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Semantic interoperability opens doors to the digitalized world

A universal IoT standard is yet in the distant future. Dr. Richard Soley, the Executive Director of the Industrial Internet Consortium treats the idea with skepticism. “I’ll be glad to be the first one to say that there will never be a single universal standard,” he states. According to his view, achieving interoperability is a much more important issue to tackle.

“No matter how hard we try, there will not be one standard, because people have different requirements and are trying different things and experimenting in different ways,” Soley argues.

He divides the world of IoT into two stages. The first one is middleware, which is about the input and output of bits and bytes; about moving information around. Numerous standards exist in this stage, and even though they may differ, no standard is necessarily better than the other.

In the second stage the main challenge is capturing the semantics of the different systems. “The question about the semantic representation is actually much harder. Now that you have moved those bits and bytes from here to there, what is it that they’re telling you to do?”

Jet engines, for example, all work the same way but differ from each other in the ways and units in which they capture data. The ability to translate that data – semantic interoperability – is a prerequisite for exchanging information between different machines.

“Achieving interoperability is our main task in the face of that differentiation and diversity between hundreds or even thousands of standards. How to bridge those standards is where we need to focus,” Soley says.

Big data analysis reshapes operations

Increasing efficiency is the most obvious opportunity created by digitalization. Adding sensors to different systems enables access to more detailed information about current processes, which usually results in improving them. The best opportunity, however, lies in finding completely new business models.

“When people buy air compressors, it’s not the machine they want – it’s compressed air. So it makes sense for the manufacturer not to sell the ownership but the outcome. They still install the compressor but maintain control over it and make sure it’s kept in perfect condition keeping the customer satisfied. In this so-called outcome economy, consumers get to buy what their hearts desire rather than machines that make them what they want,” Soley describes.


“Achieving interoperability is our main task in the face of that differentiation and diversity between hundreds or even thousands of standards. How to bridge those standards is where we need to focus.”

Another great opportunity in the world of big data analysis is discovering unexpected correlations that haven’t even been considered before. Furthermore, revealing hidden correlations can help reshape operations in a very concrete manner:

“In Southern Ireland, in one of our smart city testbeds the county’s ambulances are linked to national health data information, but in the future might also be moved to wherever the likelihood of an accident is the highest at the given moment. That’s something you can only do with big data analysis,” Soley says.

The way is paved in testbeds

With digitalization, as with all megatrends, come both opportunities and challenges.

“I think the biggest technical stumbling block at the moment is semantic interoperability especially in terms of analytics. In the past five years we’ve made a lot of progress but there’s still a lot of work left,” Soley points out, and continues: “Starting to create standards at an early stage where you haven’t even actually decided what it is that you’re going to build and which parts need to work together is really kind of crazy. In my opinion, a more fruitful approach is to build testbeds to learn about technologies’ best practices, what kind of analytics is required, how to build interoperability, and so on.”

To some extent, interoperability is sort of what applies to utilizing human resources as well. Fundamentally, harnessing digitalization is a collision between information technology and operational technology. In most companies it means combining forces of people with different kind of skills and competencies.

“In manufacturing companies, CIOs have to be open to finding new partnerships in terms of operational expertise to get a full understanding of how does it all fit together,” Soley says.

Nevertheless, Soley’s most important advice to CIOs as well as CEOs is to start small and with enough patience: “Don’t go and try to boil the entire ocean at once. Choose an application, start collecting sensor data, find out what it means and how it’s going to affect your operations. That’s what testbeds are for. Once you’ve done that, you can start building out across your operation and business, integrating information from unexpected sources and finding unexpected opportunities for your business.”

Trying to solve every possible issue at once is unlikely to pay off. Instead it may lead to a situation that Soley refers to as “analysis paralysis where you’ll try to analyze every single thing you do”.

Ultimately, just getting started is what matters. “For the CEO of the company I would say that digitalization is going to transform everything from business and manufacturing to transportation and healthcare – and this includes your industry too,” he concludes.

Dr. Richard Soley works as the Executive Director of the Industrial Internet Consortium, an international organization developing Industrial IoT testbeds; and CEO of the Object Management Group, a developer of semantic standards for industrial IoT.

Image credit: Christian Lagerek / Shutterstock.com

Interview w/ Richard Soley

2 Comments

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  • Abhijeet 08.10.2016 04:47

    interested to join

  • Abhijeet 08.10.2016 04:42

    please add me..shall be interested

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Data and analytics give new insight for productivity increases

“In the past, the workers wouldn’t know that anything went wrong until manufacturing was complete and they tested the device. And if testing went better than expected, they really didn’t know why”, Tom Kellner of GEReports writes for Product Design & Development. According to Kellner, through the implementation of the Industrial Internet, companies can utilize an approach in improving their products, where they examine what they did right and improve upon it. Software allows companies to replicate the exact conditions in which certain results are achieved and then bring it back to the factory floor.

Another advantage that the industrial internet brings has to do with the speed through which companies can make these improvements in their operations. For example, in a GE factory opened in the beginning of this year, the cycle time has already decreased by 50% compared to the old setup.

Read more at http://www.pddnet.com/news/2016/06/industrial-internet-helping-factory-evolve-better-products

Image credit: Vintage Tone / Shutterstock.com

Via Product Design & Development

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Companies acknowledge IIoT’s importance, but lack strategic vision

In a recent survey by the Genpact Research Institute, the Internet of Things was seen as the most important factor in companies’ success in the near future. According to David Bolton, staff writer at ARC, companies are well aware of the benefits that the Industrial Internet offer facilities.

Still, only 25% of the respondents had a clear vision of their strategy for implementing it in their operations. Due to the sheer size of the Industrial Internet, it is seen to be one of the main driving forces for growth in the future. It also means that companies have to develop their digitalization strategy to be able to reap the benefits offered.

Read more about the findings at https://arc.applause.com/2016/06/03/industrial-iot-2016-genpact’/

Image credit: Brian A Jackson / Shutterstock.com

2 Comments

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  • Aaron Watts 22.09.2016 13:09

    Hey, great piece but I’ve just noticed a small spelling error within the title – double I in IoT.

    All the best and keep up the good work.

    Aaron Watts

    • Vineet Aggarwal 06.10.2016 10:52

      IIOT stands for “Industrial” Internet of Things

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Digital canvases help with the convergence of IT and OT

”As the fourth industrial revolution approaches, one of the concepts disrupting the manufacturing world is the convergence of IT (information technology) and OT (operational technology)”, Sudhi Bangalore, head of Smart Manufacturing and Aftermarket Services Transformation group, Wipro Limited, writes for Manufacturing.net.

Bangalore introduces the concept of a digital canvas, and how to best utilize it to maximize the benefits following from this disruption. According to Bangalore, there are three key components to in creating the canvas: Workflow analysis and Digitization, ownership and change management.

Read more about the convergence and how to get the most out of it at http://www.manufacturing.net/blog/2016/01/it-ot-convergence-through-industrial-digital-canvas

Via Manufacturing.net

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IoT implementation arrives to industries, but at which speed?

According to a study by the global market intelligence firm IDC, last year nearly 60% of decision makers were already convinced that IoT will be strategically important to their business, while almost one in four believed in its significant potential to effect change.

2016 marks the year in which the number of manufacturing factories that have implemented a basis for IoT will surpass those that haven’t. In this article for Digitalist magazine, Andreas Schmitz, freelance journalist for SAP offers an interesting outlook on the speed at which IoT will be mainstream in various other industries.

Read more at http://www.digitalistmag.com/iot/2016/05/06/when-will-iot-be-mainstream-in-your-industry-04175090

Image credit: logoboom / Shutterstock.com

 

Via Digitalist Magazine

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