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Saudi Data, AI Authority (SDAIA) and Ministry of Energy Partner with IBM to Accelerate Sustainability Initiatives in Saudi Arabia Using AI

Saudi Data_ AI Authority (SDAIA) and Ministry of Energy Partner with IBM to Accelerate Sustainability Initiatives in Saudi Arabia Using AI

Saudi Data and Artificial Intelligence Authority and IBM announced  the signing of a strategic agreement to drive adoption of artificial intelligence in the carbon capture and industrial domains across the Kingdom of Saudi Arabia.

Announced at the second Global AI summit in the Kingdom, the first use case under this agreement will be in collaboration with the Ministry of Energy in Saudi Arabia. SDAIA, Ministry of Energy and IBM will use artificial intelligence technology to detect, map, and eventually reduce carbon emissions across the country.

Dr. Majid Al-Tuwaijri, the CEO for the National Center for AI, said, “This agreement with IBM will contribute to creating opportunities by addressing key challenges in circular carbon economy, petrochemical and industrial domains, through the development of innovative solutions in the field of data and artificial intelligence, and the exchange of shared experiences and investment opportunities in this vital area to support achieving the goals of Vision 2030.”

“This agreement would allow us to leverage IBM’s expertise in technologies like artificial intelligence,” Eng. Ahmed Al-Zahrani, Ministry of Energy’s Assistant Minister for Development and Excellence, said, “which will play a key role in promoting the adoption of the Circular Carbon Economy, achieving the goals announced during the Saudi Green Initiative.”

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The management of greenhouse gas emissions is critical to the Kingdom’s reaching its objective of net zero,” said Dina Abo-Onoq, Managing Partner, IBM Consulting Saudi Arabia. “Using multiple satellites and different types of imaging technologies, we will train an AI model to recognize and pinpoint different forms of gas across the entire country. By doing so, this will help with earlier and better visibility of the problem which has not been possible with conventional measurement approaches.”