Machine learning on Hadoop provides the ability to streamline and systematize procedures, optimize pricing, and reduce fraud and overall risk. This webinar will help you to better understand how the use of machine learning on big data is helping institutions understand customer sentiments, detect and manage fraud, and several additional insurance use cases that can benefit from the applicability of big data analytics.
Patricia Harman, Editor-in-Chief at Claims Magazine
Cindy Maike, GM, Insurance Industry Solutions at Hortonworks
Alex Gray, PhD., Co-founder and CTO at Skytree
Patti Harman is the editor-in-chief of Claims magazine and a contributing editor to the PropertyCasualty360.com channel. Previously she spent more than 18 years covering the disaster restoration industry as the editor-in-chief of a monthly magazine.
Cindy Maike is GM of Insurance at Hortonworks, and is responsible for the center of excellence for insurance and the go-to-market strategy for the industry. She has over 25 years of finance, consulting and advisory services experience in the insurance industry assisting clients globally with their business and IT strategy with a specific focus on the business strategy and the usage of analytics to drive results.
Dr. Gray is CTO at Skytree and Associate Professor in the College of Computing at Georgia Tech. His work has focused on algorithmic techniques for making machine learning tractable on massive datasets. He began working with large-scale scientific data in 1993 at NASA’s Jet Propulsion Laboratory in its Machine Learning Systems Group. He recently served on the National Academy of Sciences Committee on the Analysis of Massive Data, as a Kavli Scholar, and a Berkeley Simons Fellow, and is a frequent advisor and speaker on the topic of machine learning on big data in academia, science, and industry.