Recently, AI technology represented by deep learning has made breakthrough progress so that AI application appearance.
Since the Dartmouth Conference proposed AI in 1956, AI research has experienced several ups and downs. Alternating between highs and lows, it is undeniable that AI has made great progress in both theory and practice.
In particular, recent breakthroughs have been made in AI technology represented by deep learning, and tremendous progress has been made in computer vision, machine learning, natural language processing, and robotics, which have profoundly changed our lives.
The following are 10 application areas of AI.
AI Application 1. Smart Security
According to the “Report on In-depth Market Research and Investment Strategy Recommendations for the Intelligent Security Industry for 2019-2023”, the domestic security market is growing rapidly, from 324 billion yuan in 2012 to 660 billion yuan in 2018, with an average annual compound growth rate of 12.6%.
However, smart security has become the development trend of China’s security industry, and its proportion will gradually increase in the future. It is estimated that by 2020, the scale of China’s smart security market will reach more than 100 billion yuan, and the development prospects of the industry are expected.
The complete intelligent security system mainly includes three parts, access control, alarm, and monitoring. Common smart security products mainly include smart locks, gas sensors, smoke sensors, etc. With the continuous advancement of security technology, electronic technology, and artificial intelligence technology, China’s smart security(antenna) products are becoming more and more diverse.
The Chinese government is vigorously promoting the construction of smart cities and safe cities. The number of surveillance has grown rapidly, and the explosive growth of surveillance video capacity has brought huge challenges to the storage market. Through intelligent security detection, abnormal situation identification, and storage of key information extraction, the storage requirements of surveillance video can be greatly reduced, which is beneficial to the healthy development of the industry.
With the continuous advancement of smart security industry technology, the cost of smart products is also decreasing, and the safety awareness of Chinese residents increases, the demand for China’s smart security market is growing rapidly, and civilian smart security products will become an important development direction for the smart security industry one.
AI Application 2. Intelligent industry
According to Accenture’s calculations, by 2035, the application of artificial intelligence technology will increase the gross value of manufacturing (GVA) by nearly US$4 trillion, an annual growth rate of 4.4%. China is the largest manufacturing country. The added value of manufacturing reached 26.5 trillion yuan in 2018, accounting for 29.4% of the total GDP.
In the “New Generation Artificial Intelligence Development Plan”, it was proposed that by 2030, China will become the world’s major artificial intelligence innovation center. The artificial intelligence market has a huge prospect. It is estimated that the total value of the artificial intelligence application market will reach 127 billion US dollars by 2025.
However, it is worth noting that although artificial intelligence technology has just crossed the peak of the curve and is in the frenzy, there are relatively few scenarios where the manufacturing industry is really applied and has very high benefits. In addition to the length and complexity of the manufacturing business chain, the insufficient storage of AI technology is also one of the reasons why the integration of artificial intelligence and manufacturing has stalled.
AI Application 3. Smart medical
Under the conditions of information networks, the popularization of various intelligent terminals and the application of sensors have produced a large amount of data, which provides a steady stream of nutrients for the application of artificial intelligence medicine. It not only brings a new technological revolution to the medical field itself but also has the power to promote changes in the medical service model. Artificial intelligence has unusual applications in health management links such as operations, prevention, inspection, diagnosis, treatment, and rehabilitation, as well as drug research and development, and medical device production.
In terms of hospital operations, artificial intelligence can be used to detect waste, fraud, and abuse in medical expenditures, calculate the rate of appointment of patients to the hospital, rationally arrange medical staff, monitor bed utilization, track the status of drugs and medical equipment, etc., and make decisions for the hospital Provide more decision-making information.
Although artificial intelligence has been applied to many scenarios and the technology is still mature, the construction of artificial intelligence is still at the starting point in the fields of medical treatment and epidemic prevention.
But it’s not to say that AI medical care has not yet landed. According to statistics, there are currently more than 100 start-ups around the world exploring the use of AI to discover drugs. Traditional large pharmaceutical companies prefer to adopt a cooperative approach, such as AstraZeneca and Berg, Johnson & Johnson and Benevolent AI, Merck and Atomwise, Sanofi and GlaxoSmithKline and Exscientia, Pfizer and IBM Watson, etc.
However, experts believe that the application of AI in new drug research and development and the implementation of medical AI face the same problems, such as shortage of talent, data standardization, and sharing mechanisms, and business model innovation.
AI Application 4. AI robot
With the development of the AI industry, almost every Internet giant has hatched its own robots(antennas) and put them into actual combat applications to interact with users in all directions. Voice assistants developed by companies such as Amazon, Google, Microsoft, Apple, Baidu, Ali, Xiaomi, including products such as Alexa, Google Assistant, Xiaoice, Siri, Xiaodu, and Xiaomi, are becoming our important personal assistants.
According to data from iiMedia Research, global robot shipments are increasing year by year, and global robot shipments are expected to reach 13.2 million in 2020. However, it is worth noting that the current AI technology is still at a weak AI stage and does not have the ability to reason independently, which is far from market expectations.
In 2020, due to the impact of the new crown pneumonia, AI robots have undergone rapid development, and in this development, targeted robots have become the focus of development. But it is undeniable that once the new crown pneumonia is fully controlled, such robots will usually have an oversupply status, and how to develop in the future requires companies to make corresponding arrangements in advance.
AI Application 5. Smart customer service
Due to the difficulty of recruiting customer service personnel, high training costs, high mobility, and difficult management, customer service robots can work 24 hours a day, and they can continuously learn through real-time data feedback. Enterprises have enough motivation to replace part of manual customer service with customer service robots.
According to media reports, China has about 5 million full-time customer service staff. Based on an average annual salary of 60,000, plus hardware equipment and infrastructure, the overall scale is about 400 billion yuan. According to the replacement ratio of 40-50%, and excluding infrastructures such as venues, equipment, and Party A’s budget reduction, there will probably be 20-30 billion left for smart customer service companies.
However, it is worth noting that due to the extremely high cost of AI technical talents, it is undoubtedly a gamble for customer service companies whose income and profitability are not ideal to invest heavily in building an AI team. The bet is on the future, and the danger is now.
Under the circumstances of the overall macroeconomic downturn and market capital shortage, doing so will undoubtedly increase business risks. Coupled with fierce market competition, it is difficult for AI products to quickly obtain high returns in the short term.
The greater technical investment of customer service robot companies, coupled with the high capital and talent investment barriers of AI technology itself, makes it difficult for startups to compete with giants. In the future, they may encounter the impact of giant technology open-source or platformization.
AI Application 6. Smart home
How to combine artificial intelligence with a smart home? The actual smart home(antenna) does not need too deep an artificial intelligence system, just shallow artificial intelligence. “
Smart homes now have obvious artificial intelligence characteristics, which mainly reflect language interaction. Traditional mouse operations and touch screen operations have gradually evolved to voice interaction, which is a more natural interaction method. The future value of voice interaction lies in user data mining. As well as the connection of the content and services behind it, the era of the Internet of Things with a voice as the entrance will produce new business models.
The novelty of this model is actually temporary. If you really want to improve the intelligence of the entire home, then emotion recognition and gesture recognition must also be improved along with it. At present, smart home is still in the transitional stage from mobile phone control to multi-control combination. Mobile APP is still the main control method of smart homes, but with the continuous development of artificial intelligence technology, more operation methods will be developed.
AI Application 7. Smart marketing
In the complicated market environment, the marketing of SMEs is in trouble. With the in-depth application of artificial intelligence (AI) in the marketing field, an unprecedented upsurge has been set off, changing the marketing methods of every industry. Artificial intelligence marketing software has been valued by enterprises.
According to the relevant data of iResearch, the industry share of artificial intelligence in marketing in 2019 accounted for 11.6% of the artificial intelligence-enabled real economy. The forward-looking analysis shows that the vitality of private enterprises will gradually appear. The coming development trend, artificial intelligence in marketing Development will become a popular trend.
The application advantage of artificial intelligence in marketing lies in its inherent ability to analyze data on a scale and in real-time from a wide range of customer, behavior, business, and channel sources.
AI Application 8. Autonomous driving
Since 2016, the China Association of Automotive Engineers has officially released the “Energy-saving and New Energy Vehicle Technology Roadmap” technical standards in the field of autonomous driving.
The roadmap sets out the goals that need to be achieved in the three five-year stages of the future development of autonomous vehicles in my country, and 2020 is the initial and critical period-the scale of the automotive industry needs to reach 30 million, and the driving assistance or part of the autonomous vehicle market share will reach 50%. In 2025, the market share of highly autonomous vehicles needs to reach about 15%; by 2030, China will strive to have 38 million fully autonomous vehicles, with a market share of close to 10%.
In December 2018, the “Internet of Vehicles (Intelligent Connected Vehicles) Industry Development Action Plan” issued by the Ministry of Industry and Information Technology required that the penetration rate of IoV users should reach more than 30%, and the installation rate of new car driver assistance systems (L2) should reach more than 30%. The new car assembly rate of networked vehicle information service terminals has reached more than 60%. In addition, it also mentioned a higher goal that by 2020, intelligent networked vehicles with high-level autonomous driving functions will achieve scale applications in specific scenarios.”
According to the analysis report on market operation risks and competitive strategy recommendations in China’s driverless industry from 2020 to 2026, with the continuous development of automotive intelligence, as of 2018, the scale of China’s smart driving market has grown to 89.3 billion yuan, a year-on-year increase of 31%. The market penetration rate reached 47%. According to preliminary estimates, the scale of China’s smart driving market will exceed 100 billion in 2019, and the compound annual growth rate in the next four years (2020-2023) will be about 20.62%.
The penetration rate of smart driving passenger cars will also rise from 20% in 2016 to 61% in 2020, the level of smart driving systems will increase, and the proportion of cars with higher levels of smart driving will also increase significantly. It is predicted that by 2035, there will be 18 million cars in the world with partial driverless functions, and 12 million cars will become fully driverless cars. China may become the largest market.
AI Application 9. AI data service
From the barbaric growth period in 2010 to the current standardized development stage of China’s AI data service industry, with the escalation of demand, professional AI data service companies with harder technology and extremely high efficiency will become the mainstream trend.
According to the “New Generation Artificial Intelligence Development Plan” issued by the State Council, the overall artificial intelligence technology and application will be synchronized with the world’s advanced level by 2020, the core industry scale will exceed 150 billion yuan, and the artificial intelligence core industry scale will exceed 400 billion yuan by 2025. By 2030, the theory, technology, and application of artificial intelligence will generally reach the world’s leading level, and the core industry scale will exceed 1 trillion yuan.
With the further promotion of policies and the maturity of technological progress, the speed of the artificial intelligence industry will be significantly accelerated, and China’s AI data service industry will also usher in a huge wave of development.
AI Application 10. Image search
Image search is an information retrieval application that has been increasingly demanded by users in recent years. It is divided into two types of search methods: text-based and content-based.
Traditional image search only recognizes the color, texture, and other elements of the image itself. Image search based on deep learning also accounts for semantic features such as the face, posture, geographic location, and characters, and performs multi-dimensional analysis and matching on massive data.
The application and development of this technology are not only to meet the current needs of users using image matching search to find the same or similar objects smoothly but also to analyze the needs and behaviors of users, such as searching for the same paragraph, comparing similar objects, etc., To ensure that the company’s product iteration and service upgrades are more focused in the follow-up work.
From the steam age and the electrical age to the current Internet of Everything era represented by the Internet, every technological innovation has promoted the development of the world economy. The emergence of artificial intelligence will help promote a new wave of innovation and give birth to new business models and economic growth points. let us wait and see.
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