On April 17, the Jiangsu Provincial State-owned Enterprise Artificial Intelligence Application Scenario Launch Conference was held in Nanjing. Shen Jianrong, Vice Governor of Jiangsu Province, attended the event and officiated at the launch ceremony. As a representative enterprise in the artificial intelligence sector of Jiangsu Province, Luculent was invited to the conference. Gathering with the Jiangsu State-owned Assets Supervision and Administration Commission (SASAC), provincial state-owned enterprises, research institutes, universities and industry partners, Luculent shared its digital and intelligent innovation achievements as well as industry solutions, and jointly explored new paths for the implementation of industrial AI.
At the conference, relevant officials from the Jiangsu Development and Reform Commission interpreted the province’s AI policy system. Ten provincial state-owned enterprises including Jiangsu Guoxin Group and Jiangsu Communications Holding introduced their practical exploration and scenario development demands in the AI field. A total of 67 high-value AI application scenarios from 21 provincial state-owned enterprises were unveiled on site, covering multiple sectors such as energy, transportation, agriculture, environmental protection, unmanned operation and computing power scheduling. Centering on the actual operational needs and pain points of enterprises, these scenarios were compiled into a demand list, with technical solutions openly solicited from all sectors of society.
During the supply-demand roadshow, experts from Luculent pointed out that the first half of AI competition focuses on technology, while the second half hinges on scenario value. The core of high-value application scenarios lies in cost reduction and efficiency improvement for enterprise operation. By deeply integrating AI into business processes, enterprises can address operational pain points, generate tangible benefits, drive industrial upgrading, and advance the shift of artificial intelligence from technological innovation to value realization.
Currently, the biggest challenge for the value-based application of AI lies in difficult industrial implementation. First, constrained capital makes it difficult for enterprises to afford the high costs of computing power equipment and software applications. Second, there is a severe shortage of interdisciplinary talents proficient in both industrial processes and AI technologies. Third, insufficient data scale and poor data quality fail to support the pre-training of AI models. Drawing on 27 years of in-depth industry experience, Luculent put forward targeted solutions to break the bottlenecks.
Take a step-by-step approach and focus on pain points in vertical industries. In high-energy-consuming and high-pollution sectors including electric power, coal mining, metallurgy, chemical engineering and equipment manufacturing, Luculent has delved into scenarios such as AI-enabled intelligent equipment operation and maintenance, energy conservation and consumption reduction, safety emergency management, and production operation optimization. These solutions effectively cut operational costs, enhance work safety efficiency and optimize product quality. Gradual implementation helps cultivate interdisciplinary industrial talents and lower the costs of intelligent transformation, enabling AI to truly originate from real scenarios and serve value creation.
Restructure the industrial ecosystem and shift from isolated operation to collaborative development. The intelligent transformation of the manufacturing industry requires coordinated upgrading across the entire industrial chain. It is imperative to foster a group of empowering service providers with expertise in industries, scenario development, data management, platform building and AI technology. Enterprises are encouraged to establish value co-creation partnerships with such service providers and form alliances to build high-quality datasets. Leveraging mature technologies and rich implementation experience, the threshold for AI application can be lowered, facilitating the transition from one-off project delivery to long-term partnership and joint capacity building.
Prioritize talent development and build a diversified training system. Talents are the key to AI implementation. Enterprises are advised to cooperate with universities in building training bases and cultivate interdisciplinary talents through integration of industry and education. Meanwhile, in-house training should be strengthened to improve employees’ AI application capabilities and continuously cultivate on-site industrial AI engineers for the industry.
Luculent experts stated that boasting solid industrial foundations and abundant scientific and educational resources, Jiangsu features abundant and high-value AI application scenarios with remarkable achievements in industry, people’s livelihood, urban governance and other fields, striving to build a national benchmark for AI integrated innovation and practice. Moving forward, Luculent will continue to focus on the core track of industrial AI. Through the in-depth integration of AI and industrial internet, driven by dual engines of platform-based capabilities and scenario-oriented value, the company will deliver high-quality Luculent Solutions for the digital transformation of Jiangsu enterprises, advancing the shift of industries from scale expansion to quality and efficiency growth, and the upgrade from traditional manufacturing to smart manufacturing.
After the conference, Luculent conducted in-depth supply-demand docking with provincial state-owned enterprises and representatives from all walks of life. Led by high-value application scenarios, the company will accelerate the delivery of intended cooperation projects, empower the high-quality transformation and development of provincial state-owned enterprises with new AI technologies, products and models, and better underpin the overall development of Jiangsu Province.
