Busting popular myths around the Industrial IoT

Many organisations in different sectors stand to benefit from the IIoT, but there are three misconceptions that may hold up adoption

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Busting popular myths around the Industrial IoT Organisations should not delay IIoT adoption due to unfounded assumptions, says Matthews.
By  Dan Matthews Published  December 6, 2016

There is no doubt that the Industrial Internet of Things (IIoT) market is evolving quickly. In the report Digital Transformation — an Internet of Things Perspective, IDC predicts that the installed base of IoT endpoints will grow from less than 13 billion units at the end of 2015, to around 30 billion by 2020. The industries that IDC predicts will spend the most on IoT solutions are manufacturing, transport, energy and utilities, and retail, with a wide range of IoT use cases.

In other words, the Industrial IoT clock is ticking, and businesses not already addressing the opportunity offered by IoT need to create and implement their plans — quickly! So why are some companies still hesitating? One answer is that there are several misconceptions, or myths, regarding IIoT that are making decision makers hesitate, and sometimes delay or stop an IIoT project altogether. A heavy focus on standards, exorbitant expected costs and the fear of big changes are all cited as reasons for not pursuing IIoT projects. Let´s take a closer look at these in more detail.

Myth #1: We should wait for standardization

Unlike consumer markets where standardization, formal or by market dominance, is the key to success, for the IIoT, standardization won’t be a concern for decades. Sure, there are multiple emerging standardization initiatives in IIoT and yes it is not yet possible to know which will grow or be marginalized. But the thing is, it doesn’t matter. Unlike consumer markets where new standards, for say NFC chips in smartphones, can roll out and get near full market presence in the few years it takes for people to replace their phones, industries are run on equipment that is anything from years to several decades old. This equipment has been provided by tens, or hundreds of different suppliers.

Even if the equipment manufacturers ‘IIoT enable’ their latest generation according to some IIoT standard, it will take decades before industries have replaced all their existing equipment and assets with new IIoT standadarized versions. For industries wishing to pursue IIoT it is just straightforward to accept that for the foreseeable future there won’t be any standards on how to connect up all their things. Instead industries should expect and plan for doing bespoke integration development, or even retrofitting of other sensors and communications capabilities to equipment and assets in order to get them connected.

Myth #2: IIoT would be a giant leap for my business, demanding a lot of work

IIoT success is all about choosing small, actionable steps that will improve your business today — not giant leaps that will transform your industry tomorrow. For many people IoT still brings to mind disruptor companies like Uber or Netflix. But in most cases IIoT develops, rather than disrupts the entire business. According to the previously mentioned IDC report, the main drivers behind IIoT are to improve day-to-day operations, including improving productivity (14.2 % of the companies), improving quality and time-to market (11.2%), improving process optimization (10.2%), reducing costs (9.9%) and improving decision making (9.3%).

A look at the vast majority of companies who have already operationalized IIoT shows that the successful ones often have started with a few well-chosen processes and incremental change. It can begin with connecting just one piece of equipment. Earning a little more revenue from this can then inspire us to take a bigger step — what would happen if we integrated these findings with input from another data stream? External events, such as weather forecasts or temperature changes for instance. How could changing operations on this machine according to these inputs optimize its performance?

The key is to ask ‘how can we make this a little more efficient?’ not ‘how can we revolutionize our whole business?’ Incremental change is the name of the game. IIoT is about improving performance.

Myth #3: IIoT will be expensive and capital-intensive

A few years back this statement might have been true but three key developments have made IIoT implementation more affordable than ever before:

The falling price of IIoT hardware and software: Everything from the smallest sensors to the largest gateways has fallen in cost. There is now a range of smarter, cheaper sensors and gateways available to all industries, increasing your level of software control. If we take as a typical example a forklift truck. Ten years ago connecting one of these would have cost at least one thousand Euros — out of reach for most logistics and manufacturing operations running several of them. Today a single forklift could be connected for not much more than a 10 Euro note.

Cheaper, broader internet access: This has made it ever easier to connect a broader range of machines and equipment across a wider geographic area at a low cost. New developments such as 5G mobile networks and LoRa will make sure this trend continues.

Cost effective IoT cloud platforms: on the platform side we’ve seen big, exciting changes. Ready-to-use, cloud-based IoT platforms that can handle massive scale, storage and computing are now more available than ever before.

These three changes have made it possible for companies to get started with IIoT projects quicker and with lower risk than before, enabling more experimenting to reach success.

Operationalizing data — the key to IoT success

In addition to these IIoT myths, there is still one factor many companies tend to overlook — and that is how their IIoT data should be operationalized. In order to get returns from IIoT investments it’s important not to stop at only collecting and analyzing IoT data. Just doing that you still have not made a dollar. To benefit from IIoT the knowledge and insight needs to be turned into action that optimizes your business — whether that is a more optimal maintenance plan, higher service levels, improved logistics, engineering better products, or developing entirely new business models.

This can be done in several different ways, but one key step in operationalizing your data is automating the right processes based on gathered data. To illustrate with an example: equipped sensors capture data about too high temperatures. Instead of just collecting, registering and manually acting on this data, a process is created for automatically dispatching service personnel to replace a part that has suffered overheating and thus preventing future catastrophic failures. Operationalizing and automating — this is when the true power of IIoT comes to life and can generate significant revenues.

Dan Matthews is Chief Technology Officer at IFS.

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