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

Turn data into real-time analytics with Process Digital Twins

GE Digital I Machine Learning for Engineers

Become an industrial analytics expert

Use your domain expertise to drive optimization – without a data scientist

 

Engineers’ deep domain expertise provides a foundation for modeling processes and developing the analytics that are game changers in very specific applications.

 

The combination of applied analytics technology with those Process Twin models uncovers hidden opportunities for improvement over-and-over again.

 

Learn how you can optimize your manufacturing process with analytics and turn raw data into real-time value with Digital Twin technology.

 

Download the Machine Learning and Predictive Analytics Guidebook for Engineers today.

CSense predictive analytics screenshot, process digital twin software from GE Digital

Proficy CSense

Proficy CSense uses AI and machine learning to enable process engineers to combine data across industrial data sources and rapidly identify problems, discover root causes, and automate actions to continuously improve Quality, Utilization, Productivity, and Delivery of production operations.