Agents are no longer experimental. They read, write, and transform enterprise data at machine speed, across structured tables, unstructured files, images, and metadata at once. According to Dun & Bradstreet’s AI Momentum Survey, 97% of organizations report active AI initiatives, but only 5% say their data is adequately ready to support them. Governance built for human-driven workflows does not close that gap.
Join Oz Katz, CTO and co-founder of lakeFS, to see how data version control gives every agent its own isolated, zero-copy branch of enterprise data, ties every action to an immutable data version, and produces a single audit trail across every agent action.
Join this webinar and learn
- What breaks when agents become a new class of data consumer
- How to isolate every agent run on its own zero-copy branch
- How to reproduce and audit every action across multimodal data
- What the stack looks like – live demo, no MCP server or SDK required
