Implementing an End-to-End Machine Learning workflow with Azure Data Factory

Data pipeline

In this article, I will walk through an entire Machine Learning Operation Cycle and show how to establish every step of the way using Azure Data Factory (ADF). Yes, it is possible, easy, and extremely reliable. As a bonus, it also automatically sets you up to receive alerts for any sort of data anomalies occurring throughout the process, so you do not have to worry about monitoring the workflow manually.

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Is AI intelligent enough to solve Humanity’s problems?

Life finds a way

Every day at work I wrote Machine Learning algorithms, managed existing models, automated workflows and I was proud that not only is AI enabling me in performing better, but it is also increasing my organization’s productivity. To my realization, it was not AI, it was years of work that humans have done by using resources that occur in nature. Do not get me wrong, I believe in AI and do not dislike it, in fact, that’s my daily driver of work. I am only against its usage at present, where it is exploiting more resources than it is generating. My idea is to use AI responsibly and use it for the betterment of lives.

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