Sap Se

Gergana Savova

Jeong-Sook Lee

Gerard Keane

John Pompa

Simone Daiber

Barbara Kuntz

Terrance Weinzierl

Jim Ford

Judith Schneider

Philip Miseldine

Niels Hebling

Normen Rosch

Margo Lutes

Sebastian Werner

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

Type font

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

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Walldorf, Germany

Gergana Savova