The Myth of the Elusive Insight: How to help your organization define what data-driven success looks like…without the hype!
Vice President, Data & Analytics, Marriott Vacations Worldwide
Greg has a passion for helping navigate the (often messy) reality of what happens after an organization declares itself “data driven, and customer focused.” He is a strong believer in the power of relationship building as a fundamental means of driving the adoption of analytics throughout the business. Greg currently serves as the global Vice President of Data & Analytics for Marriott Vacations Worldwide, a leader in delivering world class vacation experiences through the Sheraton, Westin, and Marriott Vacation Club brands. Here he leads a multi-disciplinary data science and advanced analytics team focused on driving marketing efficiency and improving the customer experience. He has led data science, business intelligence, and customer analytics teams in a variety of industries over the last twenty years, as well as consulting for several non-profits. Greg holds a BA in Business Administration from Queens University of Charlotte and a Master of Science in Decision Analytics from Virginia Commonwealth University. Greg currently resides in Orlando, FL with his wife and two daughters.
Cindy A Crump, Ph.D., CISSP, PMP
Health IT Portfolio Manager, IBA, US Army Medical Research and Development Command
Cindy Crump is a health technology researcher, entrepreneur, and telemedicine subject matter expert with multiple patents and peer-reviewed publications in the fields of data science, and mobile health. A Virginia native, Cindy has a Ph.D. in Health-Related Sciences from Virginia Commonwealth University, her M.A. from Virginia Tech, and B.A. from George Mason University. She holds a Certified Information Systems Security Professional (CISSP) from ISC(2) and a Project Management Professional (PMP) certification from the Project Management Institute (PMI). She supports the US Army Medical Research and Development Command (USAMRDC) and is currently coordinating the Artificial Intelligence in Medical Sciences Task Force. She participates in the Federal Interagency Health Information Technology Research and Development Work Group (HITRD) and is part of the Women in the Network and Information Technology Research and Development (NITRD) community – https://www.nitrd.gov/about/women-in-nitrd/.
Machine Learning Engineer, Digital Platforms USA
An Introduction to Machine Learning with Cloud Applications
Attendees will use Python to work through the full lifecycle of a Machine Learning model build (Data Import/Exploration/Cleaning, Feature Selection, and Model Selection/Validation/Interpretation), on a sample dataset. Then the same exercise will be carried out and compared using readily available resources on Microsoft’s Azure cloud computing service in order to demonstrate some of the remarkable improvements in speed and power that scalable compute and Auto-ML can provide. All code will be shared.