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2017: The Maturing of IoT and the Industrial Internet

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As enterprises start to realize how valuable Internet of Things (IoT) data is for improving production quality, design efficiency, supply chains, service capabilities, customer experience, partner relationships and more, they’re starting to formally strategize IoT adoption. In 2017, enterprises will look to invest in platforms that make it easier to incorporate IoT in their overall

 

business strategy. I predict that nearly every business in every industry will have an official IoT strategy by the end of this year.

The opportunity is fueled by sensor-based devices, the emergence of 5G networking and the Industrial Internet. The Industrial Internet is purpose-built and optimized for industry-specific applications. It augments operations by connecting industrial assets to each other and, if necessary, to the cloud. Data is collected from the assets and analyzed for meaningful outcomes.

With this approach, analytics are not only processed centrally. Dramatic drops in hardware costs, particularly in sensors and storage, has enabled the rapid evolution of intelligent assets at the edge. By 2019, 45 percent of IoT-created data will be stored, processed, analyzed and acted upon close to, or at the edge of, the network, according to IDC.

This approach makes real and near-real-time notifications possible, giving workers tools to further improve the operation of highly productive automated machines.

What are we seeing now?

2016 brought glimpses of these intelligent assets at the edge.

In agriculture, users are collecting soil temperature and moisture data in real-time in the field. The tractor or combine can then adjust planting depths or pesticide application to accommodate these environmental conditions.

In transportation, Autonomous Trains and Positive Train Control allow for the automatic adjustment of train speeds based on temperature, wind conditions, precipitation and time of day. Also in transportation, Automotive Intelligent Winter Services sense road temperatures, adjusting for time of day and precipitation to set safest routes.

What will we see in the future?

In manufacturing, expect to see a contiguous “digital thread” run through the product lifecycle management process, from design to operation to redesign.

In healthcare, this approach could result in the rapid diagnosis and treatment of disease and illness. And in public sector, massive volumes of audio and video recordings generated by police dashboard cameras could support face recognition and even security notifications.

What challenges will be faced?

Though the opportunities are massive, enterprises will need to overcome some challenges in adoption.

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