Abstract: Described herein is a system and method for determining the status of instances and update applications to reflect the updated statuses of instances, in real-time. In an embodiment, each instance may enable a service to determine the status of an instance. A core application server may load server pool configurations including a status of an instance. The status indicates the instance is live. Core application server may read a gate definition of the instance using the service enabled on the instance. Core application server may determine that a current status of the instance is virtual, based on the gate definition of the instance. The core application may a local cache of core application server to reflect that the current status of the instance is virtual and propagate to applications executed on other instances and core application server.

Abstract: A messaging system is provided that includes a first message server, a second message server and a distributed database system that stores a blockchain. The first message server receives a message from a first user system, and records at least one selected component of the message into a block of the blockchain stored in the distributed database system. When the second message server receives the message from the first message server, the second message server can determine whether a component from the message matches the selected component that is stored in the block of the blockchain.

Abstract: The method system described herein is configured to identify and execute a next recommended action for a user based on the user's audio input. In an embodiment, the system is configured to receive audio input from the user and convert the audio input into a string. The system may identify an attribute associated with the user. The system may identify a type of action based on the string. The system may query a data repository using the attribute associated with the user to retrieve information associated with the type of action. The system may identify a recommended action for the user based on the information associated with the type of action. The system may then execute the recommended action for the user.

Abstract: A user engagement platform may be maintained in association with an application or service. The user engagement platform may be configurable to provide user engagement content to users of the application or service. A request to perform an operation on first user engagement content may be received from an authorized administrator. The first user engagement content may be configurable by the authorized administrator to be automatically provided to users of the application or service in response to occurrence of a first event. The operation may be performed on the first user engagement content. It may be determined that the first event has occurred in association with a first user of the application or service. The first user engagement content may be caused to be displayed on a device of the first user.

Abstract: Methods, systems, and devices supporting global message threads are described. A thread server may receive a communication message associated with a first set of user identifiers (e.g., the author and recipients of the message) and may extract a thread identifier from the message. The thread identifier may associate the message with one or more additional messages (e.g., from the same thread of messages), where the one or more additional messages may be associated with different user identifiers. The thread server may upsert the received communication message to a stored set of messages associated with a root indicating the thread identifier. If the thread server receives a query indicating the thread identifier from a user, the thread server may retrieve all of the messages associated with the thread identifier from persistent memory based on the query, including messages that are not associated with the user identifier for the querying user.

Abstract: Systems, methods, and computer-readable media for implementing a modulate runtime environment (MRTE) are described. The MRTE includes multiple layers that communicate with one another using messages that are routed by connectors. A computer system may implement an MTRE that includes a platform-specific visualization layer and a data layer, which may include a headless execution engine. The data layer may be implemented by multiple types of computing platforms, and the platform-specific visualization layer may be replaced for different computing platforms. Other embodiments may be described and/or claimed.

Abstract: The disclosed technology teaches a deep end-to-end speech recognition model, including using multi-objective learning criteria to train a deep end-to-end speech recognition model on training data comprising speech samples temporally labeled with ground truth transcriptions.

Abstract: Embodiments are described for enabling a user to query a database using natural language and receive results without requiring the user to manipulate or know details of the database contents. The user is guided in the creation of the natural language query by suggested predetermined queries from a template. Natural language is parsed using the template. The approach allows a user's query words to be completed automatically from the template as the user inputs the words. The approach further allows the next suggested parts of the query to be automatically typed from the template ahead of the user's cursor. Other features provide feedback to the user for invalid or irrelevant queries that cannot be parsed, including suggesting complete predetermined queries from the template. The approach helps the user focus the query on exactly what the user seeks to learn from the database without complex, process-intensive parsing.

Abstract: A set of hardware security modules (HSMs) in a database system may implement a key management system with a database storing encryption keys or other secrets. The set of HSMs may identify a first key encryption key (KEK) and a second KEK stored in the set of HSMs. The set of HSMs may retrieve, from the database, a set of encryption keys encrypted by the first KEK and decrypt each encryption key of the set of encryption keys using the first KEK. The set of HSMs may re-encrypt each encryption key of the set of encryption keys with the second KEK and transmit, to the database, the set of encrypted encryption keys encrypted by the second KEK for storage. Then, the set of HSMs may delete the first KEK from the set of HSMs.

Abstract: Methods, systems, and devices for processing and answering a natural language query at a database server are described. An end user may submit a question in natural language over a communication platform. An answer engine running on the database server may receive the question, and may process the content of the question using natural language processing (NLP) techniques. The answer engine may construct a search query based on the NLP, and may retrieve a set of documents from a database using the search query. The answer engine may rank the documents, prune the number of documents, modify the documents for the given communication platform, or perform any combination of these functions. In some cases, an intermediate user may review the documents, and may select one or more documents for publication. The answer engine may send the selected documents to the end user as answers in response to the question.

Abstract: Methods and systems to provide enablement information by implementing a plug-in application by: executing the plug-in application in a course of application development of the software package connected to a cloud-based computing system; parsing a set of applications contained in the software package to generate a set of metadata data that includes an entire set of metadata for the software package; receiving a set of rules via the cloud-based computing system; defining a set of definitions for each rule in the set of rules to enable a comparison of each rule to the set of metadata to extract one or more features of each application contained in the software package; generating an inventory set of one or more features based on rule definitions for the software package; and generating a recommendation related to a feature of the inventory set of features in each application of the software package.

Abstract: Among other things, embodiments of the present disclosure relate to detecting performance degradation in database systems. For example, some embodiments of the present disclosure help to identify events associated with anomalous database system parameter states and assess the severity of such anomalous events. Other embodiments may be described and/or claimed.

Abstract: Embodiments of apparatus, systems, and methods are described for creating and managing an abstract, API-based infrastructure base model. The API-based model can abstract infrastructure assets, such as infrastructure components or connections between components, into a metadata model using standardized syntax and interfaces, for defining and building an infrastructure. Using a modeling document, connections and components of an infrastructure can be abstracted into an API-based model having semantics that covers them all. Connections and infrastructure components can be made available for selection, arrangement, and grouping to build complex infrastructure models without requiring complex API coding by the user. Other infrastructure models having different API definitions can be by abstracted to standardize the assets for building new APIs. The APIs can be further modified and exported to another or the same implementation project.

Abstract: Network performance data, such as routing trip time between autonomous systems and data centers, is gathered and aggregated to determine optimal mappings of autonomous systems and data centers. Autonomous system based DNS steering may be automated by repeating a life cycle of determining the optimal mappings. Data delivery strategies are applied to a portion of a network to deliver content using the optimal mappings.

Abstract: Methods and systems are provided for assigning computational problems to be solved by compute nodes that have artificial intelligence problem-solving capability. A method includes receiving a computational problem to be solved. Node-related processing attributes of the compute nodes are used to determine which one or more of the compute nodes are capable of solving the computational problem. One or more of the compute nodes are selected to handle the computational problem based upon the determination.

Abstract: Database systems and related customization methods are provided. One exemplary method of modifying a database to support a new functionality involves receiving user input indicative of the new functionality from a client device coupled to a network, identifying existing customizations associated with a user of the client device in the database, determining a plurality of different solutions for implementing the new functionality based at least in part on the existing customizations associated with the user, providing a graphical user interface display at the client device including graphical indicia of the plurality of different solutions for implementing the new functionality, and in response to receiving indication of a selected solution of the plurality of different solutions from the client device, automatically instantiating a new customization corresponding to the selected solution in the database.

Abstract: Systems, methods, and computer-readable media for lazy tracking mechanisms for web caching systems are provided. The lazy tracking mechanism may track and perform asynchronous (async) computation of dirty records for client-side caching mechanisms. The async computation of dirty records may include tracking or accounting for invalidated records relevant to a particular client or user system. Invalidation messages may be sent to client/user systems in response to receipt of a request for updated records, or in response to a request for a particular item. Other embodiments may be described and/or claimed.

Abstract: A method of generating digital data content customized for a user of one or more digital data platforms includes determining, through artificial intelligence, interests of a first user of the one or more digital data platforms, as well as those of a plurality of other users. The method further includes generating a product recommendation for the first user by mapping and filtering, e.g., using ontological filtering, natural language processing and/or semantics, the interests determined for the plurality of other users to the interests determined for the first user, and transferring the product recommendation, along with inventory availability, to a client digital data device for presentation to the first user.

Abstract: Methods, systems, and devices for analyzing communication messages (e.g., emails) and selecting corresponding actions are described. In some database systems, a user may receive multiple messages at a user device. To efficiently determine responses to these messages, the user device may send the messages to a backend server for analysis. The server may perform natural language processing (NLP) to classify the message with one or more binary classifications and may extract metadata from each message. Based on the classifications and the metadata, the server may determine one or more actions the user device may perform to respond to each message. The server may send instructions to the user device indicating the suggested actions, and the user device may display these actions as options to a user. Additionally, the user device may use the classifications and metadata to automatically generate one or more communication templates in response to the message.

Abstract: Disclosed embodiments are related to Application Programming Interface (API) technologies, and in particular, to Order APIs that are used to make modifications and cancelations to existing order objects. The Order APIs can be used to retrieve the current state of an order object, retrieve the summarized state of an order object as of a specified date, and retrieve a potential state of an order object along with specified changes. The Order APIs are also used to process order changes including changes to the quantity of an existing order object and applying line item changes to an existing order object. Other embodiments may be described and/or claimed.

Abstract: Disclosed herein are system, method, and computer program product embodiments for compliance auditing using cloud based computer vision. In one aspect, a system is configured to visually present a set of compliance audits on a display of the mobile device. The system is also configured to receive a user selection to perform a computer vision assisted compliance audit and generate an audit image based at least on outputs received from an image acquisition component of the mobile device. The audit image is further transmitted to the mobile compliance backend system for computer vision assisted compliance auditing. The system then receives audit result information from the mobile compliance backend system, where the audit result information is visually presented on a display of the mobile device.

Abstract: A computing platform is implemented using a server system. The computing platform is configurable to cause identifying a data event associated with a user based on an interaction between the user and a user interface, and generating a segment data object based on the data event, a unique user identifier, and a segment database, the segment data object characterizing a membership of the user within an audience segment. The computing platform is also configurable to cause identifying a content data network server based on a geographical location of the user, the content data network server being a closest available content data network server to the user, and the content data network server being capable of serving, to the user, one or more data objects associated with metadata customized based on one or more segment data objects, and updating a local storage location of the content data network server.

Abstract: Disclosed herein are system, method, and computer program product embodiments system of migration and validation. An embodiment operates by receiving an indication of a plurality of documents for migration from a legacy data format to a new data format of a computing system. A first set of data statistics corresponding to a selected one of the subset of documents prior to a performance of the migration, and a second set of data statistics corresponding to the selected document after the performance of the migration are determined. Both the first set of data statistics and the second set of data statistics side-by-side for the selected document are displayed. An indication whether the migration is validated or invalidated is received.

Abstract: Methods and apparatus, including computer program products, implementing and using techniques for providing a customized representation of a business process involving one or more organizational entities that are accessible through a network. A user interface that can display a customized representation of a business process is provided. User information, including user privileges associated with the business process, is stored in a central repository that is accessible through the network. A request to view the business process is received from a first user through the user interface. The user privileges for the first user are retrieved from the central repository. A customized representation of the business process is displayed with the user interface. The customized representation is in compliance with the retrieved user privileges for the first user.

Abstract: Disclosed are some implementations of systems, apparatus, methods, and computer program products for performing error rate handling as data is ingested across data sources. Notifications are generated and transmitted according to a hierarchical configuration. The hierarchical configuration includes two or more tiers of notification settings, where each tier corresponds to a different error rate threshold and has a corresponding set of notification parameters. A set of notification parameters can identify one or more sets of individuals to be notified upon determining that the error rate exceeds the corresponding error rate threshold. As the error rate increases, notifications may be generated and transmitted according to further tiers of the hierarchical configuration.

Abstract: Disclosed are some implementations of systems, apparatus, methods and computer program products for facilitating the presentation of a personalized user history component in a graphical user interface (GUI), where the history component identifies primary tabs and associated sub-tabs that have been recently accessed by the user. Upon selection of one of the primary tabs, information pertaining to data records associated with the selected primary tab is presented using a link that includes identifiers of the selected primary tab and associated sub-tabs. The link may be saved or shared, enabling the primary tab and associated sub-tabs to be accessed by the user or another user.

Abstract: A method for presenting a graphical user interface (GUI) of a software application connected to a server, the software application comprising at least a database, is provided. The method receives, at the server, user input comprising a search; generates, at the server, a set of search results based on the search, the set of search results being associated with entities of the software application, each of the entities comprising a respective database object containing predefined categories of data, the database comprising at least the database object; determines a priority order of the search results, based on user interaction history with the entities; and presents, via the GUI, the search results according to the priority order.

Abstract: The technology disclosed provides a so-called “joint many-task neural network model” to solve a variety of increasingly complex natural language processing (NLP) tasks using growing depth of layers in a single end-to-end model. The model is successively trained by considering linguistic hierarchies, directly connecting word representations to all model layers, explicitly using predictions in lower tasks, and applying a so-called “successive regularization” technique to prevent catastrophic forgetting. Three examples of lower level model layers are part-of-speech (POS) tagging layer, chunking layer, and dependency parsing layer. Two examples of higher level model layers are semantic relatedness layer and textual entailment layer. The model achieves the state-of-the-art results on chunking, dependency parsing, semantic relatedness and textual entailment.

Abstract: A software application executing on a selected application server in a cluster of application servers stores in a buffer in a memory of the selected application server a payload of data and a corresponding key. The application transfers a copy of the payload of data and the corresponding key to a selected second application server in the cluster, and creates a record in an entry in a transaction log stored in a database to which the cluster of applications servers has access, the record including: the corresponding key, a first value identifying the selected second application server to which the copy of the payload of data and corresponding key were transferred, and a second value identifying the selected first application server in which the payload of data and corresponding key were stored.

Abstract: Disclosed herein are system, method, and computer program product embodiments for detecting duplicates with exact and fuzzy matching on encrypted match indexes using an encryption key in a cloud computing platform. An embodiment operates by determining a match rule index value upon reception of a new record. The embodiment encrypts the match index rule value using the customer's encryption key and a deterministic encryption method and stores the encrypted match rule index value. Duplicate detection may be later performed by using the same deterministic encryption method to determine a cypher text for a candidate entry and comparing the ciphertext to the stored encrypted match indexes.

Abstract: Disclosed herein are system, method, and computer program product embodiments for a dynamic email content engine. An embodiment operates by selecting a subscriber record from a database. The embodiment adds a first content item to a content pool based on a first rule in a set of rules, wherein the first rule is applied based on a characteristic of the content item or a persona record assigned to the subscriber record. The embodiments adds a second content item to the content pool based on a second rule in the set of rules. The embodiment ranks the first content item and the second content item in the content pool based on a first priority value and a second priority value. The embodiment assigns the first content item to the subscriber record based on the ranking.

Abstract: A method of training a predictive model to predict a likely field value for one or more user selected fields within an application. The method comprises providing a user interface for user selection of the one or more user selected fields within the application; analyzing a pre-existing, user provided data set of objects; training, based on the analysis, the predictive model; determining, for each user selected field based on the analysis, a confidence function for the predictive model that identifies the percentage of cases predicted correctly at different applied confidence levels, the percentage of cases predicted incorrectly at different applied confidence levels, and the percentage of cases in which the prediction model could not provide a prediction at different applied confidence levels; and providing a user interface for user review of the confidence functions for user selection of confidence threshold levels to be used with the predictive model.

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: A database may store a plurality of database revisions corresponding to a time period, including a current version and one or more backup versions of a data object. After a threshold time has passed, the database may identify a plurality of time intervals within the time period and identify, for each of the plurality of time intervals, at most one database revision corresponding to the time interval. The database may delete, for each of the plurality of time intervals, all of the database revisions except for the identified at most one database revision. The database may periodically repeat this process to reduce the granularity of backup data over time.

Abstract: Disclosed are examples of systems, apparatus, methods and computer program products for generating or updating cross-community streams. A plurality of communities can be maintained on behalf of a plurality of member organizations. Members of each community can have access to a corresponding set of records. One or more selections operable to assign one or more records to one or more cross-community streams can be displayed in a user interface on a display of a device of a first user. A first request from the first user to assign a first set of one or more records to a first cross-community stream can be processed. The first cross-community stream can be generated or updated.

Abstract: Techniques for providing polymorphic query requests. A request is received that has at least a database query. The database query comprises at least an expression using a polymorphic relationship. The request is processed utilizing the polymorphic relationship. A user-readable result is provided for the query where the result is defined by at least the polymorphic relationship.

Abstract: Apparatuses and techniques to utilize a scratch organization as a unit of virtualization. Potential hosts for a scratch organization are evaluated. The potential hosts include at least the first group of hardware processing devices and a second group of the plurality of hardware processing devices to provide remote client computing environments. A target host is selected from the potential hosts. The scratch organization to be hosted by the target host is generated. Data is loaded from a test source that is not the subject organization into the scratch organization. One or more test operations are performed on the scratch organization using the loaded data with the target host. The scratch organization is destroyed on the selected host after the one or more test operations have been performed.

Abstract: Methods, systems, and devices supporting network and container level traffic analysis and correlation are described. An application server may receive network traffic data from a network-level data capture system and receive container-level application traffic data from a container-level data capture system. The application server may then hash the destination addresses, the time stamp information, and the data amount information from the network traffic data to create a first set of hash values and hash the destination addresses, the time stamp information, and the data amount information from the application traffic data to create a second set of hash values. The application server may then identify matching hash values from the first set of hash values and the second set of hash values and then merge into a data queue the corresponding network traffic with metadata associated with the corresponding application traffic data to create a merged data set.

Abstract: Disclosed herein are system, method, and computer program product embodiments for unifying graphical user interface (GUI) displays across different device types. In an embodiment, a unification system may convert various GUI view appearing on, for example, a desktop device into a GUI view on a mobile device. Both devices may be accessing the same application and/or may use a cloud computing platform to access the application. The unification system may aid in reproducing GUI modifications performed on one user device onto other user devices. In this manner, the unification system may maintain a consistent look-and-feel for a user across different computing device type.

Abstract: Disclosed herein are system, method, and computer program product embodiments for performing automatic layout of an object in a presentation slide. An embodiment operates by implementing a graphical user interface defining a plurality of layout segments on a presentation slide. The embodiment receives an object from a user via an input gesture. The embodiment determines the object is in a layout segment of the plurality of layout segments. The embodiment determines a layout rule based on the determined layout segment and a property of the object. The embodiment then modifies the object based on the determined layout segment. The embodiment outputs a layout result based on the presentation slide and the modified object.

Abstract: In accordance with embodiments, there are provided mechanisms and methods for performing transparent object migration across storage tiers. In an embodiment and by way of example, a method for appending data to large data volumes is provided. The method embodiment includes a) setting a CustomEntityOption bit that determines (at object creation time) where the object is stored, either in the relational or the non-relational data store portion, b) loading the CustomEntityOption bit in a cached CustomEntityDefinition, c) showing the CustomEntityOption bit as EntityInfo, and d) allowing custom object definition and Metadata API functionality when the bit is shown.

Abstract: Disclosed are some implementations of systems, apparatus, methods, and computer program products for implementing, a stateful, contextual, and draggable widget. A widget application stores a state of the widget, a context of the widget, and coordinates of the widget. When a user navigates from one web page of a web site to another web page of the web site, the widget application reconstitutes the widget using the saved state, context, and coordinates of the widget.

Abstract: Techniques are disclosed relating to the execution of a set of program instructions in the background. A parent environment of an application executing on a computer system may receive a request from a first child environment within the parent environment to execute a set of program instructions. The first child environment does not permit the set of program instructions to be executed within the first child environment while the application is backgrounded. In response to the request, the parent environment may spawn a second child environment within the parent environment that permits the set of program instructions to be executed while the application is backgrounded. The parent environment may cause the set of program instructions to be executed within the second child environment and may return a result of the executing to the first child environment.

Abstract: System and methods are described for deriving normalized infrastructure metrics to represent customer experience of a cloud computing system, continuously evaluating a profile for a tenant of the cloud computing system and determining a customer experience indicator for the tenant in real-time or near real-time, without losing accuracy, based at least in part on the infrastructure metrics and the profile.

Abstract: Embodiments described herein provide a method for obtaining information on product inventory and placement in a retail setting. An image including unannotated image data indicative of the retail setting is received. One or more shelves in the retail setting are determined from the unannotated image data, and the image is segmented into one or more sub-images corresponding to the one or more detected shelves. For each sub-image corresponding to a respective detected shelf, a product name is then and a number of appearances of the product name are detected using text recognition on the respective sub-image. Product inventory information and first placement information are derived based at least in part on the detected number of appearances and a shelf level corresponding to the sub-image.

Abstract: Disclosed are some implementations of systems, apparatus, methods and computer program products for encrypting and securely storing session data during a browser session using a session-based cryptographic key. The session data may be decrypted during the browser session or other browser sessions using the session-based cryptographic key or other backwards compatible session-based cryptographic keys. In addition, session-based cryptographic keys may be shared among browser sessions to enable encrypted session data to be decrypted across page refreshes and browser tabs.

Abstract: A method for using an artificial intelligence (AI) entity to interface with a customer relationship management (CRM) software platform online is provided. The method receives user input changes to the CRM software platform, by the AI entity comprising at least one processor and a memory element, wherein the AI entity is configured to perform chat-bot functionality; alters, by the at least one processor, contents of the CRM software platform associated with the user input changes, in response to the AI entity receiving the user input changes; continuously receives CRM data from the CRM software platform, by the at least one processor; receives, by the at least one processor, a user request for a subset of the CRM data; and in response to the user request, transmits the subset.

Abstract: Disclosed herein are system, method, and computer program product embodiments for unifying graphical user interface (GUI) displays across different device types. In an embodiment, a unification system may convert various GUI view appearing on, for example, a desktop device into a GUI view on a mobile device. Both devices may be accessing the same application and/or may use a cloud computing platform to access the application. The unification system may aid in reproducing GUI modifications performed on one user device onto other user devices. In this manner, the unification system may maintain a consistent look-and-feel for a user across different computing device type.

Abstract: A mocking service allows a mocking instance of an API specification to receive behavior parameters with requests for resources of the API specification. The mocking service may digest these parameters and generate a response according to the parameters and using the instance of the API specification. The dynamic responses allow a service to be configured for interacting with an API corresponding to the API specification and for interacting with different response scenarios of the API. The parameters may define response behaviors such as a fixed time until a response is received, a variable time until a response is received, error rate, error codes, validations, etc. In some cases, based on a behavior parameter indicating a request for random data for a requested resource, the mock implementation of the API may generate and return random data according to variables defined in the API specification.