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Why I do data engineering AND governance AND generative AI.

Valerian Valerian
March 19, 2024
2 min read
Table of Contents

“You should stick to one thing! How can you be building AI, doing data engineering, and handling data governance all at once?” You might think specializing in one area is best. You may wonder how I manage to do all at once.

People think it’s smarter to just pick one lane and stay in it. They wonder how I manage to keep all of these in sync.

Let me show you why it’s all tied together.

It is all connected

First off, AI changes the game on the slow, manual work that drags your business down. Smart algorithms cut out wasted time and limit mistakes. This is about making your operations dependable.

Next is data engineering. We’re talking about getting your data set up right so it’s clean, organized, and ready to go. Without this, AI can’t do much of anything. You have to build the structure before you can use it to its fullest.

And then there’s data governance. This is where you make sure data isn’t just there to use but that it’s accurate, secure, and used properly. You need to trust your data, and so do your clients or regulators.

These are the three pillars

When you put them together, you’re transforming how your whole operation works. It goes from being clunky and slow to something sharp and efficient. Less waste, fewer mistakes, and better results.

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That’s why I don’t pick just one. All these pieces support each other, making it possible to turn organizations into lean, competitive machines. That’s what I do, and it’s how I help companies finally get a grip on what’s holding them back.

If you’re interest, don’t hesitate to call me!