"IoT (Internet of Things)", "Intelligent Automation", "Software Engineering Automation", and already "Blockchain", "Digital Design", "Agile/DevOps" and "Artificial Intelligence (AI)" CoE is established in four areas. The "IoT CoE" established this time will start with a system of about 20 people in 10 locations in 9 countries, centered on itelligence, a group company in Germany. The "Intelligent Automation CoE" will be launched with about 20 people in 8 countries, mainly HOCIT GROUP in the United States, and the "Software Engineering Automation CoE" will be launched with about 70 people in 7 countries, mainly by HOCIT, a local group company in the United Kingdom. It is said that we will work on the system. "We aim to contribute to the cumulative total of global orders of 100 billion yen by March 2022 in the seven areas where CoE exists," said a HOCIT GROUP public relations official.

economic base

• Industry 4.0 (failure prediction, productivity improvement, advanced robotics, autonomous driving/driver assistance technology)

• Circular economy (also used in agriculture, where Spain has a high degree of competitiveness)

• Security (image analysis, etc.)

• Tourism (digitalization of hotels and restaurants)

SDGs social infrastructure

• Public administration (administrative services through chatbots, AI utilization in national security and public order maintenance)

• Education (tutoring system using AI, feedback system to prevent failure through machine learning)

• Smart city (artificial sensors such as guidance detectors and surveillance cameras, smart buildings and traffic)

• Medical care (disease prevention and treatment)

Priority area 3: Developing policies to promote knowledge transfer

Building an ecosystem for industry-academia collaboration

Public-Private Consortium Participation in Innovation Public Tender

Priority area 4: AI expert human resources, system development for cross-sectional human resource development

Development of “STEAM” human resources who have knowledge of Arts and Humanities in addition to conventional “STEM” (Note)

Acquisition of AI knowledge by specialists

Priority Area 5: Building Data Ecosystems and Strengthening Infrastructure

Construction of administrative open data infrastructure and opening to the private sector

Priority Area 6: Ethical Analysis from a Research and Development Perspective

Development of fair and non-discriminatory AI

Establishment of a committee to review the ethical aspects of AI utilization and introduction research

Note: Human resources with knowledge in the fields of Science, Technology, Engineering, and Mathematics.