Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A workflow assistant can provide for improved memory aids and workflow management. The workflow assistant can retrieve context information from a base application to facilitate the creation of memory aids and workflow management items. Textual analysis can be applied to user input to determine data elements, data objects, assistant items, and collections that may be relevant to a memory or workflow aid. The workflow assistant can suggest actions for a user to take, such as based on text analysis of user input or the contents of a collection. Technical features such as a context analyzer that retrieves information from the base application for access by the workflow assistant can make the workflow assistant more dynamic and reduce the user interaction needed to create or modify a memory or workflow aid.

Abstract: 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.

Abstract: 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.

Abstract: 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 further incorporate artificial intelligence and machine learning techniques in order to provide real-time insights, ad-hoc analyses, anticipate user actions, and improve overall usability based on prior interactions.

Abstract: Disclosed herein are system, method, and computer program product embodiments for a modularized application framework. The embodiments disclosed herein may be used in enterprise software and development platforms to quickly deploy new applications and updates, using a decoupled modular configuration executed by a core framework. An embodiment operates by loading a first and second module into a framework. Information and/or services may be transferred from the first module to the second module or vice versa using the framework. Then, the first or second module is unloaded from the framework while the other module remains functional.

Abstract: Disclosed herein are system, method, and computer program product embodiments for a modularized application framework. The embodiments disclosed herein may be used in enterprise software and development platforms to quickly deploy new applications and updates, using a decoupled modular configuration executed by a core framework. An embodiment operates by loading a first and second module into a framework. Information and/or services may be transferred from the first module to the second module or vice versa using the framework. Then, the first or second module is unloaded from the framework while the other module remains functional.

Abstract: A workflow assistant can provide for improved memory aids and workflow management. The workflow assistant can retrieve context information from a base application to facilitate the creation of memory aids and workflow management items. Textual analysis can be applied to user input to determine data elements, data objects, assistant items, and collections that may be relevant to a memory or workflow aid. The workflow assistant can suggest actions for a user to take, such as based on text analysis of user input or the contents of a collection. Technical features such as a context analyzer that retrieves information from the base application for access by the workflow assistant can make the workflow assistant more dynamic and reduce the user interaction needed to create or modify a memory or workflow aid.

Abstract: A method, including executing instructions recorded on a non-transitory computer-readable storage media using at least one processor, may include loading a component from a repository in a first user interface, notifying a second user interface that the component is loaded in the first user interface, performing one or more checks on the component using a check engine and generating one or more check results, storing the check results in a buffer and displaying the check results in the second user interface. The first user interface, the second user interface, the buffer and the check engine may be integrated modules of a single application.

Abstract: Systems and methods for providing an integrated computer environment for software design and implementation are described. A number of UI components are connected in several sequences in the integrated computer environment. Each sequence describes a screenflow corresponding to a particular task in a software application. The screenflows are combined in a normalized interaction diagram representing the sequences of screens for every task that could be performed in the software application. The interaction diagram aggregates the similar UI components in different screenflows to avoid redundant duplicates. The UI components are bound to at least one business object (BO) as defined in a backend computer system. The software application is implemented and ready to be executed after the binding.

Abstract: A method, including executing instructions recorded on a non-transitory computer-readable storage media using at least one processor, may include loading a component from a repository in a first user interface, notifying a second user interface that the component is loaded in the first user interface, performing one or more checks on the component using a check engine and generating one or more check results, storing the check results in a buffer and displaying the check results in the second user interface. The first user interface, the second user interface, the buffer and the check engine may be integrated modules of a single application.

Abstract: A non-transitory recordable storage medium having recorded and stored thereon instructions that, when executed, may perform the actions of assigning an object as a selected object in a property window in response to a selection of the object, the object including a driven property and a driving property, reading one or more properties of the selected object, determining an instance value of the driving property using a custom property descriptor and returning a value of the driven property based on the instance value of the driving property using the custom property descriptor.