Tech Mahindra, a global leader in technology consulting and digital solutions, has entered into a multi-year Strategic Collaboration Agreement (SCA) with Amazon Web Services (AWS) to create an Autonomous Networks Operations Platform (ANOP). This new platform, designed for Communication Service Providers (CSPs) and enterprise customers, leverages advanced technologies such as artificial intelligence (AI), machine learning (ML), and generative AI (GenAI) to revolutionize network operations, transitioning them from on-premises infrastructure to a real-time, proactive, and preventive hybrid cloud model.

Key Features of the Collaboration

1. AI-Powered Network Management
The ANOP platform combines Tech Mahindra's GenAI capabilities and telecom networks expertise with AWS's powerful tools, including Amazon SageMaker. This integration enables CSPs to transition to a more agile and intelligent network management system. Key features include:

• Improved Productivity: The platform enhances Network Operations Center (NOC) productivity for teams managing both physical and cloud infrastructure by over 50%.
• Reduced Field Visits: The integration of AI-driven insights reduces the need for field visits by more than 15%.
• Faster Incident Resolution: The Mean Time to Repair (MTTR) for network and service incidents is shortened by over 30%, accelerating issue resolution.

2. Accelerated Configuration Implementation
The platform is designed to speed up the implementation of network and service configurations, achieving improvements of over 30% in speed and efficiency. This enables faster deployment of network upgrades and services, optimizing operational flow for telecom providers.

3. Generative AI and Amazon Bedrock Integration
AWS’s Amazon Bedrock will provide high-performing foundation models (FMs) for building GenAI applications with enhanced security, privacy, and responsible AI practices. This will enable proactive network management by offering real-time insights and intelligent workflows.

Impact on Telecom Operations

1. Empowering Telecoms with AI-Driven Insights
The integration of GenAI into the ANOP platform offers actionable and just-in-time recommendations for telecom operators. This includes:

• NOC Operations Optimization: AI-driven recommendations enhance the efficiency of Network Operations Centers.
• Field Dispatch Optimization: GenAI enables smarter decisions for field operations, reducing unnecessary dispatches and enhancing resource allocation.
• Automated Self-Healing: The platform supports preventive actions to automate network self-healing, reducing downtime and improving reliability.

2. O-RAN Adoption and Network Modernization
Tech Mahindra is also validating O-RAN functions on AWS’s EKS Anywhere (EKS-A) platform, which will accelerate the cloudification of RAN at the edge. This collaboration enables CSPs to adopt Open RAN (O-RAN) technology, which is vital for modernizing network infrastructures, ensuring greater flexibility, and fostering innovation in network management.

Executive Insights

Manish Mangal, Chief Technology Officer at Tech Mahindra, highlighted:

"The communications industry is at a pivotal junction in deploying disaggregated, virtualized, and cloud-native RAN networks. Our collaboration with AWS empowers telcos to simplify operations, modernize networks, and unlock revenue through advanced artificial intelligence and machine learning."

Robin Harwani, Head of Telco Industry Solutions at AWS, added:

"This collaboration to integrate AWS's AI/ML, including generative AI offerings, is an important step to help telco operators accelerate their network operations transformation, enabling operators to more proactively manage and optimize network performance."

The collaboration between Tech Mahindra and AWS marks a significant step toward transforming network operations for CSPs globally. By integrating cutting-edge technologies like AI, ML, and GenAI, the ANOP platform will streamline operations, reduce costs, and improve network performance. This collaboration not only modernizes network infrastructure but also accelerates the adoption of cloud-native technologies and O-RAN, paving the way for more efficient, proactive, and intelligent network management.