Covestro together with Bayer and Evonik has organized the first conference on artificial intelligence (AI), “Chemalytix”, in Leverkusen, Germany, to promote data science, sustainable research, production and distribution through big data in the chemical Industry.
Developing Interaction between Humans & AI
“We have not yet exploited the full potential of these new technologies. We must continue to develop the interaction between humans and artificial intelligence for our industry and ensure that data and intellectual property remain secure. If we are to remain successful in the long term, we must tackle this challenge now,” said Sucheta Govil, chief commercial officer of Covestro and responsible for innovation. “Only by working together can we find the answers. That's why cooperating with leading partners in industry as well as with customers is so important” added Govil.
“Data sciences have the potential to significantly change our entire value chain, from research and development to production and logistics to sales and marketing,” said Kemal Malik, member of the board of management for innovation at Bayer. “We are already seeing the enormous potential of data science in the life sciences, for example in digital agriculture and precision medicine. At the same time, digital technologies will play a key role in helping us achieve our global sustainability goals. Partnerships with universities, start-ups and other large companies are essential in this dynamic environment” added Malik.
Henrik Hahn, chief digital officer of Evonik, said that he considers Data Science to be an application-oriented science, while BI enables better decisions to be made based on the known, data science knowledge starts with the unknown.
Data Science for Chemical Industry
Practical questions from the supply chain and production of the chemical industry were solved by around 90 students of data and engineering sciences in the first global hackathon. The winner with the best solution was Team “Datavengers” from RWTH Aachen, which received an award in Leverkusen. “The students developed novel answers using different methods of machine learning. They demonstrated that data and its proper use can make the whole industry smarter and faster,” explained Nils Janus, head of advanced data analytics at Covestro. “We are demonstrating that the chemical industry can be an exciting employer for smart data scientists” added Janus.
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