Top 10 Books: Data & AI for Investing
Inspiration for Your Summer Reading List
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Summer time is reading time but not everyone maintains a list of their must reads. If this sounds familiar, this article is for you.
I asked our community for input and below are the top 10 books Data-Driven VCs are reading this summer.
#1 “Prediction Machines: The Simple Economics of Artificial Intelligence" by Ajay Agrawal, Joshua Gans, and Avi Goldfarb
This book explores how AI is fundamentally changing decision-making processes and provides insights into leveraging AI for predicting business outcomes.
#2 "Artificial Intelligence: A Guide to Intelligent Systems" by Michael Negnevitsky
This comprehensive guide covers the basics of AI, offering insights into neural networks, fuzzy systems, and genetic algorithms that are crucial for data-driven investing. A great way to start your journey with limited technical understanding.
#3 "Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World" by Marco Iansiti and Karim R. Lakhani
The authors explain how AI transforms business models and the strategic implications for companies, including insights for investors on identifying AI-driven opportunities.
