Semantic Layer and AI: The Future of Data Querying with Natural Language

The integration of a semantic layer with artificial intelligence is crucial for businesses to access data in a unified way, enabling natural language queries and providing a structured bridge between data sources and business requirements. The combination of declarative metrics definitions, large language models, and metadata management enables AI capabilities, promising higher-quality results from natural queries, human interaction, and data insight. This integration is particularly useful for non-technical users to access complex business insights through simple questions, enhancing data exploration and benefiting from faster insights without technical bottlenecks. The semantic layer serves as a foundation for GenAI, providing a unified platform for data governance, security, and access control, while also enabling rapid iteration, making it more approachable for business experts and feeding into accurate outcomes. As AI continues to evolve, the integration of semantic layers with AI capabilities promises to democratize data access while maintaining control and accuracy, enhancing business intelligence capabilities and preserving rigorous standards required for enterprise-scale operations.