Nancy Abrams Carrier

US Patent:

20210295338, Sep 23, 2021

Filed:

Jun 2, 2020

Appl. No.:

16/890175

Inventors:

- Charlotte NC, US
Andrew Vlasic - Charlotte NC, US
Jeremiah Thompson - Charlotte NC, US
Nancy T. Carrier - Charlotte NC, US
Selvakumar Albert - Charlotte NC, US

International Classification:

G06Q 20/40
G06Q 10/10
G06Q 40/02
G06Q 30/00
G06Q 50/00
G06Q 50/26
G06F 16/21
G06N 3/04
G06N 3/08
H03M 7/30

Abstract:

Aspects of the disclosure relate to using machine learning techniques for generating automated suspicious activity reports (SAR). A computing platform may generate a labelled transaction history dataset by combining historical transaction data with historical report information. The computing platform may train a convolutional neural network using the labelled transaction history dataset. The computing platform may receive new transaction data and compress the new transaction data using lossy compression. The computing platform may input the compressed transaction data into the convolutional neural network, which may cause the convolutional neural network to output a suspicious event probability score based on the compressed transaction data. The computing platform may determine whether the suspicious event probability score exceeds a predetermined threshold and, if so, the computing platform may send one or more commands directing a report processing system to generate a SAR, which may cause the report processing system to generate the SAR.

US Patent:

20150154615, Jun 4, 2015

Filed:

Dec 4, 2013

Appl. No.:

14/096433

Inventors:

- Charlotte NC, US
Hemant Kagade - Charlotte NC, US
Sudeshna Banerjee - Waxhaw NC, US
Marc Douglas Halsted - Charlotte NC, US
Seyamak Amin - Plano TX, US
Nancy Teter Carrier - Jacksonville FL, US
Greg D. Farley - Tega Cay SC, US
Dilip Nair - Charlotte NC, US
David Neil Joffe - Charlotte NC, US
David Joa - San Bruno CA, US

Assignee:

BANK OF AMERICA CORPORATION - Charlotte NC

International Classification:

G06Q 30/02

Abstract:

Systems, methods, computer-readable media, and apparatuses for receiving transaction data associated with a transaction between a first business entity and a second business entity are provided. Data may be extracted from the transaction data to determine a category of the transaction. In some examples, an identity of a first and/or second business entity may be determined from the transaction data and/or additional data. One or more business characteristics of the first or second business entity may be determined based on the identity of the business and the category of the transaction. Accordingly, a network of other business related or having potential to be related to the business entities may be identified (e.g., potential or current vendors, suppliers, service providers, customers, and the like).