9 Trends Of Artificial Intelligences In 2018, Pursuit Or Wait?

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The artificial intelligence is in the concept of speculation in 2016, and in 2017, the artificial intelligence officially began to appear in the mainstream, to turn application level products. Thus in 2018, AI will enter the application period of the outbreak, and a large number of real intelligence applications will emerge.



Trend one: Strong is strong. Science and technology tycoon makes profit first.


Big companies like Google, Facebook and IBM will lead the trend in the field of artificial intelligence. As a big company, they have more resources to collect data, so there is more data to be used. As far as China is concerned, big companies such as BAT will also be the first to profit.




Trend two: Algorithms and techniques will be integrated.


All second echelons of AI, such as Intel, Salesforce, Twitter, and so on, will follow large companies with data and use their data, algorithms and AI. Data transactions will be carried out in the industry, and the algorithms and technologies are most likely to be integrated. The integration of data transactions and algorithms and technologies will make the AI more efficient.


Trend three: Chinese enterprises will achieve breakthroughs in the AI scene application field.


It is predicted that in 2018, scenario driven and event driven business models are likely to achieve breakthroughs. Compared with the existing instruction driven mode, the business mode is more active. Taking the takeaway industry as an example, the restaurant ordering according to the order may become a multi information analysis based on the tastes, mood and weather of the diners, so as to suggest "what should you eat today?"


Chinese enterprises may achieve faster breakthroughs in the field of scenario applications and business models, and are expected to continue to lead the world in both quantity and innovation.


Trend four: there will be more and more mergers and acquisitions.


According to the statistics of CB Insights, the arms race of AI acquisition has begun. In 2018, it will become more intense. We will witness more intellectual capital and talent acquisition. Machine learning and AI small companies will be acquired by large companies for two reasons.


AI can not work independently without a dataset. And big companies have a large number of data sets, and small companies are so competitive.


An algorithm without data is useless, and vice versa. Data is the core of the algorithm, so the gain of a large number of data is the weight.




Trend five: The regulatory environment for AI will move forward.


With governments in the UK, the US and the European Union trying to understand the core values and risks of AI technology, industry participants will start to focus on how to self-regulate the application of AI technology in enterprises.


This self-discipline will eventually solve the problem of corporate and public concern about data privacy and protection. Accountability is still a central issue. The voice of the industry to regulate how to use data, especially consumer information, to create and notify AI applications will increase in 2018.


Trend six: AI will be used to deal with complex network security threats.


At present, the ability of the network security industry to protect the fragile technology is stronger than the ability of hackers. In response to this trend, it is expected that in 2018, Google, Facebook and Amazon and other technology industry leaders will seek more opportunities with the Massachusetts Institute of Technology, New York University and other leading technology companies and academic researchers, research driven security solutions AI.


In fact, these partnerships will help build a cross-network and platform-deployed anti hacker AI system to monitor and prevent hacker behavior.




Trend seven: Human-computer interaction will be the top priority.


The robot based voice interaction scheme will be the lowest threshold for AI. For example, a machine can be programmed to analyze speech and face recognition, and can identify emotions based on the intonation of the speech. In 2018, there would be more human-computer interaction in the field of agriculture and medicine.


Trend eight: In vertical areas, AI applications have great potential.


In the vertical fields of retail, transportation, manufacturing, finance, medical and agricultural industries, artificial intelligence has great potential for application. It will be the main factor in determining the market share to provide more humanized service for consumers. Among them, Natural Language Processing (NLP) is particularly critical. With the development of Natural Language Processing technology, the field of AI services will expand greatly, so as to stimulate the development of the consumer market.

Last update: Dec 21, 2017

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