Too often, machine learning requires a massive investment of time and terabytes of data before it can deliver meaningful insights. But that doesn't have to be the case. A well-configured machine learning analytics tool can rapidly provide initial results -- a key advantage for developers who can then start using those results to create value.

Too often, machine learning requires a massive investment of time and terabytes of data before it can deliver meaningful insights. But that doesn't have to be the case. A well-configured machine learning analytics tool can rapidly provide initial results -- a key advantage for developers who can then start using those results to create value. To understand this dynamic, companies have to start taking a data approach that embraces the fact that what is driving companies in today's connected world is not data, but insight. And the volume of data being created in today's connected world is not just what powers this insight…but also blocks you from finding it.