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DCAI-SF19

Data Council San Francisco 2019

San Francisco, United States
17 - 18 April 2019
The conference ended on 18 April 2019

Important Dates

Early Bird Deadline
15th February 2019
Regular Bird Deadline
16th March 2019
Abstract Submission Deadline
31st December 2019

About DCAI-SF19

Data Council San Francisco is where data's most influential makers, doers, and 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 and best practices for building data systems, you want to be here. This year Data Council San Francisco 2019 will feature 2 full days of 50+ speakers, 6 Unique Talks, All new content, Small Group Speaker Office Hours, Extensive networking opportunities, Attendees that are highly-technical and much more.

Topics

Data science, Data mining and cloud computing, Data engineering, Data analytics, Machine learning, Deep learning, Machine learning deep learning

Call for Papers

Want to present a talk at our next data science & engineering event? Barcelona, New York, San Francisco or Singapore, the choice is yours! Our event will include hundreds of attendees and +50 other speakers from top data teams at tech, healthcare, finance and media companies. To make each event better than the last, we're welcoming the community to contribute their talk ideas.

Click here to learn about Data Council

Date: Check out Barcelona, New York, San Francisco or Singapore for more date information.

Presentation Time: 30-minute talk + 5 minutes of Q&A

Submission Windows:

  • San Francisco, Annually in April - Talk Submissions close Feb 1st.
  • Singapore, Annually in July - Talk Submissions close June 1st.
  • Barcelona, Annually in Sep - Talk Submissions close July 1st.
  • New York City, Annually in Nov - Talk Submissions close Sep 6st.

What We Look For:

  • Deeply technical data science & engineering or AI content
  • Real-world stories about problems you've solved building data platforms & products
  • Explanations & use-cases of practical machine learning algorithms
  • A focus on open-source over proprietary technologies

Only a limited number of spots are available for each event, so send us your talk idea now. 

https://www.datacouncil.ai/cal...

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