Accenture Global Solutions Limited

Renuka R Jogade

Arvind Maheswaran

Rajarajan Thangavel Ramalingam

Abhijit Kumar

Hitesh Bhagchandani

Sunny Balani

Siddhartha Chakravarty

Neha Kagwad

Mahadevaswamy Basavanna

A machine learning (ML) based intermittent data processing system accesses a collection of intermittent data points, determines a data distribution associated with the collection and generates one or more calculated values based on the data distribution. A simulation can be employed to determine the accuracy of the calculated values based on which, the calculated values can be employed for further processing. The collection of intermittent data points is initially processed to determine if one or more of the data distribution identification, bootstrapping or variability capping techniques are to be applied in order to obtain the calculated values. The calculated values are used to generate visualizations and recommendations.

Distribution selection and simulation of intermittent data using machine learning (ML)

Growing community of inventors

Bengaluru, India

Renuka R Jogade