Fujitsu Network Communications, Inc. today introduced Virtuora® IA, a collection of network applications powered by artificial intelligence (AI) that use network-focused machine learning (ML) models and inherent telecommunications expertise to significantly improve mobile network operators’ (MNOs) network performance with drastically simplified operations. Fujitsu’s AI-powered network applications employ neural network modeling to provide practical network optimization benefits that offer real competitive advantage in today’s 5G market and beyond.
As pressure to reduce operational expenditures intensifies and network complexity escalates, MNOs require new tools to minimize total cost of ownership (TCO). With the power of AI, Fujitsu’s Virtuora Intelligent Applications enable MNOs to streamline complex network operations, improve performance, reduce costs, and speed service delivery, helping generate additional revenue streams and boost profitability.
Fujitsu’s AI-powered network applications leverage unique neural network modeling plus pre-trained ML models with inherent networking expertise to vastly improve efficiency. With a software architecture compatible with large language model (LLM) technology and generative AI, the applications provide continuous learning and unleash self-healing multivendor networks. This allows greater network automation to reduce problem resolution times, eliminate repetitive tasks, and enable operations to make faster, more accurate decisions.
Fujitsu’s new collection of intelligent network applications helps MNOs quickly investigate network problems and service disruptions. Virtuora IA applies real-time inference to develop a precise analysis of problems, creating multivendor, multidomain ML models that use a neural network to reveal contextual network insights. With the ability to adapt to evolving network behavior, this intelligence translates into proactive action including automated notification processes and remediation. In a recent trial, a Tier 1 MNO was able to sort and understand data from hundreds of thousands of network nodes and end points, reducing thousands of network anomalies into root causes and their locations within minutes.