Frontier AI models can reach 95%+ accuracy on a single, clean dataset. But real enterprise data is never clean or simple. It spans multiple sources, domains, dimensions, and business contexts. Even the same entity, whether “customer,” “product,” or “revenue,” means something different in every system. Maintaining 95%+ accuracy through that ambiguity is the real test of agentic BI. 

Enterprise questions rarely live in a single dataset. They often require connecting Salesforce, SAP, ServiceNow, product telemetry, and cloud data platforms while spanning sales, finance, operations, customer support, and other business domains. Accurately connecting these sources and domains becomes the primary obstacle to enterprise analytics. 

Powered by WisdomAI, Teradata Agentic BI introduces an Adaptive Context Engine that continuously extracts, governs, and routes business semantics from structured and unstructured data.

Key capabilities include: 

• Multi-source intelligence: Connect and reason across Salesforce, SAP, ServiceNow, cloud data platforms, telemetry, and enterprise applications. 
• Cross-domain analytics: Combine customer, product, financial, operational, and support data into a single analytical experience. 
• Unified business context: Ground analytics in shared business definitions, relationships, and organizational knowledge. 

Join Teradata on November 10 for a live head-to-head demonstration of a complex enterprise analytics query run on a standalone frontier LLM versus Teradata Agentic BI. See firsthand how adaptive business context enables 95%+ accuracy across multiple data sources, business domains, and enterprise knowledge systems.