Snowflake, Salesforce, and others announce the Open Semantic Interchange, a vendor-neutral standard for how business data is defined and shared across platforms
and how it sets up businesses to succeed: [link] @snowflake : AI adoption won't scale without interoperability. That's why Snowflake and industry-leading partners including @Salesforce, @BlackRock & @dbt_labs are launching the Open Semantic Interchange—an open standard to cut silos, boost efficiency, and accelerate AI. Learn more 👇 @snowflake : The $1T AI opportunity isn't just hype—it's a call to action. Snowflake is powering the data backbone for enterprise AI, helping leaders like BlackRock & Tableau turn big challenges into bigger wins. Ready to unlock the future? 🚀❄️ Michael Nuñez / @michaelfnunez : New: @Snowflake @Tableau @Salesforce @dbt_labs (with @BlackRock) debut Open Semantic Interchange—a shared standard for business data to scale AI. 🧩🚀 Full story: https://venturebeat.com/... #AI #Data Sridhar / @ramaswmysridhar : Fragmented data is a major roadblock to scaling AI. 🚩 @Snowflake , alongside our industry and ecosystem partners, is tackling it head-on with the Open Semantic Interchange (OSI), a new initiative to create a universal framework for semantic data. We've teamed up with industry leaders including @salesforce , @BlackRock , @dbt_labs , and more to make it possible for your data to speak the same language and enable trustworthy, scalable AI... Barry McCardel / @barrald : As semantic models take off, we're joining forces with to launch the Open Semantic Interchange. Will we successfully create a new standard? Will it avoid the dreaded xkcd 927 problem? Will the other big data platforms join in? Follow along to find out! https://hex.tech/... LinkedIn: ThoughtSpot : 🚨 Big News! 🚨 ThoughtSpot is proud to be a launch partner in the new Open Semantic Interchange (OSI), an open-source initiative alongside Snowflake. … Patrick Barch : This is a really exiting announcement! A company's metrics and business logic shouldn't be gate kept behind technology vendors' proprietary standards. …
Context & Ripple Effects
OSI extends a long-running push to make enterprise data portable: the Microsoft, SAP, and Adobe Open Data Initiative sought to unite data across their platforms, while open data architectures such as Iceberg and Hudi became enterprise lakehouse foundations.
The distinction is that OSI targets the business definitions layered on top of data—shared semantics that participating platforms can exchange. That makes the effort relevant to Snowflake's AI platform strategy and to customers operating across multiple analytics and business-software vendors.
First-order effects
- Snowflake, Salesforce, BlackRock, dbt Labs, Tableau, and ThoughtSpot gain a common vendor-neutral framework for defining and exchanging business data semantics across their products and customer environments.
- Enterprise users have a prospective route to reduce duplicated metric definitions and semantic translation work when data moves among participating platforms; practical benefits depend on implementation and adoption.
Second-order effects
- Data-platform and BI vendors that do not participate face pressure to support OSI-compatible semantic exchange or make a case for proprietary layers, particularly where customers use mixed stacks.
- AI products connected to enterprise data can benefit from more consistent business context across systems, complementing Snowflake's earlier Claude integration for Cortex Agents rather than solving model access alone.
Third-order effects
- If broadly adopted, semantic interoperability could shift competition from controlling business definitions to the quality of data governance, analytics, and AI experiences built on shared definitions.
- The initiative is another test of whether multi-vendor data standards can achieve durable implementation momentum, rather than remaining a partner-led interoperability pledge.
The trend: Enterprise AI infrastructure is moving from isolated model integrations toward shared data and semantic layers that can operate across vendor boundaries.