Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/50522

Hunch Mining: Intuition Augmented with Cognitive Computing, Analytics, and Artificial Intelligence

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Item Summary

Title:Hunch Mining: Intuition Augmented with Cognitive Computing, Analytics, and Artificial Intelligence
Authors:Nelson, Jim
Clark, Terry
Stewart, Ian
Keywords:Practice-based IS Research
Analytics, Artificial Intelligence, Cognitive Computing, Executive Decisions, Text Mining
Date Issued:03 Jan 2018
Abstract:Hunches are important tools for executives making time-critical highly complex decisions in turbulent environments. However, hunches are also elusive and exist below the surface when not being used for immediate decision making. These latent hunches can be useful for developing analytical models. This paper coins the term "hunch mining" to describe the process of surfacing latent hunches from corporate decision makers as well as workers and using them as models for data analytics. We present the Organizational Hunch Matrix and show how organizations can make the leap from time-consuming manual cognitive analysis to artificial intelligence and analytics driven analysis facilitated by Cognitive Computing Engineers.
Pages/Duration:10 pages
URI/DOI:http://hdl.handle.net/10125/50522
ISBN:978-0-9981331-1-9
DOI:10.24251/HICSS.2018.633
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Practice-based IS Research


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