IQ uses two key approaches for validating and maintaining the context: Human Assisted Feedback Loops: Subject Matter Experts (SMEs) review and validate the generated context and SQL, enriching the generated semantics and metrics. Audit Logs and Query History: IQ also...
The following steps occur: An IQ Agent orchestrates the response using multiple agents and specialized tools. The semantic meaning of the query is analyzed and then contextualized to identify appropriate entities and their relationships. A data analytics agent and...
To create or enrich context using Trust3 IQ, connect your data sources such as Databricks, Snowflake, and MySQL, then choose the data assets across those sources. Trust3 IQ automatically builds context from these data sources by: Ingesting and mapping metadata: It...
Access to data alone isn’t enough, you need the context to make sense of the data. Without context, AI agents don’t know what business terms mean, which data sources to trust, or how to interpret relationships between entities. Enterprise context eliminates that...
Enterprise context is the shared layer of knowledge that helps AI systems understand a business the way its people do. It brings together all the elements that define how an organization operates i.e the business definitions, data relationships, governance rules,...
