Name: Xia Huabiao
Nationality: China.
Native place: Guangshui City, Hubei Province
Current position: Chairman and CEO of Enterprise Knowledge Group.
Founder and Chairman of Kevin·Z Group
Political viewpoint: democratic construction
Honorary Award: Winner of Shenzhen May 1st Labor Medal
Character experience
In March, 20 13, Xia huabiao founded Kevin·Z group, and then successively set up more than 60 molecular companies in more than 40 cities in China, including Beijing, Shanghai, Shenzhen, Guangzhou, Chongqing and the Soviet union, with more than 5,000 employees. Kevin·Z Group has accumulated more than 300,000 service enterprises.
2065438+July 2007, Xia Huabiao founded Enterprise Know Group, and independently developed the big data platform of scientific and technological innovation service "Enterprise Know". Up to now, the enterprise has achieved PB-level data scale, developed the first large AI model of science and technology service in China, and registered users12.65 million. In the past three years, 18600 national high-tech enterprises and 6 12 1 national small giant enterprises have been cultivated.
In 2022, Xia Huabiao's "Industry-University-Research Intelligent Service Platform Based on Big Data" was selected as the pilot demonstration project of the development of big data industry in the Ministry of Industry and Information Technology.
In July 2023, Xia Huabiao led the enterprise knowledge team to launch the scientific and technological innovation management platform "Scientific and Technological Innovation Space" based on the "big data+big model" solution, which provided all-round empowerment for scientific and technological innovation enterprises in the scenes of scientific and technological innovation information acquisition, R&D management, Industry-University-Research docking, scientific and technological innovation finance, intellectual property rights and policy declaration management, and marketing expansion.
Business idea
Adhere to "customer first"
On 20 13, Xia huabiao founded Kevin·Z group in Wenzhou, focusing on enterprise intellectual property services. At that time, small and medium-sized enterprises generally lacked understanding of the importance of intellectual property rights, and most intellectual property service agencies mainly served the head enterprises, with little consideration given to the needs of small and medium-sized enterprises. Xia Huabiao is keenly aware of this pain point, and has been introducing professionals since the early days of Kevin·Z, focusing on the intellectual property needs of small and medium-sized enterprises in different development stages, and promoting the creation, protection and application of intellectual property rights by enterprises through the strategy of "specialization, diversification and long-term service". Xia Huabiao often tells the team that service enterprises should not be limited to short-term value, and should not only think about the basic demands of customers at present, but also keenly foresee the problems that customers may encounter in the future development process and the technical capabilities they need, and provide long-term value beyond customers' expectations.
Adhering to the principle of "customer first", Kevin·Z's business developed rapidly, and soon covered the core areas of the primary, secondary and tertiary markets in China.
Start a second business and build an online and offline integrated scientific and technological innovation service paradigm.
In 20 16, Xia huabiao moved the group headquarters to Shenzhen, and in 20 17, he founded the big data platform for science and technology services and started his own "second venture".
The motivation for relocation comes from Xia Huabiao's consideration of customer service transformation and upgrading. He believes that in order to truly enhance the core competitiveness of small and medium-sized enterprises, in addition to providing intellectual property services in the middle and late stages of enterprise innovation, it is also necessary to move towards the early and middle stages of innovation, on the one hand, improving the innovation decision-making ability of enterprises, on the other hand, accurately matching innovative elements such as talents, capital and technology for enterprises. How to identify and improve the portrait of enterprise innovation, make the innovation ability visible and quantifiable, and thus open up the demand side and supply side of innovation, it is necessary to build an intelligent big data platform and form an ecosystem of enterprise technological innovation.
As one of the most innovative and entrepreneurial cities in China, Shenzhen has gathered rich R&D talents and advanced scientific and technological resources, and has a lush innovation ecology, which provides good conditions for the sustained and rapid establishment and development of enterprises.
"Find the right person and do the right thing"
To build a big data platform for science and technology services, we must have a strong technology research and development team. By the end of 2023, the enterprise knows that it has established a research and development team of more than 1.200 people, of which more than 90% are from global top technology 100 companies and well-known internet companies, with more than 50% of 985/265, 438+065 and 438+0 degrees, and more than 30% of master's and doctoral degrees, with a lot of big data.
Core technical talents are favored by the market, and enterprises also know that they often have to compete with well-known companies at home and abroad for talents. A senior expert in the artificial intelligence team of Enterprise Know, who has worked in Google for many years, initially rejected the invitation of Enterprise Know and chose a Fortune 500 foreign company. Two days later, he suddenly received a strange phone call. The first sentence at the other end of the phone is "I am the old summer that the company knows." Xia Huabiao gave him a detailed introduction to the construction scheme of enterprise knowledge, technology and innovation service big data platform, and mentioned that artificial intelligence technology is an important means to solve the pain points of enterprise innovation ability evaluation, Industry-University-Research cooperation matching and technology innovation financing. Enterprise knowledge has made important breakthroughs in the application scenarios of scientific and technological literature refining and analysis, technology development traceability, cutting-edge technology identification, technology trend prediction, research and development direction diagnosis, etc., and is at the forefront of the industry. Enterprises know that artificial intelligence teams should stand in the perspective of innovative small and medium-sized enterprises in China, help users analyze enterprises and industries, make more scientific innovation decisions, and improve the overall allocation efficiency of social innovation elements.
After talking about the candidate's heart, I decided to come to the company again. On the same day, Xia Huabiao hosted a seminar on enterprise knowing products, and discussed the inclusive application forms of scientific and technological innovation modes such as AI patent periodical interpretation assistant, infringement avoidance assistant and technical improvement assistant. The candidate agreed that the enterprise knew that the R&D plan to strengthen the ability of scientific and technological decision-making support and the ability of frontier technology situation awareness was * * * perfect for the goal of building China's self-controlled scientific and technological model and realizing the localization of scientific and technological information supply chain, and immediately decided to join the enterprise to know.
"Chief Product Manager"
In the enterprise, Xia Huabiao is recognized as the "chief product manager".
Does the enterprise know what kind of product it wants to be? In the early days, the team had an argument. It is an enterprise service portal. Is there less R&D investment and reference products in the market? Or is it an intellectual property SaaS tool with low development difficulty and focusing on the needs of medium and large enterprises? Xia Huabiao believes that these are not the development directions that enterprises know. A large number of small and medium-sized enterprises in China are facing transformation and upgrading. Enterprises know that only by solving the difficulties and pain points of SMEs' innovation can they create unique social values. There is no shortcut to this road. Products must meet the four requirements of simplicity, comprehensive function, rich data and accurate algorithm, so as to break through the bottleneck of traditional enterprise service industry, provide diversified innovation empowerment for enterprises in different fields and different development stages, and benefit the majority of small and medium-sized enterprises.
Xia Huabiao participated in the planning and discussion of each version of the product, and often polished the functional details with the team to make the product experience more convenient and efficient. Product function can solve the deep-seated pain points in the process of enterprise innovation.
Take the function of "scientific and technological information" to help enterprises clarify the direction of innovation as an example. Small and medium-sized enterprises have long faced the problems of difficulty in obtaining scientific and technological information and inaccurate information. Enterprises know that they have built the world's largest periodical paper database and patent database, and through data cleaning, integration, labeling and other governance work, they have realized the integration of scientific and technological literature data with enterprise industrial and commercial data, enterprise main product data and industrial chain data, and can accurately analyze the key technologies in each link of the industrial chain, and form a dynamic map of scientific and technological information with thousands of enterprises. At the same time, large-scale model technology is used to intelligently refine and analyze technical documents, so that enterprise users can quickly obtain the required scientific and technological information through simple natural dialogue and interaction.
Constructing the basic platform of China science and technology innovation industry
The innovation cost of domestic small and medium-sized enterprises is high, and it is difficult to obtain resources. The key technological innovation is facing the pain of "sticking the neck". The crux lies in the lack of inclusive and efficient docking channels for scientific and technological resources. Enterprises know that they are committed to building a basic platform for science and technology industry, providing systematic support for innovation and development, transformation and upgrading of enterprises, gradually enhancing the willingness and ability of small and medium-sized enterprises to innovate, promoting the breakthrough of the "stuck neck" dilemma and realizing high-level scientific and technological self-reliance. Xia Huabiao divides the goal of enterprise knowledge construction into three stages: information system-model system-ecosystem.
In the information system, enterprises know how to break the multi-source heterogeneous "data island" and realize the "six-chain integration" of industrial chain, innovation chain, education chain, talent chain, capital chain and policy chain data. It is necessary to integrate and process global innovation intelligence information across languages and architectures, so that all kinds of scientific and technological innovation data can be correlated and provide data support for enterprise R&D, innovation and business decision-making.
In the model system, enterprises know to build a large model of domestic independent and controllable scientific and technological services, and introduce senior experts in vertical fields for collaborative training to improve the applicability and matching accuracy of scientific and technological data. For example, it helps enterprises to sort out the technological context and identify cutting-edge technologies in scenarios such as technical literature interpretation and technological innovation point mining, and matches resources according to the characteristics and needs of enterprises in resource links such as science and technology innovation fund and Industry-University-Research, so as to create a transparent, accurate and efficient innovation channel for enterprises.
In the ecosystem, enterprises know that it is necessary to attract a large number of enterprises and service providers to settle in the platform, so as to realize the ability of continuous active innovation subjects, continuous accumulation of innovative resources, continuous improvement of supply and demand, and continuous evolution of scientific and technological innovation ecology, so that enterprises that were originally unable to innovate and dare to innovate have higher willingness to innovate and success rate, and promote technological progress and industrial upgrading.
social service
As a representative of XX National People's Congress, Xia Huabiao took the lead in submitting the Proposal on Perfecting and * * * Enjoying the Talent Pool of Technical Investigators in Nanshan District in 2022.