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Explore the critical intersection of semantic layers and AI agents in this 51-minute podcast episode featuring David Jayatillake, VP of AI at Cube.dev, who argues that the real battle in data isn't about AI but about who controls the semantics. Discover how proprietary BI tools quietly lock companies into their ecosystems, making data less open and less useful, while examining whether semantic layers should live in open-source hands and how AI agents might soon replace entire chunks of manual data engineering. Learn about best practices for abstracting semantic layers, the relationship between semantic layers and data modeling, and how to build agents specifically for semantic applications. Understand the productivity gains possible with AI agents, explore trade-offs facing modern data teams, and examine how data products can be optimized for LLMs. Investigate organizational intelligence trends and compare semantic layers versus feature stores in this comprehensive discussion that challenges conventional thinking about data ownership, access, and the future of data workflows from feature stores to LLM-driven analytics.
