Amazon Personalize improvements reduce model training time by up to 40% and latency for generating recommendations by up to 30%

We're excited to announce new efficiency improvements for Amazon Personalize. These improvements decrease the time required to train solutions (the machine learning models trained with your data) by up to 40% and reduce the latency for generating real-time recommendations by up to 30%. Amazon Personalize enables you to build applications with the same machine learning (ML) technology used by Amazon.com for real-time personalized recommendations--no ML expertise required. Amazon Personalize provisions the necessary infrastructure and manages the entire ML pipeline, including processing the data, identifying features, using the best algorithms, and training, optimizing, and hosting the models. When serving recommendations, minimizing the time your system takes to generate and serve a recommendation improves conversion.