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The Ops in MLOps - Process and People // Shalabh Chaudri // MLOps Podcast #146

Feb 21, 2023
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Episode notes
1
Introduction
00:00 • 2min
2
ML Ops at Scale
01:50 • 3min
3
Algorithmia Machine Learning - What's Your Journey?
05:13 • 2min
4
Machine Learning
06:44 • 6min
5
Machine Learning - Where Have You Succeeded Where Others Fall Short?
12:44 • 2min
6
Machine Learning Pipeline Models - How Do They Fit With Other Tooling?
14:27 • 5min
7
Data Cal Cataloging
19:38 • 3min
8
MLOps - What Are the Stakeholders?
22:31 • 2min
9
DevOps Versus ML Plus Ops?
24:04 • 5min
10
UX and Machine Learning - What's the Point of MLOps?
28:34 • 2min
11
What Are Some of the Challenges That You've Had?
30:27 • 3min
12
Is Machine Learning Really Taking Over?
33:32 • 5min
13
Common Pitfalls of MLOps
38:28 • 5min
14
A Racing Team Is an MLOps Construct
43:40 • 2min
15
I Love Customer Success and Machine Learning
45:32 • 5min
16
The Challenges of DevOps
50:47 • 3min
17
The Quality Traits of a Technical Stakeholder
53:18 • 2min
18
What Makes an MLOps Solution Successful?
55:23 • 4min