What is?

Industry analytics involves the use of big data, AI, and machine learning to analyze manufacturing and industrial processes, improving efficiency, quality, and decision-making.

Model Predictive Control (MPC) is an advanced control strategy that optimizes industrial processes by using predictive models to adjust operational parameters in real-time.

Contextualized industrial data enhances raw data by adding relevant metadata, making it more meaningful for analytics, AI, and real-time decision-making.

Unified Namespace Architecture is a real-time industrial data structuring approach that centralizes and standardizes operational data for seamless IT/OT integration.

A Unified Namespace Broker is a central messaging hub that facilitates real-time data exchange between industrial systems, ensuring seamless communication in a Unified Namespace.

IT and OT coordination ensures that IT and operational technology teams work together effectively to optimize industrial operations, cybersecurity, and digital transformation.

A Manufacturing Operations Management (MOM) system is a software platform that integrates production, quality, and supply chain processes to optimize manufacturing efficiency.

The Purdue Model for Network Security defines layered security controls to protect industrial networks, ensuring segmentation between IT and OT environments.