<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Enrichment on StorageNews</title><link>https://storagenews.top/tags/enrichment/</link><description>Recent content in Enrichment on StorageNews</description><generator>Hugo</generator><language>en</language><lastBuildDate>Fri, 20 Feb 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://storagenews.top/tags/enrichment/index.xml" rel="self" type="application/rss+xml"/><item><title>Kappa metadata fixes broken AI data pipelines</title><link>https://storagenews.top/posts/kappa-metadata-fixes-broken-ai-data-pipelines/</link><pubDate>Fri, 20 Feb 2026 00:00:00 +0000</pubDate><guid>https://storagenews.top/posts/kappa-metadata-fixes-broken-ai-data-pipelines/</guid><description>&lt;meta charset="utf-8">
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&lt;p class="std-text">Komprise claims KAPPA handles &lt;strong>petabyte-scale datasets&lt;/strong> while automatically managing cloud AI service lifecycles to fix broken data pipelines. The central thesis is that &lt;strong>serverless metadata enrichment&lt;/strong> is the only viable method to make the &lt;strong>90% of enterprise unstructured data&lt;/strong> actually usable for artificial intelligence. Without a central repository spanning filers, cloud stores, and SaaS services, organizations remain blind to their own assets despite heavy investment in generative models.&lt;/p></description></item></channel></rss>