Data teams are investing more than ever in AI and analytics. But many still struggle to make their data truly accessible, consistent, and reliable. One major reason? The semantic layer.
Without a curated semantic layer, self-serve AI is a pipedream!
In the latest episode of the The Stacked Data Podcast, I sat down with host Harry Gollop to unpack why the semantic layer is often overlooked, and why it’s so crucial for businesses looking to scale AI and analytics effectively.
We dive into:
- Why so many companies struggle with data consistency and accessibility
- What a semantic layer actually is and why it’s a game-changer
- How it bridges the gap between raw data and real business impact
- The challenges of adoption & why many data teams still don’t have one
- How Euno is tackling this problem head-on!
To quote Harry, “If you’re working in data and your organization is pushing for AI, this is a must-listen.”
Euno what to do ↓
