The other is it can also provide significant climate and energy insights. It can help to load balance grids and maintain or optimise grid infrastructure. We worked with a partner in India that saw a 25% reduction in controllable losses across 105,000 solar panels – that’s one use of our product Maximo.
CHRISTINA SHIM: I fundamentally believe that AI can future proof operations. My job is to help IBM and our partners to not just survive, but thrive over the long term. As part of that, AI can help to supercharge operations, especially those models that have strong fundamental data behind them.
The European supermarket chain Salling Group uses our flex platform, and that helps to balance their electricity consumption with the supply of green power in the grid. A carbon market provider called Quellia is using our geospatial data to track and verify forest and vegetation cover to quantify the impact of carbon capture projects.
We worked with the London Underground and they’re going to be saving $21m (US$26m) over a 10 year period by extending the life of their assets. This is through using AI for predictive maintenance and monitoring on the health of their physical infrastructure.
SUBHAGATA MUKHERJEE: AI is a powerful tool for advancing sustainability through predictive analysis. At Nokia, we’re focused on optimising energy consumption in telecommunications networks.
We have also worked with a property group that is saving US$20m a year and reducing their carbon emissions by 25% by consolidating all of their water and energy data into a single source of truth.
For instance, our AVA Energy Efficiency solution utilises AI to predict network traffic patterns, enabling dynamic adjustments that reduce energy usage without compromising network performance. This approach has led to significant reductions in CO₂ emissions and operational costs for many large telcos around the world.
The UAE government is using geospatial foundation models to identify urban heat islands and redesign them, alongside thinking through public policy in a way that was able to lower temperatures by 3°C in particular heat zones. That’s one way that AI can really help around sustainability.
Additionally, as more and more industrial enterprises are adopting wireless technologies and digitalisation, AI-driven predictive maintenance in industrial settings is allowing for the early detection of equipment
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