Sap Se

Callidus Software, Inc.

Terison Gregory

Nick Pendar

Arjun Rao

A computing system configured to perform artificial intelligence-powered search and evaluation functionalities is disclosed. The computer system can receive a natural language search input entered through a user interface, request a search engine to perform a search based on the natural language search input, receive search results returned by the search engine, and submit, in runtime, structured data contained in the search results to a large language model. The structured data includes a table including one or more records and a plurality of fields. The computing system can prompt, in runtime, the large language model to generate scores for the one or more records and present the structured data and the scores on the user interface.

Artificial intelligence-powered search and evaluation system

A method includes receiving a data set. The data set includes a plurality of data subsets wherein each data subset is associated with one transaction in a fully or partially masked network. The method further includes processing each data subset according to a plurality of rules to generate a plurality of activation values and an output for the each data subset. The plurality of activation values and the output for the each data subset form an activation pattern for the each data subset. The method also includes generating a predictive model based on the activation patterns. The method further includes identifying a subset of transactions as outliers based on the predictive model.

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Dublin, CA, United States of America

Terison Gregory