Wen/Zhang Baofeng Big data will undoubtedly play a great role in the digital society, especially, the ability of data mining and analysis is more critical. Therefore, players in the industry who can control the pulse of the industry development through big data intelligent analysis, who will grasp the initiative of the market and competition. Let's take a look at what big data-based intelligent analytics actually subvert. Social life will change and transform The IT industry is not like oil and other industries that can bring new value-added products to human society. Similarly, smart analytics of big data will not directly bring in brand new specific products. This is due to the fact that information can only really generate social value after it has been used, so big data analytics, as information technology, is an intermediate industry. The fundamentals of human social life is food, clothing, housing and transportation, technology is ultimately to serve these traditional needs, just in a different form. New technologies sometimes change the service mode of traditional industries, such as Internet advertising for traditional media advertising, when the rise of Internet services, advertising gradually from the traditional industry into a new Internet advertising industry, and thus creating almost 99% of the Internet players. New technologies sometimes also change the efficiency and effectiveness of services, for example, microblogging is now mostly used as a monitoring tool. In contrast to traditional media, this service model has changed the efficiency of information dissemination and the scope of the information audience, and because of the weaker centralized control of the media, this seemingly weak characteristic has instead turned into an advantage in the current social environment. Returning to the intelligent analysis based on big data, its essence is the issue of service efficiency and effectiveness of the digital society, and the important premise for its realization is digitalization. With the development of information technology, people's clothing, food, housing and transportation service system will be digitized, including retail, logistics, government departments, food and beverage systems, etc., the virtual world and the physical world together, the virtual world carries a large number of service delivery process, people no longer need to go to the scene to enjoy the service. And once this big industrial background is formed, the issue of efficiency and effectiveness will become the most critical competitiveness of the whole industrial service. In other words, the final cost competition of service is whoever has the highest efficiency and best effect under unit cost will become the king. Especially in the context of the diminishing constraints of physical time and space, every player in the industry chain may face global competition. And in the broader competitive environment, big data will change the mode of operation of enterprises and enhance their adaptability, judgment and efficiency. Therefore, the big value of big data is more in facilitating industrial change and transformation than in creating new products. Promising to solve the problems of artificial intelligence The hype of big data is not purely to follow the trend, and its focus is to solve the scalability and growth of artificial intelligence. Traditional AI has come a long way in decades, and change has been particularly slow in the last three decades. This is because while traditional AI can be solved for any given defined problem and scenario, it is embarrassingly impossible to exhaust all examples and parameters in advance, making it difficult to replicate existing models and algorithms for AI across systems. Numerous scholars and industrial elites have endowed intelligent analysis based on big data with a beautiful vision that once the digital society is formed, everything in life can be described based on data. This described information will become the basis for intelligent growth and decision-making judgment. If computers can find out the learning laws and methods behind them, the cross-domain scalability of human intelligence can be reflected in the virtual world of computers and fuzzy judgments can be made. More importantly, such an analysis system will have the unprecedented basic ability of artificial intelligence - learning ability, but also according to the environment (data) changes and constantly grow its intelligence, and even have the scalability of extrapolation. Theoretically, once a machine has the ability to learn, the computer system will have the typical trait of a human being - creativity. If we expand along this line of thought, intelligent analytics based on big data will further replace the work that must be done by humans in traditional service systems, especially the most costly parts. For example, there is a Spanish learning program called "domingo", which can be tailored to the learner's situation and ability. In the past, this would normally have to be done by the human brain. However, there is a great deal of uncertainty as to whether intelligent analysis of Big Data can really reach the heights dreamed of, and it will take time for an all-digital society to take shape. User Profiling Capabilities Shape Competitive Advantage In the IT industry we live in, over time, technologies converge, product forms converge, underlying service approaches converge, and therefore costs inevitably converge as well. In this way, the industry players price war is difficult to maintain long-term, will inevitably force the top of the industry chain of service providers will be differentiated mainly in the "service". The essence of the service is "can really timely and accurate judgment of the user's needs", the basis for this judgment is "user portrayal capabilities. When the IT background system can accurately determine when, where, who, what to do, what will do when all the services will be targeted, not only to achieve the lowest cost, but also to achieve the best results. In this regard, the intelligent analysis of big data is most likely to subvert the user-oriented products and services market, regardless of which aspect of the service is clothing, food, housing and transportation, whether it is to sell or advertise, as long as the object of the service is "people", the intelligent analysis of big data will be able to provide the best recommendations to improve the quality of service. However, from the current research, the technological competition of products and services has returned to the origin, and the data itself has become the source of competitiveness. This situation will eventually change. In fact, analysis, modeling and interaction are inextricably linked, and only a system with feedback and the ability to learn continuously can achieve the portrayal of the user. If we compare a product or service to a car, big data analytics can be seen as the engine, and data is like the essential gasoline in the engine. Therefore, the control of data and the portrayal of users will inevitably become the inevitable strategy and technology layout strategy for players in the industry chain who provide services to end users, and the operation of data assets may also become a new trend and trend. Machine Replacement of Labor-intensive Services Due to the constraints of economic conditions, labor costs vary greatly in various regions and industries, which directly leads to the variability of services in various regions. However, in the long run, the cost of things that can be done by machines must be lower than the cost of "people". We can foresee that automation will be an inevitable feature of the times to come. For example, Foxconn, one of the most labor-intensive companies, has deployed robots to replace manual labor in production lines for cost-saving reasons. And in the telecom industry, the network service and operation and maintenance part is visible as a labor-intensive service. Telecom operators' networks serve billions of end-users globally, and for a variety of reasons, a large number of online problems and incidents need to be resolved on a daily basis, and nowadays the solution is heavily based on manual labor and experience to improve the solution, as well as better/timelier locating and resolving FCAPS (Fault, Configuration, Accounting, Performance, Security) issues, which is the key. Performance, Security) issues, this is a typical scenario that can be disrupted in the era of Big Data Intelligent Analytics. Of course, Big Data Intelligent Analytics may not be able to achieve complete automation, but at least it can significantly reduce the human resources investment in user services or support systems. In this field, the final realization of the effect of human replacement also needs to depend on the degree of digitization of the system itself, as well as the level of the analysis system can achieve. Cross-generation products to subvert the traditional industry pattern The essence of information service is the optimal effect and efficiency of the whole process of information collection, transmission, storage, calculation and presentation. In each field of cloud, management and end, big data intelligent analysis may form a cross-generation product or solution. In the traditional operator market, intelligent analysis based on big data is likely to redefine the next-generation network management, and significantly reduce the OPEX in the industry chain according to the specifications and requirements of intelligence. intelligent analysis based on big data can also define the capabilities and requirements of the next-generation network intelligence solutions, and provide new product forms with cross-generation significance through the near-automated system. In the field of terminal business, intelligent experience can help manufacturers to break away from competition in physical parameters such as CPU and screen. It can be said that one of the competitive characteristics of the next generation of terminal equipment is "intelligence", and terminal intelligence will become the basic standard for mainstream or high-end models. In the field of enterprise computing business, big data can provide intelligent organizational support and improve the efficiency of decision-making and management. Some companies in the industry have already defined the next generation of product forms, namely enterprise big data analysis engine, focusing on streaming data processing and unstructured data processing.