Big Data Moscow 2018

Big Data, Data Science & AI Conference

 

 


 

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Big Data Moscow 2018

Big Data, Data Science & AI Conference

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ABOUT THE CONFERENCE

Big Data Conference Moscow is a conference with technical talks in the fields of Big Data, High Load, Data Science and Machine Learning.

Conference brings together developers, IT professionals and users to share their experience, discuss best practices, describe use cases and business applications related to their successes.

The event is designed to educate, inform and inspire – organized by people who are passionate about Big Data and Data Exploration. We look forward to seeing you there!

WHY TO ATTEND?

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Meet 30+ international speakers who work in top data-driven companies.

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Join 4 technical tracks that cover the most important and up-to-date aspects of Big Data, including deep learning, real-time stream processing, data science, predictive analytics and cloud.

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Hear carefully selected purely technical and independent content.

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Network with 350+ participants from various companies that use Big Data in production.

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Select among 5 full-day technical pre conference Workshops.

TRACKS

SPEAKERS

WORKSHOPS

ATTENDEES

CALL FOR PAPERS

Have your say - speak at the conference!

Submissions are welcomed from Developers, IT Professionals, IT Managers, Consultants and especially those who would like to experience themselves as trainers.

Read more or fill the form.

BECOME A SPONSOR

Big Data Moscow conference is a great opportunity to meet and network with a thriving, growing and exciting testing community. We invite you to participate in the creation of this unique event through financial contributions and associate your brand with this high-level conference.

To become a sponsor, please take a look at the available sponsorship plans or contact tatjana@bigdatadays.ru.

SPEAKERS

KEYNOTE
SPEAKERS

Miel Hostens

UGhent, Belgium

Pablo Doval

Plain Concepts, UK

Flow Bohl

Bloomberg New Energy Finance, UK

Hilda Kosorus

Runtastic, Austria

Alexey Anikin

IBM, Russia

Balazs Ferenc Gaspar

Cloudera, Hungary

Vadim Chelyshkov

Microsoft, Russia

Andrei Bashchenko

Russian Post, Russia

Nelson Arapé

Spotify, Sweden

Vladimir Shtanko

Rambler Group, Russia

CONFERENCE SCHEDULE (October 11)

Simultaneous interpretation

Big Data Moscow – the only international conference of that type that provides simultaneous interpretation from Russian to English and from English to Russian.

*Conference program might change.
Simultaneous interpretation will be provided in Hall 1, Hall 2.

Hall 1 Hall 2 Hall 3 Hall 4
09:00 - 09:50
Registration
09:50 - 10:00
Conference Opening
10:00 - 10:55
OPENING KEYNOTE:

A Novel Approach to Data Mining And Prediction Modelling in Dairy Cows  (ENG)
Miel Hostens
Hall 1

11:05 - 11:50
Managing High Load on Low Budget (ENG)
Máté Marjai
Hall 1

Look-a-likes – How Internet Giants Reach the Most Relevant Users at Scale (ENG)
Moran Gavish
Hall 2

Data Analytics Platform or How to Make Data Science in a Box Possible (ENG)
Krzysztof Adamski
Hall 3

Spring RabbitMQ for High load (ENG)
Martin Toshev
Hall 4

11:50 - 12:05
Coffee Break
12:05 - 12:50
Real-Time Data Processing at RTB House – Architecture & Lessons Learned (ENG)
Bartosz Łoś
Hall 1

Azure Databricks – it’s more than Apache Spark on steroids (RU)
Vadim Chelyshkov
Hall 2

Lie to Me… or Demystifying Spark Accumulators (RU)
Sergey Zhemzhitsky
Hall 3

Simulation-Driven Digital Twins (RU)
Pavel Bruk
Hall 4

12:50 - 14:00
Lunch Break
14:00 - 14:45
Multi-tenant Deep Learning and Streaming as-a-Service with Hopsworks (ENG)
Theofilos Kakantousis
Hall 1

Anomaly Detection in Telecommunications (ENG)
Valentina Djordjevic
Hall 2

Machine learning in the film industry (RU)
Vladimir Shtanko
Hall 3

Analysis of the effectiveness of advertising videos using deep learning methods and large data (RU)
Mark Popov
Hall 4

14:55 - 15:40
The events must flow: lessons learnt from evolving the Spotify’s event delivery system (ENG)
Nelson Arapé
Hall 1

Data Science for Industrial Sector R&D and Industrial Solutions (RU)
Alexey Anikin
Hall 4

Geolocation Role in Big Data Concept (RU)
Victor Rudoy
Hall 3

Holistic Customer Profiles: Bring the Meanings Back to Marketing Data (RU)
David Vachadze
Hall 2

15:40 - 16:00
Coffee Break
16:00 - 16:45
Data Orchestration with Apache Airflow (ENG)
Gerard Toonstra
Hall 1

Artifitial Intelligence in the field of Business Travel. IT Products development using Big Data Analysis (RU)
Varvara Novozhilova & Jakov Goldfarb
Hall 2

Geospatial Analytics at Scale (ENG)
Milos Milovanovic
Hall 3

Predictive analytics in the management of (informational)-technological landscape (RU)
Nikita Kardashin
Hall 3

16:55 - 17:40
The Future of Data Visualization (ENG)
Flow Bohl
Hall 1

Embracing Polyglot Persistence Via CQRS (RU)
Vladik Khononov
Hall 2

Machine Learning for Agriculture today: Agronomist 2.0 is coming (RU)
Anna Kudinova
Hall 3

Take Control over Your KPIs (ENG)
Hilda Kosorus
Hall 4

17:50 - 18:35
Case Study: Big Data Platform for Russian Post on Hadoop stack (RU)
Andrei Bashchenko
Hall 1

Introducing an integrated Data Science approach for the Enterprise (ENG)
Balazs Ferenc Gaspar
Hall 2

Functional Programming in Serverless World (ENG)
Wojciech Gawroński
Hall 3

Realtime Blockchain Analytics (RU)
Aleksey Studnev
Hall 4

18:40 - 19:30
CLOSING KEYNOTE:

A look at the past and future of AI (ENG)
Pablo Doval
Hall 1

19:30 - 21:30
Networking

WORKSHOPS

The workshops will take place on Wednesday, October 10, the day before the Conference, at Deworkacy.
Simultaneous interpretation will not be provided during workshops.
Each participant should be equipped with a personal computer.

#1

Essentials for Apache Hadoop and Hadoop Ecosystem
(RU)

 

Ernestas Sysojevas

DATA MINER, Lithuania

Learn how Apache Hadoop addresses the limitations of traditional computing, helps businesses overcome real challenges, and powers new types of big data analytics. This workshop introduces Apache Hadoop ecosystem…..

 

#2

Traffic Management
with Elixir
(ENG)

 

Máté Marjai

The Payment Works, Ireland

Learn the basics of traffic management (literally and figuratively) with a fun day of Elixir! We’ll get familiar with the syntax of Elixir, how to get started in general with a new language. Along the way we’ll touch on the origins of Elixir, and basics of Erlang OTP…..

 

#3

Time Series
Forecast
(ENG)

 

Valentina Djordjevic

Things Solver, Serbia

This workshop will cover basic concepts of time series analysis, like time series decomposition, stationarity analysis, trend and seasonality smoothing. Afterwards, some of the most popular algorithms used for time series forecasting will be ….

 

#4

Generating Business Value from A/B Testing
(ENG)

 

Hilda Kosorus

Runtastic, Austria

A/B testing can be a highly valuable tool when making data-driven business decisions. It is easy to use and efficient in terms of resources. However, it can also be very easily misused and, when not conducted properly, resources invested in experim…

 

#5

Amazon SageMaker
in Practice
(ENG)

 

Wojciech Gawroński,

Paweł Pikuła,

Sebastian Feduniak

Pattern Match, Poland

At re:Invent in 2017 Amazon announced new service – SageMaker, that allows you to build, train and deploy ML models at any scale. Sounds fantastic, but is it true? We challenged the marketing taglines and decided to test a specific use case which…

 

You'll fall in love with Moscow

 
DISCOVER

OUR UPCOMING CONFERENCES

DevOps Pro Moscow 2018 on November 13-15 | Conference for Developers and IT Professionals | www.devopspro.ru

TestCon Moscow 2019 on April 2-4 | Software Testing and QA Conference | www.testconf.ru

SPONSORS

MEDIA PARTNERS

Red October

Bersenevskaya Naberezhnaya 6с3
Moscow, Russia, 119072

Deworkacy