Optimizing Temporal Business Opportunities

Optimizing Temporal Preferences

This paper focuses on problems where the objective is to maximize a set of local preferences for times at which events occur. Previous work by the authors and others has resulted in a formalization of a subclass of these problems into a generalization of Temporal Constraint Satisfaction Problems, using a semi-ring as the underlying structure for reasoning about preferences. A tractable strategy...

Checking Temporal Business Rules

In this paper we describe an event-based algorithm for runtime verification of timed linear temporal logic. The algorithm is based on a rewriting of the formula expressing a desired or undesired property of a timed system. Rewriting takes place, at discrete points in time, but only when there is a relevant statechange taking place in the timed system, or a deadline, determined by the formula, h...

Optimizing Business Processes to Enhance Customer Experience

Optimizing Business Intelligence using the OODA Framework

Business Intelligence is applied to improve decision making in organizations, and as globalized trading and connectivity increase, the pace and unpredictability of the business environment increase as well. Therefore traditional methods of user-driven data discovery will be too slow, and traditional long-term forecasting methods will be unreliable since the environment is behaving chaotically. ...

Business Model Innovation: Opportunities and Barriers

Companies commercialize new ideas and technologies through their business models. While companies may have extensive investments and processes for exploring new ideas and technologies, they often have little if any ability to innovate the business models through which these inputs will pass. This matters the same idea or technology taken to market through two different business models will yiel...