Accurate demand forecasting can help a company maximize revenue and minimize inventory costs. Traditional approaches to deploying MLbased forecasting required customers to click through user interfaces or learn how to use APIs and Jupyter notebooks. Both of these increase the barrier to ongoing, sustainable production operation at scale. In this session, learn how customers like Taco Bell are deploying nocode solutions that automate the Amazon Forecast pipeline using a number of AWS services, such as AWS Step Functions and AWS CloudFormation. This solution helps deploy and manage many decoupled and concurrent enterprisegrade workloads.

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