Suppose a scenario where a drone flies around a construction site. After a few minutes of aerial flight, your tablet shows several observations made by the drone. You learn that:
• There is a dark patch of earth in Section C, indicating waterlogging.
• Two of your diggers are underutilized.
• One of your laborers in Section A is not wearing his helmet.
Accessing these safety & quality insights is only possible when you invest in a contemporary technology like artificial intelligence (AI).
The construction industry has barely grown at an annual rate of 1% in the last few decades, while sectors like manufacturing and retail had a yearly growth rate of 3.6% and 2.8%, respectively. One of the primary reasons behind the poor performance of the construction industry is its failure to adapt to digital transformation, especially when compared to other industries. However, the advancements in AI can finally help this sector reach its full potential.
Construction firms can increase their success rate during the initial tender process by leveraging AI. AI brings a host of self-learning algorithms to the table – they evaluate previous projects' bids to identify what was done right and, most importantly, what caused failures. Over time, these algorithms can become accurate to a significant extent, taking the firm’s win rate to the next level. Similarly, they can predict scenarios where avoidance is a better approach.
For example, Dodge Data & Analytics is a construction analytics and market intelligence firm that relies on natural language processing (NLP) and machine learning to categorize and collect project data shared with customers. Their NLP system generates a confidence rating for each document. If a document is assigned a higher rating, it is sent to the relevant customers. Similarly, if there is a doubt over the document’s relevancy, a representative from Dodge Analytics joins in and makes the final decision.
AI can enrich database systems by notifying the engineers about the most effective construction methodology for the given site. For this purpose, the system goes through past projects (as far as 50 years) and pre-existing blueprints from the design and implementation states. It displays the right information at the right time, allowing the engineers to make key decisions with plenty of evidence.
Contractors deal with a deluge of information daily—RFIs (request for information), countless issues, and different design changes and schedule adjustments. Here, AI can provide assistive and predictive insights on what is important and actionable.
Civalgo empowers project teams to determine actionable high-risk elements in real-time and resolve issues regularly. This civil construction software reviews millions of data points—construction observations from the past to create a construction system that provides contextual recommendations based on past costs, delays, issues and so forth.
Do you want to implement AI in your construction firm? Reach out to us to create an effective digital construction strategy. Contact Us Here!
