Now is a more mature era for the development of AI.
The three basic scaffolds of AI are data, HE Tuber computing power and algorithms.
The rapid development of the Internet industry in the past decade has enabled us to accumulate more understanding of machines. The reason why Baidu, Alibaba, and 360 took the lead in proposing three interfaces similar to ChatGPT in China is because they have accumulated massive amounts of data and can provide models based on the data, allowing AI machines and algorithms to learn and capture from it.
Now in the 5G era, computing power has been qualitatively improved,
and machines can be controlled remotely. Originally, in the 4G era or 3G era, manual configuration of parameters was still required for operation. In the future, computing power can be used to achieve the leap from digitalization to intelligence.
As for the algorithm, I believe everyone must have a clear perception of its power in the process of watching short videos, shopping and browsing information.
The train of the times is coming with a bang and cannot be stopped.
Now that the data ladder has been erected and computing power and algorithms have been accumulated, it is as natural as a person considering starting a family and starting a business after graduating from college. In the next 5-10 years or even 3-5 years, AI will penetrate into various industries and improve their intelligence level.
AI improves efficiency, what should we mention?
The ultimate goal of improving the level of intelligence is to improve efficiency, which mainly includes improving efficiency, effectiveness, and effectiveness.
The efficiency of an enterprise refers to the value of the products produced per unit time, that is, the faster the speed, the more output per unit time. This relies on the support of AI visual recognition technology and in-depth language service technology, including smart customer service, black light factories in smart manufacturing, smart warehousing in logistics, etc., which can greatly improve efficiency.
Validity means that AI has greatly improved its accuracy.
For example, the platform uses AI technology to profile users and deliver advertisements accurately, making the company's business orientation more accurate.
Improving efficiency and effectiveness is ultimately about improving efficiency, using fewer, better people, and at lower costs to increase overall profit margins.
How to reduce labor costs?
In a business, people are the most important asset. Most of the company's cost structure is labor costs. After reorganizing the organizational structure, we can find that this part of the organizational capabilities based on basic knowledge, basic skills, and fixed processes can be completely replaced by AI.
The configuration of virtual employees can allow enterprises to
capture the dividends of AI to a large extent. The dividends of labor costs will explode in the next 3-5 years. Whether we can capture the dividends depends on the reshaping of organizational capabilities from the operational and management level.
This reshaping is to gradually peel off the job responsibilities and work content that virtual employees can undertake and what needs to be completed by physical employees, so as to transform the enterprise from a talent-burdened organization into a lightweight talent-application organization as soon as possible.
Virtual personal assistant (VPA for short) is a context in AI, similar to Xiaodu or Tmall Elf. This is the most original assistant that has no industry segmentation and is open to everyone.
After AI is segmented based on industries, its analysis of certain things still requires more advanced training and evolution. VPA is an open path, and it is more about empowering key people in the company's internal management.
This mainly includes two aspects. The first is the intelligence of entrepreneurs, especially in terms of cultivating successors of private enterprises and the "second generation of entrepreneurs". Whether VPA can truly support future business owners in terms of intelligence.
The second is the intelligent replication of high-performing employees.
According to the "80/20 rule", 80% of an organization's performance may be produced by 20% of its employees. By strengthening the analysis of the problem-solving thinking, communication, and decision-making logic of these 20% of people, a model is established so that the other 80% of employees can gradually learn the abilities of these people.
Once core employees are lost, the damage to the organization will be great. If VPA ideas and technologies can be used to achieve the intelligent retention and accumulation of high-performing employees to a certain extent, it will save a large part of the loss of organizational capabilities.
More importantly, when an organization gradually introduces intelligent replication of high-performing employees, a private database will be formed within the enterprise, including the basis for employee behavior decisions and the standards for work results.
As the database gets larger and larger, it will only increase some operation and maintenance costs, but the employees will become more and more sophisticated and fewer and fewer, their abilities will be more creative, and the company will be more dynamic.
