GAC launches AI strategy to boost digital transformation
<p>DOHA: The General Authority of Customs (GAC) has launched its Artificial Intelligence Strategy for 2027-2030, aiming to enhance operational efficiency, improve decision-making and accelerate digital transformation across the customs sector.</p> <p>The strategy was launched in the presence of Chairman of the General Authority of Customs H E Ahmed bin Abdullah Al Jamal and a number of senior…
The General Authority of Customs (GAC) in Qatar has unveiled its Artificial Intelligence Strategy for 2027-2030, designed to enhance operational efficiency, improve decision-making, and accelerate digital transformation within the customs sector. The strategy was unveiled in the presence of key officials, including the Chairman of the General Authority of Customs, H.E. Ahmed bin Abdullah Al Jamal.
The announcement highlights the GAC's dedication to embracing advanced technologies and utilizing artificial intelligence applications to revamp the customs work system and bolster digital transformation. This new strategy aligns with Qatar's National Artificial Intelligence Strategy and the Government AI Programme initiated by the Ministry of Communications and Information Technology, ensuring it integrates seamlessly with broader national initiatives.
By fostering the exchange of expertise and leveraging cutting-edge technological solutions, the strategy aims to support Qatar National Vision 2030 and the country's Digital Agenda. The ultimate goal is to harness artificial intelligence to modernize customs operations, boost efficiency, and enhance the precision and effectiveness of decision-making processes.
This approach is expected to facilitate the delivery of smarter, more efficient services, positioning the authority to adapt to rapid technological advancements and solidify its role in government innovation and digital transformation.
Written by urgent.news from The Peninsula Qatar's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.