Digazu’s MLops platform optimizes the ML lifecycle from development to production. It offers a flexible solution for data scientists, with accelerators to start exploring data and building models quickly while implementing best practices. Data scientists work from their web browser, benefiting from an open environment in a scalable architecture. Once the development is completed, the deployment of the model training and model serving pipelines is easily automated.
Empower your data scientists through Digazu’s MLops platform. It will help you enhance your data scientists’ productivity and effectiveness. Set up your customized analytical environments in just a few clicks.
Use the MLops’s sharing and collaborative features to make it easy for you teams to learn from each other. The gained expertise enhances the effectiveness and robustness of their predictive models to create added-value.