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	<title>Amazon Forecast &#8211; Noise</title>
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		<title>Perform time series forecasting using Amazon Redshift ML and Amazon Forecast</title>
		<link>https://noise.getoto.net/2023/08/07/perform-time-series-forecasting-using-amazon-redshift-ml-and-amazon-forecast/</link>
		
		<dc:creator><![CDATA[Tahir Aziz]]></dc:creator>
		<pubDate>Mon, 07 Aug 2023 16:25:34 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Forecast]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
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					<description><![CDATA[Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. Many businesses use different software tools to analyze historical data and past patterns to forecast future demand and trends to make more […]]]></description>
		
		
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		<title>AWS Week in Review – Redshift+Forecast, CodeCatalyst+GitHub, Lex Analytics, Llama 2, and Much More – July 24, 2023</title>
		<link>https://noise.getoto.net/2023/07/25/aws-week-in-review-redshiftforecast-codecatalystgithub-lex-analytics-llama-2-and-much-more-july-24-2023/</link>
		
		<dc:creator><![CDATA[Jeff Barr]]></dc:creator>
		<pubDate>Mon, 24 Jul 2023 22:58:56 +0000</pubDate>
				<category><![CDATA[Amazon CodeWhisperer]]></category>
		<category><![CDATA[Amazon Forecast]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[launch]]></category>
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		<category><![CDATA[Week in Review]]></category>
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					<description><![CDATA[Summer is in full swing here in Seattle and we are spending more time outside and less at the keyboard. Nevertheless, the launch machine is running at full speed and I have plenty to share with you today. Let’s dive in and take a look! Last Week’s Launches Here are some launches that caught my […]]]></description>
		
		
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		<title>AWS Week in Review – August 29, 2022</title>
		<link>https://noise.getoto.net/2022/08/29/aws-week-in-review-august-29-2022/</link>
		
		<dc:creator><![CDATA[Antje Barth]]></dc:creator>
		<pubDate>Mon, 29 Aug 2022 19:39:40 +0000</pubDate>
				<category><![CDATA[Amazon Forecast]]></category>
		<category><![CDATA[Amazon QuickSight]]></category>
		<category><![CDATA[Amazon RDS]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[announcements]]></category>
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		<category><![CDATA[RDS for Oracle]]></category>
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		<category><![CDATA[Week in Review]]></category>
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					<description><![CDATA[I’ve just returned from data and machine learning (ML) conferences in Los Angeles and San Francisco, California. It’s been great to chat with customers and developers about the latest technology trends and use cases. This past week has also been packed with launches at AWS. Last Week’s Launches Here are some launches that got my […]]]></description>
		
		
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		<title>Build workflows for Amazon Forecast with AWS Step Functions</title>
		<link>https://noise.getoto.net/2021/11/01/build-workflows-for-amazon-forecast-with-aws-step-functions/</link>
		
		<dc:creator><![CDATA[James Beswick]]></dc:creator>
		<pubDate>Mon, 01 Nov 2021 14:24:04 +0000</pubDate>
				<category><![CDATA[Amazon Forecast]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[AWS Step Functions]]></category>
		<category><![CDATA[contributed]]></category>
		<category><![CDATA[serverless]]></category>
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					<description><![CDATA[This post shows how to create a Step Functions workflow for Forecast using AWS SDK service integrations, which allows you to use over 200 with AWS API actions. It shows two patterns for handling asynchronous tasks. The first pattern queries the describe-* API repeatedly and the second pattern uses the “Retry” option. This simplifies the development of workflows because in many cases they can replace Lambda functions.]]></description>
		
		
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		<title>Improving Retail Forecast Accuracy with Machine Learning</title>
		<link>https://noise.getoto.net/2021/07/27/improving-retail-forecast-accuracy-with-machine-learning/</link>
		
		<dc:creator><![CDATA[Soonam Jose]]></dc:creator>
		<pubDate>Tue, 27 Jul 2021 00:41:26 +0000</pubDate>
				<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Amazon Forecast]]></category>
		<category><![CDATA[Amazon Machine Learning]]></category>
		<category><![CDATA[Amazon QuickSight]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[aws solutions]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
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					<description><![CDATA[The global retail market continues to grow larger and the influx of consumer data increases daily. The rise in volume, variety, and velocity of data poses challenges with demand forecasting and inventory planning. Outdated systems generate inaccurate demand forecasts. This results in multiple challenges for retailers. They are faced with over-stocking and lost sales, and […]]]></description>
		
		
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