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  • Enterprise AI

Domo Joins Open Semantic Interchange to Advance AI Data


Domo Joins Open Semantic Interchange to Advance AI Data
  • by: Source Logo
  • |
  • November 25, 2025

Domo has announced it is joining the Open Semantic Interchange (OSI), an open-source initiative backed by Snowflake to create a universal specification for standardizing data definitions. The OSI aims to eliminate the chaos of conflicting metrics by providing a vendor-neutral standard for unifying data semantics across different platforms and tools. This collaboration is designed to accelerate data interoperability, streamline operations, and help organizations fuel AI innovation with consistent, trusted data.

Quick Intel

  • Domo joins the Open Semantic Interchange (OSI) initiative led by Snowflake.

  • OSI establishes a universal, vendor-neutral standard for data semantics.

  • The goal is to eliminate conflicting metrics across different data tools.

  • It ensures consistent definitions in dashboards, AI models, and notebooks.

  • This is a critical step to making organizational data AI-ready.

  • The initiative simplifies data operations and fosters ecosystem innovation.

Solving the Problem of Fragmented Data

In modern data ecosystems, business metrics and definitions often become fragmented across various platforms like BI tools, notebooks, and machine learning models. This leads to conflicting insights and undermines trust in data. The OSI initiative directly addresses this by providing a community-driven standard for semantic model sharing, ensuring that a "customer" or "monthly revenue" is defined consistently everywhere.

Enabling the AI-Ready Data Foundation

A core driver for this standardization is the need for reliable data to power AI and generative AI applications. Inconsistent data semantics can lead to flawed AI model outputs and unreliable AI agents. By aligning on shared definitions, organizations can ensure their data is prepared for the next generation of AI applications, enabling agents and apps that drive accurate and trustworthy business outcomes.

A Collaborative Industry Effort

The OSI is a collaborative effort involving ecosystem partners from across AI, business intelligence, and data governance. As a member, Domo is contributing to building a transparent standard that promotes clarity and consistency across the entire data toolchain. This vendor-neutral approach gives organizations the flexibility and efficiency needed to build a future-ready data infrastructure without being locked into a single platform.

"This is about eliminating the chaos of conflicting metrics," said Ben Schein, Chief Analytics Officer at Domo. "OSI will help our customers go from fragmented data definitions to broadly understood insights, a critical step to ensuring their data is AI-ready."

"Unlocking the full potential of data and AI requires a common foundation, and the Open Semantic Interchange is a critical step in building that bedrock," said Josh Klahr, Director of Analytics Product Management at Snowflake.

The backing of the OSI by industry leaders like Domo and Snowflake signals a significant move towards greater data interoperability. By establishing a universal semantic layer, the initiative is poised to reduce complexity and unlock new possibilities for innovation, ultimately helping organizations build a more coherent and powerful data ecosystem for the AI era.

About Domo

Domo is an AI and Data Products platform that helps companies of all sizes leverage data and AI to drive value in today’s data-driven world. Built around our customers’ preferred data foundation, powered by our award-winning Domo.AI solution, and enriched with our partner ecosystem, the Domo platform enables users to prepare, visualize, automate, distribute, and build end-to-end data products that provide solutions across the entire data journey. From hydrating your data foundation, to building fully embedded applications that can be shared with your employees and customers, to deploying AI models across a variety of providers, Domo gives users the ability to build data products that generate measurable value for the business.

  • DataAISnowflakeInteroperabilityData Governance
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