1:00 - 1:45
Keynote: Digital Transformation Journey
Neil Hoyne, Chief Measurement Strategist, Google
4:50 - 5:30
Panel: Crafting a Career in DATA
Rimma Perotte, Director of Biomedical Informatics, Emergency Medicine at Hackensack University Medical Center
Melissa Soong, Associate Product Manager, Publicis Sapient
Bruno Germansderfer, Product Manager, Google
Michael Sullivan, Lead Product Analyst - Web and Digital, Boston Consulting Group
Greg Bonnette, Senior Director, Data & Analytics at Slalom
2021 DATA Forum
Dec 3, 1:00 - 5:30 EST
Join thought leaders to explore how data and people can be effectively combined to enhance organizational change.
The only certainty in today's tumultuous environment is that the company's who can master the gathering, understanding and application of their data will win. - Neil Hoyne
Chief Measurement Strategist
Neil has served as an analyst, researcher, inventor, lecturer and, in his words, the father of many forgettable slides of glossy funnels and Venn diagrams. A witness to and participant in billion-dollar successes, and instructive failures, all in the pursuit of building indestructible customer relationships through digital media. A key player in the executive rallying cry to be more “data driven.”
As Google’s Chief Measurement Strategist, Neil has had the privilege to lead more than 2,500 engagements with the world’s biggest advertisers. His efforts have helped these companies acquire millions of customers, improve conversion rates by more than 400 percent and generate billions in incremental revenue. Immensely proud of the degrees he’s earned from Purdue University and UCLA, Neil returned to academia in 2018 as a Senior Fellow at the Wharton School of the University of Pennsylvania. His first book, Converted: The Data-Driven Way to Win Customers’ Hearts, will debut in February 2022 published by Penguin Random House. He hopes you like it.
Founder + Director
AI Ethics Lab
Cansu is a philosopher and the founder + director of the AI Ethics Lab, one of the first initiatives focusing exclusively on advising practitioners and conducting multidisciplinary research on the ethics of AI. She is also a research associate professor and the ethics lead at the Institute for Experiential AI at Northeastern University. She has a Ph.D. in philosophy specializing in applied ethics.
Cansu primarily works on ethics of technology, having previously worked on ethics and health. She leads teams of computer scientists, philosophers, and legal scholars to provide ethics analysis and guidance to researchers and practitioners. She also serves as an ethics expert in various ethics, advisory, and editorial boards. Prior to the AI Ethics Lab, she was a lecturer at the University of Hong Kong, and a researcher at the Harvard Law School, Harvard School of Public Health, Harvard Medical School, National University of Singapore, Osaka University, and the World Health Organization. She was listed among the “30 Influential Women Advancing AI in Boston” and the “100 Brilliant Women in AI Ethics”.