Sap Se

Suchin Chouta

Shashank Mohan Jain

Prabal Mahanta

Srinivasa Reddy Challa

An onboarding request is received from a user to utilize a recommendation service. The onboarding request contains personal data (including an onboarding user identifier and a serial number requesting a stated number of credits), encrypted with a commuting function C, along with clear text account details. A blind trust is established with the user, and the recommendation service signs the onboarding request with a signing function S and sends the signed onboarding request to the user to perform a blind onboarding of the user. A consumption request is then received (e.g., a call to get recommendations) from the user including a consumption user identifier and an approved credits document. The recommendation service can then update a user-item matrix that maps user identifiers with available items and transmit an item recommendation to the user, based on the user-item matrix, and expire the approved credits document by a consumption amount.

Recommendation service using blind signatures

Some embodiments are associated with application performance optimization in a cloud computing environment. A transaction observer platform may receive transaction information associated with execution of an application in the cloud computing environment A classifier recorder and tagger platform, coupled to the transaction observer platform, may then automatically tag the transaction information. A graph engine relation builder platform, coupled to the transaction observer platform and the classifier recorder and tagger platform, may receive the tagged transaction information and automatically create graph information that represents execution of the application. A recommendation engine platform, coupled to the graph engine relation builder platform, may then receive the graph information and automatically generate and transmit an application performance optimization recommendation.

Graph-based application performance optimization platform for cloud computing environment

A system for enterprise analytics may include a Machine Learning ('ML') model data store containing at least one generic ML model and a fine-tuning data store containing prior natural language user requests and associated enterprise database queries generated by analysts. The system may also include an enterprise data store containing enterprise business data. A transformation framework may retrieve the generic ML model and fine-tune the model using the prior user requests and associated enterprise database queries to create a fine-tuned ML model. The framework may then receive a new natural language request from a user and use the fine-tuned ML model and new natural language request to automatically create a new enterprise analytics query. The new enterprise analytics query may then be executed to fetch enterprise analytics data from the enterprise data store. In some embodiments, an analytics chart may be automatically created and provided to the user.

Transforming natural language request into enterprise analytics query using fine-tuned machine learning model

A system may include a nested probabilistic data structure that contains nested tables, each table having electronic records associated with different hash functions. A data analytics engine may receive information about a detected action, including action characteristics. In response to the detected action, insertions are executed into the nested probabilistic data structure at multiple levels based on the action characteristics (each insertion incrementing an entry in the data structure selected using the hash functions). The engine then continues to monitor for detected actions. Upon receipt of a query associated with the monitored action (including a query type), a key and level of nesting associated with the query is determined based on the query type. The hash functions are executed on the determined key to retrieve a value from each electronic record in an appropriate nested table, and a minimum of the retrieved values is output in response to the query.

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Udupi, India

Suchin Chouta