Dynamic intelligent objects
View Patent ↗An contextual artificial intelligence system is disclosed. Intelligent business objects enable dynamic data object interaction and encapsulation of user context. Data is rationalized and data objects evolve by way of an artificial intelligence assisted process of self-discovery. Significant data is identified based upon factors such as cost, revenue and outcome and contextually significant result sets are automatically generated for users.
1. A contextual artificial intelligence (AI) system, comprising:
an Intelligent Business Object (IBO) creator configured to:
create a user proxy intelligent physical object (IPO);
create a first IPO which is configured to store static attributes of the data element;
create a first intelligent energy object (IEO) which is configured to store the dynamic attributes of the data element;
create an intelligent context object (ICO) which is configured to store a context of the data element; and,
associate at least one of: the first IPO, the first IEO or the first ICO with at least one of: the first IPO, the first IEO or the first ICO
an AI context profiler configured to interpret a user profile to create a user context and encapsulate the user context in a user context intelligent context object (ICO), wherein the user profile comprises at least one of a job function, a personality profile, user preference, a user history, a user action, or a Myers-Briggs personality profile; and
an AI data rationalizer configured to process input data and control data evolution.
2. The system of claim 1 ,
a contextual AI processor,
a tangible, non-transitory memory configured to communicate with said processor,
said tangible, non-transitory memory having instructions stored thereon that, in response to execution by said processor, cause said processor to execute the functions of the IBO, the AI context profiler and the AI data rationalizer.
3. The system of claim 1 , further comprising an AI relationship generator configured to create a first intelligent relationship object (IRO) which is configured to store a relationship between at least two objects.
4. The system of claim 3 , wherein the AI relationship generator is configured to create the first IRO in response to at least one of an external event, user input, a data input, a change in value of an object or a change in the user proxy IPO.
5. The system of claim 3 , wherein the first IRO relates at least one of data schema fields, significant values, event or time frames.
6. The system of claim 3 , wherein the first IRO comprises at least one of a dependent relationship, an independent relationship or an interdependent relationship.
7. The system of claim 1 , further comprising an AI memory creator configured to create a first intelligent memory object (IMO).
8. The system of claim 7 , wherein the AI memory creator is further configured to create the first IMO in response to the significance level exceeding a threshold level.
9. The system of claim 8 , wherein the first IMO comprises at least one of a contextually significant value, contextual parameter data, user contextual data, an object, a change to an object, a relationship, a user input or a time dimension.
10. The system of claim 9 , wherein the AI memory creator is further configured to store the time dimension as a spatial time dimension in an Intelligent Spatial Object (ISO).
11. The system of claim 1 , wherein the AI data rationalizer is further configured to control data evolution using a belief system.
12. The system of claim 11 , wherein the belief system comprises multiple operating levels.
13. The system of claim 12 , wherein the AI data rationalizer is configured to use the belief system at least partially to determine a property inheritance decision.
14. The system of claim 13 wherein the property inheritance decision is configured to determine that a portion of the data properties of the first IPO are inherited from a second IPO.
15. The system of claim 13 , wherein the AI data rationalizer is further configured to determine the significance level of at least one of the first IPO, the first IEO or the first ICO based upon the user proxy IPO.
16. The system of claim 13 , wherein the AI data rationalizer is further configured to determine the significance level based upon at least one of a cost, a risk or an outcome.
17. The system of claim 16 , wherein the AI data rationalizer is further configured to apply at least one of probabilistic modeling or neural network techniques to determine the at least one of the significance level, the property inheritance decision, or the threshold.
18. The system of claim 9 , wherein the AI data rationalizer is further configured to use at least one of the first ICO or the user proxy ICO as input into the probabilistic modeling.
19. The system of claim 18 , further comprising a plurality of intelligent business objects (IBOs) wherein an IBO comprises at least one of an IPO, an IEO, an ICO, an intelligent relationship object (IRO) or an intelligent memory object (IMO).
20. The system of claim 19 , wherein the plurality of ISOs are stored in an object database.
21. The system of claim 19 , wherein the AI data rationalizer is configured to control the data evolution in response to at least one of a change in a first ISO, a user input, an external event or a continuous AI process.
22. The system of claim 19 , wherein each IPO in the plurality of IBOs are configured to continuously self-define properties of each IPO through a process of interrogating other IPOs.
23. The system of claim 19 , wherein the first IPO is configured to act as an agent for a second IPO.
24. The system of claim 23 , wherein the first IPO is configured to at least one of resolve a data inconsistency associated with the second IPO, cause a second IRO to be created, verify the values of a second IEO associated with the second IPO, resolve a source conflict, or create a new IMO.
25. The system of claim 22 , wherein the first ICO is configured to inherit context from a second ICO.
26. The system of claim 19 , wherein the AI memory creator is configured to continuously monitor potential memories comprising at least one of user activity, user input or the plurality of IBOs.
27. The system of claim 26 , wherein the AI memory creator is further configured to evaluate the potential memories based upon at least one of a cost significance, a revenue significance or an outcome significance associated with the user ICO.
28. The system of claim 27 , wherein the AI memory creator is further configured to create IMOs to create a tailored result set tailored to user contextual significance.
29. The system of claim 28 , further comprising a what-if generator configured to forecast relationships and data values to create what-if predictions, identify significant predictions, or trigger the AI memory creator to save the significant what-if predictions as what-if IMOs in the tailored result set.
30. The system of claim 29 , further comprising a trend generator configured to at least one of identify trends in data values and to create trend predictions, identify significant trend predictions, or trigger the AI memory creator to save the significant trend predictions as trend-IMOs in the tailored result set.
31. The system of claim 30 , further comprising a results formatter configured to format the tailored result set into a result format for presentation to the user.
32. The system of claim 1 , wherein the data rationalizer is further configured to import a plurality of external data feeds.
33. The system of claim 32 , wherein the plurality of data feeds comprise at least one of supply chain or materials management data.
34. The system of claim 32 , wherein the plurality of data feeds comprise healthcare transaction data.
35. The system of claim 33 , wherein the plurality of data feeds relates to multiple hospitals.
36. The system of claim 32 , wherein the plurality of data feeds are in industry specific format.
37. The system of claim 36 , wherein the industry specific format is the HL7 schema.
38. A computer-implemented method, comprising:
creating, by an contextual artificial intelligence (AI) computer, a user proxy intelligent physical object (IPO);
creating, by the computer, a first IPO which is configured to store static attributes of the data element;
creating, by the computer, a first intelligent energy object (IEO) which is configured to store the dynamic attributes of the data element;
creating, by the computer, an intelligent context object (ICO) which is configured to store a context of the data element;
associating, by the computer, at least one of: the first IPO, the first IEO or the first ICO with at least one of: the first IPO, the first IEO or the first ICO
interpreting, by an AI context profiler executed by the computer, a user profile to create a user context and encapsulate the user context in a user context intelligent context object (ICO), wherein the user profile comprises at least one of a job function, a personality profile, user preference, a user history, a user action, or a Myers-Briggs personality profile; and
processing, by an AI data rationalizer executed by the computer, input data and control data evolution.
39. A non-transitory computer readable medium having instructions stored thereon that, in response to execution by a contextual artificial intelligence computer, cause said financial account issuer computer to perform operations comprising:
creating, by an contextual artificial intelligence (AI) computer, a user proxy intelligent physical object (IPO);
creating, by the computer, a first IPO which is configured to store static attributes of the data element;
creating, by the computer, a first intelligent energy object (IEO) which is configured to store the dynamic attributes of the data element;
creating, by the computer, an intelligent context object (ICO) which is configured to store a context of the data element;
associating, by the computer, at least one of: the first IPO, the first IEO or the first ICO with at least one of: the first IPO, the first IEO or the first ICO
interpreting, by an AI context profiler executed by the computer, a user profile to create a user context and encapsulate the user context in a user context intelligent context object (ICO), wherein the user profile comprises at least one of a job function, a personality profile, user preference, a user history, a user action, or a Myers-Briggs personality profile; and
processing, by an AI data rationalizer executed by the computer, input data and control data evolution.