The Industrial Internet ofThings is a lot like Football.

Sensors relay data to devices + gateways with compute, storage and networking.

After analyzing data at the edge,devices and gateways often sendtheir telemetry to an IIoT platform.

IIoT platforms authenticatedevices + gateways and

ingest their telemetry.

IIoT platforms buffer authorized data in a

message queue.

Message queue data is used to update digital

twins that represent

physical devices.

Real time analytics like streamprocessing pulls data from the message queue, digital twins and other data sources to alert the business to operational issues.

Batch analytics like machine learning use

the same data to anticipate

operational issues that

may arise in

the future.

Analytic insights are visualized

to deliver a comprehensive

view of the digital business.

Positive outcomes from IIoT platforms include reduced equipment failure risk, optimized operations, stretched maintenance cycles,

improved customer + partner service and reduced expenses.