Abstract: 

Business analysts and data scientists alike spend as much as 80 percent of their time finding, cleaning, and reorganizing data. In this session, we will lead you through a tested workflow on how to prepare data for machine learning. You will leave with a handy practitioner’s guide that outlines a repeatable process to help you going forward. Then, using DataRobot Paxata, the industry leading data preparation tool, we will demonstrate point-and-click ML-assisted data prepping functionality that can help you significantly reduce the amount of time you spend getting your data ready for models.

Bio: 

Cassidy Hilton is a seasoned strategist and tactician who has served in many capacities within the AI and technology space for nearly 10 years. His skillsets and experience include presales solutions, data, and machine learning engineering, senior management, and GTM strategy. He has a passion for engineering and originating data which fuels his efforts as a strategist around AI consumption. Cassidy has been involved in hundreds of projects leveraging AI which have resulted in a cutting-edge understanding of organizations’ customers, suppliers, and partners. Cassidy is a proponent of autoML availability and as such, he continually emphasizes AI interoperability and development across every organization.