IBM's AutoAI Has The Smarts To Make Data Scientists A Lot More Productive – But What's Scary Is That It's Getting A Whole Lot Smarter

I recently had the opportunity to discuss current IBM artificial intelligence developments with Dr. Lisa Amini, an IBM Distinguished Engineer and the Director of IBM Research Cambridge, home to the MIT-IBM Watson AI Lab. Dr. Amini was previously Director of Knowledge & Reasoning Research in the Cognitive Computing group at IBM's TJ Watson Research Center in New York. Dr. Amini earned her Ph.D. degree in Computer Science from Columbia University. Dr. Amini and her team are part of IBM Research tasked with creating the next generation of Automated AI and data science. I was interested in automation's impact on the lifecycles of artificial intelligence and machine learning and centered our discussion around next-generation capabilities for AutoAI. AutoAI automates the highly complex process of finding and optimizing the best ML model, features, and model hyperparameters for your data.