Discover the crucial element missing from production machine learning stacks in this 27-minute conference talk from MLOps World: Machine Learning in Production. Explore how to enable data logging for AI applications, and learn its impact on testing, monitoring, and debugging both AI applications and upstream data pipelines. Delve into the key properties of logging libraries capable of handling terabytes of data, operating with constrained memory footprints, and producing statistically accurate log profiles for structured and unstructured data. Gain valuable insights into best practices for supercharging MLOps within your team, and understand the parallels between DevOps and ML operations. Leave equipped with knowledge to address operational challenges in ML deployments and optimize your time for model building rather than troubleshooting.
The Critical Missing Component in the Production ML Stack - Data Logging for AI Applications
MLOps World: Machine Learning in Production via YouTube
Overview
Syllabus
The Critical Missing Component in the Production ML Stack
Taught by
MLOps World: Machine Learning in Production
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