Abstract: The present disclosure relates to systems and methods that use an artificial intelligence (AI) model to generate outputs that can be evaluated to predict which logged entry items match entry request record line items of an entry request record. Additionally, the present disclosure relates to systems and methods for intelligently detecting anomalies within data sets.

Abstract: The present disclosure relates to systems and methods that use an artificial intelligence (AI) model to generate outputs that can be evaluated to predict which logged entry items match entry request record line items of an entry request record. Additionally, the present disclosure relates to systems and methods for intelligently detecting anomalies within data sets.

Abstract: The present disclosure relates to systems and methods that use an artificial intelligence (AI) model to generate outputs that can be evaluated to predict which logged entry items match entry request record line items of an entry request record. Additionally, the present disclosure relates to systems and methods for intelligently detecting anomalies within data sets.

Abstract: The present disclosure relates to systems and methods that use an artificial intelligence (AI) model to generate outputs that can be evaluated to predict which logged entry items match entry request record line items of an entry request record. Additionally, the present disclosure relates to systems and methods for intelligently detecting anomalies within data sets.

Abstract: Systems, methods, and machine-readable memories are provided for partitioning a multi-tenant database between tenants. A first level partition of data in a table within the database is defined. A second level partition of the data in the table within the database is defined. A request is received from an entity associated with a tenant to access a first datum stored in the database. The tenant is determined to be assigned to one or both of the first level partition and the second level partition. Access to the first datum is granted to a first entity where the tenant corresponds to the first tenant and the first datum corresponds to the first level partition parameter value. Access to the first datum is granted to a second entity where the tenant corresponds to the second tenant and the first datum corresponds to the second level partition parameter value.

Abstract: The invention is directed towards a method of partitioning data in a database. The database is configured to be accessed by an entity. The method comprises the steps of defining a first partition within the database, defining a second partition within the database and assigning selected data in the database to the first partition and the second partition, wherein data assigned to both the first partition and the second partition may only be accessed by an entity assigned to both said first partition and said second partition.

Abstract: The invention is directed towards a method of partitioning data in a database. The database is configured to be accessed by an entity. The method comprises the steps of defining a first partition within the database, defining a second partition within the database and assigning selected data in the database to the first partition and the second partition, wherein data assigned to both the first partition and the second partition may only be accessed by an entity assigned to both said first partition and said second partition.

Abstract: The invention is directed towards a method of partitioning data in a database. The database is configured to be accessed by an entity. The method comprises the steps of defining a first partition within the database, defining a second partition within the database and assigning selected data in the database to the first partition and the second partition, wherein data assigned to both the first partition and the second partition may only be accessed by an entity assigned to both said first partition and said second partition.