At the beginning of 2023, AI has become the protagonist under the spotlight on the stage. The AI wave not only gives us a new understanding of the capabilities of artificial intelligence, but also affects everyone's work and life to varying degrees.
ChatGPT, Notion AI, New Bing, GPT-4, MidJourney v5, office copilot, Adobe Firefly, Chat GPT plug-ins, etc. followed one after another. It seems that artificial mental retardation really became artificial intelligence overnight
The era when everyone has a "Jarvis" is coming. Office white-collar workers, doctors, psychological counselors, data analysts, lawyers, front-end programmers, designers, etc., are beginning to worry that their careers will be affected. Then, is this real?
How will our lives change
At present, the world has entered an AI arms race. Although thousands of people proposed to suspend AI training for 6 months, the author feels that there is no turning back. OpenAI will continue to train and optimize the model with a high probability. We should embrace changes. Use it in advance, domesticate it, let him empower us.
Because the machine will help you complete a lot of tedious and time-consuming things, such as doing a lot of information sorting, people can focus more on enriching their own experience and enjoying life,
Since 2018, many enterprises around the world are actively carrying out digital transformation, hoping to introduce digital technology to improve the efficiency of enterprise operations, so as to find new growth points and competitive advantages.
The explosion of this round of AI capabilities will enable companies to respond to changes in the market and customer needs with higher efficiency, greatly enhance entrepreneurs' control over the company, reduce resource consumption within the company, and comprehensively enhance the company's combat effectiveness.
In the era of intelligent digitalization, repetitive work is gradually disappearing
Judging from the press conference, ChatGPT is very good at summarizing information and materials . AI can automatically collect, organize and analyze data, generate detailed reports, and help companies make better decisions. Our usual repetitive work can be handed over to AI , such as our daily, weekly, monthly, and annual reports, there are a lot of repetitive work and waste of resources.
Many people predicted that the article mentioned that the position of data analysts may disappear in the future, and the large-scale layoffs of foreign consulting companies, in addition to economic reasons, may be related to the fact that this kind of data-level analysis and summary is an area where AI is better at. An employee who has mastered an AI-assisted job may be worth the work of 2-4 people in the past.
Who will be affected?
This wave of AI pressure has also given designers, content creators needless to say, since the release of ChatGPT-3.5, a large number of ways to guide and use ChatGPT to make money are self-media, through which you can quickly write novels, scripts, and stories wait.
No one would have thought that programmers are one of the most affected groups. Since the release of ChatGPT-3.5, their code editing capabilities have been surprising. At the ChatGPT-4 conference, a sketch was directly transferred to the front-end page. The front end will tremble when you look at it. This popular position for nearly 20 years may face unprecedented shocks and challenges, because from the perspective of cost reduction and efficiency increase of enterprises, programmers are the biggest cost of high-tech companies.
In addition to these, all positions that perform auxiliary information retrieval and information summary will be greatly affected, such as assistant lawyers, assistant doctors, secretaries , etc. AI is better at it than humans. In the short term, professionals who have mastered how to use it still have the opportunity to gain a wave of dividends by mastering its first-mover advantage.
The upgrading of enterprise efficiency will usher in a big change, and the real digital transformation is coming
For enterprises and developers, the cost of trial and error in technology is too high. Both native technology and low-code are tools in the hands of developers. The significance of tool change and reform is very different. Tool change means improvement of production methods and increase of production efficiency. You can also focus on another track - low code.
Low code can reduce unnecessary workload and hide complex programming syntax. Building multi-terminal applications at one time allows developers to focus more on innovative, valuable, and highly differentiated work, while meeting the needs of enterprises in terms of personalization and agility. Why not do it?
JNPF, based on low-code development technology, adopts two mainstream technologies Java/.Net development, focusing on low-code development, with drag-and-drop code generator, flexible permission configuration, SaaS service, powerful interface docking, you can do whatever you want Changing workflow engine. It supports multi-terminal collaborative operation, provides 100% source code, and supports multiple cloud environment deployments and local deployments.
Based on the code generator, it can develop multi-terminal applications for Web, Android, IOS, and WeChat applets in one stop. After the code is automatically generated, it can be downloaded locally for secondary development, effectively improving the overall development efficiency.
Open source entry: https://www.yinmaisoft.com/?from=csdn
It has covered mainstream industries such as retail, medical care, manufacturing, banking, construction, education, and social governance. One-stop construction: production management system, project management system, invoicing management system, OA office system, personnel and finance, etc. It can save 80% of the time and cost of developers, and has the functions needed to build business processes, logic and data models.
The process of accumulating enterprise data is actually the enterprise completing its own digital twin. All in all, this change may be like the popularization of home computers, changing our work and life from infinite depth and breadth, and this round has a high probability It is much faster than the popularization of computers, because this wave of changes takes place in the cloud and does not need to rely on the popularization of hardware, and the iteration speed of AI will far exceed the reception speed of previous hardware.
So I also hope that everyone can look at this matter with an open mind, learn and use it as soon as possible.