Abstract: Disclosed are systems, apparatus, methods, and computer readable media for performing actions in response to information updates provided in an information feed. In one implementation, an information update is selected for comparison with a data record creation rule. The data record creation rule may specify a data record creation operation for creating a data record based the selected information update. The selected information update may be capable of being displayed in an information feed. A determination may be made as to whether the selected information update includes information satisfying a trigger condition associated with the data record creation rule. When the information in the selected information update satisfies the trigger condition, the data record creation operation may be performed to create the data record. The data record creation operation may identify information to include in the data record.

Abstract: A database system performs lookalike analysis on a data set including a plurality of user identifiers, which are associated with one or more attribute records. The database system classifies the user identifiers into one or more segments of user identifiers based on the attribute records. The database system performs Linear Discriminant Analysis (LDA) to calculate a measure of importance of the attribute records relative to the one or more segments. The database system auto-correlates the attribute records based on the numbers of attribute records in the user identifier population and the one or more segments. The database system identifies a set of user identifiers relative to one or more segments using the measures of importance and the auto-correlated parameters.

Abstract: A data processing system analyzes a corpus of conversation data collected at an interactive conversation service to train an intent classification model. The intent classification model generates vectors based on the corpus of conversation data. A set of intents is selected and an intent seed input for each intent of the set of intents is input into the model to generate an intent vector corresponding to each intent. Vectors based on user inputs are generated and compared to the intent vectors to determine the intent.

Abstract: Described is a system and method for compacting data into customized (e.g. optimal) file sizes for processing by computing resources. The mechanism may leverage various computing resources such as a cluster computing frameworks combined with a stream processing platform to efficiently process the activity data. For example, activity data of an organization may be processed by a set of jobs (or sub-jobs) as part of a data stream by a set of distributed computing resources. In order to efficiently process such data, the mechanism may compact the data into customized (e.g. optimal) file sizes. For example, the customized file sizes may provide an optimal (or near optimal) amount of data to be processed by each job, for example, to improve performance.

Abstract: A system selects multiple operators in a query graph by determining whether a corresponding value satisfies a threshold for each operator. The system sorts each selected operator in an ascending order based on a corresponding maximum thread capacity and determines an average number of threads of control based on available threads and the selected operators. The system allocates an initial number of threads to an initial selected operator in the ascending order, the initial number based on a minimum of the average number of threads and corresponding maximum thread capacity. The system determines a revised average number of threads based on remaining number of available threads and remaining number of the selected operators and allocates a next number of threads to a next selected operator in the ascending order, the next number based on a minimum of the revised average number of threads and corresponding maximum thread capacity.

Abstract: Systems and methods are provided for receiving, at a database system having a memory and at least one persistent storage device to store records, a query for a least one record, where the query uses a first version of a manifest, and where each version of the records that are stored in the at least one persistent storage device are represented by metadata that is part of the first version of the manifest. A first operation may be performed based on a scan operation. The database system may determine whether a purge of the memory has occurred after the first operation. When it is determined that the memory purge has occurred, the scan operation may be restarted from a last position of the scan operation prior to the memory purge using a second version of the manifest.

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 MPDs 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 computer implemented method manages access to resources of a philanthropy cloud platform. The method includes retrieving, at a computing device of the philanthropy 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: In accordance with embodiments, there are provided mechanisms and methods for facilitating early detection and warning for system bottlenecks in an on-demand services environment according to one embodiment. In one embodiment and by way of example, a method includes detecting waits during processing of a query within a processing pipeline, wherein the waits include one or more of application-specific waits and database-specific waits; diagnosing the waits to identify a wait that has turned into a bottleneck; classifying one or more types of issues causing the wait to turn into the bottleneck; generating an alert having associated information detailing the issues based on the one or more types and a location of the wait within the processing pipeline; and transmitting the alert to facilitate correction activities.

Abstract: Computing platforms are implemented using server systems. A computing platform is configurable to cause processing of a script object generated based on an input from a user, the script object including user code written in a custom scripting language. The computing platform is also configurable to cause the generating of an executable object based on the script object. The computing platform being configurable to cause executing the executable object against an interface layer associated with the computing platform, the interface layer being configured to provide an interface to an application account associated with an application implemented within the computing platform. The computing platform being configurable to cause generating at least one computing platform object based, at least in part, on the executing of the executable object at the interface layer, the at least one computing platform object being a data object having a format native to the computing platform.

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: 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 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 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: 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: 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: 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: 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: 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.