目前,政和科技的AI能力已深度融入研发管理、知识产权保护、政策申报及科创资源匹配等企业创新全 链条。其打造的"企业科创智能体",可实现研发项目动态评估、专利风险实时预警、政策精准触达等智 能化服务,显著提升山东企业创新效能。 "山东完备的产业体系是人工智能应用的天然试验场。"朱涛表示,作为服务全省30%以上高新技术企业的 科技服务龙头,政和将持续深化技术融合创新,以"分钟级响应"的智能服务,赋能山东产业治理体系升级,为 数字强省建设提供核心驱动力。 8月6日下午,在"产业链上的山东好品牌"系列现场记者见面会上,政和科技股份有限公司董事长朱涛介绍, 通过"大模型+大数据+软件工程"深度融合,公司正推动产业服务效率实现从"月级"向"分钟级"的历史性 跨越,为山东产业升级注入智能新动能。 记者闫聪 依托十余年科技服务积淀,政和科技建成覆盖全国的产业大数据资源池,汇聚超6亿条高价值数据。其自主 研发的"政和策问"大模型,于2024年通过国家网信办"双备案",成为全国首个获批的产业智能服务大模型, 构筑起智能化服务的核心基座。 "人工智能正在创造'乘法效应'。"朱涛现场阐释,通过智能生成、精准分析与流程管控的三维融合, ...

Core Insights - The event highlighted the strength of Shandong's artificial intelligence products and discussed new opportunities for industrial development in the smart era [1] Group 1: Company Developments - Zhenghe Technology has integrated "large models + big data + software engineering" to enhance service efficiency from a monthly to a minute-level response [1] - The company has established a national industrial big data resource pool with over 600 million high-value data entries [5] - Zhenghe's self-developed "Zhenghe Inquiry" large model is set to become the first approved industrial intelligent service model in China by 2024 [5] Group 2: Industry Impact - Artificial intelligence is creating a "multiplicative effect," allowing tasks that previously required multiple personnel over months to be completed by one person in a day [6] - The integration of intelligent generation, precise analysis, and process control is significantly speeding up high-frequency service responses to a minute-level [6] - Zhenghe Technology is preparing for the "Year of Intelligent Agents" in 2025, focusing on a collaborative ecosystem across government, enterprises, and institutions [7] Group 3: Future Outlook - The company aims to enhance industrial governance in Shandong by providing intelligent services that respond in minutes, contributing to the construction of a digital strong province [7] - Zhenghe Technology's AI capabilities are deeply embedded in the entire innovation chain of enterprises, improving efficiency in R&D management, intellectual property protection, and policy application [7]