Jeffrey Rowe has more than 40 years of experience in all aspects of industrial design, mechanical engineering, and manufacturing. On the publishing side, he has written well over 1,000 articles for CAD, CAM, CAE, and other technical publications, as well as consulting in many capacities in the … More »
Part 2: Is It Really Smart To Buy Totally Into IoT?
August 18th, 2016 by Jeff Rowe
For the past several years we all have heard the non-stop hype from a number of different sources that the Internet of Things (IoT) is the thing that will change everything and improve our lives in ways that are still unimaginable to us. That may be true, but relatively little attention is paid to the converse – what are some of the not so great things that could result from IoT? This darker side of IoT, of course, includes security, but how about data handling, infrastructure, privacy, and the inevitable question of who actually owns the data generated from and for IoT. All of these issues are problems now and will only continue to grow unless and until they are adequately addressed.
This week I’ll cover IoT data handling and data infrastructure, both critical if the IoT is to proliferate as many vendors hope and hype.
Simply put, IoT has a data problem. Well actually, several data problems. Everyone is claiming to be the world’s smartest something, but that proliferation of devices, lacking context, with fragmented user groups, and generating mountains of data, is a huge challenge for the burgeoning industry.
To succeed, what the IoT needs is data. Big data and the IoT are really about the same thing. The IoT collects data from billions of sensors; that data is classified, organized, and used to make automated decisions; and the IoT, in turn, acts on it. It’s precisely this ever-accelerating feedback loop that makes IoT so compelling.
However, the spread of IoT will eventually trigger a mass extinction, where only a relatively few companies will survive. Many of the survivors will be the ones that can discover more information by inference, and that means organizations that know data science.
Swimming With sharks – Security In The Internet of Things
This sprawl of devices also means a sprawl of data. Unless you’re one of the big players, you probably don’t have enough user data to make significant breakthrough discoveries or computing horsepower to analyze it — giving the big players a big advantage.
When the IoT sectors inevitably consolidate, all the data that failed companies collected will likely be lost, because there’s little sharing of information across product lines, and export is seldom more than an ASCII file.
If data doesn’t persist, why bother collecting it? Possibly the biggest data problem that IoT faces is correlating the data it collects with actions that can be taken.
There have been hypothetical discussions around compliance, privacy or the kind of information that consumers will be happy to offer to businesses in exchange for better customer experiences, but there has been little discussion of exactly where enterprises plan to store the massive amounts of data that will be created.
According to research from Gartner, there will be an estimated 26+ billion units installed globally by 2020 with many more on the way in succeeding years as the price of processors drops. In the near future, it will be theoretically possible to install a processor into just about everything.
The big question is: Where is all the data provided by those processors going to be stored and what are the problems around them?
This is a very real problem. If enterprises are to get the deep insights into customer activity like the IoT promises, they are also going to have to keep all that information somewhere while it is being analyzed.
In a paper published by Garter in 2014 entitled The Impact of the Internet of Things on Data Centers, Gartner identified the principal issues that are going to have to be resolved before enterprises can start to benefit from the IoT. Fabrizio Biscotti, research director at Gartner, summarized the problem by saying, “IoT deployments will generate large quantities of data that need to be processed and analyzed in real time. Processing large quantities of IoT data in real time will increase as a proportion of workloads of data centers, leaving providers facing new security, capacity and analytics challenges.”
The central problem lies in the nature of the IoT itself. It will connect remote devices and systems and provide a data stream between devices and decentralized management systems. The data or even the devices will be incorporated into existing organizational processes to provide information on the location, status, activity and functionality of those systems, as well as information about the people who own and operate them.
According to a David Roe in a story about IoT, the amount and type of information differs from other sets of big data that comes from social media, for example, in the following ways:
The enormous number of devices, coupled with the sheer volume, velocity and structure of IoT data, creates challenges, particularly in the areas of security, data, storage management, servers and the data center network, as real-time business processes are at stake,” Joe Skorupa, Gartner vice president said.
Why Should You Care About The Internet of Things?
Gartner identified several challenges:
The result of all this, the research points out, is that because of the scale of the data being created it will no longer be economically feasible to store data at a single location.
This is only the beginning of process that will see major changes in the design and architecture of data infrastructures that are critical for making IoT a reality.
In the end, the IoT is a tool, just as all technologies are tools. Whether talking about the things being connected to the IoT, or the IoT itself, never forget that tools themselves are just things, but the story isn’t really about things at all. In the end, the IoT is an extraordinarily powerful communication and commerce tool, but a tool – a commodity, and not a precious possession.
So, to answer the question posed in the title of this blog, Is It Really Smart To Buy Totally Into IoT? I don’t the time is quite right, yet, but that time is approaching and inevitable.