The IoT Emits Events of Interest:
All of the Agents on the IoT, devices, machines, chips or people, are trained or programmed to emit signals of events, status and state change. While not generally responsible for analyzing, deciding or acting on these events, the IoT is often dependent on down stream process, systems, other agents and big data stores for further analysis and action.
Processes & IoT Together Can Identify Patterns of Interest:
Many of today's processes and cases contain rules engines or poly-analytics, so they can combine several simultaneous or serial events to create patterns. These patterns can be presented to process managers or process participants for further analysis. In sophisticated situations, there could be expected patterns inventoried for predetermined actions.
Processes / Cases Give Context For Events & Patterns:
Events and patterns are sometimes interesting, but having to filter all of them can be difficult. Like radar, context can be represented by the structure of a case or process. This helps filter the events and patterns to identify the ones that represent a threat, opportunity or a need for further action or analysis. A missile out 1000 miles is much different than one is within 100 feet of you.
Business FOMO is a real thing that needs to be managed. If the IoT takes off as fast as expected and delivers the amount of events and patterns that need to be dealt with, FOMO will accelerate. If you are active on social sites, you grok the phenomena. Get ready for incoming.