2 years ago

Low-code/no-code underpinned some of https://aws.amazon.com/?utm_content=inline-mention’ (AWS) key announcements at its annual Re:Invent users conference in Las Vegas, including the availability of the no-code platform https://aws.amazon.com/blogs/aws/announcing-amazon-sagemaker-canvas-a-visual-no-code-machine-learning-capability-for-business-analysts/ for https://thenewstack.io/category/machine-learning/ (ML). AWS also introduced https://aws.amazon.com/amplify/studio/ for web-application development, a tool to cut (though not eliminate) the amount of code written for the https://aws.amazon.com/amplify/ web development stack.

But in the case of AWS, the cloud service provider giant is touting its release of Amazon SageMaker Canvas specifically as a no-code for ML. AWS says it allows business analysts to build ML models for predictions without having to know how to write code or have ML expertise.

He showed how a new ML model is then created by selecting New model in the Models section.