MLOps

MLOps is the key to operationalizing machine learning models, ensuring that they not only perform well during development but also seamlessly integrate into your production environment. Galaksiya's MLOps service empowers your team to deploy, monitor, and manage machine learning models effectively.
MLOps is an approach and a set of services used to manage the lifecycle of machine learning models. The primary goal of MLOps is to ensure the smooth operation of these models in real-world environments. To enable this goal, the model needs to be continuously monitored, updated, and optimized. Factors such as changes in data, usage scenarios, or objectives can affect the performance of the model. MLOps adapts to such changes, ensuring that the model remains current and effective.

In summary, MLOps provides the processes and tools necessary to manage and operationalize the lifecycle of machine learning models. This enables the successful integration of an ML model into production environments, ensuring its currency and efficient operation.