Data science has a problem. Several problems, actually, but to begin at the beginning, let’s start with one: leadership.
Today I spoke at a summit for leaders in data science (the discipline that spans machine learning, artificial intelligence, statistics, data summarization, and visualization). As I looked over at the sea of faces belonging to the brightest trailblazers guiding today’s data science teams, I found myself thinking, “There are too many of you.”
