One of the biggest industries that can benefit most from the availability of more data is the medical industry. Indeed, it is not uncommon for doctors to fire up Google when faced with “interesting” ailments. Real-time analytics of the type provided by CEP solutions of course can help here, such as with the sort of event data from sensors such as the GPS and WiFi enabled inhaler in this PhysOrg story. In this particular case the data is stored locally and uploaded infrequently, so the data could be expected to be stuffed into a traditional datawarehouse for later analysis (e.g. using some powerful analytics tool like TIBCO Spotfire). Such analytics could well find correlations with other data sources (pollen types, weather, etc) of use to asthma sufferers and epidemiologists.
Alternatively the data could be analysed in-memory as-it-arrives and correlations built up in-situ. A 3G version could reduce the lag considerably and be used to do things like indicate local pollution plumes (that would cause more inhaler use in a particular location).
The Asthmapolis blog associated with this device has some other interesting medical sensor info if you are interested.
