The importance of data in AI cannot be overstated from "summary" of Architects of Intelligence by Martin Ford
Data is the lifeblood of artificial intelligence. It is the raw material from which machine learning algorithms distill insights and make decisions. Without data, AI systems would be unable to learn, adapt, or improve over time. In fact, the quality and quantity of data are often more important than the sophistication of the algorithms themselves. In the world of AI, more data is almost always better. This is because AI systems rely on patterns in data to make predictions and decisions. The more data they have access to, the more accurate and reliable their predictions will be. This is why companies like Google, Facebook, and Amazon are constantly collecting vast amounts of data on their users—it gives them a competitive advantage in developin...
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