Specializing in an industry
The fields of data science, machine learning, and artificial intelligence, are progressing at an exponential rate. New breakthroughs and discoveries are made every day. Yet, despite these rapid advancements, the adoption of these cutting-edge technologies across industries often lags behind the pace of the advancements. There are several reasons for this, including regulation, data privacy concerns, and compliance requirements.
However, one of the most significant factors holding back the adoption of machine learning and artificial intelligence across different industries is a shortage of skills and knowledge of where to apply them. Unless you are working on artificial general intelligence in a frontier lab, it is likely that you will focus on the applications of data science, machine learning, or artificial intelligence within a specific sector.
As a data science leader, you can set yourself apart by having a solid understanding of techniques and...