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公式動画＆関連する動画 [Why Code-First AI Systems Fail (And How to Fix It)]
To build a successful multi-agent system, the foundation has to be data-first, not code-first. Forrester Principal Analyst Devin Dickerson explains why a “code-first” mentality often leads to technical debt and why flexible schemas, strong prompts, and high-quality data are the essential pillars for agentic processes. He shares how to turn AI outputs into tangible business value without overtuning controls and eroding the “magic” of generative AI, and how a data-centric approach enables dynamic application behavior in real-world environments.
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