Abstract: Systems are provided for managing access to a log of dataset that is generated when the dataset is accessed. A system stores, with respect to each of a log producer and a log accessor, an encrypted symmetric key for dataset that is encrypted using a corresponding public key. The system returns the encrypted symmetric key for the log producer, such that the log producer can decrypt the dataset that is encrypted using the symmetric key. A log of the dataset is generated when the log producer accesses the dataset.

Abstract: Methods and systems for providing a user interface and workflow for interacting with time series data, and applying portions of time series data sets for refining regression models. A system can present a user interface for receiving a first user input selecting a first model from a list of models for modeling the apparatus, generate and display a first chart depicting a first time series data set depicting data from a first sensor, generate and display a second chart depicting a second time series data set depicting a target output of the apparatus, receive a second user input of a portion of the first time series data set, and generate and display a third chart depicting a third time series data set depicting an output of the selected model and aligned with the second chart of the target output and updated in real-time in response to the second user input.

Abstract: Systems and methods are provided for obtaining a media, the media including an image, audio, video, or combination thereof. An input may be received regarding one or more features or frames of the media to be maintained in or removed from the media. One or more criteria of a lossy compression technique may be inferred based on the received input, using a machine learning model, based on the received input. The inferred criteria of the lossy compression technique may be applied to the media.

Abstract: Systems and methods are provided for selecting training examples to increase the efficiency of supervised active machine learning processes. Training examples for presentation to a user may be selected according to measure of the model's uncertainty in labeling the examples. A number of training examples may be selected to increase efficiency between the user and the processing system by selecting the number of training examples to minimize user downtime in the machine learning process.

Abstract: A method includes receiving an indication of a request from a client device. The request is for establishing an access session to perform one or more actions on data of a data processing platform. The method includes receiving data indicative of a context of the access session request and establishing a challenge session associated with the request that indicates one or more challenges required of a user associated with a client device to successfully respond to in order to establish the requested access session, a number or a type of the one or more challenges being determined based on the context, and establishing an access session to enable the user to perform the one or more actions on the data of the data processing platform if responses to all challenges in the challenge session are successful.

Abstract: A collaborative planning system facilitates sharing of critical plans (e.g., a military mission plan) within an organization and managing authorizations of the plans from reviewers at multiple levels within the organization. Once the plans are approved, a data object representative of the plans is created and stored in an ontology of data objects (with objects of various types and associations between related data objects) so that the plans may be identified as associated with related data objects via searches of the data objects in the ontology.

Abstract: A method comprises storing data objects in a non-graph data repository, each data object including a data source record; storing metadata of the data source records in a graph data repository, comprising transforming a reference in a first data object, which links the first data object to a second data object in the non-graph data repository, into a link node having a first edge connected to a first node representing the first data object and having a second edge connected to a second node representing the second data object, in the graph data repository; receiving a query for a shortest path between two specified nodes; executing the query on the graph data repository to obtain a result set; transforming the result set into a set of data objects in the non-graph data repository; providing the set of data objects, including the corresponding data source records, in response to the query.

Abstract: A method of securely deploying a software package comprises storing validity data describing restricted use of a restricted use token; receiving a command including a URL to deploy a software package; testing validity of the URL based on the validity data; and downloading, when the testing is successful, the software package via a secure channel, wherein the method is performed using one or more processors.

Abstract: Systems and methods are provided for generating and storing data snippets. A data file can be obtained from a data source through a plug-in interface. The data file can be played to a user through an application running on a computing device. An indication can be received from the user, through the application, to tag an entity depicted in the data file during playback of the data file. A snippet of the data file can be stored, wherein the snippet is a portion of the data file corresponding to the entity tagged by the user.

Abstract: A system comprising a computer-readable storage medium storing at least one program and a method for integrating collaborative spreadsheet data into one or more network applications is presented. The method may include accessing an application data schema comprising a set of constraints on application data consumed by an application hosted by an application server. The method may further include accessing a spreadsheet having one or more data validation rules. The method may further include determining whether the one or more data validation rules include the set of constraints. In response to determining the one or more data validation rules include the set of constraints, application data consumed by the application is synchronized with spreadsheet data corresponding to the spreadsheet.

Abstract: A system includes a communications interface configured to receive a plurality of data series captured by a plurality of sensors. A first database includes at least a first data series of the plurality of data series. A second database includes metadata related to the first data series. One or more processors are configured to receive an instruction including an indication of a computation to perform and metadata filter criteria, query the second database to determine at least a portion of the first data series that satisfies the metadata filter criteria by reference to at least the metadata related to the first data series, access, from the first database and based on results of the query of the second database, the portion of the first data series, and perform the computation on the portion of first data series accessed from the first database.

Abstract: Example embodiments relate to indicating results that overlap between multiple sets of search results.

Abstract: Systems, techniques, and user interfaces are disclosed for an object-centric builder software that can utilize an ontology to design, configure, and build a workflow application that also references the ontology to perform a workflow. The ontology may serve as a data model for stored data associated with the particular workflow. The builder software may leverage the ontology to obtain advance knowledge of the availability and structure of the stored data that will be accessible to the workflow application at run-time, in order to build a workflow application that is well-tailored for that particular workflow. This approach may also result in flexible workflow applications that are easily built and maintained.

Abstract: Aspects of the present disclosure relate to computer system security. A machine accesses a set of records corresponding to a set of users having access to a computer system. The machine stores, for each user in the set of users, a baseline profile representing baseline activity of the user with respect to a set of data sources of the computer system. The machine monitors activity of the set of users with respect to the set of data sources. The machine determines, based on monitoring the activity of the set of users, that a user action of a specified user, with respect to one or more data sources from the set of data sources, is anomalous relative to the baseline profile of the specified user. The machine provides a digital transmission representing the anomalous user action.

Abstract: Systems and methods are provided for enhanced machine learning refinement and alert generation. An example method includes accessing datasets storing customer information reflecting transactions of customers. Individual risk scores are generated for the customers based on the customer information. Generating the risk score includes providing identified occurrences of scenario definitions and customer information as input to one or more machine learning models, the scenario definitions identifying occurrences of specific information reflected in the datasets, with the machine learning models assign respective risk scores to the customers. An interactive user interface is presented.

Abstract: A resource dependency system displays two dynamically interactive interfaces in a resource dependency user interface, a hierarchical resource repository and a dependency graph user interface. User interactions on each interface can dynamically update either interface. For example, a selection of a particular resource in the dependency graph user interface causes the system to update the dependency graph user interface to indicate the selection and also updates the hierarchical resource repository to navigate to the appropriate folder corresponding to the stored location of the selected resource. In another example, a selection of a particular resource in the hierarchical resource repository causes the system to update the hierarchical resource repository to indicate the selection and also updates the dependency graph user interface to display an updated graph, indicate the selection and, in some embodiments, focus on the selected resource by zooming into a portion of the graph.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for network risk assessment. One of the methods includes obtaining information describing network traffic between a plurality of network devices within a network. A network topology of the network is determined based on the information describing network traffic, with the network topology including nodes connected by an edge to one or more other nodes, and with each node being associated with one or more network devices. Indications of user access rights of users are associated to respective nodes included in the network topology. User interface data associated with the network topology is generated.

Abstract: Disclosed herein are systems and techniques for centralized data retention and deletion. Data can be ingested from multiple external data sources and saved internally for use to process data modification (e.g., deletion) requests via a data processing pipeline, which may apply eligibility checks and modification logic to determine the appropriate modifications to the relevant data items to comply with the data modification request. Various user interfaces may be generated to provide a user with oversight of the data processing pipeline and the data modifications. The user may review and trigger the modification of data stored at the external data sources and/or internally.