Successful Approaches to Running AI Projects - Avoiding the Top Reasons Why AI Projects Fail

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Despite the buzz around AI and its potential to revolutionize industries, a surprising 70-80% of AI projects fail.  Why do so many AI initiatives, brimming with promise and potential, end up falling short? In this talk we explore the top reasons for these AI project failures, through real-world experiences and “ripped from the headlines” examples.

We’ll share why many AI projects fail, and the practical ways to navigate these challenges for AI project success, highlighting the project manager’s role in AI projects. Furthermore, we’ll explain how emerging approaches to Trustworthy AI are helping to address a wide range of ethical and responsible AI challenges.

As a way to avoid these common AI project failures, we’ll present the best practice for running and managing AI projects, the Cognitive Project Management for AI (CPMAI) approach. You will learn how to do AI right by applying a step-wise approach/methodology for AI projects, including an AI project template that gives you a straightforward way to adapt CPMAI methodology to your AI projects.

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