
Sign up to save your podcasts
Or


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.
By Databricks4.8
2020 ratings
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.

406 Listeners

26,250 Listeners

9,622 Listeners

478 Listeners

626 Listeners

301 Listeners

228 Listeners

266 Listeners

2,534 Listeners

10,182 Listeners

1,561 Listeners

576 Listeners

677 Listeners

3,483 Listeners

34 Listeners