MAVENIR WINS GLOTEL AWARDS FOR ADVANCING AI IN TELECOM

KUALA LUMPUR, Nov 28 (Bernama) -- Mavenir, the cloud-native network infrastructure provider, has won the Advancing Artificial Intelligence Global Telecoms (Glotel) Award for its Network Intelligence as a Service (NIaaS).

Applying state-of-the-art artificial intelligence (AI)/machine learning (ML) to telco operations, Mavenir in a statement said its NIaaS elevates problem-solving and decision-making capabilities to improve the user experience.

Its Senior Vice President and General Manager of Cloud, AI & IMS Business Strategy, Brandon Larson said the future of the telecom industry lies with autonomous networks, and communication service providers (CSPs) need to rapidly adopt AI in their operations to remain relevant.

“Mavenir’s NIaaS applies state-of-the-art AI in telecom operations to build the future of networks today, enabling CSPs to offer advanced services and improved user experience to their consumers at a lower cost and realise enhanced operational efficiency,” he said.

Enhancing resource efficiency and reducing cost, NIaaS is an integral part of Mavenir’s market-leading portfolio of solutions enabling autonomous 5G networks.

As network operations become increasingly complex, the capability of autonomous networks has become crucial, with Mavenir’s solutions for autonomous networks leveraging leading open-source frameworks – spanning K8s/container cloud, GitOps-based cloud-native automation, and state-of-the-art AI/ML algorithms – and optimising them for the unique needs of CSPs.

In commercial service, Mavenir’s NIaaS has elevated problem-solving and decision-making capabilities of operational personnel, enabling them to improve network operations productivity, enforce service level agreements, enhance end-user experience, and utilise network resources more efficiently.

The NIaaS provides a visualisation layer displaying the inferencing of output of the ML model in a user-friendly manner, enabling telco operations personnel who do not have a background in data science to easily understand the output of the ML models.

In addition, NIaaS creates a digital twin of the operational network, using generative AI models, to derisk closed-loop operations, whereby the digital twin serves as a live test tool to evaluate optimisation actions suggested by NIaaS, before implementing them on the live network.

-- BERNAMA