Category - Nordic Data Science and Machine Learning Summit 2019

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...

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 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...

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...

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...

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...

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 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...