Today, many entrepreneurs reflect that industry is not good, and doing business is not as good as building a house. A few months ago, it was reported that a listed company sold two houses in Beijing without being ST. I have been working on the Internet for nearly two decades. I am not good at interpreting policies, so I can only look at the development of industry from the perspective of the Internet.
The Internet has changed the life of the whole society and each of us. Where are the Internet trends and trends in the next five years? At the same time, when a lot of the Internet is talking about the trend and trend, what is the relationship between this trend and the trend and our traditional industry and manufacturing?
Without big data, artificial intelligence is a castle in the air.
A while ago, there were several entrepreneurs from traditional industries who talked to me. They told me that I felt confused recently and felt that the Internet was a big flicker. Because some people say that now from the IT era into the DT era, that is, the era of big data, there are people who say that the mobile Internet era is over, and entered the era of artificial intelligence. And you Zhou Hongyi speaks about everything, IOT, and the Internet of Things. Who are you right?
I want to explain, it should be said that everyone is right, not comprehensive enough, just like the blind people feel like, when you predict the direction of the Internet, you will see one aspect that you are good at.
The era of DT and the era of artificial intelligence that we are talking about are also the era of the Internet of Everything. In fact, it is a trinity.
Artificial intelligence is very hot now, but in fact, the breakthrough of artificial intelligence in algorithms is not particularly large, and the real breakthrough is actually derived from big data.
In other words, every company is thinking about how to use artificial intelligence technology to help companies transform and help companies improve customer service levels and capabilities. However, I want to say that without big data, artificial intelligence is a castle in the air. Artificial intelligence can't be as omnipotent as a Transformer or Terminator in a science fiction movie, including whether the discussion of the machine now generates consciousness, dominates humans, and has no big data. These are empty words, so the basis of artificial intelligence is big data. .
The blue ocean of the future: the value of big data in traditional industries needs to be explored
In the past two years, everyone was talking about "Internet +". Everyone saw the hot words such as O2O, big data, and cloud computing. They were very excited. Everyone rushed into the Internet, trying to learn Ma Yun and Ma Huateng. They all wanted to do the Internet, and finally found the transformation. It turned into a turn, but in the end it will be found that the genes are wrong.
Everyone needs to know that entrepreneurs in traditional industries can't do a Taobao or a WeChat. The reason why Ali and Tencent can talk about big data today is because they used to connect users through e-commerce or WeChat in the Internet era. , provided Internet services for hundreds of millions of users, and got the data.
So now big data, entrepreneurs in traditional industries should think about how to mine big data in your industry. Nowadays, many algorithms of artificial intelligence are open and open source, so it is possible for traditional products to be based on big data, through deep learning, through machine learning to connect artificial intelligence technology with their own industry.
I think that for many traditional industries, there will be a huge opportunity to help people get big data in the next five years, and to effectively use it, IOT, or the Internet of Things.
When it comes to the Internet of Things, when it comes to IOT, people think of wearable devices, such as GoPro's sports camera and Fitbit's bracelet. But there is another side of the Internet of Things, we can call it the Industrial Internet, or the Industrial Internet. The British "Economist" magazine published an article in July 2016 entitled "Great Fusion", pointing out that China is undergoing IOT in manufacturing industry. For example, GE has built a “digital chemical field†in Shanghai to help its customers connect the manufacturing equipment to the Internet, between equipment and equipment, between equipment and goods, between goods and goods, and between goods and people. Can communicate together.
GE itself is an example of IoT and big data applications. For example, the MH370 lost two years ago is a Boeing 777. This model uses two engines, one is the engine of Ross Royce. This is GE's engine. The two companies also used big data analytics in the manufacture and maintenance of aircraft engines. As early as 2006, Ross Royce monitored and analyzed the data of more than 3,000 engines in real time via satellite. Through the continuous improvement of the algorithm, Rolls-Royce can now even predict the technical problems that may arise through data analysis. GE used data analysis earlier. Since 2000, GE has begun to provide civil aviation customers with a solution called Remote Diagnostics. When these passenger planes fly over 10,000 meters, real-time operational data such as engine exhaust temperature will be recorded by sensors and transmitted back to the ground via satellite. GE engineers will judge whether their operating status is normal and promptly remind airlines of possible occurrences. The fault is diagnosed and repaired.
There are also cases in the country that take advantage of the Internet of Things. The domestic Sany Heavy Industry and Xugong Group have also done relatively advanced in the application of Internet of Things. Take Xugong Group as an example. Now, in the machinery and equipment of Xugong Group, our common excavators and cranes have built-in sensors and black boxes, which can collect various data. With these data, XCMG can diagnose equipment failures. Analysis, remote upgrade, and even based on real-time data of equipment production operations, such as wind bias, water temperature, hydraulic oil level and other data for operational risk warning.
When I was in Wudaokou, I had two classmates who were doing very traditional projects to help companies ensure the normal operation of transmission and transmission equipment in similar coal mines and industrial projects. These conveyors are usually made up of gearboxes, gear sets, and gearboxes. Once these conveyors are shut down, the factory may face downtime.
In the past, the traditional practice was to ask experienced masters to infer and overhaul. But the two students used the idea of ​​the Internet of Things to do this. They put some sensors on the conveyor and then transmit parameters such as pressure, temperature, noise or humidity to the cloud in real time.
In this way, they got the big data in this industry. Through the analysis of these data, they know what kind of data is normal for each conveyor belt and conveyor, and what kind of data is abnormal. So they can give early warning to the customer's manufacturer, for example, which thing may be broken, and they provide repair and integration services.
I think this example is a typical IoT application that uses sensors and cloud big data and then uses technical algorithms to analyze the data. Compared with the original looking for an experienced master to overhaul, there is a change. Therefore, if traditional industrial enterprises can learn this way, or find a suitable way to accumulate big data in their industry, it is possible to further use artificial intelligence.
I think the next so-called slogan is good, and the opportunity is good. The Internet of Things can transform the entire industrial Internet or the industrial Internet into another truly huge blue ocean market for traditional industries. Compared with the Internet we consume today, it will be a completely different market. This is also a huge opportunity for many industries, especially the transformation and upgrading of China's manufacturing industry.
Potential Cybersecurity Issues: Internet of Things Opens Network Virtual World and Real Real World Channel
For the traditional industry, the Internet of Things brings upgrade and transformation opportunities to China's manufacturing industry, and we cannot ignore the cyber security challenges it brings.
When our business and even social infrastructure begin to use the Internet of Things to collect all kinds of big data, the security of big data becomes very important. If the data is leaked, it will definitely cause an incalculable loss. If it is invaded, criminals will not steal data, and tampering with the data will have serious consequences. Because the Internet of Things is connecting the virtual network world with the real world, the security of the network world has a great impact on the real world.
For example, previous cyber attacks were confined to computers and mobile phones. After that, unmanned vehicles were popularized. Once these connected cars were hacked and controlled, such as quickly rushing to dense crowds, this would create huge social security problems. The networking of medical devices will also pose a threat to personal safety. For example, former US Vice President Dick Cheney has a pacemaker in his body. In order to prevent long-range attacks, his heart's wireless monitor has been specially modified to prevent it from being exploited by hackers.
Attacks against social infrastructure are not a myth, but in fact some countries have encountered it. In 2010, the Iranian nuclear power plant suffered a "seismic network virus" attack, causing damage to 8,000 centrifuges. If it is more serious, it may cause a nuclear leak.
The most recent attack on infrastructure was in December last year when a Ukrainian hydropower station was hit by a cyber attack that eventually caused a blackout of more than 100,000 homes.
So now whether it is the United States or China, or the rest of the world, cyber security is considering issues beyond the virtual world. Network security protection is not just about protecting the network infrastructure, but about protecting the entire country and society. Infrastructure, including energy, electricity, transportation and other infrastructure.
Therefore, in the era of the Internet of Things, cyber security issues will be a challenge for traditional industries and manufacturing industries. For 360, this is also a good thing for us to do. When the traditional industry connects factories and production lines to the Internet, 360 can do escort.
The important reason for us to withdraw from the US is to solve the problem of identity. From a foreign company to a domestic company, we can provide the government, the military, and many companies with protection from network security to the Internet of Things. .
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