从技术验证到业务落地：智能体的下一步该怎么走

TL;DR - A Shenzhen industry forum examined how AI agents can move from demos into dependable enterprise deployments. Speakers emphasized context and memory infrastructure, controlled knowledge engineering, low-code orchestration, and delivery of usable business outputs.

• Long-running, multi-step agents need engineered memory and context management to remain coherent and consistent.
• Enterprise adoption depends on overcoming hallucinations and misuse through granular control of knowledge structures.
• Visual orchestration, multimodal perception, private deployment, and end-to-end governance can lower implementation and operational barriers.
• Vertical agents increasingly compete on the quality of completed deliverables—not merely their conversational ability.