Amazon Q Developer is now generally available in Amazon SageMaker Canvas
Today, we are announcing that Amazon Q Developer is generally available in Amazon SageMaker Canvas. Amazon Q Developer provides generative AI-powered assistance throughout the machine learning (ML) lifecycle, enabling users of all skill levels to build production-ready ML models using natural language. With this release, Amazon Q Developer introduces new capabilities including support for additional ML use cases, enhanced data analysis, and improved responsiveness.
In addition to regression and classification predictive models, starting today users can build time-series models with Amazon Q Developer to support use cases such as forecasting product sales and resource demand. In addition, Amazon Q Developer now analyzes up to 25,000 rows of data for statistical computations on dataset features, while offering simplified customization of AutoML model training configurations to balance speed and accuracy. Additionally, Amazon Q Developer also delivers faster response times, resulting in more efficient guidance throughout the ML lifecycle, from data preparation to model deployment.
Amazon Q Developer is now generally available in Amazon SageMaker Canvas in a total of 11 AWS Regions with today's launch of five additional Regions: US East (Ohio), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), and Europe (Ireland). To learn more about using Amazon Q Developer with SageMaker Canvas, visit the website or view the technical documentation.