Inspiring innovation within your business through a data-driven culture, building a world-class team, and utilizing the latest innovations to solve some of the toughest problems facing corporate America can seem like a scary task to take on, but it doesn't have to be!
Don't panic about your data science strategies, join us at Data Science New York (DSNY) on January 23-24, 2019!
SPECIAL OFFER - data Science leaders can join us for only $699 when you register by Friday, November 23 with promo code KD699!
| REGISTER NOW FOR ONLY $699 WITH PROMO CODE 'KD699'
DSNY is a unique peer-to-peer event that will connect you directly with other data and analytics leaders to address the challenges you are faced with daily in your role as a data scientist.
Join other senior leaders from top companies, including:
- Head of AI, 7-Eleven
- Global Head of data Science and Analytics, Bose Corporation
- VP - Head of AI ML Predictive Modelling, Comcast
- VP of Data, Daily Harvest
- Head of data Science and Artificial Intelligence, Workplace Solutions, Fidelity Investments
- Head of data Products, Forbes
- Chief Commercial data Scientist, General Electric
- Head of data Science & Demand Generation & Marketing, Getty Images
- Chief data Scientist, HCA Healthcare
- VP - AI and Machine Learning, LG Electronics
- Chief data Science Officer, Plated
- VP of data Science, Prudential
- Head of Digital Analytics, Samsung Electronics America
- Director of Cyber Analytics & data Science, TIAA
- VP data Science, Talkspace
- Chief Strategy Division Cybersecurity, United States Department of Defence
- Vice President, Applied data Science, UnitedHealth Group
- Director of data Science, Wayfair
Don't be left out! Add your name to the list and register now for only $699 with promo code KD699!
We look forward to seeing you in New York!
The Data Science New York team
Corinium Global Intelligence
*$699 promotion is available to data science professionals only. This offer is not available for vendors, consultants, and employees of companies that offer solutions to data and/or analytics professionals.
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