AI & Machine Learning for Business | A (non-technical) introduction

While everyone seems to be talking about AI these days, it may not be entirely clear how to use it to drive value in business. Here, I give a non-technical introduction to AI and share tips on how to use it in practice.

📰 Read more: https://towardsdatascience.com/ai-machine-learning-for-business-24bcf9754038?sk=e70bbde04d7991d8dc73c896e1928e53

References
[2] DALLE-2
[3] Canva
[4] Royal Society. (2017). (rep.). Machine learning: the power and promise of computers that learn by example. Retrieved January 20, 2024, from https://royalsociety.org/~/media/policy/projects/machine-learning/publications/machine-learning-report.pdf.

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Introduction – 0:00
Outline – 0:37
What is AI? – 1:14
Intelligence in action – 2:13
Models – 3:37
2 Types of Models – 4:28
Machine Learning – 5:26
Example: Credit Decisioning – 7:22
5 Rules of Thumb for Using AI – 9:28
1) Focus on problems, not technologies – 10:10
2) Apply to problems you solve repeatedly – 12:47
3) “70% Solution” is good enough – 14:44
4) 1 failure doesn’t erase 9 successes – 15:30
5) Start simple, fast, and easy – 16:17
Key Terms & Recap – 19:10
What’s next? – 19:59

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