About Session
In recent years, the spotlight in artificial intelligence has predominantly focused on the capabilities of generative AI. However, an equally transformative but less discussed area is the application of prescriptive AI and AI vision, especially within the construction industry.
This presentation will explore three distinct case studies where AI is being innovatively used to not only predict but also prescribe solutions in building processes. Two of these models leverage historical data to predict the lifespan of critical construction materials—concrete and wood—and to suggest prescriptive measures. These predictions are crucial as they directly influence maintenance, thereby extending the durability and usability of these essential construction materials. The third case study shifts focus to AI vision, a powerful tool being used for the detection of mold on building materials. Each of these cases illustrates not only the potential of AI in enhancing construction practices but also the challenges involved in developing these technologies from simple models to practical, everyday tools. The transition from a conceptual model to real-world application requires overcoming numerous hurdles, including data acquisition, model accuracy, and integration into existing workflows. Our presentation will not only highlight these opportunities and challenges but also stress the importance of advancing AI technologies in construction — a field ripe for innovation and improvement. We aim to demonstrate how prescriptive AI and AI vision can lead to more efficient construction practices and better sustainable construction.
