Process Implications: Current Software Enhancements, Including Increasing Levels of AI

Bruce Garvey and Adam D. M. Svendsen
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Bruce Garvey: Strategy Foresight Limited
Adam D. M. Svendsen: Norwegian Defence University College (NDUC/FHS)

Chapter Chapter 15 in Navigating Uncertainty Using Foresight Intelligence, 2024, pp 309-327 from Springer

Abstract: Abstract Due to all of the observed limitations encountered thus far throughout the development of a more sophisticated scenario planning process, the necessity arose to explore how other software enhancements, plus the deployment of AI technologies, could help speed up and make more manageable the overall methodology. In Chaps. 8–11 found above in the first half of this book, we explored how Generative-AI (Gen-AI) might help accelerate Strategic Options Analysis (SOA) and scenario planning processes, with very mixed results being found. However, such is the pace of change and development in the broader AI domain that we felt that further research was required to see how and, more crucially, where and when AI could contribute to overcoming, via mitigation, concerns about the complexity of advancing a more enhanced scenario methodology, as found in the second half of this book. This chapter now engages those concerns through sharing the results of a project conducted in close collaboration with a team of students based at Bayes Business School in London.

Keywords: Scenario planning methodology process; Uncertainty; Computer-aided software; Artificial Intelligence (AI); Generative Artificial Intelligence (Gen-AI); Foresight Intelligence (FORINT) (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/978-3-031-66115-0_15

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