Accenture Global Solutions Limited

Manisha Dubey

Rajneesh Soni

Manish Sharma Kolachalam

Siddesha Swamy

Kanakalata Narayanan

Babu Xavier Raj

Anuradha Swaminathan

Kumar A Gupta

Maria Encarnacion Garcia

Rodolfo Catral, Jr

Genesis Navarro

Clarris C Tolentino

Phani Kumar Chandu

Winston O Cruz

Muhammad J Salas

Ranjan Kumar Jena

Rajnikant Dutt

Suket Kumar Jain

A system and method provide a trained model that uses vectorized word embeddings that are averaged or summed to form representations for sentences and phrases. The representations are processed in a Siamese neural network including multiple LSTM stages to find semantically related matches in catalogs for non-catalog queries. The model is trained using catalog data and randomized data using a contrastive loss function to generate similarity metrics for catalog-non-catalog pairs.

Catalog adoption in procurement

An automation optimization engine is disclosed that provides a closed loop nodal analysis on a process performance tree. By analyzing an observed process and identifying automatable tasks from non-automatable tasks from the observed process, the automation optimization engine then applies machine learning techniques to generate a recommendation report identifying steps for implementing in the observed process to convert the non-automatable tasks into automatable tasks. Optimization is thus achieved to close the loop to further automate the observed process.

Closed loop nodal analysis

A robotic operations control system enables seamless distribution of tasks among a blended workforce that includes human employees and robot assistants. The robot assistants include an intelligent billing assistant (IBA), an intelligent collections assistant (iNCA), a dispute resolution assistant (DRA) and a cash processor. Each of the assistants includes a workflow manager that receives work items to be processed by the robot assistant based on the priority levels assigned to the work items. The IBA includes a dispute prediction model that predicts the likelihood of dispute for a work item and automatically generates a customized checklist. The iNCA includes an AI prioritizing assistant that identifies priorities for work items to be processed. The DRA includes an AI assisted investigator that expedites investigations of disputes by proactively gathering information for a human employee to review and mark the dispute as valid, invalid or for query.

Robotic operations control system for a blended workforce

An automation identification diagnostic tool (AIDT) is disclosed that records and analyzes actions within a program that are taken by an agent to accomplish certain tasks. By recording the action steps to accomplish a task in a recording session data file, the AIDT is then able to analyze the recording session data file to identify steps for conversion to automated tasks.

Automation identification diagnostic tool

Growing community of inventors

New Delhi, India

Manisha Dubey