Webinar with Daana

Every data tool seems to be pitching itself as "AI-native" right now. But the teams actually making progress aren't the ones who adopted the newest tools. They're the ones who did the foundational work first: clear data models, explicit semantics, governed metrics.

We sat down with Siavoush Mohammadi from Daana to dig into why that foundation matters more than ever. Siavoush has spent 16 years building data platforms across consulting, insurance, telecom, and beyond. He's seen what breaks, what scales, and what teams keep getting wrong. The conversation with our CEO Johan Baltzar covers the patterns Siavoush has seen across companies of every size, and what it actually looks like to build a platform that holds up as AI becomes a real part of how your organization works with data.

What they covered

• What declarative data engineering actually means and why it matters now
• How semantic clarity is what makes a data platform usable for AI
• What's overhyped in the modern data stack, and what's being overlooked
• What to prioritize over the next 12 months if you're leading a data team