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.
Was this content written or created while at USF?
Yes
Citation / Publisher Attribution
IT Professional, v. 22, issue 6, p. 59-66
Scholar Commons Citation
Unhelkar, Bhuvan and Gonsalves, Tad, "Enhancing Artificial Intelligence Decision Making Frameworks to Support Leadership During Business Disruptions" (2020). School of Information Systems and Management Sarasota Manatee Campus Faculty Publications. 108.
https://digitalcommons.usf.edu/qmb_facpub_sm/108
