85% of Machine Learning Projects Fail! Here’s How Yours May Actually Succeed

Only 15% of Machine learning projects succeed, or 1 out of every 10 make it to production. 55% of machine learning projects are not even completed. And, only 8% of AI projects are regarded as ‘very’ successful. These are some staggering statistics begging to be noticed by all the organizations out there aiming to launch an effective and bankable ML project.

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Machine Learning 101: 8 Stages of the Machine Learning Workflow

Machine learning, which occurs when an AI tool has the ability to not only follow rules but also improve them, has the potential to help companies enhance the customer experience and boost revenue. In fact, for companies that want to stay competitive, a focus on customer experience is key. The vast majority of organizations (87 percent) say that providing an exceptional customer experience is very important to their business. Why is this? Perhaps because 75 percent of US consumers say that customer experience is an important factor in their purchasing decisions.

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