Best Practices for Building User-Facing AI Systems on Databricks

Integrating AI agents into business systems requires tailored approaches for different maturity levels (crawl-walk-run) that balance scalability, accuracy and usability.

This session addresses the critical challenge of making AI agents accessible to business users. We will explore four key integration methods:

• Databricks apps: The fastest way to build and run applications that leverage your data, with the full security and governance of Databricks
• Genie: Tool enabling non-technical users to gain data insights on Structured Data through natural language queries
• Chatbots: Combine real-time data retrieval with generative AI for contextual responses and process automation
• Batch inference: Scalable, asynchronous processing for large-scale AI tasks, optimizing efficiency and cost

We'll compare these approaches, discussing their strengths, challenges and ideal use cases to help businesses select the most suitable integration strategy for their specific needs.