Which AWS service is specifically designed for time-series forecasting using deep learning?

Amazon Forecast is specifically designed for time-series forecasting using deep learning techniques, making it the appropriate choice for this question. This service leverages machine learning to analyze historical data and identify patterns that can help predict future events. By automating the process of developing forecast models, it enables users to generate accurate predictions for time series data without requiring extensive machine learning expertise. This feature is particularly valuable in scenarios such as inventory planning, demand forecasting, and financial predictions, where understanding trends over time is critical.

In contrast, Amazon QuickSight is primarily a business intelligence service focused on data visualization and analytics rather than dedicated time-series forecasting. Amazon Redshift is a data warehousing service that facilitates storing and querying large datasets but does not offer built-in capabilities specifically for time-series forecasting. Amazon Kinesis is designed for real-time data streaming but does not inherently provide the forecasting capabilities that Amazon Forecast specializes in.