The few projects we have done have been promising.
Amazon SageMaker offers an extensive feature set, including AutoML, automated tuning, and seamless AWS integration, essential for managing ML workloads. Users appreciate its one-touch deployment and technical support. However, it's viewed as costly for large workloads, and monitoring capabilities need enhancement. Integration with serverless architectures and improved security features are desired. Despite these critiques, its comprehensive support across the ML lifecycle makes SageMaker a strong option for ambitious tech projects.
