Total Value of Awarded Contracts in Saudi Arabia Reaches $12 Billion in Q1

Buildings are seen in Riyadh, Saudi Arabia. (File Photo: Reuters)
Buildings are seen in Riyadh, Saudi Arabia. (File Photo: Reuters)
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Total Value of Awarded Contracts in Saudi Arabia Reaches $12 Billion in Q1

Buildings are seen in Riyadh, Saudi Arabia. (File Photo: Reuters)
Buildings are seen in Riyadh, Saudi Arabia. (File Photo: Reuters)

The total value of awarded contracts across Saudi Arabia for Q1 in 2020 reached $12 billion, with a 28 percent quarter-on-quarter growth despite the repercussions of the coronavirus pandemic, according to a report by the US Saudi Business Council (USSBC).

The awarded contracts included numerous mega-projects across several sectors, with the military sector gaining $4 billion deals followed by oil and gas with $3 billion and petrochemicals ($2.2 billion).

These three sectors accounted for 76 percent of all awarded contracts alone, while the other contributing sectors included water, power, and real estate.

According to the report, it seems that Saudi Aramco is ready to continue awarding giant contracts in the oil and gas sector despite the impact of the COVID-19 on the economy.

Aramco goes ahead with its efforts to expand the Kingdom's capabilities in extracting hydrocarbons to meet local and global demand.

The experts also noted that the government capital spending during the first quarter of 2020 is a strong indicator of the strength of the construction sector.

When compared to the same period in 2019, the value of the contracts is down by 8 percent.

USSBC Member al-Baraa al-Wazir told Asharq Al-Awsat that the Kingdom began easing the measures imposed during the lockdown and opened shopping centers and resumed domestic flights as of the end of May.

Wazir indicated that these measures will lead to the gradual recovery of the economy, expecting Aramco to award a number of contracts in al-Ghawar southern field during the second quarter.

He also predicted that the Saudi National Water Company will award a major project contract in the industrial city of Jubail.



GAIN Summit in Riyadh to Showcase Global Experiences on AI Use in Supporting Business Leaders

GAIN Summit in Riyadh to Showcase Global Experiences on AI Use in Supporting Business Leaders
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GAIN Summit in Riyadh to Showcase Global Experiences on AI Use in Supporting Business Leaders

GAIN Summit in Riyadh to Showcase Global Experiences on AI Use in Supporting Business Leaders

The third edition of the Global AI (GAIN) Summit, organized by the Saudi Data and AI Authority (SDAIA) will be held in Riyadh on September 10-12.

The summit will showcase the global experiences in the field of artificial intelligence technologies, including those that focus on the importance of business leaders' understanding of rapidly developing AI technologies, and reflecting on how to increase production driven by strategic decision-making.

The deliberations of over 300 speakers, including experts, specialists, and decision-makers from 100 countries will present business leaders and those interested in the field of data and AI with promising options and opportunities to benefit from the technologies.

The speakers will deliberate on the most effective methods of utilizing AI to make strategic decisions, support responsible leadership, analyze the extent of the impact of AI on the growth of business activities and productivity, and motivate employees within an attractive work environment that meets the aspirations of business leaders.

The summit will underscore the importance of senior leaders and policymakers in making strategic decisions, determining the scope and directions of work, and achieving a competitive advantage for business. These decisions are guided by organizational policies, available resources, future plans, and other decisions based on AI.

According to a study by PricewaterhouseCoopers, productivity growth and improvement of manufacturing processes were five times faster when AI was used to adjust processes, identify shortcomings, and reduce waste and errors.

Predictive maintenance can also reduce downtime and speed up the pace of production, allowing the plant to increase production with the same or fewer inputs.