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		<title>With a zero-ETL approach, AWS is helping builders realize near-real-time analytics</title>
		<link>https://noise.getoto.net/2023/06/29/with-a-zero-etl-approach-aws-is-helping-builders-realize-near-real-time-analytics/</link>
		
		<dc:creator><![CDATA[Swami Sivasubramanian]]></dc:creator>
		<pubDate>Wed, 28 Jun 2023 21:24:10 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Big Data]]></category>
		<category><![CDATA[Thought Leadership]]></category>
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					<description><![CDATA[Data is at the center of every application, process, and business decision. When data is used to improve customer experiences and drive innovation, it can lead to business growth. According to Forrester, advanced insights-driven businesses are 8.5 times more likely than beginners to report at least 20% revenue growth. However, to realize this growth, managing […]]]></description>
		
		
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		<title>Data: The genesis for modern invention</title>
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		<dc:creator><![CDATA[Swami Sivasubramanian]]></dc:creator>
		<pubDate>Wed, 30 Nov 2022 20:02:02 +0000</pubDate>
				<category><![CDATA[Amazon Machine Learning]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[artificial intelligence]]></category>
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					<description><![CDATA[It only takes one groundbreaking invention—one iconic idea that solves a widespread pain point for customers—to create or transform an industry forever. From the invention of the telegraph, to the discovery of GPS, to the earliest cloud computing services, history is filled with examples of these “eureka” moments that continue to have long-lasting impacts on […]]]></description>
		
		
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		<title>Bringing machine learning to more builders through databases and analytics services</title>
		<link>https://noise.getoto.net/2020/12/08/bringing-machine-learning-to-more-builders-through-databases-and-analytics-services/</link>
		
		<dc:creator><![CDATA[Swami Sivasubramanian]]></dc:creator>
		<pubDate>Tue, 08 Dec 2020 17:22:37 +0000</pubDate>
				<category><![CDATA[Amazon Aurora]]></category>
		<category><![CDATA[Amazon Neptune]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[database]]></category>
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					<description><![CDATA[Machine learning (ML) is becoming more mainstream, but even with the increasing adoption, it&#8217;s still in its infancy. For ML to have the broad impact that we think it can have, it has to get easier to do and easier to apply. We launched Amazon SageMaker in 2017 to remove the challenges from each stage [&#8230;]]]></description>
		
		
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