On August 8, the first "Zhiwu·AIoT Industry Leaders Summit" hosted by the Internet of Things Think Tank was officially held in Beijing. This summit brought together nearly a thousand AIoT practitioners and dozens of well-known industry experts, scholars, and celebrities. It invited industry experts such as Wu Hequan, academician of the Chinese Academy of Engineering, Yu Xiaohui, vice president of the China Academy of Information and Communications Technology, and domestic experts such as Alibaba, Huawei, and Xinhua III. Internet of Things platform giants, communications companies such as AsiaInfo Group and China Mobile IoT. In addition, at the meeting, the Internet of Things Think Tank launched a new sub-brand - "Zhiwu" and established the "Zhiwu·AIoT Industry Research Institute".
This summit is based on the future, with AIOT as the protagonist, reviewing the achievements and current situation of AIoT, and exploring the future empowerment potential of AIoT. As a hot word at the beginning of 2019, AIoT has attracted much attention. However, the Internet of Things still has many problems such as high development costs and the lack of a virtuous cycle business model. Experts, scholars, and industry practitioners at this summit will discuss the current status of the Internet of Things, solution paths, and model exploration.
Since the concept of the Internet of Things was proposed in 1999, it was not until 2016 that the Internet of Things ushered in an explosion. According to statistics from relevant organizations, the number of connected devices worldwide increased by 31% in 2016, which means that the amount of data generated in IoT devices will grow exponentially. With the promotion of emerging technologies such as 5G, cloud computing, and artificial intelligence, the concept of "intelligent Internet" has emerged. As we all know, the Internet of Intelligence will drive the digital upgrade of traditional industries, but the Internet of Things has not yet fully emerged. How long will we have to wait for the Internet of Intelligence?
Wu Hequan, Academician of the Chinese Academy of Engineering
2019 is a critical year for the implementation of the Internet of Things in various industrial fields, and the call for the Internet of Things is getting louder and louder. However, there are still many obstacles to the implementation of intelligent Internet applications. Wu Hequan expressed his views on this issue: "The future development of AIoT still needs to be promoted by standardization, cooperation between enterprises to improve compatibility, threat intelligence sharing, and enhanced security capabilities."
There is a long road ahead for the development of the Internet of Intelligence, and the development of 5G will promote the development of the Internet of Things. Wu Hequan pointed out: "The enhanced mobile bandwidth, high reliability, low latency and wide coverage of 5G are combined with edge computing to integrate AI and physical networks." In the development process of the Internet of Intelligence, 5G networks can add eMTC and mmC The narrowband IoT standard enables large enterprises to use dedicated IoT carried on public communication networks.
The development of enterprise-specific physical networks has made edge computing one of the hottest technologies today. Wu Hequan said in his speech: “In order to adapt to the low-latency requirements of industrial sensors, video services, VR/AR, Internet of Vehicles, and telemedicine, the storage and content distribution of these services need to be moved to edge computing for processing. Utilize Edge computing can filter and compress data, saving core network resources, and the cost is only 39% of using cloud computing alone." 5G, the Internet of Things, and the Internet of Intelligence are all inseparable from edge computing, which shows that the edge is inseparable. The computing market has broad prospects. According to IDC predictions, more than 50% of data will be processed on the edge in the future, and edge computing expenditures will account for 18% of total IoT infrastructure expenditures by 2020. Edge computing has undoubtedly become the new favorite in the era of physical networks. However, this year, the topic of the Internet of Intelligence has become increasingly popular, but the development of the Internet of Things and the Internet of Intelligence has not been as expected. Why?
As 5G enters its first year of commercial use, AI has made great progress. The Internet of Things is ushering in a "new turning point" in its development after several years of accumulation, and is gradually developing in the direction of AIOT. AI can help the Internet of Things increase its value, but it is still difficult for the Internet of Things to enter the new era of the Internet of Intelligence. Wang Qiang, general manager of Huawei's IoT platform, said: "Currently, infrastructure suppliers and industry leaders facing AIoT-ICT are facing three major challenges, namely, connectivity challenges, industry digitalization challenges, and AI challenges."
Wang Qiang, General Manager of Huawei's IoT Platform
In order to solve the three major challenges, Huawei has taken a step-by-step approach and leveraged its three major technological advantages of 5G, IoT, and AI to drive digital transformation in the industry and ultimately form a closed business loop.
Wang Qiang said in his speech: "The 5G network can achieve high concurrency in data collection uplink, high reliability, and low latency control downlink; the Internet of Things, as a bridge between the physical world and the digital world, can connect multi-dimensional data in the industry; ultimately, through artificial intelligence, it can deeply All walks of life are forming a closed loop of business value. ”
To find a solution, the next step is to expand the connection and enable a safe and trustworthy Internet of Everything. According to Gartner's prediction, the Internet of Things will enter a period of application explosion in the next 5-10 years, and edge computing will further penetrate into various types of customized hardware. Relying on its advantages in smart chips, edge computing, and cloud services, Huawei is committed to creating full-stack, full-scenario IoT services.
In his speech, Wang Qiang listed Huawei's situation in smart transportation: "To combine transportation with the Internet of Things and create smart transportation is to reduce accidents and reduce congestion. In the highway scene Among them, Huawei can provide early warning for 10 major accident scenarios; in urban traffic scenarios, it can achieve 18 scenarios and reduce waiting time at intersections by 17.7%. ”
Huawei lives up to its word. Currently, Huawei’s AIoT strategy It has been explored in 20 projects in 8 major industries including cities, parks, transportation, Internet of Vehicles, logistics, and electricity, and combined AIoT with industry wisdom in three major scenarios (mass duplication, expert experience, and multi-domain collaboration) , to achieve efficiency improvement, professional inheritance and breakthrough limits, and is committed to being a new engine for intelligent upgrading of the industry, helping Vanke, DHL, Yancheng Expressway, Shenzhen Traffic Police, PSA, Dongfeng, State Grid and other enterprises to develop and implement AIoT applications.
The Internet of Intelligence can promote the interconnection of intelligent systems and will inevitably promote the rapid rise of industry applications and technology industrialization. Among many industries, everyone is optimistic about the manufacturing sector. Ding Xianfeng, chief scientist of Alibaba Cloud Intelligent Internet, asked this question before his keynote speech on "Internet of Intelligence drives digital transformation": "Do you believe that the business model of the Industrial Internet of Things can create trillion-level enterprises in the future?" It can be seen that finding a business model suitable for the Industrial Internet of Things has become the top priority.
Ding Xianfeng, Chief Scientist of Alibaba Cloud Intelligent Internet
Today, our country is in the process of transforming from a "manufacturing power" to a "manufacturing power", and from "Made in China" to "Created in China" critical period. However, my country's manufacturing industry has problems such as low level of high-end equipment, slow development of industrial software and insufficient innovation power. For manufacturing companies, they are also facing the bottleneck of rising production costs and inefficient supply chain collaboration. Ding Xianfeng said: "Based on this background, there is an urgent need to accelerate the digitalization process, promote the implementation of intelligent manufacturing, and comprehensively optimize the manufacturing industry."
Finding the right implementation scenario is what every new technology must go through. process, where is the best implementation scenario for the Internet of Intelligence? Tian Suning, Chairman of AsiaInfo Group, believes: "The Internet of Intelligence will inspire the emergence of new scenarios. As we yearn for the new world of interconnection of everything brought by 5G, it is most important to continue to explore business models."
Director of AsiaInfo Group Nagata Suning
Where is the path to breakthrough for the Internet of Things? Solving traditional industries has become the best way out. Wu Jun, founder and CEO of Radium Scenario Laboratory, is committed to becoming the definer and practitioner of IoT scenarios. In his speech, he mentioned an interesting scenario: "80 million piglets die within 72 hours of birth in China every year. Among them, the death of sows due to accidental pressure is one of the main reasons. Manual rescue measures will become more and more expensive. The access of the Internet of Things is expected to solve the problem of 80 million piglets. ”
The advent of the 5G era is undoubtedly. Pushing the Internet of Things to a climax. Data released by market research institutions show that the global AIOT market size was US$5.1 billion in 2019. By 2024, this number will grow to US$16.2 billion, with a compound annual growth rate of 26%. Facing many challenges in the development of the Internet of Intelligence, promoting the integration of data and management will be the key to facing the challenges. In the future, as various technologies continue to iteratively upgrade and business models take shape, the new era of AIOT will not be far away.