Infrastructure for AI
The discussion emphasizes the importance of having a solid infrastructure for machine learning, highlighting tools like MLflow for model tracking. The challenges of dealing with unstructured data and the bootstrapping problem of labeling without external resources are explored, revealing the common struggles many companies face in their AI journeys.In this clip
From this podcast
Practical AI
Broccoli AI at its best 🥦
Related Questions
What are the challenges in machine learning as discussed in the episode AI Today Podcast: Insights into No-Code ML: Interview with Matt Chambers & Juan Buhler, Boon AI and the clip Data Infrastructure Challenges?
Do companies need large machine learning teams, as discussed in the episode MLOps Coffee Sessions #13 How to Choose the Right Machine Learning Tool: A Conversation // Jose Navarro and Mariya Davydova, and the clip ML Infrastructure Standardization?