Meet Ella: Automated Data Observability with AI Agents

Teams spend too much time on test maintenance, incident triage, and metadata cleanup —slowing innovation and adding overhead.

Meet Ella — a new layer of AI agents that automate data quality across your data pipelines.

In this session, we’ll introduce Ella and walk through how her agents:

• Recommend and write missing tests
• Flag gaps in documentation, tagging, and ownership
• Pinpoint root cause and open PRs with fixes
• Optimize queries for better performance and lower costs
• Make metadata searchable and usable

You’ll see a live demo of Ella in action, working inside a real project—so you can understand exactly how these agents operate, how they use your context, and how your team stays in control.

If you're trying to improve quality, Ella shows what it looks like when data quality work gets done—without pulling your engineers off more strategic work.