Accenture Global Solutions Limited

Jeffson Felix Dsouza

Koushik M Vijayaraghavan

Raghavendra Meharwade

Anubhav F Gupta

Aditi Kulkarni

Rajesh Nagarajan

Purnima Jagannathan

Aruna Sivakumar

Rajendra Tanniru Prasad

Bhaskar Ghosh

Mohan Sekhar

Roopalaxmi Manjunath

Shankaranand Mallapur

Pradeep Senapati

Niju Prabha

Parul Jagtap

Sangeetha Jayaram

Badrinath Parameswar

Bontha Pratap

Manas Mishra

Vaijayanthi Ramaswamy

Mahesh Zurale

Ramanathan Venkataraman

Pratap Venkata Naga Poorna Bontha

Nevis Ravi Kumar Rodriguez

Nisha M

Ranjith Tharayil

Khaja Kamal Avaruman Mohammed

Lavanya Keechaneri

Ashwini C Surve

Sakshi A Kapoor

Janagi Madhankumar

Gaurav Goenka

Avinash Mutyala

Minal Baronia Gupta

Nevis Ravikumar Rodriguez

Muthalanghat Nisha

Geeta Sarlashkar

Gaurav Sood

A system may receive enterprise information associated with a client enterprise. The system may select, using an industry analysis model, a set of queries associated with obtaining status information that is associated with a technology profile of the client enterprise. The system may generate client data that is associated with the enterprise information and the status information. The system may convert, using a matrix factorization technique, the client data associated with the client enterprise to a client matrix. The system may convert, using the matrix factorization technique, reference data associated with reference enterprises to a reference matrix. The system may determine, based on a comparison of the client matrix and the reference matrix, a set of scores associated with technology metrics of the technology profile. The system may perform an action associated with the client enterprise based on the set of scores.

Enterprise management system using artificial intelligence and machine learning for technology analysis and integration

In some examples, artificial intelligence based project implementation may include implementing, for a project team, self-evaluation of viability for utilizing a project implementation framework. The project team may be guided on utilization of the project implementation framework. A discussion by the project team may be documented in a digital format during envisioning associated with the project implementation framework, and documented information may be maintained for reference during execution, by the project team, of a journey associated with the project implementation framework. During execution of the journey, implementation of a social contract by the project team may be evaluated. A determination may be made as to whether the social contract is not implemented for at least one specified occurrence associated with the project implementation framework, and at least one impediment associated with the project implementation framework may be identified. The identified impediment associated with the project implementation framework may be remediated.

Artificial intelligence based project implementation

In some examples, artificial intelligence and machine learning based product development may include ascertaining an inquiry, by a user, related to a product that is to be developed or that is under development, and ascertaining an attribute associated with the user. The inquiry may be analyzed to determine at least one virtual assistant from a set of virtual assistants to respond to the inquiry. The determined at least one virtual assistant may be invoked based on an authorization by the user. Further, development of the product may be controlled based on the invocation of the determined at least one virtual assistant.

Artificial intelligence and machine learning based product development

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

Pune, India

Jeffson Felix Dsouza