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How to get the data you need to train AI models: A Guide to Success with Tapdata
As a product manager, you might face a big challenge when building AI products: you need data to train your AI models, but you don’t have enough of it. Whether you’re building a completely new product or improving an existing one, you need data to make your AI work. But what happens if you don’t have enough data? Don’t worry—there are several ways to get the data you need, and there are tools available to make the process easier. In this blog, we’ll explain how you can gather data and start building your AI product even if you don’t have everything right away. Why Is Data So Important for AI? To make AI work, you need data. AI models learn from data to make decisions, predictions, and suggestions. Without enough data, the model won’t be able to make accurate predictions, which means your AI product won’t work as well as it should. It’s like trying to drive a car with bad fuel—everything will break down, and you won’t get anywhere. But it’s not just about collecting data once. You need to keep collecting high-quality data to keep your model working well. There are three types of data you need for...