Demand Forecasting - AWS Whitepaper
https://docs.aws.amazon.com/pdfs/whitepapers/latest/demand-forecasting/demand-forecasting.pdf
AbstractAre you Well-Architected?IntroductionBackgroundChallenges to adopting AI/ML-based demand forecastingAddressing the challenges with demand forecasting solutions on AWSAdequate data to start: sources of data and data handlingSolutionsExternal data ingestionData science expertise: empower your development teams with Amazon ML servicesTeams with data science expertiseTeams without data science expertiseAmazon ForecastTime series forecasting with Amazon ForecastBuilding competitive demand forecasting modelsModel lifecycle and ML operations (MLOps) for robust demand forecastingSageMaker Data Wrangler.The machine learning lifecycleComplementary AWS services include Amazon CloudWatch and Amazon Simple NotificationML operations with AWS Step FunctionsAWS Step Function steps example for an ML forecasting workflowIncorporating and interpreting AI/ML-based demand insights into the decision cyclesExample architecturesEnergy forecasting exampleETL and data lake) as follows:Consumer Packaged Goods (CPG) forecasting exampleConclusionContributorsDocument revisionsAWS GlossaryAmazon Web Services (AWS) customers look for easier, faster, more accurate, and more cost-effective ways to forecast the demand for their products, services, and materials. This whitepaper provides best practices, architectural patterns, technologies, and recommendations about demand forecasting on AWS. This paper addresses a wide array of readers,...See more on docs.aws.amazon.com Amazon Web Services (AWS) customers look for easier, faster, more accurate, and more cost-effective ways to forecast the demand for their products, services, and materials. This whitepaper provides best practices, architectural patterns, technologies, and recommendations about demand forecasting on AWS. This paper addresses a wide array of readers,... free
Amazon Web Services (AWS) customers look for easier, faster, more accurate, and more cost-effective ways to forecast the demand for their products, services, and materials. This whitepaper provides best practices, architectural patterns, technologies, and recommendations about demand forecasting on AWS. This paper addresses a wide array of readers,...
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