Emerson Exchange 365

Analytics using artificial intelligence (AI) and machine learning (ML) presents a massive opportunity, but also confusion. Where to start? How to start? What models to apply where? What types of problems can analytics solve?  

Advanced analytics can transition power producers from a reactive operations and maintenance approach to a predictive or prognostic strategy. This actionable intelligence—built directly into the automation platform—unleashes efficiencies that improve operational situational awareness across traditional, renewable and battery storage generation segments. Ultimately, it reduces overall costs while increasing plant safety, reliability and availability.  

The actionable intelligence provided by AI-enabled analytics can alert and guide plant operators to take immediate, specific action or direct the control system to do the same, to avert future, potentially catastrophic equipment or process failures at renewable or fossil plants. 

Rick Kephart participates in a panel discussion during Pittsburgh Technology Council’s Beyond Big Data: AI/ML Summit.

Earlier this month, I offered my thoughts on this topic while participating in an “AI on the Cutting Edge” panel discussion during the Pittsburgh Technology Council’s 2024 Beyond Big Data: AI/ML Summit. Here is a summary of the observations I shared:  

• The most important technological advancements expected in the next 5-10 years: Everything is moving very fast in this area, but my fellow panelists and I all agreed that our experience 5-10 years from now will be vastly different than it is today. More specifically in regard to the software and systems we provide our customers, I expect to see a greater ability to deploy models on small systems, advances in unsupervised learning and better model training accuracy and clarity.  
• What I want to see for the future of AI and our world: I see great opportunity for AI and ML to empower human critical decision making. For instance, automating mundane tasks will allow humans to focus on more value-added tasks. In terms of the power industry, creating AI requires a lot of energy and cost. As the power industry rapidly transitions to more renewables, I’d expect significantly more demand as AI and ML are increasingly adopted.  

 If you’d like to learn more about how Emerson is leveraging AI and ML today for our customers, visit our Ovation Plant Prognostics site, where you’ll find information about how expert rules, complex modeling, AI and ML are helping to enhance operator situational awareness and decision making.   

 #software #data #AI 

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