For many companies, what comes after big data is operational business models that use big data to repeatedly update existing products or create new ones.
But it's not easy to achieve success with predictive modeling, machine learning and decision-making. So, data science and related tools vendors continue to build out their platforms to confront the challenges the new machine learning models present.
Machine learning platforms can bring the lone data scientist into the overall workflow. Updates to tooling also let that data scientist use familiar development interfaces.