This session aims to demonstrate how well aligned data science projects could unlock business value. Has its core on the use of advanced analytics techniques, guided by the business strategy and process, to improve...
Category - Nordic Data Science and Machine Learning Summit 2019
Data&AI at TomTom: how we are transforming mobility – Mattia Zeni, TomTom
Data&AI are transforming mobility by creating a safer world, autonomous and free of congestions. With the amount of data collected from the real world, TomTom keeps improving its products and help drivers to make...
Time Series Anomaly Detection with Deep Learning – Sergei Bobrovskyi, Airbus
Time series are ubiquitous in aerospace engineering and represent a large part of the data with highest business value potential. In this talk we focus on automatic anomaly detection tasks for aircraft sensors. We...
Taming the reproducibility crisis – Lars Albertsson, Scling
In data science, the scientific part is often forgotten – workflows, tools, and practices that are popular tend to yield experiments that cannot be repeated. Experiments are not reliable cannot tell us whether changes...
From Actuaries to ML: the impact of AI/ML in Insurance – Øyvind Indrebø, Fremtind Forsikring
At its core, insurance is all about making good predictions. The impact of AI/ML will therefore be profound! In other words, we need to move from actuarial science to machine learning engineering. I will give you the...
Federated ML – a way to solve the data sharing problem – Daniel Zakrisson, Scaleout Systems
Data ownership is a competitive advantage and a very valuable resource. In the coming years, the AI front runners will capture most of the value unlocked by powerful machine learning models. Many machine learning...
Demystifying Deep Learning for Decision Makers – Noha Badawy, Dataiku
One of the most important skills for data scientists to have, is being able to clearly communicate results so different stakeholders and decision makers can understand. Since data projects are collaborative across...
Artificial Intelligence – how to position AI in a large corporate? – Mattias Fras, Nordea
Artificial intelligence and machine learning works. And in some data driven companies born in the past 10-20 years AI is being implemented at scale. But how does it affect companies in financial industry here and now...