As firms accumulate vast amounts of data, the challenge of managing, securing, and optimizing this information becomes more complex. This session will explore how AI is transforming traditional data lakes from passive repositories into intelligent, self-managing systems while enhancing data governance practices. Our expert presenters will discuss how AI-driven solutions improve data security, privacy, and quality while ensuring regulatory compliance through automated monitoring and enforcement. Participants will learn how AI tools facilitate better data management, traceability, and scalability, making it easier to handle both structured and unstructured data.
Educational Objective
- Understand how AI enhances data governance through improved security and compliance enforcement.
- Explore AI's role in ensuring data quality by detecting and addressing inconsistencies in data lakes.
- Learn how AI automates data categorization and tagging for improved management of unstructured data.
- Discover how AI-driven solutions automate compliance adherence in real-time.
- Examine how AI improves data lineage tracking, offering clear traceability from data origin to consumption.
- Discuss AI's ability to scale and manage large datasets, enabling more flexible data governance frameworks.
