Machine Learning

MLOps Initiatives Seek to Boost Stalled Deployments

The deployment of machine learning models in production is failing to keep pace with the everyday operations of hyper-scalers. Those scaling and deployment gaps are being addressed through collaborations ...Full Article

Enterprise ML Moves Slowly Up the Value Chain

While developers are moving up the machine-learning learning curve, a vendor survey finds they still have a way to go in scaling ML deployments. Algorithmia’s annual survey of the ...Full Article

Kubernetes Gets a GPU Boost

An infrastructure vendor zeroing in on AI and machine learning workloads has added GPU support to a Kubernetes-based appliance designed to handle those emerging applications in containers while adding ...Full Article

AWS’s Web-based IDE for ML Development: SageMaker Studio

AWS, Azure, Google Cloud, IBM Cloud, Oracle – they’ll all vying to become the dominant force of gravity in the public cloud services market, and among the most fiercely ...Full Article

What to Ask When Implementing Machine Learning

Successfully operationalizing machine learning models in production environments can be incredibly difficult, as the industry has already seen. In fact, Gartner has predicted 85 percent of AI projects in ...Full Article

At SC19: Who’s Accountable ‘When Technology Kills’?

“One of the things we are witnessing is the compute requirement for (AI) training jobs is doubling every three-and-a-half months. So we were very impressed with Moore’s Law doubling ...Full Article

Microsoft Azure Adds Graphcore’s IPU

Graphcore, the U.K. AI chip developer, is expanding collaboration with Microsoft to offer its intelligent processing units on the Azure cloud, making Microsoft the first large public cloud vendor ...Full Article

Merger Complete, Dell Rolls Automated IT

Dell Technologies this week rolled out its data-driven vision of the automated IT infrastructure for the next decade, signaling in the process that it has completed the integration of ...Full Article