SageMaker aims to make machine learning ... AWS wants to simplify the provisioning of compute when spinning up a Jupyter notebook with one click, as well as automating the tricky process of ...

improve workflow AWS said the new features will allow enterprises to scale governance across their ML model lifecycle. As the number of machine learning models increases, it can get challenging ...

AWS Step Functions is a serverless low-code service in the AWS Cloud for building workflows. Using AWS Step Functions, we can build a wide variety of applications involving workflows like ...

Cloud services are designed to take away a lot of the complexity associated with managing a particular process ... machine learning is quickly gaining traction with developers, and AWS wants ...

Back in December, when AWS ... machine learning pipeline When Amazon launched SageMaker Studio, they made clear the pain points they were aiming to solve: “The machine learning development ...

In order to forecast demand, Amazon Connect uses machine learning ... item. AWS also said that it was adding two new capabilities—evaluating agents and recreating contact center workflow ...

COMPANY NEWS This pioneering development is set to accelerate machine learning workflows by allowing PyTorch users on AWS Hybrid Edge ... Cloudian simplifies the ML process, reducing both ...

training analysts and others on machine learning and continually updating data pipelines, according to AWS. The dashboard will enable individuals to create rule-based workflows for record-matching and ...

New solution allows customers to unify data across platforms, leverage powerful analytics on AWS, and seamlessly trigger ServiceNow workflows ... analytics, machine learning (ML), and deeper ...