アンタス Company Overview

To construction and civil engineering companies looking for the "next" step in digitalization. This seminar will explain the currently trending topic of "AI utilization" in 45 minutes. We will clearly introduce the latest trends, specific case studies, and steps for implementation to address questions such as "What can AI do?" and "How can it be applied to our business?" Whether you are a company already advancing DX or one considering AI for the future, you will find hints for improving operational efficiency. 【Schedule】 1: Company introduction and speaker introduction 2: Case studies of AI utilization in the construction and civil engineering industry 3: Understanding through examples! Patterns of AI utilization in construction operations 4: Three steps to avoid failure in AI implementation 5: Q&A and closing remarks

The construction and civil engineering industry is facing a serious labor shortage and an aging veteran workforce. Particularly, the "drawing review" tasks that require high levels of expertise are challenged by the concentration of work among specific employees and delays in the transmission of skills. This seminar will clearly explain specific know-how to prevent mistakes and significantly reduce the time required for drawing review tasks, even with limited personnel, as well as how to effectively utilize the latest digital tools. It is a must-attend for managers and executives struggling with excessive workloads! 【Schedule】 1: Company introduction and instructor introduction 2: Real challenges of "labor shortage" and "drawing review tasks" in construction and civil engineering * Based on issues from previous customers 3: Moving away from dependence on individuals! Three steps to streamline and standardize drawing reviews 4: Introduction of successful case studies and specific solutions proposed by Antas 5: Q&A session and closing remarks

We will address the issue of young employees who, despite joining the company, leave due to reasons such as "there's no time to be taught," "I don't understand when I'm told to learn by watching," and "what is written and said varies depending on the project or person in charge." We propose a system that accumulates the know-how of veterans in AI and systems, allowing young employees to search for and solve problems on their own. 【Schedule】 1: Company introduction and instructor introduction 2: Reasons why technical inheritance is not progressing (lack of time, difficulty in verbalizing) 3: "Next-generation manual and know-how sharing methods" utilizing video and AI search 4: Examples of system construction to institutionalize technical inheritance 5: Q&A and closing remarks