The 2024 Frost & Sullivan AI Reconstructing the Digital Economy Sub-forum has successfully concluded!
On August 30, Frost & Sullivan (Frost &The Digital Economy Sub-forum of the 3rd New Investment Expo and the 18th Frost & Sullivan Global Growth, Innovation and Leadership Summit (referred to as 'Frost & Sullivan New Investment Conference') was successfully concluded. This forum was jointly hosted by Frost & Sullivan and LeadLeo, with the assistance of the China Academy of Information and Communications Technology.
With the continuous expansion of the digital economy, the importance of artificial intelligence in the global economy has become even more prominent.In 2024, China's digital economy is at a critical stage of accelerated development, with the application of artificial intelligence deeply penetrating into various industries and becoming the core driving force for economic growth. Especially under the government's 'AI+' initiative, the integration and application of AI technology are advancing rapidly across multiple fields, from the digital transformation of traditional industries to the rapid development of emerging industries, AI is comprehensively enhancing China's competitiveness in the global digital economy. Therefore, how to seize new opportunities in the digital economy and AI field has become a focus for investors and entrepreneurs.
At the sub-forum on the digital economy, participants discussedThe theme of the 'Frost & Sullivan' sub-forum on 'AI-Driven Digital Economy Reconstruction' jointly explored new opportunities for investment and financing in the digital economy. Participants also focused on how digital technologies centered on AI can empower various industries and delved into their commercial value and potential. At the conference site, in conjunction with Frost & Sullivan's research accumulation, important reports such as 'Construction of Intelligent Computing Cloud Ecosystem', 'Mid-Year Evaluation of Large Model Research and Development Capabilities', and 'Release of the Best Case Award Report on Generative AI' were grandly presented.
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Executive Director, Greater China, Frost & Sullivan Mr. Zhang Zhiwei
Mr. Zhang Zhiwei, Executive Director of Frost & Sullivan Greater China, presided over the event.Frost & Sullivan's New Investment Conference Digital Economy Sub-forum was held in 2024, with an opening speech delivered by the Chairman of Frost & Sullivan's China Investment Banking Group, Mr. Stephen Yip. This officially kicked off the forum.
Opening Remarks
President of Big Data Branch of China Information Association Mr. Fu Boyan
Mr. Fu Boyan, President of the Big Data Branch of the China Information Association, delivered a welcome speech as a distinguished guest, expressing his best wishes for the successful holding of the forum.
Mr. Fu Boyan emphasized in his speechThe important role of AI and big data in driving the development of the digital economy is highlighted, pointing out that they are leading the global economy into a new phase. China has made remarkable progress in the integrated application of AI and big data, forming an ecosystem covering the entire industrial chain. However, Mr. Fu also reminded everyone that while technological progress is taking place, attention must also be paid to issues such as data security, privacy protection, and algorithm fairness. He looks forward to achieving a harmonious coexistence of technological innovation and social responsibility through discussions at the forum, and jointly embracing the opportunities and challenges brought by AI and big data.
Partner and Managing Director of Frost & Sullivan Greater China Region Mr. Yang Xiaocheng
Mr. Yang Xiaocheng, Partner and Managing Director of Frost & Sullivan Greater China, delivered a welcome speech for the forum.
Mr. Yang Xiaocheng emphasized the key role of artificial intelligence in the current global economic transformation during his speech, pointing outAI has not only changed the way work is done but also profoundly impacted business operations and industrial development. The theme of this 'AI Reconstructing the Digital Economy' forum is proposed against this backdrop, with him looking forward to finding more innovative ideas and cooperation opportunities through the forum exchanges. At the forum, Frost & Sullivan will release a series of the latest AI-related research reports covering applications across multiple industries and invite top experts to share their profound insights. Mr. Yang Xiaocheng finally thanked the participating guests and partners for their support and expressed his expectations for the future of AI empowering the digital economy.
Keynote Speech
The SightChief Algorithm Scientist, Professor at the School of Automation and Electrical Engineering, Beihang University Mr. Qin Zengchang
Keynote Speech 1: From data to decision-making, how AI is digitalizing the consumer market and driving profit growth
First,The Sight Mr. Qin Zengchang, Chief Algorithm Scientist and Professor at the School of Automation and Electrical Engineering at Beihang University, delivered a presentation titled"The theme speech 'From Data to Decision-making: How AI is Digitizing the Consumer Market and Enhancing Profits' elaborates on how AI technology, through precise data analysis and intelligent decision-making, helps enterprises improve profit margins in the fierce market competition and provides new ideas and methods for future digital transformation. It covers multiple aspects such as data-driven consumer market insights, intelligent algorithm optimization, and the application of AI in decision-making processes."
Deputy Director of Cloud Computing Department, Institute of Cloud Computing and Big Data, China Academy of Information and Communications Technology Mr. Zheng Li
Keynote Speech 2: Insights into the development trend of intelligent computing industry
Mr. Zheng Li, Deputy Director of the Cloud Computing Department at the Cloud Computing and Big Data Research Institute of the China Academy of Information and Communications Technology,In the keynote speech on "Insights into the Development Trends of Intelligent Computing," Mr. Zheng Li analyzed in depth the development background and future trends of the intelligent computing industry. He pointed out that with the advancement of the "East Data West Computing" project, China's computing infrastructure is developing rapidly, bringing unprecedented opportunities. However, the intelligent computing industry also faces challenges such as insufficient matching of computing power supply and demand, high energy consumption, and an imperfect security system. To address these issues, Mr. Zheng Li released the "Influence Matrix of Intelligent Computing Cloud Ecosystem," which provides comprehensive guidance and important references for enterprises and users when selecting products and making market decisions by evaluating the influence of various components within the intelligent computing cloud ecosystem.
"TheRelease and Interpretation of the 2024 Hong Kong Artificial Intelligence Industry Development White Paper
Chairman and Chief Executive Officer of SULLIVAN TELE-TREND CLOUD TECHNOLOGY, TradeGo Mr. Wan Yong
At the forum, Mr. Wan Yong, Chairman of SULLIVAN TELE-TREND CLOUD TECHNOLOGY and Chief Executive Officer of TradeGo, delivered a keynote titled"The 2024 Hong Kong Artificial Intelligence Industry Development White Paper". Mr. Wan Yong stated that the core focus of this white paper is to comprehensively analyze the current situation and future development trends of the Hong Kong artificial intelligence industry. The white paper details the overall situation of the global AI market, emphasizing China's important position in the global artificial intelligence field, especially its leading position in terms of the number of artificial intelligence enterprises and top researchers. In addition, the white paper also deeply analyzes the development dynamics of China's AI market, including the continuous growth of the core industry scale, the current situation of enterprise technology distribution, and the key role of technology cooperation such as big data and cloud computing. At the same time, the white paper systematically sorts out the issuance situation of artificial intelligence enterprises in the Hong Kong stock market, covering the market value performance of listed companies, the participation of cornerstone investors, and their performance in the Hong Kong Connect, and looks ahead to the growth potential and challenges of the Hong Kong AI industry in the next few years.
Release of quadrant chart reports and mid-year evaluation of large research models/Release of the Best Use Cases Report of Generative AI
Director, Greater China, Frost & Sullivan Ms. Li Qing
Ms. Li Qing, Director of Frost & Sullivan Greater China, delivers a blockbuster report titledThe 'Mid-Year Evaluation Report of Large Model Research in 2024' and the 'Best Use Cases Award Report for Generative AI' were presented, along with an introduction to the annual report release plan for the AI field in 2024. Ms. Li Qing focused on the in-depth application of generative AI and large model technology across various industries and their transformative impact on industry research. She elaborated on how generative AI empowers key sectors such as finance, healthcare, and education by improving production efficiency, reducing operational costs, and enhancing customer experience. In addition, she introduced the comprehensive evaluation results conducted by Frost & Sullivan and LeadLeo's research institute on mainstream large models in the Chinese market in 2024, emphasizing the importance of large models in industry research, including improving the output efficiency of research reports, optimizing text quality, and accelerating information retrieval capabilities. These evaluation results and best practice cases not only demonstrate the current application level of generative AI and large model technology but also provide profound insights for the future digital transformation of various industries.
Keynote Speech
Director of Business Strategy Research at Shangtang Technology Mr. Liu Liang
Keynote Speech3: The next big event in large model development: multimodal, new interactions, and end-side models
Next, Mr. Liu Liang, Director of Strategy Research at SenseTime, delivered a presentation titledKeynote presentation on "The Next Big Event in the Development of Large Language Models: Multimodal, New Interactions, and End-Device Models".
Mr. Liu Liang elaborated on the next key trend in the development of large models, focusing on multimodal technology, new human-computer interaction, and end-device models. He pointed out that multimodal technology will drive the intelligent development of large models in complex application scenarios, by integrating text, images, audio, and video data forms to achieve stronger understanding and generation capabilities. At the same time, Mr. Liu Liang emphasized the importance of new interaction methods, stating that in the future, large models will enhance user experience through more natural language processing and intelligent feedback. The development of end-device models will enable large models to play a greater role in mobile devices and edge computing, providing real-time processing and decision-making capabilities, and further promotingThe popularization and application of AI technology.
Aladin Health CareMr. Yuan Kejian, Chief Operating Officer of Shanghai Pension Service Co., Ltd.
Keynote Speech4: Exploration and Practice of AI Technology in the Field of Big Health
Aladin Health CareMr. Yuan Kejian, President of Operations at Shanghai Pension Service Co., Ltd., delivered a keynote speech titled 'Exploration and Practice of AI Technology in the Field of Big Health'.
Mr. Yuan Kekian elaborated in detailHow AI technology is applied and innovated in fields such as health management, elderly care, and chronic disease management. He introduced personalized health assessments, intelligent monitoring, and early warning systems through AI technology, as well as how big data analysis can improve the allocation efficiency of medical resources, thereby enhancing the treatment outcomes and quality of life for patients. In addition, he shared the successful experience of Alibaba Health in integrating AI with the big health industry, demonstrating the tremendous potential of AI in improving the quality and efficiency of elderly care services.
Mr. Weike Li, Founder and President of Digital Artificial Intelligence
Keynote Speech5: Digital Human Artificial Intelligence
Mr. Li Weike, Founder and President of Digital Human AI, Chairman of the Beijing Film Group Century Group, and Partner at QingKong Zhidao Education, delivered a speech titledKeynote speech on "Digital Human Artificial Intelligence".
Mr. Wilke elaborated in detailThe application and innovation of AI technology in the field of education. He introduced that designing the curriculum link through AI technology can greatly improve teaching quality and learning outcomes. Li Weike emphasized that the introduction of AI technology can not only assist teachers in better understanding and evaluating students' learning progress but also provide personalized learning paths and resources by analyzing students' learning data, thereby meeting the unique needs of each student. In addition, AI technology can also help students learn independently. Through the intelligent SaaS learning platform, students can access rich learning resources anytime and anywhere and learn at their own pace and interest. This autonomous learning method not only cultivates students' independent thinking ability but also helps them establish self-driven learning habits.
Mr. Wick also mentioned,The emergence of AI digital twin teachers has significantly reduced the time cost for experts and professors, as well as the class hour costs for educational institutions. With just one recording and filming session for training, users can obtain unlimited duration course updates and synchronize them in real-time to the digital human SaaS platform for course production, ensuring that students receive the latest learning content. This innovative teaching model is expected to bring revolutionary changes to the education industry in the post-pandemic era.
Roundtable Discussion: Differences between China and the US in the Development of Large Models and Thoughts on General Large Models
Chinese enterprises are facing multiple tests from differences between China and the US and industry application challenges during the exploration of large model development. To delve deeper into this topic, a conference was heldRoundtable discussion on 'Decoding Investment Opportunities and Value Mining with Large Models'. Industry experts gathered together, including Lu Jiaqing, Senior Partner at Guokejiahe, Chen Lian, Deputy General Manager of Leading Venture Capital at Suzhou Industrial Park, Fang Zhenghao, Investment Management Partner at Xiaomolang Cheng, Zhang Jian, Management Partner at New Micro Capital, and Qiu Zhen, Overseas Partner at Huaying Capital. They engaged in an in-depth discussion on the future development path and application prospects of large models. The experts shared their experiences and insights in investing in large models, providing valuable references for the future development of large models in the global market.
Lu Jiaqing, a senior partner at Guoke Jiahé, pointed out that there are fundamental differences between China and the United States in the logic of equity investment and business environment, whichAI investment has put forward higher requirements, necessitating in-depth industry analysis. Harvest Fund's practice in sensitive information processing and generative AI applications emphasizes the importance of integrating AI with industries. Currently, most AI projects have a narrow focus, mainly concentrating on serving experts and enhancing systematic experience, and have not yet become an essential part of the production process.
Chen Lian, Deputy General Manager of the Leading Venture Capital at Suzhou Industrial Park, mentioned that with the promotion of policies and capital inflows, a large number of large model startups have emerged rapidly. However, the development of large models requires substantial financial support, which is usually achieved through angel round financing.Ranging from 200 million to 300 million yuan, further investment is required in the future. Professional small models in vertical fields and AI applications based on large models are receiving more attention. The application of multimodal large models on cross-border e-commerce platforms, such as online customer service systems with multiple languages and digital human avatars, holds great potential. At the same time, energy conservation and emission reduction in data centers and intelligent scheduling functions of software operation and maintenance platforms will also become important investment directions in the future, especially against the backdrop of limited computing power in universities, where low-cost solutions are particularly crucial.
Xiao Miao Langcheng, co-founder and managing partner of investment management firm Fangzheng Hao, pointed out that generative artificial intelligence has become a key direction in investment portfolios. Through frequent research trips to Silicon Valley, there are significant differences between China and the US in the development of large language models. US companies have a broader market and mature infrastructure, making them more commercially viable, while the Chinese market has entered fierce competition before the industry was fully mature. The future direction lies in application development; relying solely on infrastructure services is unlikely to achieve commercial value. In a broader sense, the maturity of large models such as multimodal models is relatively low, especially in terms of integration with robots, which still requires further exploration. Investment focus will be placed on the application side, applications combined with multimodal large models, as well as investments in upstream computing power and communication infrastructure.
Zhang Jian, managing partner at New Micro Capital, analyzed that the high investment in large models and their low output in the short term make it difficult for many enterprises toThe C-end market has achieved profitability, and small models and AI applications in vertical fields are more attractive. There are new investment opportunities in the fields of industrial noise recognition and predictive equipment maintenance. The application prospects of AI in mining exploration are broad. By using superconducting technology to detect electromagnetic field distributions and combining with AI algorithms for reserve prediction, this track has great commercial potential.
Hua Ying Capital's overseas partner Qiu Zhen believes that the current bottlenecks faced by large models are historically inevitable, similar to the stage before the internet explosion. Large models lack something akin to the internet era.The intermediate layer like 'browsers' makes many application scenarios difficult to implement. There are concerns about future infrastructure investment for large models, as the design of chips and computing centers may not keep up with the rapid iteration of algorithms, leading to an excess supply that cannot match actual demand. More caution is needed during investment, fully considering these potential risks.
LeadLeo Research InstituteUnder the chairmanship of Yuan Xucong, Chief Analyst of the AI industry, experts including Wang Chao, Future Intelligent COO, Zhang Faren, CTO of Innovation Intelligence, Shi Minjun, Deputy General Manager and Market Head of Alibaba Metaverse, and Lv Yifei, co-founder of INMO, participated in a roundtable discussion themed 'Challenges and Opportunities of Generative AI Applications'.
Innovative ingenuityCTO Zhang Fafen pointed out that generative AI technology has significant application value in various industries, especially in industrial manufacturing and finance. The demand for AI from customers has become more urgent in the era of generative AI. The concept of the metaverse needs to be treated with caution, as although there are intersections between AI and virtual technology, it still requires careful handling. It is too early to discuss the misuse or dangers of large models, and regulation should not be excessive to avoid hindering industry development.
Future IntelligenceCOO Wang Chao stated that with the popularization of remote work and cloud conferences, there is huge growth potential in the headphone market. In the future, hardware devices will inevitably be deeply integrated with AI technology, especially in improving meeting efficiency and automatically generating meeting minutes, where the application potential of headphones is enormous. Currently, the implementation of AI hardware faces challenges, including insufficient computing power, power consumption issues, and privacy concerns. However, the prospects for deep integration of hardware and AI within the next five years are optimistic.
Shi Minjun, Deputy General Manager of Alibaba Yuanjing and Head of Marketing, shared Alibaba Yuanjing's brand marketing andExperience in exploring AI vertical industry models. Alibaba Metaverse has demonstrated the broad application prospects of generative AI in the gaming industry, culture and tourism, brand marketing, and e-commerce sectors through technologies such as real-time cloud rendering. Currently, brand owners are still cautious about the application of AIGC (Generative AI), mainly concerned about legal risks arising from intellectual property rights and data ownership. In the future, the application of AIGC in the metaverse will greatly promote the formation of a digital content ecosystem, especially in terms of reducing production costs and improving content quality, providing strong support for the development of the metaverse.
Lü Yifei, co-founder of INMO, discussed the development prospects of generative AI from a hardware perspective. INMO's innovation in the AR glasses field demonstrates the unique advantages of AR glasses as an entry point for generative AI, including seamless use and first-person experience. In the future, the application of generative AI needs to delve into vertical fields to meet users' specific needs in different scenarios such as culture and tourism, education, and sports. The current technical level of hardware devices has limited the effectiveness of generative AI to a certain extent, but with technological development, the combination of hardware and AI will bring deeper user value.
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