Find manufacturing AI, DX, and security at a glance in this knowledge hub
This page organizes articles on business use of generative AI, DX promotion, security measures, audit logs, and data governance so you can quickly access the information you need.
AI Use Areas
Quality inspection, predictive maintenance, and knowledge search
DX Promotion
Operational efficiency, reduced dependency on individuals, and data integration
Security
Permission management, audit logs, and information leakage prevention
Featured Articles
Recommended Articles
You can move to each detail page from the cards. This page shows only summaries to keep the overall page lightweight.
Manufacturing generative AI security
Complete Generative AI Security Guide for Manufacturing
A guide to the security requirements to check when introducing generative AI, including protection of design and customer information, permission management, audit logs, and the importance of on-premises architecture.
Manufacturing DX AI utilization
Manufacturing DX Guide
A guide covering DX promotion in manufacturing, AI utilization, use of on-site data, operational efficiency, and ways to strengthen competitiveness.
AI security governance
CLAVI Mining Security
A guide to the requirements needed for safe AI utilization, including measures against generative AI hallucinations, prevention of information leakage, audit logs, and AI data governance.
Knowledge Overview
Key Points for Manufacturing AI, DX, and Security
Important points are organized as easy-to-read cards by theme instead of long text. When you find a topic you want to read, move to the detail page from the article cards above.
AI Use Cases Gaining Attention in Manufacturing
AI adoption is expanding around operational efficiency, quality improvement, and knowledge sharing, including generative AI and image recognition AI.
Equipment Anomaly Detection and Predictive Maintenance
Uses sensor data and operation logs to detect equipment stoppages and failure risks at an early stage.
Visual Inspection with Image Recognition
Uses AI to judge scratches, stains, and defects in products, supporting automated quality control.
Automatic Generation of Reports and Procedures
Improves the efficiency of creating reports and manuals from work records and inspection results.
Knowledge Search for Manufacturing Sites
Searches internal documents and past trouble cases to support faster on-site decisions.
Internal Inquiry AI Chat
AI answers questions about rules, procedures, and FAQs, reducing the burden on administrative teams and on-site staff.
Process Analysis and Data Visualization
Analyzes production data to make bottlenecks and improvement points easier to identify.
Expected Improvements from DX Promotion
Through AI and data utilization, companies can reduce dependency on individuals, improve operational efficiency, and accelerate decision-making.
Reduced Work Time
Automates manual input, checking, and document creation to reduce work time for on-site and administrative teams.
Reduced Quality Variation
Standardizes inspection criteria and judgment rules to reduce differences caused by individual operators.
Sharing Personalized Know-how
Turns expert knowledge and past cases into data that can be used across the whole organization.
Faster Decision-Making
Visualizes on-site data so executives and managers can quickly understand the situation.
Integrated Information Across Sites
Integrates information from factories, departments, and locations to make cross-functional management easier.
Stronger Competitiveness
Enhances overall competitiveness through productivity improvement, quality improvement, and cost optimization.
Important Security Measures When Introducing AI
When using generative AI for business, it is important to design measures for information leakage, incorrect answers, permission management, and audits in advance.
Protection of Design and Customer Information
Establishes mechanisms to prevent highly confidential data from being carelessly sent to external AI services.
Access Permission Management
Controls information visibility appropriately based on department, role, and work scope.
Audit Log Storage
Records who accessed which information and when, preparing for internal and external audits.
Hallucination Prevention
Clarifies AI answer evidence, sources, and approval flows to reduce business risks caused by incorrect answers.
On-premises and Cloud Policy
Considers on-premises, cloud, or hybrid architectures according to the importance of the data handled.
Compliance Support
Establishes AI usage rules aligned with laws, internal regulations, and customer requirements.
CLAVI Contents
What You Can Check with CLAVI
This page summarizes the topics needed for manufacturing, from pre-AI introduction planning to operation, security, and knowledge management.