

Data Brew Season 1 Episode 5: Combining Machine Learning and MLflow with your Lakehouse
Jan 6, 2021
The podcast discusses how Quby leverages ML to extract value from their data lake in the energy industry. They explore using energy data to create data-driven services and the challenges of clustering algorithms. They also discuss less intrusive monitoring methods, data transformation for privacy compliance, and obtaining permission from users.
Chapters
Transcript
Episode notes
1 2 3 4 5 6
Introduction
00:00 • 2min
Using Energy Data for Data-Driven Services
02:08 • 12min
Challenges of Clustering Algorithms and New Use Cases in Energy Industry
13:46 • 4min
Less Intrusive Monitoring and Privacy Concerns
18:05 • 3min
Data Transformation, Privacy Contracts, and User Perspectives
21:11 • 2min
Obtaining Permission and Managing Machine Learning Models
23:11 • 13min