<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Continuous Integration on Formize.com Blog</title><link>https://blog.formize.com/tags/continuous-integration/</link><description>Recent content in Continuous Integration on Formize.com Blog</description><generator>Hugo</generator><language>en</language><atom:link href="https://blog.formize.com/tags/continuous-integration/index.xml" rel="self" type="application/rss+xml"/><item><title>Continuous Data Governance in MLOps Pipelines with Formize</title><link>https://blog.formize.com/continuous-data-governance-in-mlops/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://blog.formize.com/continuous-data-governance-in-mlops/</guid><description>&lt;h1 id="continuous-data-governance-in-mlops-pipelines-with-formize">Continuous Data Governance in MLOps Pipelines with Formize&lt;/h1>
&lt;p>Enterprises that ship machine‑learning models at scale face a paradox: the faster they iterate, the harder it becomes to guarantee that data used for training, validation, and inference complies with internal policies and external regulations. Traditional data‑governance approaches—manual audits, periodic reports, and static lineage maps—cannot keep up with the velocity of modern MLOps workflows.&lt;/p>
&lt;p>Formize, a low‑code data‑lineage and compliance engine, was built for exactly this challenge. By embedding Formize into the CI/CD pipeline, organizations can &lt;strong>capture lineage in real time&lt;/strong>, &lt;strong>enforce policy as code&lt;/strong>, and &lt;strong>expose quality dashboards&lt;/strong> that developers and auditors can query instantly.&lt;/p></description></item></channel></rss>