ML Platform Podcast cover image

Navigating ML Observability with Danny Leybzon

ML Platform Podcast

00:00

ML Monitoring and Observability - Data Drift Monitoring

A good ML monitoring and observability system will allow you to change that granularity. Data quality monitoring is a really great use case for real time data. And we actually have real time data streaming capabilities built into Y logs where we can take in Apache Kafka or other types of data streams. But it's impossible to monitor data point by data point for data drift, because data drift doesn't happen on the data point level.

Play episode from 39:30
Transcript

The AI-powered Podcast Player

Save insights by tapping your headphones, chat with episodes, discover the best highlights - and more!
App store bannerPlay store banner
Get the app