How to avoid confusing the terminology in Machine Learning

Even the most trivial of terms can be the source of grave misunderstandings. So, an open discussion around the terms used can be crucial for the success of the project. So, how do we avoid confusing the terminology? In machine learning, we use a lot of data for different purposes as we've discussed. One way to avoid misunderstandings is to gather everybody involved in a workshop.