This session will give insight how connected vehicle data can be used to do better diagnostic of vehicle problems. Using different techniques, you will see how you can increase the probability that your PM model will learn the right things.  


Speaker Bio

Kasper is a data scientist at Ford Motor Company, where he focuses on leveraging the opportunities of big data analytics and machine learning for connected vehicles and other smart mobility solutions.

Prior to joining Ford in Germany, Kasper worked as a data scientist in the Netherlands for T-Mobile (telecom), Meeùs (insurance) and RTL (media). At the companies, he worked on a variety of topics like CRM, churn reduction, segmentation, look-alike modeling.

Kasper holds an MSc in Business Administration, with specialization in Marketing Management and Marketing Research from the University of Groningen.

May 24 @ 11:50
11:50 — 12:20 (30′)

Stage 2 | Analytics Modelling and Innovation

 Program Day 2, Kasper Knol – Data Scientist | Ford Motor Company