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Will AI become the next business management bearer?

He is known as a T-guest 2024/06/26 08:20

Known as T customers, will AI become the next person to blame for enterprise management?

At present, the rapid development of AI technology has brought convenience to our work and life, but also brought surprises, because in the eyes of most business leaders, AI is too good, too capable, and capable enough to kill many positions, without paying social security, and can work 7*24 hours without complaints, so there are new and higher expectations for AI technology, and even this degree of expectation has surpassed the existing capabilities of AI itself. Will AI be the next manager's backbiter?

At present, most enterprise managers face the following problems in the face of AI: they do not understand AI, blindly worship AI, and think that AI is omnipotent!

In the consciousness of most traditional business leaders, AI is a god-like existence that can be written, drawn, and programmed...... However, the reality is that the current scenarios for AI application in enterprises are very limited, and the functions it finally shows are not as advertised, which includes the technical problems of AI products themselves and the problems of enterprise AI application capabilities. Is this the same as the scene when the concept of digital transformation was launched, the publicity is all good, but the results of the landing output are always very chicken. Therefore, it is not difficult to see that the current traditional enterprise application of AI is the first problem of consciousness, enterprise leaders and employees are always difficult to sink down to improve the depth of understanding of AI, always expect AI to produce the miraculous effect of "turning stones into gold", in order to improve various problems in daily work, always lazy in thought, and in consciousness hope that "diligent" AI can do all its work, and is unwilling to make changes in the work mode, in fact, what is lacking in the AI era is not technology, but ability, a use of AI technology +The ability to innovate, in fact, can be called new quality productivity. Whether it has the ability to control AI technology is a problem that every traditional enterprise needs to face and need to consider, otherwise AI technology is very likely to become the back of management.

How to harness AI is a problem that traditional enterprises have to face!

According to Lao Yang's survey, nearly 80% of the respondents said that they only knew a little about AI, and nearly 52% of the surveyed enterprises said they did not know what AI could do and how to apply it in enterprise work scenarios. At present, there are a variety of AI products on the market, but the survey on the functions of AI products shows that nearly 73% of the surveyed companies say they know something, and nearly 25% of the surveyed companies say they do not know very well or even do not understand at all. The main reason is the difference in the basic capabilities of enterprise digitalization, and an enterprise that does not even have the most basic digital awareness and ability will make a difference in AI? The answer is no! For most traditional enterprises, some managers are vague about the lofty concepts of digitalization and AI, and even subconsciously are instinctively afraid of these high-tech technologies, fearing that they are non-professional and technical personnel and dare not have an in-depth understanding, but they have high expectations for the output requirements of AI, and this expectation is unrealistic and whimsical from real capabilities, just like the hope that the system can solve all management problems when doing digitalization. Most traditional business leaders believe that omnipotent AI technology can realize everything they want, if it can't be realized, it must be that AI technology is not mature, so at this time, AI is also behind the management pot.

Are employees really afraid of AI?

Although industry public opinion is hyping about how many jobs AI will make disappear and how many employees will lose their jobs, Lao Yang found that under the momentum of rapid development of AI technology, as many as 87% of the surveyed enterprise users said that AI is the trend of the times and will actively embrace AI technology and develop together, while only 7% of users are worried about being replaced. In other words, most employees expect to have AI capabilities and create more value with the support of AI technology. So why is it still difficult to apply AI in most traditional enterprises? After investigation, Lao Yang found that the problems are as follows:

First, enterprises lack technical capabilities, which make it difficult to technically support the application, promotion, and solution of AI products.

Second, enterprises lack professional organizational capabilities and have not formed systematic AI application capabilities.

Third, enterprise leaders and employees lack AI awareness, which is not unrelated to the weak basic digital capabilities of enterprises.

Fourth, the lack of special funding is also a major factor affecting the application of AI in enterprises.

Fifth, the value of AI applications is difficult to predict, and the input-output ratio is full of uncertainty.

Sixth, AI's ability to process non-standardized professional scenarios needs to be improved, and professional systematization needs to be further trained.

In addition to the above problems, the current limited application scenarios of AI products are more prominent problems, for example, a manufacturing enterprise wants to make a large model of production process, and accurately predict what kind of tools, tooling, material quotas, and what kind of ability matching is needed when developing a new product through the AI large model. At the same time, it is difficult to obtain relevant process data for training in the industry, so it is difficult to achieve.

Whether it is a technical problem, an organizational problem or a capability problem, in the final analysis, it is actually a management problem of the enterprise.

So how can enterprises build AI capabilities?

In addition to the improvement of cognition, Lao Yang believes that organizational ability is very important, in the survey Lao Yang found that nearly 68% of enterprises said that they had never considered whether to set up AI-related organizations or positions, and nearly 25% of enterprises said they were ready to set up. To implement AI, we must work organization and management, and establish a professional AI implementation and application organization. At the same time, in the promotion and application strategy, we should adopt the strategy of breaking through a single application scenario, testing the water with a small incision, and then promoting it on a large scale after achieving the effect, so as to avoid greed for perfection, stepping on the pit in technology, and wasting costs.

From this, it is not difficult to see that AI is not only a technology, but also a kind of ability, a combination of advanced technology + innovative ideas, and the trend of enterprise management in the future, but at present, most of the traditional enterprises still can't read, can't see through, dare not use, won't use, advanced technology into productivity still takes time, advanced technology is still difficult to reflect the value in traditional management, so what enterprises need is not only technology, but also the management transformation of technology and business integration, if not, then AI will be on the back of the pot of enterprise management. Become the next veritable backstabber.

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