Open Semantic Layer(OSI)

https://gyazo.com/329b4095fd052d82c1f6ffd07345e463

The OSI initiative is a collaborative, open-source effort dedicated to standardizing and streamlining semantic model exchange and utilization across the diverse array of tools and platforms within the data analytics, AI, and BI ecosystem. Our shared vision is to establish a common, vendor-agnostic semantic model specification and query API, promoting unparalleled interoperability, efficiency, and collaboration among all participants. By providing a single, consistent source of truth, this vendor-agnostic standard ensures that your data’s definitions and value remain consistent as they are interchanged between AI agents, BI platforms, and all other tools in your ecosystem, eliminating inconsistencies across your different tools.

課題感

AIエージェントの話もある

目指しているところ

OSIは仕様であり、エンジンではない

参加している企業一覧

情報源

ユーザー企業

メタデータ管理・データカタログ・BI系

BI枠

AIによるサービスを提供する企業

プラットフォーマー

統合型

仕様の目的は以下の通り

Standardization: We aim to establish a uniform language and structure for semantic model definitions, ensuring consistency and ease of interpretation across various tools and systems.

Interoperability: Our goal is to facilitate seamless data exchange and utilization of semantic models between diverse data 　analytics, AI, and BI products and services.

Extensibility: The semantic model will be designed to be adaptable and customizable, allowing organizations and vendors to extend it to meet their specific needs as data requirements, AI, and analytical use cases evolve.

Open Source: We are committed to promoting community participation and collaboration, encouraging innovation, and ensuring the framework remains relevant and effective in addressing current and future challenges in data analytics and AI/BI.

Domain-Specific Models: OSI will simplify the process of combining and leveraging data from various sources by standardizing its semantic representation, leading to more comprehensive and accurate data analysis and data product sharing.

仕様が目指すところ

Improved AI/BI Adoption: By facilitating seamless data exchange and a common understanding across different tools, the OSI enables faster and more effective use of semantic models in AI and BI tools.

Streamlined Data Operations: Reducing the complexity of managing multiple data sources and tools, the OSI provides a common language for semantic data, enabling data teams and customers to focus on higher-value analytical tasks.

Vendor Neutrality: The framework is designed to be independent of any specific data platform, AI tool, or BI vendor, offering unparalleled flexibility and freedom of choice in building robust data analytics and AI/BI infrastructure.

具体的な仕様はまだ未定

情報はなかった

Timeline

2025-10-17 : 最初のワーキングセッション開始