Accenture Global Services Gmbh

Ravi Teja

Anuj Bhalla

Sachin Sehgal

Mayank Kant

Madan Kumar Singh

Christopher Scott Lucas

Sonal Bhutani

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.

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Bengaluru, India

Ravi Teja