Although AlphaGo and Master are more or less mixed with marketing components, artificial intelligence has successfully attracted the attention of the public. Especially after the third "Year of the Year" in 2016, it is difficult to count the products, services, and practitioners related to artificial intelligence, which was fully demonstrated during the just-concluded CES 2017.
The first CES exhibition, dating back to 1967, has witnessed many trend-setting electronic products for 50 years, and is therefore called the vane of consumer electronics. Then, from the 2016 small test knife to the 2017 show, CES almost completely smashed into the artificial intelligence show, does it mean that the artificial intelligence explosion point is approaching?
This year's CES show attracted more than 4,200 exhibitors, and there are as many as 1,314 technology companies in China alone. As a global technology event, CES is undoubtedly an indispensable camera for technology manufacturers, even from a marketing perspective, it is a good bargaining chip. Among these artificial intelligence exhibitors, they can be roughly divided into three categories, namely artificial intelligence systems, artificial intelligence products and artificial intelligence services.
The artificial intelligence operating system can be said to be a new face on CES. Since 2015, players including Google, Facebook, Microsoft, etc. have targeted artificial intelligence systems, but the definitions of artificial intelligence operating systems are still there. different. Just as Zuckerberg wants to create a class like Jarvis in Iron Man, Google's TensorFlow focuses on deep learning, and Microsoft's once smash hit is also evolving to the operating system. It is quite similar to the movie "She". At this year's CES, Baidu released an upgraded version of the secret, named after DuerOS, seems to be intended to make people understand "artificial intelligence operating system." At the same time, Ali's YunOS also landed at CES this year, and artificial intelligence is also a major highlight of its flagship. In addition, entrepreneurs including Turing Robots and Bamboo Smart Technology are also targeting this field.
Compared to the artificial intelligence operating system, the dazzling artificial intelligence products are the highlight of CES. It may be inspired by the trend of technology. A few years ago, the short-lived smart hardware cloaked with artificial intelligence appeared on CES again, such as smart mattresses, smart audio, etc., based on previous functions such as networking and mobile phone control. Machine learning, speech recognition, etc. become new description vocabulary. It is no exaggeration to say that the white goods that appeared at CES almost all embrace artificial intelligence, such as Samsung's Qsmart, Haier's Smart life, LG's SmartThinkQ, Changhong's Smart Service, TCL's AIxperience, Skyworth and Xiaomi. Smart Home concept. These phenomena are also the incentives for the media to conclude that artificial intelligence is about to erupt.
Of course, in addition to systems and products, there is an area that does not seem to have so much ambition, that is, artificial intelligence services. For example, Aipoly Vision, which was rated as an excellent product at CES this year, is designed to allow mobile phones to recognize thousands of objects at the same time, helping people with visual impairments to obtain surrounding information in real time. There is a saying that consumer electronics is shifting from products to services, which is evident in the actions of some Internet giants. Taking "Artificial Intelligence as a Service" as an example, Amazon introduced Amazon ML and Google's RankBrain search algorithm earlier. Similar products have appeared in China. NetEase Yidun has created an anti-spam cloud service by means of artificial intelligence algorithms. Alibaba Cloud's ET has been opened to cloud computing customers... These seemingly artificial intelligence services for the B-segment market have become AI-free. The invisible power of being absent.
It is not difficult to find that artificial intelligence has been mapped on CES and is changing some industries. Almost all small and famous technology companies and well-known universities have become the backbone of this trend. CES also reflects the fact that artificial intelligence is becoming a new cusp in the eyes of entrepreneurs. Choosing a face at CES may be beneficial to later financing and dissemination.
In fact, from the annual emerging technology maturity curve released by Gartner last year, such as machine learning, intelligent robots, and self-driving cars are still in the expectation of expansion. That is to say, whether artificial intelligence is going to prosper or it is a staged disillusionment is still uncertain. The excitement at CES once again proves the commercial success of artificial intelligence, and whether it is close to the explosion point needs further discussion.
Behind artificial intelligence, virtual reality and true and falseIn the recent two years of scientific and technological reports, science students such as deep learning, computer vision, speech recognition, and natural language processing have had headaches, and liberal arts students have seen the vocabulary of Sao's first widely reported. It seems that adding these nouns can highlight the lead of a product, and the lack of these modifications will be unremarkable. For the judgment of the opposites of artificial intelligence, such as false and real, true and false, we need to consider the following two issues.
First of all, the monopoly of artificial intelligence.This needs to be discussed in two ways, namely the monopoly of technology and the monopoly of data. Although the US technology giants are at the forefront of artificial intelligence, these technologies are not delivered to China and other competitive markets at this stage. Even in the domestic market, Ali, Baidu, NetEase, etc. have also launched artificial intelligence, such as Ali ET, Baidu brain, Netease, etc. These products or services are open to developers in the form of API, and cover face recognition. , machine translation, voice interaction, etc., after all, the output is only the result, not the process, the developer plays the user of the product and the contributor of the data. To some extent, the competition for artificial intelligence is only a game between giants.
The monopoly of the data is more severe. The so-called artificial intelligence technology is mostly based on algorithms, and the algorithm is designed by humans. As long as it can attract highly sophisticated artificial intelligence technical talents, the technical threshold is not unsolvable. The reality is that artificial intelligence self-learning is inseparable from massive data, and the Internet giants undoubtedly have innate advantages in terms of data, which is why many companies can come later. Of course, data problems can also be solved through purchase or industry cooperation, and the cost is directly determined by the competitiveness of the product. From this point of view, the largest market left to entrepreneurs in the field of artificial intelligence is still the end product.
Combined with the phenomenon on CES, there are no shortage of Internet giants in the artificial intelligence system, while product companies such as Samsung and Haier are loyal fans of artificial intelligence products, and artificial intelligence services have become a mixed market of entrepreneurs and giants. In the future, this monopoly will become more apparent.
Second, the paradox of technology and business.The commercialization of technology is understandable. Even the birth of technology is to create more wealth, and artificial intelligence is also facing the problem of profitability. When artificial intelligence reaches the critical point of the outbreak, whether it is a high-level company or an investor must think about how to realize it.
The survey results show that AI entrepreneurial projects with good earnings or promising prospects have three things in common, namely, the application of closed controllable scenarios, the specific work that assists humans to complete repetitiveness, and the achievable entry points. Perhaps only by satisfying these conditions can we really greet the profit period of making money, but there is no shortage of evangelists in these areas. For example, in the financial field, according to Li Kaifu’s statement, “algorithms can be turned into money immediatelyâ€, and a group of artificial intelligence practitioners are infiltrated. Intelligent investment, risk prediction, knowledge map, and intelligent customer service are all involved.
On the positive side, the commercialization of technology has greatly driven the application of artificial intelligence. From intelligent robots to unmanned driving to vertical vertical applications, the artificial intelligence products on CES are also relevant. The downside is that in the face recognition, speech recognition and other aspects, Ali, Baidu, Netease and other giants have 99% and 97% recognition accuracy, and the recognition accuracy of many entrepreneurial teams is still around 80%. It is not possible to rule out the possibility of quick success at the commercial level.
Moreover, the value of artificial intelligence is by no means a revolutionary subversion, but a gradual influence. In addition to the algorithm, there is also the entire ecosystem of hardware, services, content, etc. If the user experience is not optimized, the so-called artificial intelligence is likely to become the next smart bracelet.
In general, in the 60 years of evolution of artificial intelligence, each outbreak is the result of the rise of technology. Judging the critical point from the prosperity of the commercial level is inevitably limited. The rational growth path should be the outbreak of technology-driven business, not the commercial tampering technology.
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