"For me, the chemical industry is predestined for the use of AI because we have a lot of complex processes going on that cannot be described by fixed rules," says Walter Grüner, Head of IT & Digitalization at Covestro. "They are not suitable for automation. We rather need learning systems to which we grant a certain degree of decision-making autonomy. In doing so, we focus primarily on the development of systems that work in a complementary manner to humans and support their abilities."

With the introduction of AI in the chemical industry, questions about technical, operational and organizational implementation are also increasingly emerging. This includes, for example, the role of AI in decision-making, but also its implementation along value chains.

Artificial Intelligence – great opportunity for chemical industry

Under the motto "Shaping industrial change with AI", the participants exchanged in a generic way views on the following topics:

• AI system to assist decision making or as an autonomous decision-maker
  

•  AI awareness, literacy and capabilities
  

• Production technology vs. supply chain management: independent or joint optimization
  

• Needs and requirements for external data generation (monitoring)
  

"It is precisely the exchange across company boundaries that helps us a lot in the upcoming transformation because overall challenges become clearer," says Nils Janus, Global Head of Advanced Analytics at Covestro. "This increases efficiency and saves time."