お知らせ • Mar 10
Meta Integration Technology Showcases Metakarta Semantic Hub At Gartner Data & Analytics Summit
Meta Integration Technology, Inc. participated as a sponsor at the Gartner Data & Analytics Summit 2026, taking place March 9–11 in Orlando, Florida. At the event, MITI will present the first public demonstration of MetaKarta Semantic Hub, its new platform designed to unify business semantics across databases, business intelligence (BI) platforms, and emerging AI systems. Attendees can visit Booth #535 in the Analytics & BI Solution Village to see how organizations can define business meaning once and deploy it consistently across their analytics and AI environments. Christian Bremeau, CEO and Simon Dynin, CTO will present a featured exhibitor session titled: AI & BI Semantic Modeling to Engineer Once and Deploy Anywhere. The session introduces a compiler-based approach to enterprise semantics, enabling organizations to engineer metric definitions once and deploy them consistently across databases, BI platforms, and AI systems. Attendees will learn how this approach reduces metric sprawl and semantic drift, accelerates BI modernization, and creates a trusted semantic foundation for AI-driven analytics. At the summit, MITI will showcase the first public demonstration of MetaKarta Semantic Hub, highlighting how the platform reverse-engineers semantic logic from existing BI tools such as Power BI and Tableau, unifies fragmented definitions into a single governed semantic model, compiles semantic logic directly into databases and BI tools, and enables consistent metrics across dashboards, applications, and AI agents. Unlike traditional semantic layers that rely on middleware or proprietary query engines, Semantic Hub acts as a semantic compiler, generating native SQL and platform-specific models directly within enterprise systems. This approach allows organizations to modernize BI environments and prepare data for AI without rebuilding existing analytics platforms. Many organizations today operate with multiple BI tools and hundreds or thousands of dashboards, each containing duplicated or conflicting metric definitions. MetaKarta Semantic Hub addresses this challenge by introducing a centralized semantic engineering layer capable of reverse-engineering semantic logic from existing analytics assets, governing metric definitions in a unified model, and forward-engineering those definitions into the tools enterprises already use. The result is a consistent semantic foundation for BI reporting, analytics applications, and AI-driven data experiences. As enterprises adopt AI-powered analytics and natural language interfaces, the importance of trusted semantic context has become critical. MetaKarta Semantic Hub provides the metadata, definitions, and governance needed to ensure that AI systems interpret enterprise data correctly. By compiling semantic logic directly into the database layer, organizations can ensure that BI tools, applications, and AI agents all operate from the same governed business meaning. Conference attendees are invited to visit Booth #535 for live demonstrations, attend Christian Bremeau and Simon Dynin's featured session, and explore how semantic engineering can modernize BI and enable trusted AI analytics.