The disclosed embodiments provide a system for processing data. During operation, the system obtains a feature configuration for a feature. Next, the system obtains, from the feature configuration, an anchor containing metadata for accessing the feature in an environment. The system then uses one or more attributes of the anchor to retrieve one or more feature values of the feature from the environment. Finally, the system provides the one or more feature values for use with one or more machine-learning models.

The disclosed embodiments provide a system for processing data. During operation, the system obtains a feature configuration for a feature. Next, the system obtains, from the feature configuration, an anchor containing metadata for accessing the feature in an environment. The system then uses one or more attributes of the anchor to retrieve one or more feature values of the feature from the environment. Finally, the system provides the one or more feature values for use with one or more machine-learning models.

This disclosure relates to extracting data associated with a view of an application from a plurality of applications, said application being executed by a mobile computing device and said view being displayed at a display wherein said method comprises the steps of retrieving a variable data set associated with said view of said application from a memory of said mobile computing device, said variable data set comprising at least one data element, said at least one data element of said variable data set characterizes said view of said application and assigning a cluster to each of said at least one data element of said variable data set based on said variable type, said variable with corresponding value and a predefined set of clusters and determining the type of application based on said cluster assigned to each of said at least one data element of said variable data set.

This disclosure relates to extracting data associated with a view of an application from a plurality of applications, said application being executed by a mobile computing device and said view being displayed at a display wherein said method comprises the steps of retrieving a variable data set associated with said view of said application from a memory of said mobile computing device, said variable data set comprising at least one data element, said at least one data element of said variable data set characterizes said view of said application and assigning a cluster to each of said at least one data element of said variable data set based on said variable type, said variable with corresponding value and a predefined set of clusters and determining the type of application based on said cluster assigned to each of said at least one data element of said variable data set.

Systems and techniques for dynamic generation and injection of edge-cached meta-data are described herein. A request for a component of a web page requested by a user from a content delivery network may be received. The component may be retrieved from an application server. Instructions may be generated for the component. The instructions may be injected around the component may be wrapped to form a wrapped component. The wrapped component may be transmitted to the content delivery network for storage in an edge cache.

Systems and techniques for dynamic generation and injection of edge-cached meta-data are described herein. A request for a component of a web page requested by a user from a content delivery network may be received. The component may be retrieved from an application server. Instructions may be generated for the component. The instructions may be injected around the component may be wrapped to form a wrapped component. The wrapped component may be transmitted to the content delivery network for storage in an edge cache.

This disclosure relates to method and system for generating and rendering a customized dashboard. The method includes initiating a schema-less dashboard canvas through a frontend application that invokes a server-less library. The method further includes integrating a set of widgets selected by a user, from the plurality of native widgets and from the plurality of third-party widgets, with the schema-less dashboard canvas using the server-less library. The method further includes generating metadata for each of the set of widgets based on a corresponding configuration performed by the user. The method further includes associating the metadata with a user account of the user for subsequent rendering of the customized dashboard for the user.

This disclosure relates to method and system for generating and rendering a customized dashboard. The method includes initiating a schema-less dashboard canvas through a frontend application that invokes a server-less library. The method further includes integrating a set of widgets selected by a user, from the plurality of native widgets and from the plurality of third-party widgets, with the schema-less dashboard canvas using the server-less library. The method further includes generating metadata for each of the set of widgets based on a corresponding configuration performed by the user. The method further includes associating the metadata with a user account of the user for subsequent rendering of the customized dashboard for the user.

The invention relates to the field of industrial automation and process control systems. More specifically, the invention provides methods, systems and computer program products that optimize scheduling of parameter data retrieval from devices that are coupled with and controlled by a control system. In a particular embodiment, the invention provides methods, systems and computer programs for scheduled parameter data retrieval from one or more field devices implemented within a process control environment. In other embodiments, the invention additionally provides methods, systems and computer programs for retrievably storing a scheduling map for enabling scheduled parameter data retrieval from one or more field devices implemented within a process control environment.

The invention relates to the field of industrial automation and process control systems. More specifically, the invention provides methods, systems and computer program products that optimize scheduling of parameter data retrieval from devices that are coupled with and controlled by a control system. In a particular embodiment, the invention provides methods, systems and computer programs for scheduled parameter data retrieval from one or more field devices implemented within a process control environment. In other embodiments, the invention additionally provides methods, systems and computer programs for retrievably storing a scheduling map for enabling scheduled parameter data retrieval from one or more field devices implemented within a process control environment.