Sap Se

Judith Schneider

Joachim Fiess

Christian Grail

Klaus Herter

Hans-Juergen Richstein

Manfred Johann Pauli

Gisbert Loff

Tatjana Borovikov

Hanswerner Dreissigacker

Ian Robert Taylor

Philip Miseldine

Gergana Savova

Niels Hebling

Normen Rosch

Sebastian Werner

Margo Lutes

Guido Wagner

Johanna Wittig

Disclosed herein are system, method, and computer program product embodiments for providing a natural, pen-and-paper user experience that harnesses cutting edge artificial intelligence and machine learning to enhance user interactions with data in a suite of software applications. The pen-and-paper user experience may mimic the time-honored human tradition of writing with pen and paper, allowing users to work in an intuitive, productive, familiar fashion. The user experience may automatically retrieve objects, e.g., data, charts, tables, graphs, etc. from backend systems and display the objects in the user experience. The user experience may allow users to provide additional natural language directly on or around the objects and update the displayed results accordingly.

Digital paper based interaction to system data

Disclosed herein are system, method, and device embodiments for implementing semantic discovery. An embodiment operates by retrieving a plurality of entities from a database instance. A semantic graph representation of the plurality of entities is generated within a graphical user interface. Context information is received from a user. A focus node is determined from the plurality of nodes using the context information. A semantic context of the focus node is determined, wherein the semantic context includes the focus node, a subset of the plurality of nodes, and subset of the plurality of edges. Responsive to the receiving, a visual indication of the semantic context is displayed within the graphical user interface.

Semantic discovery

Display system or portion thereof with a virtual three-dimensional animated graphical user interface

Disclosed herein are system, method, and computer program product embodiments for providing a natural, pen-and-paper user experience that harnesses cutting edge artificial intelligence and machine learning to enhance user interactions with data in a suite of software applications. The pen-and-paper user experience may mimic the time-honored human tradition of writing with pen and paper, allowing users to work in an intuitive, productive, familiar fashion, while incorporating artificial intelligence and machine learning techniques to interpret a user's natural language and other pen-strokes in order to better interpret a user's natural language and resolve ambiguity in user inputs. A pen-and-paper-based user experience may be extended and enhanced to allow a user to interact with a suite of applications, a launchpad, a key performance indicator tool, a digital boardroom, or other application using the same pen-and-paper-based design paradigm. Contextual analysis may further be performed on contextual information received from these ancillary applications in order to better resolve ambiguous inputs.

Ambiguity resolution in digital paper-based interaction

A system, method, and computer program product embodiment related to a digital paper-based interaction to system data. An embodiment operates by receiving a written instruction from a user; analyzing the written instruction to determine a user intent and one or more parameters; retrieving a set of data from a data application; rendering a representation of the set of data in the user experience; receiving a second written instruction from the user in response to a condition in the representation of the set of data; deriving a conclusion based on the written instruction and the second written instruction; building a flow comprising a sequence of actions undertaken, by the user experience, in response to a user action; and adding the flow to a knowledge base.

Machine learning in digital paper-based interaction

Rendering multi-dimensional data in a polyhedron, such as a cube, in a 3D environment allows for the ease of visualization of, and interaction with, the underlying data. The approaches herein allow for 3D manipulation of records within the underlying data by filtering the records across elements of a particular dimension. These records may be filtered by physically grabbing a 'drawer'&#x2014;a slice of data within the polyhedron&#x2014;and removing the drawer to a separate space. That drawer then represents all of the underlying records filtered by that slice, and can be further manipulated by additional filtering, or by merging multiple drawers together.

3D data exploration using interactive cuboids

Growing community of inventors

Sulzfeld, Germany

Judith Schneider