The event will feature speakers from the Data Science & AI Research (DSAIR) division of AT&T Labs Research & Xandr (former AppNexus).
We will have O'Reilly books & swags to raffle!
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AGENDA
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6:30 - 7:00 Networking, food
7:00 - 7:05 DeDe Paul - Intro to AT&T Labs Research & Xandr
7:05 - 7:20 Emily Dodwell & Ritwik Mitra - From Theory to Practice: A Machine Learning Use Case for Advertising at AT&T
7:20 - 7:35 Cheryl Flynn Brooks - Detecting & Mitigating Bias in Targeted Advertising
7:35 - 7:50 Sam Lee - Reinforcement Learning for Bid Price Optimization
7:50 - 8:05 Laura Yu - Adult Content Classifier for Web Pages
8:05 - 8:20 Subho Majumdar - To Watch or not to Watch: Early prediction of viewer engagement in a TV show using machine learning
8:20 - 9:00 More networking & food
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ABOUT AT&T LABS RESEARCH AND XANDR
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AT&T Labs Research
AT&T Labs Research is a global leader in development & research drawing on an unparalleled 140-year heritage of creation & innovation. Our Data Science & AI Research division is a team of dedicated data scientists using big data technologies to help solve some of AT&Ts toughest problems.
https://about.att.com/sites/labs_research
Xandr
We are a collective with a common purpose: make advertising matter to brands & consumers alike. Leveraging the spirit of innovation that began with Alexander Graham Bell more than 140 years ago & has continued on as a part of AT&Ts legacy, we are uniquely positioned to move the industry forward. With one of the worlds largest collections of digital, film & TV properties via our sister company WarnerMedia, we provide a premium option for advertisers & publishers looking to reach specific audiences at scale in premium & brand-safe environments.
https://www.xandr.com
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CODE OF CONDUCT
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Thank you for helping make this a welcoming, friendly community for all. All attendees should read the full Code of Conduct before participating: https://github.com/WiMLDS/starter-kit/wiki/Code-of-conduct