Abstract: A system or technique can analyze metadata from a first set of images using a neural network to identify classification information about individuals depicted in the images. The system generates data based on this classification information, including attributes of the individuals, and compares this data against predefined criteria for image presentations. If any attributes are found to be non-compliant with the criteria, the system queries a database of second image metadata linked to a set of images. This database includes data generated from prior presentations and classification information provided by individuals depicted in the images. The system locates compliant attributes in the second image metadata, retrieves an image linked to these compliant attributes, and modifies a presentation to include the retrieved image.
Type:
Grant
Filed:
November 18, 2024
Date of Patent:
March 18, 2025
Assignee:
Citigroup Inc.
Inventors:
Misty Stiers, Christopher James Byrne, Kirk M. Lewis, II, Miriam Silver
Abstract: A document is obtained that include natural language text and a set of conditions are extracted from the document. In at least one embodiment, the set of conditions is extracted using a machine learning model trained on other natural language text. A validation process is performed to result in a validated set of conditions and a machine-readable data structure is generated to indicate one or more conditions of the validated set of conditions expressed within the document.
Type:
Grant
Filed:
September 3, 2024
Date of Patent:
January 21, 2025
Assignee:
Citigroup Inc.
Inventors:
Ernst Wilhem Spannhake, II, Gayathri Venkat, Hiten Jayantilal Shah, Thomas Francis Gianelle
Abstract: Presented herein are systems and methods for determining root cause of errors during execution of multiple applications. Systems include at least one processor to detect a cause analysis instruction identifying one or more systems; receive error metadata associated with a first operation error; determine a first debug operation set based on the error metadata; determine a first result associated with a first debug operation of the first debug operation set; and determine a second result associated with a second debug operation based on the first result for the first debug operation. The one or more processors can generate an error report based on the first result and the second result, the error report indicating each result and a next debug operation set of one or more next debug operations.