Is your unit or production line running below its expected performance? Are your operators constantly adjusting setpoints while chasing ideal operating conditions? If so, join us in this webinar to find out how predictive analytics empower OT personnel to run closer to design by deploying machine learning at the edge. We will discuss how AI can be used to build a soft sensor that makes real-time, logical predictions of operational parameter values to replace manual testing. We’ll walk through the workflow an automation engineer would follow to build a predictive ML model and share examples of how users are deploying models today to achieve benefits such as increased yield, reduced downtime and increased profitability.