Pwc Product Sales LLC

Joseph Doyle Harrington

Chung-Sheng Li

Joseph David Voyles

Winnie Cheng

Scott Likens

Yuan Wan

Todd Christopher Morrill

William Spotswood Seward

Alexander Nicholas Boldizsar

Jonathan B Rhine

Saverio Fato

Paul Sheward

Jacob T Wilson

Jayakumar Pillai

Lindsey P Lewis

Vinston Sundara Pandiyan Sigamani

Benjamin Cunningham

Abhishek Sanghavi

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

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

Methods and systems for artificial intelligence (AI)-assisted document annotation and training of machine learning-based models for document data extraction are described. The methods and systems described herein take advantage of a continuous machine learning approach to create document processing pipelines that provide accurate and efficient data extraction from documents that include structured text, semi-structured text, unstructured text, or any combination thereof.

Methods and systems for artificial intelligence- assisted document annotation

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Granite Bay, CA, United States of America

Joseph Doyle Harrington