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E7:利用数据的力量来展示面对严重中断的弹性.pdf

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1、Harness the Power of Data to Demonstrate Resilience in the Face of Severe DisruptionMay 6-8,2024|Charlotte,NCSean McLaughlin Fusion Risk ManagementDavis DeRodes Fusion Risk ManagementWhat will we cover in this meeting?The value of using AI to simulate severe yet plausible scenariosChallenges with tr

2、aditional testing methodsHow to get started using AI in your program123We need you!We need you!We will use Menti during this session so lets get prepared for that!Go Enter the code3530 8143Your speakerPrincipal Product ManagerFusion Risk ManagementSean McLaughlinYour other speakerLead Data Scientist

3、Fusion Risk ManagementDavis DeRodesWhy are we here today?Scenario testing is a must-have capability for all resilience programs.Why?It evaluates your organizations ability to adapt,recover,and thrive through disruptions Focuses on understanding complex dependencies Sometimes it just required(regulat

4、ions)Because events happenSo,what is scenario testing?A scenario test is a simulation that evaluates an organizations resilience by creating and analyzing hypothetical risk events or situations.It helps identify vulnerabilities and improve preparedness.Question time!What are we hearing out there?I d

5、o not know what scenarios make sense to test againstI do not have the(right/enough)data to scope for a scenario test to validate my strategiesI have difficulty getting engagement to run a scenario or dont know who to engageI need examples or guidelines for creating or running a scenario for products

6、/servicesI do not know what to do with the results of a scenario once completedThing are constantly changing,and it is difficult to keep up with Organizations are complex,process dependent and data is not connectedPeople are busy,testing is laborious,and the context is not focused enough to rational

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本文主要讨论了如何利用人工智能(AI)进行场景测试,以提高组织的抗风险能力。文章指出,传统的测试方法存在挑战,而AI能够模拟出看似合理且严峻的场景,帮助评估组织的韧性。场景测试通过模拟假设的风险事件,识别脆弱性并提高准备度。AI的应用可自动评估影响容忍度,发现数据中的盲点,并基于数据建立桌面演练。文章强调了数据的关键性,建议从报告和商业智能工具开始,逐步拓展AI的应用范围。同时,AI不是万能的,它不能解决所有问题,但当与合适的合作伙伴一起学习时,它能提供巨大的价值。核心数据包括:场景测试的价值、AI在模拟场景中的应用、数据驱动的模拟与传统桌面演练的比较,以及AI的三种应用类型:生成式AI、机器学习和模拟。
"AI在场景测试中的作用是什么?" "如何利用数据模拟场景以提高组织韧性?" "在实施AI时,有哪些关键领域可以获得帮助?"
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