What is the purpose of a business glossary in AI data management?

• A. To connect common data across applications under a shared meaning.
• B. To list all training data sources only.
• C. To enforce security roles.
• D. To store model parameters.

Answer: (A)

A business glossary serves as a shared vocabulary that defines data elements and their meanings across the organization. In AI data management, this means standardizing terms, definitions, and data relationships so that data from different applications is interpreted consistently. When models are trained and evaluated on data from multiple sources, a common meaning for key concepts (like customer_id, product category, or timestamp) ensures semantic alignment, improves data quality, and supports reliable data lineage and governance. This alignment helps data scientists discover and reuse data accurately, reduces ambiguity, and facilitates collaboration between business and technical teams.

The other options describe different functions: listing training data sources is too narrow and doesn't address semantic consistency; enforcing security roles pertains to access control and permissions; storing model parameters relates to model artifacts rather than the semantics of the data used for AI.