CIO Influence
5G Technology CIO Influence News Machine Learning

Fujitsu Introduces AI-Powered Applications to Tame 5G+ Network Complexity

Fujitsu Introduces AI-Powered Applications to Tame 5G+ Network Complexity

Intelligent applications harness industry’s first use of neural networking to empower operators with greater network performance, efficiency and speed to market

Fujitsu Network Communications, 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  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.

Read More : Ansys, Intel Foundry Collaborate on Multiphysics Analysis Solution for EMIB 2.5D Assembly Technology

“Our innovative new AI-powered network applications are part of an expanding portfolio of intelligent software solutions designed to help network operators realize light-touch operations for greater agility, lower TCO and unrivalled performance,” said Greg Manganello, senior vice president of the network software and integration business unit at Fujitsu. “We have combined decades of network operations experience with our extensive AI research to deliver immediate business value within a trusted multivendor network management ecosystem.”

With this new collection of Virtuora Intelligent Applications, Fujitsu is delivering AI-powered applications focused on power savings and network optimization, as well as automated incremental deployment and rollback.

Read More : M31 Powers Intel’s IFS Alliance to Promote Advanced SoC Development and Innovation

[To share your insights with us as part of editorial or sponsored content, please write to sghosh@martechseries.com]

Related posts

ZEE Digital Entertainment Platform ZEE5 Selects BuyDRM’s KeyOS Multi-DRM Platform

CIO Influence News Desk

Broadband Providers Can Accelerate Growth With New Calix Wi-Fi 6 and 6E Systems for Amazing Gaming, Outdoor Coverage, and Small Business Success

Business Wire

The Iconic Absolut Company Selects GEP AI-Driven Procurement Software to Transform Its Source-To-Contract Process