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		<title>Modernize game intelligence with generative AI on Amazon Redshift</title>
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		<pubDate>Wed, 28 Jan 2026 17:54:53 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
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		<category><![CDATA[generative AI]]></category>
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					<description><![CDATA[In this post, we discuss how you can use Amazon Redshift as a knowledge base to provide additional context to your LLM. We share best practices and explain how you can improve the accuracy of responses from the knowledge base by following these best practices.]]></description>
		
		
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		<title>Power up your analytics with Amazon SageMaker Unified Studio integration with Tableau, Power BI, and more</title>
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		<dc:creator><![CDATA[Narendra Gupta]]></dc:creator>
		<pubDate>Thu, 22 Jan 2026 17:26:09 +0000</pubDate>
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					<description><![CDATA[In this post, we guide you through connecting various analytics tools to Amazon SageMaker Unified Studio using the Athena JDBC driver, enabling seamless access to your subscribed data within your Amazon SageMaker Unified Studio projects.]]></description>
		
		
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		<dc:creator><![CDATA[Narendra Gupta]]></dc:creator>
		<pubDate>Wed, 14 Sep 2022 15:47:29 +0000</pubDate>
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					<description><![CDATA[In today’s world, organizations are collecting an unprecedented amount of data from all kinds of different data sources, such as transactional data stores, clickstreams, log data, IoT data, and more. This data is often in different formats, such as structured data or unstructured data, and is usually referred to as the three Vs of big […]]]></description>
		
		
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