Super Data Science: ML & AI Podcast with Jon Krohn 425: The Past, Present, and Future of AI Services
Dec 10, 2020
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21
Introduction
00:00 • 3min
The Second Wave of Pandemic Vaccines
02:55 • 2min
The Evolution of Data Science
05:09 • 6min
The Success of IBM Watson
10:59 • 5min
How to Cement Your Intuitive Understanding of AI and Data Science
16:25 • 4min
IBM Watson Platform: A Fast Process to Get Up to Speed
20:13 • 4min
How to Consume an AI Model and Derive Value Out of It
24:27 • 5min
The Importance of Clarity of Purpose in AI Models
29:02 • 5min
How to Clean and Organize Data for AI
33:36 • 2min
The Life Cycle of AI Models
35:50 • 2min
How to Set Expectations for AI Platforms
38:13 • 3min
The Journey to AI
41:09 • 4min
The Importance of Trust and Explainability in AI Platforms
44:54 • 5min
AI and the Future of Business Processes
49:50 • 2min
The Future of AI
52:09 • 3min
The Future of AI
55:21 • 3min
The Importance of Integrity in AI
58:32 • 3min
The Importance of Being Truthful and Honest
01:01:34 • 3min
How to Stay True to Yourself and Not Be Mandated by AI Systems
01:04:37 • 4min
The Role of Legislation in the Rise of Social Media
01:08:12 • 3min
The Importance of Clarity of Purpose in AI
01:11:39 • 2min