Key Features

• Automated Machine Learning (AutoML): Automatically builds hundreds of models and selects the best performing ones
• Model Deployment: Deploy models into production with monitoring and governance
• Visual AI: Build AI applications using visual workflow tools
• MLOps: Complete model lifecycle management with monitoring, retraining, and governance
• Bias and Fairness: Built-in tools to detect and mitigate model bias
• Explainable AI: Understand how models make predictions with interpretability features

Benefits

• Accelerates time-to-value for AI initiatives
• Enables collaboration between business users and data scientists
• Provides enterprise-grade security and governance
• Scales across cloud, on-premises, and hybrid environments
• Reduces the skills gap in data science teams