Abstract: The technology disclosed can query configuration management system data and includes cross table selection criteria and joined data return.

Abstract: A user interface to dynamically update the display of work steps and/or work plans for work orders are described. A database system receives a request from a user interface to output a work order, and then identifies a work plan for the work order. The database system causes a user interface to output display fields for the work order and the work plan. The database system receives a request from a user of the database system to add an additional work plan and/or an additional work step, and then causes the user interface to dynamically update the output of the display fields for the work order and the work plan by adding an additional output of the at least one display field for the additional work plan and/or the additional work step.

Abstract: Creating work order plans and steps based on mapped fields is described. A database system receives an input associated with a work order, and then identifies a work plan template object, a work plan instance object, a work step template object, and a work step instance object associated with the work order. The database system identifies work plan fields which are mapped from the work plan template object to the work plan instance object, and work step fields which are mapped from the work step template object to the work step instance object. The database system creates at least one work plan which includes the mapped work plan fields in the work plan instance object and work steps which include the mapped work step fields in the work step instance object. The database system outputs the work order which includes the at least one work plan.

Abstract: A system for conducting user interface (UI) software component testing has been developed. The test of the UI software component is initiated and a display of the test results are shown to a user in a browser used in the testing. A code editor used for debugging by the user receives the test results from the browser and presents the test results to the user for debugging. The browser webview and the code editor are simultaneously displayed to the user in a dual screencast window during the UI software testing.

Abstract: Techniques are disclosed relating to merge operations for multi-level data structures, such as log-structured merge-trees (LSM trees). A computer system may store, in a database, a plurality of files as part of an LSM tree and a plurality of database key structures. A given one of the plurality of database key structures may indicate, for a corresponding one of the plurality of files, a set of key ranges derived from database records that are included in the corresponding file. The computer system may determine, using ones of the plurality of database key structures, a key range overlap that is indicative of an extent of overlap of key ranges from a set of the plurality of files with respect to a particular key range. Based on the determined key range overlap, the computer system may assign a priority level to a merge operation that involves the set of files.

Abstract: An embodiment proposed herein uses sparsification techniques to train the neural network with a high feature dimension that may yield desirable in-domain detection accuracy but may prune away dimensions in the output that are less important. Specifically, a sparsification vector is generated based on Gaussian distribution (or other probabilistic distribution) and is used to multiply with the higher dimension output to reduce the number of feature dimensions. The pruned output may be then used for the neural network to learn the sparsification vector. In this way, out-of-distribution detection accuracy can be improved.

Abstract: Techniques are disclosed relating to performing database defragmentation operations by autonomously rebuilding index objects stored in one or more tablespaces of a database. In various embodiments, the disclosed techniques include autonomously performing defragmentation operations for one or more tablespaces in a database in an online manner such that a server system may continue to service data access requests while performing the defragmentation operations. In one non-limiting embodiment, for example, the disclosed techniques include selecting a first tablespace to defragment based on its level of fragmentation (e.g., relative to the other tablespaces). The server system may then rebuild index objects, from the first tablespace, to a new tablespace such that the index objects are stored in the new tablespace without fragmentation.

Abstract: Described herein are means for conducting transactions between bots using Distributed Ledger Technology (DLT) in a cloud based computing environment.

Abstract: A cloud-based computing system is provided that includes a payments platform for integrating synchronous payment gateway services with a cloud computing platform so that clients of the cloud computing platform can perform payment transactions with customers via the cloud computing platform. The synchronous payment gateways that include a particular synchronous payment gateway. The cloud computing platform can include a multitenant database system that provides applications and services to a plurality of clients, and a payments platform module. Each client can be, for example, a tenant or organization of the cloud computing platform that transacts business with one or more customers via a synchronous payment gateway. The payments platform module has a pluggable architecture for integrating payment gateway adapters with the cloud computing platform.

Abstract: A method enables data aggregation in a multi-tenant system. The method includes receiving, at a data aggregation manager, an event from an activity tracking component, generating, by the data aggregation manager, a first hash value based on a first identifier in the event, generating, by the data aggregation manager, a second hash value based on a second identifier in the event, and storing event message information to an entry of a metric storage database in a partition according the first hash value and the second hash value.

Abstract: Described herein are systems, apparatus, methods and computer program products for implementing a self executing and self disposing signal for an imperative programming language. The self executing and self disposing signal may be utilized by a ReactiveX specification programming language. The signal may be executed before it is observed by an external observer, reducing load times. Additionally, the signal may allow for multiple observers to observe the output of the signal at the same time and may be self disposing to prevent memory leaks.

Abstract: Techniques are disclosed relating to generating a user interface (UI) migration plan, including intermediate UIs, for migrating from a current UI to a new UI. A computer system may receive information specifying a current UI and a new UI, and identify one or more differences between the current and the new UIs. Based on the differences, the computer system may generate information specifying one or more candidate intermediate UIs. The computer system may score the candidate intermediate UIs relative to a specified set of design criteria. The computer system may determine a UI migration plan that specifies a set of the one or more candidate intermediate UIs that are displayable in order to migrate from the current UI to the new UI, where the set of one or more intermediate UIs is selected based on the scoring. Use of the UI migration plan may advantageously reduce user interaction issues.

Abstract: Approaches for the translation of structured text include an embedding module for encoding and embedding source text in a first language, an encoder for encoding output of the embedding module, a decoder for iteratively decoding output of the encoder based on generated tokens in translated text from previous iterations, a beam module for constraining output of the decoder with respect to possible embedded tags to include in the translated text for a current iteration using a beam search, and a layer for selecting a token to be included in the translated text for the current iteration. The translated text is in a second language different from the first language. In some embodiments, the approach further includes scoring and pointer modules for selecting the token based on the output of the beam module or copied from the source text or reference text from a training pair best matching the source text.

Abstract: Artificial intelligence (AI) oversight may be added to a multiparty engagement, such as a conference between devices having user interfaces. The AI may apply visual indicators, e.g., informational elements, recommendations, or other data, on one or more user interface. Visual indicators assist with presenting or participating in a conference. Visual indicators may highlight, e.g., AI-determined attributes of participants in the conference. Attributes may be derived physiological characteristics of participants, such as mood, apparent interest, paying attention, as well as AI-derived data from analyzing data sources, such as data about the participant, past engagements, time zone, name/title and other information to facilitate interaction with the participant. The AI may also review data for past deals, resume, project plans, social media, customer relationship manager data, and the like and develop models to allow it to monitor a conference and provide recommendations to facilitate conference goals.

Abstract: Disclosed embodiments are a computing system and a computer-implemented method related to minimizing the number of rules/policies needed to be stored to enforce those rules/policies. The minimizing comprising generating adjacency data structures mapping as adjacent pairs of network nodes, which are allowed to communicate with one another according to the plurality rules, and applying them for pruning the rule dataset. This allows an original set of rules/policies to be reduced into a smaller set, which conserves computational resources.

Abstract: Example implementations relate to performing automated hierarchical configuration tuning for a multi-layer service. According to an example, a service definition and optimization criteria are received for tuning a configuration of a service. The service definition includes information regarding multiple of layers of the service and corresponding configuration groups. An acyclic dependency graph is created including nodes representing each of the of layers and each of the corresponding configuration groups.

Abstract: A method of per subscription event filtering is provided for an event recordation and distribution system. The method includes receiving an event from the event recordation and distribution system, determining that an event consumer that is a subscriber of an event stream of the event has specified filter logic for the event stream, and forwarding the event to an event consumer in response to the event meeting requirements of the specified filter logic.

Abstract: Techniques are disclosed relating to providing and using probabilistic data structures to at least reduce requests between database nodes. In various embodiments, a first database node processes a database transaction that involves writing a set of database records to an in-memory cache of the first database node. As part of processing the database transaction, the first database node may insert, in a set of probabilistic data structures, a set of database keys that correspond to the set of database records. The first database node may send, to a second database node, the set of probabilistic data structures to enable the second database node to determine whether to request, from the first database node, a database record associated with a database key.

Abstract: Machine learning systems and associated methods are provided. A processor comprising at least one neural network can process a captured input image to translate the captured input image into an interactive demonstration presentation for an envisioned software product. The processing can include: automatically recognizing features within the captured input image; extracting the recognized features from the captured input image at the machine learning processor; processing each of the extracted features to determine a corresponding element in a library trained via a machine learning algorithm; and automatically replacing the extracted features from the captured input image with the one or more corresponding files or components to transform the captured input image into the interactive demonstration presentation.

Abstract: Techniques and mechanisms for ingesting data through an atomic transaction are disclosed. Raw data is received from multiple disparate sources to be consumed in an environment that does not support atomic write operations to data consumers. The environment has at least a data table and a notification table. A write to an entry in the data table having an associated version is attempted. The data table entry corresponds to the data to be consumed. A write to a corresponding entry to the notification table is attempted in response to a successful write attempt to the data table. The notification table entry includes information about the corresponding data table entry. The version associated with the data table is modified in response to successful writes of both the data table entry and the notification table entry. At least one data consumer is notified that the data table version has been modified.