

Mon, Jun 15
|Moscone Center
databricks Data & AI Summit 2026
We’ll be at the Databricks Data + AI Summit 2026. If you’re working with Databricks and struggling to align business meaning across BI and AI, let’s talk about how MetaKarta Semantic Hub powers consistent, governed semantics—without starting over.
Time & Location
Jun 15, 2026, 9:00 AM PDT – Jun 18, 2026, 5:00 PM PDT
Moscone Center, San Francisco, CA, USA
About the event
Meta Integration Technology will be attending the Databricks Data + AI Summit 2026 at the Moscone Center in San Francisco, June 15–18.
Our team will be on-site meeting with data and analytics leaders who are tackling one of the biggest challenges in modern data environments:
How do you bring consistent business meaning to Databricks across BI, analytics, and AI?
Databricks provides a powerful platform for data engineering, analytics, and AI—but most organizations still struggle with fragmented semantics. Metrics, dimensions, and business logic are defined differently across BI tools, notebooks, and applications, making it difficult to trust and scale AI initiatives.
This is where MetaKarta Semantic Hub comes in.
Semantic Hub enables organizations to:
Reverse-engineer semantic models from existing BI tools and data environments
Unify those definitions into a single, governed semantic model
Deploy consistent business meaning into Databricks for use across notebooks, SQL, and AI workloads
Eliminate conflicting KPIs and semantic drift across tools
Provide a trusted foundation for AI that is explainable and aligned with the business
Rather than replacing your existing tools, Semantic Hub allows you to leverage what you already have—turning your current BI and data landscape into an AI-ready semantic layer.
This is especially relevant for organizations using Databricks for:
AI and machine learning initiatives
Lakehouse architecture modernization
Cross-platform analytics and BI rationalization
If you’re attending the summit and want to discuss how to bring governed, consistent semantics into your Databricks environment, we’d welcome the conversation.
📅 Reach out to schedule time with our team onsite
🤝 Meet with us for a focused discussion on your architecture and AI strategy
