Accenture Global Solutions Limited

Accenture Global Services Gmbh

Pradeepkumar Duraisamy Soundrapandian

Vikrant Shyamkant Kaulgud

Sanjay Podder

Kapil Singi

Vibhu Saujanya Sharma

Venkatesh K Subramanian

Parikshit Maniar

Sanjay Mittal

Sanjeev Vohra

Gurdeep Virdi

Aditya Bhola

Aravindan Thoppe Santharam

Shrikanth Narayanaswamy Chandrasekaran

Afsal Marattil

Michael A Brinkley

Vikrant S Kaulgud

Vibhu S Sharma

Arvindan Thoppe Santharam

In some possible implementations, a device may include one or more memories and one or more processors, communicatively coupled to the one or more memories, to: receive a document that includes a plurality of clauses relating to two or more entities; identify a selected clause, of the plurality of clauses, based on a characteristic of the selected clause; determine a domain-specific language (DSL) unit based on the selected clause, the DSL unit identifying the two or more entities and values associated with the selected clause, identified by the selected clause, associated with the two or more entities; automatically generate a smart contract based on the DSL unit, the smart contract being configured to enforce a condition or action, of the values, between the two or more entities; and perform an action based on the smart contract.

Rapid design, development, and reuse of blockchain environment and smart contracts

A device may receive a first sample. The device may identify a plurality of second samples that are similar to the first sample. The plurality of second samples may correspond to service tickets that have previously been processed. The device may obtain or determine log information identifying a plurality of events associated with the first sample. The device may determine respective probabilities of occurrence corresponding to the plurality of second samples. A probability of occurrence, for a particular second sample, may identify a likelihood of receiving a corresponding service ticket within a particular time period of occurrence of the plurality of events. The device may assign ranks to the plurality of second samples based on the respective probabilities of occurrence. The device may provide information identifying the ranks and the plurality of second samples.

Automated inference of evidence from log information

A device may receive information regarding a software environment and/or one or more modules associated with the software environment; receive information regarding one or more compliance requirements; determine one or more smart contracts based on the information regarding the one or more compliance requirements and the information regarding the software environment and/or the one or more modules associated with the software environment; obtain data regarding the software environment and/or the one or more modules; determine, using the one or more smart contracts, whether the data satisfies the one or more compliance requirements; and add at least part of a block, to a blockchain, to indicate whether the data satisfies the one or more compliance requirements, for realization of a reward or penalty associated with the one or more compliance requirements.

Software assurance and trust in a distributed delivery environment

A device may evaluate first data to identify a plurality of users, where each user, of the plurality of users, is assigned to complete a portion of a group task. The device may evaluate the first data to select a first user, of the plurality of users, for completion of a particular portion of the group task based on a first set of decision criteria. The device may provide, to the first user, information identifying the particular portion of the group task. The device may receive second data relating to the particular portion of the group task after providing information identifying the particular portion of the group task. The device may evaluate the first data to select a second user, of the plurality of users, based on a second set of decision criteria. The device may provide, to the second user, information associated with the second data.

Data processor for integrating agile development projects into an end-to-end development platform

Growing community of inventors

Sivakasi, India

Pradeepkumar Duraisamy Soundrapandian