UAE, Kenya Sign Investment MoU on Mining, Technology Sectors

The UAE and Kenya signed a memorandum of understanding, setting the stage for investment collaboration in mining and technology sectors. WAM
The UAE and Kenya signed a memorandum of understanding, setting the stage for investment collaboration in mining and technology sectors. WAM
TT

UAE, Kenya Sign Investment MoU on Mining, Technology Sectors

The UAE and Kenya signed a memorandum of understanding, setting the stage for investment collaboration in mining and technology sectors. WAM
The UAE and Kenya signed a memorandum of understanding, setting the stage for investment collaboration in mining and technology sectors. WAM

UAE’s Ministry of Investment and the Kenyan Ministry of Finance and National Treasury have signed a memorandum of understanding, setting the stage for collaboration in mining and technology sectors, Emirates News Agency (WAM) reported.

The Abu Dhabi-based investment and holding company, ADQ, also announced on Wednesday a finance framework agreement with Kenya’s ministry, facilitating investments in priority sectors of the Kenyan economy, with a potential investment sum of up to $500 million, WAM said.

Kenya’s mining sector boasts significant growth potential owing to its abundant reserves of gold, copper, ilmenite, tantalum, and various non-metallic minerals.

The MoU focuses on mineral exploration, mine development, mineral processing, refining, and mineral marketing in Kenya. One of the key objectives is to explore opportunities for technology transfer in Kenya’s mineral sector, that would support innovation and growth. The two countries will also assess avenues for collaboration in promoting responsible stewardship of the mineral sector, with a strong emphasis on environmental, social, and governance practices, in addition to exploring avenues for collaboration in research and development within the designated sectors.

Minister of Investment of the UAE Mohamed Hassan Alsuwaidi said: “Through this partnership, we are laying down the foundation for a future where sustainable mining practices, innovation, and responsible stewardship form the pillars of our mutual growth.”

“We are committed to leveraging technology to enhance capacities and establish robust governance practices that will not only propel the mineral sector but also ensure overall prosperity of our nations.”



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
TT

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.