Since the 2010s, the use of AI technology for large-scale data has been greatly promoted in the web and financial domains through companies like Google and Apple, trading operations at securities companies, and credit evaluation and risk management at banks. These industries are characterized by the fact that they have already accumulated a vast amount of digital data and have established standardized operations using IT systems.
In order to utilize AI technology in more "physical" domains such as manufacturing, distribution, and energy, it is important to build a foundation for data accumulation and standardization of operations, which are expected to take several years from the start of studies to implementation. In fact, most of the current applications of AI technology in the area of social infrastructure are still in the research and development stage or the technology verification stage. However, as social issues in Japan such as the aging of public infrastructure and the decline in the working population become more serious, the social implementation of AI is expected to progress steadily.
Keywords for the use of AI in the social infrastructure domain
In this publication, we introduce some of the trends in the future use of AI in the social infrastructure domain, using the following four industries as examples. Japan is quickly facing issues unique to developed countries such as a declining workforce and aging facilities, so there is great potential for the AI developed here to be sold overseas in the future.
