PHILADELPHIA, PA — Qlik announced it has joined the Open Semantic Interchange, an open source effort designed to bring order to fragmented enterprise data definitions as companies expand their use of analytics and artificial intelligence.
The Open Semantic Interchange, known as OSI, is a vendor-neutral initiative created by Snowflake in collaboration with technology partners across business intelligence, data governance, AI, financial services, and manufacturing. The project aims to establish a universal specification for semantic metadata, allowing organizations to apply consistent business definitions and metrics across dashboards, notebooks, and machine learning models.
Qlik said its participation is intended to help customers reduce complexity as they adopt more data and AI tools, ensuring analytics and automated systems rely on the same governed definitions rather than conflicting interpretations of data.
“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, Qlik’s chief technology officer. “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.”
OSI is structured as an open, community-driven standard that allows semantic metadata to be exchanged across platforms without locking users into a single vendor. Supporters say the approach will make it easier for organizations to share data products, streamline operations, and scale AI initiatives without costly rework.
“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.”
Industry analysts say the effort addresses a growing problem as enterprises layer multiple analytics and AI tools onto increasingly complex data environments.
“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 at IDC. “Industry initiatives like the Open Semantic Interchange are an important step toward making semantic metadata more portable across the ecosystem.”
Qlik said its involvement in OSI reflects its broader focus on interoperable, vendor-neutral data architectures, positioning customers to build AI-driven applications on a consistent and trusted data foundation as adoption accelerates across industries.
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