How to Get Your Data AI Ready

In our latest blog, Jeromie Webster answers the most important questions about preparing data for #generativeai using first-hand experience, including:

Why Can’t I Just Load My Existing Data into AI?

Loading existing data directly into AI models without processing it first can lead to several challenges and potential pitfalls. Jeromie explores 6 key reasons why data needs to be processed before being used in AI models.

What is AI-Ready Data?

Jeromie also breaks down the different types of data commonly used in AI applications, including Structured, Unstructured , and Semi-structured data.

The Purpose of Getting AI-Ready Data

AI has the potential to unlock new insights, automate complex processes, and drive informed decision-making. However, its success hinges on a solid foundation that supports these advanced technologies. This foundation is built on data – not just any data, but data that is accurate, relevant, and complete.

5 Steps to Get Your Data Ready for AI

Data cleaning and preprocessing are fundamental steps in preparing your data for AI but involves involves several subtasks...

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