Accenture Global Services Gmbh

Madan Kumar Singh

Sachin Sehgal

Anuj Bhalla

Mayank Kant

Per Osterman

Petter Bohman

Niclas Poldahl

Christopher Scott Lucas

Ravi Teja

Sonal Bhutani

Petter Boham

A system for discovery and analysis of network data usage of users of a communication network may collect information related to data usage over a network. The system may determine network data usage patterns for users from the data usage information. The network usage data, usage patterns and additional information may be analyzed to create user segments, and to analyze network data usage for the user segments. Differentiated data services may be created and implemented based on the network data usage for the user segments.

Network usage monitoring and analytics for differentiated data services

In an example, network node failures may be predicted by extracting performance metrics for the network nodes from a plurality of data sources. A fail condition may be defined for the network nodes and input variables related to the fail condition for the network nodes may then be derived from the extracted performance metrics. A plurality of models may then be trained to predict the fail condition for the network nodes using a training set from the extracted performance metrics with at least one of the identified input variables. Each of the plurality of trained models may be validated using a validation set from the extracted performance metrics and may be rated according to predefined criteria. As a result, a highest rated model of the validated models may be selected to predict the fail condition for the network nodes.

Network node failure predictive system

Growing community of inventors

Bengaluru, India

Madan Kumar Singh