1. Industrial IoT (IIoT) predictions for 2017
1/23/2017 4:01:42 PM
Industrial IoT (IIoT) predictions for 2017
Fog Computing,IoT Device,IIoT,HaLow
App Developer Magazine

Industrial IoT (IIoT) predictions for 2017

Monday, January 23, 2017

Richard Harris Richard Harris

Programmability at the SCADA and Sensor access layer to drive major digital transformation initiatives for distributed enterprises in 2017.
FreeWave Technologies, Inc. has five Industrial IoT (IIoT) predictions for 2017 for you to consider. The series marks the second annual list of Industrial IoT (IIoT) predictions compiled by FreeWave's top industry experts. The predictions cover a range of topics including the rise of interoperability, business challenges stemming from IT/OT convergence, programmability at the edge, wireless networking standards for Smart Cities, enhanced cybersecurity rollouts, and IoT talent recruitment opportunities.

2017 will see the of the strongest security rollouts to-date thanks to emerging technology.
A decentralized network architecture that brings computing power closer to where data is generated and acted upon, Fog Computing enables analysis, control and automation closer to the “Things” in the Industrial Internet of Things. Because Fog Computing reduces the amount of data being sent to the Cloud, cybersecurity will be enhanced by reducing the threat and attack surfaces of IIoT networks. In industries where even milliseconds are vital, certain processes will move away from the Cloud and closer to the Edge.

Industrial Internet of Things (IIoT) app development programs will begin to outgrow/outpace consumer IoT app development programs within the next three years. 
Third party IIoT application development at the edge (i.e., Fog Computing) specifically will alter the use of big data and predictive analytics. The ability to filter specific data needs directly at the source means less of a need to collect all the data for broad analysis. The demand for more apps at the edge and coinciding apps on the IT side of the business, coupled with big opportunities for app developers will drive the shift from consumer to IIoT apps.
Recruitment of IoT talent will continue to be a challenge, incentivizing private enterprises to directly fund secondary education programs to nurture the next generation of a digital-centric workforce. 
The biggest challenge affecting IoT talent recruitment is the skills gap – there are not enough qualified applicants to take on new digital-centric, IT roles. From a business perspective, IT/OT convergence further complicates the issue. Enterprises are transforming the way they operate -- and it impacts everyone – especially the folks on the operations side dealing with legacy systems. Each of these factors has created a talent gap for many organizations.

By the end of 2017, millions of smart IoT devices will be deployed into networks that use the 802.11 ah (HaLow) protocol and it will eventually become the standard for IIoT. 
With the rise of Smart City initiatives, the 802.11 ah (HaLow) wireless networking protocol will over power Bluetooth in 2017 for critical infrastructure applications like traffic management, public safety, energy efficiency and public infrastructure design. Where HaLow shines – high-speed data transmission rates for longer distances – Bluetooth 5 falls flat. As urban areas continue to expand outward, the need for high bandwidth solutions will become more important, which would seem to favor HaLow in the long run.

A public utility closure will occur in 2017 
The maturation of interoperability standards and evolution of remote data collection technologies are forcing critical infrastructure and utility organizations to adapt at a new pace. With an aging infrastructure and high percentage of the workforce nearing retirement, existing management will struggle to match the resources needed to build a comprehensive, integrated portfolio of applications that must work together to support the organization’s goals.

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