Amsterdam RAI, Europaplein, Amsterdam, Netherlands

ADS Drinks & Data: Tech Talks in Data Science, AI and Machine Learning

Amsterdam Data Science would like to invite you to a special Drinks & Data event at the Spark + AI Summit that will then be ongoing at the RAI Exhibition Center in Amsterdam.

In collaboration with Databricks and WiTNL we will be aiming to help connect and empower women in Data Science, AI and ML, and their allies.

Tech Talks will focus on highly technical themes and topics to give an in depth view of our speakers’ cutting edge research.

Programme

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18:30 Welcome Drinks & Networking
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19:00 Introduction
by ADS, WiTNL and Databricks
Function
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19:15 Invited Talk #1: TBA
by Clemence J Burnichon
Lead Data Scientist, Depop
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19:50 Invited Talk #2: How to Create a Scalable Machine Learning Pipeline Leveraging Databricks’ Ecosystem
by Adi Polak
Senior Cloud Developer Advocate, Microsoft
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20:25 Invited Talk #3: TBA 
by Laura Hollink
Tenure Track Researcher, Information Access, CWI
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21:00 End

 

Other details

Date: Tuesday 15th October 2019
Time: 18:30-21:00
Location: Amsterdam RAI Exhibition Center

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Registration is free but you must do so in advance through our Meet-up page.
The event will be in English and is open to all.

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Amsterdam Data Science (ADS) accelerates data science research by connecting, sharing and showcasing world-class technology, expertise and talent from Amsterdam on a regional, national and international level. Our research enables business and society to better gather, store, analyse and present data in order to gain valuable insights and make informed decisions.

Women in Tech NL is the Dutch chapter of Women in Tech – Global Movement and it is a global platform with members from 60 countries in the world. Their goal is to bring together Academia, Industry and the Start-Ups, individuals and organisations, women and men, everyone who is dedicated to work towards closing the gender gap in tech.

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We will be taking photos of the event and posting them on the ADS website and social media channels. If you have any questions or concerns, please send an email to info@amsterdamdatascience.nl.