Enabling Digital Twins

Sigmafine has successfully addressed many business and operational mandates over the last twenty-five years. These have largely been implemented in an offline mode, but many have been accomplished in a near real-time mode, running every ten minutes using automated inputs. But the trend to apply AI/ ML to operations planning and real-time monitoring, control, and optimization is heralding a golden era for data quality management and conditioning, bringing Sigmafine into the fore again. Sigmafine can be further extended to support the need for improved accuracy of real-time data streams used as inputs to real-time process optimization components. This presentation reviews the past, present, and future of Sigmafine applied to the future of process digital twins.