Initiatives and Challenges for Social Implementation of AI Technology: Learning from AIST's AI projects (Japanese)
Currently, many companies and universities are engaged in research and development of artificial intelligence (AI) technology, Internet of Things (IoT), sensing technology, etc. In the service and manufacturing sectors for companies ranging from small to large sized, there is more incentive to gather big data to utilize AI technology. Against this backdrop, the Ministry of Economy, Trade and Industry is conducting a wide variety of projects such as industrial development, support for small and medium enterprises, and regional creation projects in order to improve each field's productivity by using these technologies. However, the challenge is to gain insights on what kinds of efforts and suitable environments are needed to succeed and continue in the projects. In this paper, we review 28 projects conducted by the National Institute of Advanced Industrial Science and Technology (AIST) according to our internal classification table. Through our analysis, we clarify the points to notice when implementing AI technology in companies and local governments.
|Date of creation:||Mar 2017|
|Contact details of provider:|| Postal: 11th floor, Annex, Ministry of Economy, Trade and Industry (METI) 1-3-1, Kasumigaseki Chiyoda-ku, Tokyo, 100-8901|
Web page: http://www.rieti.go.jp/
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:eti:rpdpjp:17012. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (KUMAGAI, Akiko)
If references are entirely missing, you can add them using this form.