AI Insight 2023-05-28
One
Civil aviation customer service field
In the field of civil aviation customer service, with the continuous development of the Internet and artificial intelligence technology, the current customer service system can no longer meet the needs of rapid business development. Therefore, major airlines have accelerated the construction of intelligent customer service, built intelligent customer service robots, and relied on advanced dialogue engine, semantic engine, voice engine and other technologies to improve passenger intent recognition, passenger self-service, robot interaction and other capabilities, and accelerate the digital transformation of aviation customer service.
At present, intelligent customer service robots can use natural language understanding technology (NLP), multi-round dialogue, F&Q, knowledge graph and other forms to complete the processing of most travelers' appeals. The rest of the troubleshooting services must still be provided by agents. Therefore, there is still a long way to go to improve the intelligent capabilities of robots and eventually completely replace human labor. In the future, civil aviation intelligent customer service robots will improve passengers' self-service capabilities through artificial intelligence-related cutting-edge technologies such as automated machine learning and neural network architecture search, and accelerate the pace of fully intelligent passenger service construction.
In the future, intelligent customer service robots will expand from service scenarios to marketing scenarios, and add external channel service capabilities such as manpower, finance, and operation and maintenance on the basis of the original aviation customer service, continuously improve system application scenarios, achieve win-win construction through cooperation with other systems, and form a more intelligent Internet sales and service ecosystem in the post-epidemic era.
With the continuous development of the Internet, big data and artificial intelligence technology, the existing customer service system in the aviation field cannot meet the needs of rapid business development, and there are the following problems:
(1) Business scenarios such as online direct sales channel service assurance, rapid digestion of traffic peaks, and customer precision marketing.
(2) The passenger intent recognition rate is low, which cannot effectively guide passengers to solve problems by themselves.
(3) The knowledge base system has problems such as single form of knowledge display, difficulty in knowledge finding, low efficiency of knowledge operation, lack of dynamic feedback mechanism, and lack of life cycle management.
Two
Healthcare
In recent years, the development of artificial intelligence (AI) technology in the medical field has received more and more attention. The application of artificial intelligence in the medical field can play a role in many aspects, from improving the quality of medical services to improving medical efficiency.
First, the applications of artificial intelligence can be divided into two broad categories: computer-aided diagnostics and medical robots. Computer-aided diagnosis is the use of artificial intelligence technology to help doctors diagnose conditions more accurately and quickly, which can improve the accuracy of diagnosis and reduce medical errors. For example, Google in the United States has developed an AI technology that can diagnose heart disease more accurately than doctors. Medical robots, on the other hand, are able to perform some medical tasks automatically, such as delivering drugs, providing medications, etc.
In addition, artificial intelligence technology can also be used in the research and development of smart medical devices. Smart medical devices can not only collect the patient's health data, but also compare this data with the database in the medical field to analyze the patient's condition and propose a reasonable treatment plan. From this point of view, smart medical equipment can improve medical efficiency, reduce the cost of communication between doctors and patients, and also bring better medical experience to patients.
In terms of technological development, artificial intelligence technology is expected to achieve more achievements in the medical field. For example, we could use drones to deliver medicines to the wounded. In addition, AI technology can also be used for smart drug discovery, making drug discovery more efficient. It is believed that in the future, artificial intelligence technology can also be used for gene therapy, thereby improving the cure rate of diseases. With the development of artificial intelligence technology, the application of artificial intelligence in the medical field will become more and more extensive in the future.
Three
Construction industry
At present, building equipment automation system (BAS), communication automation system (CAS), office automation system (OAS), etc. used in housing construction construction is of great significance to promote the development of the construction industry. Through artificial intelligence technology, real-time monitoring of various departments in the housing construction process can form corresponding data reports, provide corresponding data analysis for the development and improvement of follow-up projects, and play a good role in promoting the green and informatized sustainable development of the construction industry. In view of the problems existing in the traditional building construction process, the use of artificial intelligence technology can be better improved and solved, so as to realize the innovation of the working mode of housing construction, and at the same time improve the quality of the entire building construction. Therefore, the use of artificial intelligence technology in housing construction is an important development trend of construction enterprises in the future.
The advantages of the use of artificial intelligence technology in housing construction are not only in technology, but also in the management of housing construction. The application of artificial intelligence technology in housing construction can better solve the shortcomings of traditional construction technology and management, optimize the construction mode, and improve the overall quality of construction. Therefore, in order to improve the stable progress of construction work of construction enterprises, we should pay attention to the use of artificial intelligence technology, and apply intelligent technology of smart pipe gallery, smart cloud construction site and prefabricated construction to provide a strong guarantee for the development of construction enterprises and promote the healthy and stable development of the mainland construction industry and artificial intelligence technology.
Four
Energy sector
Under the guidance of national policies, new energy wind power generation, as the most important component of clean energy, has broad application prospects. The rise of wind power generation has led to the continuous improvement of wind power generation technology, whether it is the single capacity of wind turbines or the total installed capacity of wind farms, it has changed from kilowatts to megawatts. However, with the increasing proportion of wind power in the power grid, the state has issued a policy of parity on the grid, which makes how to improve the economic benefits of wind power gradually become a new topic for wind power enterprises.
Artificial intelligence technology is an emerging technology that combines the advantages of information technology, computer technology and electronic technology, and is widely used in many fields. It has the ability to optimize resource allocation and effectively save labor costs; Not easily disturbed by external factors; Convenient parameter adjustment can be realized; High coordination of applications; It will have better performance in information collection and data analysis, and information feedback.
With the rapid development of artificial intelligence technology, its combination of big data, image recognition, GPS/Beidou positioning system, cloud computing, infrared imaging and other technologies has gradually been applied to the intelligent design of wind farms, panorama of equipment status, intelligent data analysis, intelligent monitoring of plant areas, etc., to realize the intelligent wind farm of centralized monitoring of wind farms, unattended, less attended, and regional maintenance, creating a new pattern of safe and reliable equipment, low personnel safety risks, cost saving and efficiency, lean and efficient management, and achieving accurate, fine, and efficient enterprise The economic management requirements improve the core competitiveness of enterprises.