Sap Se

Karthik S J

Jing Ye

Yann Le Biannic

Prerna Makanawala

Prajesh K

Xiaoqing He

Amy He

Georg Glantschnig

Hongyu Chen

Subhobrata Dey

Riya Thosar

Arjun Karat

A method of improving usability and transparency of machine-learning aspects of applications providing various types of services is disclosed. Based on a request submitted through an administrative user interface, a data readiness check is performed on underlying data associated with the application. Based on a successful completion of the data readiness check, a configuration file is retrieved from an application server. The configuration file specifies a plurality of keys for generating a machine-learned model for the application. The machine-learned model is trained based on the plurality of keys specified in the configuration file. The machine-learned model is selected from a plurality of machine-learned models based on dry runs of the each of the plurality of models. The machine-learned model is activated with respect to the application. Scores are identified from the underlying data items based on the selected machine-learned model.

Applying scoring systems using an auto-machine learning classification approach

Various embodiments of systems and methods for unified configuration for cloud integration are described herein. In an aspect, the method includes rendering a unified configuration interface within a cloud application for performing cloud integration. The unified configuration interface includes a first widget to configure an external system for integration with the cloud application and a second widget to configure an integration flow (iflow) between the external system and the cloud application. The iflow defines data flow between the configured external system and the cloud application. Subsequent to receiving a confirmation of the selected iflow, integrating the external system with the cloud application to share data in the cloud.

Unified configuration for cloud integration

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Sunnyvale, CA, United States of America

Karthik S J