As organizations expand their investments in AI, analytics, and modern data platforms, maintaining consistent business meaning across systems has become a growing challenge. Without a shared semantic foundation, governance efforts become fragmented, analytics produce inconsistent results, and AI systems lack the business context needed to deliver reliable outcomes.
In this video, you’ll see how ER/Studio 21.1 transforms Enterprise Logical Data Models into reusable semantic assets that can be shared across governance platforms, semantic layers, knowledge graphs, and AI applications. The session demonstrates the new ER/Studio Semantic Generator and explores how organizations can extend trusted business meaning into downstream technologies using industry standards.
You’ll also see how ER/Studio generates semantic layer artifacts for Microsoft Power BI, Open Semantic Interchange (OSI), and dbt, helping organizations reduce semantic drift while creating a consistent foundation for data products, analytics, and AI initiatives.
Whether you’re modernizing your data architecture, strengthening governance, or preparing enterprise data for AI, this session demonstrates how ER/Studio 21.1 helps establish a trusted semantic foundation that scales across the enterprise.
This video is designed for data architects, enterprise architects, data modelers, metadata managers, governance professionals, analytics leaders, and technical teams responsible for building trusted data foundations that support governance, analytics, semantic layers, and AI initiatives.
Jamie Knowles
Product Director of ER/Studio
This video demonstrates the new semantic modeling capabilities in ER/Studio 21.1, including the ER/Studio Semantic Generator and semantic layer generation for Microsoft Power BI, Open Semantic Interchange (OSI), and dbt.
This session is designed for data architects, enterprise architects, data modelers, governance professionals, metadata managers, analytics teams, and organizations preparing enterprise data for AI initiatives.
The ER/Studio Semantic Generator transforms Enterprise Logical Data Models into standards-based semantic assets that preserve consistent business meaning across governance platforms, semantic layers, analytics environments, knowledge graphs, and AI applications.
ER/Studio 21.1 includes semantic layer generation for Microsoft Power BI, Open Semantic Interchange (OSI), and dbt, helping organizations extend trusted business meaning into downstream analytics platforms.
Semantic modeling provides AI systems with consistent business definitions, relationships, and context, helping reduce semantic drift and improving the reliability and trustworthiness of AI-generated insights.
Explore additional ER/Studio resources or connect with our team to learn how semantic modeling, enterprise data architecture, and governance capabilities can support your organization’s analytics and AI initiatives.
