October 10-11 | New York, New York
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Thursday, October 11 • 1:40pm - 2:45pm
Panel Discussion: Personalized or Too Personal? How AI and Deep Learning can Create Value-Driven Consumer Experiences - Moderated by Derrick Harris, ARCHITECHT

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Consumers expect companies in the entertainment, retail, and other sectors to understand their wants and needs, but also worry about privacy. AI and deep learning is making recommendation engines more accurate than ever and enabling companies to create personalized experiences, but where do you draw the line? How much data are consumers willing to give up – and should they give up – in exchange for better services and products? How can open source software help drive continued innovation around AI and deep learning for personalization?



Founder and Editor, ARCHITECHT

Jeanne Jang

VP, Head of Innovation Lab, E*TRADE
avatar for Gary Kazantsev

Gary Kazantsev

Head of Machine Learning Engineering, Bloomberg
Gary Kazantsev is the Head of Machine Learning Engineering at Bloomberg, leading projects at the intersection of computational linguistics, machine learning and finance such as sentiment analysis, market impact indicators, statistical text classification, social media analytics, question... Read More →

Panna Pavangadkar

Global Head Engineering - Data, Messaging and Middleware Platform, Bank of America
avatar for Baruch Spier

Baruch Spier

Senior Product Manager, Applied AI, Comcast
For the past three years, I have worked as a product manager with Comcast’s Applied AI team. Specifically, I manage computer vision and machine learning based products for Xfinity Video and Xfinity Home Security customers.

Thursday October 11, 2018 1:40pm - 2:45pm EDT
Auditorium A