This session reveals how MCP Servers are transforming data analysis workflows from complex, multi-step pipelines to direct question-and-answer interactions. We’ll explore the critical context gap that makes basic AI implementations fail, introduce semantic layering as the breakthrough solution, and demonstrate real-world implementation strategies. We’ll discuss how the data analyst role is evolving, not disappearing, and what new skills and capabilities analysts need to thrive in this AI-powered environment.



DAY 1
15:35-16:05 JST
Seminar Room B
KoJaEn
Streaming
Replacing Data Analysts with AI - Building Data Pipelines and Automating Analysis with Generative AI
Speaker

Since 2022, I have worked at LINE Plus handling data across a range of domains, including anomaly detection, recommendation system development, and the design and analysis of AI service logs.
Currently, I am actively exploring and implementing ways to leverage AI to enhance operational efficiency.

Choi Shinae / LINE Plus
AI Development > ML Product Strategy
I work as a data analyst and am working on a project to automate data analysis processes using generative AI, drawing on my hands-on analytical experience.