Development environment for cognitive information processing system

Patent metadata

Field	Value
Publication number	US-11734592-B2
Application number	US-201916271217-A
Country	US
Kind code	B2
Filing date	Feb 8, 2019
Priority date	Jun 9, 2014
Publication date	Aug 22, 2023
Grant date	Aug 22, 2023

Abstract

A method, system and computer readable storage medium 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 to provide cognitively processed insights via a cognitive inference and learning system, the cognitive inference and learning system comprising a cognitive platform, the cognitive platform comprising a development environment, the development environment being implemented to a create custom extension to the cognitive inference and learning system, the custom extension being created via a cognitive design user interface; performing a learning operation to iteratively improve the cognitively processed insights over time; and, providing the cognitively processed insights to a destination, the destination comprising a cognitive application, the cognitive application enabling a user to interact with the cognitive insights.

First claim

What is claimed is:

1. A method for cognitive information processing comprising:
receiving data from a plurality of data sources;
processing the data from the plurality of data sources to provide cognitively processed insights via a cognitive inference and learning system, the cognitive inference and learning system executing on a hardware processor of an information processing system, the cognitive inference and learning system and the information processing system providing a cognitive computing function, the cognitive inference and learning system comprising a cognitive platform, the cognitive platform comprising
a development environment, the development environment being implemented to create a custom extension to the cognitive inference and learning system, the custom extension being created via a cognitive design user interface, the cognitive design user interface providing a selection model representing an operational flow through the custom extension to the cognitive inference and learning system, the operational flow representing a flow of data through one or more custom agents of the custom extension and properties of each agent of the custom extension; and
a management console, the management console being implemented to establish the development environment and the manage the development environment once the development environment is established;

performing a learning operation to iteratively improve the cognitively processed insights over time; and,
providing the cognitively processed insights to a destination, the destination comprising a cognitive application, the cognitive application enabling a user to interact with the cognitive insights; and wherein
the cognitive design user interface comprises an input portion, an output portion, an agent portion, a synapses portion, a dataset references portion, a Profile of One portion and a properties portion.

2. The method of claim 1 , wherein:
the development environment is further implemented for development of a custom cognitive application; and,
the destination comprises the custom cognitive application.

3. The method of claim 1 , wherein:
the development environment is implemented for development of a custom agent, the custom agent being purpose-built via the development environment.

4. The method of claim 3 , wherein:
the custom agent comprises at least one of a custom sourcing agent, a custom bridging agent, and a custom destination agent.

5. The method of claim 1 , wherein:
the development environment is implemented for development of at least one of an analytics application and an analytics extension.

6. The method of claim 1 , wherein:
the cognitive platform further comprises a management console; and,
the management console establishes the development environment.

7. A system comprising:
a processor;
a data bus coupled to the 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 processor and configured for:
receiving data from a plurality of data sources;
processing the data from the plurality of data sources to provide cognitively processed insights via a cognitive inference and learning system, the cognitive inference and learning system executing on a hardware processor of an information processing system, the cognitive inference and learning system and the information processing system providing a cognitive computing function, the cognitive inference and learning system comprising a cognitive platform, the cognitive platform comprising
a development environment, the development environment being implemented to create a custom extension to the cognitive inference and learning system, the custom extension being created via a cognitive design user interface, the cognitive design user interface providing a selection model representing an operational flow through the custom extension to the cognitive inference and learning system, the operational flow representing a flow of data through one or more custom agents of the custom extension and properties of each agent of the custom extension; and
a management console, the management console being implemented to establish the development environment and the manage the development environment once the development environment is established;

performing a learning operation to iteratively improve the cognitively processed insights over time; and,
providing the cognitively processed insights to a destination, the destination comprising a cognitive application, the cognitive application enabling a user to interact with the cognitive insights; and wherein
the cognitive design user interface comprises an input portion, an output portion, an agent portion, a synapses portion, a dataset references portion, a Profile of One portion and a properties portion.

8. The system of claim 7 , wherein:
the development environment is further implemented for development of a custom cognitive application; and,
the destination comprises the custom cognitive application.

9. The system of claim 7 , wherein:
the development environment is implemented for development of a custom agent, the custom agent being purpose-built via the development environment.

10. The system of claim 9 , wherein:
the custom agent comprises at least one of a custom sourcing agent, a custom bridging agent, and a custom destination agent.

11. The system of claim 7 , wherein:
the development environment is implemented for development of at least one of an analytics application and an analytics extension.

12. The system of claim 7 , wherein:
the cognitive platform further comprises a management console; and,
the management console establishes the development environment.

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 to provide cognitively processed insights via a cognitive inference and learning system, the cognitive inference and learning system executing on a hardware processor of an information processing system, the cognitive inference and learning system and the information processing system providing a cognitive computing function, the cognitive inference and learning system comprising a cognitive platform, the cognitive platform comprising
a development environment, the development environment being implemented to create a custom extension to the cognitive inference and learning system, the custom extension being created via a cognitive design user interface, the cognitive design user interface providing a selection model representing an operational flow through the custom extension to the cognitive inference and learning system, the operational flow representing a flow of data through one or more custom agents of the custom extension and properties of each agent of the custom extension; and
a management console, the management console being implemented to establish the development environment and the manage the development environment once the development environment is established;

performing a learning operation to iteratively improve the cognitively processed insights over time; and,
providing the cognitively processed insights to a destination, the destination comprising a cognitive application, the cognitive application enabling a user to interact with t

Assignees

• Cognitive Scale Inc
• Tecnotree Tech Inc

Inventors

• Sanchez Matthew
• Saxena Manoj
• Sabhikhi Akshay

Classifications

• G06N7/01 Primary

  Probabilistic graphical models, e.g. probabilistic networks · CPC title

• G06F3/0482

  Interaction with lists of selectable items, e.g. menus · CPC title

• G06F40/00

  Handling natural language data (speech analysis or synthesis, speech recognition G10L) · CPC title

• G06F40/216

  using statistical methods · CPC title

• G06F40/30 Primary

  Semantic analysis · CPC title