SCHEDULE

THU, 16th November Conference Day

(Schedule and speakers subject to change)

09:00

Registration, please be on time.

TRACK 1 - THEATRE 25

TRACK 2 - THEATRE 19

TRACK 3 - THEATRE 18

TRACK 4 - THEATRE 20

09:55

TRACK 1 - THEATRE 25

Business

Welcome

10:05

TRACK 1 - THEATRE 25

Business

Artificial Intelligence and Data-centric businesses

Óscar Méndez

10:35

Break

10:45

TRACK 1 - THEATRE 25

Business

Big Data, Analytics, and Tax Fraud

D. José Borja Tomé

11:20

Coffe Break

11:30

TRACK 1 - THEATRE 25

Business

Roundtable – Thursday

Óscar Méndez

Paco Nathan

D. Jose Borja Tomé.

12:00

Break

12:15

TRACK 1 - THEATRE 25

Technical

Human-in-the-loop: a design pattern for managing teams which leverage ML

Paco Nathan

TRACK 2 - THEATRE 19

Technical

Big Data security: Facing the challenge

Carlos Gomez

TRACK 3 - THEATRE 18

Business

How ICIJ cracked the Panama and the Paradise Papers

Mar Cabra

TRACK 4 - THEATRE 20

Technical

Scaling to billions of Edges in a Graph Database

Max Neunhoeffer

12:45

Break

12:55

TRACK 1 - THEATRE 25

Technical

Playing Well Together: Big Data beyond the JVM w/Spark etc

Holden Karau

TRACK 2 - THEATRE 19

Technical

Elasticsearch (R)Evolution — You Know, for Search…

Philipp Krenn

TRACK 3 - THEATRE 18

Technical

Disaster Recovery for Big Data

Carlos Izquierdo

13:30

Break

13:40

TRACK 1 - THEATRE 25

Technical

Keeping your Enterprise’s Big Data Secure

Owen O'Malley

TRACK 2 - THEATRE 19

Technical

Deep reinforcement learning : Starcraft learning environment

Gema Parreño Piqueras

TRACK 3 - THEATRE 18

Technical

Apache Spark vs rest of the world – Problems and Solutions

Arkadiusz Jachnik

TRACK 4 - THEATRE 20

Technical

Relational is the new Big Data

Miguel Ángel Fajardo

Daniel Dominguez

14:10

Break

14:30

TRACK 1 - THEATRE 25

Technical

Why big data didn’t end causal inference

Totte Harinen

TRACK 2 - THEATRE 19

Technical

Building Google’s ML Engine from Scratch on AWS with GPUs, Kubernetes, Istio, and TensorFlow

Chris Fregly

TRACK 3 - THEATRE 18

Technical

Fishing Graphs in a Hadoop Data Lake

Jörg Schad

Max Neunhoeffer

TRACK 4 - THEATRE 20

Technical

End of the Myth: Ultra-Scalable Transactional Management

Dr. Ricardo Jimenez-Peris

15:00

Break

15:10

TRACK 1 - THEATRE 25

Technical

AI: The next frontier

Amparo Alonso

TRACK 2 - THEATRE 19

Technical

Towards biologically plausible deep learning

Nikolay Manchev

TRACK 3 - THEATRE 18

Technical

Towards an Unified API for Spark and the IIoT

Ángel Conde

TRACK 4 - THEATRE 20

Technical

Tuning Java Driver for Apache Cassandra

Nenad Bozic

15:40

Break

15:55

TRACK 1 - THEATRE 25

Technical

Big Data, Big Quality?

Irene Gonzálvez

TRACK 2 - THEATRE 19

Technical

Deriving Actionable Insights from High Volume Media Streams

Peter Thygesen

Jörn Kottmann

TRACK 3 - THEATRE 18

Technical

NRT data enrichment and ingestion with NiFi and Spark

Dawid Wȩckowski

Bartosz Woźniak

TRACK 4 - THEATRE 20

Technical

Spark Streaming + Kafka 0.10: an integration story

Joan Viladrosa Riera

16:25

Break

16:35

TRACK 1 - THEATRE 25

Technical

Foundations of streaming SQL – learn to love stream & table theory

Tyler Akidau

TRACK 2 - THEATRE 19

Technical

Engineering analytics for predictive health applications

Arvind Hosagrahara

TRACK 3 - THEATRE 18

Technical

Make the elephant fly, once again

Sourygna Luangsay

17:05

Break

17:20

TRACK 1 - THEATRE 25

Technical

End-to-End “Exactly Once” with Heron & Pulsar

Ivan Kelly

TRACK 2 - THEATRE 19

Technical

Shipping ML to production: From Data Scientist to End User

Mateo Álvarez

Raul de la Fuente Lopes

TRACK 3 - THEATRE 18

Technical

Scaling a backend for a big data and blockchain environment

Rafael Ríos Moya

TRACK 4 - THEATRE 20

Technical

Streaming analytics better than batch – when and why

Dawid Wysakowicz

Adam Kawa

17:50

Break

18:00

TRACK 1 - THEATRE 25

Technical

Deep Learning in Spark with BigDL

Petar Zecevic

TRACK 2 - THEATRE 19

Technical

Data science for lazy people, Automated Machine Learning

Diego Hueltes

TRACK 3 - THEATRE 18

Business

Video recommendations and Machine Learning

Jeronimo Macanas

FRI, 17th November Conference

(Schedule and speakers subject to change)

09:30

Registration, please be on time

TRACK 1 - THEATRE 25

TRACK 2 - THEATRE 19

TRACK 3 - THEATRE 18

TRACK 4 - THEATRE 20

10:00

TRACK 1 - THEATRE 25

Business

The impact of Big Data and applied analytics along the value chain

Guy Peri

10:30

Break

10:40

TRACK 1 - THEATRE 25

Technical

Turn GDPR’s accountability principles into an added-value for your business

Andy Petrella

TRACK 2 - THEATRE 19

Technical

Causal Consistency For Large Neo4j Clusters

Jim Webber

TRACK 3 - THEATRE 18

Technical

Tips & Tricks for better Spark applications

Petar Zecevic

TRACK 4 - THEATRE 20

Technical

Feature selection for Big Data: advances and challenges

Verónica Bolón-Canedo

11:10

Break

11:15

TRACK 1 - THEATRE 25

Business

Roundtable – Friday

Óscar Méndez

Andy Petrella

Jim Webber

11:45

Brunch

12:00

TRACK 1 - THEATRE 25

Technical

The Data Errors we Make

Sean J. Taylor

TRACK 2 - THEATRE 19

Business

Monitoring world geopolitics through Big Data

Tomasa Rodrigo

Alvaro Ortiz

TRACK 3 - THEATRE 18

Technical

A Deep Learning use case for water end use detection

Roberto Díaz

José Antonio Sánchez

TRACK 4 - THEATRE 20

Business

More people, less banking: Blockchain

Salvador Casquero Algarra

12:30

Break

12:40

TRACK 1 - THEATRE 25

Technical

Unified Stream Processing at Scale with Apache Samza

Jake Maes

TRACK 2 - THEATRE 19

Technical

AI in VR

Michael Ludden

TRACK 3 - THEATRE 18

Technical

Apache MXNet Distributed Training Explained In Depth

Viacheslav Kovalevskyi

TRACK 4 - THEATRE 20

Business

Bayesian inference and big data: are we there yet?

Jose Luis Hidalgo

13:10

Break

13:20

TRACK 1 - THEATRE 25

Technical

Flink-Kudu connector: an open source contribution to develop Kappa architectures

Rubén Casado

Nacho García

TRACK 2 - THEATRE 19

Technical

Training Deep Learning Models on Multiple GPUs in the Cloud

Enrique Otero

TRACK 3 - THEATRE 18

Technical

Vehicle Big Data that Drives Smart City Advancement

Mike Branch

TRACK 4 - THEATRE 20

Technical

Trading at market speed with the latest Kafka features

Iñigo González

13:50

Break

14:00

TRACK 1 - THEATRE 25

Technical

Full Stack Analytics on Amazon Web Services

Ian Robinson

TRACK 2 - THEATRE 19

Technical

The Analytic Platform behind IBM’s Watson Data Platform

Luciano Resende

TRACK 3 - THEATRE 18

Technical

The future of Hadoop security and its evolution

Alejandro González

TRACK 4 - THEATRE 20

Technical

State of the art time-series analysis with deep learning

Javier Ordóñez

14:30

Break

14:40

TRACK 1 - THEATRE 25

Technical

Presentation: Boost Hadoop and Spark with in-memory technologies

Akmal Chaudhri

TRACK 2 - THEATRE 19

Technical - talkReduce()

Attacking Machine Learning used in AntiVirus with Reinforcement

Rubén Martínez

TRACK 2 - THEATRE 19

Technical - talkReduce()

Streaming analytics @ ING

David Vaquero

TRACK 3 - THEATRE 18

Technical - talkReduce()

A matrix approach to the redundancy of vectorial databases

D. Ángel Luis Muñoz

D. Mario Fernández Rodríguez

TRACK 3 - THEATRE 18

Technical - talkReduce()

Unbalanced data: Same algorithms different techniques

Eric Martín Cañete

TRACK 4 - THEATRE 20

Technical - talkReduce()

Improvement of team management using chatbots in a natural l

Javier de la Rosa

Victor Dertiano

TRACK 4 - THEATRE 20

Technical - talkReduce()

Meme Index. Analyzing fads and sensations on the Internet

Miguel Romero