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.

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.

Disclosed herein is a data estimation technique for a data intake and query system. The system receives user inputs indicative that a first data source is to be the subject of a storage related estimate. The system receives a first plurality of events generated by the first data source. The system indexes only a sample of the received first plurality of events, based on a sampling criterion, where the sample is fewer than all of the first plurality of events. The system generates the storage related estimate based on at least some of the first plurality of events, and causes an indication of the estimate to be output to a user.

Disclosed herein is a data estimation technique for a data intake and query system. The system receives user inputs indicative that a first data source is to be the subject of a storage related estimate. The system receives a first plurality of events generated by the first data source. The system indexes only a sample of the received first plurality of events, based on a sampling criterion, where the sample is fewer than all of the first plurality of events. The system generates the storage related estimate based on at least some of the first plurality of events, and causes an indication of the estimate to be output to a user.

In one embodiment, a method includes receiving at a head-mounted device a speech input from a user and a visual input captured by cameras of the head-mounted device, wherein the visual input comprises subjects and attributes associated with the subjects, and wherein the speech input comprises a co-reference to one or more of the subjects, resolving entities corresponding to the subjects associated with the co-reference based on the attributes and the co-reference, and presenting a communication content responsive to the speech input and the visual input at the head-mounted device, wherein the communication content comprises information associated with executing results of tasks corresponding to the resolved entities.

System and methods may facilitate user guidance to risk relationship documents for an enterprise. A risk relationship document data store may contain a set of electronic data records, each electronic data record being associated with a risk relationship document and including a document identifier and a set of document metadata values. A document navigation computer may receive information from a user associated with the enterprise, and, based on the information received from the user and document metadata values, dynamically create a sub-set of the documents in the risk relationship data document data store. An interactive user interface display computer may provide indications associated with the documents in the dynamically created sub-set to the user via an interactive user interface and receive a selected document of the dynamically created sub-set. The user interface display computer may then, responsive to the selection, deliver the selected document to a remote user device.

A system and method for generating data visualizations. The method includes generating an enriched data layer based on a plurality of knowledge graphs, the plurality of knowledge graphs including a plurality of first nodes, the enriched data layer including a plurality of second nodes, wherein each of the plurality of second nodes is connected via an edge to at least one of the plurality of first nodes; and generating a data visualization based on the enriched data layer and a request for data, wherein the request for data indicates a type of data corresponding to at least one of the plurality of second nodes, wherein the data visualization is generated using data represented by at least one of the plurality of first nodes connected to the at least one of the plurality of second nodes.

A system can aggregate product movement information from a plurality of external information sources and convert the information into provider transactions. Compliance events can be identified in the provider transactions and associated with controlling identifiers assigned to providers associated with the provider transactions from which the compliance events are identified. Risk factor scores can be generated for providers by applying a scoring system to the compliance events and final dispositions of provider transactions respectively associated with providers. A compliance profile can be generated for each provider based on the provider's risk factor scores. The provider's compliance profile can be requested with, transmitted to, and displayed by a graphical user interface operated by an individual or entity authorized to view that provider's compliance profile.