For data-driven organizations, machine learning offers powerful techniques for unlocking the value of data and enabling artificial intelligence applications. But for many organizations, there are obstacles on the road to machine learning: a skills shortage and the ability to build and deploy models quickly.
Without tools that automate and simplify machine learning processes, organizations can be stymied by a lack of data scientists who understand the complexities of building intelligent systems with the ability to learn from data and improve over time. These aren’t skills that the typical IT shop has in abundance. . . yet.
