Universal data discernment
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 system comprising:
a network interface communicating with a memory;
the memory communicating with a data discernment processor, wherein the memory stores a data discernment computer program; and
the processor, when executing the computer program, performs operations comprising:
analyzing, by the processor, first input data;
identifying, by the processor and based upon the analyzing, first item information associated with a first item identifier, wherein the first item identifier identifies a first item;
analyzing, by the processor, a master database to identify a first relationship between the first item and an first existing item, wherein the first existing item is one of a plurality of existing items; and
creating, by the processor, a first intelligent business object (IBO) to store at least one of at least a portion of the first item information and the first relationship.
2. The system of claim 1 , wherein the first item information comprises at least one of a first item attribute and a first item context.
3. The system of claim 1 , the operations further comprising determining a first context of the first item, wherein the context is based upon at least one of the first item information, first input data, a second input data, a first data source, a supplier of the first item, a cost structure of the first item, a function of the first item, a manufacturer of the item, a complimentary item that is complimentary to the first item, a substitute item that is a substitute to the first time, and a user of the item.
4. The system of claim 1 , the operations further comprising validating the first item identifier and the first item information.
5. The system of claim 1 , the operations further comprising analyzing the first input data to identify a second item and analyzing the first item with respect to the second item.
6. The system of claim 5 , the operations further comprising identifying a match between the first item and the second item.
7. The system of claim 1 , the operations further comprising identifying a match between the first item and the first existing item.
8. The system of claim 7 , wherein the identifying a match is based upon a probabilistic calculation.
9. The system of claim 8 , the operations further comprising determining, based upon the analyzing the first input data and the analyzing the master database, that the first item is a new item and storing the first IBO in the master database.
10. The system of claim 1 , the operations further comprising creating a first intelligent relationship object (IRO) to store a relationship between the first IBO and a second IBO wherein the second IBO comprises at least one of the first existing item, a second existing item, a supplier, a customer, a data consumer, a function, a purchase order, a purchase history and an attribute of a related item.
11. The system of claim 1 , Wherein the item information comprises a first item attribute, wherein the first item attribute comprises at least one of a static attribute and a dynamic attribute.
12. The system of claim 1 , the operations further comprising calculating a weighted association between the first IBO and a second IBO.
13. The system of claim 1 , wherein the calculating the weighted association is based upon at least one of a probabilistic calculation, an analysis of the plurality of existing items and an analysis of existing relationships among the plurality of existing items.
14. The system of claim 1 , the operations further comprising calculating a probability of fitness (POF) for the first IBO.
15. The system of claim 14 , the operations further comprising determining, based upon the POF, whether to make the first IBO available to a consumer.
16. The system of claim 14 , the operations further comprising determining, based upon the POF, to make the first IBO available to a first consumer but not to a second consumer.
17. The system of claim 16 , wherein at least one of the first consumer and the second consumer is a hospital, wherein the hospital uses the first IBO to determine at least one of order information, pricing information, an order strategy and a pricing strategy.
18. The system of claim 1 , wherein the first input data comprises a supplier data set, wherein the supplier comprises at least one of a supplier, a distributor, a vendor and a manufacturer of the first item.
19. A non-transitory computer-readable storage medium having computer-executable instructions stored thereon that, in response to execution by a data discernment computer, causes the computer perform operations comprising:
analyzing, by the computer, first input data;
identifying, by the computer and based upon the analyzing, first item information associated with a first item identifier, wherein the first item identifier identifies a first item;
analyzing, by the computer, a master database to identify a first relationship between the first item and an first existing item, wherein the first existing item is one of a plurality of existing items; and
creating, by the computer, a first intelligent business object (IBO) to store at least one of at least a portion of the first item information and the first relationship.
20. A computer-based method comprising:
analyzing, by a data discernment computer, first input data;
identifying, by the computer and based upon the analyzing, first item information associated with a first item identifier, wherein the first item identifier identifies a first item;
analyzing, by the computer, a master database to identify a first relationship between the first item and an first existing item, wherein the first existing item is one of a plurality of existing items; and
creating, by the computer, a first intelligent business object (IBO) to store at least one of at least a portion of the first item information and the first relationship.