Cross-Sectoral Collaboration for Climate Action Utilizing Cloud Analytics and Artificial Intelligence
Abstract
This research examines the impact of blending cross-sector collaboration on climate action with the application of cloud analytics and artificial intelligence (AI) technologies. Here, we present a model for real-time climate and policy coordination monitoring, as well as predictive analytics for the energy, transportation, and agricultural sectors within a collaborative cloud environment. The model features cloud-based data sharing, federated learning, and artificial intelligence (AI) at the specific sector level. Results indicate more efficient emission monitoring, cross-agency coordination, and insight generation. This research demonstrates the potential of cloud-AI ecosystems to drive climate policy alignment, coherence, and resilience across sectors.
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