Saudi Ports Authority, SAR Sign Agreement to Boost Maritime, Rail Connectivity

Saudi Ports Authority, SAR Sign Agreement to Boost Maritime, Rail Connectivity
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Saudi Ports Authority, SAR Sign Agreement to Boost Maritime, Rail Connectivity

Saudi Ports Authority, SAR Sign Agreement to Boost Maritime, Rail Connectivity

The Saudi Ports Authority (Mawani) and the Saudi Arabia Railways (SAR) inked an agreement to bolster maritime and rail transportation connectivity, reported the Saudi Press Agency on Tuesday.

This strategic alliance boosts the logistics at the industrial and commercial ports in the Kingdom, thus contributing significantly to the objectives outlined in the National Transport and Logistics Strategy (NTLS) and aligning with the goals of Saudi Vision 2030.

Mawani President Omar Hariri and SAR CEO Dr. Bashar bin Khaled Al-Malik signed the agreement at Mawani's headquarters in Riyadh.

The agreement will bolster the Kingdom's competitive edge and support trade by offering secure, sustainable transportation solutions that aim at reducing carbon emissions and improving the efficiency of logistical operations.

The initiative will contribute to solidifying Saudi Arabia's position as a leading global logistics hub effectively bridging three continents.

Mawani aspires to achieve seamless integration with SAR in container transport, bulk materials, and general cargo via rail to and from ports. SAR's extensive rail network, which connects major ports, such as King Abdulaziz Port in Dammam, King Fahd Industrial Port in Jubail, Jubail Commercial Port, and Ras Al-Khair Port, plays a crucial role in this integration.

The partnership will improve the quality of service offered to exporters and importers by introducing innovative logistics services that make exports and imports transported by rail more efficient, and provide solutions to customers' logistics challenges.

The agreement also aims to assess user satisfaction with rail services and logistics support, and identify and implement improvements. It also entails collaboration in planning and executing marketing campaigns to promote rail transportation.

The goal is to transform the Kingdom into a critical logistics corridor between the East and the West.



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.