WAIC Focuses on Industrial Data Value, Blockchain, and Privacy Computing to Build Trusted Infrastructure

Tech 2023-07-06 18:36:46 Source: Network

Global Network Technology Reporter Li Wenyao: Data is an important foundation for the development and scenario application of artificial intelligence technology, and also a key element for many comprehensive digital intelligent transformation in recent years. On July 6th, the 2023 World Artificial Intelligence Conference was unveiled in Shanghai, and in addition to big models, "industrial data value" has also become a hot topic of discussion

Global Network Technology Reporter Li Wenyao: Data is an important foundation for the development and scenario application of artificial intelligence technology, and also a key element for many comprehensive digital intelligent transformation in recent years. On July 6th, the 2023 World Artificial Intelligence Conference was unveiled in Shanghai, and in addition to big models, "industrial data value" has also become a hot topic of discussion.

Data is the raw material for AI machine learning and large model training, and privacy protection and efficient circulation are seen as key measures to value data. Zou Zhiyong, Deputy Director General and Executive Director of the United Nations Industrial Development Organization, said at the scene, "We need to protect data privacy, so that everyone can trust AI technology better."

Consolidate data foundation and improve data quality

The latest forecast data shows that the overall IT investment scale of China's Big data market will be about US $17 billion in 2022, and will increase to US $36.49 billion in 2026, doubling the scale. Compared to the global total size, the proportion of the Chinese market continues to increase during the five-year forecast period, and is expected to surpass the total size of the Asia Pacific (excluding China and Japan) by 2024, and approach 8% of the global total size by 2026.

In the current era of intelligence led by large models, the quality of data largely determines the breadth and performance of model applications, especially in vertical large model training in segmented fields where the acquisition and governance of industrial data and knowledge are important foundations. How to carry out high-quality dataset construction and governance is particularly important.

In the field of intelligent vehicles, cars with power as their core have shifted towards computing power competition. "Our company has fewer than 2000 people, and more than 70% of them are related to the computing power of artificial intelligence software." Liu Tao, co CTO of IM Motors, said that the amount of data brought by a car when driving on the road every day is amazing. Zhiji's daily data throughput exceeds 14 million kilometers. Zhiji has uploaded data that is really conducive to iterative automatic driving algorithm models to the cloud data factory by arranging efficient filters on the vehicle end.

As a technology company, Yu Hu, vice president of Ant Group Digital Technology, said that Ant Group Digital Technology has been able to reverse evaluate the quality of data through model effects in online and offline states by developing evaluation technologies for data quality and data value. In addition, trustworthy governance technology for large-scale distributed data based on blockchain technology is developed through cooperation with universities. Through trusted governance, it is possible to ensure the security and trustworthiness of data throughout the entire process.

Some people do data management, while others build infrastructure for data to reduce the cost of data acquisition. Ma Jian, co-founder of Jingtai Technology, introduced that its self-developed automation laboratory can quickly and massively generate high-quality data from the real world with efficient parallel robot experiments, further improve the ability of Jingtai Technology forecasting to predict and verify drug candidates, and "Jingtai Technology has opened the data closed-loop between intelligent algorithms and robot experiments".

Strengthen data privacy and standards, promote data flow

Digital resources are an important factor of production, and at the same time, Data breach events are also happening frequently. In addition to the complexity of data application scenarios and the characteristics of data itself in terms of universality, decentralization, complexity and diversity, data security problems such as data asset discovery and sorting, data classification, authority control, compliance analysis, AI prediction and analysis are further exacerbated.

"The core of the data flow problem is the lack of data security and data trust guarantee." Yu Hu, Ant Group, said that due to the lack of this trust mechanism, there is no way to let the owners, holders, development users and operators of the data form a trusted cooperation mechanism, thus impeding the sharing, opening and flow of public data. Yu Hu proposed that blockchain and privacy computing can form a trusted trust infrastructure and promote the flow of industrial data.

The use of blockchain technology can achieve authorized use, traceability, and protection of data; Privacy computing can be used to verify the availability and invisibility of data, protecting data privacy. The full integration of the two technologies can promote data flow and activate data value.

Ant Group is leading the industry in blockchain, privacy computing, data security compliance and other technical fields on which data elements flow. It is understood that Ant has developed the privacy collaboration platform FAIR, which deeply integrates the advantages of privacy computing and blockchain technologies: the collaboration process is driven by smart contracts, data flow is solved by privacy computing engines, and rights are confirmed, registered, and transaction consensus is achieved through blockchain technology. This platform has been applied in institutions such as Hangzhou International Digital Trading Center, Sichuan Port Investment Group, and National Industrial Information Security Development Research Center.

Last December, the Hangzhou International Digital Trading Center was unveiled and established. As of December 2022, Hangzhou Digital Communications has established cooperative relationships with 215 enterprises, launched 428 products, and achieved 457 data business transactions, with a cumulative transaction amount of over 1.3 billion yuan. Behind this is the comprehensive support of Ant Group's data element circulation technology and products.

IDC pointed out in the Privacy Computing Panorama 2022 report that looking ahead to the data Factor market after 5-10 years, blockchain and other complementary technical capabilities will be indispensable. At present, the technical solution of "blockchain+" has become an industry consensus and is seen as a standardized solution for data element circulation.

Technology companies use digital technology to protect data privacy, while traditional companies have taken the lead in achieving standardized "production" of data. Shanghai Steel Union has been rooted in the commodity data service industry for 23 years, covering almost all commodities. As the first bulk commodity data service provider certified by the International Organization of Securities Commissions (IOSCO) in China, Shanghai Steel Union has built a huge and professional data collection system, and has successively completed three series of products listing on the Shanghai Data Exchange, namely "bulk commodity price", "Big data of bulk commodity industry" and "bulk commodity data application service (data terminal)".

Zhu Junhong, Chairman of Shanghai Steel Union, stated that in order to improve the efficiency of data circulation, Shanghai Steel Union has established a complete set of standards for bulk commodity data, including collection, inspection, governance, etc., to achieve standardized circulation of data in traditional industries.

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