Actions Panel
Intro to AI Observability: Monitoring ML Models & Data in Production
How to monitor data and machine learning models in production
When and where
Date and time
Wednesday, April 12 · 4 - 5pm PDT
Location
Online
About this event
- 1 hour
- Mobile eTicket
Join this hands-on workshop to get started with data and machine learning model monitoring.
If you want to build reliable pipelines, trustworthy data, and responsible ML models, you need to validate and monitor your data.
In this workshop we’ll cover how to use validation and monitoring techniques to implement your own AI observability solution from start to finish. Once completed you'll also receive a certificate!
This workshop will cover:
- Data quality validation
- Detecting data drift
- Measuring model drift
- Monitoring model performance
What you’ll need:
- A modern web browser
- A Google account (for saving a Google Colab)
- Sign up free a free WhyLabs account (https://whylabs.ai/free)
Who should attend:
Anyone interested in AI Observability, Model monitoring, MLOps, and DataOps! This workshop is designed to be approachable for most skill levels. Familiarity with machine learning and Python will be useful, but it's not required.
By the end of this workshop, you’ll be able to implement data and AI observability into your own pipelines (Kafka, Airflow, Flyte, etc) and ML applications to catch deviations and biases in data or ML model behavior.
About the instructor:
Sage Elliott enjoys breaking down the barrier to AI observability, talking to amazing people in the Robust & Responsible AI community, and teaching workshops on machine learning. Sage has worked in hardware and software engineering roles at various startups for over a decade.
Connect with Sage on LinkedIn: https://www.linkedin.com/in/sageelliott/
About WhyLabs:
WhyLabs.ai is an AI observability platform that prevents data & model performance degradation by allowing you to monitor your data and machine learning models in production.
Check out our open-source ML monitoring project: https://github.com/whylabs/whylogs
Do you want to connect with the team, learn about WhyLabs, or get support? Join the WhyLabs + Robust & Responsible AI community Slack: https://bit.ly/rsqrd-slack