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First of all, our AI Planet has been renamed from "ChatGPT&AI Empowering Business" to " AIGC Empowering Business ".
The matter of changing the name, I wanted to change it from the very beginning. The original name contained GPT-related words. I have to admit that when we came up with this name, it was motivated by a little hype.
However, as mentioned at the beginning, this community does not only share GPT aspects, but focuses more on the entire AI track, and is oriented to include the entire domestic AI ecosystem.
Therefore, it is natural to weaken the GPT keyword and change its name to "AIGC Empowering Business".
Many people are wondering what the "Enable Business" in our name means? Or how can AI empower business?
Let me also say here that when you think that AI is an era-changing and irreversible trend, from a business perspective, all walks of life must think about combining with AI.
When I first established the community, I told golfers two real cases.
For example, when communicating with a friend in private, I found that there is a friend who is in finance, who teaches some college students majoring in finance and accounting, and also trains accounting managers of some firms. Then the traditional financial teaching and training will definitely not work, and AI will definitely change the financial industry. , similar to how AI can help you handle financial statement analysis, do ppt, excel vba, accounting systems for multinational finance, etc. If you combine AI for the first time, do you think you will become the head of the financial field in the future?
There was even a friend in the catering industry who talked to me about whether he could cooperate with our community in the future. He has a crowd of catering traffic, and he has been following up how to integrate catering in the AI era.
There are also friends who are self-media, because of lack of development ability, come to ask me, they will produce some prompt templates in the field of self-media, can they use the tools we developed to serve their self-media students.
It is also based on this initial observation, so the term "empowering business" came into being.
In the future, all walks of life will be somewhat changed by AI.
But having said that, there is a phenomenon that the popularity of AI has declined.
For example, I saw a golfer in our community @至智share said that according to the Douyin traffic, the traffic of AI topics began to cool down after entering May. Although the traffic of AI paintings has increased, it is relatively small overall. It has not entered the mainstream people's field of vision.
In other words, in the eyes of most people, the popularity of AI is not particularly high. Note that I am talking about most groups. But what is interesting is that in the entrepreneurial circle, AI is becoming more and more popular . Many entrepreneurs around him have entered the AI entrepreneurial circle one after another. Various business models, service methods, and AI products are emerging one after another.
Some are in the To B direction, that is, corporate training around AI.
Since he has good experience in the B-side, he made some attempts and shared some preliminary thoughts about AI on the enterprise side on the planet. I think it's not bad after reading it. These thoughts may also give you some reference for thinking, so here is a little synchronization:
1. The current situation is very similar to the early days of the Internet in the early 21st century. Discussions are in full swing, C-side application scenarios are becoming more and more abundant, and more and more individual users are beginning to use the Internet. Everyone thinks that the Internet is really good, and this is the future.
However, the popularity of the Internet at the enterprise end is much slower than that of ordinary users, because the enterprise end has high requirements for process coordination. Individual users can have fun and play whenever they have nothing to do, while the enterprise end is completely based on cost and efficiency considerations.
Therefore, although the problem can be solved by an email, most companies are still calling and sending faxes. Once formed, organizational habits are more difficult to change than individual habits.
The problems faced by AI upgrades in enterprise scenarios are very similar to those in the past.
2. By adjusting the business process and increasing the training of AI tools, the work efficiency can be improved immediately. Taking e-commerce companies as an example, most of the workflows of e-commerce companies are basically online, digitized, and standardized. However, due to the mature business processes and operating habits of employees in the past, most employees feel that there is not much difference between using AI tools and not using them at work.
If the original business process is adjusted, for example, the whole process data is fed to AI, and then the AI is allowed to optimize the process based on the whole process data, and then the AI dispatches job tasks. At least 20% of communication costs can be saved. If AI tool skills training is provided to employees, at least 30% of workload can be saved, and a 50% overall efficiency improvement is likely to be achieved.
Efficiency improvement means cost reduction. When the market is caught in a stock game, cost reduction means income increase.
3. Company leaders need to form the daily use habits of AI tools first, and then they can drive employees to realize the overall AI upgrade of the enterprise. The application of AI tools must first start with the company's leaders, so that it is possible to promote the upgrade of AI. Only when you have a hammer in your hand will you hammer the nails.
If company leaders are not used to using AI tools, they will not realize what problems AI tools can solve. The huge gap between knowing and doing is habit. The easiest way to form daily habits is to install GPT tools on mobile phones and computers, and ask AI first if you have any questions. Use it every day, and gradually you will find that AI is really super productive.
When the leaders pay attention, the company will tilt resources and then popularize it. The old path of the Internet era, the AI era will most likely have to go all over again.
4. Enterprise AI upgrade is a long-term systematic work. Although important, it is not urgent. AI upgrade is a long-term systematic work. In the long run, it is inevitable to improve the efficiency of enterprises, but its effect is not easy to appear in the early stage. This is mainly caused by two reasons.
First, most people don't yet have a deeper understanding of what AI tools can do. If you don't know the tools, you don't know what the tools can meet your needs.
Second, the use of AI tools in professional fields requires database support. The three major elements of AI technology are data, algorithms, and computing power. Algorithms are currently provided by various models, such as GPT. At present, computing power is mainly provided by cloud service providers, and it is basically monopolized by large domestic companies.
Every enterprise has data. Once the enterprise aggregates the data and then connects it to AI tools, the efficiency of a large number of online businesses will be greatly increased. A typical scenario is that a large enterprise internally deploys a private large model and integrates the enterprise knowledge base. Internally, the AI acts as an enterprise knowledge expert, and externally acts as an online intelligent sales or customer service. Although small and medium-sized enterprises do not have the conditions to deploy private large-scale models, as long as they build a corporate knowledge base and introduce external AI tools, they can also achieve the same effect as large enterprises.
The construction of the knowledge base and the development of the habit of using AI tools are all things that require long-term persistence.
The long-term value is obvious, but short-term what to start with? This is a question of the beholder.
Compared with the C-end market, the B-end market currently has very little competition, and the market is almost blank.
This is an advantage, but also a disadvantage.
I can't help but think of an old meme, two shoe sellers went to Africa and found that no one in Africa wears shoes. One is very happy, saying that the market prospect is huge. One was frustrated, saying there was no demand in the market.
Both are right because each has a different endowment and perspective.
As Dickens said, "It was the best of times, it was the worst of times."
The above thinking about AI on the B side, I hope it can give you some thinking and reference. You may wish to leave a message to tell us what industry you are in, and has the company started to apply AI or pay attention to AI? Welcome to leave a message in the comment area.
PS: The offline conference mentioned at the end of the article yesterday , I officially announced it on Planet Official last night. For the offline conference in Hangzhou on July 8, the themes shared at the conference will focus on the two directions of AI-enabled business and video accounts . In the past two days, relevant registration information will be notified one after another. If you are interested, you can ⬇️ scan the QR code to follow my video account and pay attention. I will also notify you when the live broadcast is shared with you in the near future.
