Accenture Global Services Gmbh

Wipro Limited

Gurdeep Virdi

Alex M Kass

Vikrant Shyamkant Kaulgud

Sanjoy Paul

Vibhu Saujanya Sharma

Alpana A Dubey

Anurag Dwarakanath

Srinivas Yelisetty

Suma Mani Kuriakose

Senthil Kumar Kumaresan

Parikshit Maniar

Saurabh Bhadkaria

Sanjeev Vohra

Sanjay Mittal

Pradeepkumar Duraisamy Soundrapandian

Aravindan Thoppe Santharam

Brett Goldstein

Aditya Bhola

David Morse

David Q Sun

Michael A Brinkley

Masoud Loghmani

Sakshi Taneja

Arvindan Thoppe Santharam

Vikrant S Kaulgud

Vibhu S Sharma

This disclosure relates to a method and system for identifying products using digital fingerprints. The method includes receiving, by a product tracking system, a set of images corresponding to a product, wherein the set of images are received along with associated context information. The method generates a set of standardized images by pre-processing the set of images. Each standardized image of the set of standardized images are further segmented into a plurality of zones. A zone wise fingerprint is generated for each zone of the plurality of zones. A product digital fingerprint is generated for the product by combining zone wise fingerprints associated with the set of standardized images, wherein the product digital fingerprint identifies the product.

Method and system for identifying products using digital fingerprints

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

A system may receive task information identifying tasks to be performed by workers of one or more crowds. The system may obtain worker information describing the workers. The system may determine task completion probabilities based on the task information and the worker information. A task completion probability may identify a likelihood that a particular crowd will complete a particular task. The system may determine crowd recommendation information based on the task completion probabilities, the task information, and/or the worker information. The crowd recommendation information may identify recommended crowds to which a task is recommended to be provided. The system may output the crowd recommendation information and/or the worker information to permit selection of the crowds to perform the task.

Crowdsourcing a task

A collaboration system provides a combination of technical features to address complex collaboration between geographically distributed teams. The collaboration system implements follow and notify functionality, monitor and engage functionality, and capture functionality. The collaboration system may, for instance, tailor data flows and notifications of significant workflow events via a dynamically tuned subscription model. The system may also create a digital collaboration workspace supported by automation and machine learning functionality. In addition, the system may create documentation of collaboration with automatic recommendation of metadata tags to support search and cataloging of the documentation.

Digital collaboration process enablement tool

A travel management system may include a client module to generate a request to update and/or search for data related to a trip. A database module may receive the request and communicate with a database. The database may include data organized in a trip data store table including unique keys respectively identifying trips. The database may further include index tables related to attributes of the trips and identified by the unique keys. The database module may obtain data related to the request from an index table corresponding to a unique key and forward a response to the client module.

Travel management

Growing community of inventors

Bengaluru, India

Gurdeep Virdi