Abstract: Various methods, apparatuses/systems, and media for automatically generating and/or updating corporate action swift (society for worldwide interbank financial telecommunication) messages are provided. A processor accesses a database that stores a plurality of static data sheets each including different type of static data; accesses a plurality of corporate action swift generator sheets each configured to link to the plurality of static data sheets from the database and generate a certain type of swift in an MT56x family of swift; implements a template that is linked to the plurality of corporate action swift generator sheets to access a desired static data sheet; automatically generates a corporate action MT56x family of swift message based on the template and the desired static data sheet; and automatically creates an MT56x swift file as output for the generated corporate action MT56x family of swift message in either a text file format or an excel file format.

Abstract: Intelligent management of stub files in hierarchical storage is provided by: in response to identifying a file to migrate from a file system to offline storage, providing metadata for the file to a machine learning engine; receiving a stub profile for the file from the machine learning engine that indicates an offset from a beginning of the file and a length from the offset for previewing the file; and migrating the portion of the file from the file system to an offline storage based on the stub profile. In some embodiments this further comprises: monitoring file system operations; in response to detecting a read operation of the portion of the file: determining a file type; providing file data to the machine learning engine; and performing a supervised learning operation based on the file type and the file data to update the machine learning engine.

Abstract: In various implementations, search results corresponding to a search query are obtained. A data visualization is generated from the search results. The generated data visualization is pushed to a registered display of a display device, where the pushing causes presentation of the generated data visualization on the registered display. An alert configuration interface may be caused to be presented on a display management device. From the displayed alert configuration interface, user input indicating an assignment of a set of trigger conditions to a display alert may be received. The display alert can be pushed to the registered display based on determining the set of trigger conditions is satisfied. The pushed display alert may be presented over the data visualization on the registered display.

Abstract: According to an embodiment, a system can comprise a processor and a memory that can store executable instructions that, when executed by the processor of a first device, can facilitate performance of operations. The operations can comprise receiving, from a second device, a first indication of an operation that was performed on a file stored on the second storage device, and storing an indication of the operation in a data structure, resulting in the data structure storing the first indication and other indications of operations performed on the file. Further, the operations can comprise analyzing indications of operations, comprising the first indication and the second indications, performed on the file stored in the data structure. The operations can further comprise communicating, to the second device, a command to move the file to a third device.

Abstract: The present disclosure describes systems and methods for processing schemas to generate set representations thereof. Schema set representations can be used to generate schema coverage notifications. Set operations can be performed on schemas to compare schemas and identify whether any support changes have been made thereto.

Abstract: Systems and methods are provided for a content aggregation system for intelligent searching of indexed content based on extracted security identifiers. An example method includes obtaining content items from content providers based on authorization information associated with one or more users. Collectors are configured to transform content items into articles representing a normalized form associated with a content item. The method includes obtaining a plurality of articles and storing them in one or more databases. The method includes assigning security identifiers to the articles. A security identifier represents an abstraction of a discrete access right or permission associated with user access to an article. The method includes generating respective indexing messages for execution. The indexing messages are included in a queue and each indexing message includes a reference to an article.

Abstract: Methods and systems are disclosed for processing policies. A query policy tree with expressions and combination rules is received. A second policy tree stored in a policy repository is searched to select a sub-policy in a neutral format, reflecting a structure with a combination rule and a leaf with a condition expression. A depth of the structure is reduced through removal of redundant combination rules and combinable leaf expressions. The sub-policy tree is selected from the second stored policy tree by comparing the query policy tree. The selected sub-policy tree is copied to a third policy tree. Leaves of the third policy tree are evaluated against the leaves of the query policy. The nodes of the third policy are joined against the node of the query policy. The third policy is reduced to the neutral format by combining evaluated leaves and removing redundant combination rules. Finally, a response is provided.

Abstract: Systems and methods are described for training an artificial intelligence model to extract one or more data fields from a log. For example, the artificial intelligence model may be a neural network. The neural network may be trained using training data obtained by iterating through a plurality of logs using active learning, and selecting a subset of the logs in the plurality to be labeled by a user. For example, the selected subset of logs may be logs that are not similar to other logs already labeled by a user. The user may be prompted to label the selected subset of logs to identify one or more data fields to extract. Once the selected subset of logs are labeled, these labeled logs can be used as the training data to train the neural network.

Abstract: A tree structure represents a terrain area as nested polygons organized in a parent-child relationship, each polygon associated to a specific geographic location. The tree structure defines at least one parent node and a plurality of child nodes, some being leaf nodes containing a height value. A processor uses a distance measure to change the tree structure topology assessing whether all leaf node children of a first parent node lie outside a predetermined distance from an aircraft runway, and if so, converting the first parent node into a leaf node by storing in the first parent node a height value representing the greatest of the respective height values of the leaf node children and by removing the leaf node children; and iteratively repeating for each remaining parent node until it has been determined that every remaining parent node in the data structure cannot be pruned without violating accuracy requirements.

Abstract: Systems and methods include obtaining statistics based on monitoring in a cloud-based system for a given time period; and, responsive to determining an arrangement of counters for N counters, storing each of M counters for the given time period as a plurality of records with each record including a record type, a possible offset to a next record in terms of a counter identifier (ID), and a counter value, wherein N and M are integers and M<<N, and wherein the arrangement is determined such that most frequently used counters occupy lower counter IDs. The systems and methods can further include updating the arrangement of the counters for the N counters, to perform an optimization such that the most frequently used counters occupy lower counter IDs.

Abstract: In an embodiment a method is provided. The method includes receiving forecast information in a computer from a first group of users. The method also includes integrating the forecast information into a database and corresponding OLAP cube accessible by the computer. The method further includes receiving comments on specific entries of the forecast information in the computer from a second group of users. The method also includes receiving changes of the forecast information in the computer from a second group of users The method further includes integrating comments and changes into the database and OLAP cube. Moreover, the method includes providing a display of the comments and the changes to the first group of users in an interface to the computer.

Abstract: Provided is a method and system for normalizing catalog item data to create higher quality search results. In one example, the method may include receiving a record comprising an unstructured description of an object, identifying a type of the object from among a plurality of object types and identifying a predefined attribute of the identified type of object, extracting a value from the unstructured description corresponding to the predefined attribute and modifying the extracted value to generate a normalized attribute value, and storing a structured record of the object in a structured format comprising a plurality of values of a plurality of attributes of the object from the unstructured description including the normalized attribute value for the predefined attribute of the object.

Abstract: Providing a crowdsourced refinement of a response to a network query can include detecting an insufficient answer to a query posed by a user seeking information from a plurality of networked sources communicatively coupled with an electronic communications network. Demographic data corresponding to the user can be determined and a search initiated. The search is for a crowdsourced response to the query posed by the user. The search can be conducted over the electronic communications network and can be based on the demographic data corresponding to the user.

Abstract: A database system may include a machine learning model which may be used to perform various data analytics for data stored in the database system. In response to a request to invoke the machine learning model to generate a prediction from data stored in the database system, the database system may perform one or more optimization operations, as part of a query plan, to prepare the data to make it suitable for use by the machine learning model.

Abstract: In some examples, before saving a file, a device analyzes contents (e.g., text and images) of the file to create a bag of words. The device performs Latent Dirichlet Allocation of the bag of words to determine topics included in the file and orders the topics in descending order of frequency. The device generates a particular name of the file based on the ordered topics and automatically save (or suggest saving) the file with the particular name. The device determines, based on the ordered topics, a folder name of a folder in which to store the file. If an existing folder has the folder name, then the device saves the file in the existing folder. If not, then the device creates a new folder with the folder name and saves the file in the new folder.

Abstract: A method for storage management of an object among a plurality of storage devices of a datacenter is provided. The method, in response to receiving an input on a selection item presented through a UI, determines that a manual storage management of an object is selected. The method then receives a storage policy for storing the object. Based on the storage policy, the method defines a plurality of components for the object and determines whether a set of one or more storage resources is available for storing the plurality of components. When the method determines that the set is available, for each component, the method presents the set of storage resources, receives a selection of a storage resource in the set to store the component, and updates the set based on the policy and the selection before presenting the updated set to select from for storing a next component.

Abstract: The present disclosure provides a connected car big data acquisition device, and connected car big data collecting system and method using the device. A connected car big data acquisition device includes: an interface configured to communicate with a device associated with a data production layer and a device associated with a service using layer; a storage configured to store data; and a controller configured to generate preprocessed data based on raw data related to connected cars received from a device associated with a data production layer through a preprocessing process using an integrated platform and to control the preprocessed data to be stored in the storage based on a memory availability ratio of the storage.

Abstract: An apparatus, method and system facilitate efficient creation of virtual places and provide tools for using the virtual places. The virtual places include a virtual real estate listing, newsworthy place and a virtual box seat. Tools are provided including an automatic declutter tool and a staging tool.

Abstract: Aspects of the present disclosure provide for operations of a key-value tree data structure that merges key-value pair data of a node, in a key-value tree data structure using counter values.

Abstract: A computer-implemented method for completing queries propagated across a plurality of datasources that may include receiving a search query comprising a search string via an application user interface. Identity information regarding an end user associated with the search query may also be received. At least one role of the end user may be automatically determined and authorization metadata corresponding to the at least one role may be automatically appended to the search query. A plurality of adapters corresponding to the datasources may be invoked and the appended search query may be passed to the adapters. The appended search query may be translated by the adapters into a plurality of translated search queries according to the syntax and format configurations of the datasources. The translated search queries may be automatically submitted to the corresponding datasources. Responsive results may be automatically received and presented at an end user computing device.