

David Jayatillake - Semantic Layers, Proving Value in Data Work, and More
10 snips Feb 12, 2025
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.
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Data-Driven Pricing Success
- David Jayatillake worked on a pricing team, building data models to analyze customer profitability.
- This led to pricing policy changes and campaigns that generated millions in profit.
Prioritize Value and Collaboration
- Connect data work to business value and prioritize tasks based on company objectives.
- Work closely with operational teams to ensure they have the necessary data.
Hortonworks Migration Failure
- A sister team at Worldpay spent years migrating to Hortonworks, only for cloud data warehouses to emerge and negate their efforts.
- This highlights the importance of speed and adaptability in data projects.