Industrial Internet of Things (IoT)
Thanks to the OPC Foundation's Unified Architecture, suppliers are finally able to realize the promise of Industry 4.0, says Accelerite's Dean Hamilton.
The greatest IoT revenue opportunities are in flexible monetization models, such subscription or pay-per-use, says Flexera's Eric Free.
When it comes to IoT adoption, there are four distinct waves. Pavan Singh takes a look at the state of IoT adoption today.
Securing industrial IoT is one of the greatest inhibitors of IIoT adoption. ThingStream's Neil Hamilton explains why a new framework for secure IIoT is needed.
In order to bridge the gap separating IT and OT teams, says Jason Andersen of Stratus Technologies, a new breed of 'hybrid OT' professionals is emerging.
The cloud can't process data quickly enough for IoT applications. OIES Consulting's Francisco Maroto discusses how fog/edge is stepping up to the plate.
As industry moves forward, industrial leaders must consider not only when digital transformation should happen, but also how.
There is one situation, however, that is ripe for innovation and a natural use case for innovation at the hands of IoT: the industrial technology space.
Product lifecycle management is tough if you don't see the product's entire lifecycle. To win at PLM, IoT and digital twins are a must.
As vendors step up industry platforms, businesses are enthusiastic about the opportunities; but there's a long road before domain-based IoT is ubiquitous.
Many enterprises have the data needed to modernize sitting unused in their legacy systems; now is the time to unlock it with IoT.
We can now treat the centralization of IoT smarts and data as an architectural decision, not one forced by economics or physical limitations.
Edge computing devices can make data available in real-time. Here are three reasons why edge computing should be a key component of your IIoT plan.
Industrial IoT is changing the face of embedded development, as security implications and wireless complexity associated with it must be addressed.
Next-generation IoT platforms that incorporate machine learning will help companies eliminate IoT data exhaust and harness IIoT data as a business asset.