Practical Privacy: How to Increase Data Privacy and Grow Machine Learning

Data privacy is a major concern, with IBM reporting 78% of consumers believe a company's ability to keep data private is very important. Machine learning requires data, but methods like limiting personal data collection, k-anonymity, and differential privacy can balance privacy and accuracy. CIOs must see privacy as a sliding scale, not an on/off switch.