What does it really take to move from a RAG chatbot to an agentic AI system? In this talk, I’ll share the technical and organizational lessons from our migration: the importance of framework choice, common design patterns for building AI agents, the hidden blockers in data foundations, and how we approach evaluation using Langfuse. Through live demos, I’ll illustrate key challenges and design decisions that shaped our system. Beyond the technical aspects, we’ll explore the evolving skill sets for AI teams, the impact of AI-assisted coding, and practical ways to measure real business impact.
talk-data.com
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Speaker
Zhengru Shen
1
talks
Senior Data Scientist
Odido
Zhengru Shen is a Senior Data Scientist at Odido, leading a team in building AI-powered solutions that drive efficiency and innovation. With over a decade of experience spanning Generative AI, MLOps, and data-driven product development, Zhengru has delivered large-scale applications such as voice analytics pipelines, RAG-based AI assistants, and financial email automation systems. Passionate about solving complex challenges, he brings a blend of technical expertise and leadership to advance real-world AI adoption.
Bio from: Agentic AI in Action: From RAG to Agents and Bringing Archives Back to Life
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