The first area, business use, is where the market has the greatest hopes for generative AI. In this area, AI can be used to work with internal documents within organizations, to facilitate the processing of customer requests and to assist in the creation of office documents.
In the second area, multimodal applications, generative AI is envisioned to be used in production, manufacturing, maintenance, inspection, etc. Construction sites use a wide range of data, from documents such as work manuals, daily work reports, inspection reports, and failure reports to image and video data taken on site, audio data containing worker reports or notifications, sensor data, system log data, worker activity data, and various other types of data. Combining different types of data and processing them with generative AI will help analyze and assess site conditions, alert on hazardous activities, issue work instructions, help transfer skills to new generations of workers, etc.
For the third area, improving the efficiency of design and development operations, generative AI can be applied to the massive amounts of design documentation, drawings, regulations, program codes, etc., that businesses accumulate over time. Our goal is to apply generative AI to help automatically generate program code, increase the efficiency of design and development work by applying unique know-how in the industry and business category, to help read and interpret program code for legacy assets and facilitate migration.
We will apply generative AI to existing solutions in these three areas, helping to accelerate our customers’ digital transformation (DX) efforts.
