Pro Manual! What can AI do? Reforming the production site towards DX (Digital Transformation).

Companies are required to promote DX (Digital Transformation) as a "transformation" in the midst of significant environmental changes. The activities of the manufacturing industry are based on "people," "organizations," "unique technologies," and "production systems," but ultimately, it is "people" who determine quality. Companies need to strengthen these elements, differentiate themselves from competitors, and ensure their survival. Differentiation cannot be achieved through factory equipment or machine performance. 1. Overview of DX 1.1 What is DX? 1.2 What is DX in manufacturing? 1.3 Differences between improvement activities, IT implementation, and DX 1.4 New improvement activities to promote DX 2. Case Studies of DX Implementation 2.1 Essential digital technologies for DX 2.2 AI and robotics technology 2.3 IoT and data collection mechanisms 2.4 Data analysis and utilization methods 2.5 IT technologies for administrative departments 2.6 Solving familiar issues with digital technology 2.7 Skills required for engineers 3. Implementation of DX Strategy 3.1 Building foundational strength to withstand environmental changes 3.2 Two directions for DX in order processing and production companies 3.3 Creating customer value 3.4 Human resource development for promoting DX 3.5 Transforming from order-based production organizations to customer development organizations

There is significant attention being drawn to conversational AI with high language processing capabilities, such as ChatGPT and Bing AI. Utilizing this conversational AI in businesses can generate many benefits, including improved operational efficiency and increased productivity. ■ What specific tasks can be leveraged to enhance productivity? Here are some examples from my own experience: (1) Document creation, such as proposals and plans (2) Translation (3) Creation of manuals and work procedures (4) Customer complaint management (5) What is prompt engineering that draws out the capabilities of AI? ■ Now, how can we further apply this to advanced operations in the manufacturing industry? Let's consider this. Through discussions with Google Bard, it becomes clear that there are many hidden capabilities. I have summarized the results in an article, which I will publish as is, but it is necessary to verify whether these can actually be implemented. (1) Monitoring machine conditions with sensors for preventive maintenance (2) Creating production plans for factories using conversational AI (3) What is Microsoft 365 Copilot? (4) New features being developed for Google Bard that are deepening its capabilities.