Unlock the transformational power of Industrial AI

IoT sensors, handhelds, field routers and other industrial devices play a vital role in capturing comprehensive OT data from machines, workers and legacy systems. Pairing this data capture with deterministic, pervasive, high-bandwidth wireless connectivity enables continuous, automated, real-time data collection across your operation.

Our portfolio of ruggedized and/or EX-protected devices includes everything from modems, routers and dongles to phones, tablets and cameras, helping you connect your workforce, sensors and machines in harsh industrial environments.

Nokia DAC Private Wireless 4.9G/LTE and 5G can reliably connect everything 24/7 across your vast industrial site – it’s purpose-built for the scale, mobility and reliability demands of business- and mission-critical OT operations.

The security of digitalization technology is a clear priority for industrial players because it’s integral to maintaining smooth operations, protecting reputations and retaining the proprietary sovereignty of data.

ABI Research has identified that “Private networks are easily the most secure form of connectivity, and players can ride on this demand for safer systems - especially for applications such as mission-critical communication, heavy machinery automation, and supply chain systems.”

The right combination of industrial applications from both Nokia and our ecosystem partners, deployed on our MX Industrial Edge, lets you effectively manage IIoT assets. You can ensure zero trust security at the industrial edge and advanced operational site perimeter security with virtualized next generation firewalls while always looking for and closing down IIoT device vulnerabilities.

Industrial digitalization embraces the entire industrial process across your business, from resource extraction, through to supply chain management and production and the delivery of goods to your end customers. At an enterprise level, this requires IT/OT convergence, letting you effectively harness OT data to measure KPIs and compliance targets, while also promoting automation throughout the data lifecycle.

As part of the ecosystem environment on the Nokia MX Industrial Edge, Crosser Node, Litmus Edge, Prosys OPC UA Forge and the Nokia Integrated Operations Center complement our 4.9G/LTE and 5G Private Wireless connectivity. They unify data collection, normalization, contextualization and analytics from a single data lake at the edge with nearly 300 pre-built device drivers and integrations for OT assets and enterprise systems.

Gen AI-powered solutions can streamline operations through natural language processing, enabling more intuitive human-machine interactions, and improving efficiency in complex industrial environments.

Nokia MX Workmate is industry's first OT-compliant, generative AI solution for connected workers. It can answer queries and send real-time contextual information to workers using natural sounding, easy to understand, human language generated by Gen AI. This is achieved through APIs that open communication with key applications.

Gathering visible, real-time universal insights enables you to achieve data-driven operational excellence and put augmented and automated decision-making approaches in place. Both are key to realizing your business goals using Industry 4.0.

Our OT Edge DataOps solution can help you harness and leverage data to support daily decision-making at every level of your business – ensuring that the right people and machines have access to the right information at any given moment. It achieves this by enabling comprehensive data collection, aggregation and harmonization from various assets and resources close to the data source, giving you a holistic understanding of your operations.

Some advanced industrial use cases such as real-time AI-based video analytics for worker safety or production quality control and ultra-low latency automation for mission-critical operations demand that massive data volumes are processed at extreme speeds. In these highly time-critical scenarios, a single, central, on-premise edge may not be fast or close enough to deliver all your OT performance requirements. Decentralized hyperlocal data processing is the answer.

Nokia MX Grid puts a pool of distributed micro-edges in place that bring compute power and AI capabilities right to the data source. AI/ML models run on the micro-edges to pre-process high-volume data streams, sending only relevant insights to the central edge, Nokia MX Industrial Edge (MXIE). This reduces latency and bandwidth use while enabling the faster decisions and automated responses you need.

Now you have access to real-time OT insights you can deploy business-critical applications that can drive measurable improvements across your end-to-end operations. Because our unified OT edge compute and AI platform is ecosystem-neutral, you can deploy our own range of in-house applications as well as edge workloads coming from many leading software vendors, enabling concrete Industry 4.0 use cases with a fast ROI.

Our industrial application portfolio supports a wide range of use cases helping you to meet key operational goals – from enhancing situational awareness and workforce efficiency to reducing safety risks and lowering environmental impact.

Intelligent camera-based positioning and object detection transforms video feeds into real-time operational insights. From detecting safety risks to tracking assets and spotting defects, they reduce manual workloads, speed up response times and enable smarter automation across industrial sites.

Using real-time video feeds and AI-powered vision analytics, Nokia Visual Position and Object Detection enables real-time tracking and positioning without the need for physical tags. It can be trained to detect anything on-site, making it a key enabler for improved worker safety and the location tracking of critical industrial equipment.

One of the most exciting trends in industrial digitalization today is sensor fusion, enabling intelligent decision-making close to the controlled asset. By integrating data from multiple sensors in real time, this approach provides far more accurate, reliable and comprehensive contextual awareness than is possible from accessing data from each sensor independently.

Integrated with our edge compute and AI platform, Nokia MX Context combines multimodal sensor fusion and AI inferencing to integrate OT data from different sources. This unleashes actionable insights, predictive recommendations and new possibilities for intelligent automation in key Industry 4.0 use cases such as worker safety and asset tracking.