AgenaRisk uses the latest developments from the field of artificial intelligence and visualisation to solve complex, risky problems. AgenaRisk enables decision-makers to measure and compare different risks in a way that is repeatable and auditable. The AgenaRisk solution includes predictive analytics and scales up to organisational-level risk monitoring and assessment. It is ideal for risk scenario planning.
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References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
- Kurzyk, Dariusz; Glos, Adam: Quantum inferring acausal structures and the Monty Hall problem (2016)
- Zhou, Yun; Fenton, Norman; Neil, Martin: Bayesian network approach to multinomial parameter learning using data and expert judgments (2014)
- Fenton, Norman; Neil, Martin: Risk assessment and decision analysis with Bayesian networks. (2013)