This presentation will provide an overview of the terminology and basics of AI and ML in the context of Identity and Access Management (IAM) and Identity Governance and Administration (IGA). It will explore a number of current use cases for leveraging ML in IAM, demonstrating the benefits of automation and enhanced security that ML can bring to identity management. The presentation will conclude with strategic considerations for using ML in IAM, highlighting the importance of considering business value, available data, and existing technologies when implementing ML-based solutions for identity management.
