Netflix’s famous algorithm challenge awarded a million dollars to the best algorithm for predicting user ratings for films. But did you know that the winning algorithm was never implemented into a functional model? Netflix reported that the results of the algorithm just didn’t seem to justify the engineering effort needed to bring them to a production environment. That’s one of the big problems with machine learning. At your company, you can create the most elegant machine...
It’s time for data science to shine. But unfortunately, for many businesses data science advances are still in the future. Despite making big investments in data science teams, many are still not seeing the value they expected. Why?
Data exchange (sharing and compiling data) between industries is on the rise, meaning this trend is set to continue. The sharing of this intelligence represents an opportunity for some companies to better understand their audiences and improve customer experience, and for others to unlock new revenue streams.
The data lab is a separate environment built to allow your analysts and data scientists to figure out the value hidden in your data. The data lab helps you find the right questions to ask and, of course, put those answers to work for your business.