Accenture Global Services Gmbh

Mayank Kant

Arnab Chakraborty

Kaushik Sanyal

Anuj Bhalla

Vinoth Venkataraman

Sachin Sehgal

Vikas Kumar

Rajan Shingari

Madan Kumar Singh

Juan Morlanes Montesinos

Kumar Saurabh

Fernando Rex Lopez

Saket Bhardawaj

Christopher Scott Lucas

Ravi Teja

Sonal Bhutani

Arnab D Chakraborty

A method may include determining first network data corresponding to a first time period, including alarm data and incident data collected by a set of network devices of a core network during the first time period. The method may include creating, based on the first network data, an incident prediction model. The method may include receiving second network data, associated with the core network, corresponding to a second time period. The second network data may include alarm data and incident data collected by a network device, of the set of network devices, during the second time period. The method may include generating, based on the second network data and the incident prediction model, an incident prediction that includes a prediction whether the network device will experience an incident during a third time period.

Core network analytics system

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

Mayank Kant