Accenture Global Solutions Limited

Naveen Bansal

Madhura Shivaram

Chinnappa Guggilla

Praveen Maniyan

Chung-Sheng Li

Guanglei Xiong

Emmanuel Munguia Tapia

Colin Connors

Suraj Govind Jadhav

Mohammad Jawad Ghorbani

Sumeet Sawarkar

Kyle Patrick Johnson

Saurabh Mahadik

Nagendra Kumar M R

Christopher Cole

Karthik Meenakshisundaram

Sachin Aul

Sudhanshu A Dwivedi

Ankit Pandey

Hariram Krishnamurth

Karthik Lakshminarayanan

A device may analyze a set of unstructured documents of an organization associated with a domain to identify a first set of entities. The device may analyze a set of semi-structured documents of the organization to determine a second set of entities. The device may filter the first set of entities using the second set of entities. Filtering the first set of entities may include removing, from the first set of entities, one or more entities that do not satisfy a threshold level of similarity with entities included in the second set of entities. The device may consolidate the filtered first set of entities and the second set of entities to identify a set of key entities. The device may provide the set of key entities to a user device to allow the set of key entities to be annotated and used for one or more machine learning models.

Identification of domain information for use in machine learning models

A curator captures input data corresponding to service tasks from an external source. Further, a browser extension collects intermediate service delivery data for the service tasks from the external source. Subsequently, a learner stores the input data and the intermediate service delivery data as training data. Then, a receiver receives a service request from a client. The service request is indicative of a service task to be performed and information associated with the service task. Further, an advisor processes the service request to generate an intermediate service response. Thereafter, the advisor determines a confidence level associated with the intermediate service response and ascertains whether the confidence level associated with service response is below pre-determined threshold level. If the confidence level is below a pre-determined threshold level, the advisor automatically generates a final service response corresponding to service request based on training data.

Integrated service centre support

Growing community of inventors

Delhi, India

Naveen Bansal