Which BI tools give each team its own AI context?

Quoted from Databricks’s docsA Genie Agent is a domain-specific natural-language chat interface in Databricks where users ask questions of their data and get back SQL queries, results tables, and visualizations. Data analysts curate each agent with datasets registered to Unity Catalog, example SQL queries, SQL expressions for business semantics, and text instructions tailored to the organization's terminology.

Quoted from Snowflake’s docsPrefer multiple semantic views when you have distinct business domains that don’t need to be joined, or different user groups that need different views of the data.

Quoted from Omni’s docsThis allows you to personalize the context for each user.

Quoted from Hex’s docsExpose only the fields relevant for a particular analysis or audience

Quoted from Sigma’s docsYou can add AI context to a data model to help Sigma Assistant better understand how to use your data model as a data source.

Quoted from BigQuery’s docsIf your agent requires more than 20 data sources, is used across teams that have different metric definitions, or prioritizes one type of result at the expense of another, consider creating additional agents.

Quoted from Looker’s docsAgent specialization: Rather than using the single generic interface of a conversation, you can create specialized agents for different business units, such as a Revenue Agent or an Ops Agent.

Quoted from Tableau’s docsBusiness preferences apply globally across the entire knowledge graph.

Quoted from Power BI’s docsProvide instructions about the semantic model that help Copilot understand your business, terminology, and how to prioritize the data in the model.

Quoted from Metabase’s docsWrite descriptions to provide context, define terms, and explain business logic.

Quoted from Alteryx’s docsAdd custom instructions to guide the agent's behavior and analysis approach.

Quoted from MotherDuck’s docsWhen your application connects through a service account, access: "user" means private to that service account.

Quoted from Mode’s docsTo retrieve a list of Dataset field descriptions for a given Dataset, send a GET request including the Dataset token to the Dataset field descriptions resource.

Quoted from Redshift’s docsA resource specifies the scope or portion of a data asset to which the custom context is applied.