The document discusses the development of AIoT (Artificial Intelligence of Things) and its role in building smart cities. It describes how AIoT integrates artificial intelligence and IoT technologies. The global AIoT market is growing rapidly and many countries and companies are developing strategies to apply AIoT. Building the AIoT ecosystem requires a focus on data, computing power, and algorithms. While large companies are applying AIoT, smaller AI companies are also entering the market by developing AIoT operating systems and intelligent hardware. The development of AIoT has significant potential to create an intelligent future.

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How to develop the AIOT ecology of all things?
Written By Calio Huang
In recent years, the construction of smart cities around the world has gradually entered a new
round of development, especially in China, where major cities are actively exploring smart cities
in the traditional sense and evolving into new smart cities.
In recent years, the construction of smart cities around the world has gradually entered a new
round of development, especially in China, with the deep integration of next-generation
information technology represented by artificial intelligence, cloud computing, and Internet of
Things and urban modernization. The city is actively exploring the evolution of smart cities in the
traditional sense to new smart cities.
In this process, AIoT came into being. As the best way to realize the intelligent upgrade of the
industry and give the city new “wisdom”, AIoT is accelerating innovation and development in all
fields of society and contributing to the economic growth.
AIoT sets off a revolution in wisdom and technology
From a broad definition, AIOT is the integration of artificial intelligence technology and Internet
of Things in practical applications. It is not a new technology, but a new IoT application form.
Specifically, deep learning resources need to be collected by IoT sensors, and IoT systems also
need to rely on artificial intelligence to correctly identify, discover anomalies, and predict the
future. In other words, the combination of artificial intelligence and the Internet of Things is a
major change in the future application of technology, which will bring subversive development to
the industry.
According to relevant survey reports, the global AIOT market will be US$5.1 billion in 2019. By

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2024, this figure will grow to US$16.2 billion, with a compound annual growth rate of 26.0%. The
global AIOT market is growing rapidly, and China has also launched a wave of exploration of AIOT
applications among various industries. Alibaba, Huawei, Tencent Xiaomi, and contempt have all
released their own AioT development strategies to accelerate domestic AIOT. The formation of
industry.
In addition, at the national policy level, the State Council issued the “New Generation Artificial
Intelligence Development Plan” in 2017, which will promote the development of artificial
intelligence to a national strategy; in the “Report on the Work of the State Council in 2019”, the
government also proposed “building an industrial Internet platform”. The expansion of "smart +",
this move is also seen as the opening of the country for the era of all things.
The use of AIOT in smart cities is actually helping to realize the transition from traditional smart
cities, that is, digital cities, to new smart cities. Digital cities are based on the massive popularity
of IoT devices. According to the latest research by Strategy Analytics, the number of IoT devices
in the world has reached 22 billion by the end of 2018 and will reach 38.6 billion units by 2025.
Networked devices enable the city's primary intelligence.
At the same time, in the process of using many IoT devices, huge unstructured data and
information island problems have arisen, which restricts the development of cities to more
advanced forms of intelligence. Artificial intelligence can overcome the challenges of IoT
applications with its powerful learning, analysis and decision-making capabilities.
Through the form of "AI+IoT", the IOT device is given more intelligent features, so that the real
thing is the Internet of Everything and the Wisdom of all things. AIoT is an inevitable trend in the
development of smart technology and a necessary medium for the upgrading of digital cities into
new smart cities.
Building the AIOT ecosystem, the three elements of AI are also the foundation
AIoT refers to the complementary fusion of AI and IoT, so in terms of composition, it basically
covers the core "essence" of the two technologies. As we all know, data, computing power, and
algorithms are the three elements of artificial intelligence, and the three elements are also the
three elements of AIOT.
In the future, IoT's core essence is data, and data is the cornerstone of AI. The ever-increasing IoT
device will eventually digitize all corners of the world. As a result, AI understands that all human
worlds must obtain data from every corner. AI+IoT will also use data as a link to become the next
phase of technological development.
In essence, AIOT is the algorithm's calculation of data, so the synergy between algorithm and
computing power is also the key to the development of AIOT.
In the past few years, machine learning algorithms have developed rapidly. From deep learning,
DNN, RNN, CNN, to GAN, new inventions have been created. While these algorithms promote the
development of artificial intelligence, they also bring a severe test to computing power. Building
an AI computing platform requires a lot of CPUs and GPUs. For example, AlphaGo, which is
popular all over the world, uses a TPU like a GPU-based algorithm chip, but its power
consumption efficiency is very high.
AlphaGo's computing power is equivalent to 12,000 common consumer-grade 1080TI, and it
costs more than 10 million. In addition, the computing power of ordinary computers is also very

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limited. It takes several weeks to several months to train a model. The use of high-speed
computing resources intensively and frequently is often difficult to estimate.
These costs are often unaffordable for SMEs. That is to say, under the current tight chip situation,
for enterprises, it takes a lot of money to purchase the required computing power to support the
development and output of hardware.
However, it is gratifying that the country has also increased its investment in computing
infrastructure in recent years. By 2019, there were seven national supercomputing centers
approved by the Ministry of Science and Technology, which were settled in Tianjin, Guangzhou,
Shenzhen, Changsha, Jinan, Wuxi, and Zhengzhou. With the establishment of these seven
super-computing centers, the advanced artificial intelligence super-calculation level has also
helped the enterprise AIOT application and the development of local smart cities.
Under the AIoT boom, the development of AI companies
At present, although BAT companies have laid out and accelerated the landing of AIOT
applications, this does not mean that they have a first-mover advantage on the AIOT track. On
AIoT Avenue, artificial intelligence companies that started with deep learning and algorithms
have precision cut into the AIOT market in terms of strategy, technology, products, and even
solutions. They have squeezed into the AioT battlefield and have a tendency to surpass the first
players.
In the areas of the urban brain, urban planning, medical health, industrial manufacturing, etc.
that promote the development of AIOT, more possibilities for artificial intelligence outside the
non-consumer market have been opened.
Taking the application of AIOT in smart cities as an example, some artificial intelligence
companies have assigned the awareness, control and optimization capabilities to IoT devices with
the development strategy of “building an IoT ecosystem that drives 10 billion smart devices”. To
realize the intelligent connection between the physical world and the digital world, and continue
to create intelligent solution solutions in the three major scenes of the urban brain, the supply
chain brain, and the personal device brain.
AIoT is the transition from everything to all things, and many artificial intelligence companies,
such as contempt for technology, are building the AIOT operating system around the core AI
technology capabilities. This will connect diversified IoT devices in different industries, create a
control platform with large-scale AI computing, simulation, and decision-making capabilities, and
provide customers with closed-loop business value with a combination of soft and hard solutions.
Different from Android and iOS on the mobile phone side, this kind of AIOT operating system
born under the craze of the times integrates the whole process of planning, simulation,
implementation and operation of a one-stop solution. The focus is on the rapid integration of
robots and logistics, manufacturing business. Wait, and the mobile phone is aimed at the
consumer sector.
In addition, this type of AIOT operating system has three characteristics: ecological connectivity,
collaborative intelligence, and digital hygiene. In terms of ecological connectivity, the operating
system is an open platform that not only connects the robots produced by the company itself,
but also connects all the equipment of the eco-partner; in terms of collaborative intelligence, the
operating system is in path planning, optimization, and load balancing. The job scheduling layer

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provides a large number of optimization algorithms to adapt to different business scenarios.
As far as digital hygiene is concerned, such AIOT operating systems have achieved the true
physical world and the digital world in perfect harmony, and through the design, simulation,
implementation, operation, integration into the same set of close business, and can be directly
applied to production operations. system. Unified modeling of the solution and algorithm,
systemic support of the whole link, the whole process is organic and integrated, thus achieving
the connection and intelligence of the painting.
Of course, in addition to building the AIOT operating system, the development of intelligent IoT
hardware devices is also a key component of implementing AIOT applications. Specifically, the
intelligent IoT hardware device embeds the smart technology in the IoT infrastructure and can
complete the crawling and analysis of the core data at the front end, which is to solve the pain
problem of the industry segmentation scene and help the user achieve the most stable intelligent
upgrade. One of the most efficient means.
Based on the above characteristics, many artificial intelligence companies have established a
series of industry-leading intelligent hardware products, including face recognition cameras and
face recognition gates, based on urban management, building parks, education, finance, retail,
and other industries. Wait, to create value for users to reduce costs and increase efficiency.
Conclusion: In summary, although AioT is still in the early stage of development, it has endless
application potential and will create a highly intelligent future world for us.
Nowadays, artificial intelligence, Internet of Things and cloud computing, as the core driving force
of the All-China Intelligence Alliance, still need to continuously expand investment and support at
the inter-industry and national policy levels to better promote the integration and development
of each other, and to form a perfect and high-quality The AioT construction system will expand
the AioT industry and provide a strong driving force for the development of smart cities and
smart economy.