This post is a joint collaboration with Andries Engelbrecht and James Sun of Snowflake, Inc.
The cloud computing revolution has enabled businesses to capture and retain corporate and organizational data without capacity planning or data retention constraints. Now, with diverse and vast reserves of longitudinal data, companies are increasingly able to find novel and impactful ways to use their digital assets to make better and informed decisions when making short-term and long-term planning decisions. Time series forecasting is a unique and essential science that allows companies to make surgical planning decisions to help balance customer service levels against often competing goals of optimal profitability.
At AWS, we sometimes work with customers who have selected our technology partner Snowflake to deliver a cloud data platform experience. Having a platform that can recall years and years of historical data is powerful—but how can you use this data to look ahead and use

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