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10/22/24, 10:59 AM          Emergencies Crises and Disasters Management Centre Abu Dhabi signs MoU with Space42 at GITEX 2024




























        The MoU was signed by H.E. Dr. Abdulla Rashid Hamarain Al Dhaheri, Executive Director of

        the Response and Recovery Sector at the ADCMC, and Abdulla Al Shamsi, Chief Operating

        Officer, Bayanat Smart Solutions, Space42. The agreement primarily aims to improve

        ADCMC’s AI-powered data collection and analysis systems, with a focus on surveillance,
        prevention, preparedness, response, recovery, and education. The goal is to provide ADCMC

        employees with the required skills to analyse data, use digital platforms, and advance AI

        technologies, while also fostering teamwork in organising informative workshops,

        conferences, and orientation meetings.



        H.E. Dr. Abdulla Rashid Hamarain Al Dhaheri, Executive Director of the Response and

        Recovery Sector at the ADCMC, said, “The latest agreement is a component of the ADCMC's
        strategy to improve civil protection and safety in the Emirate. Along with strengthening our

        crisis and disaster management capabilities, it aligns with our strategic goals of encouraging

        collaboration between public and private organisations in Abu Dhabi. We are confident that

        this collaboration will strengthen ADCMC's readiness for future challenges by leveraging
        Space42’s vast expertise in data analysis and AI.”




        “This collaboration is also evidence of the Centre's commitment to upholding the highest

        standards for safety and civil protection, while empowering the Emirate to effectively and
        efficiently handle challenges of the future. The partnership will also provide us with advanced

        data analysis capabilities, allowing the Centre to better predict crises and assess their risks by

        integrating advanced digital and artificial intelligence technologies into our system. This will
        help develop smart early warning systems, automate several repetitive tasks, and analyse


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