Overview

According to a 2019 report, 85% of AI projects fail to deliver on their intended promises to business. Why do so many projects fail?

Overview - ML Projects

Summary

• ML is still research, therefore it is very challenging to aim for 100% success rate.

• Many ML projects are technically infeasible or poorly scoped.

• Many ML projects never make the leap into production.

• Many ML projects have unclear success criteria.

• Many ML projects are poorly managed.