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 ...
VentureBeat

Machine learning deployment platform OctoML raises $85M

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Forbes

Why Most Machine Learning Applications Fail To Deploy

With all the hype around AI, especially generative AI chatbots, the topic is getting a lot more attention from businesses and the general public. Machine learning (ML), especially deep learning and ...
InfoWorld

MLops: The rise of machine learning operations

Once machine learning models make it to production, they still need updates and monitoring for drift. A team to manage ML operations makes good business sense As hard as it is for data scientists to ...
EDN

Multi-tier machine learning helps speed edge AI deployment

Implementing artificial intelligence (AI) at the edge requires a tradeoff between cost and performance in processing and considerable development effort. Throwing in machine learning to make the edge ...