IP Library Patent Application 16801860
Patent Application
App. No. 16/801,860

Cognitive Process Lifecycle

Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US None
App. No.
16/801,860
Abstract

A system, method, and computer-readable medium are disclosed for cognitive information processing. The cognitive information processing includes receiving data from a plurality of data sources; processing the data from the plurality of data sources via an augmented intelligence system, the augmented intelligence system executing on a hardware processor of an information processing system, the augmented intelligence system and the information processing system providing a cognitive computing function, the cognitive computing function comprising a cognitive process, the cognitive process being developed via a plurality of phases; and, promoting the cognitive process from one operational environment to another operational environment.

Claims (50)

1 . A computer-implementable method for cognitive information processing, comprising:

receiving data from a plurality of data sources;

processing the data from the plurality of data sources via an augmented intelligence system, the augmented intelligence system executing on a hardware processor of an information processing system, the augmented intelligence system and the information processing system providing a cognitive computing function, the cognitive computing function comprising a cognitive process, the cognitive process being developed via a plurality of phases; and,

promoting the cognitive process from one operational environment to another operational environment.

2 . The method of claim 1 , wherein:

each of the plurality of phases has at least one of associated input artifacts, associated roles and associated output artifacts.

3 . The method of claim 1 , wherein:

the plurality of phases comprise a data sourcing phase, the data sourcing phase performing data discovery operations on the data from the plurality of data sources.

4 . The method of claim 3 , wherein:

the data sourcing phase comprises a data engineering operation, the data engineering operation preparing the data from the plurality of data sources for use by a cognitive agent development phase.

5 . The method of claim 1 , wherein:

the plurality of phases comprise a cognitive agent development phase, the cognitive agent development phase developing a machine learning model associated with the cognitive process.

6 . The method of claim 5 , wherein:

the cognitive agent development phase comprises composing a cognitive skill and composing a cognitive agent.

7 . A system comprising:

a hardware processor;

a data bus coupled to the hardware processor; and

a non-transitory, computer-readable storage medium embodying computer program code, the non-transitory, computer-readable storage medium being coupled to the data bus, the computer program code interacting with a plurality of computer operations and comprising instructions executable by the hardware processor and configured for:

receiving data from a plurality of data sources;

receiving data from a plurality of data sources;

processing the data from the plurality of data sources via an augmented intelligence system, the augmented intelligence system executing on a hardware processor of an information processing system, the augmented intelligence system and the information processing system providing a cognitive computing function, the cognitive computing function comprising a cognitive process, the cognitive process being developed via a plurality of phases; and,

promoting the cognitive process from one operational environment to another operational environment.

8 . The system of claim 7 , wherein:

each of the plurality of phases has at least one of associated input artifacts, associated roles and associated output artifacts.

9 . The system of claim 7 , wherein:

the plurality of phases comprise a data sourcing phase, the data sourcing phase performing data discovery operations on the data from the plurality of data sources.

10 . The system of claim 9 , wherein:

the data sourcing phase comprises a data engineering operation, the data engineering operation preparing the data from the plurality of data sources for use by a cognitive agent development phase.

11 . The system of claim 7 , wherein:

the plurality of phases comprise a cognitive agent development phase, the cognitive agent development phase developing a machine learning model associated with the cognitive process.

12 . The system of claim 11 , wherein:

the cognitive agent development phase comprises composing a cognitive skill and composing a cognitive agent.

13 . A non-transitory, computer-readable storage medium embodying computer program code, the computer program code comprising computer executable instructions configured for:

receiving data from a plurality of data sources;

processing the data from the plurality of data sources via an augmented intelligence system, the augmented intelligence system executing on a hardware processor of an information processing system, the augmented intelligence system and the information processing system providing a cognitive computing function, the cognitive computing function comprising a cognitive process, the cognitive process being developed via a plurality of phases; and,

promoting the cognitive process from one operational environment to another operational environment.

14 . The non-transitory, computer-readable storage medium of claim 13 , wherein:

each of the plurality of phases has at least one of associated input artifacts, associated roles and associated output artifacts.

15 . The non-transitory, computer-readable storage medium of claim 13 , wherein:

the plurality of phases comprise a data sourcing phase, the data sourcing phase performing data discovery operations on the data from the plurality of data sources.

16 . The non-transitory, computer-readable storage medium of claim 15 , wherein:

the data sourcing phase comprises a data engineering operation, the data engineering operation preparing the data from the plurality of data sources for use by a cognitive agent development phase.

17 . The non-transitory, computer-readable storage medium of claim 13 , wherein:

the plurality of phases comprise a cognitive agent development phase, the cognitive agent development phase developing a machine learning model associated with the cognitive process.

18 . The non-transitory, computer-readable storage medium of claim 17 , wherein:

the cognitive agent development phase comprises composing a cognitive skill and composing a cognitive agent.

19 . The non-transitory, computer-readable storage medium of claim 13 , wherein:

the computer executable instructions are deployable to a client system from a server system at a remote location.

20 . The non-transitory, computer-readable storage medium of claim 13 , wherein:

the computer executable instructions are provided by a service provider to a user on an on-demand basis.

Assignments (4)
SECURITY INTEREST Recorded Dec 22, 2022
From: TECNOTREE TECHNOLOGIES INC.
To: TRIPLEPOINT CAPITAL LLC
Reel/Frame 062213/0388 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 14, 2022
From: COGNITIVE SCALE, INC.; COGNITIVESCALE SOFTWARE INDIA PVT. LTD.; COGNITIVE SCALE UK LTD.; COGNITIVE SCALE (CANADA) INC.
To: TECNOTREE TECHNOLOGIES, INC.
Reel/Frame 062125/0051 →
SECURITY INTEREST Recorded Oct 25, 2022
From: COGNITIVE SCALE INC.
To: TRIPLEPOINT CAPITAL LLC
Reel/Frame 061771/0001 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 20, 2020
From: SANCHEZ, MATTHEW
To: COGNITIVE SCALE, INC.
Reel/Frame 053254/0209 →