POPRZEDNIA EDYCJA - AGENDA

DataTech

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 HUELTES
RavenPack

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-RADECKA
Ringier Axel Springer Poland

11.40 - 12.00

Citizen Data Science: Enabling AI in UK Public Services

PIERS CAMPBELL
Kainos

12.00 - 12.40

Curing the world - why biology needs data science and why data science needs biology

ŁUKASZ PACIORKOWSKI
A4BEE

12.40 - 13.40

LUNCH

13.40 - 14.40

Rediscovering the Value of Apache Kafka® in Modern Data Architectures

RICARDO FERREIRA
Confluent

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 PTAK
TalentAlpha

DeepTech

stage

09:20 - 10:00

Registration & Coffee

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

12.00 - 12.40

StaTraining a Machine to See What’s Beautiful (esp. for Hotel Photos)

DAT TRAN
Axel Springer AI

12.40 - 13.40

LUNCH

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