The main challenges the process industry faces today are how to maximize productivity, ensure quality and improve processes. Unexpected downtime, low availability, and deviation in production cycles are all problems every plant manager knows only too well. However, the mountains of data collected in the manufacturing process open new possibilities for how to confront these challenges. In the process industry all standard solutions rely on machine learning. However, what is the right method to use? In this webinar, we will discuss the right AI approach for process plants. Should it rely on real-time, online, or historical data? Should it be a supervised or unsupervised process? What is the best way to involve the subject-matter experts’ knowledge?
SAM GUARD – Dror Bomsztayn (namens SAMSON REGELTECHNIEK)