AI in "Engineering & Construction"
Artificial Intelligence focus on helping players overcome some of the Engineering & Construction industry’s greatest challenges, including cost and schedule overruns and safety concerns.
The construction industry has constantly evolved over the years in response to the rise in customer demand. The construction industry comes with a unique set of obstacles to overcome and many of these problems are not in their direct control. Management of materials and information flows are key strategic priorities for construction companies. Issues with safety on construction sites, a huge labor shortage, problems with employee productivity levels, and technological setbacks are just some of the major challenges the construction industry is facing today.
How can AI help?
In recent years, construction companies have increasingly started using AI in a range of ways to make construction more efficient and innovative. From optimizing work schedules to improving workplace safety to keeping a secure watch on construction facilities, AI in the construction industry is already proving its value.The potential applications of Machine Learning and AI in construction are vast. Requests for information, open issues, and change orders are standard in the industry. Machine learning is like a smart assistant that can scrutinize this mountain of data. It then alerts project managers about the critical things that need their attention. Several applications already use AI in this way.
Complex Data Management: At a time when a massive amount of data is being created every day, AI Systems are exposed to an endless amount of data to learn from and improve every day. Every job site becomes a potential data source for AI. This presents an opportunity for construction industry professionals and customers to analyze and benefit from the insights generated from the data with the help of AI and Machine Learning systems.
Project Planning: AI in constructional project planning is gaining incredible popularity. AI-powered tools analyze the existing project plans to make construction even better. A vast number of documents contain data on how people create new buildings, and tools analyze construction plans to train Machine Learning models.
Prevent Cost Overruns: Based on various factors such as job complexity, project size, used materials or contract type, AI can estimate approximate costs overruns according to similarities while developing previous projects. Moreover, Artificial Intelligence can calculate the overall costs, taking into account all problems and possible risks rely on the data from earlier projects.
Optimize Supply Chain: For engineering and construction companies, supply chain are in an increasingly tangible way. Tools powered by AI can predict problems and proactively direct automation to improve quality. Construction companies recognize the many advantages like meeting customer expectations and satisfying new demands. Decreasing infrastructure costs, increasing operational efficiency, and providing insights into supply-chain performance can improve the cost structure.
AI for Post Construction: Building managers can use AI long after the construction of a building is complete. Building information modeling, or BIM, stores information about the structure of the building. AI can be used to monitor developing problems and even offers solutions to prevent problems.
Why choose us?
About 7 percent of the world's labor force is employed in the construction industry, so it is a major sector of the world economy. Individuals and businesses spend $10 trillion per year on construction-related activities (McKinsey, 2017). Other sectors have used AI and other technologies to transform their productivity performance. Construction, in comparison, has progressed at a glacial pace.
We at RadomeTech believe AI is crucial for every business entity. Thus we have a developed a tool which lets the user have the power of Artificial Intelligence and Machine Learning !