Holistic Development of Industrial Big-Data Applications and Services

Speakers: Marcel Dix and Dr. Benjamin Klöpper, ABB

The application of big data and data analytics for optimizing production and mainte- nance processes is one of the most important use cases for industrial IoT. The talk introduces ABB’s development process for data driven services. The development process is essentially organized in four steps: 1. Development of value propositions and deduction of relevant analytical questions 2. Collection, investigation, and preparation of available data 3. Data analysis and model training 4. Roll-out and deployment of Big Data and analytics based services The process is illustrated based on an example from chemical industries, but many aspects can be transferred to other applications.

Marcel Dix

Scientist Industrial Data Analytics

Marcel Dix received a Dipl.-Inform. (FH) degree in computer science in 2001 from Technische Hochschule Mannheim, Uni- versity of Applied Sciences. In 2001 he joined ABB Corporate Research as scientific employee for Industrial Software and Applications. In 2012 he received an extra-occupational MBA in General Management from Europäische Fernhochschule Hamburg, University of Applied Sciences. Since 2012 his re- search focus at ABB is on Industrial Data Analytics.

Dr. Benjamin Klöpper

Principal Scientist Industrial Data Analytics

Benjamin Klöpper received a PhD from University of Pader- born for his work on AI planning for mechatronic systems in 2009. During his time in Paderborn, he was a guest researcher at the Daimler Research center in Ulm developing data quality tools for assembly line balancing. From 2009 until 2011, he joined the National Institute of Informatics in Tokyo as a post- doc researcher in the area of self-adaptive software system. In 2012 he joined ABB corporate research as principal scientist for industrial data analytics and topic coordinator for the industrial internet of things in the software research of ABB.