Abstract: Methods, systems, and devices for data management are described. A first application in a destination computing environment of a data management system (DMS) may determine that a bulk-push criterion is satisfied for a second application in a source computing environment of the DMS. The first application may transmit, to an asynchronous metadata service, a request indicating the second application for which the bulk-push criterion is satisfied. The request may be configured to cause the asynchronous metadata service to query a database in the source computing environment, identify a latest version of one or more rows that include metadata associated with the second application, and generate data records indicating the latest version of the one or more rows that include the metadata associated with the second application. The first application may receive the data records via an asynchronous data stream between the first application and the second application.

Abstract: Computer systems and computer-implemented methods for forensically investigating a target dataset including a target file by comparing the target file to a source file are provided. The method includes performing a preliminary matching operation. The preliminary matching operation includes performing at least one of a file size matching operation, in which a target file size is compared to a source file size, and a sub-hash matching operation, in which a target file sub-hash is compared to a source file sub-hash. A sub-hash is a hash value calculated using a subset of data from the file. The method further includes performing a full hash matching operation if the preliminary matching operation identifies a preliminary match. The full hash matching operation includes generating a target file full hash value and comparing the target file full hash value to a source file full hash value.

Abstract: A mechanism is described for facilitating misuse index for explainable artificial intelligence in computing environments, according to one embodiment. A method of embodiments, as described herein, includes mapping training data with inference uses in a machine learning environment, where the training data is used for training a machine learning model. The method may further include detecting, based on one or more policy/parameter thresholds, one or more discrepancies between the training data and the inference uses, classifying the one or more discrepancies as one or more misuses, and creating a misuse index listing the one or more misuses.

Abstract: Data log-base logical block devices are used to control parameter-based versioning at a block-device level. Memory in the block device stores data log indicating data and corresponding metadata, the metadata indicating a particular historical time. The block device may receive a request, such as a remote procedure call (RPC), for data from the logical block device, and identify data included in the data log having metadata that matches or satisfies a historical time parameter included in and extracted from the request.

Abstract: An apparatus comprises a processing device configured to perform a polling operation for at least one data source to obtain information for one or more designated topics of interest and to determine whether the information for a given one of the one or more designated topics of interest obtained during the polling operation comprises changed information. Responsive to determining that the information for the given designated topic of interest obtained during the polling operation comprises changed information, the at least one processing device is configured to generate one or more events comprising the changed information. The at least one processing device is further configured to publish the generated one or more events to one or more event streams, the one or more event streams being subscribed to by one or more data consumers.

Abstract: A device, system and method for reducing bandwidth usage by performing provider object adjustments at an intermediation server based on historical data is provided. A computing device (e.g. an intermediation server): maintains historical provider object data representing differences between provider objects generated by a provider system/systems according to first and second standard types; receives, from a client device, a request for a provider object representing at least one item provided by a provider system; retrieves, from one or more memories, the provider object generated according to the first standard type; adjusts, the provider object, generated according to the first standard type, based on the historical provider object data, such that the adjusted provider object, includes estimates of information provided by the provider system when the provider system generates the provider objects according to the second standard type; and provides, to the client device, the adjusted provider object.

Abstract: A method for data storage includes specifying a plurality of File Systems (FSs) for use by multiple clients, including assigning to the FSs both respective global identifiers and respective client-specific names. The plurality of FSs is managed using the global identifiers, and files are stored for the clients in the FSs using the client-specific names.

Abstract: A data storage system for use with a multi-threaded processing system receives concurrent requests to store data to a common data store, and efficiently and securely swaps an active data store for a new data store while avoiding conflicts arising from multiple threads attempting to swap a same data store and minimizing reliance on operations that re-attempt actions upon failure of an attempted action, thereby improving performance of the data storage system and also the multi-threaded processing system.

Abstract: Various systems and methods are described herein for an improved spreadsheet application that allows a user to generate, manipulate, and replicate data visualizations (e.g., sparklines, graphs, charts, etc.) using functions without importing data into cells of the application. For example, data is stored in one or more remote or local data stores accessible to the improved spreadsheet application. A user enters a function into a cell of the improved spreadsheet application. The improved spreadsheet application generates a query using the function, the query identifying a portion of a dataset to retrieve from the data store(s). The improved spreadsheet application then transmits the query to the data store(s) and retrieves the requested data. A renderer of the improved spreadsheet application then renders a sparkline using the retrieved data. The improved spreadsheet application displays the rendered sparkline in the cell in which the function was entered, or at another designated location.

Abstract: Disclosed is a method, system, and non-transitory computer-readable record medium for providing a multi-model through federated learning using personalization. The method includes classifying users into a plurality of groups; and generating a prediction model for a service as a multi-model through federated learning for each of the plurality of groups.

Abstract: A search engine to index web content with user content. A server computer receives, from a first client computer operated by a first user, an identification of first web content displayed by a web browser of the first client computer in a main browser window. The identification of the first web content is transmitted by the first user to the server computer via a user interface separate from the main browser window. The server computer then indexes the first web content. In response to receiving a search query from a web browser of a second client computer operated by a second user, the server computer transmits search results to the web browser of the second client computer. The search results include the first web content identified by the first user in a position relative to identifications of other web content received from other users.

Abstract: Example implementations relate to metadata operations in a storage system. An example includes a machine-readable medium storing instructions that upon execution cause a processor to: receive a data stream to be stored in persistent storage of a deduplication storage system; store data units of the data stream in a container entity group object according to arrival time, where the data units of the container entity group object are referenced by a plurality of container indexes; generate a data index to list each container index that references at least one data unit included in the container entity group object; and in response to a determination that the total size of the container entity group object exceeds the threshold size, transfer the container entity group object from memory to the persistent storage.

Abstract: Techniques are provided for accessing derivative properties from a database utilizing a logical schema instruction that includes a base object identifier. A logical schema instruction may be received and analyzed to identify a predefined keyword. A portion of the logical schema instruction, that is located in relation to the predefined keyword, may be identified. The portion may include a base object identifier and a property identifier, e.g., a derivative property identifier. In an embodiment, the identified portion of the logical instruction is not translated to a database schema instruction at prepare time. Instead, an extract function is executed at runtime access and analyze a database table that corresponds to a base object associated with the base class identifier. A property in the database table that corresponds to the property identifier may be identified. Advantageously, a base object identifier may be utilized to access a derivative property.

Abstract: A data storage transformation system includes a data storage management device that is coupled to a data provisioning device and a storage system. The data storage management device receives first format data that includes a first data format from the data provisioning device, and predicts at least one processing operation that will be performed on the first format data. The data storage management device then determines a second data format for performing the at least one processing operation, and transforms the first format data to second format data that includes the second data format. The data storage management device then transmits the second format data for storage in the storage system.

Abstract: Embodiments are directed towards real time display of event records and extracted values based on at least one extraction rule, such as a regular expression. A user interface may be employed to enable a user to have an extraction rule automatically generate and/or to manually enter an extraction rule. The user may be enabled to manually edit a previously provided extraction rule, which may result in real time display of updated extracted values. The extraction rule may be utilized to extract values from each of a plurality of records, including event records of unstructured machine data. Statistics may be determined for each unique extracted value, and may be displayed to the user in real time. The user interface may also enable the user to select at least one unique extracted value to display those event records that include an extracted value that matches the selected value.

Abstract: Methods and systems for capturing and processing audio data of a vehicle engine. In one aspect, a vehicle audio capture system includes a mobile device configured to capture vehicle engine sounds in an audio file and to associate tags identifying one or more vehicle conditions observed during audio capture and reflected in the audio file, and a server configured to process the audio file and expose an application programming interface (API) to provide access to the audio file to one or more data consumer devices. In some instances, a condition report server is configured to access the application programming interface to retrieve a version of the audio file and include data describing the audio file within a vehicle condition report. Additionally, tags may be added to the audio file based on detected engine conditions. Detection of engine conditions may be based on use of trained models.

Abstract: A method of extracting a table information, an electronic device, and a storage medium are provided, which relate to fields of artificial intelligence and big data, in particular to fields of machine learning, knowledge graph, intelligent search and intelligent recommendation, and may be used for an intelligent extraction of an information in a table and other scenarios. The method includes: performing a clustering based on features of a plurality of rows of cells and/or features of a plurality of columns of cells in a table, so as to determine candidate header cells in the table; and performing an information extraction on the table based on the candidate header cells, so as to extract attribute-attribute value pairs in the table.

Abstract: A method of inferring user intent in search input in a conversational interaction system is disclosed. A method of inferring user intent in a search input includes providing a user preference signature that describes preferences of the user, receiving search input from the user intended by the user to identify at least one desired item, and determining that a portion of the search input contains an ambiguous identifier. The ambiguous identifier is intended by the user to identify, at least in part, a desired item. The method further includes inferring a meaning for the ambiguous identifier based on matching portions of the search input to the preferences of the user described by the user preference signature and selecting items from a set of content items based on comparing the search input and the inferred meaning of the ambiguous identifier with metadata associated with the content items.

Abstract: In a method for AI model optimization, an optimization device receives an original AI model and search configuration information that comprises a plurality of search items each indicating its search categories for performing optimization information search on the original AI model. The device obtains a plurality of search operators corresponding to the plurality of search items, and arranges the search operators in an operation sequence based on the search configuration information. The device then executes the search operators in the arranged operation sequence on the original AI model to obtain an optimized AI model. In the execution of the operation sequence, each search operator, except for the first search operator in the operation sequence, is executed utilizing operation results of a preceding search operator in the operation sequence, the operation results including generated network structures and search space information.

Abstract: An audio file associated with a user voice query may be received at a user device. The audio file may be compared to a plurality of references, such as cache entries, corresponding to a plurality of other voice queries. Based on a determination that the voice query corresponds to one of the references, an operation associated with the voice query may be executed. An indication may be received that the operation was not an intended operation associated with the voice query. Based on receiving this indication, the incorrectly identified operation, associated reference, e.g., voice query, may be disabled for the user or the device. However, the cache entry may remain enabled for one or more of a plurality of other devices.