In this Tech Battle, we’ll put Berkeley Data Science Group’s Machine Learning expertise up against Grakn AI’s Hyper-Relational Database, and see who comes out on top! The challenge dataset: Credit and Fraud. In the process, we’ll cover some of the challenges of using blackbox machine learning models, and the techniques used to deal with them. We’ll cover alternatives approaches available with Grakn’s platform–such as rule mining. And, finally, we’ll tell you where we see the future going, and how we envision these two technologies working together to take the industry beyond just Machine Learning and create true Artificial Intelligence.