Mosaic AI
Recent items mentioning Mosaic AI across the Databricks ecosystem — releases, news, videos, and community Q&A. Updated hourly.
Recent activity highlights Mosaic AI's role in accelerating real-time applications and model deployment. ERGO Hestia significantly reduced time-to-market for their real-time pricing engine by leveraging Mosaic AI Model Serving with Lakebase 1. Community discussions also show interest in building real-time field sales apps with Mosaic AI 3 and integrating Azure OpenAI v1 API with External Model Serving / Mosaic AI Gateway 2.
Generated daily from the 4 most recent items mentioning Mosaic AI. Click any [N] to jump to the source.
How ERGO Hestia reduced time-to-market with Lakebase and Mosaic AI Model Serving
ERGO Hestia modernized its real-time pricing engine with Databricks Lakebase and Mosaic AI Model Serving, reducing time-to-market by unifying data, features, and decisions for millisecond pricing. This eliminated extraction overhead and fragmented governance from their previous multi-hop architecture, enabling faster model deployment and instant market response.
Azure OpenAI v1 API support for External Model Serving / Mosaic AI Gateway?
Building a Real-Time Field Sales App on Databricks with Lakeflow, Lakebase, and Mosaic AI
Bring Databricks into Kiro IDE with the AI Dev Kit Power
The Databricks AI Dev Kit Power now offers a one-click setup to integrate Kiro IDE with the full Databricks platform, providing AI-assisted development grounded in your workspace's Unity Catalog metadata. This new path, alongside a lighter PAT-based option, ensures your AI assistant writes SQL with actual columns and respects all row, column, and tag-based grants.
TutorialsDatabricks End-To-End Project | Zero-To-Expert | Streaming, AI, Lakeflow, Unity Catalog, AI/BI
This video demonstrates building an end-to-end restaurant analytics platform on Databricks, covering streaming and batch data ingestion, AI-powered sentiment analysis, and dashboard creation. It teaches how to use Unity Catalog, Lake Flow Connect for CDC, Spark declarative pipelines for real-time data from Event Hub, and how to construct a medallion architecture with fact and dimension tables.
NewsGetting GenAI to Production with Mosaic AI Gateway in Databricks
The video demonstrates how to productionize GenAI applications using Databricks' Mosaic AI Gateway, highlighting features like usage tracking, inference tables, AI guardrails, rate limits, and model fallbacks. It shows how to configure these features through the Databricks UI and monitor application performance and costs using built-in dashboards.
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