){kind=logo}
Panel: Data management, AI, cybersecurity and asset managment
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
