AI agents and the data lake

Lauren Anderson, leading the enterprise data platform at Okta, discusses the pivotal role of identity in navigating the evolving landscape of AI agents and open data lakes in an episode of The Analytics Engineering Podcast. She emphasizes the importance of central governance and a shared semantic layer for managing these shifts, arguing for a clear division of labor between analytics and data engineers as AI agents increasingly handle analytical queries. Lauren reflects on her career journey from banking to B2B data, highlighting the complexities of handling enterprise data at Okta, where she oversees data ingestion, transformation, and delivery processes. She explains how Okta's security-first approach is streamlined through repeatable frameworks, allowing for faster risk assessments and governance processes. The conversation also explores the integration of AI agents into data platforms, advocating for centralized, governed access to ensure security and efficiency, while predicting that agents will soon generate more analytical queries than humans.

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