Abstract: A computing platform is configurable to cause identifying a first data object type of a computing platform, the first data object type identifying first data objects being included in a data model of an application, and identifying a second data object type of the computing platform, the second data object type identifying second data objects included in the data model, and the identifying of the second data object type defining a relationship between the second data object type and the first data object type. The computing platform is also configurable to cause generating a filter rule associated with the second data object type, the filter rule defining which of the plurality of second data objects may be associated with the plurality of first data objects, the filter rule being defined based, at least in part, on at least some of a plurality of attributes of the second data object type.

Abstract: A method for meeting management that includes receiving an indicator of a user access of a meeting digest of a meeting, filtering communications of the user to identify communications received from a participant of the meeting, identifying at least one outstanding request from the participant or at least one unanswered communication from the participant, and generating a task for the meeting digest for the identified at least one outstanding request or the identified at least one unanswered communication.

Abstract: Systems and methods for verifying a firewall for a cloud provider. The method includes receiving by a timelord module configured with access to a plurality of HTTP attacks that incorporate random tokens, an updated policy ok signal that was generated by an external element. The timelord module responds by (a) loading a first HTTP attack with a first expected response that is either forbidden or accepted, the first HTTP attack including the random tokens in a form of a header key value parameter; (b) sending the first HTTP attack to the firewall; (c) comparing a response from the firewall to the first HTTP attack with the first expected response; and (d) incrementing the first HTTP attack and repeating (a) - (c) until the plurality of HTTP attacks has been sent; and deleting the random tokens after the plurality of HTTP attacks have been sent.

Abstract: A system and method for rotating private encryption keys for tenants of a database system has been developed. First, three separate public-private encryption keys are generated for a tenant of the database system. The three separate private encryption keys for the tenant are then stored in cloud-based storage. A defined cadence is created to rotate the private encryption keys for the tenant. The three separate private encryption keys for the tenant are defined as a a past private key, a present private key and a future private key. Next, the public encryption key is stored for the tenant in a global tenant directory. The present private key and the public encryption key are retrieved to encrypt and decrypt data from the tenant. The three separate private encryption keys are rotated at the defined cadence, where the past private key is discarded, the present private key becomes a new past private key, the future private key becomes a new present private key, and a new future private key is generated.

Abstract: Disclosed are some implementations of systems, apparatus, methods and computer program products for performing a decision-based multi-stage report generation process. Execution of a set of computer-readable instructions configurable to generate a report is initiated. During execution of a first subset of the set of computer-readable instructions associated with a first stage of report generation, at least a first template is applied. A result of the first stage of report generation is ascertained. It is determined whether the first stage of report generation is successfully completed based, at least in part, on application of a first condition to the result of the first stage of report generation. A first indicator of a data structure associated with the set of computer-readable instructions is updated such that the first indicator indicates whether the first stage of report generation is successfully completed.

Abstract: Technology for tracking changes to a database and providing the changes to a subscribing computing device. In an illustrative implementation, a method may involve subscribing a computing device to changes of a portion of a multi-tenant database and accessing a plurality of change events stored in a log of the multi-tenant database in parallel. The method may further involve storing the plurality of change events in a persistent data store separate from the multi-tenant database and processing the plurality of change events to create an ordered set of change events. The ordered set of change events may then be provided to the computing device that subscribed to the changes.

Abstract: A method for generating a neural network for detecting one or more objects in images includes generating one or more self-supervised proposal learning losses based on the one or more proposal features and corresponding proposal feature predictions. One or more consistency-based proposal learning losses are generated based on noisy proposal feature predictions and the corresponding proposal predictions without noise. A combined loss is generated using the one or more self-supervised proposal learning losses and one or more consistency-based proposal learning losses. The neural network is updated based on the combined loss.

Abstract: A method for evaluating robustness of one or more target neural network models using natural typos. The method includes receiving one or more natural typo generation rules associated with a first task associated with a first input document type, receiving a first target neural network model, and receiving a first document and corresponding its ground truth labels. The method further includes generating one or more natural typos for the first document based on the one or more natural typo generation rules, and providing, to the first target neural network model, a test document generated based on the first document and the one or more natural typos as an input document to generate a first output. A robustness evaluation result of the first target neural network model is generated based on a comparison between the output and the ground truth labels.

Abstract: Systems, methods, and devices facilitate generation of application programming interfaces. Systems include a computing platform implemented using a server system, the computing platform being configurable to cause monitoring application programming interface (API) traffic associated with a client service, storing a representation of the API traffic in a database system, the representation including at least an API call identifier and metadata, and generating one or more API models based, at least in part, on the representation of the API traffic, the one or more API models being configured to represent a plurality of API interactions associated with the client service. The computing platform is further configurable to cause generating one or more API objects based, at least in part, on the API models, the one or more API objects being one or more components of a client service API.

Abstract: Among other things, embodiments of the present disclosure relate to detecting and mitigating errors associated with software pull requests (PRs). Other embodiments may be described or claimed.

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: Disclosed are some implementations of systems, apparatus, methods and computer program products for implementing a scalable computing system. The scalable computing system includes an intermediate system that facilitates communications between a core server system and a third-party system. The core server system processes a client request for a third-party service in association with a web page having a corresponding web address. The intermediate system communicates with the core server system to obtain a session token, and transmits the session token and web address to the third-party system. The third-party system may then access the web page via the web address using the session token.

Abstract: Systems and methods are provided for rendering components of a user interface (UI) of an application such that primitive child elements that correspond to child components of the UI can be rendered without instantiating the child components. Each child data object corresponds to a particular child component of a parent component and includes data for that particular child component. Child data objects can be augmented to include a simple render method for rendering structured data of the augmented child data objects. The parent component be rendered from its template by iteratively evaluating each child data object and checking a property of that child data object to determine whether it includes a simple render method, and if so, the template of the parent component can instruct the framework to use that simple render method to get an atom object and render one or more primitive child elements.

Abstract: Disclosed are some implementations of systems, apparatus, methods and computer program products for implementing a scalable computing system. The scalable computing system includes an intermediate system that facilitates communications between a core server system and a third-party system. The core server system processes a client request for a third-party service in association with a web page having a corresponding web address. The intermediate system communicates with the core server system to obtain a session token, and transmits the session token and web address to the third-party system. The third-party system may then access the web page via the web address using the session token.

Abstract: Systems and methods are provided for securely sharing database records in the context of a conversation at a communication platform using a secure sharing service. The secure sharing service identifies an external system user identifier for a participant in the conversation at the communication platform using an identifier associated with the participant at the communication platform, identifies permissions associated with the data record at the external system, and identifies a subset of fields of the data record viewable by the participant using the external system user identifier. The secure sharing service obtains values for the identified subset of fields of the data record from the external computing system and automatically generates a shared data record message associated with the conversation at the communication platform that includes the obtained values for the identified subset of fields of the data record.

Abstract: Technologies are provided for supporting tenant customizations in a cloud computing platform. A standard application programming interface (API) can be defined to support a generic set of parameters that allow tenant-specified custom data to be passed to and from the standard API. The generic set of parameters allow the standard API to process requests and responses that include a payload that comprises tenant-specified custom data. The payload allows the tenant-specified custom data to be passed to and from the standard API. When a request is received at the cloud computing platform, a request payload of the request, that includes tenant-specified custom data, can be processed at the standard API, and a response can be sent from the cloud computing platform that includes a response payload that includes the tenant-specified custom data.

Abstract: A method of early warning and risk assessment of incidents in a multi-tenant cloud environment is provided. The method includes: capturing a plurality of data metrics; automatically generating derived features from the plurality of captured data metrics; automatically selecting risk assessment features from the derived features and the captured data metrics; and predicting the risk of an incident in the multi-tenant cloud environment within a specified time window in the future and one or more possible root causes of the incident by applying the newly selected risk assessment features to a trained risk assessment model. The trained risk assessment model has been trained using machine learning techniques to predict the risk of an incident in the multi-tenant cloud environment within a specified time window in the future, provide an explanation of possible root causes of the incident, and assign a strength level to each possible root cause.

Abstract: Systems and methods are described for migrating a workflow from a source system to a target system. The systems and methods receive metadata defining a workflow configured for processing by the source system. A set of rules associated with transforming the metadata for processing by the target system are identified. A first rule is applied to the metadata to execute a first transformation of an element of the metadata. A second rule is applied to the metadata to execute a second transformation of a position of an element of the metadata. The systems and methods generate a transformed workflow including the first transformation and the second transformation. The transformed workflow is displayed via the target system.

Abstract: Systems and methods for unifying question answering and text classification via span extraction include a preprocessor for preparing a source text and an auxiliary text based on a task type of a natural language processing task, an encoder for receiving the source text and the auxiliary text from the preprocessor and generating an encoded representation of a combination of the source text and the auxiliary text, and a span-extractive decoder for receiving the encoded representation and identifying a span of text within the source text that is a result of the NLP task. The task type is one of entailment, classification, or regression. In some embodiments, the source text includes one or more of text received as input when the task type is entailment, a list of classifications when the task type is entailment or classification, or a list of similarity options when the task type is regression.

Abstract: Disclosed herein are system, method, and computer program product embodiments for providing a data model application programming interface (“API”) to customizable live applications in a cloud collaboration platform. The cloud collaboration platform provides data storage, a data model, and an API to embedded third-party live applications to allow the live applications to securely create, store, and access data within the cloud collaboration platform. The data model allows records stored in the cloud collaboration platform to sync independently, merge intelligently, and function offline.