Sap Se

Andreas Linke

Dennis Koerner

Bare Said

Jan Teichmann

Tobias Hoehmann

Viktor Kehayov

Michael Saupe

Dariusz Bil

A system, a method, and a computer program product for performing component integration. A first computing system generates a computing component for integration with a second computing system. The first computing system provides the computing component to the second computing system. The second computing system configures the computing component for operation by the first computing system with at least one computing component of the second computing system. The first computing system operates the configured computing component in the second computing system.

Component integration

An analytics mediator facilitates operations of an analytics engine and a corresponding analytics user interface (UI) in analyzing operations of a plurality of microservices. The analytics mediator enables the analytics engine to execute various types of conventional and new types of analyses with respect to the microservices, and to present the results of such analyses using the analytics UI, in a manner that is highly convenient and efficient for a user of the analytics engine, while also maintaining an independence, scalability, and other advantageous features of the microservices.

Analytics mediation for microservice architectures

According to a general aspect, a system for personalized planning based on crowd-sourcing includes a data collector configured to collect task-related data specific to a user from multiple different data sources, and a planning optimizer configured to determine a task list providing upcoming tasks to complete based on an analysis of the task-related data in view of role-based task data and task-tracking information. The planning optimizer obtains a task from other users having a same role as the user based on the role-based task data, determines a suggested activity for completing the task based on the task-tracking information, and provides the task list to the user via a user interface.

Personalized work planning based on self-optimizing role-based crowd-sourced information

According to a general aspect, a system includes a query engine configured to receive a query from a user via a user interface layer for obtaining data from one or more databases, determine if a keyword of the query can be mapped to at least one of a plurality of keyword mappings stored in a semantic layer, and if the keyword cannot be mapped, provide an interactive object, via the user interface layer, to learn a new keyword mapping for the keyword such that the semantics layer is updated with the new keyword mapping for future queries. The system includes a prediction engine configured to check for previous queries of the user or other users that map the query to predict a next query, and the query engine is configured to provide query results of the query and the next query as a suggestion via the user interface layer.

Growing community of inventors

Rauenberg, Germany

Andreas Linke