Method, program and system for the implementation of cognitive business processes

US 20060085205A1
Filed: 10/08/2004
Published: 04/20/2006
Est. Priority Date: 10/08/2004
Status: Abandoned Application

First Claim

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1. A method for implementing a cognitive business process comprising:

using at least one actionable step that constitutes a prospective business transaction;

using a knowledge base and a knowledge engine to determine a business context for the prospective business transaction; and

using the knowledge base and knowledge engine to provide a party with consultation for the at least one actionable step of the prospective business transaction.

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Abstract

A cognitive business process (CBP) for use by an enterprise. A knowledge engine and knowledge base are used by an end user when information is received regarding a potential business transaction. The knowledge engine uses the information about the potential business transaction, goals of the business enterprise and knowledge residing within the knowledge base to determine a business context of the business transaction and develop a plan to be implemented by the business enterprise for use at each step of the business transaction. The plan provides suggestions about how to provide value for a prospective business partner and addresses the prospective business partner'"'"'s needs and objectives at each step of the plan. The plan also considers the needs and objectives of the business enterprise.

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122 Claims

1. A method for implementing a cognitive business process comprising:
- using at least one actionable step that constitutes a prospective business transaction;
  
  using a knowledge base and a knowledge engine to determine a business context for the prospective business transaction; and
  
  using the knowledge base and knowledge engine to provide a party with consultation for the at least one actionable step of the prospective business transaction.
- View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51)
- - 2. The method of claim 1, wherein the consultation provides coaching and strategies for the at least one actionable step in the prospective business transaction to be performed by the party.
  - 3. The method of claim 1 further comprising receiving information regarding the prospective business transaction.
  - 4. The method of claim 3, wherein the information is received from an enterprise application.
  - 5. The method of claim 3, wherein the information is received from the party.
  - 6. The method of claim 3, wherein the knowledge base contains the information for a concept that captures the received information.
  - 7. The method of claim 6, wherein the knowledge base contains information on a value that can be assigned to the concept.
  - 8. The method of claim 3, wherein the knowledge engine contains an artificial intelligence rule for mapping incoming information to a concept.
  - 9. The method of claim 3, wherein the knowledge engine contains an artificial intelligence rule for mapping incoming information to a value associated with a concept.
  - 10. The method of claim 3, wherein the knowledge engine contains an artificial intelligence rule for assigning a truth factor to a concept.
  - 11. The method of claim 1 further comprising providing information regarding the prospective business transaction to the party.
  - 12. The method of claim 11, wherein information is provided to an enterprise application.
  - 13. The method of claim 11, wherein information is provided to the party.
  - 14. The method of claim 11, wherein the knowledge base contains information for a concept that captures data to be output to the party.
  - 15. The method of claim 14, wherein the knowledge base contains information on a value that can be assigned to the concept.
  - 16. The method of claim 11, wherein the knowledge engine contains an artificial intelligence rule for mapping a concept to outgoing data.
  - 17. The method of claim 11, wherein the knowledge engine contains an artificial intelligence rule for mapping a value assigned to a concept to outgoing data.
  - 18. The method of claim 11, wherein the knowledge engine contains an artificial intelligence rule for mapping a truth factor assigned to a concept to outgoing data.
  - 19. The method of claim 1, wherein the business context of the prospective business transaction includes at least one concept.
  - 20. The method of claim 1, wherein the knowledge base contains information on at least one concept.
  - 21. The method of claim 20, wherein the at least one concept is associated with the at least one actionable step of the cognitive business process.
  - 22. The method of claim 20, wherein the knowledge base contains information on values that the at least one concept may be assigned.
  - 23. The method of claim 22, wherein the at least one concept is assigned a value having a truth factor.
  - 24. The method of claim 23, wherein the truth factor for the at least one concept varies between a minimum and a maximum threshold.
  - 25. The method of claim 20, wherein the at least one concept has a truth factor threshold.
  - 26. The method of claim 25, wherein the at least one concept uses a number of values each having truth factors equal to or exceeding the truth factor threshold for the at least one concept.
  - 27. The method of claim 1, wherein the knowledge base contains at least one potential question to ask the party to determine the business context of the prospective business transaction.
  - 28. The method of claim 27, wherein the knowledge base contains at least one answer to the at least one potential question.
  - 29. The method of claim 27, wherein the at least one potential question is associated with the at least one actionable step of the cognitive business process.
  - 30. The method of claim 1, wherein the knowledge base stores information for an industry from the group consisting of:
    - Airline, Automotive, Chemical, Communications, Consumer Goods and Services, Electronics and High Technology, Energy, Financial Services—
      
      Insurance, Financial Services—
      
      Banking, Financial Services—
      
      Capital Markets, Forest Products, Freight and Logistics, Government—
      
      Federal, Government—
      
      State, Government—
      
      Local, Health and Life Sciences—
      
      Health Services, Health and Life Sciences—
      
      Medical Products, Health and Life Sciences—
      
      Pharmaceuticals, Industrial Equipment, Media and Entertainment, Metals and Mining, Rail, Retail, Travel Services, and Utilities.
  - 31. The method of claim 1, wherein the knowledge base stores information for a functional area from the group consisting of:
    - After-sales support, Billing, Business development, Business intelligence, Corporate strategy, Customer and partner relationship management, Customer care, Financial management, General management, Human resources, Industry specific back-office functions, Industry specific front-office functions, Intellectual property, Internal Audit, Investor relations, IT operations and strategy, Legal, regulatory and government affairs, Marketing, Pre-sales support, Procurement, Product development, Product management and strategy, Sales, Security, Strategic planning, and Supply chain management.
  - 32. The method of claim 1, wherein the knowledge engine uses artificial intelligence.
  - 33. The method of claim 32, wherein the knowledge engine uses the artificial intelligence to consider incomplete information about the prospective business transaction.
  - 34. The method of claim 32, wherein the knowledge engine uses the artificial intelligence to consider incomplete information about the business context of the prospective business transaction.
  - 35. The method of claim 32, wherein the knowledge engine uses the artificial intelligence to consider incomplete information about the at least one actionable step of the prospective business transaction.
  - 36. The method of claim 1, wherein the knowledge engine stores information on artificial intelligence rules.
  - 37. The method of claim 36, wherein each artificial intelligence rule assigns a truth factor to a first concept having a first value based on a truth factor from a second concept.
  - 38. The method of claim 36, wherein the knowledge engine contains an artificial intelligence rule that is associated with the at least one actionable step of the prospective business transaction.
  - 39. The method of claim 36, wherein the knowledge engine contains an artificial intelligence rule that is associated with at least one concept stored in the knowledge base.
  - 40. The method of claim 36, wherein the knowledge engine contains an artificial intelligence rule that is associated with a value that a concept may be assigned.
  - 41. The method of claim 1, wherein the knowledge engine identifies at least one concept in the knowledge base that is applicable to the at least one actionable step of the prospective business transaction.
  - 42. The method of claim 1, wherein the knowledge engine generates a list of questions to determine the business context of the prospective business transaction.
  - 43. The method of claim 42, wherein answers to the questions are provided by the party.
  - 44. The method of claim 43, wherein based on the answers, the knowledge engine determines the business context of the prospective business transaction.
  - 45. The method of claim 43, wherein based on the answers, the knowledge engine assigns a truth factor to a concept stored in the knowledge base.
  - 46. The method of claim 1, wherein the knowledge engine accepts information about knowledge and patterns of behavior about an execution of the business transaction from the party.
  - 47. The method of claim 46, wherein the received information is used by the knowledge engine in a learning process.
  - 48. The method of claim 47, wherein the learning process updates the knowledge base and knowledge engine.
  - 49. The method of claim 1, wherein the knowledge engine accepts data from an enterprise application.
  - 50. The method of claim 1, wherein the knowledge engine uses information about an industry from the group consisting of:
    - Airline, Automotive, Chemical, Communications, Consumer Goods and Services, Electronics and High Technology, Energy, Financial Services—
      
      Insurance, Financial Services—
      
      Banking, Financial Services—
      
      Capital Markets, Forest Products, Freight and Logistics, Government—
      
      Federal, Government—
      
      State, Government—
      
      Local, Health and Life Sciences—
      
      Health Services, Health and Life Sciences—
      
      Medical Products, Health and Life Sciences—
      
      Pharmaceuticals, Industrial Equipment, Media and Entertainment, Metals and Mining, Rail, Retail, Travel Services, and Utilities.
  - 51. The method of claim 1, wherein the knowledge engine uses information about a functional area from the group consisting of:
    - After-sales support, Billing, Business development, Business intelligence, Corporate strategy, Customer and partner relationship management, Customer care, Financial management, General management, Human resources, Industry specific back-office functions, Industry specific front-office functions, Intellectual property, Internal Audit, Investor relations, IT operations and strategy, Legal, regulatory and government affairs, Marketing, Pre-sales support, Procurement, Product development, Product management and strategy, Sales, Security, Strategic planning, and Supply chain management.

52. A computer based medium, comprising:
- an application being executable by a computer, wherein the computer executes the steps of;
  
  using at least one actionable step that constitutes for a prospective business transaction;
  
  using a knowledge base and a knowledge engine to determine a business context for the prospective business transaction; and
  
  using the knowledge base and knowledge engine to provide a party with consultation for the at least one actionable step of the prospective business transaction.
- View Dependent Claims (53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86)
- - 53. The computer based medium of claim 52, wherein the consultation provides coaching and strategies for the at least one actionable step in the prospective business transaction to be performed by the party.
  - 54. The computer based medium of claim 52 further comprising receiving information regarding the prospective business transaction.
  - 55. The computer based medium of claim 54, wherein the information is received from an enterprise application.
  - 56. The computer based medium of claim 54, wherein the information is received from the party.
  - 57. The computer based medium of claim 54, wherein the knowledge engine contains an artificial intelligence rule for mapping incoming information to a concept.
  - 58. The computer based medium of claim 52 further comprising providing information regarding the prospective business transaction to the party.
  - 59. The computer based medium of claim 58, wherein information is provided to an enterprise application.
  - 60. The computer based medium of claim 58, wherein information is provided to the party.
  - 61. The computer based medium of claim 58, wherein the knowledge engine contains an artificial intelligence rule for mapping a concept to outgoing data.
  - 62. The computer based medium of claim 52, wherein the business context of the prospective business transaction includes at least one concept.
  - 63. The computer based medium of claim 52, wherein the knowledge base contains information on at least one concept.
  - 64. The computer based medium of claim 52, wherein the knowledge base contains at least one potential question to ask the party to determine the business context of the prospective business transaction.
  - 65. The computer based medium of claim 64, wherein the knowledge base contains at least one answer to the at least one potential question.
  - 66. The computer based medium of claim 64, wherein the at least one potential question is associated with the at least one actionable step of the cognitive business process.
  - 67. The computer based medium of claim 52, wherein the knowledge base stores information for an industry from the group consisting of:
    - Airline, Automotive, Chemical, Communications, Consumer Goods and Services, Electronics and High Technology, Energy, Financial Services—
      
      Insurance, Financial Services—
      
      Banking, Financial Services—
      
      Capital Markets, Forest Products, Freight and Logistics, Government—
      
      Federal, Government—
      
      State, Government—
      
      Local, Health and Life Sciences—
      
      Health Services, Health and Life Sciences—
      
      Medical Products, Health and Life Sciences—
      
      Pharmaceuticals, Industrial Equipment, Media and Entertainment, Metals and Mining, Rail, Retail, Travel Services, and Utilities.
  - 68. The computer based medium of claim 52, wherein the knowledge base stores information for a functional area from the group consisting of:
    - After-sales support, Billing, Business development, Business intelligence, Corporate strategy, Customer and partner relationship management, Customer care, Financial management, General management, Human resources, Industry specific back-office functions, Industry specific front-office functions, Intellectual property, Internal Audit, Investor relations, IT operations and strategy, Legal, regulatory and government affairs, Marketing, Pre-sales support, Procurement, Product development, Product management and strategy, Sales, Security, Strategic planning, and Supply chain management.
  - 69. The computer based medium of claim 52, wherein the knowledge engine uses artificial intelligence.
  - 70. The computer based medium of claim 69, wherein the knowledge engine uses the artificial intelligence to consider incomplete information about the prospective business transaction.
  - 71. The computer based medium of claim 69, wherein the knowledge engine uses the artificial intelligence to consider incomplete information about the business context of the prospective business transaction.
  - 72. The computer based medium of claim 69, wherein the knowledge engine uses the artificial intelligence to consider incomplete information about the at least one actionable step of the prospective business transaction.
  - 73. The computer based medium of claim 52, wherein the knowledge engine stores information on artificial intelligence rules.
  - 74. The computer based medium of claim 73, wherein the knowledge engine contains an artificial intelligence rule that is associated with the at least one actionable step of the prospective business transaction.
  - 75. The computer based medium of claim 73, wherein the knowledge engine contains an artificial intelligence rule that is associated with at least one concept stored in the knowledge base.
  - 76. The computer based medium of claim 73, wherein the knowledge engine contains an artificial intelligence rule that is associated with a value that a concept may be assigned.
  - 77. The computer based medium of claim 52, wherein the knowledge engine identifies at least one concept in the knowledge base that is applicable to the at least one actionable step of the prospective business transaction.
  - 78. The computer based medium of claim 52, wherein the knowledge engine generates a list of questions to determine the business context of the prospective business transaction.
  - 79. The computer based medium of claim 78, wherein answers to the questions are provided by the party.
  - 80. The computer based medium of claim 79, wherein based on the answers, the knowledge engine determines the business context of the prospective business transaction.
  - 81. The computer based medium of claim 52, wherein the knowledge engine accepts information about knowledge and patterns of behavior about an execution of the business transaction from the party.
  - 82. The computer based medium of claim 81, wherein the received information is used by the knowledge engine in a learning process.
  - 83. The computer based medium of claim 82, wherein the learning process updates the knowledge base and knowledge engine.
  - 84. The computer based medium of claim 52, wherein the knowledge engine accepts data from an enterprise application.
  - 85. The computer based medium of claim 52, wherein the knowledge engine uses information about an industry from the group consisting of:
    - Airline, Automotive, Chemical, Communications, Consumer Goods and Services, Electronics and High Technology, Energy, Financial Services—
      
      Insurance, Financial Services—
      
      Banking, Financial Services—
      
      Capital Markets, Forest Products, Freight and Logistics, Government—
      
      Federal, Government—
      
      State, Government—
      
      Local, Health and Life Sciences—
      
      Health Services, Health and Life Sciences—
      
      Medical Products, Health and Life Sciences—
      
      Pharmaceuticals, Industrial Equipment, Media and Entertainment, Metals and Mining, Rail, Retail, Travel Services, and Utilities.
  - 86. The computer based medium of claim 52, wherein the knowledge engine uses information about a functional area from the group consisting of:
    - After-sales support, Billing, Business development, Business intelligence, Corporate strategy, Customer and partner relationship management, Customer care, Financial management, General management, Human resources, Industry specific back-office functions, Industry specific front-office functions, Intellectual property, Internal Audit, Investor relations, IT operations and strategy, Legal, regulatory and government affairs, Marketing, Pre-sales support, Procurement, Product development, Product management and strategy, Sales, Security, Strategic planning, and Supply chain management.

87. A system for implementing a cognitive business process comprising:
- a computer system including a processor for executing computer code; and
  
  an application for execution on the computer system, wherein the computer system, when the application executes the steps of;
  
  using at least one actionable step that constitutes for a prospective business transaction;
  
  using a knowledge base and a knowledge engine to determine a business context for the prospective business transaction; and
  
  using the knowledge base and knowledge engine to provide a party with consultation for the at least one actionable step of the prospective business transaction.
- View Dependent Claims (88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121)
- - 88. The system of claim 87, wherein the consultation provides coaching and strategies for the at least one actionable step in the prospective business transaction to be performed by the party.
  - 89. The system of claim 87 further comprising receiving information regarding the prospective business transaction.
  - 90. The system of claim 89, wherein the information is received from an enterprise application.
  - 91. The system of claim 89, wherein the information is received from the party.
  - 92. The system of claim 89, wherein the knowledge engine contains an artificial intelligence rule for mapping incoming information to a concept.
  - 93. The system of claim 87 further comprising providing information regarding the prospective business transaction to the party.
  - 94. The system of claim 93, wherein information is provided to an enterprise application.
  - 95. The system of claim 93, wherein information is provided to the party.
  - 96. The system of claim 93, wherein the knowledge engine contains an artificial intelligence rule for mapping a concept to outgoing data.
  - 97. The system of claim 87, wherein the business context of the prospective business transaction includes at least one concept.
  - 98. The system of claim 87, wherein the knowledge base contains information on at least one concept.
  - 99. The system of claim 87, wherein the knowledge base contains at least one potential question to ask the party to determine the business context of the prospective business transaction.
  - 100. The system of claim 99, wherein the knowledge base contains at least one answer to the at least one potential question.
  - 101. The system of claim 99, wherein the at least one potential question is associated with the at least one actionable step of the cognitive business process.
  - 102. The system of claim 87, wherein the knowledge base stores information for an industry from the group consisting of:
    - Airline, Automotive, Chemical, Communications, Consumer Goods and Services, Electronics and High Technology, Energy, Financial Services—
      
      Insurance, Financial Services—
      
      Banking, Financial Services—
      
      Capital Markets, Forest Products, Freight and Logistics, Government—
      
      Federal, Government—
      
      State, Government—
      
      Local, Health and Life Sciences—
      
      Health Services, Health and Life Sciences—
      
      Medical Products, Health and Life Sciences—
      
      Pharmaceuticals, Industrial Equipment, Media and Entertainment, Metals and Mining, Rail, Retail, Travel Services, and Utilities.
  - 103. The system of claim 87, wherein the knowledge base stores information for a functional area from the group consisting of:
    - After-sales support, Billing, Business development, Business intelligence, Corporate strategy, Customer and partner relationship management, Customer care, Financial management, General management, Human resources, Industry specific back-office functions, Industry specific front-office functions, Intellectual property, Internal Audit, Investor relations, IT operations and strategy, Legal, regulatory and government affairs, Marketing, Pre-sales support, Procurement, Product development, Product management and strategy, Sales, Security, Strategic planning, and Supply chain management.
  - 104. The system of claim 87, wherein the knowledge engine uses artificial intelligence.
  - 105. The system of claim 104, wherein the knowledge engine uses the artificial intelligence to consider incomplete information about the prospective business transaction.
  - 106. The system of claim 104, wherein the knowledge engine uses the artificial intelligence to consider incomplete information about the business context of the prospective business transaction.
  - 107. The system of claim 104, wherein the knowledge engine uses the artificial intelligence to consider incomplete information about the at least one actionable step of the prospective business transaction.
  - 108. The system of claim 87, wherein the knowledge engine stores information on artificial intelligence rules.
  - 109. The system of claim 108, wherein the knowledge engine contains an artificial intelligence rule that is associated with the at least one actionable step of the prospective business transaction.
  - 110. The system of claim 108, wherein the knowledge engine contains an artificial intelligence rule that is associated with at least one concept stored in the knowledge base.
  - 111. The system of claim 108, wherein the knowledge engine contains an artificial intelligence rule that is associated with a value that a concept may be assigned.
  - 112. The system of claim 87, wherein the knowledge engine identifies at least one concept in the knowledge base that is applicable to the at least one actionable step of the prospective business transaction.
  - 113. The system of claim 87, wherein the knowledge engine generates a list of questions to determine the business context of the prospective business transaction.
  - 114. The system of claim 113, wherein answers to the questions are provided by the party.
  - 115. The system of claim 114, wherein based on the answers, the knowledge engine determines the business context of the prospective business transaction.
  - 116. The system of claim 87, wherein the knowledge engine accepts information about knowledge and patterns of behavior about an execution of the business transaction from the party.
  - 117. The system of claim 116, wherein the received information is used by the knowledge engine in a learning process.
  - 118. The system of claim 117, wherein the learning process updates the knowledge base and knowledge engine.
  - 119. The system of claim 87, wherein the knowledge engine accepts data from an enterprise application.
  - 120. The system of claim 87, wherein the knowledge engine uses information about an industry from the group consisting of:
    - Airline, Automotive, Chemical, Communications, Consumer Goods and Services, Electronics and High Technology, Energy, Financial Services—
      
      Insurance, Financial Services—
      
      Banking, Financial Services—
      
      Capital Markets, Forest Products, Freight and Logistics, Government—
      
      Federal, Government—
      
      State, Government—
      
      Local, Health and Life Sciences—
      
      Health Services, Health and Life Sciences—
      
      Medical Products, Health and Life Sciences—
      
      Pharmaceuticals, Industrial Equipment, Media and Entertainment, Metals and Mining, Rail, Retail, Travel Services, and Utilities.
  - 121. The system of claim 87, wherein the knowledge engine uses information about a functional area from the group consisting of:
    - After-sales support, Billing, Business development, Business intelligence, Corporate strategy, Customer and partner relationship management, Customer care, Financial management, General management, Human resources, Industry specific back-office functions, Industry specific front-office functions, Intellectual property, Internal Audit, Investor relations, IT operations and strategy, Legal, regulatory and government affairs, Marketing, Pre-sales support, Procurement, Product development, Product management and strategy, Sales, Security, Strategic planning, and Supply chain management.

122. A system for implementing a cognitive business process comprising:
- means for using at least one actionable step that constitutes a prospective business transaction;
  
  means for using a knowledge base and a knowledge engine to determine business context for the prospective business transaction; and
  
  means for using the knowledge base and knowledge engine to provide a party with consultation for the at least one actionable step of the prospective business transaction.

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Current Assignee
Sampath Kumar
Original Assignee
Sampath Kumar
Inventors
Kumar, Sampath

Application Number

US10/961,520
Publication Number

US 20060085205A1
Time in Patent Office

Days
Field of Search
US Class Current

705/7
CPC Class Codes

G06Q 10/06 Resources, workflows, human...

G06Q 30/0203 Market surveys; Market polls

Method, program and system for the implementation of cognitive business processes

First Claim

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Abstract

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122 Claims

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Method, program and system for the implementation of cognitive business processes

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Abstract

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