All big tech firms nowadays talk about AI. Do you think that the era of all human activities associated with AI is coming?

A study by IBM Institute for Business Value (IBV) found that 46 percent of investments in generative AI in ASEAN serve the purpose of testing and experimenting, while 27 percent aim at increasing efficiency and saving costs.

We have found that generative AI has been creating significant impacts when it is applied in institutions operating in many different fields. As for customer care services, personalized journeys created by generative AI can adjust experiences and define the most appropriate action to interact with every client.

For example, a financial service firm can use generative AI to quickly analyze data about clients. After determining target customers, generative AI can help design direct and personalized marketing strategies with preferences fine tuned and automated, and translated to the languages clients want.

Generative AI also can be used to improve productivity.  When automating tasks, workers can gather strength on more important work, thus increasing productivity. If so, workers can come up with initiatives that create differentiation. By applying generative AI in the personnel division, IBM found that productivity improved by 40 percent.

The combination between generative AI and app modernization also can promote flexibility and increase revenue. With generative AI, businesses can use resources more effectively with automation and optimization. 

All these things are not intended to replace humans. In fact, businesses need to develop relations between humans and technology. The workers who can use AI will gradually replace those who cannot use AI. 

Could you please tell us how AI will perform in work and production activities?

Though it is still in the early development stage, generative AI can provide manufacturers with optimization capability in production, product quality, effectiveness, labor safety and compliance with regulations.

Generative AI can operate with other AI models to increase accuracy and performance, such as the image enhancement to improve the quality assessment of the computer vision model and mitigate misidentification errors.

For example, generative AI is used to authenticate education activities. Recent experiments show that generative AI can reduce 30 percent of time needed for training and increase 25 percent of fulfillments. 

In production, generative AI is used to assess SOPs (Standard Operating Procedures). Quick reactions, plus support in images and sounds by generative AI can improve operation efficiency by 15 percent and increase customers’ problem settlement to 90 percent.

Many manufacturing industries now use AI and computer vision to control quality, improving the capability of detecting errors by 80 percent compared with other methods.

In the future, the use of generative AI will help businesses maintain regulation compliance. Generative AI can reduce 25 percent of fines and improve compliance by 60 percent by using real-time text access and voice queries to support users.

How has AI development and application in Vietnam been going in recent years and what still needs improvement?

According to Oxford Insights, six ASEAN countries, namely Singapore, Malaysia, Thailand, Indonesia, Vietnam and the Philippines, all have government AI Readiness Indexes higher than the global average index. East Asia ranked the highest in AI readiness level in 2023.

However, in the world, where generative AI is the factor which determines the gainers and losers, human resources prove to be the decisive factor. IBV found that 62 percent of CEOs in ASEAN believe that the results of generative AI application will heavily depend on human acceptance, rather than technology.

Forty-seven percent of CEOs in ASEAN said they are seeking workers for new posts related to generative AI and 51 percent said they are meeting difficulties in recruiting key positions. They admitted that 35 percent of workers will need retraining in the next three years.

In recent years, Vietnam has been aware of the challenge about the lack of AI workers. In the context of the low number of domestic AI experts, getting ready, equiping and improving skills for the workforce will help Vietnam reap economic benefits. Vietnam’s businesses need to take prompt action to assess the impact of the technology on the labor force.

Trong Dat