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The world is being transformed by artificial intelligence (AI). Many businesses and industries are implementing this technology to improve predictability, streamline processes, and stay ahead of the competition. But introducing AI software and practices isn’t always easy.

In this course, you will learn how to successfully integrate AI into any organization. You’ll learn how to determine whether your organization could fully benefit from AI, as well as the technical capabilities necessary for deployment. You’ll learn how to perform business analysis and present a case for implementation.

Further, you’ll learn project management best practices to help install AI successfully. You’ll use the Scrum framework to build and deploy AI and to maintain the system when in production to collect data and model scenarios.

AI Project Management: Deploying and Maintaining AI for Business

**(True or False)** Data scientists should collect all of the data needed up front.

(True or False) Data scientists should collect all of the data needed up front.

**(True or False)** When data is available, the next task to focus on is cleaning the data.

(True or False) When data is available, the next task to focus on is cleaning the data.

**(True or False)** AI model development and data science normally succeed on the first try.

(True or False) AI model development and data science normally succeed on the first try.

Let’s see what we've learned about data gathering and AI modeling.

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Quiz: Data Gathering and AI Modeling