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Feb 2024
(Mon)
How to use big data governance and data compliance to ensure data accuracy? (5 Feb)
- Subject
- FinTech and Financial Analytics
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- Date & time
- 05Feb 2024 (Mon)13:00 - 13:30
- Fee
- Free
- Speaker
-
- Mr Thomas Lee
Mr Thomas Lee
Mr Lee is a computer and project management professional who has worked in the information technology and data science industry for over 30 years under vendor environments including HP Inc., Dell, Fossil, Motorola network and GP Batteries. In the past ten years, Mr Lee focused on new product introduction, design for manufacturability, quality assurance & production risk management among manufacturing plants in China & Taiwan utilizing various data sciences tools and methodologies. Mr Lee is qualified as a Microsoft Certified Trainer in delivering Microsoft training modules based on Azure technology. He has been teaching courses related to Big Data, Cloud Computing, Machine Learning, Cyber Security and Fintech since 2020. Mr Lee is a certified Project Management Professional, PMP from Project Management Institute PMI, US from 1998 and a Certified Scrum Master since 2018. Mr Lee holds a Master of Health Science degree in Biomedical Engineering from University of Toronto, St. George Campus, Canada. He currently works on projects as an enabler for Inclusion and Accessibility utilizing the artificial intelligence technology.
- Enquiry
- 2867 8331 (finedec@hkuspace.hku.hk)
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Big data governance and data compliance are two critical concepts for businesses to ensure their data's accuracy, availability, and security. Data governance promotes an organization's data's availability, quality, and security through different policies and standards.
These processes determine data owners, security measures, and intended uses for the data. Compliance, on the other hand, refers to an organization's adherence to regulatory requirements. It ensures that the organization’s data activities subscribe to enterprise standards of integrity.
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Language: Cantonese (Supplemented with English)