Abstract: Disclosed herein are system, apparatus, method, and computer program product embodiments for securing inter-network communications. An embodiment operates by generating a task request to be performed in a first network environment. The embodiment further operates by transmitting the task request to an application located in a second network environment. The embodiment further operates by receiving a task package from the application. The embodiment further operates by determining whether the task package includes a positive task value and, if so, calling a task in the first network environment based on the task package. The embodiment further operates by generating a creation status associated with an execution of the task in the first environment and transmitting the creation status to the application. Subsequently, the embodiment further operates by generating a final status associated with the execution of the task and transmitting the final status to the application.

Abstract: Disclosed herein are system, method, and computer program product embodiments for providing index and storage management for multi-tiered databases. An embodiment operates by receiving a request to create an index on a multi-tiered database including both an in-memory store and a disk store. A multi-store table associated with the index is determined, wherein the multi-store table includes both a first set of data stored on the memory store and a second set of data stored on the disk store. Either the first set of data or the second set of data on which to create the index is selected based on the request. The index for the selected set of data of the multi-store table is generated. The index is stored on either the disk store or the memory store as corresponding to the selected set of data for which the index was generated.

Abstract: Techniques and solutions are described for restricting data that is provided to a machine learning application. Restrictions can be based on use status information, such as use status information associated with a retention manager and indicating whether data is blocked from use. Data identifiers used by a cloud-based system can be correlated with archiving objects of a local system so that the cloud-based system can receive use status information to avoid using blocked data. Restrictions can include restricting data based on whether a data subject has provided consent that allows the data to be used by the machine learning application. A data view can be defined that filters query results to those where consent exits. The data view can join, such as an inner join, a table providing consent information with a data having data subject data.

Abstract: Systems and methods include acquisition of a plurality of text segments, each of the text segments associated with a flag value indicating whether the text segment is associated with a correct replacement text or an incorrect replacement text, determination of one or more n-grams of each text segment of the plurality of text segments, generation, based on the one or more n-grams of each text segment and the flag value associated with each text segment, a model to determine a flag value based on one or more input n-grams, reception of an input text segment, determination of a second one or more n-grams of the input text segment, determination, using the model, of an output flag value based on the determined second one or more n-grams, and presentation of the input text segment and the output flag value on a display.

Abstract: Features are used to train one or more ML models in a modelling layer. In a feature selection layer, each generated ML model is analyzed to determine, for each input feature, a degree of importance of the feature on the results generated by the ML model. Features with low importance are identified and the information is propagated backward to the data source and feature engineering layers. In response, the data source and feature engineering layers refrain from gathering or generating the unimportant features. Based on a confidence measure of the determination that each feature is important or unimportant, a number of periods between reevaluation of the feature importance is determined. After the number of periods has elapsed, a removed feature is restored to the pipeline.

Abstract: A data container for a content package comprising one or more semantics for populating the content package with selected types of information associated with a product or service is received by a computing device of a digital services framework. An organizational structure between and within networked tenants of the digital services framework is analyzed to identify one or more recipients for the content package. A data topology associated with the product or service is analyzed to generate announcements indicative of individualized content packages for the identified recipients for the content package. The announcements are sent to the identified recipients. Requests are received for subscriptions to the content package. Based on the analysis of the organizational structure and data topology and user-defined rules and semantics, instances of the container are selectively populating for tenants who have subscribed to the content package.

Abstract: A computer-implemented method includes feeding exception log entries from a plurality of exception logs associated with respective heterogenous computing components into an aggregated exception log comprising aggregated exception log entries, mapping an aggregated exception log entry in the aggregated exception log to a corresponding exception identifier, identifying a descriptor describing an exception condition based on the exception identifier, determining one or more destinations corresponding to the aggregated exception log entry, and routing a notification comprising the descriptor to the one or more destinations.

Abstract: Some embodiments provide a program. The program receives from a client device a request for objects in a collection of objects and a set of keywords. Based on the set of keywords, the program further determines a set of categories used for categorizing objects in the collection of objects. The program also generates a search query based on the set of keywords and the set of categories. The search query is configured to identify objects in the collection of objects having a description or name that matches at least one keyword in the set keywords and modify relevance of identified objects based on the set of categories. The program further executes the search query on the collection of objects to generate a result set of objects. The program also provides the result set of objects to the client device.

Abstract: The present disclosure describes methods, systems, and computer program products for data-centric integration modeling in an application integration system. One computer-implemented method includes receiving, by operation of an integration system, a logic integration program comprising a plurality of logic integration patterns that are defined in a data-centric logic integration language; generating a logical model graph based on the logic integration program, the logical model graph being runtime-independent; converting the logical model graph into a physical model graph, the physical model graph being runtime-specific; and generating logic integration runtime codes executable by the integration system based on the physical model graph.

Abstract: According to some embodiments, a system and method are provided comprising two or more components; a cross-feature toggle module; a cross-feature toggle processor in communication with the cross-feature toggle module and operative to execute processor-executable process steps to cause the system to: receive a request to execute an application; determine a new feature element is present; determine a cross-feature toggle is present, wherein the feature toggle includes an active state and an inactive state; determine whether the cross-feature toggle is in an active state for each of a respective two or more components; in a case the cross-feature toggle is in the active state for each of the two or more components, execute the application with the new feature element; and in a case the cross-feature toggle is in the active state for less than all of the two or more components, execute the application without the new feature element. Numerous other aspects are provided.

Abstract: Technologies are described for performing adaptive high-resolution digital image processing using neural networks. For example, a number of different regions can be defined representing portions of a digital image. One of the regions covers the entire digital image at a reduced resolution. The other regions cover less than the entire digital image at resolutions higher than the region covering the entire digital image. Neural networks are then used to process each of the regions. The neural networks share information using prolongation and restriction operations. Prolongation operations propagate activations from a neural network operating on a lower resolution region to context zones of a neural network operating on a higher resolution region. Restriction operations propagate activations from the neural network operating on the higher resolution region back to the neural network operating on the lower resolution region.

Abstract: Systems and methods include creation of a first target table in a target system, the first target table having a structure of a first source table and loaded with data of the first source table, creation of a view in the target system, the view having a name of the first source table and configured to select from the first target table, reception of a request to reload a current version of the first source table into the target system, and, in response to the request, creation of a second target table in the target system, the second target table having a structure of the current version of the first source table, copying of data of the current version of the first source table to the second target table while the view is configured to select from the first target table, and, after copying of the data of the current version of the first source table to the second target table is complete, modification of the view to select from the second target table.

Abstract: Disclosed herein are computer-implemented methods, computer-implemented systems, and non-transitory, computer-readable media for use of shared collaborative electronic events. A connection to a user calendar service is established by a shared calendar service. At least two electronic calendar events are received from the user calendar service. A determination is made for each received event whether a shared meeting object corresponding to the event exists in a shared meeting object store. If NO, a shared meeting object is created in the shared meeting object store for the electronic calendar event, meeting participants are determined for the electronic calendar event, and access to the shared meeting object is provided to each determined meeting participant. Providing access to the shared meeting object includes enabling each participant to add shared content to the shared meeting object and view shared content added by other participants.

Abstract: A system includes definition of a remote data source, definition of a virtual function specifying executable job code, a return data format and a data location in the remote data source, reception of a structured language query including the virtual function as a data source, and, in response to the received query, instruction of the remote data source to execute the job code based on data in the data location and return data in the return data format.

Abstract: Techniques and solutions are described for partitioning data among different types of computer-readable storage media, such as between RAM and disk-based storage. A measured workload can be used to estimate data access for one or more possible partition arrangements. The partitions arrangements can be automatically enumerated. Scores for the partition arrangements can be calculated, where a score can indicate how efficiently a partition arrangement places frequently accessed data into storage specified for frequently-accessed data and placed infrequently accessed data into storage specified for infrequently accessed data.

Abstract: A metastructure for representing and manipulating or analyzing a data model is provided herein. A source representation of the first data model may be received. The source representation may include a representation of one or more structural components of the first data model, respectively having identifiers and types. One or more instances of a metastructure schema object datatype may be generated based on the one or more structural components of the source representation. Generating a given instance of the metastructure schema object datatype for a given structural component may include assigning a first identifier of the given structural component to the first data member of the given instance, determining a first type associated with the given structural component, and assigning the first type to the second data member of the given instance. The one or more instances of the metastructure schema object datatype may be stored in association.

Abstract: A code base is parsed to identify methods having changes in a code base since a last code commit. Thereafter, a call graph is traversed to identify test cases implicated by the identified methods having changes in the code base. The call graph can be a directed call graph comprising a plurality of connected nodes in which a first subset of the connected nodes are method nodes representing each method in the code base in which unidirectional edges connecting method nodes correspond to invocations by a calling method to a callee method, and in which a second subset of the connected nodes are test case nodes representing each of a plurality of available test cases to test the code base. The test case nodes are each coupled to one or more method nodes by unidirectional edges that correspond to the test case coverage of the method.

Abstract: In some embodiments, there is provided a system. The system may include at least one data processor and at least one memory storing instructions which, when executed by the at least one data processor, cause the apparatus to at least: determine, for a received document including at least one item, that the received document likely includes at least one missing item, the determination based on at least a machine learning model and the at least one item; and provide an indication of the at least one missing item. Related systems and articles of manufacture are also provided.

Abstract: In some aspects, there is provided a method that may include: intercepting a query requiring access to data stored in a table. The query may include an identifier, which may be associated with a row of the table and a reference to a column of the table. The method may further include preparing a table object to enable access to the data stored in the row and the column of the table. The preparing may include locating the row associated with the identifier. The preparing may further include acquiring locks for the data stored in the located row and the column in the row. The method may also include executing the query upon preparing the table object. Related systems, methods, and articles of manufacture are also described.

Abstract: Techniques for implementing an improved user interface for efficiently browsing through and comparing digital content items are disclosed. In some embodiments, a method comprises: receiving a request for one or more additional graphical widgets indicating at least one of a plurality of graphical widgets selected by a user for concurrent display with the additional graphical widget(s), the request also indicating at least one attribute value for each one of the at least one of the plurality of graphical widgets, with at least one attribute value having been selected by the user for use in determining the additional graphical widget(s). The additional graphical widget(s) may be determined from amongst a plurality of additional graphical widgets based on the attribute value(s) indicated by the request, and then displayed concurrently on the computing device along with the graphical widget(s) selected by the user for concurrent display with the additional graphical widget(s).