操作您的AI.

Developing an AI model is only the first step in an AI DevOps process. Gartner estimates that “by 2022, at least 50% of machine learning projects will not be fully deployed in production.”* To reap the business benefits from your AI investment, the model must be operationalized into a production deployment. Deploying to an operational system is more than just providing a RESTful API endpoint.

In this Gartner report, you will discover:

• Best practices for AI DevOps, which incorporates MLOps and DataOps
• Key challenges technology leaders face in moving AI and machine learning models to production
• How and where DevOps helps shorten the time and reduce the risk of operationalizing models in production
• The importance of DataOps culture

您可以部署您的MATLAB^®AI模型到车辆，工业设备，操作系统，企业应用程序或基于浏览器的应用程序，而无需以另一种语言重新编码。