Description
For years, digital twins have been presented as the ultimate goal of digital transformation. But today the conversation has evolved. The real value lies in creating a digital representation of an asset and enabling it to analyze, predict, and support better decisions via artificial intelligence. This session will explore how engineering models, BIM, reality capture, operational data, and AI combine to create intelligent digital ecosystems. We'll examine the evolution from traditional to AI-enabled digital twins. We'll discuss the role of foundation and domain-specific engineering models. And we'll explore how organizations can leverage existing digital assets to unlock new operational insights and automation. This session will provide a practical road map for those seeking to transform engineering and construction data into actionable intelligence. You'll leave with a clear understanding of how AI complements digital twins and how technologies can drive measurable business value throughout the asset lifecycle.Â
Key Learnings
- Learn how digital twins have evolved into AI-enabled decision platforms.
- Learn how to identify different types of models that contribute to intelligent built environments, including intelligent models, engineering models, and AI models.
- Learn about the data, governance, and interoperability requirements needed to enable trustworthy AI in AECO workflows.
- Learn how to develop a practical road map for introducing AI capabilities into existing digital twin initiatives.