Contingency Planning
Contingency planning is the process of creating a plan to prepare for unexpected events or situations that may disrupt normal business operations. In data science and artificial intelligence, contingency planning involves identifying potential risks and developing strategies to mitigate them. This includes creating backup systems and data recovery plans in case of system failures or cyber attacks, as well as developing protocols for handling unexpected changes in data or models. Contingency planning is an important aspect of risk management in data science and artificial intelligence, as it helps organizations to minimize the impact of unexpected events and maintain business continuity.
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