In the past 30 years, information technology has experienced several major qualitative changes, e-commerce, Internet, mobile, community, cloud computing, and recent big data, industry 4.0, Internet of things and so on. Since last year, the society has suddenly seen the power and potential of artificial intelligence (AI), and it is full of expectations for both industry and academic circles. Looking at AI, some people are worried, some people are cold-eyed and think that it is just another wave of egg tower pop. So let me talk about the similarities and differences between AI and the information technology revolution of the past 30 years. In fact, AI is the same as all the information technology changes in the past. It is preceded by a wave of enthusiasm. After the craze, it will naturally fall back, but the impact will permanently change our life and work style. Decided to buy or buy a certain item?). I remember how to teach computers and Office software 20 years ago. 15 years ago, there were courses for teaching online and designing web pages. Now this type of course is almost gone, not using Office software and surfing the Internet is not important, but because These skills are a must. Similarly, for today's AI learning boom, you may wonder how long this wave of enthusiasm will last. As an executive of the Taiwan Artificial Intelligence School, I can tell you that this wave of enthusiasm will not and will not last for many years. The reason is very simple. At the same time that AI has a fever, we will slowly discover that it will be used everywhere in our lives and work. Therefore, the AI ​​course will be gradually incorporated into the school education, software design and professional courses in various fields. The necessary knowledge of knowledge workers. On the other hand, AI is fundamentally different from the wave of information technology over the past 30 years. The essence of e-commerce, Internet, mobile, socialization, big data, etc. is to provide more "information"; cloud computing, industry 4.0 and the Internet of Things are the progress of computing platforms, in the ability to collect and provide More information. In a nutshell, the advancement of information technology over the past 30 years has focused on bringing more and better information to people to help people make decisions. This wave of AI waves is the first in the history of information technology. The breakthrough in the use of information no longer uses human beings as the main body of decision-making, but attempts to assist or even replace human decision-making by computers. To put it simply, the breakthrough in the past lies in the provision of information. The help for our advantage is "addition": more information is available, and competitiveness is extra. And this wave of breakthroughs is finally in line with our expectations of the "brain" of electricity (no longer just a book boy), and began to let it help humans make decisions. Therefore, the advantage brought by AI is "multiplication". Based on the information we have, the computer is more objective and comprehensive than human beings. It may also be a more accurate judgment. There is an immediate effect on the competitiveness. Why is this? It is so important to ignore the reason why it is so deadly. Another difference, past technological advances, is that we can use coverage to measure the progress of a company's introduction. For example, there are 100 systems in the company and 70 systems support mobile applications. But because the purpose of AI is "decision" rather than "information", the AI ​​import process should be evaluated with "performance", just like evaluating students' learning outcomes. A cruel fact is that ten of the same problems in the same production line are also introduced into the same industry of AI technology, and the performance of the introduction may be different. The introduction of AI is not 0 and 1. In the future, every company will introduce AI, but with sufficient depth of knowledge and technology (and data governance), it is possible to achieve better performance than the peers with the help of AI. Trend Master Kevin Kelly said: "If you know AI and know how to work with AI, you will find a job in the future." In the future, individuals or businesses that do not know how to control AI will not be online or e-evolved today. The same, not necessarily fatal, but guaranteed to lose a lot of competitiveness. Therefore, there is no problem of learning or not studying, but the problem of early study or late study. Which one do you want to be? With Cummins Engine Generator,Cummins Diesel Generator,Cummins Diesel Generator Set,Cummins Diesel Generator Get Shanghai Kosta Electric Co., Ltd. , https://www.ksdpower.com
September 09, 2023