Developed cloud native autonomous operations stack in-house covering Hybrid Cloud Deployments, Management and Orchestration (MANO), Network Management System (NMS) and Adaptive Troubleshooting, Operations and Management Platform (ATOM). Solution design is aligned to TM Forum Business Process Framework (eTOM) and TM Forum Information Framework (SID) models leveraging Open APIs; compliant with 3GPP and ETSI for easy integration
over five years
and highest customer NPS in Jio’s history
of the time.
Senior Vice President
"Future telecom networks will not only have to support millions of subscribers but also need to support connected intelligence by enabling millions of devices. There will be a continuous need for on-demand scaling of the telecom network to meet the exponentially growing data and signaling requirements. Hence the operational procedures of modern networks must be automated. Developing in-house saves over a billion dollars in license costs, AMCs, product evolution, operations, and managed services costs, When you add everything up, considering network expansions as well, even going with the most conservative global benchmarks, the cost savings exceed $1.5 billion as a five-year TCO, which has a direct benefit to the telecom business. In addition to that, having their own 4G IMS solution plus ATOM automation has lowered Jio’s call drops to less than 0.1% for the first time, and resulted in the highest NPS customer scores in Jio’s history."
Many telecoms operators grasp the notion that automation is the future of network operations. There are plenty of solutions out there to help operators achieve that level of automation. Jio Platforms decided to take the DIY route by developing its own autonomous operations stack. The solution – which is based on several TM Forum assets and is compliant with 3GPP and ETSI standards for easy integration – enables end-to-end automation, lifecycle management and orchestration of network functions and cloud infrastructure. All the solutions within the stack have already been deployed in Reliance Jio’s network, and the results indicate it was worth every R&D rupee. Jio Platforms lists several benefits that the operator is now enjoying with its autonomous operations capabilities, from cost reduction and increased productivity to better system performance and reliability. Automated configuration of data and changes in the network have resulted in improved service quality and performance. Network monitoring and optimization in terms of usage and availability of resources enables operations to identify the root cause of issues. Automation also enables model-driven repeatable service deployment through orchestration, as well as policy-based workload placement for better performance and cost optimization for specific service needs. Jio Platforms says the autonomous operations stack also future-proofs Jio’s service deployment ambitions by enabling rapid deployment, provisioning and orchestration of network functions and services across networks – which of course creates new revenue opportunities and speeds up “time-to-cash.”
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