Granted Patent B2

US 10,726,346 · App. 15/347,039 · Granted Jul 28, 2020

Inventors: Manoj Saxena (Austin, TX); Matthew Sanchez (Austin, TX); Richard Knuszka (Hampshire, GB)

Assignee: Cognitive Scale, Inc.

G06N5/048G06N20/00G06Q50/26

Abstract

Claims (51)

1. A cognitive information processing 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, the plurality of data sources comprising a blockchain data source, the blockchain data source providing blockchain data;

processing the blockchain data to generate a plurality of knowledge elements, the processing being performed via a cognitive inference and learning system, the cognitive inference and learning system executing on a hardware processor of an information processing system and interacting with the plurality of data sources, the cognitive inference and learning system comprising a cognitive platform, the cognitive platform comprising

a cognitive graph, the cognitive graph being derived from the plurality of data sources, the cognitive graph comprising an application cognitive graph, the application cognitive graph comprising a cognitive graph associated with a cognitive application, interactions between the cognitive application and the application cognitive graph being represented as a set of nodes in the cognitive graph, and,

a cognitive engine, the cognitive engine comprising a dataset engine, a graph query engine and an insight/learning engine;

performing a cognitive operation via the cognitive inference and learning system using the blockchain data, the cognitive learning operation implementing a cognitive learning technique according to a cognitive learning framework, the cognitive learning framework comprising a plurality of cognitive learning styles and a plurality of cognitive learning categories, each of the plurality of cognitive learning styles comprising a generalized learning approach implemented by the cognitive inference and learning system to perform the cognitive learning operation, each of the plurality of cognitive learning categories referring to a source of information used by the cognitive inference and learning system when performing the cognitive learning operation, an individual cognitive learning technique being associated with a primary cognitive learning style and bounded by an associated primary cognitive learning category, the cognitive learning operation applying the cognitive learning technique via a machine learning algorithm to generate a cognitive learning result;

processing the blockchain data to generate cognitive blockchain data;

updating a knowledge model using the cognitive learning result, the updating being performed via the cognitive platform of the cognitive inference and learning system;

storing the plurality of knowledge elements and the cognitive blockchain data within the cognitive graph; and,

processing the plurality of knowledge elements to generate a cognitive insight associated with a compliance requirement.

2. The cognitive information processing system of claim 1 , wherein:

the compliance requirement is related to at least one of a governance compliance requirement, a regulatory compliance requirement and an anti-fraud compliance requirement.

3. The cognitive information processing system of claim 2 , wherein the instructions are further configured for:

generating a cognitive session graph, the cognitive session graph being associated with a session, the cognitive session graph comprising at least some enriched data; and,

associating a cognitive blockchain with the cognitive session graph.

4. The cognitive information processing system of claim 3 , wherein the instructions are further configured for:

using the block chain data to establish an identity of an entity; and,

validating legitimacy of a blockchain transaction based upon the identity of the entity.

5. The cognitive information processing system of claim 4 , wherein the instructions are further configured for:

validating veracity of a blockchain transaction based upon at least some of the knowledge elements and at least some of the cognitive blockchain data.

6. The cognitive information processing system of claim 1 , wherein:

the cognitive insight associated with the compliance requirement enables a user to perform a single step compliance operation, the single step compliance operation allowing the user to assure compliance via a single interaction with a cognitive inference and learning system (CILS);

the single step compliance operation is tailored to a specific industry; and,

the single interaction with the cognitive inference and learning system generates an industry specific insight.

7. 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, the plurality of data sources comprising a blockchain data source, the blockchain data source providing blockchain data;

processing the blockchain data to generate a plurality of knowledge elements, the processing being performed via a cognitive inference and learning system, the cognitive inference and learning system executing on a hardware processor of an information processing system and interacting with the plurality of data sources, the cognitive inference and learning system comprising a cognitive engine, the cognitive engine comprising a cognitive platform, the cognitive platform comprising

a cognitive graph, the cognitive graph being derived from the plurality of data sources, the cognitive graph comprising an application cognitive graph, the application cognitive graph comprising a cognitive graph associated with a cognitive application, interactions between the cognitive application and the application cognitive graph being represented as a set of nodes in the cognitive graph, and

a dataset engine, a graph query engine and an insight/learning engine;

performing a cognitive learning operation via the cognitive inference and learning system using the blockchain data, the cognitive learning operation implementing a cognitive learning technique according to a cognitive learning framework, the cognitive learning framework comprising a plurality of cognitive learning styles and a plurality of cognitive learning categories, each of the plurality of cognitive learning styles comprising a generalized learning approach implemented by the cognitive inference and learning system to perform the cognitive learning operation, each of the plurality of cognitive learning categories referring to a source of information used by the cognitive inference and learning system when performing the cognitive learning operation, an individual cognitive learning technique being associated with a primary cognitive learning style and bounded by an associated primary cognitive learning category, the cognitive learning operation applying the cognitive learning technique via a machine learning algorithm to generate a cognitive learning result;

processing the blockchain data to generate cognitive blockchain data;

updating a knowledge model using the cognitive learning result, the updating being performed via the cognitive platform of the cognitive inference and learning system;

storing the plurality of knowledge elements and the cognitive blockchain data within the cognitive graph; and,

processing the plurality of knowledge elements to generate a cognitive insight associated with a compliance requirement.

8. The non-transitory, computer-readable storage medium of claim 7 , wherein the instructions are further configured for:

the compliance requirement is related to at least one of a governance compliance requirement, a regulatory compliance requirement and an anti-fraud compliance requirement.

9. The non-transitory, computer-readable storage medium of claim 8 , wherein the instructions are further configured for:

generating a cognitive session graph, the cognitive session graph being associated with a session, the cognitive session graph comprising at least some enriched data; and,

associating a cognitive blockchain with the cognitive session graph.

10. The non-transitory, computer-readable storage medium of claim 9 , wherein the instructions are further configured for:

using the block chain data to establish an identity of an entity; and,

validating legitimacy of a blockchain transaction based upon the identity of the entity.

11. The non-transitory, computer-readable storage medium of claim 10 , wherein the instructions are further configured for:

validating veracity of a blockchain transaction based upon at least some of the knowledge elements and at least some of the cognitive blockchain data.

12. The non-transitory, computer-readable storage medium of claim 11 , wherein:

the cognitive insight associated with the compliance requirement enables a user to perform a single step compliance operation, the single step compliance operation allowing the user to assure compliance via a single interaction with a cognitive inference and learning system (CILS);

the single step compliance operation is tailored to a specific industry; and,

the single interaction with the cognitive inference and learning system generates an industry specific insight.

Assignments (4)

Continuity (1)

Cited By (9)

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