Azure Machine Learning
Accelerate the end-to-end machine learning lifecycle. Empower developers and data scientists with a wide range of productive experiences for building, training, and deploying machine learning models faster. Accelerate time to market and foster team collaboration with industry-leading MLOps—DevOps for machine learning. Innovate on a secure, trusted platform, designed for responsible ML. Productivity for all skill levels, with code-first and drag-and-drop designer, and automated machine learning. Robust MLOps capabilities that integrate with existing DevOps processes and help manage the complete ML lifecycle. Responsible ML capabilities – understand models with interpretability and fairness, protect data with differential privacy and confidential computing, and control the ML lifecycle with audit trials and datasheets. Best-in-class support for open-source frameworks and languages including MLflow, Kubeflow, ONNX, PyTorch, TensorFlow, Python, and R.
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SigmaRed
Our platform dynamically assesses and mitigates AI risks in models and datasets concerning bias, proxy bias and fairness. Our Responsible AI technology enables deeper visibility into AI models and makes them explainable and interpretable. Our research-based AI robustness assurance algorithms identify and mitigate risks related to lack of robustness. Our platform reviews AI landscape about various AI and MRM regulations and provides deeper risk analysis, comprehensive reporting, and automated remediation. AI risks across in-house AI systems as well as AI systems provided by third parties need to be assessed and remediated. SigmaRed platform enables comprehensive third-party AI risk management (AI TPRM) and rapidly reduces the cycle time of conducting AI risk assessments while providing deep visibility, control, stakeholder-based reporting, and detailed evidence repository.
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FairNow
FairNow equips organizations with all the AI governance tools they need to ensure global compliance and manage AI risk. Loved by CPOs, CAIOs, risk management, and legal professionals, FairNow's features are simplified, centralized, and empowering for the entire team. FairNow’s platform continuously monitors AI models to ensure that every model is fair, compliant, and audit-ready.
Top features include:
- Intelligent AI Risk Assessments: Conduct real-time assessments of AI models, using their deployment locations to highlight possible reputational, financial, and operational risks.
- Hallucination Detection: Proactively detect errors and unexpected answers.
- Automated Bias Evaluations: Automate bias evaluations and mitigate algorithmic bias as it happens.
Plus:
- AI Inventory
- Centralized Policy Center
- Roles and Controls
FairNow’s AI governance platform helps organizations build, buy, and deploy AI with complete confidence.
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Amazon SageMaker
Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. SageMaker removes the heavy lifting from each step of the machine learning process to make it easier to develop high quality models.
Traditional ML development is a complex, expensive, iterative process made even harder because there are no integrated tools for the entire machine learning workflow. You need to stitch together tools and workflows, which is time-consuming and error-prone. SageMaker solves this challenge by providing all of the components used for machine learning in a single toolset so models get to production faster with much less effort and at lower cost. Amazon SageMaker Studio provides a single, web-based visual interface where you can perform all ML development steps. SageMaker Studio gives you complete access, control, and visibility into each step required.
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