Abstract: A system for detecting activities and changes in the activities of a user and dynamically performing an action is described. The system comprises a knowledge processor that uses explicit and tacit knowledge, based on cognitive and context data related to an activity to forecast and optimizing future decisions. The system comprises a data receiver to receive data for an action from an access device, the data comprising transactional data associated with contextual information, a scheduler to capture cognitive and context data from the data, perform an activity in response to the action and render activity data associated with the activity.

Abstract: A data analysis system is described. The data analysis system includes a processor, a latent learner coupled to the processor, an inference deducer coupled to the processor, and a probability determiner coupled to the processor. The latent learner is to arrange data in a multi-dimensional structure based on a target activity defined by an individual. The data pertains to one of a current activity and a target activity of the individual. Further, the inference deducer is to perform analysis on the data arranged in the multi-dimensional structure to predict an outcome. The inference deducer employs a proactive-retroactive learning technique to deduce the outcome. Furthermore, the probability determiner is to determine a probability of success of the outcome. Based on the outcome and the probability of success of the outcome, a plurality of choices is generated and rendered on a smart card.