Inspiring Big Data Science

We're happy to invite you to our upcoming meetup, a joint hosting with Yarok House of Knowledge.
3x25 minutes fascinating talks about various applications from the industry, given by industry leaders, will span and shed some light about how the hell big data science is applied in practice.

Free registration @ http://bit.ly/2yReEzf

location: Yarok House of Knowledge, Rupin Academic Center,
Emek Hefer Waze: https://waze.to/li/hsv8zfxb1m

17:30-18:00 - meetuping, mingling

18:00-18:25 - Zeevi Michel, Gartner - How a small team in Israel is changing the world leading IT advisory company.

18:30-18:55 - Rotem Yoeli, Athena - Big Data leads to Big Homeland Security Challenges - approaches of solution

19:00-19:25 - Sonya Liberman, Outbrain - From Spark to Elasticsearch and Back - Learning Large Scale Models for Content Recommendation

In details:

Zeevi Michel - How a small team in Israel is changing the world leading IT advisory company.

Abstract: Gartner is a 10B$ comapny with over 15,000 associates in 92 countries. In this talk Zeevi will share how a small Israeli startup managed to convince Gartner, to build and create their real value single global Innovation center in Israel.

bio: Zeevi Michael is a Managing Vice President @ Gartner, as well as the founder and CEO of Senexx.

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Rotem Yoeli - Big Data leads to Big Homeland Security Challenges - approaches of solution

Abstract: Rotem will share Athena's challenges in developing advanced systems for analysis and comprehension of Big Data, including text, images and video, for insight automation, based on Deep Learning and NLP addressing the intelligence and finance fields.

bio: CEO – Athena. Prior to this, Rotem Yoeli was the CEO of Mer Group Security Division.

Sonya Liberman - From Spark to Elasticsearch and Back - Learning Large Scale Models for Content Recommendation

Abstract: Sonya will share how Outbrain, a world leading content recommendations service, uses machine learning to monthly deliver 200 billion personalized content recommendations to hundreds of millions of unique monthly users. She will cover the layers of their algorithmic architecture, including its Spark-based offline layer, and its Elasticsearch-based serving layer that enables running complex models under difficult scale constrains and shortens the cycle between research and production.

bio: Sonya Liberman leads the Personalization team @ Outbrain's Recommendations group.