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Building Advanced Technologies: From Design to Reality

A step-by-step approach When it comes to building the technology for advanced analytics and GenAI platforms, the key lies in a methodical approach. But don’t worry, we don’t need an instruction manual the size of an encyclopedia! Instead, our team dives into focused sprints, where each short cycle lets us develop specific…

🌐 This is an automatic translation of the original post in Spanish. Some nuances may have been lost along the way.

A step-by-step approach

When it comes to building the technology for advanced analytics and GenAI platforms, the key lies in a methodical approach. But don’t worry, we don’t need an instruction manual the size of an encyclopedia! Instead, our team dives into focused sprints, where each short cycle lets us develop specific areas of the platform. From security features to data storage, every detail counts.

Testing, testing and more testing

Imagine you’re in a repair shop, tightening every screw before assembling the engine. That’s how meticulous we are when running rigorous tests at every phase. By making sure the platform not only works but is a safe and reliable haven, we find and fix problems long before they turn into headaches for our users.

Ready for launch

But it’s not all about technique. Clarity in guides and documentation is just as important as development. We want our users to navigate the platform as if they were taking a stroll through the park. With the core of the platform ready, we set up an automated system to manage deployments and updates. And, of course, nobody wants to land in a new world without good training, so we prepare the teams to feel like experts by launch time. Finally, we launch with a small pilot group, making sure everything is in place before opening the floodgates to full production. A carefully planned process for a reliable and robust platform!

Pablo Formoso
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Pablo Formoso

Field notes from the intersection of data, AI, and applied philosophy.

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2025

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