27-29 November, Vilnius

Conference about Big Data, High Load, Data Science, Machine Learning & AI

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27-29 November, Vilnius

Conference about Big Data, High Load, Data Science, Machine Learning & AI

Early Bird Ends In:

Day(s)

:

Hour(s)

:

Minute(s)

:

Second(s)

ABOUT THE CONFERENCE

Big Data Conference Vilnius is a three-day 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 40+ international speakers who work in top data-driven companies.

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Join 3 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 450+ participants from various companies that use Big Data in production.

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Select among 9 full-day technical Pre-Conference Workshops.

CONFERENCE PROGRAM

1st Conference Day (Nov 28)

Hall 1 Hall 2 Hall 3
08:00 - 09:00
Registration
09:00 - 10:00
OPENING KEYNOTE:

Winning Ways for Your Visualization Plays
Mark Grundland
Hall 1

10:10 - 10:55
Apache Metron in the Real World - Big Data and Cybersecurity, a Perfect Match
Dave Russell
Hall 1

Cybersecurity
Apache Metron
When To Use Machine Learning: Tips, Tricks and Warnings
Pascal van Kooten
Hall 2

Machine Learning
Python
Crawling the Web at Scale with Elasticsearch
Julien Nioche
Hall 3

Web Crawling
Elasticsearch
StormCrawler
10:55 - 11:20
Morning Break
11:20 - 12:05
Deepmind: Alpha Go to Alpha Zero
Juan Tomas Garcia
Hall 1

Reinforcement Learning
Convolutional Networks
Monte Carlo Tree Search
Anomaly Detection in Telecommunication
Valentina Djordjevic
Hall 2

Data Science
Autoencoders
Isolation Forests
Telecommunications
MySQL Ecosystem in 2018
Laurynas Biveinis
Hall 3

MySQL
MariaDB
Percona
12:15 - 13:00
Productionizing H2O Models with Apache Spark
Jakub Hava
Hall 1

Machine Learning
Spark
Scala
Python
It is about Augmented Intelligence, not Artificial Intelligence
Santiago Cabrera-Naranjo
Hall 2

Human-Computer Symbiosis
Fraud Detection
Working with Outliers and Time Series Shocks
Michael Grogan
Hall 3

Data Science
Python
R
Time Series
Outliers
13:00 - 14:00
Lunch Break
14:00 - 14:45
Docker Data Science Pipeline
Lennard Cornelis
Hall 1

Hadoop
Docker
Git
Docker
Jenkins
Containing the Cambrian Explosion of IoT
Chris Chabot
Hall 2

IoT
Edge Computing
Evidence-Driven Decision Making
Ahmed Elragal
Hall 3

Decision Making Process
14:50 - 15:35
From Monolith to Microservices with Event Sourcing
Joan Viladrosa Riera
Hall 1

Microservices
Architecture
Reinforcement Learning: a Gentle Introduction with a Real Application
Christian Hidber
Hall 2

Machine Learning
Reinforcement Learning
How to Create Data Science Product from Scratch?
Dmytro Bilash
Hall 3

Startups
15:35 - 15:55
Afternoon Break
15:55 - 16:40
Putting the Spark in Functional Fashion Tech Analytics
Gareth Rogers
Hall 1

Spark
AWS
Redshift
Clojure
Deep Learning for Recommender Systems
Oliver Gindele
Hall 2

Recommender Systems
Deep Learning
Tensorflow
TBA
Hall 3

16:45 - 17:30
CLOSING KEYNOTE:

Data Science for Lazy People, Automated Machine Learning
Diego Hueltes
Hall 1

2nd Conference Day (Nov 29)

Hall 1 Hall 2 Hall 3
08:00 - 09:00
Registration
09:00 - 10:00
OPENING KEYNOTE:

The Paradigm Shift to Natural UI
Yariv Adan
Hall 1

10:10 - 10:55
Machine Learning Acceleration using FPGAs in the Cloud
Christoforos Kachris
Hall 1

Machine Learning
Hardware Acceleration
FPGA
Cloud Computing
Production Ready Data-Science with Python and Luigi
Mark Keinhorster
Hall 2

Machine Learning
Luigi
Keras
Fetching Data from the Web
Andrew Svetlov
Hall 3

Web Crawling
Data Cleaning
10:55 - 11:20
Morning Break
11:20 - 12:05
Deploying Large Spark Models to Production and Model Scoring in Near Real Time
Subhojit Banerjee
Hall 1

Machine Learning
Spark
Real Time
GDPR
Post-Blackbox AI
Ulf Schoneberg
Hall 2

Machine Learning
Deep Neural Networks
Employee Dismissal Predictive Analytics
Dmytro Zikrach & Tetiana Gladkykh
Hall 3

Data Science
Human Resources
12:15 - 13:00
Infrastructure for Auto Scaling Distributed System
Kai Sasaki
Hall 1

Hadoop
Presto
Monitoring
Predicting the Extra Virgin Olive Oil Price using Deep Learning Approach
Diego Hueltes
Hall 2

Deep Learning
Agriculture
A Model-Based Recommendation Systems for B2B eCommerce with Clustering and Association Rules Mining
Amir Meimand
Hall 3

E-commerce
Recommendation Systems
Collaborative Filtering
13:00 - 14:00
Lunch Break
14:00 - 14:45
Design Philosophy of Apache Airflow ETL pipelines
Gerard Toonstra
Hall 1

Airflow
ETL
Making Data Scientists Productive in Azure
Valdas Maksimavicius
Hall 2

Data Science
Cloud Computing
Azure
How Does Full-Text Search Work under the Hood
Philipp Krenn
Hall 3

Elasticsearch
Full-Text Search
14:50 - 15:35
Airflow, Spark, EMR - Building a Batch Data Pipeline
Emma Tang
Hall 1

Spark
Airflow
AWS
ETL
Data and Analytics in Production at Scale
Allison Nau
Hall 2

Industry Experience
Production-Grade Data Analytics
Team Management
Machine Learning and Genetics
Luis Voloch
Hall 3

Data Science
Machine Learning
15:35 - 15:55
Afternoon Break
15:55 - 16:40
How to Make Big Data & Data Science Work in Large Enterprises
Mario Meir-Huber
Hall 1

Industry Experience
Racing an Autonous Toy Car from Scratch Powered by Machine Learning
Constant Bridon
Hall 2

Autonomous Vehicles
Data Science Industrialisation
TBA
Hall 3

16:45 - 17:30
CLOSING KEYNOTE:

Machine Learning from Idea to Production
Oliver Zeigermann
Hall 1

CONFIRMED TALKS

WHO’S SPEAKING?

KEYNOTE SPEAKERS

YARIV ADAN

Google, Switzerland

OLIVER ZEIGERMANN

Freelancer, Germany

DIEGO HUELTES

RavenPack, Spain

MARK GRUNDLAND

Functional Elegance, UK

CONFERENCE SPEAKERS

DAVE RUSSEL

Hortonworks, UK

PHILIPP KRENN

Elastic, Austria

VALENTINA DJORDJEVIC

Things Solver, Serbia

JAKUB HAVA

H2O.ai, Czech Republic

CHRISTIAN HIDBER

bSquare, Switzerland

GERARD TOONSTRA

BigData Republic, The Netherlands

CHRIS CHABOT

Resin.io, UK

JULIEN NIOCHE

DigitalPebble, UK

FULL-DAY WORKSHOPS (Nov 27)

Introduction to Deep Learning with TensorFlow

OLIVER ZEIGERMANN

Deep Learning is a special and most promising variant of Supervised Machine Learning. Most recent break-throughs have been fueled by instead of programming a system, you instead use known data to train a system, like you do in deep learning. We will touch classic Neural…

Machine Learning for non-Data Scientist: Smart Decisions Game

TETIANA HLADKYKH & DMYTRO ZIKRACH

The purpose of our workshop “Machine Learning for non-Data Scientist: Smart Decisions Game” is the presentation of a new, game-based, approach to the designing ML systems. During the workshop, participants will play a card game that allows modeling the decision…

Essentials for Apache Hadoop and Hadoop Ecosystem (LT)

ERNESTAS SYSOJEVAS

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 and outlines how to prepare the…

CERTIFIED TRAINING COURSES

Hone your big data tech skills with the world’s leading experts.

Cloudera Administrator Training for Apache Hadoop

Cloudera Data
Analyst Training

Cloudera Developer Training for Spark & Hadoop

TICKETS

Groups of 10+ attendees will receive additional 10% discount. To request the invoice for Full ticket, please contact us at bigdata@dataminer.lt. For purchasing 15+ tickets or to request a Proforma invoice for any ticket(s), find more information here. If you have any other questions, please call +370 618 00 999.

Early Bird price is valid until 26 October. On 27 October, Standart price is 249 Eur, 199 Eur, 329 Eur and 456 Eur accordingly.

Full pass

EARLY BIRD PRICE

456 €
359 €

BEST CHOICE!

  • Workshop ticket
  • Two-day Conference ticket
  • Coffee breaks & lunch
  • Event Date: November 27-29


Price excl. VAT

WORKSHOP

EARLY BIRD PRICE

249 €
189 €

  • One full-day workshop
  • Coffee breaks & lunch
  • Event Date: November 27
     

VAT not applicable

1-DAY CONFERENCE

EARLY BIRD PRICE

199 €
149 €

  • One day of sessions
  • Coffee breaks & lunch
  • Event Date: November 28 or 29

Price excl. VAT

2-DAY CONFERENCE

EARLY BIRD PRICE

329 €
249 €
  • Two days of sessions
  • Coffee breaks & lunch
  • Event Date: November 28 – 29

Price excl. VAT

BECOME A SPONSOR

You are invited to be a part of an exciting event: actively contribute to the success of Big Data Vilnius 2018 Conference, target a specific, high profile market and reinforce your brand’s presence by making yourself known among software testing and quality assurance audience. Do not miss out on the opportunity to be noticed and get involved in this event.

To become a sponsor, please take a look at the available sponsorship plans.

BECOME A VOLUNTEER

We are looking for enthusiastic supporters to help for the upcoming BIG DATA Conference Vilnius 2018 on November 27-29. All accepted volunteers will receive a free ticket for the conference and much more in return. To become a Helper, please fill the registration form.

CALL FOR PAPERS

Become a part of something truly special – speak at the Big Data Conference in Vilnius, Lithuania and engage with Big Data community by sharing your knowledge, experience, thoughts and innovative solutions.

Submissions are welcomed from Developers, IT Professionals, IT Managers, Consultants, Trainers and especially those who would like to experience themselves as a trainers and anyone with interesting experience about Big Data, High Load, Data Science, Machine Learning technologies, tools, approach or solutions.

Read More information or click the button below to fill the form.

THROWBACK TO ’17

Check out the gallery from our previous conference held in November, 2017.
Click here to enter the full gallery.

You'll fall in love with Vilnius!

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OUR UPCOMING CONFERENCES

Multikino

Ozo str. 18, LT–08243 Vilnius, Lithuania

Multikino

Ozo str. 18, LT–08243 Vilnius