Resilience is an organization's end-to-end capability to handle disruptions and recover postdisruption. This resilience depends on an organization's ability to predict disruptions and the preparedness of the leadership to handle them. Predictability and preparedness are functions of data science in the data-driven world of today's digital business. Artificial Intelligence (AI) within data science is poised to play a crucial role in making sense of data, predicting disruptions, and assisting the leaders with business continuity. AI's deep learning engine (DLE) is a tool that learns from past decisions and subsequent consequences. This article discusses enhancing the DLE with human experience resulting in a business disruption prediction framework.

中文翻译：

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增强人工智能决策框架以支持业务中断期间的领导力

弹性是组织处理中断和中断后恢复的端到端能力。这种弹性取决于组织预测中断的能力以及领导层处理这些中断的准备情况。在当今数字业务的数据驱动世界中，可预测性和准备是数据科学的功能。数据科学中的人工智能 (AI) 有望在理解数据、预测中断和协助领导者实现业务连续性方面发挥关键作用。AI 的深度学习引擎 (DLE) 是一种从过去的决策和后续后果中学习的工具。本文讨论了如何利用人类经验增强 DLE，从而形成业务中断预测框架。