Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for dynamically allocating computing resources for processing data. In some implementations, a method includes obtaining, over a network, data from one or more units associated with a manufacturing plant indicating addition of a new process or asset to the manufacturing plant; determining an amount of processing resources for performing one or more calculations; generating one or more signals configured to commission the amount of processing resources as a combination of resources from (i) processing resources associated with a cloud-computing system and (ii) processing resources located at a site of the manufacturing plant; processing, by the combination of resources, the data obtained from the one or more units associated with the manufacturing plant to generate one or more performance indicators associated with the manufacturing plant; and providing, to a user device, the one or more performance indicators.

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: 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.