Data teams often face delays and complexity when building and managing pipelines, especially as volumes and sources grow. AI agents promise to reduce this burden, streamlining the most data-intensive work so you can focus on higher-value tasks.

In this Q&A video, Tim Phillips from The Register speaks with Firat Tekiner of Google about how BigQuery’s new data engineering agents can accelerate data ingestion, cut manual effort, and improve time to insight.

You will learn:

• The challenges of managing data pipelines in 2025
• How AI agents work within BigQuery to automate and optimise workflows
• What these developments mean for roles, responsibilities, and innovation

The discussion ends with a short demo showing how BigQuery’s AI agents can create and run data pipelines from natural-language prompts.

Watch to understand how AI-driven automation can help your organisation unlock more value from its data.