Shortfall in Securing and Developing Talent with Advanced AI and IoT Skills
First written in FY2020. 1 of 3 entries say "Restated". Latest entry: FY2024.
The whole theme swung hardest in 2026: 34 of 108 companies on the "Worse" side.
- FY2024MitigatedAnnual report
「In PLM software development, we have actively invested in training engineers since the fiscal year before last and continue to make the acquisition of technical qualifications the Company's highest priority. We have also completed acquisitions of companies with electromagnetic-wave analysis skills, companies with digital-twin-related solutions, and companies with VR and gaming expertise, and are working to secure engineers capable of providing new solutions.」
In response to the risk of failing to secure and develop highly skilled personnel, the disclosure describes training investment and qualification acquisition, as well as completed acquisitions of technology companies in electromagnetic-wave analysis, digital twins, VR and gaming. - FY2022RestatedAnnual report
「In PLM software development, we have actively invested in training engineers since the fiscal year before last and continue to make the acquisition of technical qualifications the Company's highest priority. However, if we are unable to secure or adequately develop personnel, the quality of service projects, including development projects where business demand is increasing, could decline, affecting our business.」
The risk of failing to secure and develop personnel with skills in AI, IoT, cloud computing, deep learning and other fields, together with measures involving training investment and the acquisition of technical qualifications, continues to be disclosed. - FY2020First statedAnnual report
「As the use of AI, IoT, cloud computing, deep learning and other technologies gathers pace, recruiting personnel with the relevant skills has become an industry-wide challenge in the IT sector, and securing such personnel is not easy. In PLM software development, we have actively invested in training engineers since the previous fiscal year, but if we are unable to secure or adequately develop personnel, the quality of service projects, including development projects where business demand is increasing, could decline, affecting our business.」
The difficulty of recruiting personnel with skills in AI, IoT, cloud computing, deep learning and other fields, and the possibility of lower service quality due to insufficient recruitment and development, are newly identified explicitly.