Sap Se

Vianai Systems, Inc.

Xiwei Zhou

Jing Gu

Xin Xu

Yingyu Chen

Sanjay Rajagopalan

Till Pieper

Karthik Uppuluri

One embodiment of the present invention sets forth a technique for processing unstructured data. The technique includes applying one or more machine learning models to a set of candidate topics extracted from the unstructured data to determine a set of activities of interest included in the set of candidate topics. The technique also includes generating a set of scores for the activities of interest, wherein each score included in the set of scores represents an estimated impact of a corresponding activity of interest on operations within a domain. The technique further includes determining one or more activities included in the set of activities of interest based on a ranking of the activities of interest by the scores, and causing one or more alerts to be outputted in a user interface, wherein each of the alerts is associated with a potential event related to the one or more activities.

Framework for early warning of domain-specific events

A system, a method, and a computer program product for contextual natural language processing in software applications are disclosed. At least one input instruction for a software application is converted, using a natural language processing, to a predetermined format associated with the software application. The converted input instruction is filtered based on at least one parameter associated with the software application. The filtered input instruction is compared to a plurality of transactions associated with the software application. Based on the comparison, at least one transaction in the plurality of transactions capable of being executed by the software application is selected in response to the filtered input instruction. The software application executes the selected transaction based on the filtered input instruction.

Contextual natural language input processing in enterprise applications based on static and dynamic application parameters

An automated database analyzer is uses templates to accommodate multiple database languages, such as SQL and its dialects. The templates are combined with metadata that define a database schema and operations on the database schema. An SQL file instantiates the database schema on a database system being tested. Operations on the database schema may then be performed to assess the performance of the database system being tested.

Template based database analyzer

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Mountain View, CA, United States of America

Xiwei Zhou