Clariant is a specialty chemicals company that founded Navigance GmbH in order to venture into their first digital product, a solution that optimizes the efficiency of the chemical process. 

As safety of the operation takes highest priority, fast acceptance for such new technology can only be won without full automation. Therefore it is crucial that the staff stays in the loop and continues to take the responsibility of changes in system. However, the product team learned about a big challenge regarding the human-machine interaction: Process engineers have an already demanding work routine, so any distraction like another crowded monitor with cryptic alerts was not wanted and would not have been accepted. In addition, it was not easy to gain their trust on recommendations from the black box model. Without a good way to address this, they could easily feel left behind as experts. Evelyn Münster and Sebastian Werner will show you how they developed purpose-built data visualizations that help gaining trust in the machine learning black box. They will talk about how they designed a user interface that leaves the users in control and caters to their workflow, ensuring high user acceptance.