Cloud Computing

This article offers highlights from a recent newsletter featuring Gartner content. Learn how digital businesses can stay competitive by adopting an edge computing strategy.

When the future is indefinitely smart machines and everything and anything can be a service, you must stop to ask yourself, when does it makes sense for industrial operations to take this on? As we embark on the next revolution with Industry 4.0 and the digital transformation IA is undertaking, is the OT infrastructure ready for XaaS?

For many industrial automation professionals, the cloud has come to represent the backbone of the IIoT. But, for enterprises to really make progress with their IIoT visions, they must begin to realize that the cloud is only one part of their IIoT universe.

There is one simple truth in computing—systems crash and so do hard drives. If not properly monitored, server rooms can overheat. The best hardware is not immune to problems.

There has been a lot of debate recently over the increasingly competitive and overlapping roles of operational technologists (OT) and information technologists (IT) within industrial automation.

If you’ve been following us since the Fall, then you know we’ve been validating assumptions in the market on edge and cloud computing. And, our justification came through with an ARC Advisory Group market report on edge computing in industrial environments.

Following our recent webinar with LNS, “Build an Analytics Anywhere Strategy today with the IIoT”, we have received a number of questions around the cost implications of implementing an IIoT strategy and how cloud and edge computing both play a part in an IIoT framework.

How do you prepare for the evolution toward edge-based devices and the Industrial Internet of Things (IIoT)?

I am sure you know the difference between OT and IT professionals, but what about their different approaches when it comes to the edge and edge computing?

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