China National AI Application Pilot Base (Industrial Software) Launched in Jinan
2026-06-24 08:58
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en.Wedoany.com Reported - On June 23, the Jinan AI + Industrial Software Innovation and Development Conference and the Construction Promotion Meeting for the China National AI Application Pilot Base (Industrial Software) were held in Jinan, Shandong. At the meeting, the China National AI Application Pilot Base (Industrial Software) was officially launched, and a three-year development plan for the base was released.

This pilot base is built for the integrated application of "AI + Industrial Software," with its core mission being to provide a platform for verification, trial use, and scenario adaptation for the intelligent upgrade of industrial software. Unlike ordinary office software, industrial software is often directly connected to key links such as R&D design, simulation verification, production scheduling, quality traceability, equipment operation and maintenance, and supply chain collaboration. Whether the software's capabilities can truly enter the manufacturing site requires repeated testing and optimization in environments close to real-world conditions.

The launch of the pilot base means that AI industrial software applications will move from model, algorithm, and single-point function demonstrations to the engineering verification stage. For industrial enterprises, AI capabilities can only enter the actual production system after data adaptation, business process embedding, equipment system integration, and reliability testing. The pilot base is responsible for this bridging role, transforming "technical samples into usable products."

The three-year development plan released simultaneously at the meeting will define phased goals and application pathways for the base's construction. Focusing on the key direction of industrial software, the base is expected to cover scenarios such as R&D design, production manufacturing, operations management, process optimization, quality control, and equipment operation and maintenance, promoting deeper integration of AI models, industrial mechanism models, enterprise data, and software platforms.

Inspur signed strategic cooperation agreements for the pilot base with over 20 industrial software enterprises and manufacturing companies nationwide. The partners cover both the supply side of industrial software and the application side of manufacturing, helping to connect the product capabilities of software companies, the scenario needs of manufacturing enterprises, and the verification platform of the base. For industrial software companies, the pilot base can provide a testing environment closer to real production; for manufacturing enterprises, it can also reduce the trial-and-error costs of directly introducing new AI industrial software.

Currently, industrial software is evolving from traditional process management tools to intelligent decision-making systems. After AI enters industrial software, it can play a role in design plan generation, simulation parameter optimization, production scheduling, quality defect identification, and predictive equipment maintenance. However, these capabilities cannot remain confined to laboratories and demonstration systems; they must undergo pilot verification to determine whether they are suitable for complex working conditions, stable operation, and actual enterprise management processes.

The launch of the China National AI Application Pilot Base (Industrial Software) in Jinan is also related to the local software industry and industrial digitalization foundation. As the capital of Shandong Province, Jinan has a certain industrial foundation in software, computing power, industrial internet, and manufacturing digitalization. After the national-level pilot platform is established, it is expected to further aggregate industrial software enterprises, manufacturing companies, research institutions, and application scenarios, forming a public verification capability for the intelligentization of industrial software.

The value of this launch lies not in simply releasing a platform name, but in establishing a "testing ground" for AI industrial software before it enters the manufacturing site. The closer industrial software gets to the core production links, the more it requires stability, reliability, and explainability. If the pilot base can continuously open up scenarios, accumulate datasets, form testing standards, and incorporate the real needs of signatory enterprises into the verification process, it will directly impact the speed at which AI industrial software moves from "being demonstrable" to "being deployable."

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