Amazon Web Services has expanded the capabilities of its Amazon SageMaker machine learning ... model in production starts to deviate from that used to train the model. With SageMaker Model Monitor ...

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 and Facebook today announced two new open-source projects around PyTorch, the popular open-source machine learning framework. The first of these is TorchServe, a model-serving framework for ...

Today, machine learning ... the model. This includes the base algorithm for your model. For this part, you can bring your own such as the popular TensorFlow or you can use one of the ones AWS ...

“Machine learning is no longer the future,” Saha said. “Machine learning is the present that needs to be harnessed now.” Saha noted that customers approach machine learning in different ways, so AWS ...

AWS SageMaker Studio is a model training and workflow management tool that collects all the code, notebooks, and project folders for machine learning into one place, while SageMaker Notebooks lets ...

AWS's new GuardDuty and Macie offerings unleash the power of machine learning to secure your data. Are they right for your enterprise? Turning on machine-learning based cloud security tools like ...

Swami Sivasubramanian at the AWS keynote ... machine learning challenges for governance, Amazon is launching three new capabilities for SageMaker – ML Governance Role Manager, Model Cards ...

a solution architect at AWS (NASDAQ: AMZN). Open source tools for model development often advance a generation or two in the time it takes many enterprises to develop, train and launch a machine ...