沙利文发布《决策智能：重塑产业经济的“AI第三极”》
Frost & Sullivan Releases the “ Decision Intelligence: Reshaping the Industrial Economy as the‘Third Pole of AI’”
人工智能的能力演进正由信息感知与内容生成，进一步走向面向真实产业场景的优化决策与行动执行。决策式AI通过融合预测分析、数学优化、业务规则与反馈学习，将复杂目标和资源约束转化为可执行、可验证、可审计的行动方案，为能源电力、智能制造、交通物流、航空航天等高价值、低容错场景提供新的智能化路径。
决策式AI的产业化并非单一模型或单点工具的竞争，而是对算力底座层、决策能力层与行业交付能力的系统性考验。当前全球产业仍呈现分层发展的格局，单层能力在复杂场景中往往面临性能、接口或落地边界。行业正加快推动异构计算、优化引擎、智能建模与业务系统纵向协同，以支撑电网调度、复杂排产、交通优化、轨迹规划等任务的稳定求解，并提升核心技术自主可控与跨场景复制能力。
展望未来，随着“人工智能+”持续深化，以及大模型、智能体与运筹优化加速融合，决策式AI有望由头部场景验证走向更广泛的产业应用。白皮书通过梳理技术架构、产业格局与行业应用，为行业构建可信、可执行的智能决策能力提供参考。
Artificial intelligence is evolving beyond perception and content generation toward optimization-driven decision-making and action in real-world industries. By integrating predictive analytics, mathematical optimization, business rules and feedback learning, Decision AI translates complex objectives and resource constraints into executable, verifiable and auditable action plans. This capability is increasingly relevant to high-value, low-tolerance scenarios in energy and power, advanced manufacturing, transportation and logistics, and aerospace.
The industrialization of Decision AI is not a contest of individual models or point tools, but a systemic test of computing infrastructure, decision platforms and industry delivery. Across the global market, these capabilities remain largely distributed across separate layers, creating performance, integration and deployment constraints in complex applications. The industry is therefore moving toward closer coordination among heterogeneous computing, optimization engines, intelligent modeling and operational systems to support reliable optimization in grid dispatch, production scheduling, transportation and trajectory planning, while improving technological autonomy and repeatability across scenarios.
Looking ahead, as the “AI Plus” initiative advances and large models, agents and operations research converge, Decision AI is expected to move from flagship use cases toward broader industrial adoption. By examining its architecture, competitive landscape and industry applications, the report provides a structured reference for building trustworthy and executable decision capabilities.
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沙利文 李女士
E-mail: livia.li@frostchina.com
