Creating a trusted semantic foundation for consistent understanding across people and AI<\/p>\n
Collate, Inc., the Semantic Intelligence Platform and creator of the OpenMetadata project, today announced it is joining the Open Semantic Interchange (OSI), an open source initiative that creates a universal specification for companies to standardize their fragmented data definitions with an open, vendor-neutral semantic model specification. OSI aims to enhance interoperability across various tools and platforms, offering enterprises a vendor-neutral specification designed to provide consistent metrics and definitions across dashboards, notebooks, and machine learning models.<\/p>\n
OSI is an open source initiative created by\u00a0Snowflake, the AI Data Cloud company, in partnership with leading industry and ecosystem partners across multiple domains and industries including business intelligence (BI), data governance, data engineering, AI, financial services, and manufacturing. Its goal is to create a common, vendor-agnostic specification that defines semantic metadata in a standard, open format. By facilitating seamless semantic metadata exchange, the initiative will accelerate the adoption of AI and BI tools to streamline operations and reduce complexity. This in turn allows organizations to unify their data definitions, leading to more comprehensive and accurate data analysis and data product sharing to fuel AI innovation.<\/p>\n
\u201cBy joining the Open Semantic Interchange, Collate is committed to the creation of a universal standard that simplifies data operations and accelerates innovation for the broader ecosystem,\u201d said\u00a0Harsha Chintalapani, co-founder and CTO of Collate.\u00a0\u201cWe built our Semantic Intelligence Platform on open standards through OpenMetadata. We look forward to expanding that work with Snowflake and the OSI community to create a shared, trusted semantic foundation for analytics, governance, and AI.\u201d<\/p>\n
As a member of OSI, Collate is helping to build a transparent and community-driven standard for semantic model sharing, ensuring that business metrics and definitions remain consistent and interoperable. Collate enables OSI semantics to be applied consistently across the full data lifecycle\u2014from discovery and quality to governance and AI.<\/p>\n
\u201cUnlocking the full potential of data and AI requires a common foundation, and the Open Semantic Interchange is the critical step in building that bedrock,\u201d said Josh Klahr, Director of Analytics Product Management at Snowflake. \u201cOur collaboration with partners like Collate 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.\u201d<\/p>\n
OSI is poised to revolutionize interoperability within the data and AI ecosystem by providing a transparent, community-driven standard. This collaborative effort simplifies data operations, unlocks new possibilities for innovation, and gives organizations the flexibility and efficiency they need to build a future-ready data infrastructure.<\/p>\n
To learn more about the Open Semantic Interchange visit Snowflake\u2019s blog\u00a0here.The post Collate Joins Industry Leaders to Advance OSI for Data and AI first appeared on AI-Tech Park.<\/p>\n","protected":false},"excerpt":{"rendered":"
Creating a trusted semantic foundation for consistent understanding across people and AI Collate, Inc., the Semantic Intelligence Platform and creator of the OpenMetadata project, today announced it is joining the Open Semantic Interchange (OSI), an open source initiative that creates a universal specification for companies to standardize their fragmented data…<\/p>\n
The post Collate Joins Industry Leaders to Advance OSI for Data and AI<\/a> first appeared on AI-Tech Park<\/a>.<\/p>\n<\/div>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"site-container-style":"default","site-container-layout":"default","site-sidebar-layout":"default","disable-article-header":"default","disable-site-header":"default","disable-site-footer":"default","disable-content-area-spacing":"default","footnotes":""},"categories":[1,38],"tags":[3],"class_list":["post-1052","post","type-post","status-publish","format-standard","hentry","category-ai-and-ml","category-machine-learning","tag-ai"],"yoast_head":"\n