InfoWorld

Machine learning: The deplorable state of deployment

We’ve gotten pretty good at building machine learning models. From legacy platforms like SAS to modern MPP databases and Hadoop clusters, if you want to train up regression or classification models, ...
Business Wire

MLOps Company Iterative Introduces the First Open, Git-based Machine Learning Model Deployment and Management Tool

SAN FRANCISCO--(BUSINESS WIRE)--Iterative, the MLOps company dedicated to streamlining the workflow of data scientists and Machine Learning (ML) engineers, today launched Machine Learning Engineering ...
TechCrunch

Oracle open sources Graphpipe to standardize machine learning model deployment

Oracle, a company not exactly known for having the best relationship with the open source community, is releasing a new open source tool today called Graphpipe, which is designed to simplify and ...
insideHPC

Machine Learning Deployment Options: in the Cloud vs. at the Edge

In this special guest feature, Neil Cohen, Vice President at Edge Intelligence, examines the question: where should businesses develop and execute machine learning? This article explores the pros and ...
ZDNet

Apache Spark creators set out to standardize distributed machine learning training, execution, and deployment

We called it Machine Learning October Fest. Last week saw the nearly synchronized breakout of a number of news centered around machine learning (ML): The release of PyTorch 1.0 beta from Facebook, ...
dbta

ParallelM Addresses Machine-Learning Deployment Challenge

ParallelM, a provider of machine learning operationalization (MLOps) software, has released a new version of MCenter that includes REST-based serving using Kubernetes to create a no-code, autoscaling ...
InfoWorld

IBM sets up a machine learning pipeline for z/OS

z System users with data behind their firewalls can now access IBM's training and deployment system for machine learning, packaged for convenience If you’re intrigued by IBM’s Watson AI as a service, ...