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	<title>Data &#8211; Fractal River</title>
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		<title>Conversational Interfaces: Use AI to Chat With Your Data or App</title>
		<link>https://www.fractalriver.com/articles/conversational-interfaces/</link>
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		<dc:creator><![CDATA[Roberto Moctezuma]]></dc:creator>
		<pubDate>Wed, 21 Feb 2024 19:26:45 +0000</pubDate>
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					<description><![CDATA[Home Blog In today’s fast-evolving digital landscape, AI is reshaping how we interact with technology. Among its transformative applications, Conversational Interfaces (CIs) stand out, fundamentally changing our approach to data interaction and application usability. Unlike traditional graphical user interfaces (GUIs), CIs leverage natural language processing, enabling users to converse with data in a more intuitive, [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>Analytics, Data, Strategy In today’s fast-evolving digital landscape, AI is reshaping how we interact with technology. Among its transformative applications, Conversational Interfaces (CIs) stand out, fundamentally changing our approach…</p>
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		<title>Rethinking Product Analytics: A Smarter Approach</title>
		<link>https://www.fractalriver.com/articles/rethinking-product-analytics/</link>
					<comments>https://www.fractalriver.com/articles/rethinking-product-analytics/#respond</comments>
		
		<dc:creator><![CDATA[Roberto Moctezuma]]></dc:creator>
		<pubDate>Thu, 08 Feb 2024 03:51:30 +0000</pubDate>
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					<description><![CDATA[Home Blog In the dynamic world of startups, the race to deliver feature-rich products often leads to a common mistake: developing analytics using existing in-house application engineering resources. This approach, while seemingly integrated, is incorrect because it misaligns resources away from their core competencies, uses tools that don&#8217;t scale well, and wastes effort reinventing the [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>Analytics, Data, Strategy In the dynamic world of startups, the race to deliver feature-rich products often leads to a common mistake: developing analytics using existing in-house application engineering resources. This approach…</p>
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