stage
09:20 - 10:00
Registration & Coffee
10:00 - 10:20
OPENING
10.20 - 11.00
Data Science for Lazy People, Automated Machine Learning
DIEGO HUELTESRavenPack
11.00 - 11.40
A short recipe for a successful ML project - a case study of a large-scale real-world news recommender system
JOANNA MISZTAL-RADECKARingier Axel Springer Poland
11.40 - 12.00
Citizen Data Science: Enabling AI in UK Public Services
PIERS CAMPBELLKainos
12.00 - 12.40
Curing the world - why biology needs data science and why data science needs biology
ŁUKASZ PACIORKOWSKIA4BEE
12.40 - 13.40
LUNCH
13.40 - 14.40
Rediscovering the Value of Apache Kafka® in Modern Data Architectures
RICARDO FERREIRAConfluent
14.40 - 15.20
Crossing the chasm: A guide to the operationalization of machine learning models
MORAN HAHAM Sparkbeyond
15.20 - 16.00
The future of data processing - online machine learning on data streams
WOJCIECH PTAKTalentAlpha
10.20 - 11.20
Taking Machine Learning Research to Production: Solving Real Problems using TensorFlow and TFX
ROBERT CROWE and JAREK WILKIEWICZ Google Tensorflow
11.20 - 12.00
State of the art of Deep Learning
PAWEŁ NOGA habana.ai
StaTraining a Machine to See What’s Beautiful (esp. for Hotel Photos)
DAT TRAN Axel Springer AI
13.40 - 14.20
How deep learning helps save human lives in oncology
PIOTR KRAJEWSKI Stermedia.ai
14.20 - 15.00
Generuj i rządź
MATEUSZ BILIŃSKI Niebezpiecznik.pl
15.00 - 16.00
#Jak działają autonomiczne pojazdy
KRZYSZTOF KUDRYŃSKI NVIDIA