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<pubDate>Sun, 12 Apr 2026 04:15:02 GMT</pubDate>
<dc:date>2026-04-12T04:15:02Z</dc:date>
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<title>Simple Data Architecture Best Practices for AI Readiness</title>
<link>https://hdl.handle.net/1721.1/152932</link>
<description>Simple Data Architecture Best Practices for AI Readiness
Gadepally, Vijay; Kepner, Jeremy
AI1 requires data. A core requirement for AI techniques to be successful is high quality data. Hence,&#13;
preparing systems to be “AI Ready” involves collecting raw data and parsing it. There are&#13;
simple techniques that can be applied during initial parsing of raw data that can dramatically reduce&#13;
the effort of applying AI. This document provides a short list of a few best practices for preparing the data.
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<pubDate>Thu, 09 Nov 2023 00:00:00 GMT</pubDate>
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<dc:date>2023-11-09T00:00:00Z</dc:date>
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