In 2018, AI will affect the analysis of the five major industries

The discussion of artificial intelligence technology in the scientific and technological community seems to have developed to the point of heating up.

In the middle of last year, the "New Generation Artificial Intelligence Development Plan" issued by the State Council mentioned that "the power of the whole country. In 2030, we must seize the global commanding heights of artificial intelligence!"

According to PricewaterhouseCoopers (PwC) report, under the impetus of AI, China's GDP will increase by 7 trillion US dollars, an increase of 26.1%. In contrast, North American AI-driven GDP is expected to grow by 14.5%, equivalent to $3.7 trillion.

The income and increase in China's artificial intelligence creation from 201 to 2018 can be seen from the chart. Since 2015, the overall increase has been maintained at more than 35%.

Artificial intelligence is undoubtedly changing the future of human life and industry. The invention of AI technology such as facial recognition has already made many industries feel the arrival of AI. In 2018, what industry will change in AI?

In 2018, AI will affect the analysis of the five major industries

First, self-driving. According to a survey conducted by Rakuten AIP (Asian Online Market Research Data Agency) for Chinese netizens in August, 98% of respondents have a certain understanding of autonomous vehicles. Our city is built around the concept of autonomous driving.

Baidu plans to launch Apollo's open source autopilot platform for its automakers, which are expected to bring autonomous vehicles to market by 2020. The taxi giant also bet on autopilot technology to reduce serious traffic congestion. According to media reports, Tencent is also developing its own automatic driving system.

Second, retail and e-commerce. The advantages of using AI in the retail industry are undoubted: to enhance the personalization of products and services, to make demand forecasts, to manage supply chains, and so on. Alibaba's “FashionAI Fashion Brain” can identify millions of pieces of clothing and then match this information with the tastes of designers and consumers on the e-commerce website to provide real-time fashion advice to brick-and-mortar consumers.

In 2018, AI will affect the analysis of the five major industries

Third, translation services. AI's strong entry into the translation industry has become an indisputable fact. From Google's neuro-machine translation system, the translation industry giants have introduced the language wing AI+ human translation platform, and Baidu teamed up with Ctrip to launch translation machines, all try to shave in different dimensions. The tedious manual intervention makes the translation usability more powerful.

In 2018, AI will affect the analysis of the five major industries

Fourth, financial business. AI will enhance personalization, process automation, and improve the security of financial industries such as banking and insurance, such as identity authentication. For example, Baidu and CITIC Bank’s online banking joint venture “Baixin Bank” plans to use AI to improve risk management. In another tax and financial service platform, “You You Net” uses AI for data entry, which automates financial accounting. The "fourth paradigm" of machine learning tools is working with insurance companies to help them sort out fraudulent claims.

In 2018, AI will affect the analysis of the five major industries

Fifth, health care. As the population ages and the national health care plan faces difficulties, the healthcare industry will find new outlets in the AI ​​field: computer-aided medical diagnosis, medical imaging, patient health monitoring and personalized treatment. Shenzhen-based Carbon Cloud Intelligence is developing a smart mirror for three-dimensional scanning of patients to help track their health. The industry-leading AI company, Science and Technology, plans to launch AI robots to work with human doctors. The University of Science and Technology announced that the robot will be able to automatically capture patient information and conduct a preliminary diagnosis.

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