n today’s fast-paced, data-driven world, accessing and analyzing structured data efficiently is essential for timely decision-making. Yet, traditional SQL-based querying often limits accessibility to technical users. IBM’s Semantic Layer, a key component of the Data Intelligence Platform, eliminates this barrier by allowing business users to interact with complex data using natural language.
In this session, we’ll showcase how IBM leverages generative AI to enrich metadata and drive natural language to SQL (Text2SQL) transformations—empowering users across the enterprise. We’ll explore the technical architecture, including model selection, semantic parsing, schema linking, enrichment pipelines, and query optimization. You’ll see real-world examples of a conversational analytics agent that delivers deeper insights from business data.
This solution is deployed on IBM’s Multi-Cloud SaaS Platform, powered by AWS services and running on Red Hat OpenShift. Whether you're a developer, data scientist, or business stakeholder, this session will demonstrate how IBM and AWS together enable smarter, more intuitive ways to work with data.