Stop Maintaining, Start Shipping: Reclaim 60% of Engineering Time with Autonomous Data Ops

Part 2 of The Agentic Advantage. Two senior data leaders explain how they keep production pipelines running at scale and move engineers from maintenance to shipping data products.

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Engineering teams can lose as much as 60% of their work week to maintenance: 2AM fixes, decoding tribal knowledge during outages, and chasing numbers that don't match. Hiring alone won't fix that.

In part two of The Agentic Advantage, Julian Wiffen, Chief of AI and Data Science at Matillion, talks with Thomas Mazzaferro, 4x Top 100 CDO, and Emeka Igwilo, CDO and VP, Asset Intelligence and Digital Innovation at Southern Company Gas. They share how they run production pipelines at scale and where agentic patterns pay off.

You'll hear:

Where engineering time really goes, and why context and ownership matter more than the pipeline code.
How to capture tribal knowledge and business definitions instead of losing them when people move on.
Why data engineers are becoming data product managers who work with the business.
Why you shouldn't automate chaos, and how to start with a messy, undocumented estate.

The session closes with a live demo of Maia's agentic data ops: root cause analysis on a failed pipeline, downstream impact, an automated fix for your review, and end-to-end lineage.