Nokia uses AI and graph databases for telecom inventory

Nokia Oyj has announced a focus on integrating artificial intelligence (AI) and graph databases into its telecommunications inventory management systems. The company states that traditional, manually managed inventory solutions are insufficient for the demands of modern, distributed, and real-time network services.

The new approach redefines inventory systems from mere data storage facilities into data discovery engines. Graph databases allow for the efficient modeling and processing of relationships between data points, which is crucial for analyzing complex network environments. This enables faster root cause analysis and service impact assessments.

According to Nokia, solutions leveraging AI and graph databases can predict network usage trends and capacity requirements. This aids operators in optimizing investments and preventing network congestion or disruptions. Furthermore, these systems support the creation of 'digital twins' for simulating the effects of network changes before implementation.

The company highlights Nokia Unified Inventory as an example of a new solution powered by a graph database. This system is designed to enhance proactive capacity management, planning, new service provisioning, and the simulation and management of network failures.