AI, Feeding Itself, Shaping the Future
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Qi Min is an entrepreneur born in the 1980s who co-founded Wuhan Duobit Information Technology Co., Ltd. years ago with several classmates in Wuhan. Duobit is a company specializing in the development of mobile puzzle and educational games, with many of its products ranking among the top downloads on platforms like Apple's App Store. To date, the company has developed over 100 products, accumulating more than 800 million users worldwide.
In the first half of this year, Qi Min mentioned that their company had newly established Wuhan Zhiqite Information Technology Co., Ltd., aiming to provide AI services to enterprises in Guangdong.
Qi Min stated that their puzzle game company, Duobit, has already collaborated with large-scale models from Microsoft and Alibaba, feeding vast amounts of image and text data into their extensive database. After a period of 'training,' the database has become highly capable. Tasks that previously took days to complete, such as image creation, can now be done in a fraction of the time, with text processing being even faster.
According to Qi Min, future enterprises will all be digital, and the degree of digitalization will determine a company's competitiveness. He noted that Duobit has greatly benefited from AI, gaining significant insights and experience, and hopes to empower more businesses. This led to the establishment of Wuhan Zhiqite Information Technology Co., Ltd.
Zhiqite's strength lies in its advanced image comprehension capabilities, making it particularly suitable for applications like virtual live-streaming robots and content planning.
However, their understanding of the manufacturing industry is somewhat limited.
But this doesn’t hinder their industry insights. Don’t they have access to ChatGPT’s large model? They quickly utilized the model to search for numerous case studies on AI applications in manufacturing.
Would Shenzhen Keli have a better grasp of manufacturing? Consequently, Shenzhen Keli also visited the association, bringing along their AI department head.
Keli Consulting (Shenzhen) Co., Ltd. is a professional service provider that offers R&D, control, and improvement solutions for manufacturing enterprises. They enhance business operations through management improvements, reduce costs through design, and foster innovation through tools. They have collaborated with the association for many years.
Now, Shenzhen Keli has also established a dedicated AI platform to implement identified AI opportunities. Under centralized management, the platform can simultaneously achieve functions like product quality inspection, dimensional measurement, equipment monitoring, industrial data analysis, environmental safety monitoring, RPA process automation, and smart warehousing.
Reportedly, Keli’s AI cloud platform reduces project cycles by 70% compared to traditional AI solutions, with investment costs at just 50% of conventional methods. It boasts low investment, quick returns, stable operation, and excellent scalability.
Keli believes that enterprises must make AI the core of their strategy, integrating it across all products, production processes, and management aspects. Continuously leveraging AI to develop new functionalities will improve efficiency, achieve goals, and build the future enterprise ecosystem.
Since the end of last year, the emergence of ChatGPT has attracted widespread attention globally.
Earlier this year, the association invited a professor from Tsinghua University to share insights on ChatGPT applications. Unexpectedly, within just over half a year, AI has already permeated various real-world scenarios.
In the U.S., a young entrepreneur leveraged ChatGPT to create a virtual relationship expert that chats with users at minimal cost, while the marginal cost for the entrepreneur remains even lower.
In Shanghai, an expert utilized virtual models to assist companies in shooting print advertisements, significantly reducing advertising expenses.
In truth, the association was among the earliest adopters of mobile apps and WeChat public accounts, yet we often find ourselves 'starting early but arriving late.'
The successful implementation of new technologies requires a comprehensive understanding of their technical logic, customer needs, and practical application scenarios.
Building a middle platform based on large models and enterprise applications, or assisting platform-minded companies in establishing industry-specific middle platforms, requires finding a balance between large models and finer service granularity.
An individual's accumulated knowledge and gradual mastery can lead to expertise—a result of continuous self-enrichment.
The association has been operating for eighteen years, deepening its understanding of growth-oriented manufacturing—a slow but steady process of nurturing.
However, AI progresses much faster. People can only seize a slight 'first-mover advantage' before AI fully comprehends manufacturing services. Regardless, experimentation is essential.
Even if exploration doesn’t yield immediate success, it has marginal effects—such as fostering awareness and facilitating the adoption of new tools and ideas in enterprises.
'Flowers in the rock, nothing beyond the mind.' With this realization, one discovers that more AI practices are already unfolding within enterprises...
Perhaps the journey begins with one’s own practice.