Published: 17 April 2023
模拟技术可以帮助人工智能（AI）从业者扩展AI模型的生产数量和种类，同时减少风险和技术债务。AI模拟领域的最酷厂商展示了AI与模拟技术相结合的益处，指明了AI架构和设计的未来方向。
许多买家和AI从业者不熟悉模拟技术及其与AI的关系。
强化学习方法日趋成熟，而模拟平台是一种重要工具，可用于托管AI模型赖以训练和学习的可复用环境。
模拟平台将物联网（IoT）、软件工程和AI开发连接起来，可创建支持多领域协作的共享环境模型。
负责AI战略与规划的数据和分析领导者，应：
审视企业机构目前与模拟相关的工作（包括预测模型、IoT、合成数据和优化工作），明确AI模拟用例，探索如何将其作为可复用资产来进行AI模拟开发。
与IoT团队、软件工程团队，物流和企业资源规划（ERP）等特定职能合作，共同开发可复用环境（包括经济计量、物流和行为要素），以支持“假设”场景和模型开发。
选择供应商，重点关注AI和模拟能力融合度日益提高的平台。
扩大采购讨论的参与范围，将AI团队之外的其他工程职能和科学领域也纳入其中。
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