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		<title>AI Reads the Boardroom: Can Language Models Measure Digital Transformation?</title>
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		<pubDate>Thu, 08 Oct 2026 22:07:09 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[chain-of-thought prompting]]></category>
		<category><![CDATA[corporate disclosure]]></category>
		<category><![CDATA[digitalization]]></category>
		<category><![CDATA[enterprise digital transformation]]></category>
		<category><![CDATA[fine-tuning]]></category>
		<category><![CDATA[Journal of Big Data]]></category>
		<category><![CDATA[Large Language Models]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[Natural Language Processing]]></category>
		<category><![CDATA[prompt engineering]]></category>
		<category><![CDATA[text measurement]]></category>
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					<description><![CDATA[A new study in the Journal of Big Data shows that large language models can outperform traditional machine learning in measuring enterprise digital transformation from corporate texts, though they struggle with indicators requiring contextual inference about business effectiveness.]]></description>
		
		
		
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