AI and SAP for Climate-Resilient Environmental Engineering
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Abstract
The convergence of Artificial Intelligence (AI) and SAP enterprise platforms presents a transformative paradigm for addressing climate change and environmental degradation. This paper investigates the synergistic application of machine learning, deep learning, and predictive analytics within SAP’s ERP and cloud ecosystems to enhance climate resilience in environmental engineering domains. We examine use cases spanning flood risk modeling, carbon footprint tracking, sustainable supply chain optimization, and real-time environmental monitoring. Through a systematic review of 42 case studies and simulation-based experiments, we demonstrate that AI-SAP integrated frameworks achieve up to 38% improvement in predictive accuracy for climate hazards and reduce carbon reporting overhead by 61% compared to conventional approaches. Our findings support the adoption of AI-augmented SAP solutions as strategic infrastructure for the next generation of climate-resilient engineering operations.
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