Overview
Next generation network assurance is not just about keeping the services going, but also involves predicting failures, closing the loop to remove potential faults, and provide fast ticket resolution for any problems that might arise. So, under the umbrella of service assurance, there is a whole gamut of things like
- the health of the network,
- the real-time performance tuning aspect (which means the network must scale up and down based on the varying needs of the customers),
- the network should be self-healing and self-organizing
- capacity planning is also very important, given that the needs are so huge and varied
- the service provider should be able to forecast and foretell the outcomes at a future point in time and take remedial measures to prevent any failures
Thus, the next generation network service operations cover all technologies and domains (2G/3G/4G, wireline, access, core etc) and encompasses the broad areas of network planning, network operations, service quality and customer support.
Network Assure solution is an AI and analytics based solution that helps in optimizing network operations and improve network quality. It uses patented machine learning algorithms, built for network operations, to automatically reduce, correlate and analyze network incidents – in real time. It has a set of building blocks of models and prediction algorithms that can be used as a framework for meeting almost all service assurance needs of network planning, operations, management and support. It has built in pre-programmed templates for addressing use cases for optimizing CAPEX, OPEX, achieve actionable insights and provide enhanced customer experience across domains of operations.
Key Features

Network Assure supports disparate data ingestion that can be structured or unstructured, streaming or batch, from access or core network

Extract, Transform and Load data into logical categories like traffic, events, topology, interface and configuration data

Artificial Intelligence based operations for event correlation and noise filtering, creation of unique root cause incidents for further processing

Crucible of building blocks of models and prediction algorithms that can be used as a framework for meeting almost all service assurance needs of network planning, operations, management and support

Validation of deployed models and real time dashboarding toolbox for quick implementation and onboarding. Fast paced iterarive model development for model tuning

Actionable and intuitive insight generation framework for tuning according to customer requirements

AUTOBOT based intelligent support capability, integrating with incidents, defects and CSR databases

Self healing capabilities for issue remediation, and cognitive suggestions for issue mitigation and trouble shooting