David Jayatillake

David Jayatillake, an experienced AI leader and former VP at Cube.dev, delves into the intricacies of semantic layers and their crucial role in data management. He critiques proprietary BI tools for locking companies into confusing ecosystems, advocating for open-source solutions. The discussion extends to how AI agents can streamline data workflows by automating repetitive tasks and enhancing queryability. Jayatillake also highlights the potential of LLMs in building semantic layers and the significance of company-specific definitions for effective data analysis.

David Jayatillake, a seasoned data professional and VP of AI at Cube, shares insights into the evolving landscape of data analytics. He discusses the critical role of semantic layers in data querying and the shift towards AI-driven solutions. Jayatillake reflects on transforming data work into business value, the challenges of cloud migration, and the importance of adapting to rapid tech changes. He also highlights the implications of AI tools for developers, and the need for sustainability in the AI space, raising essential questions about the future of technology.

David Jayatillake, VP of AI at Cube, shares his expertise on the critical role of semantic layers in bridging raw data and actionable insights. He reveals how Cube achieved 100% accuracy in natural language data queries using semantic layers, vastly outperforming traditional methods. The conversation dives into the challenges of building these layers, emphasizing the significance of clear naming and documentation. Jayatillake also discusses future trends, including AI-powered features set to launch in 2025, and the potential of LLMs as intelligent agents.