Abstract: There is disclosed a device-based eCare solution that facilitates computerized consumer service on consumer devices. The system may include an end device, a back-end server eCare system, and a communications technology. One or more consumer eCare applications, such as balance and pricing applications, consumer assistance applications, diagnostic applications, and anticipatory applications, may be resident on the device. The end device may be configured to monitor the consumer's activity and collect and store a set of data regarding the consumer's activity. The end device may be further programmed to proactively offer the consumer a consumer eCare application based on the set of data and execute the consumer eCare application in accordance with the consumer's instructions. The system may create a collaborative environment between the device, other devices, and the back-end server eCare system.

Abstract: An e-Care dispenser is disclosed herein which configures a set of devices to cooperatively process care requests by utilizing functional aspects distributed throughout those devices. The devices can be end user devices with varying capabilities, some of which might not possess resources to process the care request independently. The functional aspects can be distributed throughout the devices in such a manner as to efficiently utilize the devices in providing care.

Abstract: A system and method is disclosed which integrates a machine learning solution into a large scale, distributed transaction processing system using a supporting architecture comprising a combination of computer hardware and software. Methods of using a system comprising such supporting architecture provide application designers access to the functionality included in a machine learning solution, but might also provide additional functionality not supported by the machine learning solution itself.

Abstract: An e-Care dispenser is disclosed herein which configures a set of devices to cooperatively process care requests by utilizing functional aspects distributed throughout those devices. The devices can be end user devices with varying capabilities, some of which might not possess resources to process the care request independently. The functional aspects can be distributed throughout the devices in such a manner as to efficiently utilize the devices in providing care.

Abstract: A system and method is disclosed which integrates a machine learning solution into a large scale, distributed transaction processing system using a supporting architecture comprising a combination of computer hardware and software. Methods of using a system comprising such supporting architecture provide application designers access to the functionality included in a machine learning solution, but might also provide additional functionality not supported by the machine learning solution itself.

Abstract: An e-Care dispenser is disclosed herein which configures a set of devices to cooperatively process care requests by utilizing functional aspects distributed throughout those devices. The devices can be end user devices with varying capabilities, some of which might not possess resources to process the care request independently. The functional aspects can be distributed throughout the devices in such a manner as to efficiently utilize the devices in providing care.

Abstract: A system and method is disclosed which integrates a machine learning solution into a large scale, distributed transaction processing system using a supporting architecture comprising a combination of computer hardware and software. Methods of using a system comprising such supporting architecture provide application designers access to the functionality included in a machine learning solution, but might also provide additional functionality not supported by the machine learning solution itself.

Abstract: There is disclosed a system and method for creating value by facilitating third party participation in mobile commerce transactions, providing consumers with a unified perspective of commercial activity, and selectively implementing discounts. The system may include a computerized engine and a point of sale wallet, which may be embedded in a personal trusted device. The computerized engine may be programmed to selectively implement a discount associated with a particular transaction. The personal trusted device may comprise a wireless communications technology, which enables the device to communicate with a back-end system and/or other point of sale devices. The personal trusted device may serve as the nexus of consumer transactions by facilitating payment as well as receipt and storage of electronic receipts. The personal trusted device may also be configured to transmit electronic receipts via the communications technology.

Abstract: There is disclosed a system and method for creating value by facilitating third party participation in mobile commerce transactions, providing consumers with a unified perspective of commercial activity, and selectively implementing discounts. The system may include a computerized engine and a point of sale wallet, which may be embedded in a personal trusted device. The computerized engine may be programmed to selectively implement a discount associated with a particular transaction. The personal trusted device may comprise a wireless communications technology, which enables the device to communicate with a back-end system and/or other point of sale devices. The personal trusted device may serve as the nexus of consumer transactions by facilitating payment as well as receipt and storage of electronic receipts. The personal trusted device may also be configured to transmit electronic receipts via the communications technology.

Abstract: There is disclosed a simplified rating language for crafting price plans for ratable events which may be interpreted by either a source level interpreter resident upon a device also comprising a device based rating engine or via a virtual machine designed for said rating language.