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Andrew Bonwick
Vice President of Product Development at Relm Insurance
Madhav Sheth
CEO of Ai+ Smartphone
Stephen Rose
CEO Render Networks
Technology consulting and digital solutions company Tech Mahindra has developed a new Multi-Modal Network Operations Large Language Model to help telecom operators leverage artificial intelligence (AI) for automating network operations. The model was developed using Nvidia AI Enterprise software and Amazon Web Services (AWS) cloud infrastructure, along with Meta’s Llama 3.1 8b Instruct model. The company said it has “heavily customised” the model for telecom networks, by training on large network datasets and applying the latest generative AI and agentic AI frameworks.
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Also Read: Tech Mahindra and AWS Collaborate to Develop AI-Powered Network Operations Platform
Multi-Modal Network Operations Model
The model is designed to manage vast structured data (events, alarms, counters), unstructured data (logs, MOPs, SOPs, images, text, marketing), and all relevant network data, allowing proactive issue resolution and enhanced service quality. Tech Mahindra said on Tuesday that the model enables the transformation of traditional telecom networks into fully autonomous networks (L4 and above).
While telcos have been implementing AI use cases with a transactional approach, achieving true operational efficiency requires a holistic embedding of AI capabilities within the network, the company noted.
Collaboration with Nvidia and AWS
Tech Mahindra emphasised that its collaboration with Nvidia and AWS is “facilitating this transition and helping the telecom industry harness the full potential of AI for enhanced performance and operational excellence.”
This collaboration integrates Tech Mahindra’s network automation platform, netOps.ai, with the Tech Mahindra Optimised Framework (TENO), which incorporates Nvidia AI Enterprise software, including NeMo and NIM microservices. Additionally, it utilises AWS services such as Amazon Elastic Container Registry (Amazon ECR), Amazon Elastic Compute Cloud (Amazon EC2), and Amazon Elastic Kubernetes Service (Amazon EKS).
Key AI-Driven Use Cases
In the initial phase of the development, the new Model will focus on improving operational efficiency through “Intelligent Observability,” introducing two key AI-driven use cases.
