Data Punkers 17: AI Needs Better Data

We would like to invite you to the next meeting of our data community **Data Punkers**,
which this time will focus on why **AI needs better data** — and how it looks in practice 🤖📊

We are waiting for an evening dedicated to the real deployment of AI in companies — from the first steps to production solutions.
No theory off the table — just concrete experiences of people who are actually using AI today.

Short lectures, concrete experiences and then classic community networking.

**💡 PROGRAM**

**🤖 AI in data: How we started it at Shoptet and what we found out along the way**
*[Aleš Tygl](https://www.linkedin.com/in/ales-tygl/), Head of Data, Shoptet*

How at Shoptet they approach AI readiness as a process, not a one-off project.
Aleš will share concrete experiences with the implementation and adoption of AI agents and show where the line is between hype and reality.

**🤖 100k+ requests per month: How to control AI**
*[Adam Dobiáš](https://www.linkedin.com/in/adamdobias/), Data Director, Dataio*

How to build your own AI pipeline that can handle a large volume of requests while remaining fully under control.
Adam will show why they decided to move away from black-box solutions, how their approach to accuracy and auditability works — and what running AI in production entails.

**🤖 PBI Speedrunner or How we stopped clicking dashboards and let the agent do it**
*[Luboš Vaindl,](https://www.linkedin.com/in/lubo%C5%A1-vaindl-b85351104/?skipRedirect=true) Data Engineer, Revolt BI*

How to use AI to speed up your work and focus on what really matters.
Luboš will show why Copilot alone is not enough, what AI can do better than humans today, and where it still has its limits.

**🤖 How to get AI into the daily functioning of a company**
*[Tiep Luu Danh](https://www.linkedin.com/in/tiep-luu-danh/), Chief Product Officer, Vilgain*

How to manage data platform migration and at the same time start working meaningfully with AI.
Tiep shares experiences with transitioning to a modern data architecture and deploying AI agents in practice — what it entails, where it brings the most value, and what to watch out for.

📅 **When:** 27\. May 2026
🕔 **Open door:** 17:00
🎤 **Start of lectures:** 17:30
📍 **Where:** [Shoptet, Pod Dráhou 1637/6, Prague 7 (Port7, building E3)](https://share.google/4oLqceg6bgY9VSKom)

We look forward to seeing you!
**Data Punks**