
Unlocking agentic data engineering with Lakeflow + Genie
Databricks24 June 2026Watch on YouTube
Part of series
Ep. 9 · Customerlake Databricks Agentic
View the seriesDescription
Data engineering is a messy process, and the growth of AI apps and agents is adding more complexity. The data that AI needs is stored all over the enterprise. Previously, companies had to rely on brittle, expensive pipelines to move this information. But Lakeflow make it easy to turn raw data stored in these systems into insights and action. At the 2026 Data + AI Summit, Bilal Aslam, Sr. Director of Product Management at Databricks, shared updates to Lakeflow and introduced Genie ZeroOps, an AI agents for data and AI operations. Learn more: https://www.databricks.com/blog/introducing-genie-zeroops 00:00 —Data engineering and the "messy middle" 02:21 — Simpliyfing the data stack 03:18 — Building an open data foundation for AI with Lakeflow 04:50 — Now available: Lakeflow Designer 05:40 — Lakeflow Connect's growing ecosystem 06:18 — Ditching Kafka with Zerobus Ingest 06:57 — Updates to Lakeflow Jobs 08:47 — Challenges to using AI in data operations 12:34 — Introducing Genie ZeroOps with live demo 17:23 — What Genie ZeroOps means for data engineers Presenters: Bilal Aslam, Sr. Director of Product Management, Databricks
What you'll learn
- Lakeflow simplifies data integration by transforming raw data from various enterprise systems into actionable insights without relying on brittle, expensive pipelines.
- Genie ZeroOps is an AI agent that automates data and AI operations, helping data engineers solve challenges in AI implementation.
- Lakeflow Designer, Lakeflow Connect with expanding ecosystem, and Zerobus Ingest replace traditional tools like Kafka for more efficient data operations.
- The 'messy middle' of data engineering is solved by building an open data foundation that AI applications can use directly.
- AI agents transform data engineering work by automating routine tasks and reducing the complexity of distributed data systems.