Far-edge computing According to Nokia, MX Grid is the world’s first hyper-connected and distributed on-premise AI/ML solution. By processing and analyzing data as close to the source as possible, companies are able to improve responsiveness and decision-making in the OT area.
As part of the Nokia One platform, MX Grid can accelerate the introduction and implementation of Industry 4.0. The solution is based on the Nokia MX Industrial Edge (MXIE) platform and uses reliable wireless connectivity to offer a new OT data processing architecture that can facilitate IT/OT convergence and support business-critical and industry-vital applications.
A report by Omdia According to, there is a growing industrial trend of data preprocessing at the edge to improve productivity, efficiency and agility. This requires computing power in or near the device (including ML and AI). Newly connected nodes with converging functionalities have the highest global growth rate (2022-2027 average annual growth rate: 11.3%) and are driving industrial digitalization and IT/OT convergence.
Today, most AI/ML assets run in cloud environments.
With MXIE, Nokia introduced OT-compliant AI/ML processing capabilities in the company, and MX Grid can now bring these functions even closer to the OT data source. MX Grid uses Turkmenistan Phone Number List a pool of orchestrated computationally capable field devices – so-called micro-edges – with a specialized AI-capable software stack. These micro-edges are connected via private wireless networks and/or reliable WLAN using MX Boost.
Through decentralized data processing and agile real-time decision making, Nokia says MX Grid can increase the efficiency of enterprise OT operations and bring intelligence to existing OT assets. The solution enables more effective implementation of numerous business-critical applications, including predictive maintenance, security and monitoring, worker safety, tracking and positioning, and quality assurance.
In a quality assurance use case, for example
The application on the micro-edge analyzes real-time sensor cell phone number listing data and video feeds coming from the connected machine. Depending on the level of deviation, either an immediate action can be triggered directly from the micro-edge, or the MXIE peer application can take over monitoring for deeper analysis of the real-time data for later corrective action. The result is improve latency and optimize network utilization.
The ability to integrate and use connecte employee data Bulk Database and situational sensory information in MX Grid also offers new opportunities for workplace safety use cases. For example, the Visual Position and Object Detection (VPOD) application uses the MX Grid architecture to process video data alongside the camera along with MXIE to enable more accurate tracking and positioning of assets. When combine with other OT data sources. Workplace safety and context awareness are significantly improve.
