target audience: TECH BUYER Publication date: May 2020 - Document type: IDC Perspective - Doc Document number: # US46262920
Machine Learning Development in the Public Cloud
Content
List of Figures
Get More
When you purchase this document, the purchase price can be applied to the cost of an annual subscription, giving you access to more research for your investment.
Related Links
Abstract
This IDC Perspective reviews opportunities and challenges faced by enterprises that are building and developing machine learning models in the public cloud. It also provides examples of companies doing machine learning projects in the public cloud today and offers guidance and best practices for organizations to consider when developing their own machine learning projects.
"AI and machine learning in the public cloud have seen tremendous growth over the past several years," said Dave Schubmehl, research director, AI Software Platforms, Content Analytics and Search. "This growth is being driven by the flexibility, agility, and capabilities that are now widely available through public cloud resources. Organizations are making use of open source and custom tools in the cloud that enhance and accelerate the development of machine learning models and applications."