Apache Kylin and Use Cases by Luke Han

MLflow: Infrastructure for a Complete Machine Learning Life.

Infinite Topic Backlogs with Apache Pulsar by Ivan Kelly

Using Big Data to Assist with Medical Report Coding by John Ortega

Blockchain, more than just a database technology by Roberto García

Man shall not live by data science alone by Alejandro Vidal & Marc

Teaching computers to see and how this impacts your business

Ensuring sustainable food production by David Talaga

Machine learning for women’s closets by Gabriel Aldamiz-Echevarria

Extreme coordination with artificial intelligence by Pau Agulló

Scaling a data function in a complex organisation

Big Data Governance challenges by Andrés García-Rodeja

What do F1 Racing, Energy and Healthcare have in common?

Three Advanced Analytics use cases in the travel industry

The year of the graph: do you really need a graph database?

Make the right business decisions with Location Intelligence

Recommendation systems using holistic customer insights

Satellite Imagery: Some of the biggest and most useful data

An image is worth a thousand words by David Lopez

Building a Data Science team from scratch by Catherine Zhou

Charting Zero Latency Future with Redis by Manish Gupta

Real time decision making in professional football.

Mapping Of Water Bodies Using Algorithms Of Big Data Analytics

Machine Learning on The Edge by Pablo Peris & Carlos de Huerta

Video Data Ocean Analysis applied to OSINT

Journeys from Kafka to Parquet by Gábor Hermann

Powering up financial institutions with distributed systems

Stream processing for analysts with Flink and Nussknacker

From Zero to Auto Machine Learning with Google by Pablo Carlier

Data quality as a key factor in Big Data Government strategies

KSQL – The Open Source SQL Streaming Engine for Apache Kafka

Opera: a digital transformation journey to best PV_O&M

All you need to build secure ML pipelines and cloud native applica

Can an intelligent system exist without awareness? by Marco Baena

A Big Data approach to understand Central Banks

DataOps: from hell to heaven in 24 months

The Evolution of (Open Source) Data Processing by Aljoscha Krettek

Data structures with Avro: is it worth it? by Arek Osinski

Scalable online machine learning ... by Javier De Matías

Energizing the Data: building our Data Lane

Learning “Learning to Rank” by Sophie Watson

Big Data in flight test by Moisés Gonzalez & Francisca Coll

Unlocking the power of Expedia for Partners by Mariano Albera

The lifecycle of machine learning & artificial intelligence

AI and the Microsoft Knowledge Vision by David Gorena

Machine learning for product matching.

Audiobranding – how to transmit brand values through music

Driving in dataland by Carlos Herrera

Big Data w/Python on Kubernetes (PySpark on K8s) by Holden Karau

Teaching a robot Guess Who? From Deep Learning to Brain Spikes

Notebooks as enablers for graph-enhanced machine learning

Notebooks are not enough by Israel Herraiz

Data Lakes for Financial Entities by Luis Estrada

Evolution Strategies as brain of Autonomous Agents

You can AI like an expert by Jon McLoone

Two heads are better than one: Ensemble methods for the win?

Beyond accuracy and time by Amparo Alonso

Productionizing ML Pipelines with PFA by Nick Pentreath

Theory And Practice Of Distributed Training With Tensorflow

Deep Learning and the technology behind Self-Driving Cars

Decentralized data markets for training AI by Paco Nathan

Adopt AI in your organization by Aarthi Srinivasan

AI, central element of the Information Systems in the next decade

The intersection of Data & Design in digital products creation.

Big Data for Social Good: Opportunities and Challenges

From BigData to AI @ Telefonica by Chema Alonso

AI beyond chatbots by Óscar Méndez

Deploying AI for Near Real-Time Manufacturing Decisions

How to transform a “real world” company and bring it into the 21st

Probabilistic structures for scalable computing by William Benton

Spark optional: big data analysis and parallelization with Python

How to build high performing weighted XGBoost ML model

Validating Big Data Jobs – Stopping Failures before Production

AI Adoption in Enterprise by Paco Nathan

Data Privacy @Spotify by Irene Gonzálvez

AI: What are the best doing ... by José Ruiz

MLflow: Accelerating the Machine Learning Lifecycle. Matei Zaharia

Advancing Human Exploration by PATRICK E. RODI

Welcome Note by Carmen Vidal & Óscar Méndez