The article argues that the failure of many enterprises to benefit from AI is not due to a lack of technology but to insufficient digital foundations, disorganized processes, poor data quality, cultural resistance, and a shortage of skilled talent, turning AI projects into costly showpieces.
The 2021 CIO Survey reveals that organizations worldwide are struggling to fill cybersecurity, AI, and data analytics positions, with remote work expanding the talent pool but also highlighting broader challenges such as employee experience, strict prioritization, and a looming wave of unused vacation time.
The article explains how large organizations, especially U.S. government agencies, can adopt DevOps as a service by addressing cultural resistance, talent shortages, functional silos, authority‑to‑operate hurdles, and securing the toolchain and software supply chain through automation, training, and integrated security practices.
The article analyses how China’s semiconductor sector struggles against entrenched Western dominance, chronic equipment and talent shortages, limited funding, and restrictive export controls, while highlighting recent government investments and the strategic importance of closing these gaps for national security and technological independence.
The article reviews the evolution of artificial intelligence, presents a comprehensive AI reference framework based on roles, activities and functions, explains the intelligent information chain and IT value chain, and details current AI technology trends such as machine learning, deep learning, transfer learning, active learning and evolutionary learning, while also noting talent shortages and promoting an AI education course.
