AtScale, the leader in semantic layer technology for analytics and AI, revealed new product innovations and open standards during the 2025 Semantic Layer Summit. The virtual event gathered over 5,000 data leaders to explore how governed, AI-ready analytics are shaping the future of enterprise data. AtScale showcased key platform advancements aimed at boosting trust, speed, and collaboration in data-driven business.
1. Advanced Platform Innovations
- GenAI Platform Integrations: Native integration with Databricks Genie and Snowflake Cortex Analyst ensures AI-generated insights follow governance and business definitions.
- One-Click Modeling: AI-powered automation that scans source data to quickly create models with key metrics and relationships, reducing manual effort.
- Composite Modeling: Facilitates decentralized collaboration by allowing model extensions while preserving a single source of truth.
- Native PGWire Support: Enables seamless plug-and-play connection to modern BI tools like ThoughtSpot, Superset, and Sigma.
- Enhanced Power BI Integration: Supports native DAX and Tabular models for live, governed, and consistent analytics without data duplication.
- In-Memory Aggregates: New caching feature delivering sub-second query performance even on complex workloads.
2. Driving Open Standards with Semantic Modeling Language (SML)
- AtScale introduced Semantic Modeling Language (SML), the industry’s first open-source language for defining and sharing semantic models, aimed at preventing vendor lock-in.
- SML GitHub repository includes prebuilt models, developer SDKs, and CLI tools for syntax validation and deployment.
3. Real-World Use Cases from Customers
- Home Depot: Enabled enterprise-wide self-service analytics on BigQuery with sub-second performance on a 20TB data cube.
- TELUS: Used semantic layers for scalable telecom network analytics and vendor abstraction.
- Vodafone Portugal: Migrated legacy OLAP systems to a cloud-native stack with enhanced performance and governance.
- Blue Mercury and HSBC: Shared best practices for aligning technical and business teams through semantic layers.
4. The Future of Semantic Layers and AI
- Industry leaders from Snowflake, IBM, Databricks, and ThoughtSpot emphasized semantic layers as a critical foundation for trustworthy GenAI and modern BI.
- Bruno Aziza (IBM) highlighted semantic layers as essential for governance, consistency, and business context in AI-driven enterprises.
AtScale’s 2025 Semantic Layer Summit showcased how its innovations and open standards are shaping the future of AI-powered analytics. By advancing semantic layers with automation, integration, and openness, AtScale empowers organizations to scale trustworthy insights, streamline collaboration, and unlock the full potential of enterprise data in the AI era.
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