US 11,861,713 B2
Virtual reality system for analyzing financial risk
Cesar Romero, North Brunswick, NJ (US)
Assigned to S&P Global Inc., New York, NY (US)
Filed by S&P Global Inc., New York, NY (US)
Filed on Jan. 21, 2020, as Appl. No. 16/748,596.
Prior Publication US 2021/0224910 A1, Jul. 22, 2021
Int. Cl. G06Q 40/06 (2012.01); G06Q 10/0635 (2023.01); G06F 3/16 (2006.01); G06T 19/00 (2011.01); G06N 5/04 (2023.01)
CPC G06Q 40/06 (2013.01) [G06F 3/167 (2013.01); G06N 5/04 (2013.01); G06Q 10/0635 (2013.01); G06T 19/006 (2013.01)] 23 Claims
OG exemplary drawing
 
1. A computer-implemented method for analyzing financial risk of a financial security supported by a fixed asset, the method comprising:
displaying a video on a mobile display system, wherein the mobile display system presents the video using stereoscopic display to provide a virtual reality experience to a user;
performing object detection on the video to identify the fixed asset in the video;
identifying the financial security supported by the fixed asset identified in the video;
displaying a first overlay of financial data about the financial security in association with the fixed asset in the video;
displaying a second overlay that identifies a financial model that was used to determine the financial data about the financial security, and wherein the second overlay further identifies an assumption of the financial model, wherein the assumption is an estimate of an uncertain variable input to the financial model;
updating the assumption of the financial model based on a status of the fixed asset identified in the video, wherein the status of the fixed asset is a physical condition of the fixed asset that impacts the financial risk associated with the financial security supported by the fixed asset;
analyzing financial risk of the financial security based on the financial model and the assumption that was updated, wherein updating the assumption of the financial model further comprises:
using an artificial intelligence system to identify the status of the fixed asset in the video;
using the artificial intelligence system to predict parameters for the financial model based on the status of the fixed asset identified using the artificial intelligence system; and
training the financial model by updating the assumption of the financial model with the parameters predicted for the financial model by the artificial intelligence system; and
receiving a voice command over a voice user interface;
extracting the parameters from the voice command; and
updating the artificial intelligence system based on the parameters extracted from the voice command.