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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

## Why do AI projects fail?

Organizations that are new to AI should understand that deploying it isn’t always straightforward. They may only see an ROI (return on investment) after several AI projects have been deployed and when the AI team is more mature and proficient at creating a successful product.




# Why do AI projects fail?

Organizations that are new to AI should understand that deploying it isn’t always straightforward. They may only see an ROI (return on investment) after several AI projects have been deployed and when the AI team is more mature and proficient at creating a successful product.




Let’s find out why AI projects fail and how to prevent that from happening.

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AI Project Failure

Why do AI projects fail?