03/04/2021 | Trends
Meanwhile, the profession has attracted public attention. But what is actually behind it? Dr. Benedikt Schmidt and Dr. Marco Gärtler from ABB describe the job and explain why you should be enthusiastic about it.
DECHEMA: ABB is partner of the KEEN platform, which focuses on the application of artificial intelligence methods in the process industry. What role do AI methods play in ABB's research projects?
__ Dr. Benedikt Schmidt: For ABB, AI is considered as an additional tool for the method orchestra. They complement classic methods such as physical modelling (first principle model). Machine learning as a subset of AI is used to generate knowledge from data and to facilitate decisions based on this knowledge. This process always takes place in interaction with the other tools of the orchestra. Machine learning, for example, is able to identify patterns in existing data sets.
DECHEMA: As Data Scientist, both of you have already applied AI methods. What is behind the job description of a Data Scientist and what makes the profession so exciting?
DECHEMA: What special qualities are necessary for the job?
DECHEMA: ABB has formulated a question for the KEEN Hackathon. What is interesting about your challenge and why is participating at a hackathon a special experience?
The interview was conducted by Dr. Simone Rogg/DECHEMA e.V.
studied mathematics at the University of Konstanz. He completed his doctorate at the Karlsruhe Institute of Technology (KIT) in the field of Computer Science. He has been working at ABB as Data Scientist since 2018 and has been developing AI methods for the process industry as part of the KEEN project since April 2020. He contributes to the formulation of the ABB - Challenge for the KEEN Hackathon.
studied computer science at the University of Paderborn. After his studies, he worked as a research assistant at SAP's research center and completed his doctorate at the Technical University of Darmstadt. Since 2015, he is employed as Data Scientist at ABB.
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