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Enhancing Artificial Intelligence Decision Making Frameworks to Support Leadership During Business Disruptions

机译:增强人工智能决策,使框架支持在业务中断期间支持领导

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摘要

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.
机译:弹性是一个组织的结束能力,可以处理中断并恢复后追发。这种恢复力取决于组织预测中断的能力以及领导地位处理它们的准备。可预测性和准备是数据驱动的世界数字业务世界中数据科学的函数。在数据科学中的人工智能(AI)致力于在制定数据感,预测中断和协助领导者与业务连续性方面发挥至关重要的作用。 AI的深度学习引擎(DLE)是一种从过去决定和后续后果学习的工具。本文讨论了增强人类经验的DLE,导致业务中断预测框架。

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