image credit: Adobe Stock

Data Science and Privacy: Defending Sensitive Data in the Age of Analytics

November 22, 2022

When big data began getting corporate attention in the late 2000s, the idea of data privacy was considered lavish and exotic. The public was less concerned about securing their data assets and was only fascinated by the fact that the interconnected digital world would change their lives forever.

As we soon step into 2023, the concerns about data privacy are growing rapidly. For now, data privacy, data security, and data governance have become the utmost challenges faced by data scientists around the world. If we add artificial intelligence and machine learning to this frame, the problem becomes even more complex.