Presented By O'Reilly and Cloudera
Make Data Work
September 25–26, 2017: Training
September 26–28, 2017: Tutorials & Conference
New York, NY
Mateusz Dymczyk

Mateusz Dymczyk
Software Engineer,

Mateusz Dymczyk is a Tokyo-based software engineer at, where he works as a researcher on machine learning and NLP projects. He works on distributed machine learning projects including the core H2O platform and Sparkling Water, which integrates H2O and Apache Spark. Previously, he worked at Fujitsu Laboratories. Mateusz loves all things distributed and machine learning and hates buzzwords. In his spare time, he participates in the IT community by organizing, attending, and speaking at conferences and meetups. Mateusz holds an MSc in computer science from AGH UST in Krakow, Poland.


11:20am12:00pm Wednesday, September 27, 2017
Secondary topics:  IoT
Mateusz Dymczyk (, Mathieu Dumoulin (McKinsey & Company)
Average rating: ****.
(4.00, 2 ratings)
Mateusz Dymczyk and Mathieu Dumoulin showcase a working, practical, predictive maintenance pipeline in action and explain how they built a state-of-the-art anomaly detection system using big data frameworks like Spark, H2O, TensorFlow, and Kafka on the MapR Converged Data Platform. Read more.