Using a server to decide what kind of data has real significance provides a mean to reduce data. For example if you are in a gym doing hard physical work the data must be compared with what happen in that circumstances, you can filter and weigh the data depending of the circumstances. Using AI to classify contexts in which precision must be increased is the best way to reduce the too much data problem.