Gabriele Picco, Lam Thanh Hoang, et al.
EMNLP 2021
Scenario Planning is a commonly used Enterprise Risk Management (ERM) technique to help decision makers with long-term plans by considering multiple alternative futures. It is typically a manual, highly labor intensive process involving dozens of experts and hundreds to thousands of person-hours.
We previously introduced a Scenario Planning Advisor prototype (Sohrabi et al. 2018a,b) that focuses on generating scenarios quickly based on expert-developed models. We present the evolution of that prototype into a full-scale, cloud-deployed ERM solution that: (i) can automatically (through NLP) create models from authoritative documents such as books, reports and articles, such that what typically took hundreds to thousands of person-hours can now be achieved in minutes to hours; (ii) can gather news and other feeds relevant to forces in the risk models and group them into story- lines without any other user input; (iii) can generate scenarios at scale, starting with dozens of forces of interest from models with thousands of forces in seconds; (iv) provides interactive visualizations of scenario and force model graphs, including a full model editor in the browser.
The SPA solution is deployed under a non-commercial use license at https://spa-service.draco.res.ibm.com and includes a user guide to help new users get started. A video demonstration is available at https://www.youtube.com/watch?v=Gd4CMKclkBY.
Gabriele Picco, Lam Thanh Hoang, et al.
EMNLP 2021
Elliot Nelson, Debarun Bhattacharjya, et al.
UAI 2022
Thabang Lebese, Ndivhuwo Makondo, et al.
NeurIPS 2021
Maeda Hanafi, Yannis Katsis, et al.
EMNLP 2022