GE Digital’s Proficy CSense turns raw data into real-time value with a Process Twin
Machine Learning and Analytics: Process Engineers Don’t Have to Be a Data Scientist
It has never been easy for any industrial organization taking on a digital transformation jersey including machine learning and analytics.
With proven processes and software technologies namely GE Digital’s Proficy CSense, the journey to success with machine learning and analytics become achievable for every industrial organization.
Process engineers have exceptional domain expertise to put together process models – or Process Digital Twins – and be able to interpret the models. This is the foundation for improving competitive advantage and success with analytics.
To drive analytics and improve processes, process engineers can align domain expertise to five capabilities:
Automatic root cause identification accelerates continuous improvement
Early warnings reduce downtime and waste
Proactive actions improve quality, stability, and reliability
What-if simulations accelerate accurate decisions at a lower cost
Optimal process setpoints improve throughput at acceptable quality by up to 10%