Data Management articles
Data Management articles
Pierre-Simon Laplace probably never imagined that one day his mathematical operator would help protect personal data in the age of AI. Yet today, the Laplacian operator has become one of the simplest and most effective tools for verifying whether sensitive information has been sufficiently blurred before visual data are shared or used. Read full article...
Digital watermarks are traditionally used to protect copyright and verify ownership. In AI and computer vision, however, they can also support GDPR by improving the traceability and security of personal data throughout its lifecycle.
Hashing is one of the simplest and most widely used techniques for protecting personal data. By converting an identifier - such as an email address or customer ID - nto a fixed-length cryptographic value, organizations can reduce the exposure of personal information while still linking records when necessary.
Leveraging LLMs for Efficient and Accurate Data Management
How to clean and manage database without the help of an annotator or colleagues? What if you could try using an LLM/NLP to assist you? Read full article...
Leveraging LLMs for Efficient and Accurate Data Management: model customization
After applying LLM methods for annotation and classification out of the box in my previous article Leveraging LLMs for Efficient and Accurate Data Management, model customizing naturally becomes the next step to maximize detection accuracy. Read full article...
Data cleansing
Do you remember that garbage in, garbage out?
This is the most important meaning of data cleaning process, which stands for identifying errors in data and repairing them. Here are some tips for cleaning data in the most effective way from my workday routine. Read full article...
The best data annotation and management tool
‘What is the best data annotation and management platform for you?’ Read full article..
Data Broker
When people hear the term data broker, they often think about companies that buy and sell personal information. And that's correct. Read full article..
CVDataManagement
Training a computer vision model doesn't start with the model - it starts with the data. Read full article..