How to Secure Data Privacy While Growing Machine Learning - InformationWeek

Data privacy is a huge topic right now for any companies using personal data, and recent legislative activities including the possibility of a new federal privacy law has brought it to the forefront. Consumer concerns are also growing with IBM reporting 78% believe a company's ability to keep their data private is very important. At the same time, machine learning improves products, delivering user benefits such as increased personalization, tailored experiences, and less time manually filling in forms. But machine learning requires data to train the system: without data, it can't function. So, businesses say they face a conundrum: how can they increase user privacy while still building products powered by machine learning? As the IT decision makers for their organizations, chief information officers must embrace the idea that privacy is not just an on/off switch where they either collect and use all or none of the data.