Incanto can be implemented to solve the following kinds of decision making problems:
Problems where the expert rule set is large or complex. Incanto is especially suited to managing complexity.
Problems where the rules change frequently. Incanto`s testing capabilities mean amended rule sets can be introduced swiftly and with confidence.
Problems where the expert rules set needs to be applied to large volumes of data.
Where all these conditions apply Incanto is probably the only good answer in the market at present.
Context-aware computing refers to a general class of mobile systems that can sense their physical environment, i.e., their context of use, and adapt their behavior accordingly. Such systems are a component of a ubiquitous computing or pervasive computing environment. Three important aspects of context are: (1) where you are; (2) who you are with; and (3) what resources are nearby. Although location is a primary capability, location-aware does not necessarily capture things of interest that are mobile or changing. Context-aware in contrast is used more generally to include nearby people, devices, lighting, noise level, network availability, and even the social situation; e.g., whether you are with your family or a friend from school.
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