Integrating Foresight, Artificial Intelligence and Data Science to Develop Dynamic Futures Analysis

Abstract

The paper discusses the role of integrating Artificial Intelligence (AI) and Data Science (DS) with the strategic foresight. That is, combining the art of conjecture with several algorithms available in the literature. The combination between qualitative and quantitative methods offers a new dynamic adaptation route to face the rapidly changing environment, to make strategic design more flexible in the long term. The proposal uses the ISSM framework as a notion of a Strategic Early Warning System (SEWS). Thus, an ISSM framework could assist organizations during the transition from dealing with discontinuities or strategic surprises to a new normal, using new capacities to creating knowledge of futures. The purpose is help to develop the component named competitive intelligence (CI) architecture to create knowledge about the future, improving continuous learning, and promote the capacity to adaptation. Therefore, anticipation, learning and strategic adaptation, are key attributes for building strategic flexibility that responds to several challenges.