AI & Technology
National Experts Program Equips Thirty-Two Emirati Sector Specialists to Transform Artificial Intelligence Potential into Responsible, Measurable Value
Under the theme ‘From AI Stack to AI Value’, Module 2 bridges technical algorithms with practical corporate governance, economic monetization frameworks, and national data sovereignty.
By 19Network Editorial Team · Aug 31, 2026 · 5 min read
Thirty-two Emirati specialists complete Module 2 of the NEP-AI track, turning artificial intelligence concepts into responsible, measurable economic value.
ABU DHABI - In a significant initiative designed to cultivate national leadership at the intersection of cognitive technology, institutional governance, and economic productivity, thirty-two Emirati specialists have successfully completed the second module of the National Experts Program’s dedicated Artificial Intelligence Track (NEP-AI). Delivered under the theme ‘From AI Stack to AI Value’, the curriculum marks an important evolution in the UAE’s capacity-building strategy, shifting the operational conversation from how machine learning models function to the strategic decisions that determine where they should be deployed, how they must be governed, and whether they can generate sustainable returns across diverse socio-economic sectors. Building upon the core computational and data architecture foundations established during its inaugural phase, Module 2 was structured around four primary operational objectives: identifying and structuring high-impact AI use cases tailored to individual sector requirements; calculating precise development and lifecycle cost structures alongside tangible return-on-investment (ROI) metrics; integrating robust corporate governance, ethical accountability, and risk management frameworks into software design; and ensuring that technological adoption aligns seamlessly with public trust, regulatory standards, and national strategic goals. A defining feature of the module was the direct immersion of NEP-AI specialists within key government and…