Tag: Machine Learning

AWS

Google Cloud AI Platform Pipelines and AWS Bottlerocket: What DevOps Teams Need to Know

Google Cloud launched AI Platform Pipelines in beta to streamline ML workflows, while AWS introduced Bottlerocket, an open-source OS purpose-built for running containers. Here is what both announcements mean for DevOps and platform engineering teams.

AWS

HeleCloud CEO: ‘People Thought AWS Managed Everything for Them — But They’re Waking Up to the Reality’

HeleCloud CEO Dob Todorov explains why organisations are discovering that AWS does not manage everything for them, why specialist MSPs still add value in the cloud era, and where the market is heading.

AWS

AWS SageMaker Studio: A Critical Look at the ‘IDE for ML’ and What It Means for Data Scientists

AWS SageMaker Studio launched with bold promises as an integrated IDE for machine learning. We examine its key features—Notebooks, Debugger, Model Monitor, AutoPilot, and Experiments—and where the implementation falls short for data scientists.