laitimes

The "White Paper on Intellectual Property Rights in the Chinese Intelligent Industry 2021" co-authored by 300 Cloud was released

On January 27, the "Chinese Intelligent Industry Intellectual Property White Paper 2021" (hereinafter referred to as the "2021 White Paper") organized by the Academic and Intellectual Property Working Group of the Chinese Intelligent Industry Development Alliance (hereinafter referred to as "AIIA") was officially released. Nanjing 300 Cloud Information Technology Co., Ltd. (hereinafter referred to as "300 Cloud") was invited to participate in the preparation work, from a professional perspective on the development opportunities of the industry.

The "White Paper on Intellectual Property Rights in the Chinese Intelligent Industry 2021" co-authored by 300 Cloud was released

This is the fourth consecutive year that AIIA has organized member units to write a research report on intellectual property trends and problems in the field of artificial intelligence, the 2021 white paper includes three fascicles and a case selection, and the "Fascicle I: Industrial Patent Analysis White Paper" co-edited by 300 Cloud focuses on technology and patent analysis on the basic layer of artificial intelligence, the perceptual cognitive layer and the industry application layer, showing the development status of artificial intelligence in the industrial chain and the trend of patent layout.

In the 2021 white paper, 300 Cloud proposed that data is the basic element of the artificial intelligence industry, and the value of big data is mainly reflected in its driving effect, that is, driving the development of relevant scientific research and industries, and improving the ability of all walks of life to solve difficult problems and add value through data analysis. The competitiveness of a business will increasingly depend on the ability to leverage data, applied analytics and technology for implementation. The importance of data as a new type of production factor is increasing day by day, and the application, governance and supervision of data need to be strengthened urgently. In November 2021, the Personal Information Protection Law of the People's Republic of China came into effect, and the Data Security Law and the Cybersecurity Law promulgated successively constituted a legal "troika" on network security and data protection, which put forward strict requirements for compliance and safe use of personal data or information, and the mainland has since had laws to rely on in the field of data security.

As a benchmark enterprise in the domestic automotive big data industry, 300 Cloud has made sufficient efforts in user privacy protection and data security, and has always adhered to the premise of ensuring data privacy and security to achieve the original data without leaving the domain. The enterprise has a complete network information security protection system, and has passed the Ministry of Public Security's national information security level three standard certification. In software development, project management capabilities have reached international standards, has successfully passed the CMMI3 level assessment certification.

300 Cloud uses practical cases to illustrate the application of data in subdivided industries, which is subtly changing our consumption habits. From the changes in the volume of used car transactions and transactions, we can see a glimpse. In 2021, the transaction volume of used cars was 17.5851 million units, an increase of 22.62% over the same period last year, and the transaction amount in 2021 was 1131.692 billion yuan, an increase of 27.32% over the same period last year.

In the field of auto finance, due to the limited ability to identify the risk of second-hand car fraud, the layering effect of the credit model and the poor user experience, it is impossible to accurately identify transaction risks such as financing purchasing, vehicle risk, car buyer-related risk and other behaviors, the risk exposure is huge, and how to reasonably value the vehicle in the second-hand car financial service and control after the loan has become the most concerned link of financial institutions.

Through the application of data analysis, data mining, classic model and AI technology, 300 Cloud can realize pre-loan anti-fraud, post-loan asset real-time monitoring, overdue analysis, asset scoring and risk warning, forming a professional anti-fraud ability in the field of auto finance, in line with the trend of auto finance full-cycle risk control management, making the pre-loan risk identification ability of the used car business with the banking system and auto finance companies as the main body. For the first time, the second batch of loan applications has been realized under the condition of controllable risk.

From big data to intelligent manufacturing, the era of industrial digitalization has arrived. The new data infrastructure of environmental protection and green is steadily advancing, modern information technology is providing better services for mankind, and in the future, 300 Cloud also hopes to exert its own value, gather scientific and technological strength, and promote the high-quality development of the digital economy.

Read on