Thales InFlight Experience builds Databricks and Genie AI agents for self-service access to content, system health and passenger data
Thales InFlight ExperienceDatabricks · Databricks Apps · Genie +3
Thales InFlight Experience unified data from 2,000+ aircraft serving 90 airlines into Databricks and built AI agents using RAG, Genie text-to-SQL and custom MCP tools so business users can query data and take actions without analysts. The session describes production challenges: identity propagation, multi-tenancy and tool management.
Overview
Thales InFlight Experience unified data from 2,000+ aircraft serving 90 airlines into Databricks and built AI agents using RAG, Genie text-to-SQL and custom MCP tools so business users can query data and take actions without analysts. The session describes production challenges: identity propagation, multi-tenancy and tool management.
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Inspect the highlighted sourceThe challenge
Thales InFlight Experience business users depended on static dashboards and data analysts to answer questions, which created bottlenecks that slowed decision-making, even though the data, lakehouse and governance were in place.
The solution
Thales IFE unified data from 2,000+ aircraft into the Databricks Data and AI platform and built AI agents on three pillars: RAG with vector search for documentation, Genie text-to-SQL for structured data, and custom MCP tools on top of its APIs for taking actions. The agents are served as Databricks Apps. Production challenges were identity propagation, multi-tenancy across 90 airline customers and tool management at scale.
Reported business value
According to the session summary, moving from static dashboards requiring data analyst support to AI agents reduced decision-making bottlenecks and let business teams take action directly without engineering intervention. No quantified results are stated.
Sources
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