OT-compliant Gen AI Solutions for Connected Workers Launched by Nokia

Nokia announced the launch of MX Workmate, a suite of operational technology (OT)-compliant Gen AI Solutions intended to make it easier for industrial workers to interact with industrial machines. MX Workmate is designed to automate IT/OT knowledge retrieval and ease interaction between workers and systems to drive efficiency, productivity, and worker safety.

MX Workmate leverages Generative AI (GenAI) and large language module (LLM) technologies to generate contextual, human-like language content based on real-time OT data, enabling workers to understand complex machines, get real time status information, and industries to achieve greater flexibility, productivity, sustainability, and improved worker safety.

Organizations worldwide already face a skilled labor shortage. The effective use of AI tools can alleviate some of the HR crunch while boosting current employee capabilities. However, current GenAI LLM solutions are not compliant with stringent OT requirements, including reliability, availability, security, and data sovereignty.

Nokia MX Workmate looks to address this challenge by adapting GenAI LLM technology to OT environments by onboarding all enablers to the Nokia OT-compliant on-premise edge compute solution MX Industrial Edge (MXIE). It integrates innovations, such as AI hallucination elimination, while running parallel LLMs with APIs to communicate with applications that will provide OT data. Using Nokia Team Comms, workers will be able to query the assistant to send real-time contextual information to connected workers packaged into messages that are easy-to-understand using natural human language.

In addition, the solution will integrate AI auditing capabilities, ensuring strict adherence to OT standards using real-time insights and automated, supported analytics capabilities to streamline workflows and avoid costly errors.  This new man-to/from-machine communication utilizing natural language processing can assist factory-floor workers to receive real-time information about production status, volume, and quality and recommendations on how to improve these KPIs. Real-time data evaluation based on early warnings can serve preventive maintenance needs to avoid major machine failures, thus minimizing downtime. Continuous risk evaluation also ensures that relevant safety instructions are promptly delivered to workers in case of emergency.be easier to use, install and configure, which can help equipment operators and users to save time, boost operational performance, improve efficiency, and minimize downtime.