1 link tagged with all of: apache ossie + ai + analytics + semantic data models + metric standardization
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Apache Ossie is an Apache Incubator project that defines a vendor-neutral YAML spec for semantic data models. It lets teams declare metrics, dimensions and joins once and share them across BI, analytics and AI tools. This prevents metric drift, cuts integration debt and creates a single source of truth.
- Apache Ossie standardizes metric/dimension definitions in YAML so BI, analytics, and AI tools all reference one shared source of truth instead of redefining metrics per dashboard.
- Over 50 organizations, including Snowflake, Databricks, Oracle, Salesforce, dbt Labs, Qlik, and ThoughtSpot, have joined the effort.
- The spec was renamed from Open Semantic Interchange to Apache Ossie in July 2026, shortly after launching a Financial Services Semantic Working Group in June 2026.
- It embeds AI context instructions so LLMs can ground answers in official business logic, aiming to cut reconciliation costs and eliminate conflicting dashboards.
apache ossie
semantic data models
metric standardization
analytics
ai