Abstract: A system may determine one or more data sources which the system is configured to access. The system may provide a set of application programming interfaces (APIs) for interacting with data stored in one or more data sources. The APIs may be accessible to one or more web applications which the system is configured to serve. The system may determine that a web application has requested an operation for interacting with the data through one or more APIs in the set of APIs. The system may determine one or more responses based at least in part on the operation requested by the web application. The system may provide the response(s) to the web application.

Abstract: Techniques for secure and efficient interfacing with a cloud computing service are described. In an embodiment, a cloud computing management service is programmed or configured to communicate with a cloud computing service. The cloud computing management service can be accessed by software engineers that are looking to deploy a software instance to a computing device of the cloud computing service. Thus, the cloud computing management service acts as an intermediary layer in front of the cloud computing service. In an embodiment, the cloud computing management service may store one or more frequently-used system parameters for deployment of software instances. The parameters conform to company's security protocols, compliance protocols, and/or other standards.

Abstract: A method of configuring images for display in a user interface can include accessing an image and information indicating locations of a plurality of features of interest within the image. The method can include determining a first tile arrangement indicating a first quantity of tiles associated with a first zoom level such that each of the first tiles including a portion of the image at a first downsampling such that the first tiles collectively represent the image. The method can include determining a second tile arrangement indicating a second quantity of tiles associated with a second zoom level. The method can include determining a zoom level associated with display of a portion of the image and one or more tiles associated with the portion of the image at the determined zoom level. The method can include generating the determined one or more tiles and displaying them in a browser.

Abstract: The present disclosure relates to a computer system, configured to receive two or more instances of a first route object comprising a geotemporal attribute comprising geospatial and temporal data to define an instance of the first route object; map the two or more instances of the first route object on to digital map data to define respective first route vertices in the digital map; and receive user input defining an interval and applying the defined interval intermediate chronologically adjacent respective first route vertices to define first waypoints between the respective first route vertices.

Abstract: Systems and methods for video georegistration are provided. An example method includes receiving an input video including a plurality of video frames; calibrating a first set of video frames selected from the plurality of video frames to generate a first set of calibrated video frames using a calibration transform; and performing one or more reference georegistrations to a second set of video frames selected from the plurality of video frames to generate a video georegistration transform using the second set of video frames. The second set of video frames have fewer video frames than the first set of video frames. The method further includes generating an output video using the calibration transform and the video georegistration transform.

Abstract: An example method of determining geolocations of composite entities based on information retrieved from heterogeneous data sources comprises: identifying, by a computer system, an association of a first object and a second object with a composite object; receiving, from a first data source associated with the first object by an ontology, a first dataset including a first data item specifying a first time identifier and a first geolocation associated with the first object; receiving, from a second data source associated with the second object by the ontology, a second dataset including a second data item specifying a second time identifier and a second geolocation associated with the second object; and determining, by applying a rule set associated with the ontology to the first dataset and the second dataset, a geolocation of the composite object and a corresponding time identifier.

Abstract: Systems and methods are provided for adaptive data replication. A first data object is stored. One or more first network characteristics of a communication network are detected. A first replication mode is triggered (e.g., a single-master replication mode) based on the one or more first network characteristics of the communication network. The single-master replication may be configured to facilitate real-time synchronizations (e.g., for critical updates). One or more second network characteristics of the communication network are detected. A second replication mode (e.g., a multi-master replication mode) is triggered based on the one or more second network characteristics. The second replication may be configured to facilitate a delayed synchronization (e.g., for non-critical updates) of the first data object and the second data object using the second update file.

Abstract: A distributed, transactional database uses timestamps, such as logical clock values, for entry versioning and transaction management in the database. To write to the database, a service requests a timestamp to be inserted into the database with a new version of data. During a backup procedure, a cleanup process is paused, issuing new timestamps is paused, and a backup timestamp is generated, which results in an effective backup copy. During a restore of a backup, a snapshot of the database is loaded and any entries older than the backup timestamp are deleted, which ensures that a consistent restore has occurred.

Abstract: Systems and methods are provided for analyzing data snippets. One or more snippets can be associated with a data object of an enterprise data platform. The one or more snippets can be organized based on metadata information associated with the one or more snippets. The organized snippets can be analyzed to determine an activity relating to an entity depicted in the one or more snippets.

Abstract: Systems and methods are provided for reducing failure rates of a manufactured products. Manufactured products may be clustered together according to similarities in their production data. Manufactured product clusters may be analyzed to determine mechanisms for failure rate reduction, including adjustments to test quality parameters, product formulas, and product processes. Recommended product adjustments may be provided.

Abstract: A system including first computer memory storing a full data set representable in rows and columns, a second computer memory storing executable instructions, and processors configured to execute the instructions to cause presentation of data of the full data set on a display including columns of data each having data fields, receive user input identifying a column of the data set, determine items to modify in information in the data fields of the identified column, generate and cause display of an indication of a proposed change action to modify the determined items, and in response to a user input indicating a selection of the indication of the proposed change action, update the presentation of the data based on the change action to modify information displayed in the data fields of the identified column of the data, and store a log of the change action.

Abstract: In various example embodiments, a comparative modeling system is configured to receive selections of a data set, a transform scheme, and one or more machine-learning algorithms. In response to a selection of the one or more machine-learning algorithms, the comparative modeling system determines parameters within the one or more machine-learning algorithms. The comparative modeling system generates a plurality of models for the one or more machine-learning algorithms, determines comparison metric values for the plurality of models, and causes presentation of the comparison metric values for the plurality of models.

Abstract: Systems, methods, and non-transitory computer-readable media are provided for data analysis. A user interface comprising boards corresponding to one or more objects and one or more operations on the input and/or output objects of the boards can be generated for high-scale top-down data analysis.

Abstract: Systems, methods, and non-transitory computer readable media are provided for flexible route planning. Locations for a planned movement may be obtained. The locations may include at least a starting location and an ending location. A route for the planned movement may be determined. The route may include at least the starting location and the ending location. A composite cost of using the route may be determined. The composite cost may include at least a temporal cost component and a non-temporal cost component. An interface through which the composite cost is accessible may be provided.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for computer network security risk assessment. One of the methods includes obtaining compromise likelihoods for user accounts. Information describing a network topology of a network is obtained, with the network topology being nodes each connected by an edge to other nodes, each node being associated with a compromise likelihood, and one or more nodes are high value nodes associated with a compromise value. Unique paths to each of the high value nodes are determined for a particular user account. An expected value for each path is determined based on the compromise likelihood of the particular user account, the compromise likelihood of each node included in the path, the communication weight of each edge included in the path, and the compromise value associated with the high value node. User interface data is generated describing at least one path.

Abstract: Described herein are systems, methods, and non-transitory computer readable media for automating the transfer/syncing of datasets or other artifacts from one security domain (e.g., a low security side environment) to another security domain (e.g., a high security side environment) in a seamless manner that complies with requirements of a data transfer mechanism used to transfer data between the two security domains while ensuring data integrity and consistency between the two security domains.

Abstract: A datacenter has more computing power than a personal computer. The personal computer sends a request to perform an operation on a data set to the datacenter. The datacenter evaluates various inputs to determine if, despite the datacenter's computing power, the personal computer is likely to complete the operation faster. Based on the determination, the datacenter may perform the operation, send the data set to the personal computer for the personal computer to process, or start a competitive computation. As a result, a user interface can be more responsive. Machine learning processes can be used to improve predictions.

Abstract: Systems, computer program products, and computer-implemented methods for generating interactive graphical user interfaces, software-based workflows, and data integrations using catalogs of workflow applications and auto-generation of aspects of the workflows.

Abstract: Systems and methods are provided for investigation network activities. Network activity information may be accessed. The network activity information may describe for an individual (1) respective relationship with one or more persons; and (2) respective activity status information indicating whether a given person has engaged in a particular activity. A network activity graph may be generated based on the network activity information. The network activity graph may include two or more nodes representing the individual and the one or more persons. Connections between the nodes may represent the respective relationships between the individual and the one or more persons. Data corresponding to the network activity graph may be presented through an interface.