Practical Application of AI Technologies such as Machine Learning and Deep Learning

「We are also working to maximize productivity and profitability through the company-wide rollout and further acceleration of the use of generative AI.」

「ビジネスDX事業での試験的活用から全社展開へ 全社で安全に活用できる環境を整備完了」

「「AQUA AI HUB」は、フィジカルAIや生成AIなどを活用したYEデジタルの最先端AIサービスの育成・強化と現場実装を加速させるサービス実装拠点として、ITカスタマサービスセンター「Smart Service AQUA」内に整備する新たな拠点です。」

「The secure generative AI environment “AI-ChatBuddy” provided by the company now incorporates the latest large language model (LLM). The company also developed an AI agent capable of analyzing large-scale source code and design documents. This substantially reduced workloads in programming and testing and contributed to a significant increase in development productivity.」

「We have worked to improve productivity and profitability by making maximum use of the rapidly expanding generative AI in various operations, beginning with programming support in the development process.」

「We are working to improve productivity and profitability by making maximum use of generative AI, which is rapidly spreading worldwide, in various operations, including programming support during the development process and the preparation of meeting minutes.」

「In AI, we focused in fiscal 2023 on generative AI technology (Transformer technology), which had undergone rapid advances. We applied generative AI to in-house development projects, reducing development man-hours by 20%. We also developed generative AI incorporating knowledge search, began using it in call center operations, and achieved a 30% reduction in operator man-hours while improving quality. In addition, we developed an AI attendant combining generative AI, avatars and natural language processing, and began operating it in a customer tour room.」

「We also developed conveyor failure prediction technology that requires no external sensors and can even estimate the location of a failure, and applied it to the conveyor failure prediction service “MMPredict.”」

「New solutions for the livestock sector increased from the same period of the previous year despite the impact of overseas supply constraints and higher feed prices, while the smart logistics business increased through expanded sales of new solutions to the logistics industry, where demand continues to grow.」

「In the livestock sector, sales increased from the same period of the previous year despite delays caused by supply constraints, while the smart logistics business also grew through expanded sales of new solutions. Meanwhile, internet security-related products for the education sector and AI and IoT products for food processing declined.」

「In the AI and IoT business, the company will pursue full-scale sales growth for products newly launched in the livestock and logistics sectors in fiscal 2021, in addition to its existing products for the food processing and transportation sectors.」

「In AI-based predictive maintenance, the Company developed technology to identify abnormal components in logistics warehouse equipment and AI demand-forecasting technology for the social sector. Compared with conventional manual methods, the technology significantly improved forecasting accuracy.」

「By incorporating the latest AI algorithms, the AI image-inspection service MMEye can now be used in food manufacturing not only for foreign-object inspections but also for inspections under food labeling laws. The Company also expanded the MMEye lineup by launching MMEyeBOX, which allows users to conduct AI training and accuracy verification.」

「The company’s proprietary AI solution “Paradigm” has developed 2 advanced technologies. The first is semantic segmentation technology that analyzes images at the pixel level, enabling the detection of minute foreign objects mixed into food products. The second is an attention mechanism that addresses the black-box nature of deep learning, enabling a substantial improvement in image analysis accuracy and visualization of the basis for decisions.」

「Through the development of deep-learning-based image-inspection technology for its proprietary AI solution Paradigm, the Company made it possible to conduct image inspections involving colors, such as the degree of browning, which had previously been impossible. The technology can be applied to visual inspections of food products that previously relied on manual labor.」

「The Company evolved its proprietary AI technology and developed the AI solution Paradigm around 4 pillars: predictive maintenance, manufacturing quality, transfer of expert knowledge, and image inspection. In predictive maintenance, in particular, it enhanced the brand value of its AI by obtaining verification results at large-scale plants that surpassed those of other companies. In image inspection, it has begun verification of technology that replaces manual vehicle monitoring, food inspection, and other processes with AI.」

「The Company also began providing the AI-based predictive maintenance service MMPredict.」

「The Company is also actively working to increase orders in the IoT field, including by providing predictive maintenance services using big data and AI.」

「The Company is also actively working to increase orders in the IoT field, including by providing predictive maintenance services using big data and machine learning.」