SigmaRed Reviews

AI and non AI models require risk management and oversight. Fairly is a continuous monitoring tool for advanced model governance. With Fairly, data science and cyber-security teams can easily collaborate with risk and compliance teams to ensure that models are reliable and secured. Fairly makes it simple to stay up to date with policies and regulations regarding procurement, validation, and audit of non AI, predictive AI, and generative AI. Fairly simplifies model validation and auditing by providing direct access to ground truth within a controlled environment, for both in-house models and third-party ones, without adding additional overhead to development or IT teams. Fairly's platform guarantees compliant, ethical, and secure models. Fairly helps teams identify compliance, operational, and model risks and mitigate them according to internal policies, external regulations, and monitor, report, and assess them.

Amazon SageMaker, a fully managed service, provides data scientists and developers with the ability to quickly build, train, deploy, and deploy machine-learning (ML) models. SageMaker takes the hard work out of each step in the machine learning process, making it easier to create high-quality models. Traditional ML development can be complex, costly, and iterative. This is made worse by the lack of integrated tools to support the entire machine learning workflow. It is tedious and error-prone to combine tools and workflows. SageMaker solves the problem by combining all components needed for machine learning into a single toolset. This allows models to be produced faster and with less effort. Amazon SageMaker Studio is a web-based visual interface that allows you to perform all ML development tasks. SageMaker Studio allows you to have complete control over each step and gives you visibility.