The new Amazon EC2 Spot Ready specialization helps customers identify validated AWS Partner software products that support Amazon EC2 Spot Instances, a compute purchase option that allows customers to utilize spare EC2 capacity at a discounted price from on demand (up to 90%). Amazon EC2 Spot Ready ensures that customers have a well-architected and cost-optimized […]

Amazon SageMaker Data Wrangler reduces the time it takes to aggregate and prepare data for ML from weeks to minutes With Data Wrangler, you can simplify the process of data preparation and feature engineering, and complete each step of the data preparation workflow, including data selection, visualization, cleansing, and preparation from a low-code visual interface. […]

Amazon SageMaker Studio is a fully integrated development environment (IDE) for machine learning (ML) that enables ML practitioners to perform every step of the machine learning workflow, from preparing data to building, training, tuning, and deploying models. Today, we are announcing new capabilities in SageMaker Studio to accelerate real time collaboration across ML teams. Read […]

Amazon SageMaker JumpStart now enables you to more easily share machine learning (ML) artifacts, including notebooks and models, across your organization to accelerate model building and deployment. Amazon SageMaker JumpStart is an ML hub that accelerates your ML journey with built-in algorithms and pretrained models from popular model hubs, such as Hugging Face, and end-to-end […]

AWS Machine Learning University is now providing a free educator enablement program that prioritizes U.S. community colleges, Minority Serving Institutions (MSIs), and Historically Black Colleges and Universities (HBCUs). Educators can leverage these tools to launch stand-alone courses, certificates, or full degrees in data management (DM), artificial intelligence (AI), and machine learning (ML). The goal is […]

Amazon AppFlow announces the release of 22 new data connectors. With this launch, Amazon AppFlow now supports data connectivity to over 50 applications. Amazon AppFlow is a fully managed integration service that enables you to securely transfer data between Software-as-a-Service (SaaS) applications and AWS services like Amazon S3 and Amazon Redshift. As enterprises increasingly rely […]

Today, AWS announces the general availability of Amazon SageMaker Data Wrangler support for over 40 third party applications as data sources for machine learning (ML) through the integration with Amazon AppFlow. Amazon SageMaker Data Wrangler reduces the time it takes to aggregate and prepare data for machine learning (ML) from weeks to minutes. Preparing high quality […]