Opening Remarks
by Jakob Andersson
Chairman | GAIA
09:00Keynote: An Introduction to Algorithmic Fairness
by Thore Husfeldt
Professor of Computer Science | Lund University
09:15Social bias and fairness in natural language processing
by Olof Mogren
Machine Learning researcher | RISE
10:00Break
10:20Common Pitfalls when Working with Data
by Carl Lindberg
Co-Founder Sigmastocks and Director of Strategic Data Applications at Zenseact
10:35Data privacy and fairness in recommender systems
by Martin Tegner
Machine learning researcher | IKEA Digital
10:55Building a feature library for machine learning at iZettle
by Rebecka Jacobsson
Machine Learning Lead | iZettle
11:20Scalable forecasting in Google Cloud
by Oscar Söderlund
Chief Software Architect | Einride
11.40Lunch Break
12:00Intro
13:00Keynote: What we have learned from 150 successful ML-enabled products at Booking.com
by Pablo Estevez Castillo
Principal Data Scientist | Booking.com
13:05The impact of data quality on model performance
by Daniel Langkilde
Co-founder | Annotell
13:45Testing of Machine Learning Systems – the importance of “lagom” surprising inputs
by Robert Feldt
Professor of Software Engineering | Chalmers
14:05Break
14:25Learning from data in fundamental physics research
by Christian Forssén
Professor in Theoretical Physics | Chalmers
14:35Discovering New Molecules Using Graph Neural Networks
by Rocío Mercado
Postdoctoral Fellow | AstraZeneca
14:55Removing computational bottlenecks with deep learning
by Adam Andersson
Radar Systems Engineer | Saab Surveillance
15:15Better, Faster utilizing your GPUs for deep learning workload
by Zenodia Charpy
Senior Deep Learning Solution Architect ( Automotive / health ) | Nvidia
15:35Break
15:55Keynote: AI – Perspectives and Strategies
by Daniel Gillblad
RISE/Recorded Future
16:05Closing Remarks
by Josef Lindman Hörnlund
Board member | GAIA
16:50