Question: I'm looking for a solution that helps ensure data quality, compliance, and identity resolution for my AI/ML projects.

For data quality, compliance and identity resolution for your AI/ML projects, Collibra is a good option. The company has a range of data management tools, including AI Governance, Data Catalog, Data Governance and Data Quality & Observability. Data quality monitoring, pipeline reliability monitoring and integrated data management can help automate processes, cut manual labor and give you a unified view of data assets across your organization.

Another mature option is Informatica, a cloud-based AI-infused data management company. Its CLAIRE AI engine automates data integration jobs and can handle data catalog, data integration, data quality and observability. Informatica's modern data architecture and data security features make it a good choice for companies trying to move beyond legacy data management techniques and make their data AI-ready.

For data security and compliance, BigID offers a next-gen data visibility and control platform. It includes AI-based security tools, data discovery and classification, and end-to-end data management. BigID's machine learning technology and ability to handle petabyte-scale data makes it a good option for improving data security posture and meeting regulatory requirements.

Last, Securiti offers a Data Command Center that spans security, privacy, governance and compliance across hybrid multicloud data systems. It includes data discovery, security, sensitive data intelligence and AI model discovery. With its broad span of data systems and support for global regulatory requirements, Securiti helps organizations get compliance and data security under control.