パナソニック ソリューションテクノロジー Company Profile

The quality demands surrounding the manufacturing industry are increasing year by year, and the quality assurance and quality control departments are required to make swift and reliable judgments more than ever before. On the other hand, many companies face challenges such as: - Past cases and procedures being scattered, making it difficult to quickly access necessary knowledge - The perspectives and grounds for judgment relying on the experience of the person in charge - Inquiries being concentrated on experienced personnel - Investigating similar cases from scratch each time - Results and reasons for judgments not being utilized for future improvements In this seminar, we will introduce the "Quality Knowledge Utilization AI" service, which leverages accumulated quality knowledge within the organization, such as quality regulations, procedures, past defect cases, audit records, and reports, to enhance on-site decision-making and establish a continuous system for quality improvement. This is not just a simple document search; AI will present decision-making materials and verification perspectives in line with quality business processes such as abnormal response, recurrence prevention, design quality enhancement, and audit response, supporting everything from reporting to sharing and improvement. This content is recommended for those considering the elimination of dependency in quality operations, standardization of quality judgments, and advancement of knowledge utilization.

Even engineers can do this. Patent research transformed by AI search × BI! In daily patent research, many face challenges such as: "I don't know how to create search queries or what appropriate keywords to use..." "There are too many results to read through, and I can't manage to analyze them..." "In the end, I end up relying on the IP department or specific experts..." These issues lead to prolonged research time and delayed decision-making... However, it is precisely because of their deep technical understanding that patent research conducted by "on-site engineers" is considered important. In this seminar, we will explain the entire process from research and analysis to R&D and strategic planning using PatentSQUARE, in a practical format from the engineer's perspective. We will first break through the "entrance to research" with AI search, resolve the bottleneck of "inability to analyze" with the IP BI dashboard, and achieve a seamless process without relying on other tools. ≪Recommended for≫ ● Those in research and development or technical departments ● Those considering new technology themes ● Those who want to improve research efficiency If you want to learn "research that leads to decision-making" rather than just searching, please feel free to join us. * On September 2 (Wednesday), we will be broadcasting an archive of the session held on August 27 (Thursday).