The Cloud Can Prevent Machine-Learning FailuresThe Cloud Can Prevent Machine-Learning Failures
The cloud gives enterprises an express lane to machine learning.
August 8, 2018

For years, machine learning (ML) has been touted as the next great evolution in enterprise IT. Yet in many cases it's failed to deliver. There are three key reasons for this.
First, the AI aspect of machine learning requires big data that's properly curated. It's no secret that big data has been a challenge for businesses on its own. Thus, the requirement that for ML to work, it requires big data to work -- it simply compounds the issue.
The second hurdle when working on machine-learning projects is the fact that one must understand the current limits of the machine-learning platform and be able to ask the right questions that the ML and AI will be able to accurately answer. The learning curve to gain these skills is steep and there is a global lack of qualified data scientists to fill open roles.
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