

AI for Business: A (non-technical) introduction
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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.
๐ฐ Read more: https://medium.com/towards-data-science/ai-machine-learning-for-business-24bcf9754038
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.
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
Homepage: https://www.shawhintalebi.com/
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Top Comments
Thanks Shaw.
Can you do a course on Markov / Semi Markov / Hidden Markov / Semi Hidden Markov models please.
thanks a lot for simplifying AI ๐
As a first approach of AI, this video has really good content. However for a non English speaking person, it is horrible to listen too... As a trainer, you should have used AI in order to cut your video in multiple clips and MAKE PรUSE during the presentation... Sorry, but for me, you are speaking too fast with zero breakdown and it makes me really uncomfortable when I listen to your video.
Amazing explanation! Thank you so much for walking us through this in the most simplified way possible. You truly have a knack for breaking down complex topics and being able to explain them to anyone!