Software Engineering Radio - the podcast for professional software developers

Episode 534: Andy Dang on AI/ML Observability

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Oct 20, 2022
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1
Introduction
00:00 • 5min
2
Observability Bridges Unknowns in Machine Learning?
04:45 • 4min
3
Detecting Drift in Machine Learning and Machine Learning Monitoring
08:45 • 4min
4
Detecting Data Drift at Scale
13:12 • 4min
5
Statistical Fingerprinting - A Very Interesting Way to Reduce Problem Space
17:39 • 5min
6
DevOps Observability
22:44 • 4min
7
ML and the Data Engineering Space?
26:59 • 3min
8
Data Engineering
30:13 • 2min
9
Machine Learning - What's the Difference Between Training and Production?
32:18 • 3min
10
How Whileouts Fits Into the Product?
35:39 • 2min
11
Explainability in AI ML?
37:31 • 3min
12
Is Observability Helping in Machine Learning?
40:10 • 2min
13
DevOps Tool for Machine Learning
42:28 • 3min
14
Is There a Future in AI Monitoring?
45:18 • 2min
15
Machine Learning Observability
47:33 • 3min
16
AI, ML, Observability, Where Do You See the Future?
50:26 • 4min