

The Future of ML and Data Platforms // Michael Del Balso - Erik Bernhardsson // Coffee Sessions #57
10 snips Oct 1, 2021
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
Introduction
00:00 • 3min
Are You Still in Super Stealth Mode With Whatever You're Up To?
02:53 • 3min
Fintech - Is the Data Space Ready?
05:42 • 2min
The Complexity of Data Stacks
07:20 • 2min
Is the Pendulum Swung Too Far?
09:34 • 4min
Data Science and Machine Learning - What's Next?
13:25 • 3min
Why Build a Platform?
16:18 • 4min
Building a Platform Team?
20:29 • 3min
Don't Go Too Far in Data and Machine Learning
23:04 • 5min
Decentralization
28:08 • 2min
Decentralization vs Decentralized Platforms?
30:12 • 2min
How Big Should the Platform Team Be for an Organization?
31:45 • 2min
Machine Learning
34:00 • 3min
I've Lived This Exact Story
37:00 • 2min
Why Do We Need a Separate Machine Learning Stack?
39:05 • 3min
The Key to a Data Workflow - Operational Operation.
42:34 • 2min
Infra Structure Land
44:34 • 2min
How to Train a Machine Learning Model in Real Time
46:50 • 2min
Machine Learning
49:17 • 2min
I Think We'll See a Little Bit of Convergence Between Ac Data and Back End.
51:30 • 4min