ML and Analytics: Process Engineers Dont Have to Be Data Scientists [Video]

We hope you enjoy watching our video. Proficy is the world’s leading fully integrated industrial software suite. The Proficy portfolio includes cloud-based and on-prem HMI/SCADA, MES, industrial data management, and analytics.

Today, staying competitive means progressing with machine learning and analytics. Fortunately, the journey to success doesn’t require that process engineers need to be data scientists.

In this on-demand webinar, you will learn how to align engineering domain expertise to five capabilities:

1. Analysis – automatic root cause identification accelerates continuous improvement

2. Monitoring – early warnings reduce downtime and waste

3. Prediction – proactive actions improve quality, stability, and reliability

4. Simulation – what-if simulations accelerate accurate decisions at a lower cost

5. Optimization – optimal process setpoints improve throughput at acceptable quality by up to 10%