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Lakehouse Monitoring GA: Profiling, Diagnosing, and Enforcing Data Quality with Intelligence

August 1, 2024 by Jacqueline Li, Kasey Uhlenhuth, Paul Lappas and Danny Chiao in Security and Trust
At Data and AI Summit, we announced the general availability of Databricks Lakehouse Monitoring . Our unified approach to monitoring data and AI...

What’s New with Databricks Unity Catalog at Data + AI Summit 2024

June 12, 2024 by Jonathan Keller, Raj Gossain, Sachin Thakur, Paul Roome, Zeashan Pappa, Can Efeoglu, Jacqueline Li, Kristen Wilder, Todd Greenstein, Peter Wang, Erika Ehrli and Kelly Albano in Platform Blog
In an era marked by rapid advancements in artificial intelligence and an explosion of data and Gen AI tools, enterprises face fragmented data...

Implementing LLM Guardrails for Safe and Responsible Generative AI Deployment on Databricks

March 13, 2024 by Debu Sinha, Margaret Qian and Jacqueline Li in Data Science and ML
Introduction Let’s explore a common scenario – your team is eager to leverage open source LLMs to build chatbots for customer support interactions...

Lakehouse Monitoring: A Unified Solution for Quality of Data and AI

December 12, 2023 by Jacqueline Li, Alkis Polyzotis and Kasey Uhlenhuth in Platform Blog
Introduction Databricks Lakehouse Monitoring allows you to monitor all your data pipelines – from data to features to ML models – without additional...