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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

# Stages of an AI project

An organization progresses through several stages while developing minimum viable products to becoming proficient in AI. The management team provides strong support and focus, allowing the organization to develop a high-performing AI culture.

Organizations can use AI to gain a competitive advantage, transforming AI into an innovation strategy. This is where true digital transformation and disruption occur. Organizations that use AI progress from predictive AI to prescriptive AI.
 



Let’s recap what we've learned so far and figure out the next step in our AI journey.

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What’s Next?

Stages of an AI project