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Mohammed Rizvi has a robust background in the utility sector, having navigated a career path defined by academic excellence and a profound commitment to innovation. With over a decade of experience in enterprise data management and technical architecture, Mohammed has seen the utilities sector evolve in terms of digital tools and their application. His most significant achievement was a critical project focused on improving the quality and reliability of power outage notifications to customers. Currently, Mohammed is also working on independent research into the integration of Artificial Intelligence (AI) and Machine Learning (ML) in the energy domain.
