New AI Data 'Universal Translator' From Salesforce, Snowflake, Others
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New AI Data 'Universal Translator' From Salesforce, Snowflake, Others
"Competing companies Snowflake, Salesforce, Tableau, Mistral AI, and others have come together to create a standard for sharing data between AI-enabled products. The Open Semantic Interchange (OSI) industry initiative was organized by cloud data storage company Snowflake, along with other firms, and received financial backing from BlackRock. The initiative is intended to be an open ecosystem that facilitates the exchange of data between AI agents, business intelligence platforms, and other tools."
"Solving the problem of bad data in AI deployments One of the significant barriers to the adoption of generative AI is semantic mismatch; that is, different companies often define metrics and terms in different ways. If those terms don't match what an AI was trained on, AI analysis may be inaccurate. Snowflake refers to this as reconciling data definitions and values, and it's the purpose of the OSI standard."
""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," said Christian Kleinerman, executive vice president of product at Snowflake, in a press release on Tuesday. "This initiative reflects the industry coming together, not competing, to solve shared challenges and build a more connected, open ecosystem for all.""
The Open Semantic Interchange (OSI) initiative unites companies including Snowflake, Salesforce, Tableau, and Mistral AI to create a standard for sharing data between AI-enabled products. OSI aims to reconcile differing metric definitions and values across organizations to prevent semantic mismatch that can produce inaccurate AI analysis. Backed financially by BlackRock, the initiative emphasizes five principles: standardization, interoperability, extensibility, open source, and domain-specific models. The group plans an open-source language and structure with semantic metadata defined in a standardized YAML format to enable readability across AI products and reduce time to usable data for businesses.
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