Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for system contextualization. For example, a method can include obtaining information pertaining to (i) parts of a manufacturing plant and (ii) steps of a process executing on the manufacturing plant; generating one or more virtual representations associated with each of the parts and the steps of the process; receiving a query from a user, the query being in conformation with a format of a hierarchical template model; and generating a response to the query based on the one or more virtual representations of the manufacturing plant.

Abstract: Implementations are directed to configuring a set of applications and one or more modules associated with each application, wherein the one or more modules of an application comprise functional components that are bundled into the application, wherein each application is associated with a site of an on-premise system where the application is to be deployed; creating a process flow that includes a plurality of nodes, each node corresponding to a process executed at the site; associating a collection of applications to each node included in the process flow, wherein the collection of applications are selected from the set of applications, wherein the set of applications are categorized based on a relevance score of each application; and deploying the process flow and the collection of applications associated with each node to corresponding on-premise edge devices of the on-premise system based on the site of each application.

Abstract: In some examples, immersive and artificial intelligence based retail may include ascertaining attributes associated with a user, identifying a device to display an augmented reality display, a virtual reality display, and/or a mixed reality display, and generating, based on the ascertained attributes and for display on the identified device, a virtual store including a plurality of clothing articles. A clothing article may be selected from the plurality of clothing articles, and based on the selection of the clothing article, a design, a color combination, a texture, and/or a print pattern may be generated based on the clothing article. Further, immersive and artificial intelligence based retail may include generating a display of a plurality of three-dimensional hologram images of the user wearing the clothing article, and determining personalized clothing articles for the user based on selection of a clothing article from the displayed plurality of three-dimensional hologram images.

Abstract: A machine learning travel management system is operable to provide end-to-end travel solutions and bookings based on machine-learning-assisted choice and selection of travel destinations. Travel solutions may include travel destination choices, which in many instances is one of the most difficult decisions made by travelers. Additionally, the system may interact with active bands, which comprise wearable RFID devices. The wearable RFID devices may provide for identification and location determination to provide location-based services. Also, the system may include a mobile application that provides mapping of travel routes and waypoints, which can interact with location information determined based on the active bands.

Abstract: Implementations are directed to a field services management (FSM) platform by providing a services layer including a plurality of micro-services, each micro-service executing one or more FSM tasks associated with an asset, providing at least one presentation layer including a plurality of channels, through which a user communicates with the FSP platform, receiving, by a virtual agent, and through a channel of the one or more channels, input data from one of the user and the asset, transmitting, by the virtual agent, at least a portion of the input data to an artificial intelligence (AI) system, receiving, by the virtual agent, response data from the AI system, the response data representing an intent, initiating at least one micro-service to perform at least one FSM task based on the intent, the at least one micro-service being performed based on interactions between the user and the virtual agent to progress through a work-flow of the at least one micro-service, and storing interaction data and asset data in

Abstract: In some examples, immersive and artificial intelligence based retail may include ascertaining attributes associated with a user, identifying a device to display an augmented reality display, a virtual reality display, and/or a mixed reality display, and generating, based on the ascertained attributes and for display on the identified device, a virtual store including a plurality of clothing articles. A clothing article may be selected from the plurality of clothing articles, and based on the selection of the clothing article, a design, a color combination, a texture, and/or a print pattern may be generated based on the clothing article. Further, immersive and artificial intelligence based retail may include generating a display of a plurality of three-dimensional hologram images of the user wearing the clothing article, and determining personalized clothing articles for the user based on selection of a clothing article from the displayed plurality of three-dimensional hologram images.

Abstract: A machine learning travel management system is operable to provide end-to-end travel solutions and bookings based on machine-learning-assisted choice and selection of travel destinations. Travel solutions may include travel destination choices, which in many instances is one of the most difficult decisions made by travelers. Additionally, the system may interact with active bands, which comprise wearable RFID devices. The wearable RFID devices may provide for identification and location determination to provide location-based services. Also, the system may include a mobile application that provides mapping of travel routes and waypoints, which can interact with location information determined based on the active bands.

Abstract: Smart appliances, user devices and servers are networked to form a complete end-to-end automated platform wherein the appliances are monitored by a server. Push notifications generated by the smart appliances whenever products contained therein are likely to be exhausted soon are received by the server. The server updates a shopping list on a user device to identify the products as requiring replenishment in response to receiving the push notifications. The server also enables displaying a user interface on the user device that facilitates various interactions for the users of the platform such as identifying products for replenishment, posting feedback on products or making an enquiry regarding products.