Abstract: A request may be received to access a digital asset uniquely identified by an identifier within an on-demand database system configured to provide computing services to a plurality of entities via the internet. Ownership of the digital asset may be determined based on ownership of a designated smart contract recorded in a public trust ledger. A plurality of related smart contracts recorded in the public trust ledger may be identified. Each of the related smart contracts may be linked with the designated smart contract. Two or more of the smart contracts may each include a respective one or more non-fungible tokens related to the digital asset. A respective state for two or more of a plurality of modifiable values may be determined. Each of the modifiable values may be being stored within a respective one of the plurality of related smart contracts within the public trust ledger.

Abstract: According to some implementations, compliance assessment metrics in a subset of two or more compliance assessment metrics are combined to form a combined compliance assessment metric. Each compliance assessment metric in the subset reflects a level of compliance of a set of rules with a different type of data privacy and/or data security laws, regulations, and/or policy. The set of rules are to manage personal data in an organization instance of a customer of a cloud-based software provider capable of hosting the organization instance in one or more datacenters in a plurality of different geographic regions. An ability to move data from the organization instance from a first geographic region to a second geographic region is gated based on the combined compliance assessment metric. In addition, the combined compliance assessment metric is displayed as part of a data policy compliance service provided by the cloud-based software provider.

Abstract: An analytics system uses one or more machine-learned models to predict a hormone receptor status from a H&E stain image. The system partitions H&E stain images each into a plurality of non-overlapping image tiles. Bags of tiles are created through sampling of the image tiles. For each H&E stain image, the system generates a feature vector from a bag of tiles sampled from the partitioned image tiles. The analytics system trains one or more machine-learned models with training H&E stain images having a positive or negative receptor status. With the trained models, the analytics system predicts a hormone receptor status by applying a prediction model to the feature vector for a test H&E stain image.

Abstract: A group-based communication platform is configured to ascertain the relatedness of various work objects shared among users of the group-based communication platform. Moreover, the group-based communication platform may further receive and process work objects originating from non-users of the group-based communication platform, thereby further expanding the utility of the determined relatedness between work objects. These work objects (or encrypted representations of these work objects) may be indexed and stored in association with the group-based communication platform, thereby enabling users to search for and retrieve work objects originating from a plurality of work object sources simultaneously, and based on various characteristics of those work objects and the determined interrelatedness between various work objects.

Abstract: Methods, systems, and devices for supporting security for private data inputs to artificial intelligence models are described. A device (e.g., an application server) may receive a request to run an artificial intelligence model. The device may run the artificial intelligence model on a public data set and an extended set of data that includes both the public data set and a private data set. The device may determine a first set of outcomes based on running the artificial intelligence model on the public data set and a second set of outcomes based on rerunning the model on the extended set of data. The device may then compare the two sets of outcomes to determine whether a private data value is identifiable based on the second set of outcomes. If a private data value is identifiable, the device may obfuscate the results prior to transmitting the results to the requestor.

Abstract: Described herein are systems, apparatus, methods and computer program products configured to provide tracking and/or status updates for on-site service personnel. Geofences may be utilized to provide for automated updates to a customer. Additionally, tracking links and other communications may be provided to the customer to allow for improved communications with on-site service personnel.

Abstract: Exemplary systems, methods, and apparatuses implement a declarative, metadata driven, cryptographically verifiable multi-network (multi-tenant) shared ledger in conjunction with a cloud based computing environment.

Abstract: Techniques are disclosed in which a computer system implements schema changes for existing database objects by maintaining a logical name and a current physical name corresponding to an existing database object, where the logical name points to the current physical name. The system receives a schema change request specifying the logical name and format changes for the existing object. The system performs a schema change operation in response to the request, including: creating a new database object having a new physical name, copying and transforming data from the existing object to the new object according to the format changes, mirroring new writes directed to the logical name to both the existing and new objects, and causing the logical name to point to the new physical name instead of the current physical name after completing the copying. The system responds to subsequent queries, specifying the logical name, from the new object.

Abstract: A set of interfaces is described for implementing a blockchain network by a multi-tenant server, wherein the set of interfaces comprise an object mapping interface. The object mapping interface includes a set object function to designate a tenant object for use in the blockchain network based on an input object; a map function to map fields of the tenant object in a multi-tenant system managed by the multi-tenant server and fields of an exchange object used by the blockchain network based on an input set of field mappings; and a set owner function to set a tenant in the multi-tenant system as an owner of the mappings based on an input identifier.

Abstract: Systems and methods are provided for generating textual embeddings by tokenizing text data and generating vectors to be provided to a transformer system, where the textual embeddings are vector representations of semantic meanings of text that is part of the text data. The vectors may be averaged for every token of the generated textual embeddings and concatenating average output activations of two layers of the transformer system. Image embeddings may be generated with a convolutional neural network (CNN) from image data, wherein the image embeddings are vector representations of the images that are part of the image data. The textual embeddings and image embeddings may be combined to form combined embeddings to be provided to the transformer system.

Abstract: A method implemented by at least one server for pushing managed package upgrades comprises receiving a dependency graph from an operating entity via an API call that expresses relationships between a set of software packages. A subscriber set is ingested for subscribers of the software packages via an API call to the operating entity that owns the software packages. A per-subscriber dependency graph is constructed expressing relationships between the individual subscriber's delivery operations. The set of packages is delivered based on dependency order of the per-subscriber dependency graph, while applying one or more rules including: i) push schedule rules that allow the first operating entity to specify time-based gates for the deliveries; ii) subscriber exclusion rules that allow the operating entity to exclude specific subscribers; iii) rules for automatic retries of failed operations; and iv) rules to chunk the push upgrade operations.

Abstract: A network connectivity system identifies potential connection mechanisms between datacenter entities (e.g., between service instances) on the cloud platform. The network connectivity system provides recommendations including one or more connectivity paths that are preferred with respect to one or more indicators, for example, cost, latency, or security. Specifically, the network connectivity system receives a request to configure a network connection between a first service instance and a second service instance on the cloud platform. The first service instance and the second service instance may reside within the same or different datacenters, different geographical locations, and the like. A network connectivity system identifies, from network connectivity information, one or more connectivity mechanisms for establishing connection between a first datacenter entity (e.g., first service instance) and a second datacenter entity (e.g., second service instance).

Abstract: Methods, systems, and computer program products for a customer relationship management (CRM) system are provided herein. Embodiments presented herein provide for exchange of data between disparate, distributed systems; subscribe to and/or publish customer data change event; creation of master records for consumers using static and streaming sources; providing data provenance, auditing capabilities, and queries across multiple tenants and third party systems. Embodiments provide a single view of a customer in a distributed system environment.

Abstract: Media, system, and method for providing encryption key management to an automated workflow within a group-based communication system. The automated workflow is encrypted using an organization-specific encryption key and is stored in a data store. Responsive to a triggering event, the encrypted workflow is retrieved from the data store to be decrypted and a corresponding decryption key is retrieved from a key store. The decrypted workflow performs a series of steps responsive to determining that a trigger condition has been met. The steps may be associated with at least one of sending a form and sending a message to a user within the group-based communication system.

Abstract: Systems, methods, and apparatuses for implementing an SQL query and filter mechanism for blockchain stored data using Distributed Ledger Technology (DLT) in conjunction with a cloud based computing environment include operating a blockchain interface to the blockchain on behalf of a plurality of tenants of the host organization, in which each one of the plurality of tenants operate as a participating node with access to the blockchain. The system receives input for adding a plurality of authorized network participants to a declared application, updates a blockchain asset on the blockchain containing metadata for the declared application, deploys an executable install package to each of the plurality of authorized network participants for the declared application, retrieves the metadata for the declared application from the blockchain, and displays GUIs specific to the declared application which are auto generated by the executable install package based on the retrieved metadata.

Abstract: In a cloud computing environment, a configurable transaction status interface of an enterprise computing platform enables application developers to customize applications efficiently. The configurable transaction status interface includes a global variable that is populated using a method for implementing a configurable status map that maps a transaction result to the global variable without having to customize the application. The configurable transaction status interface allows third party vendors of transaction gateways to use the configurable status map to map one or more of their gateway-specific transaction results to a generic status defined in the global variable. The vendors manage the configurable status map in their own namespace independently of the application with which they are interfacing.

Abstract: Methods, systems, and devices supporting primitive-based query generation are described. A database system may receive a natural language query associated with a subset of data sets stored at the database system, determine a set of tokens included in the natural language query, and label one or more tokens of the set of tokens with one or more primitives from a set of supported primitives associated with the subset of data sets. The database system may determine a set of higher order concepts corresponding to query operations, query conditions, or both based on the one or more labeled tokens. The database system may train a neural network to learn a grammatical structure of the natural language query and generate a database query for querying the database system based on the one or more labeled tokens, the set of higher order concepts, and the neural network.

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: In accordance with disclosed embodiments, there are provided methods, systems, and apparatuses for aggregating social network feed information including, for example, means for receiving user activity data from one or more social networks; parsing the user activity data to render a plurality of targeting parameters culled from the user activity data; matching one or more of the plurality of targeting parameters with advertising conditions for a social media campaign, wherein the advertising conditions of the social media campaign are contextually relevant to the one or more targeting parameters matched; recommending the social media campaign via a user interface; receiving authorization to launch the social media campaign via input received at the user interface or automatically launching the social media campaign based on pre-defined parameters; and deploying the social media campaign to one or many social media networks. Other related embodiments are disclosed.