The production of massive amounts of data as a result of the ongoing Big Data' revolution has transformed data analysis. The availability of analysis tools and decreasing storage costs, allied with a drive-by business to leverage these datasets with purchased and publicly available data can bring insight and monetize this new resource. This has led to an unprecedented amount of … [Read more...] about 9 Reasons Smart Data Scientists Don’t Touch Personal Data
privacy
Seen and Be Seen: How Facial Recognition Will Change Society
With the number of cameras drastically increasing in our world, facial recognition is rapidly taking flight. Facial recognition is a biometric faceprint, where artificial intelligence maps an individual's face mathematically. This faceprint is then stored in data. Later, the stored data can be compared with a live or digital image using deep learning to verify someone's … [Read more...] about Seen and Be Seen: How Facial Recognition Will Change Society
The Questionable Analytics of Censorship
Historically, concerns about over-zealous censorship have focused on repressive governments. In the United States, free speech has been a pillar of our society since its founding. For the most part, government attempts at censorship or speech restrictions receive swift and successful push back. In recent times, however, a new path to censorship has arisen in the form of search … [Read more...] about The Questionable Analytics of Censorship
Advances in Data Science 2019
We recently opened a call for abstracts for Advances in Data Science 2019, an international two-day conference. This year's meeting is themed around four topics: Health & Wellbeing, AI & Robotics, NLP & Text Mining and Security & Privacy. Talks will range from application-focussed to advanced data science methodologies.'Advances in Data Science 2019 is set to … [Read more...] about Advances in Data Science 2019
Data De-Identification and Anonymization: Why and How It’s Done
Anonymization of data involves taking steps to remove personal identifiers from a set of data. Once data is anonymized, it should be impossible -- or at least very difficult -- to figure out who the stored data is associated with. The term de-identification is often used synonymously with anonymization in this context. Data is typically anonymized to protect the privacy of the … [Read more...] about Data De-Identification and Anonymization: Why and How It’s Done
