Digital operations platform for IIoT

Simplify operations for an increasingly complex connected digital world. Provides a single pane of glass to intelligently control and manage a variety of IoT and non-IoT data sources, systems, applications and analytics engines, while enhancing end to end operational efficiency. With robust model driven AI/ML platform capabilities and a complex rule engine to drive automated processes, the IOC brings true actionable intelligence to digital operations. It can be deployed on the Nokia MX Industrial Edge (MXIE), thus enabling use cases that require high availability and reliability.

Connecting edge to cloud for access to Azure IoT applications

Enables cloud analytics and custom business logic to MX Industrial Edge. Allows you to scale your IoT solution by packaging business logic into standard containers, deploying them to any of your devices and monitor it all from the cloud.

IIoT edge platform

Connect, integrate and analyze operational data in real-time to provide many industrial use cases. Real-time streaming analytics and integration with automated workflows, low code development and the ability to bring your own algorithm capabilities enables many industrial use cases. Connect to 800+ industry systems with pre-built connectors for edge to cloud data flows and pipelines and facilitate digital twins by creating live loops of streaming data between connected devices and cloud for applications such as condition monitoring.

IIoT edge platform

Put data to work for operations to transform at scale. Litmus, the Industrial EdgeOps platform that Unlocks.Activates.Scales. Litmus unifies data collection, normalization, contextualization, and analytics at the edge and cloud. Litmus unlocks intelligence to improve efficiency, profitability and security. Nearly 300 pre-built device drivers and integrations for OT assets and enterprise systems, along with digital twin and machine learning models, make it easier to address asset monitoring, anomaly detection, energy consumption, forecasting, predictive maintenance and more.