The impact of programme management on the speed of AI development in semiconductor industries

Thesis

The rapid advancement of AI has swept through the technology industry. The dissertation explores the relationship between AI projects and programme management. We try to analyze the various programme management parameters that contribute to the differences in AI projects development speed among high-tech IC companies.

Drawing on literature from AI projects management theory, the literature indicates that the rapidly evolving AI tools are gradually being integrated into various dimensions of programme management, and individual program parameters also have some impacts on AI development. However, there is less emphasis on the interrelationships between these parameters and which parameters are truly the most critical management parameters in AI programme.

The dissertation was researched through the mixed-method process. Qualitative data was sampled through interviews with team members working in different IC companies, with diverse experiences, locations, backgrounds, and roles. The data extraction and analysis are carried out using the latest AI neural deep learning network models to finally predict the main elements in high-tech programme management.

Overall, this research demonstrates technique skills and leadership become the critical parameters, and execution, culture, and organization have less impact on AI programmes compared to traditional ones. “Technology and Leadership” should always remain our primary focus during our AI programme management in IC industries.

Authors: Zhao, H

• DOI: 10.5287/ora-1a6oovdx8
• Type of award: MSc
• Level of award: Masters
• Awarding institution: University of Oxford
• Language: English
• Keywords: semiconductor; IC; management; AI
• Subjects: Semiconductor industry; Development speed; Programme management; AI development