MLOps is a specialized software designed to streamline the deployment, monitoring, and management of machine learning models in production environments. It focuses on integrating machine learning workflows with DevOps practices, ensuring that models can be developed, tested, and deployed in a consistent and efficient manner. MLOps platforms typically provide features such as model versioning, automated training pipelines, and performance tracking to ensure that models are accurate and reliable over time. They also facilitate collaboration between data scientists, engineers, and operations teams by offering tools for version control, model validation, and continuous integration. The software allows for easier scaling of machine learning projects, improving the efficiency of the deployment cycle while reducing errors. By automating various parts of the machine learning lifecycle, MLOps helps organizations bring their AI models to market faster and more effectively, improving both operational and business outcomes.
Neuromation
2017
Estonia
Proprietary
Model Training