Using Lightweight Semantic Models to Assist Risk Management in a Large Enterprise

author: Shirin Sohrabi, IBM Thomas J. Watson Research Center
published: Nov. 28, 2017,   recorded: November 2017,   views: 806


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In this paper we summarize our experience and the initial results from implementing and operating IBM Scenario Planning Advisor (SPA), a decision support system that uses lightweight semantic models to assist finance organizations in identifying and managing emerging risk, a category of risk associated with the changes in the global or local economies, politics, technology, society, and others.

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