From a Data Swamp to a Data Agent You Can Trust
Can your AI agent find your data, understand what it means, and access only what it’s allowed to, without human help?
In almost every conversation with technology leaders, the same problem comes up. The AI investment has been made, but the data and infrastructure underneath it were never built for a non-human consumer. Siloed sources, nothing discoverable, two tables with similar names and no label saying which one is current. The model isn’t the problem. The fundamentals are.
In this session we’ll walk through the four Data Agent skills (find, understand, secure, trust) and the ten technical layers each one depends on. Open standards and patterns from real production environments: no vendor framework, nothing that only works on one platform.
We’ve run this talk at Boston and San Francisco Tech Week, and both times it ran long because nobody wanted to stop asking questions.
You’ll leave with:
a practical diagnostic for making your data usable by AI agents
a clear map of which layers you already have and which are missing
concrete first steps you can take without a big upfront investment
Who should join: CDOs, Heads of Data and Data Platform, data architects and engineers, and anyone whose AI agents can’t tell which table is the right one.
This session is part of Can your agents actually ship?, VirtusLab’s evening on making AI work in real software delivery, with a panel on AI adoption and a live demo of VISDOM 2.0.
👉 Join the full event: https://luma.com/1jl45jhq
Speaker: Grzegorz Król, Tech Lead & Data Architect at VirtusLab. Grzegorz believes solid data systems start with a deep understanding of what the business actually needs. He works with organizations to put their business domains at the center of every data initiative, so architectures, models and pipelines reflect how the business really operates.
Hosted by VirtusLab. We help organizations from global brands to fast-growing startups build data platforms and AI systems that actually scale.