In AWS, what is Amazon Forecast primarily used for?

Amazon Forecast is primarily used for time series forecasting using machine learning. This service enables users to generate accurate forecasts based on historical time series data, helping organizations to predict future values and trends in various metrics such as sales, inventory levels, and product demand.

Forecast leverages machine learning models to analyze patterns in historical data and incorporate various factors such as seasonal trends and special events, ultimately providing more reliable predictions than simple statistical methods. It automates complex modeling processes while still allowing for fine-tuning and customization based on specific business needs.

The other options focus on different aspects of machine learning that are not the primary function of Amazon Forecast. Automating data labeling pertains to tasks that categorize or tag data, which is not the purpose of Amazon Forecast. Image recognition involves identifying objects or patterns in images and is handled by services focused on visual data analysis, not by time series forecasting tools. Natural language processing focuses on making sense of human language data, a completely different domain from time series predictions that Amazon Forecast is designed to tackle.