AI - Machine Learning and Rule-Based Automation (2019)
- Why understanding AI’s impact on finance starts with a major shift in computer science.
- How IBM’s Deep Blue beat the chess world champion using raw computing power, not learning.
- Why the game of Go broke brute-force AI approaches.
- How AlphaGo won by making creative, “unthinkable” moves that surprised human experts.
- The role of deep learning and neural networks in true self-learning AI.
- Where AI is already being used in finance to detect risk and fraud.
- How real AI can discover new risk patterns and scale financial decision-making.
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E1 - Part I // AI Prompting
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