Saudi Arabia Signs $10.6 Bln Deal to Develop Local Infrastructure

Officials sign the agreement on Saturday. (Asharq Al-Awsat)
Officials sign the agreement on Saturday. (Asharq Al-Awsat)
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Saudi Arabia Signs $10.6 Bln Deal to Develop Local Infrastructure

Officials sign the agreement on Saturday. (Asharq Al-Awsat)
Officials sign the agreement on Saturday. (Asharq Al-Awsat)

Saudi Arabia will invest 40 billion riyals ($10.6 billion) in developing local infrastructure projects, announced the Ministry of Municipal and Rural Affairs and Housing.

Under the new agreement, nearly 90 million square meters will be allocated for the local infrastructure projects to provide over 150,000 housing units across 11 cities in an effort to accommodate around 750,000 people.

In addition, nearly 54 million square meters will be allocated for public areas, facilities, parks, road networks and public transport.

The agreement was signed on the sidelines of a housing exhibition organized by the Ministry of Municipal and Rural Affairs and Housing in Riyadh, under the patronage of Custodian of the Two Holy Mosques King Salman bin Abdulaziz.

The exhibition is set to run until September 28.

The deal was signed in the presence of Minister of Housing Majid al-Hogail, Minister of Tourism Ahmed bin Aqeel Al-Khateeb, Minister of Environment, Water and Agriculture Abdulrahman al-Fadley, and Minister of Transport and Logistics Services Saleh Al-Jasser.

The housing ministry was represented by Undersecretary for Real Estate Development Abdul Rahman bin Abdullah Al-Taweel, while the National Housing Company was represented by CEO of NHC Eng Mohammad bin Saleh Al-Bati.

The company is the leading enabler of the real estate development sector and the largest major developer of suburbs and residential communities, and aims to increase the real estate supply in the Kingdom with various housing options.

This comes as part of the company’s efforts to achieve the objectives of the housing program as part of the Kingdom’s Vision 2030, by raising the proportion of housing ownership for Saudi families to 70 percent.



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.