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Can your AI agent find your data, understand what it means, access only what it's allowed to, without human help?
In almost every conversation we have with technology leaders, the same problem surfaces. The AI investment has been made. The data and infrastructure underneath it was 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 underneath it are.
This session is for CDOs, CTOs, VPs of Data and Engineering, and Heads of AI who are closing that gap inside their own organizations.
We ran this session at Boston Tech Week in May for a room of 50 data and engineering leaders. It went long, because nobody wanted to stop asking questions.
The Talk
We'll walk 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.
No pitches. Nobody will ask you to look at a demo. Just the diagnostic.
After the Talk
Open bar and food, and a room of technology executives dealing with the same problem. We're keeping the room small so the conversations are worth having.
Agenda
3:30 4:00 Doors, drinks, registration
4:00 4:45 The talk + Q&A
4:45 6:00 Mixer
Hosted by VirtusLab
We've worked inside data environments at Databricks, Airbnb, DHL, Iterable, Altos Labs, and a lot of teams in between. We know what agent-ready looks like from the inside, and what it costs to get there. www.virtuslab.com
This event is a part of #SFTechWeeka week of events hosted by VCs and startups to bring together the tech ecosystem. Learn more at www.tech-week.com." data-next-head="
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