Project Description
Outsourcing has traditionally involved moving jobs to relatively low-cost labor markets that allow businesses to reduce expenses without compromising productivity. However, the rise of Artificial Intelligence (AI) is transforming the outsourcing landscape: AI outsourcing includes delegation of tasks to AI systems rather than human workers, with the goal of improving efficiency, enhancing accuracy, and cutting costs. The main objectives of this project include an assessment of the effectiveness of AI outsourcing across industries by examining its impact on productivity, operational efficiency, and overall business performance. The primary methodology includes interpretation of information involving reproducible data management, modeling, and analysis including use of an integrated statistical computing environment.
Tasks and Responsibilites
Students will independently undertake field work to distinguish the "hypes" from the "facts" by documenting outsourcing activities at a dis-aggregated (company) level based on surveys of industry professionals actively engaged in the process of integrating AI and outsourcing. Tasks and responsibilities include management, modeling, and analysis of a unique and reliable data set which will involve entering information in a database after interviewing representatives of small and medium scale entrepreneurs from the local community and analyzing the data to identify emerging patterns.
Desired Qualifications
None Listed.