Abstract

This research explores the adoption of Artificial Intelligence (AI) in the private sector, with a focus on AI patent growth across various industries and regions. It aims to identify trends in AI adoption and understand the factors influencing its growth, such as company size, sector, geographic location, and workforce composition. Through data collection from the Emerging Technology Observatory and applying methods including regression modeling, machine learning, and time series analysis, the study examines how these factors drive AI patent activity and its potential relationship with stock market performance. The findings highlight key patterns, including regional disparities in AI adoption, the role of specialized workforce in patent growth, and the economic implications of AI technology integration. Additionally, the study discusses its limitations, provides recommendations for future research, and examines the broader implications of AI adoption for various stakeholders.

Advisor

Lester, Cynthia

Department

Statistical and Data Sciences

Disciplines

Applied Statistics | Business Analytics | Business Intelligence | Business Law, Public Responsibility, and Ethics | Data Science | Statistical Methodology | Technology and Innovation

Keywords

AI, private-sector, data science, statistics, business

Publication Date

2025

Degree Granted

Bachelor of Arts

Document Type

Senior Independent Study Thesis

Download

Share

COinS
 

© Copyright 2025 Elisa Rwagasana Ishimwe