How to strike the balance between privacy and personalization in healthcare and beyond - Help Net Security

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. Because of laws like HIPAA, healthcare has had a head start in changing its approach to handling personally identifiable information (PII) and other sensitive information, while still leveraging technology and working with third parties to streamline processes. And they've figured out how to do this without sharing their valuable data. This is contradictory to the long-held belief that SaaS companies require customer data to improve services and get accurate, unbiased insights--it's simply not the case.