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Explore how IBM's Semantic Layer transforms data accessibility by enabling business users to query complex structured data using natural language instead of traditional SQL. Discover the technical architecture behind generative AI-powered Text2SQL transformations, including model selection, semantic parsing, schema linking, enrichment pipelines, and query optimization techniques. Learn through real-world demonstrations of conversational analytics agents that deliver deeper business insights from enterprise data. Examine the deployment architecture on IBM's Multi-Cloud SaaS Platform utilizing AWS services and Red Hat OpenShift infrastructure. Gain insights into how this solution empowers both technical and non-technical users to make data-driven decisions more efficiently, bridging the gap between complex data systems and business stakeholders who need timely access to analytical insights.
