zhang zonggai of shugen internet: "dual-cross" platform can reduce the trial and error costs of enterprise transformation
2024-09-20
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recently, based on three years of in-depth research, the "guangdong enterprises going to the cloud" special session of the "gulfstream·digital intelligence empowers new quality perspective" series of seminars hosted by yangcheng evening news was held in guangzhou, inviting representatives and experts from digital service providers to share their experiences and suggestions on empowering enterprise transformation.
talking about the transformation concerns of small and medium-sized enterprises, zhang zonggai, general manager of the market brand center of shugen internet co., ltd. (hereinafter referred to as "shugen internet"), believes that the transformation cost issue that enterprises are worried about is actually a risk issue. the biggest challenge they face is whether the projects that digital service providers have successfully implemented in other companies can produce the expected results in their own companies. "even different companies in the same industry may have different equipment, personnel, and other conditions during the actual implementation process, which may lead to deviations in the effects of plans in the same industry."
"in the process of digital transformation, small and medium-sized enterprises must have a good reference template in the same or similar industry," zhang zonggai analyzed. "with a limited budget, assuming that the enterprise has 100 things to do in the digitalization of the entire chain, we recommend that managers pick out 3-5 of the most important things and implement them in a targeted manner. digitalization is a long-term systematic project, and an overall plan must be made, but don't rush to implement the overall transformation of the entire process. funds, time and manpower may not be able to keep up, and it is easy to encounter obstacles in the actual implementation of digitalization. point-based optimization is better than system optimization."
in zhang zonggai's view, if digital service providers want to solve the problems of small and medium-sized enterprises, they should be the industry leaders who implement full-chain and full-process digitalization, and then, based on the actual situation of small and medium-sized enterprises, launch standardized point solutions to the core contradictions in production, so as to ensure that more transformation value is realized and the cost of trial and error is reduced.
as one of the first national cross-industry and cross-field industrial internet platform companies, shugen interconnect has been deeply involved in the industry for 8 years and has developed an independent and controllable industrial internet operating system and more than 600 solutions involving intelligent manufacturing and smart operations. it has served more than 20 industrial sub-sectors including equipment manufacturing, steel and metallurgy, automobile complete vehicles and spare parts, and consumer goods.
"we have served enough industries and large enough customers to accumulate a more complete technology system. for example, we provide digital support for upstream vehicle manufacturers, whose level of intelligent digitization is usually relatively high. this allows us to provide suggestions on the most core business links when serving downstream supporting small and medium-sized manufacturers, and replicate our experience to them in a targeted and rhythmic manner," zhang zonggai gave an example.
the cross-industry and cross-field advantages also extend to the industrial ai algorithm business of shugen interconnect. "our industrial ai algorithm technology has not only been applied in cooperation in traditional industrial industries such as equipment, automobiles, and raw materials, but has also been innovatively applied in fields such as cattle breeding, winemaking, and forestry, and has achieved breakthroughs in traditional production models." in zhang zonggai's view, artificial intelligence can help companies reduce the uncertainty caused by human factors, and by learning from expert experience and a new generation of algorithm simulations, they can find the optimal production curve more quickly during the production process, which can also increase the success rate of corporate transformation.
text｜reporter huang ting
photo: reporter yan jincheng
