Guo Jintong of UFIDA Group: To embrace AI, we must pay attention to software and models

21st Century Business Herald reporter Lei Chen and intern Wei Qiankun

On June 6, the "21st Century Excellent Board of Directors Artificial Intelligence Closed Meeting" was held, hosted by 21st Century Business Herald, Beijing Artificial Intelligence Industry Alliance Metaverse Professional Committee, and China Cultural Industry Association Cultural Metaverse Professional Committee. "The Emergence of Innovation, Technical Problems and Development Paths of Listed Companies in the AI ​​Field".

To achieve the digital transformation of the industry, China’s software industry must be revitalized and embrace the development of artificial intelligence in the new era. Vice President Guo Jintong pointed out at the meeting that companies should focus on software and models from an application perspective.

Talking about software, he said that in the new era, we must embrace AI and promote the digital and intelligent transformation of the industry. The basic prerequisite is to revitalize China's software industry. Otherwise, AI will be a tree without roots and water without a source. The essence of software lies in empowerment. It can empower a thing and transform it into a new thing. Similarly, software can empower a piece of hardware and transform it into a new hardware.

The model is the center of the combination of software and intelligence. According to Guo Jintong, in the era of digital intelligence business, all enterprises will become intelligent and model-based. On the one hand, companies can use mature products provided by service providers that specialize in large models. On the other hand, leading companies in various industries should also establish professional models in their own fields based on their own needs.

When it comes to establishing an enterprise model, Guo Jintong believes that the following key elements need to be paid attention to:

The first is dehumanization. Artificial intelligence is to liberate people from low-level labor. It needs to transfer human abilities to the model first.

The second is digitization. Human abilities must be expressed in a digitized way so that they can be analyzed and refined. Useful data is information, useful information is knowledge, and useful knowledge is wisdom.

The third is black boxing. More and more data, such as data explosion or data flooding, generate data noise and affect the validity of data. It is necessary to encapsulate basic data into black boxes and support data interaction through parameters. Yes, data availability is provided.

The fourth is iteration. The parameters of the data black box may not be accurate. The model needs to be trained repeatedly and continuously iteratively upgraded to improve accuracy.

The fifth is scale. How capable and accurate the model can be depends on the scale of the data. The success of ChatGPT is the success of the violent aesthetics of big data. Therefore, for enterprises in the future, the market size will become core development strategy.

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