From Moving Data to Managing Agents
The role of the data engineer is being rewritten in real time. Agentic AI doesn't just need data gathered and moved; it needs data that's governed, current, explainable, and trustworthy enough for autonomous systems to act on.
Join Qlik VP Dan Potter and Qlik product leader Tim Garrod for a real-world conversation on what it takes to operationalize Agentic Data Engineering inside the enterprise, from the shift from process-driven delivery to intent-driven engineering, and how to keep operational context attached to the workflow as it scales.
You'll walk away with an applied understanding of:
- How agentic AI is changing what's expected of data engineering teams
- Why context, lineage, observability, and governance are now core to the pipeline, not an afterthought
- How trusted data products and runtime quality help AI systems act with confidence
- What it costs to build this right (it might be less than you think, especially if you’re already a Qlik user), and where the ROI shows up
