Software Engineering Radio - the podcast for professional software developers

Episode 534: Andy Dang on AI/ML Observability

Oct 20, 2022

54:17

Creator website

Highlights

AI Chapters

Episode notes

Is Observability Helping in Machine Learning?

02:18

Detecting Drift in Machine Learning and Machine Learning Monitoring

04:27

DevOps Tool for Machine Learning

02:49

Introduction

5min

Observability Bridges Unknowns in Machine Learning?

4min

Detecting Drift in Machine Learning and Machine Learning Monitoring

4min

Detecting Data Drift at Scale

4min

Statistical Fingerprinting - A Very Interesting Way to Reduce Problem Space

5min

DevOps Observability

4min

ML and the Data Engineering Space?

3min

Data Engineering

2min

Machine Learning - What's the Difference Between Training and Production?

3min

10.

How Whileouts Fits Into the Product?

2min

11.

Explainability in AI ML?

3min

12.

Is Observability Helping in Machine Learning?

2min

13.

DevOps Tool for Machine Learning

3min

14.

Is There a Future in AI Monitoring?

2min

15.

Machine Learning Observability

3min

16.

AI, ML, Observability, Where Do You See the Future?

4min

Andy Dang, Head of Engineering at WhyLabs discusses observability and data ops for AI/ML applications and how that differs from traditional observability. SE Radio host Akshay Manchale speaks with Andy about running an AI/ML model in production and how...