For most professional software developers, using application lifecycle management (ALM) is a given. Data scientists, many of whom do not have a software development background, often have not used ...
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 ...
Cloudera is betting that it can fuel future growth by becoming critical to deploying, managing and governing machine learning models across enterprises and industries. The company said its Cloudera ...
NEW YORK--(BUSINESS WIRE)--Wallaroo Labs today announced the availability of Wallaroo Enterprise Edition on Microsoft Azure Marketplace. Wallaroo’s model operations platform for deploying, observing, ...
Machine learning operations, better known as MLOps, is a strategic approach to machine learning model development that aims to standardize and make repeatable the machine learning model creation ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Ahead of its annual Build developer conference in Seattle, Washington ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More This article was contributed by Aymane Hachcham, data scientist and ...
Microsoft's annual developer conference kicks off on Monday, and the company will no doubt have all manner of things to announce for Azure and, if we're lucky, Windows. To whet our appetites, the ...
From AWS, Google and Microsoft to IBM, SAS and MathWorks, here are the 20 data science and machine learning platforms leading the global market today. The 20 World-Leading Data Science And Machine ...
Arize AI, a startup developing a platform for machine learning operations, today announced that it raised $38 million in a Series B round led by TCV with participation from Battery Ventures and ...
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