

Aaron Colak — ML and NLP in Experience Management
Aug 26, 2022
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
Introduction
00:00 • 4min
The Scale of Qualtrics
03:48 • 2min
What's the Difference Between CSAT and MPS?
06:13 • 2min
What's the Most Canonical Use Case?
08:43 • 2min
Do You Use Large Language Models a Lot?
10:58 • 2min
How Do You Use NLP for Low Resource Languages?
13:23 • 5min
How Does Zero Shot Performance Really Work?
18:20 • 2min
Is Multitasking Really a Powerful Tool?
19:59 • 2min
Do You Have a Single Task?
21:42 • 2min
Is It a Customer-Specific Model or a Universal Model?
23:30 • 2min
Is Deep Learning a Part of Predicting Churn From Survey Results?
25:13 • 2min
Using Deep Learning in Tabular Data
26:46 • 2min
ML Platform Development
28:41 • 2min
Using a Performance Monitoring Tool?
30:26 • 3min
Qualtrics - Is There Any Tooling to Help With Fairness?
33:36 • 4min
Qualtrics - What Makes You Successful in B2B?
37:18 • 3min
The Biggest Surprising Thing About ML?
40:04 • 3min
Is There a Future in Machine Learning?
42:54 • 2min
Is ML Delivering at the Scale It's Invested In?
45:11 • 5min