Key takeaways
- Launch Open Semantic Interchange to standardize data semantics across AI and business intelligence applications.
- Establish a vendor-neutral semantic model to enhance consistency in defining business logic.
- Address barriers to AI adoption by creating a common framework for interpreting business metrics.
- Support a coalition of tech vendors to improve interoperability and reduce operational complexity.
- Build trust in AI insights through a unified semantic framework that maintains meaning across platforms.
Snowflake, along with Salesforce, BlackRock, dbt Labs, RelationalAI and several other partners, on Tuesday launched the Open Semantic Interchange (OSI), an open-source initiative aimed at standardising fragmented data semantics across platforms and tools.
The initiative introduces a vendor-neutral semantic model specification designed to create consistency in how business logic is defined and shared across artificial intelligence (AI) and business intelligence (BI) applications. The companies said the move addresses one of the biggest barriers to AI adoption: the lack of a common framework for interpreting business metrics and metadata.
Christian Kleinerman, EVP of product at Snowflake, said the effort is about solving a foundational issue. “With the Open Semantic Interchange initiative, we are proud to be leading the charge alongside our partners to solve a foundational challenge for AI — the lack of a common semantic standard. This initiative reflects the industry coming together, not competing, to solve shared challenges and build a more connected, open ecosystem for all,” he said.
The OSI is being supported by a wide coalition of technology vendors and ecosystem players, including Alation, Atlan, Blue Yonder, Cube, Elementum AI, Hex, Honeydew, Mistral AI, Omni, Select Star, Sigma, and ThoughtSpot. The group aims to improve interoperability across tools, reduce operational complexity, and accelerate the adoption of AI and BI by creating a universal specification for semantics.
Southard Jones, chief product Officer at Tableau, described the initiative as critical for building trust in AI insights. “By co-leading the Open Semantic Interchange with Snowflake and our partners, we’re building the foundation every AI agent and BI application needs: a common semantic framework that preserves meaning across platforms. This is the Rosetta Stone for business data,” he said.
Ryan Segar, chief product officer at dbt Labs, said the initiative will help practitioners work more effectively. “By creating a universal language for data definitions, this open source initiative will help data practitioners ensure consistency and reliability, which is essential for scaling AI initiatives,” he said.
From a financial industry perspective, BlackRock stressed the importance of interoperability. “We are excited to be part of the Open Semantic Interchange to help establish a common, vendor-neutral specification that will not only streamline data exchange but also accelerate the adoption of AI and business intelligence applications across the financial industry,” said Diwakar Goel, global head of Aladdin Data at BlackRock.
The initiative signals a shift away from siloed, single-vendor approaches and toward a future built on collaboration and open standards. With more participants expected to join, the OSI aims to lay the foundation for trusted and scalable AI adoption.
