Four big challenges for the industrial Internet of Things

  • Posted by admin on April 24, 2018

A quest to become a smarter world where all systems with local processing and sensors are connected to share information is gaining momentum. Connecting these systems with each and other and users helps businesses make informed decisions. 

This overarching idea has got many labels, but the most well-known is the Internet of Things (IoT). The big sphere of IoT involves smart homes, mobile fitness devices, and connected toys and its subset the Industrial Internet of Things (IIoT) includes smart agriculture, smart cities, smart factories, and the smart (utility) grid, says Danish Wadhwa, a strategic thinker and an IT Pro.

The Industrial Internet of Things (IIoT) refers to an interconnected network of systems, platforms, physical objects, and applications that have been programmed to interact and share intelligence with each other and external environment. The significant adoption of the IIoT is being triggered by the higher availability of sensors, processors that facilitate capture of and access to data in real time.

Moreover, Industry 4.0 has empowered the industrial users to use the data and analytics for predictive analysis with minimal machine downtime, higher storage and remote asset tracking. With so much hype around, IIoT also has its own set of challenges that enterprises need to address to reap all its benefits in the future.

Lack of standards

The paucity of standards and documented practices put a great impact on the potential of IoT devices. APNIC’s Geoff Huston states that a lack of standards can result in bad behaviour by IoT devices.

In the absence of standards, developers might design products that run in disruptive ways. When designing and configuration is not right, such devices might lead to bad results for networking resources. This is likely to happen because of cost constraints that put down many things and lead to the need for a product to release faster than competitors.

Additionally, problems related to managing and configuring IoT devices generate the need for innovative design. Thanks to this need, the fine-tuning of configuration tools, interfaces, and methods will be critical in the future. These tools help in data manipulation, data communication, data visualisation, and data analysis which are inclined to AI. Therefore, most developers, to work according to standards, will work best if they take an online AI course to stay abreast of the internet of things.

Data protection from corporations

Apart from hackers, organisations that develop and distribute interconnected devices could also get hands on your data using these devices. This is particularly dangerous during money transfers.

Most organisations like BP are giving out Fitbits to their employees to analyse their health conditions so they can get minimum health insurance premiums. Moreover, even if organisations stop monitoring workers’ health on a regular basis, there is the question of how corporations can use the data they have collected so far.

RadioShack is one such example. This corporation has tried to send or even sell collected data to other organisations. This puts a question mark over our individual privacy rights.

Today, a consumer’s safest bet is to go through every clause prior to buying a device. Also, consider the device’s corporation […]

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