Prukalpa Sankar

Barr Moses, CEO of Monte Carlo, Prukalpa Sankar, Founder of Atlan, and George Fraser, CEO of Fivetran, dive into the pressing issues of data quality in the realm of generative AI. They explore the critical need for high-quality data and the unique challenges organizations face. The discussion highlights the importance of trust and transparency in dynamic data ecosystems, along with best practices for fostering collaboration. They also present a structured three-step framework for enhancing data quality and the role of leadership in driving effective governance.

Prukalpa Sankar, Co-founder and CEO of Atlan, discusses transforming organizations into AI-native entities. He highlights the importance of context in leadership hiring and the strategic balance between building and buying AI tools. Prukalpa elaborates on fostering remote-first cultures and shares insights on the future of metadata in enterprises. The conversation also touches on the humorous implications of unique names and their social significance, providing a light-hearted contrast to the tech-centric themes.

Prukalpa Sankar, Co-founder and CEO of Atlan, leads a platform for data and AI governance. In their conversation, he reveals why 75-95% of enterprise AI pilots fail, attributing it to context gaps rather than just data complexity. He discusses the importance of a dynamic context layer that integrates data, business meaning, and governance. Prukalpa also shares insights on improving accuracy and ROI through context-ready practices, and emphasizes that businesses must co-own AI adoption to remain relevant in the rapidly evolving landscape.