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Learn How Automated AI Solutions Can Reduce Expenses

Posted on 
August 27, 2019

Reduce Electrical/Fuel Operating Expenses & Boost Profits with Auto-AI

Process-control techniques for energy-consuming assets (boilers, compressors, etc.) are costly and complex—demanding time and resources that don’t guarantee results. (Sound familiar?)

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It doesn't have to be this way!

This webinar provides guidance on reducing real-time energy costs by taking an operational edge AI/ML framework to democratize your analytics solutions. Learn how to implement this approach in a matter of minutes, all without learning any data science or scripting any code.

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SORBA Webinar

It doesn't have to be this way!

This webinar provides guidance on reducing real-time energy costs by taking an operational edge AI/ML framework to democratize your analytics solutions. Learn how to implement this approach in a matter of minutes, all without learning any data science or scripting any code.

Watch Webinar Now

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Takeaways from this webinar:

  • How maintenance/process engineers are adding practical, augmented AI intelligence to their PID techniques even in Industry 3.0 infrastructure and control systems
  • How manufacturing citizen-data scientists are improving industry KPIs such as KwH-generated and natural gas consumed in real-time
  • Configuring an accurate edge/AI data-driven operational baseline of your energy assets, while mitigating the manipulation of your single source of truth
  • Ways to deploy an edge/AI operational digital twin ML model to forecast supply chain events
  • How edge-based AI can automatically optimize your process-equipment parameters, reinforce a SMART dynamic set point in real time, and provide smart root-causal analysis/fidelity to industrial problem solving

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