3. Customize and adapt for “last-mile” 
implementation
Because each product is designed to be  
modular and reusable, 50-70 percent of each  
one is ready from day one to be used when it’s  
rolled out to a power plant. But customization  
is always needed because each plant has its  
own unique characteristics. 

Take the maintenance solution developed to 
understand the best time to replace inlet filters  
at gas turbines. Each filter costs $150,000,  
and a plant needs to be shut down for two days  

Additional training for the core tech team covered 
how to build and maintain models and resolve  
issues, as well as deeper machine learning and 
analytics skills to understand how models work in 
detail. This happened largely by working side by  
side with McKinsey AI experts.
an-ai-power-play-fueling-the-next-wave-of-innovation-in-the-energy-sector-may-2022