Abstract: Embodiments provide systems, methods and computer program products for cloud replication of data. One embodiment includes, accessing a virtual table definition and a data collection definition, the virtual table definition comprising a definition of a set of virtual table fields and a mapping of the set of virtual table fields to a set of target data types; automatically creating a virtual table according to the virtual table definition, the virtual table comprising the set of virtual table fields populated with the data of interest according to the data collection definition; and sending the virtual table and the mapping to a cloud computing environment. One embodiment further includes, in the cloud computing environment, storing the set of virtual table fields as a set of physical table fields in a physical table in a cloud hosted database, the set of physical table fields having the set of target data types.

Abstract: A text mining system providing NLP and NLU capabilities is operable to perform, at a first processing layer, a first operation on input data to produce metadata about the input data. At a second processing layer, a rules module applies a composite AI extraction rule to further process the input data. The composite AI extraction rule has a rule condition that leverages the metadata from the first operation and a rule action that involves a second operation. Other composite AI extraction rules involving multiple text mining operations may also be applied. For instance, a rule may specify using the tonality of a document from a sentiment analysis to classify the document according to a relevant taxonomy. Another rule may specify classifying documents of a particular type under a specific category. In this way, new/enhanced information about the input data can be deduced, validated, and/or enriched.

Abstract: A text mining system providing NLP and NLU capabilities is operable to perform, at a first processing layer, a first operation on input data to produce metadata about the input data. At a second processing layer, a rules module applies a composite AI extraction rule to further process the input data. The composite AI extraction rule has a rule condition that leverages the metadata from the first operation and a rule action that involves a second operation. Other composite AI extraction rules involving multiple text mining operations may also be applied. For instance, a rule may specify using the tonality of a document from a sentiment analysis to classify the document according to a relevant taxonomy. Another rule may specify classifying documents of a particular type under a specific category. In this way, new/enhanced information about the input data can be deduced, validated, and/or enriched.

Abstract: Embodiments of a print analysis system are disclosed herein. Embodiments of these print analysis systems may include a print analyzer deployed on one or more printers within an enterprise environment and executing on the printers themselves. The print analyzer on the printer may then apply one or more print analysis rules to a document. Additionally, or alternatively, the print analyzer may send the document to a content management system for storage in a workspace or other storage area corresponding to printed documents of the enterprise. The documents in the workspace on the content management system may be evaluated or analyzed to provide understanding or insight into the documents printed in the enterprise environment.

Abstract: Embodiments of a print analysis system are disclosed herein. Embodiments of these print analysis systems may include a print analyzer deployed on one or more printers within an enterprise environment and executing on the printers themselves. The print analyzer on the printer may then apply one or more print analysis rules to a document. Additionally, or alternatively, the print analyzer may send the document to a content management system for storage in a workspace or other storage area corresponding to printed documents of the enterprise. The documents in the workspace on the content management system may be evaluated or analyzed to provide understanding or insight into the documents printed in the enterprise environment.

Abstract: Embodiments of content assessment systems are provided herein. A content assessment system may gather metadata of content objects and process the content objects to extract targeted content of interest from the unstructured content of the content objects or to provide an indication of the content objects that include the target content of interest. The metadata and target content of interest can be stored as structured data in a content assessment repository. The structured content assessment data can be accessed to identify content assets for processing including migration of content assets.