Being hired as the resident IoT data scientist can come with a lot of pressure. Oftentimes the only one on the team with the unique ability to turn data into business intelligence, data scientists are responsible for making key IoT decisions, setting plans, ensuring execution and meeting deliverables. On top of this, there can be a number of stumbling blocks out of the gate that make it hard to reach goals. Being aware of these challenges not only helps put a data scientist on the shortest route to success, it makes it easier to identify where and when more help will be needed.
Here are some of the most challenging requirements data scientists face when starting an IoT project: