Sap Se

Martin Wezowski

Peer Hilgers

Leif Jensen-Pistorius

Thomas Spangemacher

Dave Schikora

Pit Humke

Ole Lilienthal

Michael Burwig

Michael Krenkler

Emil Voutta

Florian Jann

Annette Jann

Kavitha Krishnan

Kai Richter

Rohit Jalagadugula

Sai Hareesh Anamandra

Parthasarathy Menon

Alexander Schaefer

Kathrin Fischer

Vinay George Roy

Hans-Martin Will

A method may include collecting data from a variety of data sources associated with a user. The data sources may include personal data sources, corporate data sources, and public data source. The data collected from the variety of data sources may be enriched through categorization and aggregation. For example, browser history may be categorized based on types of website and aggregated to reflect the quantity of interactions with each category of website. A multi-dimensional digital profile may be generated based on the enriched data. For instance, the digital profile may include a social, emotional, spiritual, environmental, occupational, intellectual, and physical dimension. One or more recommendation corresponding to one or more of a burnout prediction, wellness recommendation, learning plan, skill gap, and personality type may be generated based on the digital profile. Related systems and computer program products are also provided.

Multimodal data framework for digital system representation

Techniques are described for providing normalized object exposure in a collaborative platform. Implementations provide a collaborative platform to enable multiple users to collaborate to address an issue collectively. The platform enables a user to create a work routine in which objects may be added and manipulated by multiple users. The objects may be normalized through use of a normalized object contract. Tools may be added to the work routine, and linked to objects to apply functionality to the object data of the objects. The tools may also comply with the normalized object contract to be consumable within the platform. Through the contract, objects may exhibit a shared common state such that multiple users and/or processes access the same state for a particular object at any given time in a work routine.

Normalized object exposure for collaborative platforms

Techniques are described for service mapping and other backend operations for a collaborative platform. A platform may access data objects from any suitable number of source services. The data model of the platform may be dependent on the data models of its associated source services as well as source service annotations, where such annotations describe the mapping onto the various data model elements. The process of mapping requests and results between the platform and the external data sources at runtime may employ a schema mapping data structure to minimize potential performance impacts. Implementations may employ a hierarchical class structure that is configured to achieve efficient traversal by shifting computational load to initialization time when the source service data models and annotations are processed. The initialization of the structure may be triggered at initialization time of the platform or whenever an administrative action causes changes to the schema mapping.

Source service mapping for collaborative platforms

Techniques are described for polymorph rendering of objects in a collaborative platform and/or other environments, through which the same object is presented differently in the user interface depending on which perspective is being used to render the object. In some implementations, the platform supports multiple renderers and each renderer is associated with a particular perspective. Polymorph rendering may also be described as adaptive rendering, given that the presentation of an object may be adapted to the particular accessors of a work routine, and such adaptation is achieved through use of different renderers to render the object according to different perspectives. A particular renderer can be written once and added to the platform, and that renderer may be applied to a variety of objects. Tools may also be rendered according to various perspectives, given that tools also support the normalized object contract and at least expose the mandatory perspectives.

Polymorph rendering for collaborative platforms

Various embodiments of systems and methods for generating mnemonics are described herein. In an aspect, the method includes receiving a trigger for a mnemonic. Upon receiving the trigger, a menu including options for creating the mnemonic is displayed. A selection of an option from the menu is received for creating the mnemonic. Based upon the selection of the option, one or more pop-up windows for creating the mnemonic is rendered.

Creating dynamic mnemonics

Techniques are described for providing and/or managing work routines (WRs) in a collaborative platform. Implementations provide a platform that enables collaboration between multiple entities (e.g., users) to address an issue collectively, for process management, issue resolution, and so forth. The platform enables the creation of a WR that includes any suitable number of data objects to facilitate management of a process, resolution of an issue, and/or other tasks. The WR may also include any suitable number of tools for controlling the manipulation and/or rendering of the data objects. The platform provides a polymorphism through which data objects may be rendered differently based on the tools that are used to render the tool objects. The platform also provides for the automatic creation of a WR, or a template for a WR, where such creation may be triggered by an event and/or based on a current context.

Work routine management for collaborative platforms

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Berlin, Germany

Martin Wezowski