DataWeek Conference + Expo

Big data has provided the impetus for machine learning (not a new concept) to transcend traditional boundaries. Today companies are utilizing machine learning to exploit and apply insights from the internet of things and traditional ‘small data’ sources alike. Machine learning provides the ability to systematically identify and react to key business events and triggers. But it does not absolve human resources from participation in decision making. 

Using case studies and emerging research we’ll explore the applications and boundaries of machine learning. And provide some guidelines for balancing informed human decision making with machine generated insights. The discussion will include examples of machine learning applications gone right, gone too far and key considerations for determining appropriate applications.