Data Science & AI Day 2017

Kista Science Tower, Stockholm | 28 november, kl 09.00 - 16.00

Data Science & AI Day explores the ongoing global paradigm shift to smart datadriven technologies and applications in all industries. Speakers from leading industry and academia present the latest developments in machine learning, scalable platforms, and AI, and their implications for next generation smart datadriven products, services, production, and automation.

Data Science & AI Day is part of RISE SICS Software Week 2017.

Recordings from the Data Science & AI Day is now available.
You will reach them by clicking on the speaker names below.

 

Daniel Gillblad, RISE SICS
Welcome and introduction

Matei ZahariaStanford University
DAWN: Infrastructure for Usable Machine Learning

Flavio Junqueira, Dell EMC
Pravega as a segment store

Atelach Alemu Argaw, Schibsted Media Group
Natural Language and Image Processing at Schibsted

Leif Jonsson, Ericsson
Fast, Parallell and Correct Latent Dirichlet Allocation for Interpretable Machine Learning

Hossein Azizpour, KTH
Is the high accuracy of deep learning models enough?

Lars Carlsson, AstraZeneca
Machine Learning For Smarter Drug Discovery

Magnus Sahlgren, RISE SICS & FOI
Data Science for text-based security applications

Philipp Eisen, King.com
Simulating Human Game Play for Difficulty Prediction with Convolutional Neural Networks

Jim Dowling, RISE SICS & KTH
Tensorflow and GPU support on Hops Hadoop

 

Date/time: 
Tuesday, November 28, 2017, 09:00 to 17:00
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Location: 
Kista Science Tower
Färögatan 33, Kista.
Stockholm
Sweden
SE