

S3 | Ep 18 | How Not To Do Machine Learning and Why Organisations Are Getting it Wrong with Sarah Schlobohm, Head of AI at Kubrick Group
Mar 7, 2023
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
Introduction
00:00 • 2min
Sarah Schlowbaum: Head of AI at Cuberit Group
01:37 • 2min
The Full Kubrick Triangle
03:44 • 2min
The Challenges of Machine Learning
05:18 • 2min
The Importance of Business Value in Machine Learning Engineering
07:41 • 2min
The Future of Business Analytics
09:42 • 2min
The Importance of Data Management in Machine Learning
11:25 • 3min
The Evolution of Technical Tooling in ML
14:19 • 3min
How to Quantify the ROI of a Data Analytics Project
16:57 • 3min
The Importance of Having a Conversation About AI
20:08 • 2min
The Importance of Regular Review in the ML Space
21:57 • 2min
The Role of Domain Expertise in Data Teams
24:04 • 3min
The Importance of Ethics in Data Governance
27:25 • 4min
The Importance of Diversity in Decision Making
31:39 • 2min
How to Tackle the Challenges Within the Industry Around Diversity and Inclusion
33:29 • 3min
The Noise Around Diversity and Inclusion
36:25 • 2min
How to Be an ML Engineer
38:20 • 3min