Integrating Foresight, Artificial Intelligence and Data Science to Develop Dynamic Futures Analysis
Raúl Trujillo-Cabezas 1 *
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1 School of Management, Universidad Externado de Colombia, Bogota D.C., COLOMBIA
* Corresponding Author

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.

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Research Article

https://doi.org/10.29333/jisem/8428

J INFORM SYSTEMS ENG, 2020 - Volume 5 Issue 3, Article No: em0120

Publication date: 30 Jul 2020

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Article Downloads: 22

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