Artificial Intelligence and Cloud Migration: Unlocking the Future of Business Infrastructure; Revolutionizing Businesses in the Cloud and Their Profound Impacts on the Digital and Physical Future

Author:
Tran, Ethan, School of Engineering and Applied Science, University of Virginia
Advisors:
Vrugtman, Rosanne, EN-Comp Science Dept, University of Virginia
Jacques, Richard, EN-Engineering and Society, University of Virginia
Seabrook, Bryn, EN-Engineering and Society, University of Virginia
Abstract:

The intersection between the technological revolution in cloud migration innovation and its broader societal implications forms the core of my academic exploration, bridging my internship experience at Fannie Mae and STS research paper. The internship provided hands-on experience in implementing cloud technology within a leading mortgage financing company, and my discoveries working with such cutting-edge technology prompted my STS research to explore the environmental ethics within Cloud migration and how to sustain this new era of the digital age. Together, these projects illuminate the dual aspects of technological progress, their potential to progress businesses and society to new limits, and the grave ramifications that may lie within their environmental impacts if not appropriately innovated sustainably. This synthesis underscores the critical need for environmental ethics to understand cloud technology's place within modern society and its future trajectory.

Degree:
BS (Bachelor of Science)
Keywords:
Cloud Computing, Cloud Migration, Environmental Ethics, Sustainability, Data Centers, Energy Usage, Artificial Intelligence, AWS
Notes:

School of Engineering and Applied Science

Bachelor of Science in Computer Science

Technical Advisor: Rosanne Vrugtman

STS Advisors: Richard Jacques, Bryn Seabrook

Language:
English
Issued Date:
2024/05/10