An In-Depth Look at the "Why" and "How" of Diversity in Data Science

All of this to say: businesses who don't care about diversity will be left behind, society as a whole, and the individuals impacted by these companies, will suffer. There have already been cases of data bias impacting lives, namely in facial recognition software and hiring processes. But there are talks of further integrating data science into everything from the judicial system to agriculture, and if those technologies are created by companies made up of only one viewpoint, the repercussions won't even be realized until they've already been implemented. And, the true successes and exciting capabilities of these products could be overlooked because of simple and preventable oversight.