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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Senior Program Manager @ Microsoft | Fabric Partner Enablement
7moGreat article! Another great way to learn how to start building AI-enabled applications is to come and learn about it at the Microsoft Fabric Community Conference in March :) https://aka.ms/fabcon