Microsoft backs standardization of business metrics with Snowflake
Summary
Microsoft is collaborating with Snowflake and other partners to establish a standard for business metrics that will streamline how AI tools interpret company data. This initiative marks a significant shift from Microsoft's previous strategy to protect its Fabric platform from competition. The effort focuses on advancing Apache Ossie to create a neutral standard for exchanging semantic metadata, which will enable consistent metrics across various AI and business intelligence platforms. Additionally, it addresses challenges related to AI agents' ability to reliably interpret enterprise data by allowing business logic to be defined once and reused across different systems.
Analysis
Microsoft: Microsoft is a major technology company offering cloud computing, enterprise software, analytics platforms like Fabric, and AI tools including Copilot. It has recently affirmed commitment to Apache Ossie, a community effort for vendor-neutral semantic metadata standards. This marks a shift from earlier approaches focused on protecting its Fabric platform's ecosystem. Snowflake: Snowflake provides a cloud data platform with capabilities for governed semantic views, Horizon Context, and AI integration through tools like Cortex. It helped found Apache Ossie to promote interoperable business definitions across analytics and AI systems. The company is collaborating closely with Microsoft on cross-platform semantic conversion without duplicating data. AI Context Layer: The collaboration supports defining business logic once for reuse in agentic experiences, addressing inconsistencies that hinder AI agents from reliably interpreting enterprise data. Platform Interoperability: Recent announcements highlight bidirectional converters between platforms like Power BI and Snowflake Semantic Views, allowing shared semantics without moving underlying data. Standardization Initiative: Microsoft and Snowflake are advancing Apache Ossie to create a neutral standard for exchanging semantic metadata, enabling consistent business metrics across different AI and BI platforms.
Categories
techai
Related sources
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