The Creation of Custom Data Sets to Meet Customer Needs: A BSC Project
Rapidly advancing technology and the growing need for accurate and efficient data analysis have led organizations to seek customized data sets tailored to their specific needs.
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Top Annotation Guidelines for Human Labelers
The clarity of annotation guidelines is a key building block to obtain quality data used to train machine learning models. Proper training and annotation guidelines for human labelers are key factors directly determining how well those models will...
How the New ChatGPT Will Send Ripples of Change Through the World as We Know It
The flood of articles, reviews, uses (sometimes humorous), anecdotes, fears and discomfort in the face of change seems to be dominating conversations between both friends and technology experts. I've resisted the urge to post "just another review"...
Latest developments and technology in personal data anonymization
The anonymization of personal data represents a set of techniques and methods used to guarantee the right to privacy of individuals against the use of their personal data by third parties. It is a methodology that minimizes the risks of an...
How differential privacy complements anonymization to ensure data security
Undoubtedly, the intelligent use of data is a vital and strategic action for any company or research organization. However, this legitimate exploitation of data is limited by the need to preserve the right to privacy of data subjects.
Discover the NER Model in Data Anonymization
The named entity recognition (NER) model is a natural language processing (NLP) application that has become the basis for certain automatic tasks, such as machine translation, information retrieval, and text anonymization.
Working with aggregate data: what needs to be taken into account?
Data analysis is an effective practice in research, in the prediction of behaviors and trends and, consequently, in decision-making in any sector; business, commerce, science, education, government, etc.
Why All Companies Should Use Data Anonymization
Nowadays, personal data protection is a strategic action for companies. And not only for compliance with legal regulations, but also to avoid loss of trust and, consequently, loss of business opportunities.
How to protect your data with data masking
The digital world is full of opportunities provided by the Internet, as well as cloud servers, when it comes to hosting, sharing and using the profusion of data that is becoming increasingly abundant and valuable to users and businesses around the...
The importance of Data Cleansing in MT and Deep Learning
Data cleansing is an essential step in the search for any type of data validation. This also includes the processes related to language technologies, encompassing both Machine Translation and Deep Learning procedures associated with it.