Accenture Global Solutions Limited

Nisha M

Niju Prabha

Shankaranand Mallapur

Jeffson Felix Dsouza

Raghavendra Meharwade

Anubhav F Gupta

Aruna Sivakumar

Avinash Mutyala

Geeta Sarlashkar

Lavanya Keechaneri

Bontha Pratap

In some examples, artificial intelligence and machine learning based project management assistance may include ascertaining an inquiry by a user. The inquiry may be related to a project. An attribute associated with the user and an attribute associated with the project may be ascertained. The inquiry may be analyzed based on the ascertained attributes associated with the user and the project. A predictor category may be identified, based on the analyzed inquiry, from a plurality of predictor categories that include a performance predictor category, a quality predictor category, a retrospect predictor category, and a planning predictor category. A predictor from a plurality of predictors may be identified based on the identified predictor category. A response to the inquiry may be generated based on execution of the identified predictor. Further, a display responsive to the inquiry may be generated based on the generated response.

Artificial intelligence and machine learning based project management assistance

Growing community of inventors

Bengaluru, India

Nisha M