Embedded intelligence is characterized as the ability of a product, process, or service to reflect on its own operational performance, usage load, or environment. The motivation for this may be to enhance the performance, lifetime, or quality of the product. This self-reflection, facilitated by information collected via embedded sensors, processed locally, or communicated remotely for processing, must be considered from the earliest design stage. Embedded intelligence depends on a multidisciplinary approach for successful implementation. Delivering smarter products, systems, or services to industry Embedded intelligence aims to deliver smarter products, systems, or services to industry through their integration and purposeful use for a given application. This integration can be realized by: CONSTRUCTION whereby integrated assemblies show a fusion of technologies, for example in semiconductor integrated circuits and “More than Moore” systems that build directly upon semiconductor devices. COMBINATION of functions whereby products are allowed to exploit multiple capabilities for improvements in use. An example would be the touch screen that combines actuation with indication. CONNECTION whereby the propagation of information from one product sub-element, system product, or service to another is carried by wires, radio, photonic, or other communication media such as sound or chemical signatures. Embedded intelligence can serve many purposes: The monitoring of the health and usage of products and high-value assets. The ease of use of a product, system, or service. The market appeal and acceptance where a product becomes fashionable, an example of which would be the tablet which regained popularity by the addition of enhanced services, ergonomic design in terms of shape and functionality, and enhanced aesthetics. The ability for a service, system, or product to be used by aging, disabled, or previously socially excluded people. Applications Health of high-value assets High-value products and assets are deployed across a myriad of industrial sectors, ranging from transport, aviation, power networks, etc. Such assets present significant challenges in terms of their design, operation, and maintenance due to limitations in the visibility of the assets’ health. The ability to monitor these assets is impeded by aggressive ambient conditions influencing sensor drift and failure, power management, and communication issues. Today's networks for transport (infrastructure, signalling and services in for example train-lines), and power transmission (i.e. smart grid, network management, protection and control) require integrated sensors that can collect reliable information, transmit it securely, and turn it from data-to-knowledge into action to close the loop. That feedback allows the system/product to