AI & Data Transformation in Construction 2026

Opis

Najważniejsze punkty

Defining strategic priorities and objectives for AI and data adoption in construction. Understanding the pitfalls of AI in construction: common errors, risks, and how to avoid them. Addressing skills shortages, generational transitions, recruitment struggles, and the urgent need for workforce training and development. Exploring the integration of AI and data-driven solutions to enhance productivity and decision-making in the construction industry. Discussing challenges such as fragmented data ecosystems, legacy system integration issues, and a shortage of skilled personnel in AI adoption. Sharing strategies and real-world experiences on automating processes, mitigating risks, and effectively managing resources through AI. Providing a platform for data, AI/ML, IT, and construction technology specialists to collaborate and share insights. Offering a variety of collaborative session formats to increase interactivity and ensure maximum learning. Highlighting the importance of a comprehensive data transformation strategy for successful AI adoption in construction. Emphasizing the need for strong data strategies, practical AI adoption, and collaboration between construction and technology experts.