Recently, Mr. Ye Xinjiang, CTO of Daily Interactive, was invited to attend the WAIC World Conference on Artificial Intelligence, and delivered a speech on the theme forum of “Graph Database Technology and Application under Big Data Association”. He discussed “Data Intelligence under Trillion Graph” with the experts and audience.
According to Ye Xinjiang, Daily Interactive was founded in 2010 to provide APP message push service. More than a decade, daily interactive participation and witnessed the rapid development of mobile Internet industry, relying on its own more huge amounts of data resources and large data, artificial intelligence technology advantages, to build a complete ecological data intelligent service, providing professional solution of big data, push the mobile Internet, brand marketing, financial, and wisdom city niche for intellectualization of the upgrade.
At present, Daily Interactive has grown into a new economic complex that integrates the characteristics of emerging fields such as the Internet, big data, artificial intelligence, cloud computing, etc., and strives to build a data middle-platform product — “Daily Digital Governance Platform” to output digital governance capabilities and increase the efficiency of digital innovation in vertical industries.
New Developments in Data Intelligence: Solving Problems with Great Uncertainty in Reality
Daily Interactive takes “data makes industry smarter” as its mission and vision, and has its own unique understanding of data intelligence. In the information age, we describe objective reality mainly through data, Ye said. For example, we describe the road conditions through the visual monitoring screen, and use different colors to represent the congestion degree of the road. Increasingly, we are using data for diagnostic and causal analysis, such as attributing road congestion. In recent years, with the continuous explosive growth of data and the wider application of cutting-edge technologies such as machine learning and graph mining, data intelligence has developed to a new stage. At present, the application of data has not stopped at the stage of description and diagnosis. People hope to solve the problems with great uncertainty in reality and predict the future through data intelligence, so as to grasp the situation, grasp the trend and grasp the initiative.
Proper solution: Ontology modeling and retrieval
Ye Xinjiang mentioned that in reality, problems with great uncertainties are often problems in an open environment and are affected by many factors. In order to solve such problems, the traditional deep learning method based on neural network requires a large number of parameters to model the environment. For example, the recently popular GPT-3 model contains hundreds of billions of parameters, and the cost of one training can reach tens of millions of dollars. Even so, this form of AI will hardly reach the level of human intelligence.
Therefore, we judge that the final form of artificial intelligence should be the “human brain + computer” man-machine symbiosis. How to realize “man-machine symbiosis” to solve these uncertain problems? Data intelligence based on knowledge graph is a promising direction. On the one hand, existing knowledge is digitized through ontology modeling, enabling computers to have the thinking mode of human brain. On the other hand, by searching and reasoning on the knowledge map, the human brain can make use of the computing power of the computer. To achieve this goal, the underlying infrastructure needs to be compliant with the modeling architecture and capable of fast retrieval and global derivation. The comprehensive graph database system, which combines graph query system and graph calculation system, can meet these requirements.
The practice of data intelligence in the trillion-scale map: big data fighting the epidemic
Then, how to develop data intelligent application based on the comprehensive graph database system to solve the problems of great uncertainty in reality? Ye Xinjiang took daily interaction to fight the epidemic with big data as an example, and shared the data intelligence practice of daily interaction under the trillion-level graph.
After the COVID-19 epidemic broke out in 2020, Daily Interaction quickly established a big data anti-epidemic team — “Ganyi”, and cooperated with Academician Li Lanjuan’s team to participate in the battle against novel coronavirus, conducting in-depth research on the situation analysis and transmission path analysis of the epidemic, so as to comprehensively contribute to accurate prevention and control of the epidemic.
In order to help local governments achieve efficient epidemic prevention, the company, together with Academician Li Lanjuan’s team, proposed the concept of “unconscious close contacts”. Based on the big data of human time and space, the company helps relevant departments find key areas, key groups and key scenes to achieve intelligent prevention and control. At the same time, in order to facilitate local governments’ comprehensive understanding of the situation of the epidemic, we use big data to reflect and quantify the risk of the epidemic in the current region, so as to provide strong data support for effective epidemic prevention and control. In order to facilitate the orderly resumption of work and production by local governments, we have also participated in the development of the health code encoding engine, which calculates the close connection risk by integrating the information from three dimensions of “space, time and human”, and then helps complete the final code issuing by combining the current prevention and control strategies.
In fact, these applications, rely on a comprehensive map database for people in the “space, time, human” three dimensions on the relationship between efficient modeling, retrieval, and reasoning, and the three dimensions of superposition formed eventually trillion-dollar diagram, expand the data intelligent in social governance, wisdom, health and other aspects of the application scenario.
conclusion
Nowadays, economic development presents a new paradigm, and data becomes a new factor of production, which plays an important driving role in future development. Graphic database, as an important infrastructure in the era of data intelligence, has created sufficient conditions for us to carry out complex computations such as dynamic retrieval, statistics and derivation of relations in multi-dimensional time and space in the whole domain.
In the future, daily interaction will continue to be practiced based on graph database, knowledge graph and other technologies. By tapping the potential of data, it will release the power of data interconnection, promote the solution of problems with great uncertainties in reality, and make greater contribution to industrial development and social progress.