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With Marc Ferradou (Dir. Data Science, CNN), Nitya Narasimhan (Dev Relations, Microsoft), Ian Nowland (VP Engg, Datadog), Masha Danilenko (Engg Lead, Insight Data Science), Vadim Semenov (Data Enggr, Datadog), William Falcon (AI Researcher, Facebook), Abe Gong (Founder, Superconductive Health).
Monday, December 02, 2019 at 08:00 AM   $949
Alfred Lerner Hall at Columbia University, 2920 Broadway

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Unique Tracks - 45+ Speakers - 2 Full Days
Data Council New York City 2019

Data Council is the first community-powered data-platforms, science, & analytics event for software engineers, data scientists, deep learning researchers, & technical founders who want to discover tools & insights to build AI-based products.

Talks that keep you Awake!
Our talks are backed by our 100% No Bullshit Guarantee* & delivered by leading data scientists & engineers from top organizations like Facebook, Netflix, Lyft, Salesforce, Colombia University, WeWork, MIT & many more.

Multiple Unique Tracks
This year we are going all in & offering you new unique tracks, but it's a little to early to announce all the details surronding these tracks. Please check back as we get closer to the event date.
Max - 500
Tired of mega-conferences where its hard to interact with people? We are too, so we limit attendees to 500 for each of our events. Our attendees are also highly-skilled data scientists, engineers, analysts & engineering managers.

Born to be Open Source
We believe in Open Source; code, content & mentality. We feature top open source contributors & tools at our talks. Afterwards, we publish all content for the community, for free.

Community Powered
We are a diverse group of geeks, coders, scientists, analysts (& a former astronaut serving your lunch). We care deeply about local data communities, no big $/ sponsors here, just data nerds, like you & I.

Networking that works
Experience our popular "Office Hours" format plus our favored Data Community Party. Through our intentional matching opportunities you'll meet data influencers who will positively impact your career.
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