Sheikh Mohammed honours winners of UAE AI Award

Sheikh Mohammed honours winners of UAE AI Award

 

Sheikh Mohammed honours winners of UAE AI Award

His Highness Sheikh Mohammed Bin Rashid Al Maktoum, Vice President, Prime Minister and Ruler of Dubai, in the presence of His Highness Sheikh Mansour Bin Zayed Al Nahyan, Vice President, Deputy Prime Minister and Chairman of the Presidential Court, honoured winners of the UAE AI Award in a ceremony held in Abu Dhabi during the UAE Government Annual Meeting 2024.

Sheikh Mohammed said, "Artificial Intelligence will radically change business and the delivery of public services, and we are determined to be at the forefront among countries adopting AI tools to accelerate government work."

Launched last March by the UAE Council for Artificial Intelligence and Blockchain, the UAE AI Award seeks to inspire federal, local, and semi-government entities to embrace advanced AI applications. It aims to establish a national benchmark for AI utilisation and foster groundbreaking solutions that envision a future driven by digital innovation, collaboration, and enhanced creative competitiveness.

The Ministry of Foreign Affairs won the Service Excellence category award for its groundbreaking Smart Mission project - AI-driven consulate services that require no human intervention. The Smart Mission project, a first of its kind, was launched at the UAE Embassy in South Korea, with five additional missions set to open over the next six months.

DP World received an award in the Operational Efficiency category for its 'Tanbeeh' platform - an advanced, AI-powered solution developed by Emirati talent that provides four core capabilities to boost readiness in the face of various challenges faced by swift response teams. 

Key features include: detection of fires within five seconds by processing over 500 hours of surveillance footage from cameras across Jebel Ali, proactively monitoring compliance with personal safety protocols, enabling seamless site access with up to 99 percent accuracy through facial recognition technology, and analysing traffic patterns to predict and avoid congestion with up to 90 percent accuracy.



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