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		<title>AI and Machine Learning Take Center Stage in Measuring the Economic Fallout of Digital Transformation</title>
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		<pubDate>Wed, 14 Oct 2026 07:06:39 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[cloud computing]]></category>
		<category><![CDATA[deep learning]]></category>
		<category><![CDATA[developing economies]]></category>
		<category><![CDATA[digital economy]]></category>
		<category><![CDATA[digital transformation]]></category>
		<category><![CDATA[economic impact]]></category>
		<category><![CDATA[generative AI]]></category>
		<category><![CDATA[Internet of Things]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[predictive analytics]]></category>
		<category><![CDATA[technology bubbles]]></category>
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					<description><![CDATA[A new survey in the Journal of Big Data uses machine learning, deep learning, and advanced analytics to evaluate the economic impacts of digital transformation, from developing economies to the rise of an AI-driven Tech Bubble 3.0.]]></description>
		
		
		
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