In this fishbowl-style panel discussion, we talk with the folks at the Data Science Minneapolis meetup, hosted by Homi about data science, artificial intelligence, machine learning, and why Amazon should be careful about who buys pressure cookers. Topics ranged from data modeling, bias in the data, the importance of data visualization, business acumen, and why data science cannot (or should not) be the answer to everything. Our rotating panelists shared key skills that help when you’re getting started, and what they do (or have done) to continue learning.