Posted On: Mar 16, 2020
HAQM Forecast is now available in the Asia Pacific (Sydney, Bombay) and EU (Frankfurt) regions. HAQM Forecast is a fully managed service that uses machine learning (ML) to generate accurate forecasts, without requiring any prior ML experience. HAQM Forecast is applicable in a wide variety of use cases including energy demand forecasting, product demand forecasting, inventory planning, workforce planning and cloud infrastructure usage forecasting.
HAQM Forecast produces private, custom models that can help developers make predictions that are up to 50% more accurate than traditional methods. Using machine learning, HAQM Forecast automatically discovers how variables such as product features, seasonality, and location affect each other. These complex relationships can be difficult to spot using traditional forecasting methods, but HAQM Forecast uses the machine learning developed at HAQM to quickly recognize complex patterns in data, to improve forecast accuracy. HAQM Forecast automatically sets up a data pipeline, ingests data, trains multiple machine learning forecasting models, selects the best performing model for your data, and provides a private API to download forecasts from. Developers do not need to have any expertise in machine learning to start using HAQM Forecast, and can use HAQM Forecast using an Application Programming Interface (API), or an easy-to-use console to build custom machine learning models in less than five clicks. With HAQM Forecast, customers can build forecasting models that usually take months of engineering effort, in as little as a few hours. Additionally, while using HAQM Forecast, you only pay for what you use, and there is no minimum fee or upfront commitment. To learn more about HAQM Forecast, visit the product page.
HAQM Forecast also supports the following regions: Northern Virginia, Oregon, Ohio, Ireland, Singapore, Tokyo and Seoul. Get started today by going to the HAQM Forecast console or documentation.