Abstract: Systems and methods are provided to create training data, validate, deploy and test artificial intelligence (AI) systems in a virtual development environment, incorporating virtual spaces, objects, machinery, devices, subsystems, and actual human action and behavior.

Abstract: The present disclosure includes techniques pertaining to computer implemented systems and methods for processing semi-structured data. In one embodiment, semi-structured data in a data source is analyzed and structural information about the data is generated. The semi-structured documents may comprise a plurality of fields having associated values. Documents may be analyzed to determine particular fields in the plurality of semi-structured documents. Statistics may be generated to determine, for example, a frequency that each particular field appears in the plurality of semi-structured documents. Particular fields and associated frequencies and other statistics may be stored in a memory, for example.

Abstract: The present disclosure includes techniques pertaining to computer implemented systems and methods for processing semi-structured data. In one embodiment, semi-structured data in a data source is analyzed and structural information about the data is generated. Structural information may be accessed and used to generate a visual representation of the document structures. User selections may be received of particular fields to be included in an output data set. Data for selected fields may be stored in the output data set as a two-dimensional data structure.

Abstract: The present disclosure includes techniques pertaining to computer implemented systems and methods for processing semi-structured data. In one embodiment, semi-structured data in a data source is analyzed and structural information about the data is generated. Structural information may be accessed and used to generate a visual representation of the document structures. User selections may be received of particular fields to be included in an output data set. Data for selected fields may be stored in the output data set as a two-dimensional data structure.

Abstract: The present disclosure includes techniques pertaining to computer implemented systems and methods for processing semi-structured data. In one embodiment, semi-structured data in a data source is analyzed and structural information about the data is generated. The semi-structured documents may comprise a plurality of fields having associated values. Documents may be analyzed to determine particular fields in the plurality of semi-structured documents. Statistics may be generated to determine, for example, a frequency that each particular field appears in the plurality of semi-structured documents. Particular fields and associated frequencies and other statistics may be stored in a memory, for example.

Abstract: A computer readable storage medium includes a data analyzer to build population sets for dimensions of a multi-dimensional data source and to identify intersections of population sets so as to form density metadata. A query processor accesses the density metadata while processing a query.

Abstract: Various embodiments of systems and methods for applying hierarchy information to data items are described. The methods include organizing data items hierarchically when the data items contain no hierarchy information and more particularly applying a hierarchy from a different source or a hierarchy just being created by the user to the data items to produce a hierarchical structure of the data items following the external hierarchy, the relationship between the entities in the external hierarchy and its depth of dependencies. The data items are arranged (ordered and nested) and filtered based on the hierarchy provided. In addition, hierarchical totals may be calculated using the newly produced hierarchy.

Abstract: A computer readable storage medium includes a data analyzer to build population sets for dimensions of a multi-dimensional data source and to identify intersections of population sets so as to form density metadata. A query processor accesses the density metadata while processing a query.

Abstract: A computer readable medium includes executable instructions to deliver data. The executable instructions include a master agent to process requests for access to a single document associated with the master agent. The single document includes document data and a document template. A user agent associated with an end user requests information from the single document. The user agent includes filtering criteria specifying information within the single document that the end user can view. The user agent interacts with the master agent to produce document output corresponding to selected document data within the single document without producing a new instance of the single document.