Analysis shows that the application of artificial intelligence (AI) in HRM can improve overall productivity, decrease mismatches, and facilitate more accurate hiring. On Wednesday, June 5, in Abidjan, artificial intelligence specialist Dr. Redda Ben Geloune gave a presentation of the findings from his PhD study on the application of AI to human resources management in an organizational setting.
Dr. Redda stated that artificial intelligence models have demonstrated an 85% prediction accuracy, as opposed to 60% for conventional statistical methods. ”Today, we need to understand that a company that implements AI has a 25 percent gain in productivity, but in terms of improved profitability, companies that implement AI-related technologies improve their profitability by 15 percent,” Dr Redda stated.
He clarified that artificial intelligence is a subfield of computer science that attempts to develop computers that can replicate or outperform specific tasks typically associated with human intellect, as well as certain cognitive functions of humans.
Dr. Redda Geloune asserts that the development of algorithms, the capability to gather vast amounts of data (big data), and the expansion of processing and storage capacity are the three pillars that support artificial intelligence.
The director of the MBA Entrepreneurship and Innovation program at the French Management Institute (IFG) and a specialist in AI pointed out that building up local skills and processing and storage capacity serves as a safety valve for regulating AI and its data.
“If we improve the productivity of a company, we automatically contribute to the gross domestic product in a cost-effective way” Dr. Redda Geloune stated that while AI applications can be created for any purpose, enormous volumes of data are required.
Sixty-five percent of the 65,000 businesses in Cote d’Ivoire account for 96% of the nation’s GDP. He projected what would happen if 10% of Ivorian businesses adopted AI-related technologies. Redda demanded a true national plan for the application of all AI-related technologies at the governmental level. Furthermore, leaders need to “support the integration of AI in companies through regulations and incentives.”
Redda emphasized that African nations must “imperatively develop the computing power” and data storage capacities at the local level. States have a regional leadership role in AI-related technology.
