Databricks Genie Data Democratization at Amadeus | Data + AI Executive Series: Fast 5
Summary
Amadeus uses the Databricks platform to unify structured and unstructured travel data for artificial intelligence applications. The company embeds Databricks Genie into its Amadeus Max tool, allowing airport ground operations staff to query data using plain language.
Summary generated by brickster.ai from the video transcript.
More from Databricks
NewsBritish Red Cross Modernizes Emergency Response with Databricks
The British Red Cross uses the Databricks platform to unify fragmented structured and unstructured data through Unity Catalog for secure and centralized governance. This modern data architecture enables the organization to process millions of fundraising and emergency response records in near real time to improve operational efficiency and humanitarian aid.
TutorialsHow Syngenta turns AI experimentation into business impact | Data + AI Executive Series: Fast 5
Syngenta uses a Databricks data foundation to curate a manageable set of AI models for discovering new crop protection molecules in silico. The company maintains human oversight for all high stakes agricultural decisions while prioritizing business value over technology experimentation.
TutorialsHow to Connect Your Coding Agent and IDE to Databricks Compute | Databricks SSH Tunnel Demo
Databricks workspaces can be connected to local IDEs and coding agents via an SSH tunnel using the Databricks CLI or IDE extensions. This setup allows developers to write code, use AI coding agents, and run workloads on remote Databricks compute while keeping workspace files automatically synchronized.
Tutorials2. AI Agent Policies: How to Control What Agents Can Do
AI agent policies sit between agents and their tools to evaluate actions and enforce spending limits, tool usage restrictions, and risk scores. Using the open-source Omnigent framework, developers can configure these policies to automatically pause execution and require human approval when thresholds are crossed.
News1. AI Model Routing: How Smart Routing Picks the Right LLM
Smart routing evaluates individual development tasks separately to assign them to the most cost-effective capable language model. The approach automatically splits work across different models and runs agents in parallel to build applications more efficiently.
NewsDatabricks LakeFlow Designer: Visual Pipelines, Real Code
LakeFlow Designer is a visual no-code tool for building governed data pipelines that generates transparent SQL or Python code. Recent releases add AI-powered operator search, on-demand custom operators, direct table transformations, email notifications, and built-in visualizations.