Qlik has officially joined the Open Semantic Interchange (OSI), an open-source initiative designed to create a universal specification for standardizing fragmented data definitions. By adopting an open, vendor-neutral semantic model specification, OSI aims to improve interoperability across diverse tools and platforms. Consequently, enterprises can now maintain consistent metrics and definitions across dashboards, notebooks, and machine learning models.
Developed by Snowflake, the AI Data Cloud company, in collaboration with leading ecosystem partners spanning business intelligence (BI), data governance, data engineering, AI, financial services, and manufacturing, OSI provides a vendor-agnostic specification for semantic metadata. By enabling seamless semantic metadata exchange, the initiative accelerates AI and BI adoption, streamlines operations, and reduces data complexity. This approach helps organizations unify their data definitions, ultimately supporting more accurate analytics and facilitating data product sharing to drive AI innovation.
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“By joining the Open Semantic Interchange, Qlik is committed to the creation of a universal standard that simplifies data operations and accelerates innovation for the broader ecosystem,” said Sam Pierson, Chief Technology Officer, Qlik. “Our participation ensures that our customers can apply consistent, governed metrics and business definitions across the tools they use, so analytics, AI, and data products speak the same language across the data ecosystem.”
As a member of OSI, Qlik actively contributes to building a transparent, community-driven standard for semantic model sharing. This ensures that business metrics and definitions remain consistent and interoperable across platforms.
“Unlocking the full potential of data and AI requires a common foundation, and the Open Semantic Interchange is the critical step in building that bedrock,” said Josh Klahr, Director of Analytics Product Management at Snowflake. “Our collaboration with partners like Qlik establishes a unified, vendor-neutral standard for semantic data, ensuring clarity and consistency across the entire ecosystem. This initiative is essential for simplifying data operations, fostering innovation, and preparing organizations to build the next generation of AI applications.”
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By providing a transparent, community-driven standard, OSI is set to transform interoperability within the data and AI landscape. Organizations can now simplify data operations, explore new innovation opportunities, and build flexible, future-ready data infrastructures.
“As enterprises expand the number of analytics and AI tools in use, inconsistent definitions and metric drift create real operational and governance friction,” said Stewart Bond, Vice President of Data Intelligence and Integration Software, IDC. “Industry initiatives like the Open Semantic Interchange are an important step toward making semantic metadata more portable across the ecosystem. Vendors with a history of vendor-neutral architectures, including Qlik, are well positioned to support customers who need consistent business meaning across heterogeneous environments.”
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