Nokia launches AI assistant “MX Workmate” for industrial efficiency By Elets News Network - 15 February 2024

MX Workmate

Nokia introduced “MX Workmate”, an innovative AI-powered assistant to enhance industrial operations, as reported by Reuters. This state-of-the-art tool leverages generative AI and large language models (LLMs) to craft messages that aid factory workers by providing timely alerts on equipment malfunctions and offering suggestions to improve production efficiency.

According to Stephane Daeuble, Nokia’s Head of Enterprise Solutions Marketing, “MX Workmate” is set to revolutionize the way industrial data is utilized. The tool can predict machinery failures, propose maintenance actions, and identify strategies to elevate production quality and speed, thereby addressing potential accidents in manufacturing settings.


Integrating with Nokia’s existing 4G and 5G communication technologies, which facilitate internal communication and sensor data collection in industries, “MX Workmate” aims to be a pivotal tool in decision-making processes. This development comes as industries face challenges related to skilled labour shortages, highlighting the assistant’s potential to make critical data more accessible and actionable for workers.

While generative AI’s potential and its regulatory landscape are still evolving, Nokia assures that “MX Workmate” adheres to operational technology (OT) standards. Despite the excitement, the company acknowledges the need for thorough testing and adaptation to ensure reliability and compliance across various sectors. Initial versions of the tool will incorporate human oversight for AI-generated content to mitigate errors and ensure accuracy.

Nokia anticipates a gradual adoption of “MX Workmate”, with the first significant deployments expected in about a year to eighteen months. The unveiling of this pioneering tool is scheduled for the upcoming Mobile World Congress in Barcelona, showcasing Nokia’s commitment to advancing industrial communication and efficiency through AI.

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