Mastercard International Incorporated

Stephen G Schwent

Matthew Edward Hopkins

Sandeep Chakravarthy Chimakurthi

Cliff Ravenscraft

A computer system includes a processor, a file system having a query application and a query interface, a database, and a query interface extension executing on the processor. The database includes a plurality of business intelligence (BI) data objects. Each of the BI data objects is associated with one or more data parameters. The query interface extension intercepts a data call from the query application to the query interface for data corresponding to one or more of the BI data objects. The data call includes one or more selected parameters. The data call is parsed to ascertain the one or more selected parameters. Data corresponding to the one or more BI data objects is obtained from the database based on the one or more selected parameters. A data prediction result is appended to the obtained data.

Database query interface extension for machine learning algorithms in business intelligence applications

A computer system includes a processor and a database. The database includes a plurality of business intelligence (BI) data objects. Each of the BI data objects is associated with one or more data parameters. The processor is programmed with computer-executable instructions that cause the processor to run user code associated with a runtime environment that is hosted on the database. The user code includes executable source code that is not an intrinsic part of the database. The user code is created and deployed into the database and is configured to intercept a data call from a query application to a query interface for data corresponding to one or more of the BI data objects. The data call includes one or more selected parameters. The data call is parsed to ascertain the one or more selected parameters. Data corresponding to the one or more BI data objects is obtained from the database based on the one or more selected parameters. A data prediction result is appended to the obtained data.

Transparent integration of machine learning algorithms in a common language runtime environment

A computer-implemented method including executing instructions stored on a computer-readable medium is provided. The method includes receiving a request for location services from a user, the request including one or more request parameters. The method also includes formatting the request as a single uniform resource locator (URL) string including the one or more request parameters and transmitting the formatted request to a first of a plurality of geolocation service providers. The method also includes receiving from the first of a plurality of geolocation service providers one or more geographic coordinates related to the request and the one or more request parameters. The method includes outputting the one or more geographic coordinates to the user.

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O'Fallon, MO, United States of America

Stephen G Schwent