This whitepaper presents use cases and results demonstrating the ROI of AI projects. It also accompanies the webinar 'Return On Investment For AII' by Peter Horsburgh.
The primary goal of this Proof of Concept (PoC) report is to validate SAI's capability in enabling the client to predict equipment failures or classify degradation patterns before potential production issues arise.
Looking for collaboration with other SORBAai users? Join our Discord community to ask questions and share ideas.
Download the User Guide for the OEE (Overall Equipment Effectiveness) course.
Download the User Guide for the Machine Learner Trainer course.
Download the User Guide for the IoT Unified course.
%20(256%20%C3%97%20256%20px).png)
%20(256%20%C3%97%20256%20px).png)
%20(256%20%C3%97%20256%20px)%20(1).png)
