SYSTEM AND METHOD FOR EMPLOYING THE USE OF NEURAL NETWORKS FOR THE PURPOSE OF REAL-TIME BUSINESS INTELLIGENCE AND AUTOMATION CONTROL

• US 20110055109A1
• Filed: 08/27/2010
• Published: 03/03/2011
• Est. Priority Date: 08/28/2009
• Status: Active Grant

• Current Assignee: UST Global (Singapore) Pte Ltd. (UST Global Incorporated)
• Original Assignee: Pneural, LLC
• Inventors: McGrath, Christie Patrick
• Granted Patent: US 9,659,247 B2
• Time in Patent Office: Days
• US Class Current: 705/348
• CPC Class Codes: G06F 16/27 Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
• CPC Class Codes: G06N 3/02 Neural networks
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/067 Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/10 Office automation; Time management

Abstract

A system and integration infrastructure to provide a distributed matrix or neural network of connected real-time decision support modules designed to perform business intelligence evaluations in real time. The system and integration infrastructure provide a network of intelligence superimposed upon any company'"'"'s existing IT data centers, and cloud computing connections. The system is highly customizable to the unique business model deployed by the client company within the best practices of the client company'"'"'s industry. Whether or not the client company has integrated their diverse enterprise systems, the elements of the matrix are annealed to the various data sources, transaction logs and client software installations currently deployed. These matrix elements or neurons are designed to house critical operational data, determined by the operational model of the client company to be of critical importance. When combined with monitor neurons, they automatically assess the gap between the desired state of a critical element and the current condition in real time. Trigger conditions are pre-established, but modified by an executive controller in real-time, and the system is pre programmed to automatically respond in a prescribed manner to critical conditions having been met even when these conditions come from otherwise stove-piped enterprise applications.

Claims

1. A system for employing the use of neural networks for real time business intelligence and automation control, said system comprising:

a plurality of distributed agent neurons, coupled to at least a first business applications software system, for monitoring on activities occurring within said at least a first business application software system;

a plurality of application interception neuron, coupled between said at least a first business application software system and one or more databases supporting said at least a first business application software system, for intercepting customer information exchanged between said at least a first business application software system and said one or more databases supporting said at least a first business application software system, and for providing additional, perspective information about or relating to a customer from said exchange between said at least a first business application software system and said one or more databases supporting said at least a first business application software system; and

an executive control module, coupled to said plurality of distributed agent neurons and said plurality of application interception neurons, said executive control module including a modeling engine, for simulating the effect of interaction between said plurality of distributed agent neurons, said plurality of application interception neurons and said at least a first business applications software system on the operation of said system in the context of a business enterprise, said executive control module further including a user interface, configured for allowing a user to program the operation of said plurality of distributed agent neurons and said plurality of application interception neurons, and for effectuating said simulation and reporting results of said simulation and of the operation of said system for employing the use of neural networks for real time business intelligence and automation control.

2. The system of claim 1, wherein said is this application software system is selected from the group consisting of a customer relationship management application software system and a customer service system application software system.

3. The system of claim 1, wherein said first business applications software system is provided as an internet provided cloud computing service business application software system.

4. The system of claim 1, where each of said plurality of distributed agent neurons and said plurality of application interception neurons are based on a ‘

soft processing unit’

(SPU) and configured to;

subscribe to and receive notification of system events;

receive messages;

parse XML messages and compile them to the binary form recognizable by the SPU;

set and preserve their state;

store a metadata based rules matrix that will determine whether or not the primary function of the neuron is executed and in what way;

message construction;

message Transmission;

event broadcast; and

construct outgoing messages and transmit outgoing messages to an enterprise message bus or to a list of neuron receptors.