Construction Industry AI Utilization Guide
Introduction costs and considerations from AI-OCR to estimation AI! Introducing the efficiency gained through the digitization of handwritten forms.
The construction industry is facing challenges such as labor shortages, aging workforce, and work style reforms, leading to a rapid increase in expectations for efficiency improvements and safety enhancements through AI implementation. This article specifically introduces examples such as Kajima Corporation's "Kajima ChatAI," Obayashi Corporation's "AiCorb," and NTT West Japan's AI-OCR implementation case. Furthermore, taking into account practical concerns such as the cost trends of estimation AI and the IT skills required for acquisition, we will organize practical decision-making points for managers and site supervisors of small and medium-sized construction companies (with 50 or fewer employees). *For detailed content of the article, please refer to the PDF document. For more information, feel free to contact us.*
basic information
*You can view the detailed content of the article in the PDF document. For more information, please feel free to contact us.*
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Applications/Examples of results
*You can view the detailed content of the article in the PDF document. For more information, please feel free to contact us.*
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Our company is engaged in HR tech business in the logistics and power safety sectors, as well as in promoting DX initiatives in the equipment management field. By leveraging technology and human capabilities, we aim to provide "valuable systems" to everyone involved in the infrastructure industry and continue to be a part of creating a bright future for Japan. Please feel free to contact us if you have any inquiries.
