Data Assets, Large Models, Artificial Intelligence The 2023 China Digital Annual Conference is full

Mondo Technology Updated on 2024-01-30

Focusing on keywords such as data assets, large models, and artificial intelligence, the 2023 China Digital Annual Conference is full of dry goods!

From December 7th to 9th, the 2023 China Digital Annual Conference was held in Chengdu, Sichuan. With the theme of "Digital Wisdom and Wisdom", the conference gathered leading experts and industry leaders in the digital field. The two summit forums held online were full of dry goods. What wonderful ideas have been brought by the big names, this article will review with you!

2023 China Digital Academic Annual Conference

As an important part of the China Digital Annual Conference, on December 9, the Information Director (CIO) Branch of the China Software Industry Association, the Digital Industry Innovation Research Center, and the China University Science and Technology Magazine co-hosted the 2023 China Digital Academic Annual Conference. The annual meeting brought together well-known experts, scholars and editors-in-chief of academic journals at home and abroad to jointly discuss the latest research results and future development trends in the field of digitalization in the form of keynote reports and academic exchanges.

Ming Xinguo

Professor and doctoral supervisor of the School of Mechanical and Power Engineering, Shanghai Jiao Tong University

Data is a fundamental value driver in the new world order. Harnessing real-time data intelligence as a catalyst for digital transformation can provide organizations with a competitive advantage, enabling them to analyze disparate data sources and data streams in real-time and disseminate them seamlessly within and across organizations.

King ship

Professor, Ph.D., School of Management, Ocean University of China

In order to avoid information loss, more and more scenarios tend to mine and analyze the full data, in which only a small part of the data is structured, and the unstructured data also contains a large amount of information, so the big data technology that can handle all kinds of mixed data has been widely used and developed rapidly. Among them, big data analysis, which occupies an important position, has also developed from an analysis model based mainly on causal relationships to an analysis model based on correlations.

Sun Yuan

Secretary of the Party Committee, Vice Dean and Professor of the School of Business Administration, Zhejiang Gongshang University

Technical resources have different characteristics from traditional resources, so different resource orchestration methods need to be adopted for technical resources, and these resource orchestration activities will further form different value co-creation models. As a leading enterprise in the intelligent voice industry, iFLYTEK has gradually built a "platform + track" innovation ecosystem based on technical resources, which integrates the characteristics of R&D ecosystem and business ecosystem, and meets the definition of innovation ecosystem.

Sun Jie

Expert member of the Information Officer (CIO) Branch of China Software Industry Association

He is an expert member of CCF of China Computer Federation

At present, the watershed of digital transformation has gradually evolved from the original single-point investment in the market, client, production, and marketing to how to build a customer-centric enterprise integrated digitalization and the sustainable development of full-link business digitalization, promote the deep integration of digital technology and industrial chains, and help enterprises play an important role in fighting risks and improving resilience.

Wu Jun

Professor and doctoral supervisor of the Department of Management Science and Engineering, School of Economics and Management, Beijing University of Posts and Telecommunications

The digital innovation caused by the new generation of information technology is: disruptive innovators, constantly creating new products (services), reshaping new processes, and nurturing new business formats;Combined innovators, promote the integration of products and services, accelerate the integration of online and offline, and promote the symbiosis of data and realityDemand-stimulating innovators, identify potential user needs, innovate technology application scenarios, and customize value propositions on demand.

Huo Biao

Member of the Party Committee, Chairman of the Labor Union, and General Director of Shangwei Co., Ltd

Digital transformation needs to follow the general objective laws of enterprise development, deepen the understanding of its systematic, long-term and arduous nature, do a good job in planning and layout and top-level design, and promote it in a systematic and orderly manner.

emlyon business school Global Business Intelligence Forum, France

——AIGC and Enterprise Digital Strategy

The digital transformation strategy is the development strategy of the enterprise, and the core of the digital transformation strategy of the enterprise is to continuously expand the data assets. The emergence of AIGC will become a huge revolution in the digital transformation of enterprises, and truly promote mankind to enter the stage of digital civilization, and we need to think about digital transformation with new thinking. According to Schumpeter's view that "innovation is the rearrangement of products and services", innovation is the most fundamental strategic goal for enterprises. At the same time, AIGC further strengthens how enterprises can use AIGC to play the value of data assets after the accumulation of data elements is completed. emlyon business school's Global Business Intelligence Center invited professors, scholars, entrepreneurs and executives at home and abroad to discuss this topic.

Gong Yeming

Professor of Management Sciences at emlyon business school, France

Dean of the School of Artificial Intelligence Management (AIM) at emlyon business school, France

Director of the Global Business Intelligence Center (BIC) at emlyon business school, France

Supervisor of Global Doctor of Business Administration GDBA at emlyon business school, France

The survey and research show that in the current period of economic difficulties and fierce competition, there are not many unicorn enterprises in the list of top 100 enterprises in 2023, foreign-funded enterprises are showing a downward trend, small and medium-sized enterprises have difficulties in operation, the metaverse is feverish, and the development of carbon neutrality and green manufacturing is not fastHowever, at the same time, the new generation of artificial intelligence technology represented by AIGC has been valued in the field of intelligent manufacturing, the competition pattern of new energy enterprises has become clearer, lighthouse factories and intelligent manufacturing demonstration enterprises have played a leading role, regional differences have narrowed, and enterprises related to key technologies have developed, all of which indicate new opportunities for economic development.

Yang Jiahuan

Amazon Web Services Product Expert

Generative AI is not just a large model, the basic model is only the tip of the iceberg, it needs to rely on data analysis, databases, data integration, acceleration chips and other services and products to support. Amazon Web Services' mission is to realize the "inclusiveness" of generative AI, provide a complete generative AI stack, and help enterprises and developers unleash the potential of generative AI and stimulate new business potential.

Liang Suyu

Vice President of Investment at Intron Capital

Since the beginning of this year, the XR industry has shown two major driving forces, the first is AI to accelerate the landing of AR devices and Apple's MR to accelerate the maturity of the AR software ecosystem, so the industry will quickly usher in an inflection point, and it will achieve a full explosion in 5 years. At present, the XR industry is ushering in catalysis, and related investment opportunities are worth paying attention to, especially in the MR field, which will bring a new application ecology that can be virtual and real.

Wang Zezhong

Head of Tencent Smart Mobility East China Solution

Doctor of Global Business Administration (GDBA) student at emlyon business school, France

The large model has given birth to the "efficiency" revolution, improved the quality and efficiency of the industry, and achieved the four major effects of "stronger" capability, "higher" efficiency, "wider" scenarios, and "deeper" applications. Wang Zezhong pointed out that the automotive intelligent physical examination will continue to advance with the industry, helping car companies to build personalized cockpits and brand personalized experiences.

Wang Rui

General Manager of Chuangcheng Business Department of Nexperia Asia Pacific Technology Co., Ltd

Doctor of Global Business Administration (GDBA) student at emlyon business school, France

Generative design is an exploratory design method that uses algorithms and computers to generate design solutions, providing designers with unprecedented tools for innovation, and is widely used in aerospace molds, medical applications, automotive manufacturing, and other fields, thus opening a new era of design change.

Xiao Guang

Deputy General Manager of Shanghai Youye Information Technology

As a "AutoNavi Navigation" in the field of energy management, the digital AI-based Youye Energy Intelligent Navigation System is a set of intelligent management and control systems that can cover the full-stack energy medium, helping iron and steel enterprises narrow the pressure fluctuation of the pipeline network. He concluded that large industries save energy and reduce carbon emissions by 3The principle of 0 is to "see" but not "think", and "think" but not "excellent" to be lazy, so as to help energy conservation and carbon reduction in high-energy-consuming industries.

Pan Yuwen

Shanghai Qiyuan Technology Co., Ltd. ***amt).

Doctor of Global Business Administration (GDBA) from emlyon business school, France

The IPD process can help enterprises innovate and manage R&D, and is suitable for different industries and enterprises of different sizes. With the development of AIGC, all aspects of the IPD process can be further improved. "Looking forward to the future, AI empowerment can deepen product innovation and R&D applications, further improve the efficiency of product R&D and customer service, and lead industrial upgrading. ”

** Organizing Committee of China Digital Annual Conference

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