Machine Learning and Analytics: Process Engineers Don’t Have to Be Data Scientists

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%

Watch this webinar to learn the proven processes and software technologies that make analytics do-able for every industrial organization.