Simple Data Architecture Best Practices for AI Readiness
Name
2023-11-03 DataforAIReadiness.pdf
Size
117.29 KB
Format
Adobe PDF
Checksum (MD5)
adaf8fdc90a7d52120a286e10160b83b
Author(s)
Gadepally, Vijay
Kepner, Jeremy
Date Issued
November 9, 2023
Abstract
AI1 requires data. A core requirement for AI techniques to be successful is high quality data. Hence,
preparing systems to be “AI Ready” involves collecting raw data and parsing it. There are
simple techniques that can be applied during initial parsing of raw data that can dramatically reduce
the effort of applying AI. This document provides a short list of a few best practices for preparing the data.
Subjects
Artificial Intelligence
Data Architecture
Best Practices
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