From Data Swamp to AI-Ready Data Foundation: What it Actually Takes
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Can your AI agent find your data, understand what it means, and access only what it's allowed to — without anyone's help?
In almost every conversation we have with technology leaders, the same problem surfaces. The AI investment has been made. The data structure underneath was never ready for it. Siloed sources, no discoverability, unstable access controls, formats that work for humans but break models.
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 invited technology leaders and executives from ZoomInfo and other Boston-area companies to work through this together.
The Talk — What "AI-Ready Data" Actually Means and How Far You Really Are
A 10-layer readiness model built from work across dozens of enterprise data environments. Open standards, battle-tested patterns — not vendor frameworks.
What you walk away with:
A concrete score of where your organization stands today
Specific implementation steps for each layer
A clear path forward you can put in front of leadership
No pitches. Just the diagnostic.
After the Talk
Mixer with food, drinks, and a room of technology executives dealing with the same problems — built for real conversation, not networking theater. Then we walk one block to Fenway. Braves vs. Sox, first pitch 4:10 PM.
Hosted by VirtusLab
We've worked inside data environments at Databricks, Airbnb, DHL, and a lot of teams in between. We know what AI-ready looks like and what it takes to get there.
Part of #BOSTechWeek — a week of events connecting the Boston tech ecosystem.
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