In this tech-centric era, companies aim to extract maximum business value from their data in order to stay relevant and efficient via data-driven business decisions. In order to do so, they rely on Artificial Intelligence and Machine Learning. In fact, research shows that  artificial intelligence can increase business productivity by 40%! Therefore, it is essential to implement the best tech practices and make the jobs of tech workers easier.

In the year 2020, many new ML and AI tools have been introduced to track data models and control data sets, but the work is still challenging. To optimize the complete ML production lifecycle, we need to bring in automation for the process between modeling and production. In this article, we will talk about that exact solution.

So let’s start:

#devops #machine-learning #data-science #artificial-intelligence

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