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Edge Computing and the Industrial Internet of Things in 2019

What's in store for next year? Here are seven predictions for what to expect.
By Sastry Malladi

6. IoT video and audio sensors will take off, driving the need for deep learning at the edge.
There is industry-wide excitement about the capabilities that audio and video sensors can bring to the IIoT. Edge-computing technology can play an important role in the further deployment of audio and video data in commercial and industrial IoT systems. The fusing of asset data with audio and video analytics will allow for faster and more accurate device and machine maintenance (including updates on systems health and more), and a whole host of new innovative applications. One such example of video analytics is the use of flare monitoring at oil and gas operations to track environmental compliance and flare state remotely for large volumes of flare stack towers.

7. Predictive maintenance will give way to prescriptive maintenance.
One of the big promises IIoT edge solutions deliver is predictive maintenance, offering insight into what is likely to happen to a connected asset (like manufacturing equipment or an oil rig) in the future. While many organizations still lag in implementing predictive maintenance as a first step, even more advanced technology will be available to early adopters in 2019. Prescriptive maintenance is a step forward to enabling businesses to not only predict problems, but also produce outcome-focused recommendations for operations and maintenance using data analytics.

For example, elevator manufacturers want to put an end to routine problems, such as friction in elevator doors. As part of this effort, they can partner with FogHorn to create a predictive maintenance solution. By analyzing sensor data at the source, they can now determine maintenance needs well in advance, without the cost, latency, security and other issues associated with transfers of large amounts of data outside of a building.

Thus, a company can schedule service before anomalies impact performance in a highly efficient manner. As prescriptive maintenance becomes available, before the manufacturers roll a truck to provide maintenance on an elevator, they will have data available to suggest areas most likely to need repairs, and will have verified the repair staff person has the expertise, tools and parts available for the repair.

As FogHorn's CTO, Sastry Malladi is responsible for and oversees all technology and product development. Sastry is a results-driven technology executive with deep technology and management experience of more than two and a half decades. Prior to his role at FogHorn, Sastry was the chief architect of StubHub, an eBay company, where he led the technology architecture transformation and also spearheaded big-data initiatives and data-driven decisions. Sastry was also a key technology executive at eBay, leading the technology re-platforming effort from its monolithic architecture to the distributed and scalable service-oriented architecture that it is today, enabling business growth. Prior to joining eBay, Sastry was co-founder and CTO of OpenGridSolutions, a founding member and architect at SpikeSource, and an architect at Oracle. He also worked at many other companies early in his career.

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