Abstract: The disclosure generally describes methods, software, and systems, including a method for machine learning anomaly detection for a set of assets. Assets are analyzed using anomaly-detection analysis and a set of anomaly-detection rules. Each asset is associated with correlated records comprising characteristics of the particular asset and characteristic of non-asset-specific signals. Each anomaly-detection rule is associated with conditions determined to be indicative of a potential anomaly. At least a subset of the assets are provided for presentation in a user interface. Each asset is identified as being in a potential anomalous or non-anomalous state based on the anomaly-detection analysis. Input is received from a user identifying at least one asset as anomalous as a non-anomalous asset. Based on the received input, at least one anomaly-detection rule is modified that was applied to identify the asset as anomalous. The modified rule is stored for future analyses.

Abstract: The disclosure generally describes methods, software, and systems, including a method for providing a suggested view of asset information for presentation. A set of correlated records is identified for a plurality of assets. The set of correlated records includes a correlated set of at least one characteristic of a particular asset and a characteristic of the non-asset-specific signals. The set of correlated records is analyzed to identify a set of anomaly-detection rules. In a presentation of at least a subset of the assets, an indication of assets associated with a potential anomaly identified. A suggested view is identified based on the potential anomaly and at least one characteristic/signal associated with the determination that the potential anomaly exists. The suggested view is provided for presentation in a user interface.

Abstract: A graphical user interface is rendered that includes a plurality of cards and a launch pad. Each of the cards includes at least one graphical user interface element each with a corresponding information element. Thereafter, first user-generated input is received via the graphical user interface selecting one of the graphical user interface elements. In addition, second user-generated input is received via the graphical user interface selecting the launch pad. In some variations, the first user-generated input and the second user-generated input form a combined gesture. Subsequently, a new card is displayed in the launch pad in the graphical user interface. The new card includes additional information for the information element corresponding to the selected graphical user interface element.

Abstract: Disclosed herein are system, method, and computer program product embodiments for managing completion of a task. An embodiment operates by receiving a selection of a collection configured to complete the task. The embodiment determines a context indicator for analyzing an application object in the selected collection. The embodiment processes the application object in based on the context indicator to generate information for completing the task. Another embodiment operates by receiving a selection of a collection configured to complete a task. The embodiment then determines that completion of the task requires solving a situation defined by a situation definition. The embodiment then identifies an anchor application object in the selected collection based on the situation definition. The embodiment then generates related information and a set of actions for solving the situation based on the anchor application object and the situation definition.

Abstract: A system includes determination of a first measure value associated with a first physical space and a first time period within the analytical data, dynamic determination of a time-dependent association between a first entity or event and the first physical, dynamic mapping of the first measure value to the first entity or event based on the time-dependent association, and presentation of the first measure value in association with the first entity or event.

Abstract: The disclosure generally describes methods, software, and systems, including a method for data collection and correlation of information for a set of assets. A set of asset-specific signals is obtained for a plurality of assets. Each asset has a set of characteristics defining the asset. A set of non-asset-specific signals is obtained. At least a portion of the set of non-asset-specific signals is correlated to at least some of the plurality of assets based on a determined correlation between at least one characteristic of a particular asset and a characteristic of the non-asset-specific signals. For each asset, a correlated record of the particular asset comprising the correlated characteristics is stored.

Abstract: The disclosure generally describes methods, software, and systems, including a method for providing a suggested view of asset information for presentation. A set of correlated records is identified for a plurality of assets. The set of correlated records includes a correlated set of at least one characteristic of a particular asset and a characteristic of the non-asset-specific signals. The set of correlated records is analyzed to identify a set of anomaly-detection rules. In a presentation of at least a subset of the assets, an indication of assets associated with a potential anomaly identified. A suggested view is identified based on the potential anomaly and at least one characteristic/signal associated with the determination that the potential anomaly exists. The suggested view is provided for presentation in a user interface.

Abstract: The disclosure generally describes methods, software, and systems, including a method for machine learning anomaly detection for a set of assets. Assets are analyzed using anomaly-detection analysis and a set of anomaly-detection rules. Each asset is associated with correlated records comprising characteristics of the particular asset and characteristic of non-asset-specific signals. Each anomaly-detection rule is associated with conditions determined to be indicative of a potential anomaly. At least a subset of the assets are provided for presentation in a user interface. Each asset is identified as being in a potential anomalous or non-anomalous state based on the anomaly-detection analysis. Input is received from a user identifying at least one asset as anomalous as a non-anomalous asset. Based on the received input, at least one anomaly-detection rule is modified that was applied to identify the asset as anomalous. The modified rule is stored for future analyses.

Abstract: A system includes determination of a first measure value associated with a first physical space and a first time period within the analytical data, dynamic determination of a time-dependent association between a first entity or event and the first physical, dynamic mapping of the first measure value to the first entity or event based on the time-dependent association, and presentation of the first measure value in association with the first entity or event.

Abstract: Disclosed herein are system, method, and computer program product embodiments for managing completion of a task. An embodiment operates by receiving a selection of a collection configured to complete the task. The embodiment determines a context indicator for analyzing an application object in the selected collection. The embodiment processes the application object in based on the context indicator to generate information for completing the task. Another embodiment operates by receiving a selection of a collection configured to complete a task. The embodiment then determines that completion of the task requires solving a situation defined by a situation definition. The embodiment then identifies an anchor application object in the selected collection based on the situation definition. The embodiment then generates related information and a set of actions for solving the situation based on the anchor application object and the situation definition.

Abstract: A computer-implemented method for interacting with a digital personal assistant having a user interface includes displaying a user interface for a digital personal assistant, receiving user input through the user interface for the digital personal assistant, the user input including a user selection of a collection data structure, containing one or more items, from a set of collection data structures, determining at least a context indicia and a user role, processing at least one item in the selected collection data structure using the context indicia and the user role and generating information for display on the user interface responsive to results of the processing.

Abstract: A business object model, which reflects data that is used during a given business transaction, is utilized to generate interfaces. This business object model facilitates commercial transactions by providing consistent interfaces that are suitable for use across industries, across businesses, and across different departments within a business during a business transaction. In some operations, software creates, updates, or otherwise processes information related to a feed event, a feed event document, and/or a feed event type business object.

Abstract: A business object model, which reflects data that is used during a given business transaction, is utilized to generate interfaces. This business object model facilitates commercial transactions by providing consistent interfaces that are suitable for use across industries, across businesses, and across different departments within a business during a business transaction. In some operations, software creates, updates, or otherwise processes information related to a user feed administrator, a user feed event link and/or a user feed settings business object.

Abstract: A business object model, which reflects data that is used during a given business transaction, is utilized to generate interfaces. This business object model facilitates commercial transactions by providing consistent interfaces that are suitable for use across industries, across businesses, and across different departments within a business during a business transaction. In some operations, software creates, updates, or otherwise processes information related to a feed collaboration group and/or a feed event subscription business object.

Abstract: A system being monitored generates alerts directed at participants as events to be resolved occur. As a participant resolves an alerted event, the system logs the steps taken by the participant to resolve the event and stores the event resolution log associated with the event. From that event resolution log, a template for a workflow process can be automatically generated. When similar events occur again, the participant for those future events can be provided with the prior stored event resolution log and/or automatically generated templates for a workflow processes corresponding to the stored event resolution log. Iterative generation and editing of templates can be provided for, wherein subsequent event resolutions for similar events are used to modify the workflow process templates developed from previous event resolutions. Events can include conditions being met in data stored by the system or events representing the lack of occurrence of expected events.

Abstract: A business object model, which reflects data that is used during a given business transaction, is utilized to generate interfaces. This business object model facilitates commercial transactions by providing consistent interfaces that are suitable for use across industries, across businesses, and across different departments within a business during a business transaction. In some operations, software creates, updates, or otherwise processes information related to a user feed administrator, a user feed event link and/or a user feed settings business object.

Abstract: A business object model, which reflects data that is used during a given business transaction, is utilized to generate interfaces. This business object model facilitates commercial transactions by providing consistent interfaces that are suitable for use across industries, across businesses, and across different departments within a business during a business transaction. In some operations, software creates, updates, or otherwise processes information related to a feed collaboration group and/or a feed event subscription business object.

Abstract: A business object model, which reflects data that is used during a given business transaction, is utilized to generate interfaces. This business object model facilitates commercial transactions by providing consistent interfaces that are suitable for use across industries, across businesses, and across different departments within a business during a business transaction. In some operations, software creates, updates, or otherwise processes information related to a feed event, a feed event document, and/or a feed event type business object.

Abstract: Method and system for widgetizing a web-based application are provided. An example system comprises a widgetizer trigger and a definition module. The widgetizer trigger may be configured to receive at a server computer system, from a web browser application running at a client computer system, a request to widgetize a web-based computer application to permit the computer application to be run as a desktop widget at the client computer system. The definition module may be configured to provide to the client computer application, in response to the request to widgetize, a definition file associated with the computer application, the definition file comprising a reference link to the computer application, the reference link including one or more parameters, the one or more parameters to instruct the computer application to generate output in a format suitable for use by a widget engine provided at the client computer system.

Abstract: Work items are collected from one or more work item providers for presentation to a workflow participant. A work item provider is typically a workflow management system (“WFMS”), but other providers of work items might exist that generate work items and may or may not have their own local worklist. Multiple independent WFMS's of multiple types might provide work items to a universal worklist (“UWL”) service that integrates the work items from all of the providers. Additional integration might be provided between the UWL and work item providers, such as for controlling work item execution with a sub-workflow through an ad-hoc workflow engine. Additional integration provides for custom attributes. Each work item has a type that is used to determine handling for that work item. A universal work list service includes storage for work items, wherein a work item represents a task generated as part of a process flow.