To directly address the real AGI needs of Party A, the Artificial Intelligence Empowerment Industry Integration Development Forum was successfully held

During the signing session, representatives of the China Electronic Information Industry Development Research Institute and the State Grid Customer Service Center signed a strategic cooperation agreement in the presence of the participants. This also represents that both parties work together to improve the level of smart power services and provide benefits to the power industry. New determination to develop empowerment.

In addition, representatives from China Software Evaluation Center and this site also signed a cooperation contract. This signing closely combines the professional advantages and rich resources of both parties in their respective fields, thereby effectively realizing resource sharing and complementary advantages, and jointly building A new ecosystem of cooperation.

During the keynote speech, Liu Le, head of the energy industry of DAMO Academy’s Decision-making Intelligence Laboratory, shared the application products of DAMO Academy’s Decision-making Intelligence Laboratory in power scenarios. The decision-making intelligence laboratory of DAMO Academy’s Decision-making Intelligence Laboratory based on its research Intelligent related technologies have precipitated decision-making products such as MindOpt solver and are used in fields such as electric power. Green energy AI solutions focus on power generation, transmission and distribution, and are implemented through basic capabilities. In the era of large models, its applications in the field of electric power and energy include accurate weather forecasting, such as [global-regional] joint weather forecasting; solving problems that can be explained by artificial intelligence; exploring human-like decision-making intelligence, combining large models and traditional technologies to improve the level of intelligence .

Sinopec Shengli Oilfield shared its attempts at intelligentization in oil field scenarios. Sinopec pointed out that the new productivity of oil fields in the new era revolves around people, tools, means and production materials. Oilfields can reduce people and increase production through digitalization and intelligence. The goal of Shengli Oilfield’s digital transformation and intelligent transformation is to build an intelligent oilfield. It is currently in the 1.0 era with automation as the core. In the future, it will develop intelligently into the 2.0 era, including full-chain intelligent decision-making and integrated collaboration. The oilfield also proposed changes in four directions, including changes in comprehensive research methods, engineering process models, labor organization forms, and management models.

Yu Youping, Vice President of Baidu Intelligent Cloud, proposed Baidu's solution for AI application exploration in internal application scenarios of enterprises. "Baidu Intelligent Cloud provides a full range of capabilities from IaaS, PaaS to SaaS, helping large models to be used in enterprise applications." Achieving increased revenue, improved efficiency, reduced costs and compliance. Among them, knowledge management, customer service and marketing are the best ways for enterprises to increase revenue and improve efficiency through large models. The "Zhenzhi" product launched by Baidu Intelligent Cloud has reshaped the paradigm of corporate knowledge management. "KeYue" product has revolutionized intelligent customer service capabilities. After the "Xiling" digital human product is reconstructed based on a large model, the 2D and 3D digital human effects are more realistic, and the cost and time of digital human production are significantly reduced. In marketing and sales scenarios It has broad application prospects.”

In view of the problems existing in traditional power operation and maintenance, China Electronics Yuchuang believes that traditional power operation and maintenance has pain points such as insufficient data processing capabilities, difficulty in fault prediction and location, and high human resource costs. Intelligent operation and maintenance is the only way, but Faced with many challenges. China Electronics Yuchuang integrates artificial intelligence with the power industry and forms an edge-end integrated architecture through intelligent front-end equipment and AI back-end platforms to improve operation and maintenance efficiency, reduce costs, ensure safety, and promote the intelligent development of the power industry.

In addition, China Mobile Research Institute also introduced China Mobile’s development strategy and practical results in the field of artificial intelligence: In the intelligent era, AI, data and computing power have become important factors driving new productivity, and China Mobile focuses on suppliers , aggregator and operator positioning, built an intelligent computing power 10,000-card cluster, built a large model with hundreds of billions of parameters, established a Jiutian 1+N pass/college model system, created a Yiheng large model evaluation system, and completed more than 40 mainstream large models. Model evaluation, establishing the Artificial Intelligence Evaluation Large Model Alliance.

In the release of artificial intelligence scenario requirements for central and state-owned enterprises, China Southern Power Grid Digital Grid Group released the project requirements for the "Research on Innovative Application Technology of Electric Energy Data Driven by Artificial Intelligence", including the use of multi-modal large models and other technologies to realize metering devices. Fault early warning and operation and maintenance efficiency optimization improve the quality of electric energy data, internally empower the user side to respond flexibly to resource management, and externally add value to explore the new role of electric energy data in macroeconomic analysis. The artificial intelligence requirements faced by the project include specific technical applications and implementation goals in scenarios such as AI-enabled metering operation and maintenance, refined load management, and power economics.

The roundtable forum session was hosted by representatives from China Software Evaluation Center, jointly hosted by China Electronics Yuchuang, Chief Technology Officer of Innovation Qizhi Zhang Faen, Head of Energy Industry of DAMO Academy Decision Intelligence Laboratory Liu Le, and China Southern Power Grid Digital Grid Group Discussions centered on the initial experience of artificial intelligence empowering new industrialization.

China Electronics Yuchuang believes that artificial intelligence plays an important role in new industrialization. China Electronics Yuchuang uses robot intelligent perception and control technology, including image processing, sound processing, scene perception and cognition, reinforcement learning and large model prediction and early warning technology. Ensure safe and efficient operation and maintenance of equipment. Human-computer interaction and human-computer fusion involve natural language processing, product after-sales service interpretation, human-computer collaborative control, etc., and achieve results through human-computer fusion training.

Zhang Faen, chief technology officer of Innovation Qizhi, said that the connotation of artificial intelligence is to find knowledge from data and apply it to scenarios. There are a wide range of scenarios, and technology based on large models has more potential. Behind the emergence of intelligence is Scaling law, which is the law of parameters, training data and total computing power of large models or deep learning neural networks. The emergence of intelligence will make automation more intelligent, and robots will become more flexible in the future. Products will also be more diverse and personalized.

Liu Leze, head of the energy industry of DAMO Academy’s Decision-making Intelligence Laboratory, mentioned that new industrialization requires more accurate weather forecasts. The emergence of large models has brought new opportunities to AI meteorological large models. At the same time, AI is safe and reliable. Sex and interpretability are also important points. When the large model is implemented, the interpretable AI direction can be aligned with human experience as much as possible, and safety verification can be carried out to assist decision-making. At the same time, human-like decision-making intelligence can be explored based on the large model.

China Southern Power Grid Digital Grid Group proposed that the application of artificial intelligence in the power industry has penetrated into various scenarios, such as front-end intelligent customer service, power marketing, back-end operation and maintenance, including drone inspections, image recognition, etc., load forecasting It is very important for power grid enterprises.

With the conclusion of 2024 WAIC, the "Artificial Intelligence Empowerment Industry Integration Development Forum" also concluded successfully. In the process of artificial intelligence driving the development of "new productivity", artificial intelligence will continue to promote industrial integration and innovation, promote the transformation and upgrading of traditional industries, and bring new impetus to economic growth and social development.

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