Speaker Detail

Amy Gershkoff photo

Amy Gershkoff

CDO at Zynga

Biography

Dr. Amy Gershkoff is the Chief Data Officer for Zynga. Prior to joining Zynga, she built and led the Customer Analytics & Insights team at eBay. At eBay, her team created new algorithms to personalize marketing communications and the customer journey throughout the eBay website, generating significant incremental revenue. Previously, she was the Chief Data Scientist for WPP, Data Alliance, where she worked across WPP’s more than 350 operating companies worldwide to create integrated data and technology solutions. She served as the Director of Media Planning at Obama for America for the 2012 campaign, where she was the architect of Obama’s advertising strategy and designed the campaign's analytics systems.

A successful entrepreneur, Gershkoff co-founded Changing Targets Media, an advertising analytics company. Gershkoff has been named one of the nation's "40 under 40" leading entrepreneurs and was featured in the Washington Post as one of the nation’s most prominent innovators. She was also named one of the Top 50 Women to Watch in Tech.

Her articles have appeared in publications such as the Washington Post, San Francisco Chronicle, and Business Insider, and she has been a commentator on NPR, Bloomberg News, ABC, CSPAN, and for various print media outlets including the New York Times.

She holds a Ph.D. from Princeton University.

Related Sessions

Session Name Date Time
Zynga 05 NOV 2015 09:30am - 10:00am

Abstract

Today Big Data has become foundational to nearly every industry on earth including retail, healthcare, manufacturing, telecommunications, energy, financial services, tourism, advertising, entertainment, and government.

As Big Data has become ubiquitous, the need for data scientists has grown exponentially, with demand far outpacing supply. However, the educational infrastructure, for the most part, is not presently set up to produce the kind of data scientists needed by most industries: few academic data science programs exist, and those that do for the most part do not teach the deeper problem-solving skills students need to be successful data science practitioners.

In this talk, I describe how we need to train the workforce differently to set both employees and businesses up for success in the new Era of Big Data.