Saudi Arabia Joins WEF Jobs Consortium

General view of Riyadh city in Riyadh, Saudi Arabia, May 7, 2020. REUTERS/Ahmed Yosri
General view of Riyadh city in Riyadh, Saudi Arabia, May 7, 2020. REUTERS/Ahmed Yosri
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Saudi Arabia Joins WEF Jobs Consortium

General view of Riyadh city in Riyadh, Saudi Arabia, May 7, 2020. REUTERS/Ahmed Yosri
General view of Riyadh city in Riyadh, Saudi Arabia, May 7, 2020. REUTERS/Ahmed Yosri

Saudi Arabia has joined the World Economic Forum’s (WEF) Jobs Consortium, it was announced at the organization’s 2023 Annual Meeting in Davos.

The Jobs Consortium is a coalition of CEOs, ministers, and other leaders with a common aim to promote a better future of work for all by enabling job creation and job transitions, the Saudi Press Agency said.

The community of leaders works to boost foresight on labor market trends, support high job quality and fair wages, and identify investments in key sectors leading to good job creation, SPA added.

The Kingdom’s membership in the Jobs Consortium aligns with Saudi Vision 2030 and its commitment to building a thriving, vibrant economy that creates new sectors, hundreds of thousands of new jobs, and cross-cutting innovation.

"People are the key driver of any successful transformation and the sustainability of its outcome. Everything we do is focused on empowering our people by equipping them with the evolving set of tools and skills, and creating the opportunities for them to capture, grow, and flourish," said Saudi Minister of Economy and Planning Faisal bin Fadhil Alibrahim.

Members of the Jobs Consortium met in Davos at the World Economic Forum Annual Meeting this week to exchange views and agree on priority areas for action to build a better future of work, SPA said.

In the coming months, members will develop case studies to showcase pathways to achieve the consortium’s vision. They will also seek to implement the vision through scaling country and industry-level action, it added.



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.