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With Marc Ferradou (Dir. Data Science, CNN), Nitya Narasimhan (Dev Relations, Microsoft), Ian Nowland (VP Engg, Datadog), Jerome Nilmeier (Dev Advocate, IBM), Frank McSherry (Chief Scientist, Materialize), William Falcon (AI Researcher, Facebook / NYU), Abe Gong (Founder/CEO, Superconductive).
Tue, Nov 12, 2019 @ 08:00 AM   $1099   Alfred Lerner Hall at Columbia University, 2920 Broadway
 
   
 
 
              

    
 
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Will you join us for Data Council NYC '19?

Data Council New York (https://www.datacouncil.ai/nyc) is where data's most influential makers, doers, & thinkers gather to shape the future of data innovation at every layer of the stack. If you're a technical professional who wants to learn about new tools, architectures & best practices for building data systems, you want to be here.

Now in its 5th edition, his year Data Council NYC '19 will feature:

- 2 days & 40+ insightful talks by leading data scientists & engineers from top companies like Google, Microsoft, Facebook, IBM & many more; as well as leading universities & other institutions.

- 5 unique tracks: Data Engineering & Beyond; Streaming Systems; Future of Data Science; Core Data Science; & Data Organizations & Ethics.

- Extensive networking opportunities at the conference, & at our after-party between conference days.

- Small group Speaker Office Hours following each talk with an opportunity to dive deeper into the subject matter 1:1 with the speaker.

- Connect with our great partner companies during Partner breaks to discover their available data jobs & latest product developments.

Attendees that are highly-technical data scientists, engineers, analysts & technical founders from top tech, media, & finance companies up from the US & beyond. Will you be one of them?

As members of this meetup group & our community, we'd like to extend you a sweet deal to get tickets for $250 lower than our late bird pricing!

To redeem go here: https://www.datacouncil.ai/new-york-city using coupon code: Meetup250 to buy your late bird ticket with a $250 discount (startups, students & non-profits get a separate special deal).
 
 
 
 
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