GoodData.AI Czech Republic

🧑‍💻 Writing the best code used to be the priority. But not so much anymore. AI has changed what good engineering actually looks like.

So, what's taken its place? According to GoodData.AI CTO, Jan Soubusta: language skills, deep product understanding, broad architectural knowledge, the ability to direct AI well, and to recognise good output when it comes back.

For Jan, AI shows up across everything he does — software development, architecture design, maintenance, learning, presentations. If there's a task, AI is part of how he approaches it.

The old constraints are mostly gone. Slow onboarding, boilerplate code, and limited parallelism are all handled. Prototyping, large redesigns, and technical debt removal are now faster. He can run five times more tasks in parallel than before.

The parallelism is real. But so is the exhaustion. The human brain wasn't built for this, and Jan is finding that hitting the right balance takes time.

On the product side, the impact is visible. More features, faster. And room to expand into agentic analytics alongside the BI capabilities GoodData.AI has always delivered.

At GoodData.AI, this is what building with AI actually looks like. Not just faster ex*****on but a fundamentally different way of working. Stay tuned for more behind-the-scenes stories from our team.

Big Data & AI World was two days of sharp conversations, big questions, and a few strong coffees.

We met engineers rethinking how AI fits into their data stack, product teams figuring out governance at scale, and everyone asking some version of the same question: how do we make this actually work?

Good to be in the room for it. See you next time! 👋

GoodData.AI is a direct reflection of what we’ve been building: the analytics foundation serious enterprise AI deployments need

Every decision has been heading here.

Welcome to GoodData.AI: https://hubs.ly/Q04fp-Yv0

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Proof of concept: done. Production: still waiting. Sound familiar?

We'll be at Big Data & AI World Frankfurt, May 6–7 (Booth E120), and on May 6 at 14:20, our team is presenting in the Keynote Theater on exactly this challenge: how regulated industries move AI from experimentation to production without sacrificing auditability, security, or control.

If you're in financial services, healthcare, insurance, or the public sector, this session was written for you.

Get your free ticket here: https://hubs.ly/Q04d17pS0