David Jayatillake

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.

David Jayatillake, a seasoned data leader with a rich background in startups and firms like Cube and Delphi Labs, dives deep into the evolving concept of semantic layers. He outlines how these layers can transition from being locked within BI tools to becoming AI-driven frameworks that streamline data access. The conversation highlights the significance of collaborative metric definitions and the integration of AI for optimizing data clarity. Jayatillake also shares insights on building effective semantic layers and the future of data standards in a rapidly changing landscape.