Pwc Product Sales LLC

Winnie Cheng

Chung-Sheng Li

Joseph David Voyles

Scott Likens

Yuan Wan

Todd Christopher Morrill

Joseph Doyle Harrington

Paul Sheward

Saverio Fato

Jonathan B Rhine

William Spotswood Seward

Alexander Nicholas Boldizsar

Mark John Flavell

Kevin Ma Leong

Nancy Alayne Lizotte

Anand Srinivasa Rao

Shaz Hoda

Waqar Sarguroh

Xiaoying Chen

Matthew F Connelly

Craig Sharples

Raymund Anthony Florand Beltran

Lacey A Woolf

Nicholas John Hamer

Rhodri Davies

Kazi Islam

Matthew Lawrence Messina

Jeffrey Kevin Dicker

Luisa Breidt

Ali Rusta-sallehy

Thomas Vincent Giacomucci

Amitoj Singh

Vishakha Bansal

Ratna Raj Singh

Maria Jesus Perez Ramirez

Timothy Delille

Di Zhu

Lori Marie Hallmark

Siddhesh Shivaji Zanj

An entity trust index relating to an entity may indicate a trustworthiness level of the entity. To generate an entity trust index, entity information may be received from one or more information sources. Using the entity information and one or more machine learning models, a performance index, an innovation index, and a sustainability index for the entity may be generated. The entity trust index may be generated based on the performance index, the innovation index, and the sustainability index. One or more actions for the entity that will modify the entity trust index may then be determined.

Systems and methods for measuring trust

A system for automatically generating responses to user queries includes one or more processors, operable when executing instructions to: receive a query from a user, determine a first set of similarity scores between the query and a plurality of stored queries stored in a data store, and determine whether a first similarity score of the first set of similarity scores meets a first threshold. In accordance with a determination that the first similarity score meets the first threshold, the processors are further operable to obtain a set of case information for the current case; retrieve case information for at least one precedent case; determine a second set of similarity scores between the current case and the at least one precedent case; determine whether a second similarity score of the second set of similarity scores meets a second threshold; and generate a response to the query.

Method and apparatus for an AI-assisted virtual consultant

Provided herein are methods and systems for identifying a related data values in a plurality of datasets. The method can include extracting data from the plurality of datasets, identifying potential linking categories, and determining a validity of the potential linking categories. One or more linking categories can be selected from the potential linking categories based on the validity, and related data values can be identified between the plurality of datasets based on the selected linking categories. Also provided herein are methods and systems for classifying data values as reconciled or non-reconciled. The method can include identifying a plurality of related data values in a plurality of datasets. For each of the plurality of related data values, a similarity score and confidence score can be determined, and the plurality of related data values can be classified as reconciled or non-reconciled based on the similarity score and/or the confidence score.

AI-augmented composable and configurable microservices for record linkage and reconciliation

An exemplary system for constructing data structures that can perform inferential reasoning to answer input queries may receive input data, extract and cluster entities in the input data into topic clusters, and for a first topic cluster construct a data structure comprising a plurality of nodes, wherein nodes of the data structure respectively represent a topic entity extracted from the input data and grouped into the first topic cluster, and wherein a first node of the data structure is associated with a second node of the data structure based on the first node and the second node respectively representing a first topic entity and a second topic entity associated in the input data with a common one of the one or more identified linguistic modalities. An exemplary system comprising the data structure may receive an input query and generate a response to the input query using the data structure.

Method and apparatus for knowledge representation and reasoning in accounting

Systems and methods for automated document processing for use in AI-augmented auditing platforms are provided. A system for determining the composition of document bundles extracts substantive content information and metadata information from a document bundle and generates, based on the extracted information regarding a composition of the document bundle. A system for validating signatures in documents extracts data representing a spatial location for respective signatures and generates a confidence level for respective signatures, and determines, based on location and confidence level, whether signature criteria are met. A system for extracting information from documents applies a set of data conversion processing steps to a plurality received documents to generate structured data, and then applies a set of knowledge-based modeling processing steps to the structured data to generating output data extracted from the plurality of electronic documents.

AI-augmented auditing platform including techniques for automated document processing

Growing community of inventors

West New York, NJ, United States of America

Winnie Cheng