Episode
Enterprise AI: Research to Product | Data Brew | Episode 43
- Podcast
- Data Brew by Databricks
- Published
- Apr 10, 2025
- Duration seconds
- 2283
- Processing state
processed
Actions
POST https://stenobird.com/v1/public/podcasts/data-brew-by-databricks/episodes/enterprise-ai-research-to-product-data-brew-episode-43/transcription-requests
Idempotently request low-priority transcript generation for this episode.GET https://stenobird.com/podcast/data-brew-by-databricks/enterprise-ai-research-to-product-data-brew-episode-43.md
Read the agent-friendly Markdown representation of this episode resource.
Summary
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-dri...