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	<title>Data Transformation &#8211; SEGMETRIQ</title>
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		<title>Why Enterprise AI Projects Fail Without Trusted Data</title>
		<link>https://seganalytics.in/why-enterprise-ai-projects-fail-without-trusted-data/</link>
					<comments>https://seganalytics.in/why-enterprise-ai-projects-fail-without-trusted-data/#respond</comments>
		
		<dc:creator><![CDATA[admin]]></dc:creator>
		<pubDate>Tue, 23 Jun 2026 07:41:37 +0000</pubDate>
				<category><![CDATA[AI & Data Transformation]]></category>
		<category><![CDATA[Banking Analytics]]></category>
		<category><![CDATA[Data Analytics]]></category>
		<category><![CDATA[Data governance]]></category>
		<category><![CDATA[Data Transformation]]></category>
		<category><![CDATA[Decision Intelligence]]></category>
		<category><![CDATA[Enterprise AI]]></category>
		<category><![CDATA[Risk Analytics]]></category>
		<category><![CDATA[segmetriq analytics]]></category>
		<guid isPermaLink="false">https://seganalytics.in/?p=555</guid>

					<description><![CDATA[Introduction : A bank invests millions into an AI-powered credit risk model. The technology team builds the platform.The data science team creates sophisticated algorithms.The leadership team expects faster approvals, better risk prediction, and improved customer experience. But six months later, something unexpected happens. Business teams still hesitate to trust the recommendations. Risk officers continue using [&#8230;]]]></description>
		
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