Nokia portfolio of industrial applications and devices

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.

Extend application capabilities Offers a simple way to deploy and manage Azure applications on-premise with multi-cloud resources, such as virtual or physical servers and Kubernetes clusters. It simplifies governance and management by delivering a consistent multi-cloud and on-premise management platform. Running on Nokia MX Industrial Edge, it provides enterprises with added access to Azure capabilities while benefiting from private wireless connected assets, real-time data and on-premise, highly-resilient OT-centric edge processing.

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.