26-28 November, 2019, Vilnius

Conference is over! See you next year.

SCHEDULE

Workshops (November 26)

All workshops will be held at Crowne Plaza Vilnius (M. K. Čiurlionio str. 84, Vilnius, Lithuania).

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.

Build a Modern Data Platform in Azure

(SOLD OUT)

Valdas Maksimavičius

Cognizant

Read More »

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
Presentation Video
(Hall 5)
10:10 - 10:55 Data Discovery with Amundsen
Gerard Toonstra
Coolblue B.V.
Presentation Video
Hall 5
The Creative Side of AI: Product Name Generation
Kathrin Melcher
KNIME
Presentation Video
Hall 6
Secure IoT Command, Control, and Exfil with Apache MiNiFi
Andy LoPresto
Cloudera
Presentation Video
Hall 1
The Journey Through Real Estate Price Model Development
Vygantas Butkus
Danske Bank
Presentation Video
Hall 2
10:55 - 11:20 Morning Break
11:20 - 12:05 Deconstructing Deep Learning
Mark West
Bouvet Norge AS
Presentation Video
Hall 5
Predicting Hotel Cancellations with Machine Learning
Michael Grogan
MGCodesandStats
Presentation Video
Hall 6
Computational Propaganda - How Algorithms Influence our Decisions
Pawel Rzeszucinski
Codewise
Presentation Video
Hall 1
Stream Processing for Analysts with Flink and Nussknacker
Maciek Próchniak
TouK
Presentation Video
Hall 2
12:15 - 13:00 Breakthroughs and the Future of (Deep) Reinforcement Learning
Dr. Andreas Bühlmeier
Dr. Bühlmeier Consulting
Presentation Video
Hall 5
Machine Learning Engineering
Paweł Zawistowski
Adform
Video
Hall 6
How Can Artificial Intelligence use Big Data for Translating Documents?
John Ortega
New York University
Presentation Video
Hall 1
Are You Sure about That?! Uncertainty Quantification in AI
Florian Wilhelm
inovex GmbH
Presentation Video
Hall 2
13:00 - 14:15 Lunch Break
14:15 - 15:00 Big Data Information Architecture for AI
Toby Woolfe
IBM
Presentation Video
Hall 5
From Spark to Elasticsearch and Back - Learning Large Scale Models for Content Recommendation
Sonya Liberman
Outbrain
Presentation Video
Hall 6
A Game Theory Approach for Data Driven Business Decisions: Use Case in Portfolio Optimization
Jose Maria Torres Bruna
Telefonica S.A.
Presentation Video
Hall 1
The Future of Traditional Shopping Driven by Customer Centric Approaches
Santiago Cabrera-Naranjo
Teradata Corporation
Presentation Video
Hall 2
15:10 - 15:55 Big Data Legal Issues. GDPR and Contracts
Anton Tarasiuk
Legal IT Group
Presentation Video
Hall 5
Routing Billions of Events a Day: How we Do Routing in Schibsted
Carlos Manuel Duclos-Vergara
Schibsted
Presentation Video
Hall 6
(Un)ethical Artificial Intelligence: How to Keep the AI Fair for Everyone
Dovydas Čeilutka
Vinted
Presentation Video
Hall 1
Knowledge and AI Powering Microsoft & Office 365 Products
David Gorena Elizondo
Microsoft
Presentation Video
Hall 2
15:55 - 16:20 Afternoon Break
16:20 - 17:05 Optimize your Data Pipeline without Rewriting it
Magnus Runesson
Tink
Presentation Video
Hall 5
Turning a Wasting into a Learning Culture - Combining NLP and Neural Networks to truly Understand and Predict Customers' Behaviour
Stefan Reiser
LINK Institute
Presentation
Hall 6
Chat Bot Building Story - The Good, the Bad and the Unexpected
Kris van der Mast
VaHa
Presentation Video
Hall 1
Real-Time Data Streaming with Azure Stream Analytics
Alexander Slotte
Excella
Presentation Video
Hall 2
17:15 - 19:47
Special movie session for BIG DATA Europe community
Ford v Ferrari
(Hall 6)

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:
You can AI like an Expert
Jon McLoone
Wolfram Research Europe Ltd.
Presentation Video
(Hall 5)
10:10 - 10:55 Embedded Analytics through Data API or What Big Companies are Hiding from You
Dionizas Antipenkovas
Peekdata.io
Presentation Video
Hall 5
The Joy of Designing Deep Neural Networks
Bradley Arsenault
Electric Brain Software Corporation
Presentation Video
Hall 6
Migrating Our Data Warehouse to the Cloud
Gerard Toonstra
Coolblue B.V.
Presentation Video
Hall 1
Runtime Modifications of Distributed Big Data AI Models and Its Parameters
Elena Lazovik
TNO
Presentation Video
Hall 2
10:55 - 11:20 Morning Break
11:20 - 12:05 Practical Data Science - How to Track your Development Process with DVC
Mark Keinhoerster and Tim Sabsch
Codecentric AG
Presentation Video
Hall 5
Actionable Insights with Real-time Streaming Analytics of Customer Reviews
Daniel Wrigley
SHI GmbH
Presentation Video
Hall 6
Overview of Generative Adversarial Networks (GANs)
Jakub Langr
Yepic
Presentation Video
Hall 1
Data Science at PMI - The Tools of The Trade
Michał Dyrda
Philip Morris International
Presentation Video
Hall 2
12:15 - 13:00 Best Practices for Building AI Datasets
Bradley Arsenault
Electric Brain Software Corporation
Presentation Video
Hall 5
Making Data Scientists Productive in Azure
Valdas Maksimavičius
Cognizant
Video
Hall 6
More Than a Query Language: SQL in the 21st Century
Markus Winand
winand.at
Presentation Video
Hall 1
Deep Learning at Scale: Distributed Training and Hyperparameter Search for Image Recognition Problems
Michael Shtelma
Databricks
Presentation Video
Hall 2
13:00 - 14:15 Lunch Break
14:15 - 15:00 Building a Scalable Data Science & Machine Learning cloud using Kubernetes
Murali Paluru
Rancher Labs
Presentation Video
Hall 5
Digital Business: Tomorrow is Already Here
Andy Bitterer
SAP
Video
Hall 6
Predicting the Moment of Birth using Sensor Data in Dairy Cows
Miel Hostens
Utrecht University
Presentation Video
Hall 1
Big Data Serving: The Last Frontier. Processing and Inference at Scale in Real Time
Jon Bratseth
Verizon Media
Presentation Video
Hall 2
15:10 - 15:55 Everything you Wanted to Know about Apache Kafka but you Were too Afraid to Ask!
Ricardo Ferreira
Confluent
Presentation Video
Hall 5
Predicting Cryptocurrency Exchange Rates with Stream Processing, Social Data and Online Learning
Tim Frey
iunera GmbH & Co. KG
Presentation Video
Hall 6
Real Time Decision Making in Professionals Sports. From Description to Prediction and Prescription.
Ander Alcon
Olocip
Presentation Video
Hall 1
Better Data Exploration and Visualisation with Elasticsearch and Kibana
Emanuil Tolev
Elastic
Presentation Video
Hall 2
15:55 - 16:20 Afternoon Break
16:20 - 16:40
BIG DATA Conference Europe 2019 Challenge
powered by Samsung
16:40 - 17:25
CLOSING KEYNOTE:
Deep Learning for Lazy People... Neural Architecture Search with Automated Machine Learning
Diego Hueltes
RavenPack
Presentation
(Hall 5)