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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

## Pros

Here are a few reasons why the Scrum framework is ideal for introducing an AI project into an organization:

- We can make changes before the next sprint if the priorities of the product owners or stakeholders change. 
- It’s transparent, and the teams have the opportunity to communicate and collaborate during their daily Scrum meetings.
- The review and demo meetings allow teams to demonstrate what they have accomplished during a sprint cycle.







# Pros

Here are a few reasons why the Scrum framework is ideal for introducing an AI project into an organization:

- We can make changes before the next sprint if the priorities of the product owners or stakeholders change. 
- It’s transparent, and the teams have the opportunity to communicate and collaborate during their daily Scrum meetings.
- The review and demo meetings allow teams to demonstrate what they have accomplished during a sprint cycle.







We’ll talk about the advantages and disadvantages of using the Scrum framework for AI projects.

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Pros and Cons of the Scrum Framework

Pros