Today, there is a demand for wisdom and skills to use computerized environments well. Some countries are responding to this demand as national strategies. The United Arab Emirates (UAE) has announced that it will start education on the use of AI from kindergarten. The UAE government has announced a plan to start AI education from kindergarten. In kindergarten, educational activities that allow children to experience digital technology through play and other activities will be the main focus. The UAE government has included it as a subject in the curriculum of public schools up to high school. By including it from an early stage of primary education, the aim is to give children knowledge and interest in A1. Ultimately, all public school graduates will acquire basic knowledge of AI and develop the ability to use it in daily life.
DX is essential in all fields of industry to improve productivity. For example, Daikin Industries is known as a company that is growing rapidly. Daikin Industries has established the “Daikin Information Technology University” within the company and has begun to develop its own DX talent. The air conditioning systems that are the main product of this company also require control that takes into account individual needs and the environment. DX employees who can digitally connect with customers and use the data they obtain to improve products and services are needed. When the university was established in 2017, there were only 93 IT engineers, which was 1% of the employees. The university has trained 1500 IT engineers, which was only 93, which was 1% of the employees. In the long run, mathematics and statistics will also be the foundation of economic growth. If you understand mathematics, you can keep up with new technologies that will emerge in the future. We are in an era where knowledge of mathematics and statistics is essential to interpret and use data. We are in an era that we are required to improve our science and mathematics skills.
Generally, AI engineers need levels 1 to 3. Level 1 is about the potential and limitations of AI, its strengths and weaknesses, and how to actually use AI. Level 2 is about how to use AI algorithms, and level 3 is about how to create AI algorithms. People who use level 1 do not need to understand the AI algorithms that are the mechanism of AI. This is easy to understand if you compare it to someone going to get a driver’s license. The purpose of attending a driving school is to be able to drive a car, not to learn how a car works. People are required to have the skills to use AI according to the problem. At level 1, it is possible to learn even from kindergarten. However, at levels 2 and 3, the difficulty increases. It seems that the challenge for the future will be to train human resources at this level.
