US 2020/0401887 A1 · METHOD AND SYSTEM FOR AUTOMATICALLY DERIVING QUANTITATIVE DEEP LEARNING BEST VALUE INDEX DATA

Abstract

A method and system for automatically deriving and analyzing quantitative Deep Learning Best Value Index data is provided. The method and system to rank business processes based on multi-factorials and multi-facets parameters of best practice and using Artificial Intelligence (AI) to interpret and verify commonly used individual parameter data-points for specific business processes, weighted with predefined order and class (ranking), in which the sum of the total weight of all the parameters will be the dynamically morphing, applying AI deep learning output to create a dynamic value index (BVI—Best Value Index).

Claims3

Dependent claims

A system for automatically deriving and analyzing quantitative Best Value Index data comprising:

a first computer for calculating a Best Value Index Artificial Intelligence based data analytic algorithms that perform dynamic weighing of a Bayesian system logic to provide users with inference of best options based on user preferences and the BVI deep learning capability;
a second computer incorporating artificial intelligence for interpreting the digital Best Value Index data and dynamic user data;
and
wherein the second computer generates custom user guided option sets based on their previous experiences as well as new dynamic questionnaires generated for specific line of business.)

1 more element

Dependencies are inferred from the claim text.

Method and system for automatically deriving quantitative deep learning best value index data

Life of this patent

Method and system for automatically deriving quantitative deep learning best value index data

Life of this patent

Abstract

Claims3