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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

The goal here is to confirm the business case for starting an AI project. Let’s reconsider the example of an e-commerce site. If this is an organization’s primary business, the project proposal could include a recommendation engine that considers the current shopper’s previous purchases. That way, the AI can assess what else customers are likely to buy based on their profiles or  suggest complementary products based on what’s currently in their shopping cart.


Let’s learn about what role product owners and data scientists play in AI adoption. We’ll also find out the best reasons to start an AI project.

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Developing the AI Business Case: Part 1