HC Security Network News Cisco year released a controversial report, the report is expected in all of the things the project, 75% of the project will fail. Interestingly, however, at the beginning of the year, Alibaba's 12 different fields of scientists, in the prediction of how AI and other cutting-edge technologies will affect the world in 2018, agree that as the AI ​​technology matures, the IoT field will welcome Come to a real year of great fire.
The prophecy is not refuted, so it is not for the time being, but if it is purely from the perspective of IoT, the industry does show a bottleneck in development. After all, IoT has been mentioned since the last century, maybe 75% of Cisco Amazing data is not coming out of thin air. However, if you add AI, the situation is very different.
A natural pair: AI+IoT is far more than 1+1>2
The Internet of Things covers a wide range and will have a profound impact on human production and life. According to IDC estimates, the total expenditure of the global Internet of Things in 2017 was 800 billion US dollars, an increase of 16.7% over the same period last year. However, the early development of the Internet of Things has always had a "ideal fullness, realistic skinny." At the time of the Internet of Things fire, everyone connected the benches and even the curtains to the Internet, and connected for the connection. But what people ultimately need is service. It is useless to connect only. The practical application of solving specific scenes is the foundation of technology development. power. Take the curtain as an example. After the connection, it should be upgraded: the person can interact with the curtain; the curtain can sense the needs of the person, for example, it can be automatically turned off when it is too bright, and can be automatically turned on when it is too dark. In other words, a simple connection has no meaning, and it is important to connect a brain.
The acceleration and gradual maturity of AI technology has made IoT see new hopes. AI is the brain of IoT, which makes the simple connection of devices rise to intelligent connections, and the Internet of Everything evolves into the Wisdom of all things; IoT is the body that enables AI to have mobility. Just as human eyes, ears, nose and skin perceive the world around us, billions of sensors and cameras in IoT collect data from the surrounding environment and send it to the AI ​​for analysis and processing. These data are also important nutrients for AI's deep learning, helping AI become smarter and making decisions that are more sensible.
IoT brings more connected devices and data types than the traditional Internet. It can be said that the lack of AI IoT will become a "chicken rib", and the lack of IoT AI will become a "fool". Only when the two are combined is the future.
Relying on the “value-added†role of AI, IoT renewed the “second spring†and the concept of AIoT (AI+IoT) was born.
In February 2017, "Artificial Intelligence Chips Help, IoT will evolve into AI+IoT" mentioned that "trained AI systems are now able to surpass humans in specific areas, and the development of related software technologies is behind It is closely related to the advancement of dedicated chips. After the chip's support for artificial intelligence is more perfect, the Internet of Things will evolve into a smart network."
In November 2017, Teslink Technology, China's leading intelligent Internet of Things ecological platform, first proposed the concept of AIOT in its “Future Summit of Everything Intelligence and New Age AioTâ€. It believes that AIOT integrates AI technology and IoT technology through the Internet of Things. Collecting huge amounts of data stored in the cloud and at the edge, and then through big data analysis and higher forms of artificial intelligence, to achieve all things data, all things connected.
Foreign giants have also begun to actively deploy AIOT. Microsoft announced on April 4, 2018 that it plans to invest $5 billion in various projects related to the Internet of Things to provide intelligent services in the next four years. Earlier, Google also publicly announced plans to use the $50 million acquisition of the Internet of Things platform Xively, high-profile into the AI ​​+ IoT industry. AIoT has opened a new era.
The scene is Wang artificial intelligence to "application intelligence"
The reason why AIoT has become the focus is simply because, with the maturity of 5G and NB-IoT and IoTConnect connection protocols, IoT has experienced explosive growth in the number of connected terminals. According to Gartner's forecast, the number of connected objects in global use will reach 8.4 billion in 2017, an increase of 31% from 2016 and will increase to 20.4 billion by 2020. From the perspective of the big scenes of the city, the project of Xueliang and smart city has also accumulated a wide range of connection foundations for buildings, communities and cities for IoT. With IoT collection, AI technology can get rid of the "laboratory" feature more quickly and generate value quickly in actual scenarios. At the same time, AI can quickly accumulate fragmented industry knowledge through deep learning and algorithmic change, and this knowledge and Reconstruction of experience brings huge market value.
According to the latest data from IHSMarkit, China currently has 176 million surveillance cameras, and this data is expected to be refreshed to 626 million in three years, but it will also face new problems: if there are cases, massive images and videos The investigation work may become a "nightmare" for the staff. However, AioT technology can solve this problem, integrate AI face recognition technology, upload the collected data to the cloud comparison, and realize intelligent analysis and processing of data through AI algorithm. The system has a "brain" and human resources are liberated. Work efficiency has also been significantly improved. Therefore, in the current urban security field, the technology of AIOT and big data can be described as hot, and the intelligent upgrade of urban security system is also the main direction of the current stage. This is just the tip of the iceberg of the AIOT app.
In the era of AIOT, artificial intelligence began to shift toward "application intelligence." AIoT is considered to be the core technology for reconstructing business models and intelligent life in the era of all things. When AI meets IoT, including the consumer, financial, automotive, entertainment, high-end manufacturing, education, logistics, real estate, security and other industries, it will combine with the data and equipment intelligence accumulated by IoT, and finally form the industrial intelligent development.
All in AIoT, the starting gun has sounded
Time is back to November 28, 2017, the intelligent Internet of Things eco-platform Teslian Technology has opened a big-named “Intelligence·New Era AioT Future Summitâ€, which is aimed at future architecture and future cities, and then opens the industry of AIOT. In the era of the fall of the land, Xiaomi announced at the IoT Developer Conference that it was “together†with Baidu in order to jointly create IoT+AI products and technologies in the direction of intelligent hardware.
Since then, the industrialization of AIOT has also become the focus of the industry. If Xiaomi and Baidu cooperate to focus on the intelligent connection of “indoor†smart home, then the joint partner of the AoT ecological platform is to seek the landing and application of “outside†buildings and urban scenes. One breaks through the limitations of the user's intelligent hardware application scenario; a data island that opens up future buildings and cities, connects macro urban data and equips the city with a “brainâ€, all of which help open the application channel of the AIOT segmentation scene. It can be said that the same way.
It can be said that after 2017, AIOT is infiltrating into ToB (Business Business) and ToG (Government Government). The online data accumulated by the Internet has gradually opened up with offline, and AIOT has started to develop from “indoor†to “outsideâ€.
This trend is further supported by Alibaba. After four years of storage in the field of AIOT and cloud computing, Alibaba announced its full entry into the Internet of Things at the Yunqi Conference on March 28 this year. IoT is a new company after the E-commerce, finance, logistics and cloud computing of Alibaba Group. Main track. In the grand "business blueprint" built by Ali, IoT is like a ubiquitous neural network that connects and collects data and digitizes objects.
At present, the three characteristics of the AIOT market are worth noting:
Starting line advantage
Although BAT has laid out and accelerated the landing of AIOT applications, it does not mean that it has the first-mover advantage. Instead, some emerging technology companies have correctly cut the pulse and precision. Especially in the unicorn enterprises that have emerged in recent years, it is the early deployment and comprehensive acceleration of strategy, technology, products and solutions. Tess is one of them. Therefore, from this perspective, the giants do not have the absolute advantage of starting line, but will lag behind some innovative technology companies.
2. The market is huge and difficult to swallow
From the current point of view, the share of the AIOT industry is huge. In addition, there are many subdivisions in the application. The market will not be eaten by one or several companies. The key to whether the market can be seized is whether the technology application and commercial landing can be achieved. Is it really necessary to start from the market? Instead of targeting pseudo-demand. Compared with the consumer market, in the traditional field, AIOT has a broader “just-needed†market, including security, urban planning, medical health, industrial manufacturing, etc., which are closely linked to the government, developers and other institutions. The experiencers often have deep "moats", such as the special technology upgraded intelligent building and intelligent community upgrades, the United States and the main face recognition camera Hikvision. Although Baidu and Ali have expressed their desire to carry out the layout of many sub-segments such as cities, they can't eat a fat man, and there are many opportunities in the market.
3. Landing ability is the key
After the Internet of Things is installed on the brain, landing ability is the key. From the ideal fullness of IoT to the real bone problem, the current AioT era also tests the ability of all participants to fall, and the combination of theory and practice can truly benefit the people. Taking Teslink as an example, in the more than two years since its establishment, Teslink Technology has achieved more than 8,200 ground-based service smart projects in 70 cities across 30 provinces and regions, covering a total area of ​​nearly 700 million square meters. Shanghai, Guangzhou, Shenzhen and other places have successfully landed a large number of practical cases. Who can apply the product plan to help customers solve the actual problems in the scene, who is the real winner, can not land has become the "Achilles' heel" of many enterprises. This last mile seems to be close at hand, but it is one of the key factors to measure the depth of each moat.
If the IoT is likened to the high-speed train that connects the present and the future, AI is its core engine, and the continuous stream of big data is fueling it, but the train that can really make the train move is still a smooth, orbital wheel. The wheel is the ground, it carries all the technical ideals of the AIOT, and goes to the future on a down-to-earth basis.
Editor in charge: Zhang Zequn
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