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Enterprise AI: Research to Product | Data Brew | Episode 43

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Manage episode 476265895 series 2814833
Content provided by Databricks. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Databricks or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

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.

  continue reading

43 episodes

Artwork
iconShare
 
Manage episode 476265895 series 2814833
Content provided by Databricks. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Databricks or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

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.

  continue reading

43 episodes

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