Microsoft Ads Asset-Level Disapprovals: What Marketers Must Know
2 Dec 2025
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Data plays a crucial role in Artificial Intelligence (AI). Simply put, data is all the information that AI systems use to learn, think, and make decisions. When we talk about "what is data in AI," we mean numbers, images, text, sound, video, or any other information that a machine can process.
Types of Data: There are two main types of data in AI – structured data (such as spreadsheets, databases) and unstructured data (such as photos, videos, emails, social media posts). AI learning algorithms analyze this data to identify patterns and learn new things.
For example, if you want AI to recognize cats in a photo, you must first provide hundreds of thousands of photos of cats and other animals as data. AI learns what a cat looks like by studying the colors, shapes, and patterns in these photos.
Data quality also matters. AI results are accurate only when the data is clean, diverse, and abundant. Providing poor or incomplete data can lead to inaccurate AI decisions.
If you want to build an AI-based chatbot, it must first be trained on thousands of questions and answers or conversation data. You can use open-source data sets or your own generated questions and answers. For more information, you can see Wikipedia Data Sets.
Always remember, the better and more diverse the data you provide to AI, the smarter and more accurate it will be. Start with a small data set and gradually expand it.
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