Machine learning algorithms leverage centralized factory data from machines and sensors, ERP/MES and quality systems to create a digital thread of your production processes. Data is cleaned and contextualized into a consistent format, organized into a taxonomy that assigns semantics to the data and aligned with metadata such as the product, shift or quality state.
The digital thread translates your manufacturing expertise into an actionable representation of your production line to serve as a roadmap for your predictive performance solution.