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Editor to share with you what the AI way of thinking is, I believe most people do not know much about it, so share this article for your reference, I hope you can learn a lot after reading this article, let's go to understand it!

The correct way of thinking is the key to the landing of AI

Internet thinking was very popular three or five years ago, and there are many books and courses about it, and its essence is a set of methodology. Internet technology is only a tool, traffic is only a resource, the Internet can change a variety of industries, it is precisely because the traditional enterprises understand and accept the Internet thinking, the Internet and business are closely integrated.

In the era of mobile Internet, the industry has also experienced the process from "superficial mobility" to "thinking mobility". At first, Internet companies thought that as long as there was App, it was mobile. However, facts have proved that the mobility of Internet companies must be from the concept of AI First, at the same time in the product, technology, operation, cash and many dimensions are mobile, in order to achieve real mobility.

Facebook is in the process of mobile transformation. Facebook CEO Zuckerberg said at a meeting after the company decided to "Mobile First" that there were screenshots of PC on the product manager's material. "I won't have a meeting with you" if there are screenshots of PC in the future, Zuckerberg said. Zuckerberg's move is to mobilize the company's mobile thinking in an "extreme way."

Finally, Facebook successfully transformed mobile Internet companies with mobile thinking, with heavyweight products such as Facebook, WhatsApp, Messenger, Instagram and so on. 90% of users use mobile products and 90% of their revenue comes from mobile. Twitter, on the other hand, has been squeezed out of the central stage of the Internet because it missed the mobile era, the core reason is that it only moved the PC model to mobile phones, instead of adjusting its strategy as Weibo did to meet the changes in the mobile era. Now Twitter has been overtaken by Weibo.

The arrival of the era of artificial intelligence has been a consensus in the industry, but now the technology giants' application of AI also has the problem of "deep learning technology", that is, the surface AI of AI, and even some mobile phones claim to be "artificial intelligence phones" just by introducing a third-party voice assistant.

Many people misunderstand artificial intelligence that it is a technology-- like App or H5. However, in fact, artificial intelligence should be corresponding to the mobile Internet or the Internet. It will change the production and operation of enterprises, change people's way of life, bring new business models, and form a new economy similar to the Internet. Because of this, the era of artificial intelligence needs a new way of thinking.

What exactly is AI's way of thinking?

Now that the industry embraces artificial intelligence, what kind of thinking does it lack? The author thinks that there are five ways of thinking in the era of AI:

1 、 AI First

"from think mobile to think AI", just like when the mobile Internet hit, the industry said Mobile First. Not long ago, its CEO Sandal Pichai made it clear at the Google I Mobile first to AI first O conference that the company's strategy had changed from "Mobile first to AI first". Baidu defined the AI First strategy earlier, and believed that more and more technology companies would put AI ahead.

2. You can't just stare at your phone.

Mobile phones will still exist for a long time, but there are not many mobile opportunities, and it is becoming more and more difficult to start an App business. As early as the third World Internet Congress on November 11 last year, Robin Li issued an industry warning: "the era of mobile Internet is over, this tuyere is no longer possible to appear unicorns, and the future opportunity lies in artificial intelligence." At first, this statement caused controversy in the industry, but now it seems that it is really difficult to have another opportunity to continue to do App around mobile phones, and AI provides a more opportunity.

AI cannot be done only around mobile phones. In the past, an important change in voice technology was to move from mobile phones to homes and other scenes, because voice technology people can communicate with "things" and have the ability to "awaken all things". At the same time, visual technology also goes from online to offline, such as the facial scanning payment of vending machines.

3. The combination of software and hardware is the necessity of AI.

AI wants to go to more scenarios, from online to offline, the combination of hardware and software will become more and more important. One example is the success of the Amazon Echo, a smart stereo that can also respond to users' voice commands to get information, shop and turn on the lights. Now Google has followed suit to launch the Home, and Apple will join.

Why don't users use their phones to do this? Because in this scenario at home, Echo can be plugged in all the time, so you don't have to worry about energy consumption, so you have the ability of Always on Mic, and the microphone can listen to the user's instructions all the time, which the phone cannot do, which is the advantage of the combination of hardware and software. Driverless car is a case of the combination of hardware and software, algorithm is important, data is important (high-precision map), hardware is more important (radar, etc.).

The combination of hardware and software is not just said this year. In 2014, when smart hardware was in the ascendant, the industry was talking about "combination of software and hardware". However, at that time, it was more about solving the connection problem, so that the hardware could be connected to the App of the mobile phone, and the phone could control electric lights and home appliances, which proved to be meaningless.

However, the collective treadmill of the intelligent hardware industry does not mean that the combination of software and hardware is a pseudo demand. Now the AI technology tends to mature, and after the combination of software and hardware, there will be a real intelligent scene. For example, people no longer need to use mobile phone App to control home appliances, but home appliances home appliances according to user behavior habits big data, context awareness, self-adjustment. The result of smart hardware is that the cost of sensors is reduced, the technology of the Internet of things is mature, and more devices are connected to the Internet. Now that AI technology is coming, the era of smart hardware is really coming.

4. Data second kill algorithm, which promotes social progress.

The three elements of artificial intelligence are algorithms, data and talents. Big data may be more important than algorithms, because data, especially "clean data", institutionalized data takes time to accumulate, and not every company has it. But it is the algorithm that ultimately changes the world. Where the data is put is oil, which can only be used by the people after refining. The value of the algorithm is to transform the data value into a product. Data is like coal in the age of steam engines, which existed long before Watt, but Watt's steam engine changed the world.

5. Use AI thinking to make Internet products and reduce dimensionality.

In the AI era, if Internet companies can use AI thinking to make Internet products, do things that have been done on mobile phones with AI, or do things that have not been done on mobile phones, they can form a "dimensionality reduction attack." For example, compared with typing, voice input is a reduced-dimensional strike. "reduced-dimensional strike" is a science fiction term designed to "reduce the spatial dimension of the target itself, making it impossible for the target to survive in the low-dimensional space and destroy the target." In other words, instead of competing with competitors in the same dimension, AI can do a lot of things that traditional technology cannot do, creating a new competitive dimension for technology companies.

Which companies should have artificial intelligence thinking?

On the one hand, technology companies that are already laying out artificial intelligence must emphasize artificial intelligence thinking.

Many companies are attaching importance to artificial intelligence, including Internet giants and hardware companies such as mobile phones. However, if you want to seize the opportunity of artificial intelligence, you can't just treat artificial intelligence as a laboratory project. Only after AI First, can resources be invested in the underlying technology of AI, and AI technology can be applied to all the business of the company. In the end, it can not only unleash the value of the data, but also create new business scenarios, enhance the user experience, and improve the operational efficiency of the company.

On the other hand, different industries, including traditional industries, must understand and accept artificial intelligence thinking.

The changes of the Internet to various industries have been obvious, such as retail, advertising, media and other industries are bearing the brunt. Mobile Internet, especially O2O, sharing economy and other business models, has also changed the catering, hotel, tourism, film, travel and many other industries. Now that the era of artificial intelligence is coming, the order of traditional industries will be changed again.

The degree of change this time is likely to be greater than that of any previous technological change, because the "machine replacement" is unstoppable, and many technology leaders, whether it is Robin Li or Jack Ma, have warned that many occupations may face the risk of losing their jobs. Artificial intelligence will eliminate some industries, establish some industries, and reconstruct the business models, production methods and business methods of some industries. There are also endless opportunities behind this. Therefore, if the traditional industry wants to be in an invincible position in the process of establishing the new order, it must embrace AI thinking.

There is a process for any new thinking to fall to the ground. AI thinking needs a very long process of thinking transformation from proposal to landing. The first point is that product managers need to shift the focus of the interface from button, UI and adaptation to data. Facebook product managers now focus on data and chips. The span of the two is relatively large, but with the continuous development of the market, AI thinking will gradually affect us. We must embrace AI in the right posture, or we may be eliminated by the AI era. Will AI thinking in the AI era be as popular as Internet thinking?

The above is all the content of this article "what is the AI way of thinking?" Thank you for reading! I believe we all have a certain understanding, hope to share the content to help you, if you want to learn more knowledge, welcome to follow the industry information channel!

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