Simple Data Architecture Best Practices for AI Readiness
Author(s)
Gadepally, Vijay; Kepner, Jeremy
Download2023-11-03 DataforAIReadiness.pdf (117.2Kb)
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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.
Date issued
2023-11-09Keywords
Artificial Intelligence, Data Architecture, Best Practices
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