Enterprise AI: Research to Product Data Brew Episode 43

In this episode, Dipendra Kumar, Staff Research Scientist, and Alnur Ali, Staff Software Engineer at Databricks, discuss the challenges of applying AI in enterprise environments and the tools being developed to bridge the gap between research and real-world deployment. Highlights include: - The challenges of real-world AI—messy data, security, and scalability. - Why enterprises need high-accuracy, fine-tuned models over generic AI APIs. - How QuickFix learns from user edits to improve AI-driven coding assistance. - The collaboration between research & engineering in building AI-powered tools. - The evolving role of developers in the age of generative AI.

You can listen to Enterprise AI: Research to Product Data Brew Episode 43 online on Radio and Podcast. Open the player on this page to stream the available audio.

Enterprise AI: Research to Product Data Brew Episode 43 is an episode from Data Brew by Databricks by Databricks.

This episode is 38:03 long.

This episode was published on Apr 10, 2025.

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