26-28 November, 2019, Vilnius

Regular Prices End in:

Day(s)

:

Hour(s)

:

Minute(s)

:

Second(s)

SCHEDULE

Workshops (November 26)

The exact venue of each workshop will be announced on 19 November. Workshops will be held at 2 different venues: Crowne Plaza VIlnius (M. K. Čiurlionio str. 84, Vilnius, Lithuania) or Panorama Hotel (Sodu str. 14, Vilnius).

You can register for 1 full-day workshop.
Have your ticket but didn’t register to the workshop? Register here.

Time: 10:00 – 17:30

Doors opens at 9:30.

Lunch Break is between 13:15 and 14:15.

More workshops are yet to come!

1st Conference Day (November 27)

Venue: Multikino (Ozo str. 18, LT–08243 Vilnius, Lithuania)

Time Hall 5 Hall 6 Hall 1 Hall 2
08:00 - 09:00 Registration
09:00 - 10:00
OPENING KEYNOTE:
A Practical-ish Introduction to Data Science
Mark West
Bouvet Norge AS
Hall 5
10:10 - 10:55 Secure IoT Command, Control, and Exfil with Apache MiNiFi Andy
Andy LoPresto
Cloudera
Dataflow
IoT Ingest
MiNiFi
Hall 5
More Than a Query Language: SQL in the 21st Century
Markus Winand
winand.at
SQL
Databases
Hall 6
The Creative Side of AI: Product Name Generation
Kathrin Melcher
KNIME
LSTM
Text Generation
Deep Learning
Hall 1
TBA
Hall 2
10:55 - 11:20 Morning Break
11:20 - 12:05 Deconstructing Deep Learning
Mark West
Bouvet Norge AS
Deep Learning
TensorFlow
Keras
Hall 5
Computational Propaganda - How Algorithms Influence our Decisions
Pawel Rzeszucinski
Codewise
Bots
Misinformation
Hall 6
Stream Processing for Analysts with Flink and Nussknacker
Maciek Próchniak
TouK
Stream Processing
GUI
Analysis
Hall 1
Predicting Hotel Cancellations with Machine Learning
Michael Grogan
MGCodesandStats
Python
Time Series
Machine Learning
Visualizations
Hall 2
12:15 - 13:00 Are You Sure about That?! Uncertainty Quantification in AI
Florian Wilhelm
inovex GmbH
Uncertainty Quantification
Deep Learning
Gaussian Processes
Bayesian Methods
Hall 5
Data Discovery with Amundsen
Gerard Toonstra
Coolblue B.V.
Data Discovery
Data Lineage
Hall 6
How Can Artificial Intelligence use Big Data for Translating Documents?
John Ortega
New York University
Translation
Data Science
Machine Learning
Hall 1
Machine Learning Engineering
Paweł Zawistowski
Adform
Machine Learning
Ad Tech
RTB
Hall 2
13:00 - 14:00 Lunch Break
14:00 - 14:45 From Spark to Elasticsearch and Back - Learning Large Scale Models for Content Recommendation
Sonya Liberman
Outbrain
Machine Learning
Spark
Recommender System
Elasticsearch
Hall 5
The Future of Traditional Shopping Driven by Customer Centric Approaches
Santiago Cabrera-Naranjo
Teradata Corporation
Deep Learning
Video Analytics
Web Analytics
Hall 6
Big Data Information Architecture for AI
Toby Woolfe
IBM
Watson
Artificial Intelligence
Hall 1
A Game Theory Approach for Data Driven Business Decisions: Use Case in Portfolio Optimization
Jose Maria Torres Bruna
Telefonica S.A.
Game Theory
Portfolio Optimization
Business Decisions
Hall 2
14:50 - 15:35 (Un)ethical Artificial Intelligence: How to Keep the AI Fair for Everyone
Dovydas Čeilutka
Vinted
Data Science
Machine Learning
Ethics
Hall 5
Big Data Legal Issues. GDPR and Contracts
Anton Tarasiuk
Legal IT Group
GDPR
Personal Data
Data Analysis Agreements
Hall 6
Routing Billions of Events a Day: How we Do Routing in Schibsted
Carlos Manuel Duclos-Vergara
Schibsted
Routing
Kafka
Hall 1
Knowledge and AI Powering Microsoft & Office 365 Products
David Gorena Elizondo
Microsoft
Office 365
Artificial Intelligence
Microsoft Search
Hall 2
15:35 - 15:55 Afternoon Break
15:55 - 16:40 Optimize your Data Pipeline without Rewriting it
Magnus Runesson
Tink
Data Pipeline
Hall 5
Real-Time Data Streaming with Azure Stream Analytics
Alexander Slotte
Excella
Stream-processing
Real-time analytics
Data-pipelines
Hall 6
Chat Bot building story - The good, the bad and the unexpected
Kris van der Mast
VaHa
Bots
NLP
Hall 1
Turning a Wasting into a Learning Culture - Combining NLP and Neural Networks to truly Understand and Predict Customers' Behaviour
Stefan Reiser
LINK Institute
Customer Analysis
Data Science
Predictive Analytics
Hall 2
16:50 - 19:00
Special movie session for BIG DATA Europe community
TBA

2nd Conference Day (November 28)

Venue: Multikino (Ozo str. 18, LT–08243 Vilnius, Lithuania)

Time Hall 5 Hall 6 Hall 1 Hall 2
08:00 - 09:00 Registration
09:00 - 10:00
OPENING KEYNOTE:
TBA
Hall 5
10:10 - 10:55 Embedded Analytics through Data API or What Big Companies are Hiding from You
Dionizas Antipenkovas
Peekdata.io
Schema less Data API
Embedded Analytics
Hall 5
TBA
Hall 6
Practical Usage of AI in Cybersecurity
Ilia Kolochenko
ImmuniWeb
Artificial Intelligence
Cybersecurity
Application Security
Hall 1
TBA
Hall 2
10:55 - 11:20 Morning Break
11:20 - 12:05 Overview of Generative Adversarial Networks (GANs)
Jakub Langr
Yepic
GANs
Generative Machine Learning
Hall 5
Actionable Insights with Real-time Streaming Analytics of Customer Reviews
Daniel Wrigley
SHI GmbH
High Load
Machine Learning
Hall 6
Practical Data Science - How to Track your Development Process with DVC
Mark Keinhoerster and Tim Sabsch
Codecentric AG
DVC
TensorFlow
Keras
Hall 1
Data Science at PMI - The Tools of The Trade
Michał Dyrda
Philip Morris International
CI/CD
Best Practices for Data Science
Hall 2
12:15 - 13:00 Best Practices for Building AI Datasets
Bradley Arsenault
Electric Brain Software Corporation
Data Collection
Datasets
Machine Learning
Hall 5
Making Data Scientists Productive in Azure
Valdas Maksimavičius
Cognizant
Azure
Databricks
MLflow
Azure ML
Hall 6
Deep Learning at Scale: Distributed Training and Hyperparameter Search for Image Recognition Problems
Michael Shtelma
Databricks
Keras
Horovod
Petastorm
Spark
Databricks
Hall 1
Predicting Player Motivation with Preference Learning
Ahmad Azadvar
Ubisoft
Self Determination Theory
Preference Learning
Hall 2
13:00 - 14:00 Lunch Break
14:00 - 14:45 Big Data Serving: The Last Frontier. Processing and Inference at Scale in Real Time
Jon Bratseth
Verizon Media
Big Data
Machine Learning
Search
Recommendation Systems
Hall 5
Building a Scalable Data Science & Machine Learning cloud using Kubernetes
Murali Paluru
Rancher Labs
Kubernetes
Docker
Containers
Cloud
Hall 6
Predicting the Moment of Birth using Sensor Data in Dairy Cows
Miel Hostens
Utrecht University
Spark
Scala
Dairy Cows
Hall 1
Digital Business: Tomorrow is Already Here
Andy Bitterer
SAP
Data Analytics
Use Cases
Hall 2
14:50 - 15:35 Everything you Wanted to Know about Apache Kafka but you Were too Afraid to Ask!
Ricardo Ferreira
Confluent
Kafka
Stream Processing
KSQL
Messaging
Hall 5
Deep Learning for Lazy People... Neural Architecture Search with Automated Machine Learning
Diego Hueltes
RavenPack
Deep Learning
Automated Machine Learning
Artificial Intelligence
Hall 6
Predicting Cryptocurrency Exchange Rates with Stream Processing, Social Data and Online Learning
Tim Frey
iunera GmbH & Co. KG
Cryptocurrency
Data Science
Machine Learning
Hall 1
Real Time Decision Making in Professionals Sports. From Description to Prediction and Prescription.
Ander Alcon
Olocip
Artificial Intelligence in Football
Hall 2
15:35 - 15:55 Afternoon Break
15:55 - 16:15
Big Data Challenge
16:15 - 17:00
CLOSING KEYNOTE:
TBA
Hall 5