Chanhi(燦希) Yasutomi(安富)

Kaggle Account

In the practical "Case Study Education Programme" of the "Manabi DX Quest" digital promotion human resources development programme organised by the Ministry of Economy, Trade and Industry (METI), participants engaged in the construction of AI models (PoC) and the preparation of presentation materials for their introduction. In the practical "Case Study Education Programme" of the "Manabi DX Quest" digital promotion human resources development programme organised by the Ministry of Economy, Trade and Industry, participants engaged in the construction of AI models (PoC) and the preparation of presentation materials for their introduction, learning a series of processes required for DX promotion. The Manavi DX Quest programme was designed to hone skills through practical problem-solving in the field of business, with the aim of realising DX in local companies and industries. The programme comprises a practical 'case study education programme' based on company data and a problem-solving 'on-site training programme' using digital technology in collaboration with local SMEs. Through the programme, participants, regardless of whether they have digital experience or not, can learn the concepts and processes of change to promote DX in companies and build connections with a wide range of like-minded digital human resources. In the second term of 2022 (19 November 2022 - 11 February 2023), students must work on the Case Study Education Programme and submit all of the following within the submission deadlines set for each assignment and each assessment Assignments (5 exercises from Exercise 01 to Exercise 05) Assessments of the assignments submitted by other students (max. 8) (1 time in Exercise 05) Outline of the "Case Study Education Programme" <Programme content> A PBL (Project-based Learning) style programme in which participants solve assigned problems by exchanging information, learning and teaching each other, rather than through classroom lectures by lecturers. Participants select one theme and learn the process of promoting DX and reforming the organisation in a single step, from business issues to change promotion design and presentation issues, during the 9-week PBL. Themes: man-hour forecasting (manufacturing), automatic quotation by drawing analysis of machining details (manufacturing), business improvement to reduce the shortage rate (manufacturing), business optimisation (construction and manufacturing). <Learning content> Through a simulated experience of an "AI implementation project for problem solving", participants will formulate a plan from the construction/evaluation of AI models to the implementation operation and deployment plan. Finally, experience the study approach towards company-wide DX transformation. ＜Issues to be addressed> Business issue: Define requirements for AI development and design a project to facilitate AI implementation, based on an understanding of on-site requests and industry-specific hurdles in response to real company issues. Requirements definition (Exercise 01) PoC planning (exercise 02) Digital challenge: AI model building and validation as one of the steps to be taken to solve the challenge. Model development (PoC) (Exercise 03) Transformation promotion design/presentation task: Develop a DX transformation roadmap and prepare a presentation based on the validation results. Discussion among participants on perspectives to be considered when promoting organisational transformation. Production implementation, operation and deployment plan (Exercise 04) Presentation to decision-makers (exercise 05) Fostering understanding for company-wide DX promotion (Exercise 06) Translated with www.DeepL.com/Translator (free version)