How AI Careers Fit into the Data Landscape – Insight Data

The landscape of technical professions is constantly changing, and the resurgence of work in Artificial Intelligence has opened up new opportunities that differ from traditional Data Engineering and Data Science positions. Data Engineers build data pipelines and infrastructure to ensure a constant availability of transformed data. Data Scientists analyze and build models from these data to develop new product features or drive the bottom line of the business. The goal of newly-formed AI teams is to build intelligent systems, focused on quite specific tasks, that can be integrated into the scalable data transformations of Data Engineering work and the data products and business decisions of Data Science work. The differences between Artificial Intelligence, Data Science, and Data Engineering can vary considerably among companies and teams.