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	<title>Ravikant Gupta &#8211; Noise</title>
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		<title>Integrating Redaction of FinServ Data into a Machine Learning Pipeline</title>
		<link>https://noise.getoto.net/2021/07/26/integrating-redaction-of-finserv-data-into-a-machine-learning-pipeline/</link>
		
		<dc:creator><![CDATA[Ravikant Gupta]]></dc:creator>
		<pubDate>Mon, 26 Jul 2021 16:08:07 +0000</pubDate>
				<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Amazon Comprehend]]></category>
		<category><![CDATA[Amazon Machine Learning]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Financial Services]]></category>
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					<description><![CDATA[Financial companies process hundreds of thousands of documents every day. These include loan and mortgage statements that contain large amounts of confidential customer information. Data privacy requires that sensitive data be redacted to protect the customer and the institution. Redacting digital and physical documents is time-consuming and labor-intensive. The accidental or inadvertent release of personal information […]]]></description>
		
		
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