26-28 November, 2019, Vilnius

VENUE: Multikino, Ozo str. 18

Conference Starts In:

Day(s)

:

Hour(s)

:

Minute(s)

:

Second(s)

26-28 November, 2019, Vilnius

VENUE: Multikino, Ozo str. 18

Conference Starts In:

Day(s)

:

Hour(s)

:

Minute(s)

:

Second(s)

Confirmed Talks

Carlos Manuel Duclos-Vergara

Schibsted, Norway

Talk

Routing Billions of Events a Day: How we Do Routing in Schibsted

In this talk Carlos will present how his team in Schibsted have set up a streaming data platform using cloud technologies, Kafka and Kafka streams. Schibsted is a leader in media and online classifieds in the Nordic market, delivering news to most of the population of Scandinavia. The streaming platform aims to simplify data management, providing a single point to manage data streams independently of data types. It includes a data quality solution, a data registration solution and a routing solution. Kafka is used as the backbone of the system and the routing solution is built on top of it. Kafka streams is used downstream to enrich streams

Session Keywords

routing kafka

John Ortega

New York University, USA

Talk

How can Artificial Intelligence use Big Data for Translating Documents?

In this session, John will cover the basics of how to set up modern machine translation systems based on neural and statistical paradigms. He will go through the basic installation and understanding of machine translation concepts.

Session Keywords

big data
data science
machine learning

Sonya Liberman

Outbrain, Israel

Talk

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

Serving tens of billions of personalized recommendations a day under a latency of 30 milliseconds is a challenge. In this talk I’ll share our algorithmic architecture, including its Spark-based offline layer, and its Elasticsearch-based serving layer, that enable running complex models under difficult scale constrains and shorten the cycle between research and production.

Session Keywords

machine learning
recommender system
elasticsearch
spark