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	<title>cyber-physical systems Archives - IoT Marketing</title>
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	<description>Launching &#38; Fueling Growth!</description>
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		<title>When “In Control” Stops Meaning Stable</title>
		<link>https://iotmktg.com/when-in-control-stops-meaning-stable/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=when-in-control-stops-meaning-stable</link>
		
		<dc:creator><![CDATA[Johannes Beekman]]></dc:creator>
		<pubDate>Thu, 22 Jan 2026 20:00:00 +0000</pubDate>
				<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[adaptive physical ai]]></category>
		<category><![CDATA[cyber-physical systems]]></category>
		<category><![CDATA[operational governance]]></category>
		<category><![CDATA[quality assurance]]></category>
		<category><![CDATA[statistical process control]]></category>
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					<description><![CDATA[<p>Rethinking Quality and Assurance in Adaptive Physical AI SystemsAbstract“In control” used to mean something operational: the process was stable enough to predict, the measurement system was trustworthy, and when the process moved, the organization could see it and respond. That meaning is harder to defend with adaptive physical AI. These systems do not only operate [&#8230;]</p>
<p>The post <a href="https://iotmktg.com/when-in-control-stops-meaning-stable/">When “In Control” Stops Meaning Stable</a> appeared first on <a href="https://iotmktg.com">IoT Marketing</a>.</p>
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