Tech Mahindra Partners with AWS to Launch Autonomous Networks Operations Platform

In a significant development for the telecommunications sector, Tech Mahindra has announced a strategic collaboration with Amazon Web Services (AWS) to create an Autonomous Networks Operations Platform (ANOP). This partnership, formalized through a multi-year Strategic Collaboration Agreement (SCA), aims to leverage advanced technologies such as artificial intelligence (AI), machine learning (ML), and generative AI (GenAI) to enhance the operational efficiency of Communication Service Providers (CSPs) and enterprise clients.

Overview of the Partnership

The collaboration was officially announced on November 27, 2024, and marks a pivotal moment for both companies as they seek to transform traditional telecom operations. The ANOP platform is designed to facilitate a transition from conventional on-premises network management to a more agile, real-time, proactive model operating on a hybrid cloud infrastructure.

Key Objectives:

• Enhance Operational Efficiency: The platform aims to improve Network Operations Center (NOC) productivity by over 50%, significantly reducing the need for field visits by more than 15%.
• Reduce Repair Times: It is expected to shorten the Mean Time to Repair (MTTR) for network and service incidents by over 30%, thereby enhancing service reliability.
• Accelerate Implementation: The ANOP platform will enable CSPs to implement network and service configurations more swiftly, achieving improvements of over 30% in speed and efficiency.

Technological Features

The ANOP platform integrates several cutting-edge technologies:

• AWS Services: By utilizing AWS's machine learning services, particularly Amazon SageMaker, the platform allows users to build, train, and deploy ML models tailored for specific network use cases. This integration provides a robust infrastructure that supports various telecom applications.
• Generative AI Capabilities: The inclusion of Amazon Bedrock offers access to high-performing foundation models from leading AI enterprises through a single API. This feature is crucial for developing GenAI applications while ensuring security and privacy.
• Real-Time Insights and Automation: The platform delivers actionable insights and intelligent workflows that support Open Radio Access Network (O-RAN) adoption. This capability is essential for proactive network management and operational optimization.

Industry Impact

Tech Mahindra's Chief Technology Officer, Manish Mangal, emphasized that the telecommunications industry is at a critical juncture with the deployment of disaggregated, virtualized, and cloud-native RAN networks. He stated that this collaboration empowers telcos to simplify operations and modernize their networks while unlocking new revenue streams through advanced AI and ML technologies.

Similarly, Robin Harwani, Head of Telco Industry Solutions at AWS, highlighted that the integration of generative AI into the ANOP platform would provide telco operators with actionable recommendations for optimizing NOC operations and automating self-healing processes. This integration is expected to enhance network performance management and significantly reduce operational expenditures.

Current Implementation

Tech Mahindra is already in the process of implementing the ANOP platform for a leading communications provider in Europe. This pilot project aims to optimize network operations through process automation and advanced analytics. The successful deployment will likely serve as a model for future implementations across various global telecom operators.

Future Prospects

The partnership between Tech Mahindra and AWS represents a forward-thinking approach to addressing the challenges faced by CSPs in an increasingly complex digital landscape. As telecom networks evolve towards greater virtualization and cloud-native architectures, platforms like ANOP will be instrumental in enabling operators to remain competitive while enhancing service delivery.

The collaboration also includes ongoing testing and validation of O-RAN functions using Amazon's EKS Anywhere (EKS-A) platform. This joint effort aims to accelerate the cloudification of RAN at the edge, which is crucial for improving overall network efficiency and performance.

Conclusion

The launch of the Autonomous Networks Operations Platform by Tech Mahindra in partnership with AWS signifies a transformative step in telecommunications. By harnessing the power of AI and machine learning, this initiative promises not only to streamline operations but also to foster innovation within the industry. As CSPs continue to navigate the complexities of modern networking environments, solutions like ANOP will be vital in driving operational excellence and enhancing customer experiences.

This partnership reflects a broader trend within the telecom sector towards embracing advanced technologies to meet evolving market demands while ensuring sustainable growth.

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