AI accelerates digital twin adoption by addressing three key barriers: it integrates siloed and incomplete data from multiple sources into unified digital twins, enables interactive problem-solving through natural language queries to reduce dashboard fatigue, and drives autonomous action through agents that adjust control systems to optimize energy efficiency and environmental comfort.
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AI will accelerate digital twin adoptionAñadido:
AI will accelerate the adoption of digital twins and increase the value they deliver in three ways. First, if we think about all of the challenges around siloed data and disconnected and incomplete data, it can help complete that data by pulling information from various sources, combining that data, and creating all of the data that you need in one digital twin. Second, if we think about the experiences people have a ton of dashboard fatigue today. You'll be able to ask questions and let the digital twin use the data to surface solutions to those problems. And finally, if we think about real value in digital twins, it's not in having the data, it's in letting the data drive action. So, the idea of driving autonomous action through agents and being able to take that data and adjust that control system, saving energy and producing a more comfortable environment for everyone.
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