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Industrial AI

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

Machine Learning and Analytics | GE Digital webinar

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.

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