Mr. Wiese graduated his bachelor´s degree in Industrial Engineering at the Technical University, Dortmund. 2016 he joined the SCMT GmbH as Junior Consultant. In his project at the Diesel Driveability Department of Daimler AG he managed advanced analytics use case projects. In his major project he developed an AI-aided bucking event detection algorithm to create value from massive amounts of endurance test run data. Alongside, he studied Business Engineering at the Steinbeis University, Berlin. In 2018, he graduated his master´s degree and joined the Research and Development team of Daimler AG. He works in the Big Data for Endurance Testing project to create a cutting edge, future proof platform for analysis and reporting of worldwide distributed automotive measurement data. He focuses on advanced analytics use cases to support data driven business at Daimler R&D Endurance Testing.
24. Juni 2019 - 11:30-12:15
Mo 3.1 2) - Data Management