Chapter 4
Collecting, Organizing, and Transforming Data
IN THIS CHAPTER
Getting the AI perspective on data
Collecting and storing marketing data
Making sure that you can understand your data
Fine-tuning data for use by AI models
In the world of artificial intelligence (AI), data acts as the vital force driving machine learning (ML) algorithms. Data lays the foundation for the construction of AI systems, and you need a sufficient quality and quantity of data to make sure that your AI programs perform successfully. Data is the fuel that trains the AI to discern patterns and interpret the inputs provided.
But simply collecting vast amounts of data isn’t the whole story. Imagine having a library that contains millions of books, but you have no index or catalog. You’d find searching for some specific book or information frustrating, right? Metadata and data governance step in to alleviate this frustration for the AI. These elements act like the librarians of the AI world, keeping the data in order and making it easily accessible for your AI tools.
With generative AI, some cataloging ...
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