The dawn of AI heralds a seismic shift in data governance dynamics. The potential is colossal—enabling enterprises to wield mastery over data availability, utility, and fortification. From intuitively scouring corporate repositories with natural language search to automating data archival, and even scrutinizing user conduct for anomaly detection—AI's prowess holds transformative promise. However, this potency is not without its trials. Crafting AI models necessitates profound expertise, while the models themselves unfurl a tapestry of data security, transparency, and ethical quandaries.

In this session, we unravel the tapestry, exploring AI's ramifications for data governance, from chartering the redefined ladscape of data governance under AI's aegis, and navigating potential solutions and embarkment points.