Google launches Vertex AI platform to help companies adopt machine learning operations
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Google LLC is helping companies embrace the idea of what’s known as machine learning operations with the launch of a new managed platform today that it says will accelerate the deployment and maintenance of artificial intelligence models.
MLOps is to machine learning what DevOps is to application development. With MLOps, the idea is to add discipline to the development and deployment of machine learning models by defining processes that make machine learning development more reliable and productive.
The discipline brings together all of the engineering pieces that are required to deploy, run and train AI models. That includes steps such as data collection, data verification, feature engineering, resource management, configuration, model analysis and so on.
Google Cloud launches Vertex AI, a new managed machine learning platform
At Google I/O today Google Cloud announced Vertex AI, a new managed machine learning platform that is meant to make it easier for developers to deploy and maintain their AI models. It’s a bit of an odd announcement at I/O, which tends to focus on mobile and web developers and doesn’t traditionally feature a lot of Google Cloud news, but the fact that Google decided to announce Vertex today goes to show how important it thinks this new service is for a wide range of developers.
Google Cloud Launches Vertex AI, Making Machine Learning More Accessible and Useful For Developers and Businesses
New breakthrough managed ML platform empowers companies to more quickly and easily manage models, allowing them to keep pace with dynamic business needs
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SUNNYVALE, Calif., May 18, 2021 /PRNewswire/ Today at Google I/O, Google Cloud announced the general availability of Vertex AI, a managed machine learning (ML) platform that allows companies to accelerate the deployment and maintenance of artificial intelligence (AI) models. Vertex AI requires nearly 80% fewer lines of code to train a model versus competitive platforms