Abstract: The present disclosure relates to determining the shareability of values of node profiles. Record objects and electronic activities of a system of record corresponding to a data source provider may be accessed. Each record object may correspond to a record object type and have one or more object field-value pairs. Node profiles may be maintained. Values of fields corresponding to a predetermined type of field including fewer than a predetermined threshold number of data source providers may be identified. A restriction tag used to restrict populating other node profiles may be generated. Provision of the value with a second data source provider may be restricted.

Abstract: Predictive revision recommendations are disclosed. A first tokenized file is received, as is a second tokenized file. An indication is received that a modification has been made to the first tokenized file. A determination that a token in the first tokenized file has an association with a token in the second tokenized file is made. Based at least in part on the received indication, a recommended action that should be taken with respect to the second tokenized file is generated. A change to at least one related token is predicted based on a past history of correlated events occurring to the first token and related tokens.

Abstract: Artificial intelligence (AI)-based process identification, extraction, and automation for robotic process automation (RPA) is disclosed. Listeners may be deployed to user computing systems to collect data pertaining to user actions. The data collected by the listeners may then be sent to one or more servers and be stored in a database. This data may be analyzed by AI layers to recognize patterns of user behavioral processes therein. These recognized processes may then be distilled into respective RPA workflows and deployed to automate the processes.

Abstract: A system for organizing, managing, and reporting data relating to a corporate entity, comprising; at least one database configured to store a document record relating to a corporate action, the document record further comprising a core record reflecting human-readable information for incorporation into the generated document and stored with the document record, the document record further comprising a set of tags stored with the document record; a business logic module, coupled to the at least one database; and at least one document template stored in the at least one database and comprising instructions for generating, at the business logic module, a document based on the core record with an initial set of tags, wherein a first tag of the set of tags is in a text format and associates a human-readable document type with the document record, thereby providing namespaced tagging and retrieval of document records.

Abstract: Methods, apparatus, and articles of manufacture to measure search results are disclosed. An example method includes processing a search query to return a listing of search results including a first search result and a second search result; and ordering the first search result and the second search result based on a first preview metric associated with the first search result and a second preview metric associated with the second search result, the first preview metric including a first ratio based on a first count of preview events for the first search result and a second count of impressions of the first search result in the search query, the second preview metric including a second ratio based on a third count of preview events for the second search result and a fourth count of impressions of the second search result in the search query.

Abstract: The present disclosure relates to systems and methods for parsing unstructured data with neural networks. In one implementation, a system for parsing unstructured data may include at least one processor and at least one non-transitory memory storing instructions that, when executed by the at least one processor, cause the system to: receive unstructured data; apply a classifier to the unstructured data to identify a type of the unstructured data; based on the identification, select a corresponding neural network; apply the selected neural network to the unstructured data to obtain structured data; and output the structured data.

Abstract: One example method includes connecting to a fileserver of a data protection system, initiating, at a client, an operation that is associated with a master pseudofs of the fileserver, creating, at the client, a client-specific pseudofs based upon the master pseudofs, and the client-specific pseudofs includes only those nodes of the master pseudofs that the client is authorized to access, and performing the operation using the client-specific pseudofs.

Abstract: The present disclosure pertains to computer-assisted search of image slices. In some embodiments, an image slice having a detected finding (and representing a cross section of at least a portion of an individual) may be determined. A search space may be reduce to a subset of image slices respectively representing a cross section corresponding to the cross section represented by the determined image slice. The search space reduction may comprise filtering a set of image slices based on the cross section represented by the determined image slice. Image slice information related to the determined image slice and related one or more image slices (of the image slices subset) may be obtained based on the search space reduction. A determination of whether indications of the detected finding exist in the image slices (of the image slices subset) may be effectuated based on the image slice information.

Abstract: A method includes executing a configuration engine on one or more data processing device(s) of a computing system. In accordance with the execution, the method also includes discovering at least a subset of a number of resources associated with a target environment of the computing system, generating an environment definition associated with the target environment, building baseline configurations, policies and metadata for at least the subset of the number of resources, and versioning the aforementioned data.

Abstract: For determining a relevant file save location, a processor acquires metadata for a new file. The processor further assigns content tags for the new file based on file content and the metadata. The processor calculates a location correlation to folders of a file system using a file system database. The processor further presents a ranked display of the folders based on the location correlation on a display. The processor moves the new file to a selected folder.

Abstract: First and second trees having leaves identified by hexadecimal values are generated. First files from a first file set are allocated across the first tree based on hashes of the first files. The hashes of the first files are translated into first leaf index values. Second files from a second file set are allocated across the second tree based on hashes of the second files. The hashes of the second files are translated into second leaf index values. The first and second leaf index values are compared to identify leaves that are the same between the first and second trees. A similarity index indicating a degree of similarity between the first and second sets of files is created based on the comparison.

Abstract: An incentivized electronic platform includes machine instructions when executed by the CPU that transmits a splash screen for displaying a contest to a mobile device, transmits a selection screen displaying a number of selections prompts corresponding to a digital register of songs, albums, and/or artists, receives a plurality of selections from the selection screen to form a digital record label, and calculates and transmits a score for the digital record label based on points assigned by an activity tracking algorithm and activity tracking parameters to a user.

Abstract: A method is provided for verifying and/or updating map geometry based on a probe data. A method may include: receiving probe data from a plurality of probes within a region, where the probe data includes at least one of heading information and location information for each probe data point; matching the probe data to a link segment to generate map-matched probe data; calculating a difference between the at least one of heading information and location information of the map-matched probe data points and of the link segment; determining a statistical mean of the data; determining an error of the statistical mean of the data; and flagging the link segment for manual review in response to the statistical mean being greater than the error of the statistical mean multiplied by a biasing factor.

Abstract: Embodiments of the disclosure provide a method of managing information related to a cannabis product across a distributed validated system. The method includes enabling an authorized user to create a plurality of data containing genetic profile of a seed, plant growth conditions of a crop, and manufacturing information used for production of the cannabis product, and measurements of quality and quantity of desired components and undesired components in the cannabis product. The method includes associating the plurality of data to a record which is identified by a unique identifier. The method includes storing the record into a memory for access by one or more of a plurality of authorized users using the unique identifier. The method includes analyzing the cannabis product to determine the quality and quantity of desired components and undesired components in the cannabis product. The method includes determining concentration of cannabinoids in the cannabis product.

Abstract: Various embodiments provide a so-called companion experience in which content consumed on a primary screen can serve as a source for an automatic search that returns related content that can be presented on an auxiliary screen. The companion experience can be considered to reside in a layer that can be moved across different screens. The different screens can include different physical screens, such as those associated with different computing devices, or the same physical screen in which the companion experience would be rendered in a frame or sub-window.

Abstract: Techniques, which provide visual representations, involve displaying, in a first display area, a plurality of first visual representations indicating a plurality of storage nodes in a storage system, the plurality of storage nodes in the storage system having data replication relations, and the data replication relations including: replication of first data at a first storage node to one or more second storage nodes, and/or replication of second data at one or more second storage nodes to the first storage node. The techniques further involve displaying, in the first display area, a plurality of second visual representations indicating a plurality of data replication relations between the plurality of storage nodes. Accordingly, respective storage nodes in the storage system in a topology view can be visualized, and data replication relations between the respective storage nodes can be clearly described.

Abstract: Systems and methods for searching for hash strings stored in an indexed array are described. A method includes receiving a hash string. The method includes determining a first set of index values for the indexed array that correspond to a first stored value matching a first portion of the hash string and determining a second set of index values for the indexed array that correspond to a second stored value matching a second portion of the hash string if a match between the first stored value and the first portion of the hash string is found. The method includes upon finding a match for the first stored value and the second stored value, comparing the hash string to each of the set of hash strings in the indexed array having an index value common to both the first set of index values and the second set of index values.

Abstract: A system and method for displaying data using temporal granularities. The method includes determining at least one first dataset of a plurality of datasets based on at least one temporal data requirement, wherein the plurality of datasets is generated based on a data model, wherein each of the plurality of datasets is generated based further on a distinct temporal granularity of a plurality of temporal granularities, wherein the distinct temporal granularity of each of the at least one first dataset meets at least one of the at least one temporal data requirement; and querying the determined at least one first dataset in order to obtain at least one query result.

Abstract: A file management method and an apparatus, related to the field of communications technologies, can trigger, on an interface of an application, searching and management of a file displayed on the interface, to improve file management efficiency in a terminal. The method includes: displaying an interface of the first application; storing a target file received through the first application; extracting related information of the target file, where the related information of the target file includes file feature information, and the file feature information includes a name of the target file; searching for a storage path of the target file in storage space of the terminal based on the related information of the target file; and displaying a control used for performing file management on the target file if the storage path of the target file is successfully found.

Abstract: An example computing system includes a database disposed within a remote network management platform associated with a managed network that obtains service from a computing cluster that includes one or more worker nodes configured to execute containerized software applications using a containerized orchestration engine. The computing system also includes a computing device configured to identify a namespace associated with the containerized orchestration engine. The computing device is also configured to query a deployment configuration application programming interface (API) associated with a containerized application platform to obtain deployment configuration data. Further, the computing device is configured to query a build configuration API associated with the containerized application platform to obtain build configuration data.