Talysson brings us key takeaways from QCon AI 2025: from next-gen AI products, data quality, architectural thinking, and avoiding AI amnesia!

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QCon AI New York 2025 highlighted critical lessons for building AI products at scale. Key takeaways include: AI product UX is still experimental and chat interfaces aren't the answer; data quality remains fundamental for AI success; architectural thinking and software design principles can't be abandoned in the AI era; governance and security controls are essential as agent autonomy increases; coding assistants require human oversight and work best in small, validated steps. The conference emphasized avoiding "architectural amnesia" by applying established engineering practices to AI systems, implementing proper boundaries and monitoring, and remembering that criminals can exploit AI automation for disinformation and fraud.

AI at scale – Lessons from QCon AI New York 2025 And why we can’t forget what we learned

We can’t forget all we learned about architecture

Human curiosity and ambition can lead to unintended consequences