Introduction: The AI+ field with diversified application scenarios is becoming an important battlefield for the market to explore investment opportunities in the AI industry chain. From the perspective of listed company announcements, Industrial Securities screened out companies with the core keyword of "artificial intelligence" in the year-to-date disclosure announcements, and summarized them into 43 AI+ directions, so that investors can better grasp the AI+ opportunities.
All 43 AI+ industry paradigms are sorted out
AI+ Office
Generative AI empowers office scenarios, reduces costs and improves efficiency, and reshapes office models. At present, AI technology can help enterprises reshape office models and empower office scenarios from three dimensions. Specifically: 1) In terms of content generation, generative AI has powerful digital content twin, editing, and creation capabilities, and the three core capabilities are expected to realize the possibility of text generation in the office industry, which is expected to reduce certain labor costs while greatly improving enterprise efficiency; 2) In terms of human-computer interaction, generative AI improves human-computer interaction capabilities, changes the way of information exchange, enables users to achieve more functions through dialogue with intelligent assistants, and improves enterprise work efficiency; 3) In terms of processing unstructured data, unstructured data refers to data with irregular data structure and is not easy to use two-digit logic representation, and traditional enterprises often need to spend a lot of time and energy and high costs when processing such data. With the help of AI technology, artificial intelligence can process such data more efficiently, improve the efficiency of enterprise data processing, and help enterprises open source and reduce costs. On the whole, with the help of generative AI, the office model will be reshaped, the efficiency of enterprise office will be greatly improved, the related costs will also be reduced, and the new model of AI+ office is expected to become the general trend.
AI+ Security
From information acquisition to decision control, AI helps build a new form of security. At present, under the influence of the wave of AI, the security industry has undergone great changes in many aspects such as information acquisition and decision-making control. In the future, as the influence of AI continues to deepen, the security industry is expected to build a new industrial system, specifically: 1) In terms of information acquisition, generative AI can generate or supplement relevant parts based on a small amount of information through intelligent image analysis, human and vehicle recognition and other technologies, which provides greater convenience in the information acquisition stage, can realize the restoration of missing information and optimize monitoring efficiency; 2) In terms of solution construction, artificial intelligence can automatically generate code and achieve complete functions according to instructions, which can effectively improve the efficiency of scheme construction; 3) In terms of decision control, AI technology currently has the ability to automatically analyze and process large amounts of voice, text and image data, and can classify and analyze information. This feature makes the security system more sensitive to security threats and abnormal events, thereby improving the security system's autonomous decision-making and control capabilities. 4) In terms of prediction and early warning, artificial intelligence can establish a prediction model with algorithms to predict the time and place of potential events, such as traffic congestion and natural disasters, so as to prevent them in advance. Under the continuous influence of AI technology, the security industry is expected to achieve a comprehensive upgrade from information acquisition to decision control, and the industry as a whole is expected to build a new ecosystem in the future.
AI+ cybersecurity
AI technology improves retrieval and analysis capabilities, and helps network security achieve industrial upgrading. From the perspective of AI-enabled network security, 1) In terms of information retrieval, first of all, AI can detect potential threat characteristics in advance and automatically mine vulnerabilities by virtue of its high computing power; Natural language understanding technology can help users automatically extract threat intelligence, and various AI models can support the analysis and detection of potential threats. 2) In terms of security analysis, with the help of AI technology, some deeper and more basic problems such as network attack and defense strategies, password/protocol/system security analysis will also be completed more efficiently; 3) In terms of operational efficiency, the birth of new applications such as AI-based security operation intelligent assistants can effectively alleviate the work intensity of customer service and other personnel, reduce the demand for such personnel in enterprises, and improve overall operational efficiency. On the whole, with AI technology, the network security industry will usher in a significant improvement in information retrieval, analysis, efficiency and other aspects, and the overall industry is completely different from before in terms of functionality and cost performance.
AI+Digital Government
AI technology provides assistance to digital government in process processing, decision support, and security assurance. AI technology for the improvement of digital government affairs mainly has three aspects, 1) process processing, AI can automatically identify and process repetitive and cumbersome tasks in government processes, realize automatic process processing, and then improve government work efficiency, for customer service such work that requires a lot of manpower, AI with natural language processing technology helps to reduce labor costs, improve service efficiency and convenience; 2) In terms of decision support, for the large amount of data that government departments need to process, AI can analyze and mine the data through machine learning technology, provide scientific basis and decision-making reference for government decision-making, and improve the accuracy and efficiency of government decision-making; 3) In terms of security assurance, AI can monitor the government's network system and data in real time through natural language processing technology, which can detect and prevent potential security risks in a more timely manner and improve the guarantee ability of government information security.
AI+ Media
From upstream content creation to downstream customer experience, AI empowers digital media. AI technology helps content generation, technical reporting, and ideological and political construction. 1) In terms of content generation, with the outbreak of the metaverse concept, users prefer the form of video and colloquial news reception, and AI technology can intelligently generate images, videos and sound effects in real time to create news visualization and audibility, and provide media news content that is more in line with user needs. 2) In terms of technical reporting, with the wide application of intelligent interviews and 5G + AI technology, news media can plan programs through these technologies, realize cross-scene reporting, and space-space holographic interaction, etc., which solves the limitations of time and space factors. 3) In terms of ideological and political construction, artificial intelligence technology creates a large database, through intelligent semantic analysis technology and intelligent interaction and other ways to make the text more "humane", better implement the upper concept to grassroots users, and artificial intelligence also contributes to the realization of public opinion monitoring and public opinion guidance. By boosting content creation and enriching digital scenes, AI + content + scenes have become a new engine for digital media.
AI+ Education
AI empowers education and makes individualized teaching a reality. AI+ education is currently mainly used in classroom teaching, after-school counseling, and the establishment of student evaluation systems. Specifically, 1) In the classroom, on the one hand, AI technology can improve the teaching environment and teaching efficiency through intelligent blackboards, digital teachers, etc., on the other hand, for individual experimental disciplines, artificial intelligence technology can simulate the real scene of the experiment, so as to ensure the safety of the experiment and save the cost of the experiment while allowing students to participate in the experiment immersively. 2) In the after-school link, AI technology can provide students with independent learning experience, and generate personalized after-school services that are close to students' needs according to different students' learning abilities and learning styles. 3) For teachers, on the one hand, AI can help reduce costs and improve efficiency in lesson preparation, marking papers, teaching and research, and on the other hand, it can establish a comprehensive learning evaluation system for students by generating large models. In a two-pronged approach, artificial intelligence will work simultaneously on the teacher and student side to create smart classrooms and smart teaching.
AI+ publishing
Complementing each other, AI and publishing are two-way empowerment. AI technology has added fuel to content production, version printing, and smart distribution in the publishing industry. Specifically, 1) In terms of content production, the application of artificial intelligence in the fields of manuscript editing and revision, duplicate checking and detection, and content proofreading can optimize the working mode, work form, and workflow of the traditional publishing industry, and improve the production and operation efficiency of publishers. 2) In terms of version printing, AI technology accelerates the efficiency of the printing chain and can accelerate the classification of printed versions through literature mining and semantic retrieval. 3) In terms of smart distribution, artificial intelligence can integrate different user needs, usage and consumption scenarios to realize multi-carrier presentation and multi-channel distribution of publishing resources, break the temporal and spatial nature of publishing and communication, and improve efficiency and customer reading experience. At the same time, because publishing institutions have accumulated a large number of high-quality content resources and have continuous high-quality content production capacity, they can also provide high-quality "corpus" for generative artificial intelligence large model training and feedback AI technology. With the two-way empowerment of artificial intelligence technology and the publishing industry, the quality and efficiency improvement of the publishing industry will accelerate in the future.
AI+ Film and Television
AI technology plays an effective role in various industrial chains of the film and television industry, and at the same time drives the landing of film and television IP. On the one hand, AIGC technology can be applied to the whole link of film and television production such as content creation, content production, and content promotion, such as: script creation, AI face and voice change, storyboard production, CG animation, special effects generation and processing, video editing, trailer poster production, etc. Effectively accelerate the production of the film and television industry and solve the problem of high film and television manufacturing costs. On the other hand, with the improvement of AI technology and the improvement of computing power, artificial intelligence products such as virtual humans and digital humans have gradually landed, and the film and television industry with well-known IP has monetized IP through relevant AIGC technology and shared traffic and dividends.
AI+ Games
Virtual into reality, AI+ game track accelerated. AI+ games are currently mainly used in game content generation, game authentication, and game equipment. Specifically, 1) In terms of game content, on the one hand, AI technology can be applied to the generation of game NPC, modeling, dubbing, painting and other content, reducing manufacturers' manufacturing costs. On the other hand, AI technology can strengthen the playability and interactivity of games, improve gamers' stickiness and willingness to pay, and increase enterprise revenue through intelligent recommendation, intelligent dialogue, and personalized generation. 2) In terms of game authentication, artificial intelligence technology can effectively identify pictures, text, actions, and sounds, effectively empowering game security and anti-addiction systems. 3) In terms of gaming devices, the development of AI technology has led to the emergence of wearable devices such as VR/AR, virtual devices, etc., which will help to enhance the fun of games and the immersion of players. In general, artificial intelligence works on both the supply and demand sides of games, reducing game manufacturing costs and improving players' game experience.
AI+e-commerce
Enabled by large models, AI+e-commerce ushered in new opportunities. Artificial intelligence has injected new vitality into the e-commerce industry's online live broadcasting, precise customer positioning and product launching. 1) In terms of online live broadcasting, with the maturity of e-commerce live broadcast formats, the specialization and innovation of live broadcast content have become an important trend. For specialization, artificial intelligence technology can effectively record live broadcast data, and create a more optimized live broadcast process strategy through the accumulation and analysis of data elements such as live broadcasting, product selection, commodity commission, instant popularity, and conversion rate. For innovation, the application of virtual humans in the live broadcast industry is eye-catching, and emerging technologies such as artificial intelligence, 5G, and VR will also inject new impetus into the future development of e-commerce live broadcast formats. 2) In terms of customer positioning and product placement, data analysis technology can identify the motivations, preferences, habits and needs behind customer behavior by establishing models, depict customer portraits, assist marketers to carry out targeted marketing to customers, provide customers with precise and customized services, and smart customer service and other technologies pay attention to customers' pre-sales consultation and after-sales experience, so as to accelerate customer demand response. In the era of Web 3.0, riding the wind of artificial intelligence, the online e-commerce industry will usher in a new era of opportunities.
AI + advertising marketing
From ad generation to marketing delivery, AI+ helps advertising and marketing in an all-round way. Artificial intelligence technology assists advertising and marketing companies from the perspectives of advertising creativity, marketing content generation, and marketing scene delivery. 1) In terms of advertising creativity, on the one hand, AI technology expands the traditional advertising and marketing methods, and widely integrates various resources through high-speed reading capabilities to assist the production of creative materials, on the other hand, the emergence of large models and virtual humans enables marketing companies to use these tools to win the attention of users. 2) In terms of marketing content, marketing companies can use AI to efficiently capture the value of the content industry and assist in content marketing creation and marketing plan generation, 3) In terms of marketing scene delivery, advertisers can effectively analyze data and user insights on users through AI technology to achieve accurate and creative delivery, provide users with intelligent and personalized products, and shape brand value. Artificial intelligence provides customers with intelligent, personalized and creative services by expanding graphic and video content, and the potential of AI+ advertising marketing is expected.
AI+ Robotics
AI technology makes it possible for robots to operate autonomously, and the prospects for industrial applications are becoming broader and broader. At present, AI technology makes it possible for robots to operate autonomously by building intelligent systems that are fully perceived, interconnected in real time, analyzed for decision-making, and self-learning. Specifically, AI strengthens the robot's perception ability through robot vision technology, and improves its ability to analyze decision-making and learn independently by building an algorithm model, so that the robot can complete the job independently. In addition, intelligent mobile robots represented by humanoid robots generally have higher needs in perception and decision-making than traditional industrial robots. AI technology can just fill this gap, thereby accelerating the industrialization of more versatile humanoid robots. With the blessing of AI technology, the demand for robots in extreme conditions such as coal mines, deep seas, and polar regions will be greatly increased, and the overall application prospects of the industry will become more and more broad.
AI+ Industrial
AI technology empowers traditional industries in many aspects, and all aspects of the industrial field are expected to be comprehensively upgraded. AI is comprehensive for the improvement of traditional industries, and R&D and design, manufacturing, management services and other links can achieve efficiency improvement with the blessing of AI technology. Specifically: 1) In terms of R&D design, generative AI can effectively improve efficiency and accuracy in R&D and design by integrating with different types of industrial design software and using cloud computing databases to complete various requirements; 2) In terms of manufacturing, natural language processing technology can improve the information processing and perception execution capabilities of industrial robots, thereby improving their application space in the production and manufacturing links and achieving cost reduction and efficiency improvement; 3) In terms of management services, AI technology has made great achievements in marketing, supply chain, manpower and other fields with strong versatility and large data processing, and quickly helps staff to process and locate customer needs or related data by building models, saving a lot of labor costs and improving work efficiency. On the whole, with the continuous deepening of the influence of AI technology, traditional industrial fields can be beneficial in R&D and design, manufacturing, management services and other aspects, and the industry is expected to usher in a comprehensive upgrade.
AI+ Smart Cars
AI helps automotive intelligence and is expected to drive the automotive industry to improve quality and efficiency. Intelligent vehicle is a comprehensive system that integrates environmental perception, planning and decision-making, and multi-level assisted driving. At present, AI technology is mainly used in intelligent driving, intelligent cockpit, and Internet of Vehicles in the direction of intelligent vehicles. Specifically: 1) In terms of intelligent driving, artificial intelligence technology makes cars have automatic driving capabilities through machine vision and smart highway technologies, and enhances the safety of intelligent driving through continuous training perception. 2) In terms of intelligent cockpit, the artificial intelligence big model detects the interior and exterior environment, driver status, emotions, preferences and other contents of the cabin through perception algorithms and memory algorithms to ensure the safety and comfort of driving. 3) In terms of Internet of Vehicles, artificial intelligence provides convenience for manufacturers to test vehicle performance and unified regulation and control of automobiles through data collection and processing, and provides real-time road conditions, optimal driving routes and emergency alarm services for clients on the other hand. In general, AI technology subverts the traditional driving mode, taking into account the three advantages of safety, convenience and comfort during driving.
AI+ unmanned equipment
The information age opens a new chapter of AI+ unmanned equipment. Artificial intelligence technology has accelerated the development of national defense equipment to the integration of mechanization, informatization and intelligence, and unmanned intelligent equipment is becoming an important part of the national defense equipment system. At present, artificial intelligence technology is useful in military equipment such as drones, unmanned vehicles, unmanned ships, unmanned communication equipment, and unmanned navigation equipment. On the one hand, artificial intelligence technology helps unmanned weapons and equipment represented by drones, unmanned vehicles and robots to have comprehensive capabilities such as detection and identification, analysis and processing, and autonomous decision-making, which will have a wide and far-reaching impact on combat modes and battlefield environments. On the other hand, unmanned communication equipment and unmanned navigation equipment can enhance the rapid generation and extraction of military intelligence through AI technology. Today, when the concept of information warfare superimposed on intelligent armament construction has received widespread attention, AI+ unmanned equipment has great prospects.
AI+ military applications
Multi-point blossoming, AI+ helps military applications. Specifically, artificial intelligence has benefits in military platforms, military training, and military manufacturing. 1) In terms of military platforms, AI technology can be used to build military platforms and integrate battlefield intelligence, which is convenient for military research and decision-making such as combat mode research, scenario concept generation, and demand analysis decision-making. 2) In terms of military training, modeling simulation, virtual reality and military simulation training through artificial intelligence can not only save costs but also effectively train combat capabilities, helping the military accumulate experience in dealing with rapidly changing battlefields. 3) In terms of military equipment manufacturing, artificial intelligence technology can drive military factories to build a larger-scale, refined and efficient manufacturing chain. Modern warfare is undergoing unprecedented changes, and artificial intelligence is expected to dominate the battlefield, lead the "army" forward, and build a strong army.
AI+Smart Grid
Through the integration of information infrastructure and energy infrastructure, the stability, real-time, efficiency and economy of the power system are improved. At present, AI+ smart grid is mainly used in automatic monitoring of power system, power dispatching, alarm diagnosis and other directions. In the future, smart grids can build a full-process digital platform with the help of AI to achieve a high degree of integration between traditional energy equipment and digital technology. Specifically: 1) In the automatic monitoring stage, AI promotes the intelligence of traditional energy equipment, and the automatic monitoring, transmission and reception of various electrical quantities and environmental variables will become the technical basis for the construction of new power systems, and at the same time improve the edge perception capabilities of new power systems. 2) In the power dispatching stage, artificial intelligence can deepen the needs of each communication link in the power system, and apply smart grid power generation, transmission, transformation, distribution, power consumption and dispatching to enhance the stability, real-time and efficiency of products. 3) In the alarm diagnosis stage, the equipment is personalized monitoring through rich AI algorithm models, and more accurate prediction and alarm of the health status of the equipment are given, and intelligent solutions are given to guide operation and maintenance. With AI, traditional energy equipment has achieved a digital transformation, providing revolutionary answers to reduce downtime losses, O&M costs, and improve the efficiency of power systems.
AI+ power equipment
Through big data, artificial intelligence and other technologies, the parallel management of multiple energy sources can be realized and the power generation performance of power stations can be improved. At present, AI+ power equipment mainly focuses on energy operation and maintenance, as well as intelligent monitoring. In the future, power equipment is expected to use AI technology to improve the research depth of power electronics and power grid support, and further create a multi-energy integration solution. Specifically: 1) In the energy operation and maintenance stage, artificial intelligence technology can help target customers achieve centralized operation and maintenance, operation and management of various energy sources such as photovoltaics, energy storage, and charging piles, and build a smart energy brain; 2) In the intelligent monitoring stage, artificial intelligence can be applied to the tracking control system, mainly for intelligent photovoltaic tracking, and realize the functional integration of three artificial intelligence control technologies such as terrain tracking, training machine guidance, cloud recognition and cloud projection. Under the wave of AI, the level of informatization and intelligence of the power system continues to improve, and new energy power is constantly developing in the direction of "visible, predictable and regulated", providing more cutting-edge products for the industry and expanding product coverage.
AI+ medical informatization
AI empowerment is expected to improve the quality and efficiency of the medical information field. AI+ medical informatization has a wide range of application scenarios, including electronic medical records, medical resource regulation, and remote treatment. 1) In terms of electronic medical records, artificial intelligence can sort out and understand the dialogue content between doctors and patients in multiple modalities, and improve the efficiency of medical record records. At the same time, through the reading of historical medical record information, AI can better understand the basic information of patients, past drug history, etc., so that the patient image is clearer. 2) In terms of medical resource regulation, the improvement of AI computing power accelerates the collection, processing, and exchange of hospital information, drug stock, and patient conditions, making it more convenient to allocate medical resources, explore medical potential, and improve the response efficiency of public health events. 3) In terms of telemedicine, virtual reality technology breaks through the temporal and spatial limitations between intelligent doctors and patients, and has benefits for postoperative tracking and chronic disease treatment. On the whole, medical institutions can realize information sharing and data integration and utilization with the help of medical information platform, and AI empowerment will comprehensively improve the efficiency of medical information processing, accelerate the digitalization of medical institutions and stimulate the development of the industry.
AI+ Medical Imaging
X-dense image data supports deep learning algorithm models, and AI empowerment is expected to improve the efficiency of imaging diagnosis. The training of deep learning algorithm models requires massive data support, and medical images have a broad space for artificial intelligence technology represented by deep learning due to its data-intensive characteristics, and the recognition and analysis of X-ray, CT and other types of images are the most mature. In terms of diagnosis time, the single-field image diagnosis time of the AI model is significantly shorter than that of pathologists. The three main application fields of AI+ medical imaging are: 1) enhancing the quality and generative effect of medical images through image generation models; 2) Quickly generate a large number of synthetic medical images for training machine learning models; and 3) predict disease progression and generate personalized reports throughout the life cycle. On the whole, AI-enabled medical imaging will improve the efficiency of pathological diagnosis and drive the intelligent upgrading of the pathological diagnosis industry.
AI+ drug discovery
AI big models help drug discovery and shorten the drug development cycle. At present, in the pharmaceutical field, AI pharmaceuticals are mainly cooperated by three major types of companies: IT technology companies, drug R&D CRO companies and large pharmaceutical companies, to jointly promote the process of drug R&D. IT companies use their Internet infrastructure and platform advantages to empower industry applications, while large pharmaceutical companies have relevant data on drug R&D, mature R&D pipelines and senior drug experts. At present, the layout of AI pharmaceutical companies focuses on drug discovery and preclinical research, and excavates and recommends subdivision steps such as target discovery and confirmation, drug structure optimization, and compound design through powerful computing power. AI-enabled drug discovery will help reduce drug R&D costs, shorten R&D cycles, and improve R&D efficiency, and AI drug R&D will benefit the future development of Internet platforms, CXO companies and large pharmaceutical companies.
AI+ assists decision-making
AI empowers human-computer interaction medical information technology systems to assist health practitioners in providing clinical decision-making. Assist clinical decision-making through data, models, etc., and provide decision-making support for doctors and other health practitioners. The specific application fields of AI+ clinical assisted decision-making include treatment plan assisted decision-making, preoperative planning, postoperative navigation and prognosis assessment, and intelligent interpretation of test report services for medical institutions and patients. Based on artificial intelligence, clinical assisted decision-making provides solutions covering the whole process of medical treatment before, during and after diagnosis by building a self-evolving medical knowledge base, and promotes the intelligent development of the industry.
AI+Smart Home
AI empowerment injects technology into the home, making it continuously upgrade to multi-functional, intelligent and diversified attributes to meet the needs of consumer segmentation. At present, AI+ smart home is mainly used in sweeping robots, intelligent projection, intelligent fitness equipment and other fields. In the future, smart homes are expected to realize whole-house intelligent systems with the help of AI and integrate consumer segmentation needs. For example: 1) sweeping robots, through artificial intelligence and other means, intelligent sweeping robots can identify obstacles encountered in the work process through the equipped cameras, identify different rooms, and further improve cleaning performance; 2) Intelligent projection, AI directly connects projection products to the Internet, and obtains various forms of entertainment services including audio and video, application services, etc., and realizes multi-scene penetration through intelligent services such as voice recognition; 3) Intelligent fitness equipment, AI through big data information collection and data analysis system and the use of virtual reality technology, etc., to develop intelligent fitness products that can meet personalized fitness needs, as well as virtual scene treadmills, social treadmills, etc. On the production side, AI has greatly improved production efficiency, realized large-scale customization of customized furniture products, and on the user side, AI is deeply integrated with various hardware in the home environment to generate interconnection and stickiness with users.
AI+ Professional Services
By providing a smarter professional services platform, AI empowerment is expected to improve the quality and efficiency of the professional services industry. At present, AI+ professional services are currently mainly used in human resource management platforms, exhibition service platforms, etc. In the future, the professional service industry is expected to take advantage of AI to provide personalized, professional and high-quality services, specifically: 1) On the human resource management platform, AI algorithms can deeply analyze the changes in human resource management and customer needs, deeply analyze the massive structural and non-structural data generated by the service delivery process of each product line, realize the innovative product and service combination of "intelligent matching" + "timely feedback" + "private domain traffic", and provide more new products, new solutions and new business models for human resource services; 2) On the exhibition service platform, use Internet +, big data, virtual imaging and other scientific and technological means to carry out in-depth cooperation with information technology companies, with offline exhibitions as the mainstay, supplemented by online exhibitions, to achieve an integrated development model of "online and offline". With the help of big data, artificial intelligence and other information technology means, a safer and more efficient professional service platform can be built, and each platform will deepen the professional field, create new products and provide new services.
AI+ beauty treatments
AI empowers beauty care multi-track and promotes model innovation. In the field of skin care, the domestic AI skin testing group standard was first released, and the establishment of technical standards will effectively promote the efficiency of AI technology to collect skin data. In the field of aesthetic medicine, AI may be applied to pre-plastic surgery consultation to empower patient education. Bethany's new brand Bethene tries the "AI + acne" model, integrating AI into the business model and throughout the user life cycle. Through the three functions of AI detection, filing and follow-up, it solves the pain points of high time cost of consumer consultation and insufficient personalization of acne removal solutions, and realizes one-stop customized services. AI empowers the beauty care industry, not only promotes the intelligent upgrading of instrument technology, but also promotes the transformation of business models, which will bring new growth points to the industry.
AI+ cultural tourism products
With the application of artificial intelligence, AR and other scientific and technological means in cultural tourism products, digital creative products and services with visualization, interactivity, immersion and other characteristics continue to emerge. At present, AI+ cultural tourism products are currently mainly used in digital venues, cultural tourism live broadcasts, content customization and other directions, and in the future, cultural tourism products are expected to integrate artificial intelligence, metaverse, VR and other technologies to explore new application scenarios. Specifically: 1) In terms of digital venues, relying on a new generation of information technology means such as big data, artificial intelligence, and virtual technology, offline science museums and planetariums to realize the online of venues and provide customers with intelligent and personalized products and services; 2) In terms of cultural tourism live broadcasting, with the support of new technologies such as 5G, new tourism formats such as "cloud entertainment", "cloud live broadcast" and "cloud exhibition" have frequently appeared, using big data, short video, live broadcast, virtual reality and other means to innovate cultural tourism consumption scenarios, provide scenarios for users' cultural tourism consumption needs such as short video shooting and tourism live broadcasting, meet users' immersive experience needs, and improve users' tourism experience; 3) In terms of content customization, AI technology continues to accumulate in deep learning and computer vision technologies, and has the capabilities of intelligent video editing, intelligent video cover extraction, intelligent video synthesis, video structuring and other capabilities in the field of video content production, and also uses AIGC technology combined with design to deeply cultivate intelligent services in different scenarios. With the improvement of technical service capabilities for metaverse application scenarios such as virtual digital humans, virtual spaces, and XR live broadcasts, the new forms of cultural tourism products are constantly developing, and are developing in the direction of communication and interaction with people to meet the needs of users' immersive experience.
AI+ Hotel
Through the intelligent hotel service system, AI empowers the intelligent upgrade of the hotel industry. At present, AI+ hotels currently provide intelligent services around the whole process of hotel before, during and after stay. In the future, the hotel industry is expected to take advantage of AI to reduce labor costs, improve management efficiency, and enhance guests' experience. Specifically: 1) In the pre-occupancy stage, the use of AI intelligent customer service, self-service front desk and other artificial intelligence technologies can improve response speed and reduce manpower input; 2) In the mid-stay stage, artificial intelligence technologies such as intelligent delivery robots, smart rooms, and self-service orders can provide personalized services, realize one-click contact of guests and one-click response to services, etc., and improve guest satisfaction; 3) In the post-residential stage, AI technologies such as AI revenue management and store tour management can provide digital quality inspection and assist marketing management decisions. Enabled by AI, the smart room service system opens up the closed-loop service required by customers, improves the monitoring of the whole process of service quality, provides guests with multi-faceted services before, during and after their stay, and increases the efficiency of hotel auxiliary management decisions.
AI+ clothing
Based on the design data accumulated in the past, artificial intelligence is expected to be applied to product design. At present, AI+ clothing is currently mainly used in the stage of clothing design and market analysis. In the future, the clothing industry hopes to take advantage of AI to improve R&D efficiency, reduce costs and increase efficiency, specifically: 1) In the stage of clothing design, clothing companies have accumulated a large amount of data in the design process for many years, which is a more useful training material for artificial intelligence; 2) In the market analysis stage, the consumption big data accumulated by clothing companies in the market for many years uses big data analysis technology and tools to accurately analyze consumer needs, based on this and combined with market trends, precise research and development can continue to achieve explosive product strategies. Under the impact of AI, more efficient market analysis can grasp market hot spots, improve design efficiency, and comprehensively improve product quality and operational efficiency through digital transformation and upgrading.
AI+ Food & Beverage
For the source of living water, artificial intelligence helps the raw material end to improve the quality and efficiency of food and beverages. At present, AI+ food and beverage is mainly used in the raw material end of products, specifically, including raw material breeding and raw material processing. In terms of raw material breeding, through the introduction of artificial intelligence technology, intelligent feeding and real-time monitoring and management are realized to meet the dynamic nutritional needs of the production end, and through the intelligent regulation and control of the breeding environment, a low-carbon aquaculture model with good economic benefits and green environmental protection is created while increasing production. In terms of raw material processing, computer vision technology superimposed on the sensor system helps the processing links such as picking, sorting, tasting and bagging, achieving cost reduction and efficiency increase. Driven by artificial intelligence technology, food processing and breeding in the food and beverage industry are developing in the direction of automation, low carbon and intelligence, and the prospects of AI+ food and beverage are promising.
AI+ Agriculture
With the application of intelligent control systems such as intelligent perception, intelligent equipment, and the Internet of Things, the agricultural industry is ushering in a new change, and the promotion of intelligent agricultural applications has become an inevitable trend in the future development of agriculture. At present, AI+ agriculture is mainly used in intelligent breeding, artificial breeding, vaccine production, and smart water affairs. In the future, smart agriculture is expected to take advantage of AI to improve agricultural production efficiency and quality, reduce farmers' labor burden, reduce resource waste and environmental pollution, specifically: 1) In terms of intelligent breeding, relying on modern industrial equipment, advanced materials, high-throughput detection, Internet of Things and artificial intelligence technology, the whole process of breeding is intelligently managed, including intelligent environmental control, intelligent feeding, intelligent inspection, automatic cleaning, automatic performance measurement and other key intelligent technologies and supporting intelligent equipment; 2) In terms of artificial breeding, build an innovative consortium of soybean and corn biological breeding, make every effort to break through gene editing technology, whole genome selection technology, big data breeding and artificial intelligence breeding, build a new and efficient commercial engineering breeding system, and help the sustainable output of major new varieties; 3) In terms of vaccine production, vaccine production will be handed over to an intelligent control center, and online detection and intelligent calculation will be carried out for the whole production process. Through the self-identification, self-learning and self-feedback functions of the production system, the whole life cycle of vaccine manufacturing is completed under the optimal process parameters, and the paperless production is carried out without human interference, which solves the problem of difference between production batches, ensures the uniformity, stability, efficiency and controllability of vaccine quality and production, and effectively improves product quality and production efficiency. 4) In terms of smart water affairs, the use of Internet +, big data, artificial intelligence, Internet of Things and cloud computing and other modern information technology means to form a complete set of highly integrated software, hardware, algorithms and models of water industry information solutions. In the application of artificial intelligence technology, the promotion of smart agriculture has also brought better management means and more efficient agricultural production methods to the agriculture, forestry, animal husbandry and fishery industry.
AI+FinTech
Relying on AI technology, the service capabilities of financial technology have reached a higher level. Today, most mainstream fintech companies apply AI technology to customer service and management decisions. Specifically: 1) In terms of customer service, build a customer service system with artificial intelligence as the core, provide customers with simple, fast, efficient and personal Internet financial services and artificial intelligence services, improve customer experience, meet user needs, enhance user experience and stickiness, and enrich and improve the Internet wealth management ecosystem to help customers achieve digital transformation and upgrading of finance; 2) In terms of management decision-making, through continuous optimization and iterative business processes to achieve cost reduction and efficiency increase, give full play to the positive effect of big data in empowering management decision-making, and apply artificial intelligence to analyze and predict. By using AI technology, fintech companies have stronger user stickiness, better experience, and improved decision-making levels.
AI+ brokerage
Relying on the data platform and artificial intelligence platform, AI empowers the brokerage industry. At present, mainstream brokerage companies combine their own characteristic businesses and deeply integrate AI technology with operations, risk management and customer service. Specifically: 1) In terms of operation, promote the development of a new technology ecosystem, continue to explore cutting-edge technologies such as artificial intelligence, cloud computing, and big data, and improve the digital level of the entire business chain; 2) In terms of risk management, improve the forward-looking risk management, optimize the performance of risk measurement with the help of high-performance technology, and empower business lines to enhance the ability of risk early warning and prediction. 3) In terms of customer service, form a digital operation capability system, strive to achieve digitalization and intelligence, provide customers with a full range of services, actively promote the intelligence of various services, and empower employees, management and business. The use of AI technology can not only improve work efficiency, but also tap into a wider range of wealth management needs.
AI+ Insurance
AI has become an important driver for reducing costs and increasing efficiency in the insurance industry. The cost reduction and efficiency enhancement effect brought by AI technology to the insurance industry is mainly reflected in risk identification, company operations, employee training and customer service. Specifically: 1) in risk identification, combined with big data and artificial intelligence, identify risks in advance, warn in advance, and reduce the number of insurance claims; 2) In terms of company operations, big data is used as technology to comprehensively promote the pace of digital transformation of business and management, so that scientific and technological innovation becomes the driving force for the company's long-term development. 3) In terms of personnel training, field training focuses on personal insurance, and the company's artificial intelligence practical training reached 3.53 million person-times. 4) In terms of customer service, AI helps insurance companies smoothly respond to changes in business models and empower insurance business and customer service. The application of AI can not only improve the level and strength of operations, but also predict risks and reduce costs.
AI+ Bank
AI technology has injected a channel of vitality into the comprehensive development of the banking industry. The application field of AI technology in the banking industry is similar to that of brokers, mainly reflected in risk management, customer service and business decision-making. Specifically: 1) In terms of risk management, actively realize the overall planning of digital risk control, continue to improve the research and development capabilities of risk management technology, deepen the multi-level application of big data and artificial intelligence technology, and promote big data risk early warning; 2) In terms of customer service, use artificial intelligence and big data to build systematic, engineered and productized artificial intelligence capabilities, improve the optimization of service processes in remote scenarios, adapt to the different needs of full customers, improve the quality and efficiency of operations and customer interaction experience, improve the breadth and depth of customer service, and help customer service reduce costs and increase efficiency. 3) In terms of operation, promote the transformation of experience decision-making to data decision-making, build an artificial intelligence decision-making platform, and give play to the supporting role of big data in decision-making. AI technology comprehensively promotes the in-depth development of the banking industry and promotes a deeper interpretation of the banking industry.
AI+ Digital Campus
AI technology promotes the transformation and upgrading of traditional parks, and gradually realizes the integration of traditional parks. The application of AI technology to digital parks is mainly reflected in two aspects: park management construction and resource integration. Specifically: 1) In terms of park management and construction, apply big data, Internet, artificial intelligence and other technologies to all aspects of park operation and management and park construction, cultivate and expand new momentum for park construction and development, improve the park's refined operation, information management level and comprehensive governance capabilities, promote the digital transformation of industrial parks, and digital parks integrating Internet of Things, data, services, and management become the future development direction of smart parks, so as to achieve high-quality and intelligent park construction and development; 2) In terms of resource integration, explore high-quality industries related to the main industry, focus on the core technology and innovation resources of high-end industries, invest in high-tech and high-quality industrial projects, and realize the integration and development of industrial head resources. AI technology provides more possibilities for the combination of intelligent industrial parks and humanistic care.
AI+ Smart Logistics
By scientifically deploying the logistics supply chain system, AI accelerates cost reduction and efficiency improvement in the logistics field. The application of AI technology in smart logistics mainly has three aspects, 1) information recognition, AI can quickly identify order information with the help of intelligent vision technology and OCR technology, and classify and process orders, complete the tedious and repetitive work of logistics order identification through AI, realize process automation, and greatly save manpower and material resources; 2) In terms of logistics and distribution, the artificial intelligence analysis function can allocate orders according to customer needs and distances, improve the efficiency and convenience of logistics and distribution, and reduce transportation costs; 3) In terms of goods warehousing, artificial intelligence vision technology can collect data in an all-round and holographic way through the camera, and automatically identify the name, length, width and height of the item, color and whether there is deformation, etc., so as to improve the visualization and intelligence of the goods storage. After continuous integration with AI technology, labor costs and transportation costs in the logistics industry will gradually decline, logistics and distribution efficiency will continue to improve, and the industry will usher in a comprehensive upgrade with the blessing of AI in the future.
AI+ Intelligent Transportation
Artificial intelligence and intelligent transportation are deeply integrated to achieve refined management of the whole transportation process. At present, AI technology is widely used in traffic management and traffic services through deep participation in transportation. Specifically, 1) In terms of traffic control, digital twin technology monitors and analyzes urban traffic flow in real time, so as to achieve the effect of accurate prediction, intelligent scheduling, and overall planning, and reduce the incidence of congestion and accidents. At the same time, the big data training model helps the transportation department to provide more optimized and humanized opinions on traffic control by continuously learning traffic scenarios. 2) In terms of traffic services, through the application of highway digitalization and artificial intelligence, intelligent transportation services such as highway unmanned toll, highway intelligent lighting, and intelligent signal lights have been successively generated, reducing the cost of highway operation and making traffic more efficient. With the blessing of AI technology, the traditional transportation industry will transform to digitalization and intelligence, and the development trend of the industry will gradually improve in the future.
AI+ Smart Mine
AI technology empowers the intelligent management and control platform for coal mine safety production and improves mine safety operation efficiency and management capabilities. At present, AI+ smart mines mainly focus on coal mine safety for perception, interconnection, decision-making, prediction, control, etc. In the future, smart mines are expected to use AI to upgrade their industries, reduce labor costs, and realize unmanned operation in the whole process. Specifically, AI integrates the main production systems such as "mining, mining, machinery, transportation, and communication" of coal mines, as well as real-time systems such as underground environmental safety and personnel positioning, to form an intelligent management and control platform for safe production with comprehensive perception, real-time interconnection, analysis and decision-making, independent learning, dynamic prediction and collaborative control. Coal mine intelligence continues to move towards intelligent systematization, the whole process decision-making covers richer information, the level of coal mine safety production management continues to improve, reduce mine safety risks, and improve mining efficiency.
AI+ Architectural Design
By generating and optimizing designs more efficiently, AI-enabled solutions are expected to improve quality and efficiency for the architectural design industry. At present, AI+ architectural design is mainly used in the scheme design stage, and relatively few applications are used in the preliminary design and construction drawing design stages. In the future, architectural design is expected to take advantage of AI to improve human efficiency and reduce costs, specifically: 1) In the scheme design stage, AI algorithms can perform deep learning on massive data and images, and learn from the experience of multiple excellent design cases, so as to quickly generate a number of more reasonable design schemes for designers to choose; 2) In the preliminary design stage, artificial intelligence can quickly optimize the layout of the floor plan through algorithms, save building area, optimize building streamlines, and reduce project costs; 3) In the construction drawing design stage, AI technology can improve the collaborative efficiency of all parties, BIM+AI technology helps the personnel in all links to collaborate and effective, and the communication between buildings, structures, water, electricity and HVAC is more convenient. Under the impact of AI, more efficient drawing can bring a significant increase in per capita income, reduce the number of basic drafters, reduce the cost of personnel salaries, and bring cost reduction and efficiency to the industry.
AI+Petroleum & Petrochemical
AI helps the oil and gas industry move towards intelligence. Thousands of surface and underground sensors in oil and gas fields will generate trillions of pieces of data, providing a steady stream of information to smart centers through IoT (Internet of Things). ChatGPT/GPT-4 can integrate a large amount of data generated from equipment sensors and monitoring systems in various fields of the oil and gas industry, develop and maintain databases and knowledge bases in various fields, intelligently manage internal databases, internal documents, industry standards, large-scale industrial software integration and best practices in various fields of the oil and gas industry, so that the entire traditional oil and gas industry has undergone revolutionary changes, so that all links and levels of the whole industry chain can achieve real-time visualization, human-machine friendly interaction and oilfield independent control and control, and enter The intelligent era of perceiving, self-perceiving, self-healing and self-decision-making between multiple industrial chains. AI empowers the intelligent upgrading of the petrochemical industry, improves data detection capabilities, operational efficiency of the oil and gas industry, and safety and environmental protection management, and helps the oil and gas industry move towards intelligence.
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AI+Steel
AI empowers the steel industry and promotes the digital transformation of steel companies. At present, the combination of AI and the steel industry is mainly manifested as a smart factory. Specifically, through the organic combination of AI and steel production equipment, improve enterprise efficiency and production quality while promoting the transformation of steel manufacturers to "intelligent".
AI+ environmental protection
AI provides smart solutions for the environmental protection industry and helps realize "green water and green mountains". At present, the combination of AI and environmental protection industry is mainly used in sanitation, environmental monitoring and water governance. 1) In terms of sanitation, the common sanitation equipment such as sanitation vehicles will be combined with AI, and the identification and analysis capabilities of AI will be used to realize the "unmanned" sanitation work. 2) In terms of environmental monitoring, real-time monitoring of environmental data through artificial intelligence data processing and analysis capabilities continuously reduces the level of pollutants and harmful substances. 3) In terms of AI+ water governance, the application of artificial intelligence technology to the operation of water plants is to manage and regulate water indicators on the one hand, and schedule water affairs according to user needs on the other hand, to provide convenience. With the help of AI technology, artificial intelligence can process environmental data more efficiently and comprehensively, and provide scientific predictions, helping the rapid development of the industry and ushering in blue water and blue sky.
AI+ Chemical
Artificial intelligence accelerates the transformation and upgrading of the chemical industry. On the one hand, through the organic integration of artificial intelligence and chemical equipment and chemical plants, the refinement, digitalization and intelligence of chemical production can be realized, which solves the difficulties of complex process, difficult control and high coupling degree in the production process of basic chemical industry, ensures the safety of the production process and improves production efficiency; On the other hand, large model training can find the optimal solution of parameters, reduce energy consumption through the correction of chemical equipment, optimization of chemical processes, orderly promote carbon verification and carbon emission reduction, and promote the "green development" of the industry.