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		<title>Boosting Resiliency with an ML-based Telemetry Analytics Architecture</title>
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		<dc:creator><![CDATA[Shibu Nair]]></dc:creator>
		<pubDate>Fri, 03 Mar 2023 13:26:01 +0000</pubDate>
				<category><![CDATA[Amazon CloudWatch]]></category>
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					<description><![CDATA[Data proliferation has become a norm and as organizations become more data driven, automating data pipelines that enable data ingestion, curation, and processing is vital. Since many organizations have thousands of time-bound, automated, complex pipelines, monitoring their telemetry information is critical. Keeping track of telemetry data helps businesses monitor and recover their pipelines faster which results […]]]></description>
		
		
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		<title>Detecting data drift using Amazon SageMaker</title>
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		<dc:creator><![CDATA[Shibu Nair]]></dc:creator>
		<pubDate>Tue, 03 May 2022 14:18:36 +0000</pubDate>
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					<description><![CDATA[As companies continue to embrace the cloud and digital transformation, they use historical data in order to identify trends and insights. This data is foundational to power tools, such as data analytics and machine learning (ML), in order to achieve high quality results. This is a time where major disruptions are not only lasting longer, […]]]></description>
		
		
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