Abstract: Systems, methods, and devices for a cyberphysical (IoT) software application development platform based upon a model driven architecture and derivative IoT SaaS applications are disclosed herein. The system may include concentrators to receive and forward time-series data from sensors or smart devices. The system may include message decoders to receive messages comprising the time-series data and storing the messages on message queues. The system may include a persistence component to store the time-series data in a key-value store and store the relational data in a relational database. The system may include a data services component to implement a type layer over data stores. The system may also include a processing component to access and process data in the data stores via the type layer, the processing component comprising a batch processing component and an iterative processing component.

Abstract: A touchless payment option is received for a transaction being processed at a transaction terminal. A payment option for a transaction interface on the transaction terminal is deactivated. A registered payment method is obtained for a customer associated with the transaction and the registered payment method is processed with a payment server to obtain payment for the transaction. Transaction screens associated with the transaction are automatically updated to reflect that payment was received by the transaction terminal. The customer does not touch any surface of touch display to initiate or to perform payment processing at the transaction terminal.

Abstract: Processing of data relating to energy usage. First data relating to energy usage is loaded for analysis by an energy management platform. Second data relating to energy usage is stream processed by the energy management platform. Third data relating to energy usage is batch parallel processed by the energy management platform. Additional computing resources, owned by a third party separate from an entity that owns the computer system that supports the energy management platform, are provisioned based on increasing computing demand. Existing computing resources owned by the third party are released based on decreasing computing demand.

Abstract: Processing of data relating to energy usage. First data relating to energy usage is loaded for analysis by an energy management platform. Second data relating to energy usage is stream processed by the energy management platform. Third data relating to energy usage is batch parallel processed by the energy management platform. Additional computing resources, owned by a third party separate from an entity that owns the computer system that supports the energy management platform, are provisioned based on increasing computing demand. Existing computing resources owned by the third party are released based on decreasing computing demand.

Abstract: A touchless payment option is received for a transaction being processed at a transaction terminal. A payment option for a transaction interface on the transaction terminal is deactivated. A registered payment method is obtained for a customer associated with the transaction and the registered payment method is processed with a payment server to obtain payment for the transaction. Transaction screens associated with the transaction are automatically updated to reflect that payment was received by the transaction terminal. The customer does not touch any surface of touch display to initiate or to perform payment processing at the transaction terminal.

Abstract: Systems, methods, and devices for a cyberphysical (IoT) software application development platform based upon a model driven architecture and derivative IoT SaaS applications are disclosed herein. The system may include concentrators to receive and forward time-series data from sensors or smart devices. The system may include message decoders to receive messages comprising the time-series data and storing the messages on message queues. The system may include a persistence component to store the time-series data in a key-value store and store the relational data in a relational database. The system may include a data services component to implement a type layer over data stores. The system may also include a processing component to access and process data in the data stores via the type layer, the processing component comprising a batch processing component and an iterative processing component.

Abstract: Systems, methods, and devices for a cyberphysical (IoT) software application development platform based upon a model driven architecture and derivative IoT SaaS applications are disclosed herein. The system may include concentrators to receive and forward time-series data from sensors or smart devices. The system may include message decoders to receive messages comprising the time-series data and storing the messages on message queues. The system may include a persistence component to store the time-series data in a key-value store and store the relational data in a relational database. The system may include a data services component to implement a type layer over data stores. The system may also include a processing component to access and process data in the data stores via the type layer, the processing component comprising a batch processing component and an iterative processing component.

Abstract: Processing of data relating to energy usage. First data relating to energy usage is loaded for analysis by an energy management platform. Second data relating to energy usage is stream processed by the energy management platform. Third data relating to energy usage is batch parallel processed by the energy management platform. Additional computing resources, owned by a third party separate from an entity that owns the computer system that supports the energy management platform, are provisioned based on increasing computing demand. Existing computing resources owned by the third party are released based on decreasing computing demand.

Abstract: Systems, methods, and devices for a cyberphysical (IoT) software application development platform based upon a model driven architecture and derivative IoT SaaS applications are disclosed herein. The system may include concentrators to receive and forward time-series data from sensors or smart devices. The system may include message decoders to receive messages comprising the time-series data and storing the messages on message queues. The system may include a persistence component to store the time-series data in a key-value store and store the relational data in a relational database. The system may include a data services component to implement a type layer over data stores. The system may also include a processing component to access and process data in the data stores via the type layer, the processing component comprising a batch processing component and an iterative processing component.

Abstract: Systems, methods, and devices for a cyberphysical (IoT) software application development platform based upon a model driven architecture and derivative IoT SaaS applications are disclosed herein. The system may include concentrators to receive and forward time-series data from sensors or smart devices. The system may include message decoders to receive messages comprising the time-series data and storing the messages on message queues. The system may include a persistence component to store the time-series data in a key-value store and store the relational data in a relational database. The system may include a data services component to implement a type layer over data stores. The system may also include a processing component to access and process data in the data stores via the type layer, the processing component comprising a batch processing component and an iterative processing component.

Abstract: Processing of data relating to energy usage. First data relating to energy usage is loaded for analysis by an energy management platform. Second data relating to energy usage is stream processed by the energy management platform. Third data relating to energy usage is batch parallel processed by the energy management platform. Additional computing resources, owned by a third party separate from an entity that owns the computer system that supports the energy management platform, are provisioned based on increasing computing demand. Existing computing resources owned by the third party are released based on decreasing computing demand.

Abstract: Disclosed are systems and methods for picking a product to complete an order. The systems and methods may include receiving product information obtained via a user mobile device; retrieving, by a robot, the product from the location within the warehouse; and depositing, by the robot, the product in a bin assigned to an order. The product information may identify a location of the product in a warehouse.

Abstract: A retail store is comprised of a retail space having billboard paper with images of items and item codes for purchasing the items. The retail store further includes a pick area where physical items of the store are located. A device operated by a user scans the item codes and the item codes are communicated to a server for item information and item pricing. As item identifiers are moved to a cart depicted on the device by the user, the server communicates the item details to a display device in the pick area where corresponding items are picked for a transaction of the user in real time. When the user checks out and pays for the items in the cart, the user retrieves the bagged items for the transaction from a pickup drive-thru accessible from an external area of the retail store where the pick area is located.

Abstract: A retail store is comprised of a retail space having billboard paper with images of items and item codes for purchasing the items. The retail store further includes a pick area where physical items of the store are located. A device operated by a user scans the item codes and the item codes are communicated to a server for item information and item pricing. As item identifiers are moved to a cart depicted on the device by the user, the server communicates the item details to a display device in the pick area where corresponding items are picked for a transaction of the user in real time. When the user checks out and pays for the items in the cart, the user retrieves the bagged items for the transaction from a pickup drive-thru accessible from an external area of the retail store where the pick area is located.

Abstract: Systems, methods, and devices for a cyberphysical (IoT) software application development platform based upon a model driven architecture and derivative IoT SaaS applications are disclosed herein. The system may include concentrators to receive and forward time-series data from sensors or smart devices. The system may include message decoders to receive messages comprising the time-series data and storing the messages on message queues. The system may include a persistence component to store the time-series data in a key-value store and store the relational data in a relational database. The system may include a data services component to implement a type layer over data stores. The system may also include a processing component to access and process data in the data stores via the type layer, the processing component comprising a batch processing component and an iterative processing component.

Abstract: Systems, methods, and devices for a cyberphysical (IoT) software application development platform based upon a model driven architecture and derivative IoT SaaS applications are disclosed herein. The system may include concentrators to receive and forward time-series data from sensors or smart devices. The system may include message decoders to receive messages comprising the time-series data and storing the messages on message queues. The system may include a persistence component to store the time-series data in a key-value store and store the relational data in a relational database. The system may include a data services component to implement a type layer over data stores. The system may also include a processing component to access and process data in the data stores via the type layer, the processing component comprising a batch processing component and an iterative processing component.

Abstract: Systems, methods, and devices for a cyberphysical (IoT) software application development platform based upon a model driven architecture and derivative IoT SaaS applications are disclosed herein. The system may include concentrators to receive and forward time-series data from sensors or smart devices. The system may include message decoders to receive messages comprising the time-series data and storing the messages on message queues. The system may include a persistence component to store the time-series data in a key-value store and store the relational data in a relational database. The system may include a data services component to implement a type layer over data stores. The system may also include a processing component to access and process data in the data stores via the type layer, the processing component comprising a batch processing component and an iterative processing component.

Abstract: In one embodiment, the invention is a computing system comprising a World Wide Web application with a user interactive record field is described. The record field receives a record field entry. The application receives a context change request. Responsive to the context change request, the application dynamically transmits the record field entry to a server for storage in a database.

Abstract: According to one aspect of the present invention, a method is provided in which a first field and a second field of a data record are displayed to a user using a client program, the second field having one or more attributes that are dependent upon the value of the first field. In response to a detection that the value of the first field has changed, the value of the first field is sent to a server program. The server program is configured to process the change in value of the first field and determine corresponding changes with respect to the one or more attributes of the second field. The corresponding changes with respect to the one or more attributes of the second field are sent from the server program to the client program.

Abstract: Processing of data relating to energy usage. First data relating to energy usage is loaded for analysis by an energy management platform. Second data relating to energy usage is stream processed by the energy management platform. Third data relating to energy usage is batch parallel processed by the energy management platform. Additional computing resources, owned by a third party separate from an entity that owns the computer system that supports the energy management platform, are provisioned based on increasing computing demand. Existing computing resources owned by the third party are released based on decreasing computing demand.