2024Frost & Sullivan'AIThe sub-forum on reconstructing the digital economy successfully concluded!
8month30Today, Frost & SullivanFrost & SullivanThe Digital Economy Sub-forum of the 3rd New Investment Expo and the 18th Frost & Sullivan Global Growth, Innovation & Leadership Summit (referred to as the 'Frost & Sullivan New Investment Conference') concluded successfully. The forum was co-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.2024In [year], 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 with the government's promotion of “AI+"Under the plan,AIThe integration and application of technology are advancing rapidly across multiple fields, from the digital transformation of traditional industries to the rapid development of emerging industries.AIWe are comprehensively enhancing China's competitiveness in the global digital economy. Therefore, how to seize the digital economy andAINew opportunities in the field have become a focus of attention for investors and entrepreneurs.
At the Digital Economy Sub-forum, participants focused on “AIThe sub-forum on "Reconstructing the Digital Economy" jointly explored new opportunities for digital economy investment and financing. The participants also focused onAIHow digital technologies, with Frost & Sullivan as the core engine, empower various industries and explore their commercial value and potential were discussed in depth at the conference site. Combining the research insights of Frost & Sullivan, the event grandly released 'Construction of Intelligent Computing Cloud Ecosystem', 'Mid-year Evaluation of Large Model Research and Development Capabilities', 'GenerativeAIKey reports such as "Best Practice Awards Report" are released.
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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 event2024Frost & Sullivan held a sub-forum on the digital economy at its new investment conference and delivered an opening speech, officially kicking off this 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 speechAIHighlighting the significant role of big data in driving the development of the digital economy, it is pointed out that they are leading the global economy into a new phase. In ChinaAISignificant progress has been made in the integrated application of 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 welcomingAIOpportunities and challenges brought about by 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 outAIIt has not only changed the way work is done but also profoundly impacted business operations and industrial development. This time, “AIThe theme of the 'Reconstructing the Digital Economy' forum is proposed against this backdrop, and he looks forward to finding more innovative ideas and cooperation opportunities through forum exchanges. At the forum, Frost & Sullivan will release a seriesAIThe latest research reports are relevant and cover applications across multiple industries, inviting top experts to share their profound insights. Mr. Yang Xiaocheng finally expressed his gratitude to the attendees and partners for their support and conveyed his expectations forAIThe expectations for empowering the future of the digital economy.
Keynote Speech
The SightChief Algorithm Scientist, Professor at the School of Automation and Electrical Engineering, Beihang University Mr. Qin Zengchang
Keynote1From data to decision,AIHow to digitalize the consumer market and increase profits
First,The SightMr. Qin Zengchang, Chief Algorithm Scientist and Professor at the School of Automation and Electrical Engineering, Beihang University, delivered a presentation titled 'From Data to Decision,AIHow to digitally transform the consumer market and achieve profit improvement" keynote speech, covering data-driven insights into the consumer market, intelligent algorithm optimization, andAIIt is elaborated in detail on multiple aspects such as application in the decision-making processAITechnology can help enterprises improve profit margins in the fierce market competition through precise data analysis and intelligent decision-making, and provides new ideas and methods for future digital transformation.
Deputy Director of Cloud Computing Department, Institute of Cloud Computing and Big Data, China Academy of Information and Communications Technology Mr. Zheng Li
Keynote Speech2Insights into the Development Trend of Intelligent Computing Industry
Mr. Zheng Li, Deputy Director of the Cloud Computing Department at the Institute of Cloud Computing and Big Data of the China Academy of Information and Communications Technology, analyzed in depth the development background and future trends of the intelligent computing industry during his keynote speech on "Insights into the Development Trends of Intelligent Computing Industries." 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 supply-demand matching of computing power, high energy consumption, and an imperfect security system. To address this, Mr. Zheng Li released the "Influence Matrix of Intelligent Computing Cloud Ecosystem," which provides comprehensive guidance and important references for enterprises and users in product selection and market decision-making by evaluating the influence of various components within the intelligent computing cloud ecosystem.
"The2024Release and Interpretation of the "White Paper on the Development of Hong Kong's Artificial Intelligence Industry in 2021"
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 titled2024Annual 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 a globalAIThe overall market trend emphasizes China's important position in the global artificial intelligence field, especially its leading role in terms of the number of AI companies and top researchers. In addition, the white paper also provides an in-depth analysis of ChinaAIMarket development trends, including the continuous growth of core industry scale, the current state of enterprise technology distribution, and the key roles 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 Stock Connect. It also looks ahead to the Hong Kong stock market in the next few years.AIIndustry growth potential and challenges.
Release of quadrant chart reports and mid-year evaluation of large research models/GenerativeAIBest Practice Award Report Release
Director, Greater China, Frost & Sullivan Ms. Li Qing
Ms. Li Qing, Director of Frost & Sullivan Greater China, delivers a blockbuster report titled2024Mid-Year Evaluation Report of Annual Research Large Model》and `GenerativeAIBest Practice Award Report, and introduced2024Throughout the yearAIReport release plan for the domain. Ms. Li Qing focused on generativeAIAnd the in-depth application of large model technology across various industries and its transformative impact on industry research fields. She elaborated in detail on generativeAIHow to empower key industries such as finance, healthcare, and education by improving production efficiency, reducing operating costs, and enhancing the customer experience. In addition, she also introduced the collaboration between Frost & Sullivan and LeadLeo Research Institutes in2024The comprehensive evaluation results for mainstream large models targeting the Chinese market in 2023 highlight the importance of large models in industry research, including improving the efficiency of research report output, optimizing text quality, and accelerating information retrieval capabilities. These evaluation results and best practice cases not only demonstrate generativeAICombined with the current application level of large model technology, it also provides profound insights for the future digital transformation of various industries.
Keynote Speech
Director of Business Strategy Research at Shangtang Technology Mr. Liu Liang
Keynote Speech3The next big event in large model development: multimodal, new interactions, and end-side models
Next, Mr. Liu Liang, Director of Strategic Research at SenseTime Technology, delivered a keynote speech titled '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 data forms such as text, images, audio, and video 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, further promotingAIThe popularization and application of technology.
Aladin Health Care(shanghai)Mr. Yuan Kejian, Chief Operating Officer of the Elderly Care Service Co., Ltd.
Keynote Speech4:AIExploration and Practice of Technology in the Field of Big Health
Aladin Health Care(shanghai)Mr. Yuan Kejian, Chief Operating Officer of the Pension Service Co., Ltd., delivered a speech titled 'AITechnical Exploration and Practice in the Field of Big Health" keynote speech.
Mr. Yuan Kekian elaborated in detailAIHow technology is applied and innovated in fields such as health management, elderly care, and chronic disease management. He introduced throughAITechnology for personalized health assessments, intelligent monitoring and early warning systems, as well as how to use big data analysis to improve the allocation efficiency of medical resources, thereby enhancing the treatment outcomes and quality of life for patients. In addition, he also shared Aladdin Health's integrationAIWith successful experience in the field of big health industry, it demonstratesAIGreat potential in improving the quality and efficiency of elderly care services.
Mr. Weike Li, Founder and President of Digital Artificial Intelligence
Keynote Speech5Digital Human Artificial Intelligence
Mr. Weike Li, founder and president of Digital Human AI, chairman of the North Film Century Group, and partner at Qing Kong Zhidao Education, delivered a keynote speech titled "Digital Human AI".
Mr. Wilke elaborated in detailAIThe application and innovation of technology in the field of education. He introduced how throughAICourse link design based on technology can greatly improve teaching quality and learning outcomes. Li Weike emphasized thatAIThe introduction of 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,AITechnology can also help students learn independently through intelligenceSaaSThe learning platform allows students to access rich learning resources anytime and anywhere, enabling them to study at their own pace and according to their interests. This autonomous learning method not only cultivates students' independent thinking abilities but also helps them establish self-driven learning habits.
Mr. Wick also mentioned,AIThe emergence of digital twin teachers has significantly reduced the time cost for experts and professors as well as the class hour costs for educational institutions. Through a single recording and filming session of training, educators can obtain unlimited-duration course updates and synchronize them in real-time with digital humans.SaaSThe platform produces courses to ensure 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 in the exploration of large model development, including differences between China and the US and industry application challenges. To delve deeper into this topic, the conference held a roundtable discussion on "Decoding Investment Opportunities and Value Mining for 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 Little Miao Lang Cheng, Zhang Jian, Investment Management Partner at New Micro Capital, and Qiu Zhen, Overseas Partner at Huaying Capital, to conduct an in-depth discussion on the future development path and application prospects of large models. The experts shared their experiences and insights in large model investment, 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 equity investment logic and business environment, whichAIInvestment has put forward higher requirements, necessitating in-depth analysis combined with industry knowledge. Jiahé Investment is proficient in sensitive information processing and generativeAIThe practices in the application emphasizeAIThe importance of integration with the industry. Currently, mostAIThe project's entry point is narrow, mainly focusing on serving experts and enhancing systematic experience. It has 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.2till3Yuan, with further investment required. Professional small models in vertical fields and those based on large modelsAIApplications receive more attention. The application of multimodal large models on cross-border e-commerce platforms, such as multi-language and real-person digital human online customer service systems, 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, Investment Management Partner at Founder Capital, pointed out that generative artificial intelligence has become a key direction in investment portfolios. Through frequent visits to Silicon Valley for research, there are significant differences between China and the US in the development of large language models. American 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 path lies in application development; relying solely on infrastructure services is difficult 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 toCThe enterprise-level market achieved profitability, with small models and vertical domainsAIApplications are more attractive. There are new investment opportunities in the field of industrial noise identification and predictive maintenance of equipment.AIThe application prospects in the field of mineral exploration are broad. By using superconducting technology to detect electromagnetic field distributions and combiningAIThe algorithm for reserve prediction has great commercial potential in this field.
Qiu Zhen, an overseas partner at Huaying Capital, believes that the current bottlenecks faced by large models are historically inevitable, similar to the stage before the internet explosion. Large models lack an intermediate layer akin to the 'browser' of the internet era, making it difficult for many application scenarios to be implemented. He expressed concern about future infrastructure investments in large models, suggesting that the design of chips and computing centers may not keep up with the rapid iteration of algorithms, leading to an excess of capacity that cannot match actual demand. Investments need to be made more cautiously, fully considering these potential risks.
LeadLeo Research InstituteAIHosted by Yuan Xucong, Chief Analyst of the Industry, Future IntelligenceCOO Officer-in-ChiefWang Chao, InnoCentric IntelligenceCTOZhang Fafen, Ali Yuanjing's Deputy General Manager and Market Head Shi Minjun, as well asINMOCo-founders Lv Yifei and other experts jointly participated in the “GenerativeAIRoundtable discussion on "Challenges and Opportunities of Applications".
Innovative ingenuityCTOZhang Fafen pointed out, generativeAITechnology has significant application value across various industries, especially in industrial manufacturing and finance. Customers areAIThe demand is generativeAIThe times seem more urgent. The concept of the metaverse needs to be treated with caution, althoughAIThere are integration points with virtual technology, but it still requires cautious handling. It is too early to discuss the misuse or dangers of large models, and regulation should not be excessive to avoid hindering industrial development.
Future IntelligenceCOO Officer-in-ChiefWang Chao stated that with the popularization of remote work and cloud conferences, there is tremendous growth potential in the headphone market. In the future, hardware devices will inevitably beAIThe combination of technology depth, especially in enhancing meeting efficiency and automatically generating meeting minutes, presents huge application potential for headphones. CurrentlyAIHardware implementation faces challenges, including insufficient computing power, power consumption issues, and privacy concerns. However, within the next five years, hardware andAIThe prospects for deep integration are optimistic.
Shi Minjun, Deputy General Manager of Alibaba Yuanjing and Head of Marketing, shared Alibaba Yuanjing's brand marketing andAIExperience in exploring vertical industry models. Alibaba Metaverse has demonstrated generative capabilities in the gaming industry, culture and tourism, brand marketing, and e-commerce sectors through technologies such as real-time cloud rendering.AIThe broad application prospects. Current brand owners areAIGC(GenerativeAIThe application of ( ) still holds a cautious attitude, mainly due to concerns about legal risks arising from intellectual property and data rights confirmation. In the future,AIGCThe application 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.
INMOCo-founder Lv Yifei discussed generative approaches from a hardware perspectiveAIDevelopment prospects.INMOatARThe innovation in the eyewear sector is demonstrated byARGlasses as generativeAIUnique advantages at the entrance, including seamless use and first-person experience. Future GenerativeAIThe application requires deep vertical integration to meet users' specific needs in different scenarios such as culture and tourism, education, and sports. The current technical level of hardware devices has, to a certain extent, limited generativeAIThe performance, but with the development of technology, hardware andAIThe combination will bring deeper user value.
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