From the course: Artificial Intelligence for Cybersecurity

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Recipe for a successful AI project

Recipe for a successful AI project

- [Instructor] By now, you know the strengths and weaknesses of artificial intelligence. You understand the ways it can be applied to address your security challenges. But what if your organization has no or has limited prior experience with implementing AI? How do you even get started? How do you get your organization ready for artificial intelligence? I would like to share six guiding principles that you should apply to ensure that your security organization is ready for introducing AI. These six principles don't replace your current organizational framework. Rather, they are a supplement to ensure due diligence and set realistic expectations with AI projects. Let's review these principles one by one. First, plan for data readiness. AI and machine learning models are only as good as the quantity and quality of training and test data. It's possible that the data you need may not be in this central place, but rather…

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