Abstract: In examples, locations of facial landmarks may be applied to one or more machine learning models (MLMs) to generate output data indicating profiles corresponding to facial expressions, such as facial action coding system (FACS) values. The output data may be used to determine geometry of a model. For example, video frames depicting one or more faces may be analyzed to determine the locations. The facial landmarks may be normalized, then be applied to the MLM(s) to infer the profile(s), which may then be used to animate the mode for expression retargeting from the video. The MLM(s) may include sub-networks that each analyze a set of input data corresponding to a region of the face to determine profiles that correspond to the region. The profiles from the sub-networks, along global locations of facial landmarks may be used by a subsequent network to infer the profiles for the overall face.

Abstract: A cloud based service architecture is used in providing Master Data Management (MDM) services to clients. The MDM cloud based architecture comprises a client architecture and a server architecture. The client architecture includes synchronization services that are used to interact with the MDM cloud based service. The server architecture comprises a public Application Programming Interface (API) and a portal for accessing different MDM functionality. For example, a client may access the server architecture to create/modify MDM workflows that are hosted by the cloud based service. The cloud based service architecture also provides access to different MDM services including MDM workflows, validation, transformation, and storage relating to master data. The cloud based architecture may be used to publish master data and/or subscribe to master data.

Abstract: A cloud based service provides Master Data Management (MDM) services to clients. A client may create/modify MDM workflows that are hosted by the cloud based service to assist in meeting their needs. An interface is provided at points within the workflow that is hosted by the cloud based service. The cloud based service utilizes a flexible pipeline that executes predefined configurable blocks. A user can create or customize an existing workflow based on the predefined set of blocks (e.g. execution blocks, conditional blocks, loop blocks). The blocks are configured to receive, process and send information relating to the master data according to a predefined schema. Clients may publish master data changes and/or subscribe to master data changes made by other clients.

Abstract: Techniques and apparatuses for providing access to enterprise resource planning (ERP) systems from e-mail applications are described. In an embodiment, an apparatus includes a processing unit and a client e-mail application executing on the processing unit. An add-on application may be installed on the client e-mail application. The add-on application allows the client e-mail application to receive an ERP action from an ERP system via a supply hub; act on the ERP action with a second ERP action; and send the second ERP action to the ERP system via the supply hub. Other embodiments are described and claimed.

Abstract: Techniques and apparatuses for providing access to enterprise resource planning (ERP) systems from CRM applications are described. In an embodiment, an apparatus includes a processing unit and a client CRM application executing on the processing unit. An add-on application may be installed on the client CRM application. The add-on application allows the client CRM application to receive an ERP action from an ERP system via a supply hub; act on the ERP action with a second ERP action; and send the second ERP action to the ERP system via the supply hub. Other embodiments are described and claimed.

Abstract: A cloud based service architecture is used in providing Master Data Management (MDM) services to clients. The MDM cloud based architecture comprises a client architecture and a server architecture. The client architecture includes synchronization services that are used to interact with the MDM cloud based service. The server architecture comprises a public Application Programming Interface (API) and a portal for accessing different MDM functionality. For example, a client may access the server architecture to create/modify MDM workflows that are hosted by the cloud based service. The cloud based service architecture also provides access to different MDM services including MDM workflows, validation, transformation, and storage relating to master data. The cloud based architecture may be used to publish master data and/or subscribe to master data.

Abstract: Data is securely published from a local service to a network service. The data for publishing to the network service is selected using the local service. In response to the data being selected for publishing, the local service creates a secure connection to the network service and transfers the data to the network service. For example, a master data services (MDS) client application may be used to select data from an Enterprise Resource Planning (ERP) server to be published to a network service, such as a network service that provides master data services. The published data is received by the network service and stored in a data store. The data may be stored within the network service such that a user may consume the published data using the network service.

Abstract: A cloud based service provides Master Data Management (MDM) services to clients. A client may create/modify MDM workflows that are hosted by the cloud based service to assist in meeting their needs. An interface is provided at points within the workflow that is hosted by the cloud based service. The cloud based service utilizes a flexible pipeline that executes predefined configurable blocks. A user can create or customize an existing workflow based on the predefined set of blocks (e.g. execution blocks, conditional blocks, loop blocks). The blocks are configured to receive, process and send information relating to the master data according to a predefined schema. Clients may publish master data changes and/or subscribe to master data changes made by other clients.