Jpmorgan Chase Bank, N.a.

Vineeth Ravi

Jessica Staddon

Sameena Shah

Armineh Nourbakhsh

Manuela Veloso

Simran Lamba

Cecilia Tilli

Sam Faye

Jay Katukuri

Francesca Mosca

Christopher Stang

In some aspects, the techniques described herein relate to a method including: receiving, as input to a binary search process, a subject vector embedding and a class vector embedding, wherein the subject vector embedding is generated from a plurality of subject text strings and wherein the class vector embedding is generated from a class text string; generating a similarity score; determining that the similarity score is below a threshold value; splitting the plurality of subject text strings into a first new plurality of subject text strings and a second new plurality of subject text strings; receiving a new subject vector embedding, wherein the new subject vector embedding is generated from the first new plurality of subject text strings; and calling the binary search process recursively using the new subject vector embedding and the class vector embedding as input to the binary search process.

Systems and methods for detecting miscategorized text-based objects

A method for performing differential routing based on message content. The method includes receiving, from a user device, a message inquiry; identifying and extracting one or more keywords from the message inquiry; determining, for each of the one or more keywords, a corresponding tag type; predicting a conversation length based on the determined tag type for each of the one or more keywords; determining whether the message inquiry is amenable to being serviced by an automated service; and routing the message inquiry based on the determining whether the message inquiry is amenable to being serviced by the automated service.

System and method for providing message content based routing

A method for using artificial intelligence and machine learning to automatically generate commentary that relates to quantitative data is provided. The method includes: receiving a first tabular data set; identifying a first cell having numeric data from within the first tabular data set; associating a first column header and a first row header with the first cell; assigning a respective header type to each of the first column header and the first row header; mapping each of the first cell, the first column header, and the first row header to a first comment from among a set of comments; and augmenting the first comment by generating additional text that supplements the first comment.

Method and system for conditioned generation of descriptive commentary for quantitative data

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Jersey City, NJ, United States of America

Vineeth Ravi