Why should you care where your data lives? In the process of writing my talk for the AI Quality Conference coming up on June 25 in San Francisco ( tickets still available !) I have come across many topics that deserve more time than the brief mentions I will be able to give in my talk. In order to give everyone more detail and explain the topics better, I’m starting a small series of columns about things related to developing machine learning and AI while still being careful about data privacy and security.

For a data scientist, there’s no such thing as too much data. But when we take a broader look at the organizational context, we have to balance our goals with other considerations. Data Science vs Security/IT: A Battle for the Ages Acquiring and keeping data is the focus of a huge amount of our mental energy as data scientists. If you ask a data scientist “Can we solve this problem?” the first question most of us will ask is “Do you have data?