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The 2019 Conference

GAIA Conference once again conquered Lindholmen Conference Center for its second installment on April 9, 2019. Tickets sold out even faster this time, and it was a huge success. We have compiled information about the speakers and their talks below. Recordings are also available on our YouTube channel.

 

Speakers

Featured
Building a Recommender System for Wound Treatment of Chronic Wounds
Apr 9
Building a Recommender System for Wound Treatment of Chronic Wounds

Benny Avelin / Data Scientist @ Combient MIX

Building a Recommender System for Wound Treatment of Chronic Wounds
Apr 9
Building a Recommender System for Wound Treatment of Chronic Wounds

Nina Nowak / Senior Data Scientist @ Combient MIX

A Language Model Is All You Need
Apr 9
A Language Model Is All You Need

Aron Lagerberg / Data Scientist @ Seal Software

How Well Do You Know Your Model? An Introduction To Interpreting Black-Box Models
Apr 9
How Well Do You Know Your Model? An Introduction To Interpreting Black-Box Models

Marko Cotra / Machine Learning Engineer @ Annotell

Working With Audio Sounds Easier Than It Is: A Deep Learning Perspective
Apr 9
Working With Audio Sounds Easier Than It Is: A Deep Learning Perspective

Agrin Hilmkil / AI Research Engineer @ Peltarion

Deep Learning for 3D Scene Understanding
Apr 9
Deep Learning for 3D Scene Understanding

Eskil Jörgensen / Research Scientist @ Zenuity

Quantum Deep Learning
Apr 9
Quantum Deep Learning

Daniel Persson / Associate Professor @ Chalmers University of Technnology

Governing Transformative Artificial Intelligence
Apr 9
Governing Transformative Artificial Intelligence

Markus Anderljung / Head of Operations & Policy Engagement @ Oxford Governance of AI

Death, Grievous Bodily Harm, and Other Anomalies: Machine Learning Applied to Human Motion Tracking
Apr 9
Death, Grievous Bodily Harm, and Other Anomalies: Machine Learning Applied to Human Motion Tracking

Thomas Wingate / Head of Research @ WAVR

Death, Grievous Bodily Harm, and Other Anomalies: Machine Learning Applied to Human Motion Tracking
Apr 9
Death, Grievous Bodily Harm, and Other Anomalies: Machine Learning Applied to Human Motion Tracking

Björn Mattsson / System Developer ML @ WAVR

The “Christmas Market Effect”: A Case of Overfitting
Apr 9
The “Christmas Market Effect”: A Case of Overfitting

Danila Petrelli / Linguistics Resource Developer @ Recorded Future

Life in a Machine Learning Team
Apr 9
Life in a Machine Learning Team

Ellinor Rånge / Data Scientist @ Ericsson

Better, Faster, and Cheaper Drug Discovery With Machine Learning
Apr 9
Better, Faster, and Cheaper Drug Discovery With Machine Learning

David Svensson / Statistical Science Director @ AstraZeneca

Better, Faster, and Cheaper Drug Discovery With Machine Learning
Apr 9
Better, Faster, and Cheaper Drug Discovery With Machine Learning

Emma Evertsson / Associate Principal Scientist Computational Chemistry @ AstraZeneca

Better, Faster, and Cheaper Drug Discovery With Machine Learning
Apr 9
Better, Faster, and Cheaper Drug Discovery With Machine Learning

Esben Jannik Bjerrum / Principal Scientist @ AstraZeneca

Better, Faster, and Cheaper Drug Discovery With Machine Learning
Apr 9
Better, Faster, and Cheaper Drug Discovery With Machine Learning

Johanna Sagemark / Associate Principal Scientist @ AstraZeneca

Better, Faster, and Cheaper Drug Discovery With Machine Learning
Apr 9
Better, Faster, and Cheaper Drug Discovery With Machine Learning

Jesper Havsol / Principal Biomedical Informatics Scientist @ AstraZeneca

Your Data Is More Valuable Than You Think!
Apr 9
Your Data Is More Valuable Than You Think!

Evangelia Soultani / Data Scientist @ Volvo Group

Building a Scalable Experimentation Platform at Spotify
Apr 9
Building a Scalable Experimentation Platform at Spotify

Karina Bunyik / Research Scientist @ Spotify

The Cognitive Company Description as a Phase in the Digital Transformation of a Company and the Application of This To AI Assist in Large Ocean Vessels
Apr 9
The Cognitive Company Description as a Phase in the Digital Transformation of a Company and the Application of This To AI Assist in Large Ocean Vessels

Hugo Werner / Data Scientist @ Stena Line

Real-Time Streaming AI for IoT and Healthcare
Apr 9
Real-Time Streaming AI for IoT and Healthcare

Nils Svangård / Head of AI @ Nectarine Health

The Cognitive Company Description as a Phase in the Digital Transformation of a Company and the Application of This To AI Assist in Large Ocean Vessels
Apr 9
The Cognitive Company Description as a Phase in the Digital Transformation of a Company and the Application of This To AI Assist in Large Ocean Vessels

Jonathan Andersson / Senior Data Scientist @ Stena Line

Exploration and Evaluation of Reinforcement Learning in Production
Apr 9
Exploration and Evaluation of Reinforcement Learning in Production

Jesper Derehag / Senior Data Scientist @ Ericsson

Dynamic Pricing for Hospitality: Modelling Demand
Apr 9
Dynamic Pricing for Hospitality: Modelling Demand

Anton Muratov / Machine Learning Engineer @ Atomize

Putting Data Science in Production
Apr 9
Putting Data Science in Production

Mikio Braun / AI Architect @ Zalando

How to be an ethical machine learning engineer
Apr 9
How to be an ethical machine learning engineer

Ivana Bartoletti / Co-founder @ The Women Leading in AI Network / Head of Privacy, Data Protection, and Digital Ethics @ Gemserv

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