High Quality Scalable Data Management for AI Applications
Project Description
This project aims to explore innovative methods for efficiently managing large datasets, ensuring data quality and scalability to support various AI applications. Students will engage in hands-on research, collaborate with peers, and contribute to real-world solutions in data management.
Supervisor
ZHOU, Xiaofang
Quota
3
Course type
UROP1000
UROP1100
UROP2100
UROP3100
UROP3200
UROP4100
Applicant's Roles
• Conduct literature reviews on data management techniques.
• Assist in the design and implementation of scalable data solutions.
• Participate in data collection and analysis.
• Collaborate with team members on project presentations.
• Assist in the design and implementation of scalable data solutions.
• Participate in data collection and analysis.
• Collaborate with team members on project presentations.
Applicant's Learning Objectives
• Gain practical experience in data management and AI applications.
• Develop skills in research methodologies and problem-solving.
• Enhance teamwork and communication abilities.
• Understand the challenges of scaling data solutions in real-world scenarios.
• Develop skills in research methodologies and problem-solving.
• Enhance teamwork and communication abilities.
• Understand the challenges of scaling data solutions in real-world scenarios.
Complexity of the project
Challenging