**Science and Technology Innovation Board Daily** July 7th report (Reporter Xu Cihao): Artificial Intelligence (AI) is permeating and reshaping the traditional industrial landscape at an unprecedented speed, becoming an important engine for promoting industrial upgrading.

From manufacturing to finance, from artistic creation to film and television production, the extensive application of AI technology has not only improved production efficiency and reduced costs but also stimulated infinite possibilities for innovation.

How is AI currently integrating with traditional industries to promote industrial upgrading? What new opportunities does the integration of AI technology with other technologies (such as finance, communication IoT, big data, cloud computing) bring to the industry? How does the training of large AI models drive technological progress and have a profound impact on the industry? What innovative applications and integrations does AI have in the financial service industry?

On July 6th, at the 2024 World Artificial Intelligence Conference (WAIC) "2024 Future Tech 100 Future Star Innovation Project Roadshow" session, a roundtable discussion was held themed "AI-Driven Industrial Innovation: Exploring New Paths for Technological Integration and Industrial Upgrading."

AI brings significant changes to traditional industries.

"Many people may not feel the application of AI in the financial industry because it lacks an external concrete manifestation, but in fact, AI has been applied in many aspects of finance," said Dong Xuanzhong, General Manager of the Technology Finance Innovation Center of the Shanghai Branch of China Construction Bank, at the forum. The financial industry uses AI technology in the middle and back offices to improve consumer experience and optimize business processes through intelligent customer service, intelligent investment advice, intelligent risk control, and digital platform services.

According to Dong Xuanzhong, the Ark Plan being implemented by China Construction Bank is actually the bank's financial large model, whose main function is to improve customer experience externally and empower and reduce the burden on employees internally. The intelligent customer service orders assisted by the Ark model are automatically generated, greatly improving service efficiency. In addition, the customer due diligence reports originally written by commercial bank customer managers can also be generated using this model, which is conducive to improving credit efficiency.

"We started combining AI with the call field from 2022 and launched 5G new calls," said Huang Minhua, Deputy General Manager of the Cloud Communication Business Department of China Mobile Internet Co., Ltd., at the forum. Through the upgrade of the communication network architecture, the opening of call capabilities, and the deep integration with AI capabilities, AI and calls are integrated to launch innovative applications including fun calls, intelligent translation, AI shorthand, etc., and explore the application of AI in the field of anti-fraud, effectively improving call security and user experience.

"Large models have important application prospects in the communication field. I believe this will bring revolutionary changes to communication products, making them the entrance to intelligent entities," said Huang Minhua.

Yigong Zhijia is a company specializing in open-pit mine operations. According to Lin Qiao, Senior Vice President of Strategy of Yigong Zhijia, the company has widely applied AI technology since its establishment, from initially using deep learning neural networks for environmental perception to now using large models to process complex data, combined with architectures such as transformers and multimodal perception capabilities, successfully achieving unmanned driving under extremely harsh conditions.

"During the Spring Festival, energy supply needs to be ensured. In the past, more than 200 vehicles required four or five hundred drivers to work in very harsh environments. Now, you can just drink coffee in the office and watch the monitoring big screen," said Lin Qiao when talking about the impact of AI on the industry. Yigong Zhijia has established the largest unmanned vehicle fleet globally, with a total of 203 vehicles currently, and it is expected that more than 1,000 vehicles will be running in major mines across the country this year.

Where is the commercial application of AI?

There is a common expectation in the industry that the end of this year or next year will be an explosion point of AI application. So, what kind of application is most likely to be verified and widely commercialized?

In this regard, Dong Xuanzhong believes that the final application depends on whether its cost-effectiveness can exceed the original methods. He takes the example of whether the bank's hall manager can be replaced by a humanoid robot. From a technical point of view, it is currently possible to fine-tune training with the bank's proprietary data. However, in terms of cost-effectiveness and customer experience, it may not necessarily be achieved at present.

As for what the next round of AI application explosion points will be, Dong Xuanzhong believes that the impact of this round of AI applications on the digital industry or the content generation industry is relatively high from a cost-effectiveness perspective and should accelerate replacement.

"This round of AI is really very hot, there is a saying 'time flies like an arrow', that is, now a day even surpasses the new changes brought by the past year," said Huang Minhua. AI has achieved results in the call field, especially in the industry call with enterprises in sales tactics, service management, etc., trying to optimize with large models, the results are very obvious.

In Huang Minhua's view, AI large models can be widely used in the call field in the future. Large language models plus digital people can subvert the existing enterprise service and sales system. Digital people can replace the work in the original traditional service field, improving efficiency and experience. Sales can also improve management with the help of large models. The entire enterprise's sales service field has a lot of room for innovation and growth.

"Whether AI can be applied on a large scale is more about whether you can bring value to the industry, a product with cost-effectiveness," said Lin Qiao in the end.