Technical Talks

ABOUT THE TALK

• AI & Data Culture

The modern data landscape is dominated by complexity: tables, schemas, pipelines, warehouses, and more. Yet the most successful data platforms share a common principle—they make data itself invisible to the end user. When data infrastructure functions optimally, it's like good plumbing: you only notice it when something breaks. Organizations often fixate on the mechanics of data while losing sight of what truly matters: metrics, dimensions, and semantics. When users engage with meaningful abstractions rather than technical details, they make better decisions faster. In this talk, you'll learn strategies for making data invisible through real-world abstraction success stories, designing effortless interactions, and implementing governance through abstraction. Walk away with practical ways to assess your data stack, advocate for user-centric approaches, and measure progress—making your data platform not just powerful, but invisible in all the right ways.