Accenture Global Solutions Limited

Bhavin Prafulchandra Mehta

Jayant Swamy

Rajendra Tanniru Prasad

Mohan Sekhar

Gopali Raval Contractor

Sriram Lakshminarasimhan

Nitin Madhukar Sawant

Raghavan Tinniyam Iyer

Nilesh Kumar Gupta

Vijeth Srinivas Hegde

Chandrashekhar Arun Deshpande

Manish Bachhania

Rajesh Katta

Ritu Pramod Dalmia

Pragya Sharma

Suja Jain

Santanu Dutta

Juhi A Gupta

Abigail Hart

Achal Srivastava

Subha Pattanayak

Sadanand Padmawar

Vijayakumar Thandavakrishnan

Manish Vijaywargiya

A data management platform may receive an environment configuration for a data environment to be implemented in a data structure, wherein the environment configuration includes requirements of an application. The data management platform may configure, based on the environment configuration, the data environment, to generate a configured data environment. The data management platform may deploy the configured data environment in the data structure. The data management platform may perform one or more tests on data stored in the configured data environment in the data structure to generate one or more test results based on performing the one or more tests on the data. The data management platform may update, based on the one or more test results, the configured data environment, to generate an updated configured data environment, wherein the updated configured data environment meets the requirements of the application.

Data configuration, management, and testing

A device may receive issue resolution information, associated with a cognitive model, including an item of issue resolution information that describes an issue and a resolution to the issue. The device may assign the item of issue resolution information to a domain hierarchy, where the assigning is associated with a first user. The device may generate a question and an answer corresponding to the item of issue resolution information, where the generating of the question and the answer is associated with a second user. The device may approve the question and the answer, where the approving is associated with a third user. The device may generate a question/answer (QA) pair for the question and the answer. The device may create a data corpus including the QA pair, and provide the data corpus to cause the cognitive model to be trained based on the data corpus.

Processing data for use in a cognitive insights platform

A device may receive a feature submission identifying a candidate feature for a software application. The device may pre-process the feature submission to reformat data associated with the candidate feature to match a data format associated with stored information regarding past feature submissions. The device may perform natural language processing on the data associated with the candidate feature to determine a semantic meaning of the candidate feature. The device may compare the semantic meaning of the candidate feature with an index of past feature submissions. The device may provide a response indicating whether the candidate feature matches the past feature submissions wherein the response comprises an indication that the candidate feature does not match any past feature submission or information identifying one or more past feature submissions associated with a threshold semantic similarity to the candidate feature.

Feature submission de-duplication engine

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Bhavin Prafulchandra Mehta