Abstract: Systems, methods, and apparatuses for implementing a metadata driven rules engine on blockchain using Distributed Ledger Technology (DLT) in conjunction with a cloud based computing environment are described herein.

Abstract: System and methods are described for parsing log data items to find events in the log data items, wherein an event comprises at least a portion of a log data item matching an event definition; aggregating a plurality of performance metric definitions into a single expression; and generating a plurality of performance metrics from the events by applying the single expression to the events.

Abstract: Systems, methods, and computer-readable media are provided for data catalogs, metadata repositories, data discovery, and data governance, and in particular, for a canonical model-driven active metadata exchange for distributed data catalogues. Disclosed implementations include an application independent metadata repository with a Canonical Data Model (CDM). The CDM maintains a single set of use case agnostic mappings between data sources and the CDM. The physical mappings of a particular entity in the CDM are used to determine the different applications that are mapped to it and what objects or data structures that are exposed by that particular data source. Other embodiments may be described and/or claimed.

Abstract: Approaches to zero-shot learning include partitioning training data into first and second sets according to classes assigned to the training data, training a prediction module based on the first set to predict a cluster center based on a class label, training a correction module based on the second set and each of the class labels in the first set to generate a correction to a cluster center predicted by the prediction module, presenting a new class label for a new class to the prediction module to predict a new cluster center, presenting the new class label, the predicted new cluster center, and each of the class labels in the first set to the correction module to generate a correction for the predicted new cluster center, augmenting a classifier based on the corrected cluster center for the new class, and classifying input data into the new class using the classifier.

Abstract: Techniques are disclosed relating to managing distributed storage of data for various entities according to classifications for these entities. A database node of a distributed storage system may receive, from a first entity of a plurality of entities, a request to store a set of data. The database node may further obtain metadata associated with the first entity, wherein the metadata specifies one of a plurality of classifications for the entities. The database node may provide the set of data to one or more of a plurality of caches for storage. The caches may be located in two or more availability zones and are configured to store the set of data based on the classification for the first entity identified in the metadata associated with the first entity. The database node may also store the set of data in a shared object storage coupled to the database node.

Abstract: Techniques and structures to provide secure data transfer between entities in a multi-user on-demand computing environment. An electronic device may comprise at least one physical memory device, one or more processors coupled with the at least one physical memory device, the one or more processors configurable to create a scratch destination organization within the computing environment, receive, via a user interface, a metadata selection comprising a plurality of metadata resources, extract the plurality of metadata resources from an origin organization within the computing environment into a metadata bundle, and deploy the metadata bundle in the scratch organization. Additional subject matter may be described and claimed.

Abstract: Techniques and structures to provide secure data transfer between entities in a multi-user on-demand computing environment. An electronic device may comprise at least one physical memory device, one or more processors coupled with the at least one physical memory device, the one or more processors configurable to create a scratch organization within the computing environment, receive, via a user interface, a metadata selection comprising a plurality of metadata resources which define a set of components for a service implemented in an origin organization of the multi-user, on demand computing environment, extract the plurality of metadata resources from the origin organization within the computing environment into a metadata bundle, and deploy the metadata bundle in the scratch organization. Additional subject matter may be described and claimed.

Abstract: Methods, systems, and devices for providing matching security between data stores are described. In a database system, an operational data store may store transactional datasets and an analytical data store may store analytics datasets generated based on the transactional datasets. For these analytics datasets to efficiently inherit the security configurations of the transactional datasets, security information may be embedded in datasets retrieved from the operational data store during a data acquisition procedure. This security information may be converted into an embedded multiple-value field for storage in the analytical data store. The analytical data store may receive a query for data in a dataset, and may determine security descriptors associated with the user sending the query. The analytical data store may then filter the data based on comparing these determined security descriptors with the security information in the multiple-value field, and may transmit a query response with the filtered data.

Abstract: Embodiments of apparatus, systems, and methods are described for creating, arranging, and displaying data mappings between two different data schemas in a graphical user interface (GUI). The GUI allows scaling of a data schema, automatic data sorting and grouping of objects in a schema, dynamic spacing of data mappings in the GUI, and customizable data map transformations to entities of a canonical data model. The GUI can limit the display of objects and fields to those that have been mapped into entity groups. The GUI can display mapped or unmapped fields to facilitate the mapping of additional fields or objects. The GUI displays visual logic connectors between objects and entities to summarize the relationship and number of mappings between the objects and entities. Objects and entities can be expanded and collapsed to show more granular relationship information. Instance-enabled canonical entities can be created to conceptually group fields.

Abstract: In accordance with embodiments, there are provided mechanisms and methods for managing business deals. The mechanisms and methods for managing business deals may enable embodiments to provide a dynamic and interactive user-interface including any combination of contacts, accounts, opportunities, allowing users to create tasks, events, leads (e.g., from Data.com), reports, dashboards, instant messenger, external deal spaces, email service (e.g., Outlook), a cloud-based productivity suite for businesses that allows work on any device (e.g., Google apps), mobile access, private messaging, lead management, mass email templates, social media monitoring (e.g., from Radian6), role-based sharing and security, and/or additional storage, for example. In an embodiment, the number of contacts may be unlimited.

Abstract: A hierarchical neural network for predicting out of stock products comprises an input layer that receives data from data sources that store disparate datasets having different levels of attribute detail pertaining to products for sale in stores of a retailer. A first level of neural networks processes the data from the data sources into respective learned intermediate vector representations. A second level comprises a concatenate layer that concatenates the learned intermediate vector representations from the second level into a combined vector representation. A third level comprises a feed forward network that receives the combined vector representation and outputs to the retailer an out of stock probability indicating which store and product combinations are likely to have out of stock products over a predetermined timeframe.

Abstract: Techniques disclosed herein relate to managing notifications to a user associated with a computing device. The notifications correspond to a response to an indication of an exception condition on the computing device. The response to the exception condition includes a plurality of steps, including computer-implemented steps in which data objects output a plurality of notifications for the user. These notifications are processed by a notification choreographer and used to prepare a unified status communication. The unified status communication is output to the user and depicts information corresponding to a plurality of the notifications.

Abstract: Various embodiments of methods for detecting anomalous activity in a computer network are disclosed. A method includes a computer system receiving an indication of a current session establishing a secure channel to a computing device within a network. The computer system evaluates information relating to the current session, as well as information relating to one or more other sessions. Using this information, the computing system performs monitoring to detect the presence of anomalous lateral movement within the network, for example based on detecting multiple user credentials. Based on the evaluating performed, the computer system generates a score for the current session and reports whether the score is indicative of anomalous lateral movement.

Abstract: Disclosed herein are system, method, and computer program product embodiments for generating software artifacts operable across diverse platforms from a single conceptual data model. The conceptual data model may be enhanced with metadata that allows the creation of platform-specific logical data models containing additional metadata that is leveraged to create deployable software artifacts. An organization may subsequently modify the conceptual data model and all relevant software artifacts may be updated and redeployed across all integrated platforms. Such a conceptual data model further facilitates the creation of documentation describing data entities in the organization's technical infrastructure, the creation of mapping files for use by a data exchange system, and the processing of federated queries that gather data from multiple data stores across a data landscape.

Abstract: Disclosed herein are system, method, and computer-readable medium embodiments for providing the ability to automate identification of endpoints of an API for potential health checks based on machine learning and/or similarity search algorithms. The algorithms analyze an API specification according to the algorithm's training and/or search among reference APIs. Rather than having to manually generate health check tests for the web service, a test developer can interact with a test service through a web browser and provide the service an API specification. The test service then can automatically rank identified endpoints according to a ranking system as well as automate health checks by automatically preparing the health check code according to each identified endpoint.

Abstract: Methods, systems, and devices supporting detecting and processing conceptual queries are described. A device (e.g., an application server) may receive a search query from a user device. The search query may include one or more parameters. The device may tag the search query using one or more tags associated with the one or more parameters. In some examples, the one or more tags may be determined based on a neural network. The device may determine that the search query is supported as a conceptual query based on a tag of the one or more tags corresponding to a data object stored in a database. The device may then generate a database query in a query language based on the search query, retrieve a set of results for the search query using the database query in the query language, and transmit the set of results to the user device.

Abstract: A system deploys software artifacts in data centers created in a cloud platform using a cloud platform infrastructure language that is cloud platform independent. The system allows service owners to define shared pipelines that can be invoked by multiple parent pipelines. The system receives an artifact version map associating datacenter entities with services targeted for deployment on the datacenter entities. The artifact version map specifies attributes associated with invocations of the shared pipeline. The system generates deployment pipelines based on the artifact version map. The deployment pipelines allow a parent pipeline that invokes the shared pipeline to specify attributes including version of the shared pipeline, versions of software artifacts used by the shared pipeline, values of parameters used by the shared pipeline, or promotion criteria used by the shared pipeline.

Abstract: Disclosed herein are system, method, and computer program product embodiments for slide grid snapping for presentations slides in a cloud collaboration platform. An embodiment operates by displaying a slide made up of rows and columns of pixels, receiving inputs to select and move an object, interpreting the movement, based on proximity to particular rows and columns, places the object along the particular row and column of pixels, and rendering the resulting slide. By serializing and coordinating design actions using the slide grid, the ease of design and the efficiency of the user experience may be enhanced. The grid system further allows users to comment anywhere in the document, associating those comments with objects or layers, and adjusting or moving the comments in response to grid-based actions.

Abstract: Systems and method are provided for receiving, at a virtualized management operation engine (VMOE) of a distributed system, a management task request from a client for one or more services. The management task request may be to an orchestrator of a first application server of one or more application servers of the distributed system. The first application server having the orchestrator may determine whether the management task request is valid. The first application server having the orchestrator may generate a request message based on the valid management task request. A message bus may broadcast the generated request message to one or more agents of the one or more application servers of the distributed system. The one or more agents may execute an operation based on the request message when the request message is intended for the one or more agents.

Abstract: A GraphQL server stores schemas for GraphQL APIs in a schema store, the schemas defining operations, types and fields of the APIs. Field resolvers are associated with the fields of the APIs to specify which of the data source is to be used to fulfill an API query request. When an event is detected that makes changes to a schema of any of the data sources, the schema store is accessed and an old field name is automatically replaced with a new field name in both the retrieved schemas and the field resolvers mapped to the retrieved schemas. Responsive to receiving an API request, it is determined whether the request has any field names that do not match the corresponding schema, and if so, the old field name is replaced with the new field name in the request.

Abstract: The present disclosure is related to automatically, based on contextual information and without needing explicit input from a user, modifying one or more settings associated with presenting a notification. In examples, settings may include automatically suspending notification presentation or automatically overriding a notification setting that suspends notification presentation. In addition, contextual information may include, among other things, information related to a computing device (e.g., device location or network signal strength), a rate of user interaction or engagement with an application (e.g., rate of information sharing, user reactions, etc.), and/or a calendar or schedule of a user. In examples, the contextual information may be analyzed (e.g., based on comparison to a threshold) to determine whether a condition is met, and based on the analysis, the one or more settings may be modified.

Abstract: Systems and methods are described for managing the application of data management actions to one or more data objects in a data store. The systems and methods extract at least a portion of a first set of data objects from a data store to a file, wherein a first data object of the first set of data objects comprises a first set of attributes and a set of data management actions. A second set of data objects is loaded into the data store. A confidence score is generated based on a comparison of the first data object of the first set of data objects and a second data object of the second set of data objects. A determination is made that the confidence score satisfies a condition. In response to the confidence score satisfying the condition, the set of data management actions is applied to the second data object.

Abstract: Disclosed herein are system, method, and computer program product embodiments for automatically cataloging updated Application Programming Interface (API) specifications with updated version numbers. The API specifications may have been previously published to an application exchange platform. An automatic cataloging tool installed at an API development system may identify an updated API specification committed to an API specification repository. The automatic cataloging tool may identify a base API specification that has been previously published and confirm that a change has been made. The base API specification may correspond to a particular API development branch that has been updated. The automatic cataloging tool may also apply a versioning strategy to automatically determine an updated version number for the updated API specification. The application exchange platform may then replace the previous API specification with the updated API specification and the updated version number.

Abstract: A computer implemented method manages access to resources of a cloud platform. The method includes retrieving, at a computing device of the cloud platform, context data and load policies for a requestor and an identified resource, combining, by the computing device, loaded policies with context data into a combined data structure, evaluating, by the computing device, a resource request and apply policies for requestor based on role of requestor using the combined data structure, generating, by the computing device, resource permissions for the requestor, and returning, by the computing device, resource permissions to the requestor.

Abstract: Disclosed herein are system, method, and device embodiments for implementing dynamic codeless logging in an integration platform system. An integration platform may provide a declaratively-configurable asset pre-configured to implement a logging functionality associated with a log point, package the declaratively-configurable asset within an integration application, and receive a selection of the log point associated with the declaratively-configurable asset. In addition, the integration application may generate log information corresponding to the log point based on the selection of the log point and the logging functionality. Further, the integration platform may present the log information within a graphical user interface.

Abstract: A system and method for customized scheduling of sources, including breaking down a source of content into at least two categories, including posts and engagements, and gathering content related to a specific source. A scheduler handles scheduling of posts and engagement for a single source and entities that are due to be crawled are sent to a scheduling queue, in which each content type for a source can have its own queue. A process points to the correct scheduler queue in order to request content to be crawled, attaches to the proper queue, processes requests, queries the social network for content, parses the response and sends any new data to be saved to the system.

Abstract: Techniques are disclosed in which a server computer system manages a database cache for multiple different tenants. The system may retrieve, from a database cache storing data for different tenants, a set of key-value entries and cache metadata for the set of key-value entries. Further, the system may identify, based on analyzing keys of key-value entries, tenants corresponding to respective ones of the set of key-value entries. The system may generate, based on the identified tenants and cache metadata for cache entries corresponding to the identified tenants, current usage metrics for the database cache. Based on the current usage metrics for the cache, the system may determine whether to adjust one or more operation parameters of the cache. Disclosed cache management techniques may advantageously allow for analysis of cache usage metrics for individual tenants and more efficient use of the cache (e.g., by altering cache parameters for individual tenants).

Abstract: In accordance with embodiments, there are provided mechanisms and methods for security verification of communications to tenants of an on-demand database service. These mechanisms and methods for security verification of communications to tenants of an on-demand database service can enable embodiments to allow tenants to selectively implement security measures with respect to inbound communications, etc. The ability of embodiments to provide such feature may allow tenants to efficiently and effectively implement security measures for in-bound emails.

Abstract: In association with a communication platform, one or more users can create, share, edit, and/or comment on a document. Some examples of this disclosure are related to providing a list of suggested documents that a user can reference (e.g., add a link to) in a virtual space (e.g., in a message or post to one or more other users). For example, a user can be interacting with a virtual space (e.g., composing a direct message, a channel post, a thread, a workspace, a document, and the like) and invoke a list of suggested documents that can be referenced in the virtual space. In examples of the present disclosure, the list of suggested documents can include documents that are identified (e.g., based on one or more conditions being met) to be relevant to, or otherwise associated with, the virtual space.

Abstract: Embodiments described herein provide systems and methods for data-to-text generation. The embodiments receive input data that includes a resource description framework (RDF) triples in an RDF graph. A data-to-text generation system generates position aware embeddings, including position embeddings, triple role embeddings, and tree-level embeddings. Using the position aware embeddings and the RDF graph, the data-to-text generation system generates a textual description for the RDF graph.

Abstract: A document object may be transmitted to a plurality of user devices. The document object may include at least one field for display of a content object of a group of content objects. The field may be associated with an identifier corresponding to the group of content objects. When the document object is accessed, then the access may trigger a request to a server, which may select a content object of the group of content objects using a content object identification function. The content object identification function may be dynamically updated based at least in part on the document object being accessed by one or more of the plurality of user devices. Responsive to the request, a unique content object identifier corresponding to the selected content object may be transmitted to the user device and displayed at the accessed document object.

Abstract: A minimal distinguishing prefix (MDP) is computed for terms included in a list of terms. The MDP for a term is the minimal prefix that differentiates the term from the immediately preceding term. Lengths of the computed MDPs are compared, and a set of MDPs is selected for inclusion in a trie. A trie generator generates a trie including a plurality of leaf nodes based on the selected MDPs, where each leaf node in the trie corresponds to a respective one of the selected MDPs, such that the terms accessible through a particular leaf node include the term corresponding to the respective one of the selected MDPs and any other terms positioned in the list between that term and a term corresponding to a next one of the selected MDPs in the trie.

Abstract: A system performs optical character recognition (OCR) on an image displaying a portion of an object. An image classification system identifies the object in the image, based on which one or more object detection models identify labels associated with the object within the image. The system determines text of the identified labels using OCR, and analyzes the OCR resultant text for discrepancies and/or inaccuracies. In response to identifying a discrepancy, the system provides a recommendation for improving the accuracy of the OCR resultant text.

Abstract: In an event-based data management system, an event having an associated identifier is received. A mapping operation is performed using the identifier to map the event to a selected one of a plurality of topic partitions. Queues for each of the plurality of topic partitions are managed. The queues for each of the plurality of topic partitions are managed independently of each other. The event is allocated to the selected topic partition based on the mapping operation. The event is placed into the queue for the selected topic partition. A batch of events is sent from the queue for the selected topic partition in response to one or more thresholds being reached.

Abstract: Media, methods, and systems for causing display on a client device of a preview of a collaborative document in a group-based communication system based on user-specific indicia, content-specific data, changed document data that thereby presents a dynamic preview, or a combination of user-specific indicia, content-specific data, and changed document data. Media, methods, and systems further provide a container for files may be created within a group-based communication system. Once files are received and associated with the container, a container preview may be generated. After creation, the container preview may be transmitted to users of the group-based communication system for display.

Abstract: A method and system for code introspection in a multi-tenant architecture. The method includes receiving a query for code introspection from an entity, retrieving context for the entity that sent the query, retrieving raw code information based on the query, filtering the raw code information based on the context, and returning the filtered code information.

Abstract: An online system, for example, a multi-tenant system interacts with various conversation channels, for example, various telephony services and artificial intelligence provider systems that perform artificial intelligence based analysis of conversations. The analysis of the conversation determines additional information describing the conversation, for example, sentiment of an utterance of the conversation, entities mentioned in an utterance of the conversation, intent of an utterance of the conversation, and so on. The online system stores the information describing conversations using a normalized representation that conforms to a unified conversation schema. Various applications may use the result of the analysis obtained from the AI provider systems to take further action, for example, recommend a specific workflow to an agent that is a participant in the conversation.

Abstract: Methods and systems for securing customer data in a multi-tenant database environment are described. A security module running on a database server may generate a private key-public key pair in response to receiving a request to store client data in a database. The security module may then transmit a request to derive a symmetric key to a key server, the request including the generated public key. The key server may derive a symmetric key, using key agreement and a key derivation function, based on the received public key and a private key managed by the key server. The security module may then receive the symmetric key from the key server and encrypt the client data. To facilitate decryption, the public key used to generate the symmetric key and an identifier for the private key managed by the key server may be stored in metadata associated with the client data.

Abstract: A method for data processing is described. The method includes receiving, from a client of a web service, a request for a web component included in a web page supported by the web service, where the web component is associated with a data structure that defines design characteristics of the web component. The method further includes determining configuration parameters that define stylistic characteristics of the web component based on data attributes of the web page and the data structure associated with the web component, where the configuration parameters are determined using a model trained on a corpus of web pages supported by the web service. The method further includes transmitting, to the client and in response to the request, an indication of the configuration parameters for the web component, where the indication is configured to display the web component according to the stylistic characteristics defined by the configuration parameters.

Abstract: An interactive database object representation may be created based on configuration instructions. The interactive database object representation may include a plurality of graphical elements that are each associated with a respective database object field. Each of the database object fields may be associated with a database object definition within a database. The interactive database object representation may be published to a storage medium for transmission upon request to a client machine via a network. The interactive database object representation may facilitate the display and editing of data associated with an instance of the database object.

Abstract: Described herein are a system, apparatus, device, method, and/or computer program product embodiments and/or combinations and sub-combinations thereof for displaying a live database record in a chat session. In a given embodiment, a collaborative communications system may cause display of a subset of fields the database record in a chat session. The collaborative communications system may detect activation of the chat session. The collaborative communications system may retrieve the current values of the subset of fields. Upon retrieval, the collaborative communications system causes display of the subset of fields of the database record including an updated value for a field in the chat session.

Abstract: Systems and methods are provided for receiving an image that includes a clothed person, determining a pose of the person in the image, and segmenting the image into one or more first fashion items. One or more second fashion items may be determined using a similarity search that searches at least one storage device communicatively coupled to the server based on the one or more first fashion items. At least one outfit proposal may be generated based on the one or more second fashion items. Image re-stylization of corresponding portions of the image may be performed, including the clothed person to generate recommended outfit images based on the at least one outfit proposal. The generated outfit images may be transmitted for display.

Abstract: Disclosed are some implementations of systems, apparatus, methods and computer program products for implementing a customizable intent driven action triggering system. The system retrieves, for at least a first intent, a corresponding list of actions. The system provides, to a first client device associated with a first user account, a first graphical user interface (GUI) identifying the first intent, the list of actions, and for at least the first action in the list of actions, a corresponding user-selectable option configurable to indicate whether the first action is activated for the first intent in association with the first user account. The system processes a first request received from the first client device in association with the user-selectable option, where the first request indicates that the first action is activated for the first intent in association with the first user account.

Abstract: A text-to-database neural network architecture is provided. The architecture receives a natural language question and a database schema and generates a serialized question-schema representation that includes a question and at least one table and at least one field from the database schema. The serialized question-schema representation is appended with at least one value that matches a word in the natural language question and at least one field in a database picklist. An encoder in the architecture generates question and schema encodings from the appended question-schema representation. Schema encodings are associated with metadata that indicates a data type of the fields and whether fields are associated with primary or foreign keys. A decoder in the architecture generates an executable query from the question encodings and schema encodings.

Abstract: Techniques are disclosed relating to managing dependencies between shared data objects in a database system. In various embodiments, a data storage system may maintain a function cache that is operable to store functions that are accessible to one or more applications hosted by a server system. In response to a request to invalidate a first data type utilized by one or more of these functions, various embodiments may include accessing an inverted index that specifies a mapping between data types and corresponding functions, stored in the function cache, which depend on those data types. Using the inverted index, various embodiments include identifying a set of functions that depend on the first data type and invalidating the set of functions in the function cache such that the set of functions are no longer accessible by the applications.

Abstract: Methods, systems, and devices for generating a query using training observations are described. According to the techniques described herein, a device (e.g., an application server) may receive a set of queries including a set of fields in a tenant-specific dataset associated with the query. The device may generate a set of training observations for the queries based on the set of fields. The device then trains a first machine learning model to determine grouping hierarchies and a second machine learning model to determine aggregation predictions. The device then builds a combined machine learning model based on the determined grouping hierarchies and the aggregation predictions. According to techniques described herein, the device uses the determined grouping hierarchies and the aggregation predictions to rank a set of suggested queries determined in response to an input query and selects a suggested query for display based on the ranking.

Abstract: Methods, systems, and devices for data object generation are described. A data service may receive an application programming interface (API) request that indicates a first template, a second template, a data set, and one or more user identifiers. The data service may retrieve the first template and the second template from a template library in response to the API request. The data service may generate a data object based on importing fields from the data set to the second template and linking the second template to the first template in accordance with a mapping between variables in the first template and the fields from the data set. The data service may transmit an API response that includes an identifier of the data object that is accessible to the one or more user identifiers.

Abstract: Message moderation is described herein. In an example, a message posted to a virtual space of a communication platform can be flagged for review by a reviewer (e.g., an administrator or other user permissioned to review messages). In some examples, such a reviewer can review a flagged message and determine one or more actions to be performed. Such actions can include removing the message from presentation via the communication platform, modifying presentation of the message via a user interface of the communication platform, replying to the message (e.g., to suggest taking the conversation offline or to another virtual space), disabling interaction with the message, and/or the like. Message moderation, as described herein, can streamline resolution of conversations that become out of hand and/or off topic.

Abstract: The system and methods of the disclosed subject matter provide an experimentation framework to allow a user to perform machine learning experiments on tenant data within a multi-tenant database system. The system may provide an experimental interface to allow modification of machine learning algorithms, machine learning parameters, and tenant data fields. The user may be prohibited from viewing any of the tenant data or may be permitted to view only a portion of the tenant data. Upon generating an experimental model using the experimental interface, the user may view results comparing the performance of the experimental model with a current production model.