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Panel: Data management, AI and retrofit
This panel explores how asset, operational, and environmental data can be transformed into actionable insight across the retrofit lifecycle, from early diagnosis to post-occupancy optimisation.
Including:
- How AI and advanced analytics can turn fragmented datasets into clear, decision-ready retrofit strategies
- Using machine learning to predict performance, model scenarios, and optimise interventions
- Prioritising action at portfolio scale by identifying where retrofit delivers the greatest impact
- Leveraging real-time data and predictive analytics to optimise performance and inform ongoing asset management
- Overcoming challenges around data quality trust to scale data-driven retrofit approaches
