“Here is a standard piece of advice on making unstructured data usable in an AI context:

“To make unstructured data more useful for AI, I’d move very quickly through a few steps. First, I’d clean it up—remove noise, correct errors, and standardize formats. Next, I’d impose structure by tagging or categorizing elements—think of applying a taxonomy or creating a consistent schema. Then, I’d transform it into structured formats, like tables or JSON, and use techniques such as natural language processing to extract key entities, relationships, and sentiments. Finally, I’d store it in a way that’s easily searchable and compatible with AI models, like a knowledge graph or a database. This combination of cleaning, structuring, and enriching helps AI systems interpret the data more accurately and transparently.” (Perplexity)”

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