SYSTEM AND METHOD OF PREDICTIVE MODELING FOR MANAGING DECISIONS FOR BUSINESS ENTERPRISES

Patent №

US 7,389,211

Granted

2008-06-17

Filed 2004

Owner

UNIVERSAL RISK MANAGEMENT LLC

Lab

AI components

4

ml · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

10838138

A system and method is provided for predictive modeling of technical and non-technical components in a business infrastructure that implementing one or more business solutions. According to a first aspect of the invention, performance metrics generated from a predictive model of a business infrastructure are translated into enterprise decision or indicators that correspond to the service, performance and financial states of a business enterprise. As a result, non-technical executives can utilize the enterprise decision metrics or indicators to evaluate, support, and monitor the effect of business decisions, for example, with respect to profitability, productivity, growth, and risk of the business. According to a second aspect of the invention, the accuracy of the predictive modeling is improved by mathematically expressing the dynamic characteristics and behavior of each infrastructure component as a result of direct and indirect effects of the infrastructure components impacting one another. Perturbation theory can be used to express direct and indirect effects.

Machine learningKnowledge representationPlanningAI hardwareG06Q 10/06G06F 17/10G06Q 10/06393G06T 11/206G06T 11/26

AI classification

Planning1.00
Machine learning1.00
AI hardware1.00
Knowledge representation0.64
Natural language0.13
Speech0.00
Evolutionary computation0.00
Vision0.00

Ownership

UNIVERSAL RISK MANAGEMENT LLC

assignment · 445840929

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