Understand the history of the development of artificial intelligence, the trend of thinking about the far-reaching impact on the business world
In December of Beijing, the cold wind is cold and cold, and everything is crouching. It contains a year of hard work and hopes for the coming year.
In the past 250 years, the main driving force for the rapid development of human society is general technologies such as steam engines, electric power, internal combustion engines, computers, and the Internet. The emergence of these technologies is accompanied by the emergence of tidal complementary innovations and business opportunities. Today, it is comparable to the above technology, and it represents artificial intelligence in the future.
On December 8th, the 8th China Enterprise Organization Management Summit Forum “How Artificial Intelligence Changes the Future of the Enterprise†organized by the Yang Triangle Learning Alliance (YOLO) was held in Beijing. This summit invited the world's top experts in artificial intelligence, Jerry Kaplan, Stanford University, founder and CEO of Japanese robot company Robo Garage, Tokyo University Distinguished Professor Tomotaka Takahashi, Baidu IDK founder, Horizon Robotics founder and CEO Yu Kai, Tencent CVP, financial management general manager Lai Zhiming, general manager of Ali Intelligent Services Division Zhao Kun, and more than 300 entrepreneurs participating in the discussion of artificial intelligence history The status quo and trends, and the impact on business models and business processes, help Chinese entrepreneurs to open up new thinking and seek new strategies in the transformation of artificial intelligence.
In this era of being good at creating tension and anxiety, the forum is undoubtedly similar to a "sedative", letting everyone understand the history and trends of artificial intelligence development, and at the same time, calmly and seriously pondering the far-reaching impact on the business world.
A new generation of artificial intelligence is not just a "wheel"
Some people compare the impact of artificial intelligence on the world with wheels, but it is not very reasonable. The invention of the wheel brought revolution in the field of transportation, and transportation is only one of many industries that may be transformed by artificial intelligence. From IBM's Deep Blue Robot to Google's Alpha Go, from robot dog "Big Dog" to group robots, from understanding written language to emotional computing, augmented reality, the impact of artificial intelligence on business is breaking through from a single point and gradually converges into a torrent And this flood will continue to magnify in the future. Manufacturing, retail, transportation, finance, medical, legal, advertising, insurance, entertainment, education, almost all industries will be affected by it, change the original business model and core processes, and catch up with the tide of machine learning.
What is the difference between artificial intelligence and machine learning and the robots that were born in the era of automation? Most of today's robots are also limited to factories and perform simple repetitive tasks. The reason is that most machines today do not perceive the surrounding environment, or adapt to changes in the environment, and thus can only work in a finely controlled environment. However, once artificial intelligence is used, it is equivalent to the eyes and ears of the robot, they can sense the surrounding environment and interact like humans and animals.
This new type of "flexible robot" can work in the same environment as people in the real world because they can adapt to what is happening around them. The "flexibility" of robots is achieved through machine learning. The sensor is able to determine the surrounding objects and their precise position, and the machine learning program takes a massive data stream from the sensor to extract the law.
Artificial intelligence is an advanced form of automation
When it comes to artificial intelligence, we are often guided by mistakes such as Hollywood blockbusters or some literary works, thinking that robots will become more and more intelligent, eventually surpassing humans and defeating human beings. Is this really true?
The reason for this idea is that the "intelligence" in artificial intelligence makes it easy for us to "see the meaning of the text." The reason why humans invented new machines is because the new machines can automate the work that previously required human labor—whether physical or mental. And new machines should be able to do their jobs better, faster, or at a lower cost than humans. Otherwise, the invention of the new machine will be of little value. Artificial intelligence is not able to transcend human capabilities, as described in many films, and ultimately take over the control of humanity and take over the world. The artificial intelligence program is still a computer programming language written by humans, and it is still a tool for human beings to solve different problems in the real world. Compared with the previous machines, artificial intelligence is an advanced form of automaTIon, which can make human beings better free from transactional and technical work, and make our society become richer. .
Benefiting from massive data accumulation, algorithm advancement and hardware technology enhancement, today, most of the artificial intelligence we see is more machine learning technology and a lot of data applications, including driverless cars, recommendation engines, firewalls and so on. Some of this data comes from traditional databases that record transactions or record measurements, and some come from real-time data streams from sensors such as cell phones, cameras, and the Internet of Things. Modern artificial intelligence is a new way of extracting value from massive and growing digital information. As long as a large number of data streams are found, it is possible to determine possible future applications and how to benefit from them. These data don't need to be clean and organized like traditional databases, even if it's messy and unregulated. The machine learning program will automatically sort out these messy data and get a clear summary or comment.
Think about artificial intelligence opportunities from another angle
Humans are always accustomed to using existing knowledge systems to explain new things. For example, when a new technology is introduced, people naturally think that new technology will directly replace something they already know and understand. But with the familiarity and mastery of this new technology, people are gradually realizing that if they want to really play the role of new technology, they need to redesign the process.
When the car first appeared in the United States around 1900, people called it a "car without a horse." Why? Because it is easy to understand it directly as a substitute for the familiar carriage, but it is amazing that there is no horse. Removing the horse has obvious advantages. When the car is not running, there is no need to feed the feed, it will not be born, it will not refuse to work, and it will not urinate anywhere. This was a big problem in the city at that time. But if you only think of a car as a car without a horse, you ignore the true power of this new technology. Cars have revolutionized the transportation system. But these advantages were only realized when the surrounding infrastructure changed significantly.
Today, when we face driverless cars, we are repeating the same mistakes. Unmanned vehicles will change everything: how people travel, how they live, and how they transport goods. However, if there is no special space dedicated to unmanned vehicles and separated from manned cars, these advantages will not be fully realized. For example, self-driving cars can travel at very high speeds close to each other. But if it is mixed with a manned car, the unmanned car is not allowed to exercise like this. Moreover, the unmanned vehicle does not need a lane or even a traffic light, and the vehicle can negotiate the most effective path by itself.
Although the modern car assembly line has been highly automated, the basic approach follows Henry Ford's design philosophy 100 years ago, where each car passes through one workbench and each workbench's skilled workers perform their own tasks. . Today, although most skilled workers have been replaced by machines, the concept of the production line remains the same. This means that the entire production process must be broken down into tasks or workbenches that everyone can see and understand. This allows workers to link every step of the manufacturing process to a specific location. A worker knows where and when to put a wheel on the car. The manager can check the production line at any time and find the problem. But artificial intelligence does not need to follow this philosophy, the manufacturing process can become more complicated, and each car can be assembled in different forms.
Take a look at the ever-changing warehouse inventory model of Amazon, the largest e-retailer in the US, and we'll take a peek at the mysteries. In a typical traditional warehouse, the same items are put together for easy categorization and searching. However, in Amazon's latest warehouse, an item is placed with other items that are often shipped together. The human eye looks very confusing, and there are different shapes and types of objects everywhere. However, the artificial intelligence computer system can command a group of flexible robots to process orders with faster speed and higher efficiency. Of course, the same principles can be applied to other highly automated plants. In the future, such a factory that fully uses artificial intelligence technology may look completely different from today's factories. The components used in the assembly may be placed at various locations in the factory, and a large group of robots are running around to assemble and distribute the components as needed. Of course, only artificial intelligence can command such a chaotic instrumental ballet and enjoy its beauty.
In the near future, the factory will be filled with machines that can pick up and pack orders, store and organize shelves, sort, cut, inspect and assemble randomly placed components. But this revolution is not limited to factories. Soon, people will see flexible robots everywhere, brushing walls, painting floors, cooking, serving, washing dishes, making beds, washing clothes, walking dogs, laying pipes, sweeping streets, taking tools, bags and so on. But all of this is just the first step in using artificial intelligence. In the initial stage we just replaced humans with machines. After that, artificial intelligence will open the door to a complete redesign of the factory and public spaces.
China is one of the leaders in artificial intelligence
In fact, China is one of the countries with the highest level of digitalization in the world, with the largest number of mobile phones, Internet and online game users. China is also one of the world's leading countries in artificial intelligence technology. Many Chinese companies are the world's leading companies in the field of artificial intelligence, such as Baidu, Tencent and Alibaba, as well as some start-ups. Machine learning is very good at extracting useful information from massive data. The more data, the better the program will run. The Chinese government and Chinese companies can take advantage of this strategic advantage by accelerating the use of artificial intelligence by sharing data widely.
Artificial intelligence, especially machine learning, is the most important universal technology of this era, which not only makes our interaction with electronic devices easier, but also helps us find more relevant information and help us better understand this information for us. The meaning of life helps us keep up with this increasingly digital world. The impact on business and the economy is not only reflected in its direct contribution, but also in the emergence of complementary innovations and opportunities. Organizations that can quickly perceive and seize opportunities will occupy the highlands in the world of artificial intelligence, depending on whether the business managers are ready!
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