A technology platform for community reskilling/upskilling at scale using advanced AI and machine learning to analyze individuals, jobs/roles, and training at the skill level. These patented methodologies enable analysis of the skills individuals have, the skills they need for emerging in-demand roles, the unique gap between skills supplied and demanded, and personalized learning pathways to bridge these gaps. Through aligned interactive, industry-validated training for current and emerging roles, the project supports learning engineering through automated skills-based analysis and truly personalized learning. Beginning with the manufacturing sector and expanding thereafter, the real-time skills intelligence will drive equitable outcomes through just-in-time upskilling. SkyHive; SME
Mustafa Sayedi
Senior Manager, Public Sector & Social Impact @ SkyHive Technologies
Mustafa leads SkyHive’s technology engagements with government departments, nonprofits, and other public sector organizations. He advises public and social sector organizations on how AI technologies can drive reskilling/upskilling for internal and external workforces, developing multi-stakeholder partnerships to bring SkyHive’s impact into communities. His background is in global affairs and public policy, with years of experience in policy/program design, analysis, and evaluation in skills and workforce development.
