Title

Enhancing Artificial Intelligence Decision Making Frameworks to Support Leadership During Business Disruptions

Document Type

Article

Publication Date

2020

Keywords

Artificial intelligence, Business, Resilience, Telecommunication network reliability, Decision making

Digital Object Identifier (DOI)

https://doi.org/10.1109/MITP.2020.3031312

Abstract

Resilience is an organization's end-to-end capability to handle disruptions and recover postdisruption. This resilience depends on an organization's ability to predict disruptions and the preparedness of the leadership to handle them. Predictability and preparedness are functions of data science in the data-driven world of today's digital business. Artificial Intelligence (AI) within data science is poised to play a crucial role in making sense of data, predicting disruptions, and assisting the leaders with business continuity. AI's deep learning engine (DLE) is a tool that learns from past decisions and subsequent consequences. This article discusses enhancing the DLE with human experience resulting in a business disruption prediction framework.

Citation / Publisher Attribution

IT Professional, v. 22, issue 6, p. 59-66

Was this content written or created while at USF?

Yes

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