one of your processes, such as partner benchmarking. Even though it’s one of your top priorities for the year, you have limited resources to spend on partner data collection, segregation, and overall data preparation to do any sort of analysis. And even if you find a […]
In our last article, we introduced Sub-ML use cases and discussed how their number is growing. In this article, we’ll try and understand how purpose built feature stores for solving Sub-ML use cases can help drive more value with data. Data Science as a discipline has seen the kind of evolution that only few others […]
