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The key to success in AI is access to large amounts of data from "summary" of AI Superpowers by Kai-Fu Lee
Access to large amounts of data is the lifeblood of artificial intelligence. The raw material that fuels the algorithms, enabling them to learn and improve over time. Without this data, AI systems would be like a car without fuel - unable to operate or reach their full potential. In today's AI landscape, companies that have access to vast quantities of data have a significant advantage over their competitors. This advantage is often referred to as the "data network effect", where the more data a company collects, the better its AI systems become, leading to even more data being generated and collected. This creates a virtuous cycle that can be difficult for other companies to break into. Data is especially important in training machine learning models, which require large and diverse datasets to accurately learn and make predictions. The more data that is available, the more accurate and reliable the AI system will be. This is why tech ...
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