Vision 2030 Requires a Qualification Shift in Saudi Workforce

Mercer Saudi Arabia CEO Mahmoud Ghazi | Asharq Al-Awsat
Mercer Saudi Arabia CEO Mahmoud Ghazi | Asharq Al-Awsat
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Vision 2030 Requires a Qualification Shift in Saudi Workforce

Mercer Saudi Arabia CEO Mahmoud Ghazi | Asharq Al-Awsat
Mercer Saudi Arabia CEO Mahmoud Ghazi | Asharq Al-Awsat

Global consultancy firms stress that initiatives, projects, and strategies recently announced by Saudi Crown Prince Mohammed bin Salman require that operating sectors in the Kingdom develop several key features.

Meeting under the arch of a national transformation plan, dubbed Vision 2030, projects like “The Line,” initiatives like the “Red Sea Project” and strategies like the “Riyadh Strategy,” demand Saudi industries start a new development phase for fundamental aspects such as human capital, performance assessment, and digital transformation.

It is vital that authorities in both public and private sectors seek to engage in the transformations needed to realize the Kingdom’s aspirations, Mercer Saudi Arabia CEO Mahmoud Ghazi told Asharq Al-Awsat.

According to Ghazi, the desired levels of administrative and operational change have also expanded under the new reality imposed by the coronavirus pandemic.

He recommended shifting focus to optimizing internal plans and strategies and setting clear goals that work in concert with the rapid changes needed help along with a transformation in the Saudi economy.

Ghazi also pointed out the importance of raising the efficiency of human capital to meet foreseeable changes at the level of plans in the Kingdom.

Training and qualification programs and courses for stepping up performance must be administered across all departments and even include boards of directors and technicians.

The Mercer CEO added that it is also necessary to measure performance and production standards in administrative work. This will help enhance the efficacy of motivation, reward, assessment, control, and progress.

Other than identifying and filling existing gaps, improved performance and quality control will help sectors become more flexible and adjust to the expected shift in administrative systems.

With Vision 2030 projects set to generate over two million jobs, Ghazi pointed out that Saudi Arabia will likely witness a boom in job opportunities requiring qualification and training.



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.