Global Big Data Conference

A trend we've been tracking for several years now is how the data science profession has steered away from being entirely independent, do-it-all unicorns into a more specialized work. It's by no means that individuals with deep knowledge in several domains have disappeared, but rather, the need for data science has grown, and teams have increased in headcount. It's not just that there are more cooks in the kitchen, but also machine learning solutions are much more ambitious in scope. It's becoming more important to think about the competencies of a team rather than expecting every individual to be an expert at everything related to machine learning. This is very similar to software engineering roles diverging into backend, front-end, and DevOps engineers.