Data Ideas Podcast Ep. 69 - With Brian Julius (Learning About Model Context Protocol - MCP)
Aug 15, 2025
Brian Julius, a data scientist specializing in Model Context Protocol (MCP) and creator of the 'Data Mad Science' YouTube channel, dives into the transformative world of MCP. He explains how MCP personalizes analytics stacks, enhancing accuracy and efficiency in data analysis. The conversation also touches on embracing a 'mad scientist' approach to foster innovation in data careers. Brian highlights the role of AI in data tools and the growing importance of community engagement in the evolving data landscape.
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Episode notes
Lean Into Rapid Learning
- Brian sees rapid weekly shifts in data and AI, so he experiments constantly to keep up.
- He balances client work, personal projects, and community discussions to learn quickly.
Public Experimentation As Career Portfolio
- Brian started Data Mad Science to publish experimental, unpolished projects publicly and learn faster.
- A small group of practitioners continuously push tool boundaries and share results with the community.
Code-First Is Better For AI
- AI prefers code-first workflows, not UI click-and-drag paradigms used by BI tools.
- Moving to terminal/code-based interfaces unlocks large productivity gains for visualization and automation.
