What you need to know about industrial data scientists -- as told by an industrial data scientist

With industrial organizations undergoing rapid, large-scale digital transformations, it can sometimes be easy to miss the forest for the trees. When you get in the weeds on AI and machine learning, big data, analytics, the cloud, and the edge, you can forget that, at the end of the day, the goal of digital transformation is not to accumulate new technologies for the sake of new technologies. It's to use these new solutions to empower employees, make their lives easier and set them up to efficiently deliver new value and innovations for their organization. It's about the people, not just the tech; the latter empowers the former to drive results. The industrial data scientist is a living, breathing example of this -- a relatively new role in the process engineering and industrial sector that has emerged to fulfill a growing need in our industry: marrying traditional data science with localized domain expertise at a time of great, generational change occurring in the industrial workforce.