Today, clients require faster control decisions to improve productivity and yield, especially at the edge or tool level.
Advanced process control requires analytical, statistical, and ML/AI algorithms to be executed fast enough to recommend, determine control action, and then take that control action fast enough to ensure processes operate as efficiently and effectively as possible.
KX provides complex event processing and analytics facilities powered by our vector-oriented programming and query language and integrations with SQL, Python, R, MatLab, and other languages to operate on streaming and historical data simultaneously.
With the lightweight infrastructure footprint of KX, these capabilities can be brought closer to the source of data and measurements. Once this data, its analytics, and the results are stored, it can be forwarded to a central location to provide a consolidated view across the entire manufacturing ecosystem and acted on for big data analytics for monitoring, simulations, performance optimizations, etc.
- AEPC <30msec responses
- 100X faster than legacy
- Edge Deployments