Jpmorgan Chase Bank, N.a.

Keshav Ramani

Sameena Shah

Tucker Richard Balch

Maria Manuela Veloso

Daniel Borrajo

Naftali Y Cohen

Armineh Nourbakhsh

Manuela Veloso

Salwa Husam Alamir

Zhen Zeng

Simerjot Kaur

Russell Kociuba

Cecilia Tilli

Mathieu Sibue

Suchetha Siddagangappa

Charese Smiley

Srijan Sood

Toyin Aguda

Amit Aswani

Samuel Angmor Mensah

Pietro Totis

Elena Kochkina

Jonathan Roger Horn

Jade Fallen

Steven Pomerville

Systems and methods for extracting information from a resume of an applicant are provided. The method includes: receiving a resume that relates to an applicant; extracting information that relates to applicant attributes from the resume; comparing the extracted information with a predetermined list of job-specific skills and with a predetermined list of characteristics that relate to soft skills; using the extracted information to determine applicant achievements; and determining at least one skill that corresponds to the applicant. The method may be implemented by using a deep learning technique and/or a natural language processing technique.

Method and system for resume data extraction

A method for automating a process of generating messages that are responsive to client inquiries by using an AI algorithm that implements a machine learning technique to ensure accuracy and timeliness in the responses is provided. The method includes: receiving a first message that includes an inquiry that relates to an account associated with a user; applying an AI algorithm for analyzing the first message in order to extract information that relates to the inquiry; determining, based on a result of the analysis, whether generating a response to the inquiry requires human intervention; when human intervention is not required, retrieving information that is responsive to the inquiry from a memory; generating a second message that includes the information that is responsive to the inquiry; and transmitting the second message to the user.

Method and system for automated message generation

Systems and methods for privacy-preserving summarization of digital activity are disclosed. According to one embodiment in an information processing apparatus comprising at least one computer processor and at least one display, a privacy-preserving digital activity computer program performing the following: (1) capturing a blurred or pixelated screenshot of the at least one display; (2) identifying a plurality of computer application visible in the blurred or pixelated screenshot; (3) identifying a foreground or actively-used application out of the plurality computer applications in the blurred or pixelated screenshot; and (4) logging the visible computer applications and the foreground or actively-used application.

Systems and methods for privacy-preserving summarization of digital activity

A method for using images that represent time-series data to forecast future images depicting future values as pixelated information is provided. The method includes: receiving a first set of time-series data; converting the received first set of time-series data into a first image; and using the first image to forecast a future image depicting future values as pixelated information that corresponds to a future time interval Training sets of time-series data are used to generate historical data that provides input to a machine learning algorithm, which provides, as an output, a composite image that depicts the future values as pixelated information that reflects associated uncertainties in the value predictions.

Method for automatically identifying signals or patterns in time series data by treating series as image

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Jersey City, NJ, United States of America

Keshav Ramani