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How to strike the balance between privacy and personalization in healthcare and beyond

The trade-off between widespread technology adoption and responsible use often lies on the spectrum of privacy. When it comes to technologies fueled by data, such as artificial intelligence (AI), it’s even harder to strike the balance between equitable access and inherent risk. This is felt heavily in the healthcare industry, as regulations around information sharing are generally more stringent than those for other verticals.

Simpler & More Accurate Deidentification in Spark NLP for Healthcare

Spark NLP for Healthcare 3.1 improves the accuracy, functionality, and ease of use of the library’s data de-identification capabilities. All improvements come...