Adriaan holds master degrees in electromechanical engineering (2008) and industrial management (2009) and received a PhD (2013) in mechanical engineering at the University of Leuven for research on predictive maintenance in cooperation with several industrial companies like Bekaert and Atlas Copco. He worked two years as an industry asset management consultant for Stork where he performed reliability engineering projects at for example Umicore, BASF and VPK. Today, at SAS he holds the position of pre-sales manufacturing expert and generates value through analytics within the process and manufacturing industry. His background of engineering skills, management skills and data analytics skills makes him an ideal partner to his clients to develop and embed analytics within their manufacturing processes.
The time for experimenting with artificial intelligence (AI) is over. In a COVID-19 climate, it is important to be able to quickly scale up analytical models to industrial processes. SAS believes the solution can be found in democratizing AI. Most manufacturing businesses have large amounts of data at their disposal.
Chemical companies are sitting on data gold mines waiting to be exploited. Yet most of them struggle to capitalize on the full potential and insights of their data. How can you make advanced analytics work for you and gain competitive advantage? For the past couple of years, chemical companies have
