Democratize access to datasets
Teams are racing to furnish trusted enterprise data for AI initiatives. Yet they face vast amounts of data. Easily search for and discover the data needed for AI models. Ensure datasets have enough metadata to support understanding.
Track end-to-end ML lineage
Gain a holistic view of AI model lineage by cataloging ML Assets and models, including datasets, notebooks and vector databases to benefit ML workflows. *expected to be generally available in H1 2024
Active AI with active governance
Make active data governance a core pillar of how you work with enterprise datasets and AI models. Identify the appropriate data to use, and control role-based access to sensitive data. Embed trust and guidance into workflows by mandating filters with custom fields. Ensure compliance with organizational policies and monitor data lineage at scale.
Understand model decision-making
See the datasets that train AI models – and ensure trusted models are guiding the business. Monitor data quality with profiling and flag deprecated datasets with Trust Flags. Collaborate across teams on one platform.
