Integrate.ai is a platform that enables data science collaboration at scale without moving data. It uses federated learning technology to allow data and analytics providers to easily collaborate with enterprise data science teams. Key features include match rate analysis, exploratory data analysis, correlation analysis, model performance analysis, feature importance and data influence analysis, and model validation. It integrates with various data science tools like Azure, Jupyter, Databricks, AWS, GCP, Snowflake, Pandas, PyTorch, MLflow, and scikit-learn. The platform is designed to be efficient, unlock data experimentation, and be agnostic to existing infrastructure. Data governance controls are in place to ensure data security and privacy.
• federated learning
• exploratory data analysis
• model validation
• cross-cloud compatibility (azure, aws, gcp, snowflake, etc.)
• feature importance & data influence
• model performance analysis
• correlation analysis
• match rate analysis
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