Essential Truth of the IoT: empowering individuals!

I am still euphoric after last night’s IoT Meetup in Providence (such a meeting of the minds!) and it inspired me to write another of my posts about what I see as “Essential Truths” of the IoT!

In fact, I dare say this is the most profound — and perhaps least understood — way in which the IoT will bring about fundamental transformation of our lives.

When we talk about IoT components such as automated Machine-to-Machine (M2M) communication, it tends to obscure the human aspect of the IoT.

I think that’s going to be a HUGE component of the change, and one that we won’t be able to fully appreciate or exploit until the IoT is an omni-present part of our daily lives.

That’s because we have labored under such fundamental restrictions on communicating about data in the past that we can’t really visualize what things will be like when those restrictions are removed and data flows freely.

Here’s where something truly magical comes in!

It is no knock on even the most creative organization or its staff to say that it doesn’t have a strangle-hold on the truth: there’s simply no way that any organization or any individual can think of all the ways that certain data could create value. But when you make that information readily available, someone who has a particular interest (OK, maybe we’re talking about obsession!) or feels particular pain about that thing can come forward with a creative new product or service to capitalize on that information. I can visualize mutually beneficial partnerships that we can’t conceive of today between major corporations and tiny startups (i.e., GE/Quirky/Electric Imp  — or perhaps even individuals  (that’s the kind of thing that Innocentive has successfully pioneered with its challenges, where many of the profitable solutions have come from rank amateurs who may have no professional credentials but personal zeal and insights).

I realize that senior managers may be uncomfortable talking about the role “magic” can play in development of profitable new goods and services, but I humbly suggest that with the birth of the IoT it’s something they should add to their vocabulary.

What a future!

 

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My presentation tonight on human communication and the IoT

I just uploaded my presentation to tonight’s Boston/New England IoT Meetup, which will be held in Providence beginning at 5:30.

I’ll be speaking about what’s often overlooked in the introduction of exciting new technologies — and the IoT is no exception: the human communication possibilities and challenges that it introduces.

In the case of the IoT, all of the attention on automatic, non-human mediated  machine-to-machine communication obscures the fact that the IoT will have profound implications for human communications as well.

More than anything, it’s the fact that, for the first time, we’ll be able to share critical data on a real-time basis among co-workers, our supply chains, our distribution networks, and our customers. IMHO, that changes everything: workers will be able to do their jobs better because they’ll know exactly what’s happening at the time, and we’ll be able to make better decisions because everyone with a valuable perspective will be able to chime in at the same time: reducing the chance that some critical aspect of the issue will go ignored. That’s going to be amazing!

I’ll also talk about Chris Rezendes’ concept of “ground truth,” i.e., that one of the things we’ll be able to share in making those better decisions is “device intelligence,” real-time data from “smart things.” Hopefully this will lead to fact-based decision making (OK, maybe I’m a Pollyanna!) .

I conclude with my argument that, to fully take advantage of this real-time data flow, we need new management styles, including a “Buckyball Management” organizational chart in which every member of the organization is an important, value-creating “node” and every member can communicate with every other member when its relevant.

Hope you can make it tonight!

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Essential Truth: Gathering “Ground Truth” through IoT

This is the second in my occasional series of “Essential Truths” — key principles and questions about the Internet of Things.

On Tuesday, when I speak to our next Boston/New England IoT Meetup on the issue of “human communications and the IoT” one of the concepts I’ll be focusing on is what Chris Rezendes of INEX Advisors calls “ground truth,” a concept he was exposed to through his work with clients in the defense industry.

This is the idea that when devices become “smart,” they give off “digital exhaust” (in the same way as our searches do, which Google analyzes, allowing improvement in search results) which creates “device intelligence” that we can analyze and act upon. That is ground truth: accurate data about real-world conditions that we can share in real-time to improve operating performance and analysis.

According to Chris,

“You will have data, objective facts, about that tree or tidal pool, that machine or that vehicle, that room or that field, that patient or that criminal. The data in that ground truth will complement certain aspects of our perceptions about those things; and displace our misperceptions. And that ground truth will help us all make better decisions about how to manage our time on earth.”
— “Internet of Things: Grandest Opportunity, Most Stubborn Challenges

It seems to me that this is one of the IoT’s most important potential benefits: improving decision-making by being able to base it on factual, timely information.

Think, for example, about the contentious issue of global warming. Cisco’s  “Planetary Skin,” and HP’s  “central nervous system for the planet” projects will deploy unprecedented numbers of remote sensors planet-wide, yielding real-time data about how global warming is affecting your community. It may not win over the hard-core global warming deniers (they’ll never listen to reason, IMHO!) but it should provide the objective evidence that rational people can agree on as the basis for action.

Even better, we can also improve this decision making because of my first “Essential Truth,” learning to ask “who else can use this data?”  Think of it: within limits, of course, the more perspectives that are brought into decision making the more likely we are to make sound decisions, because the likelihood of leaving out some important perspective and not analyzing all the possible ramifications is reduced. In the past, we could never do that, because we didn’t have the real-time data, and we couldn’t involve all of those people on a real-time basis.

I suspect that this will be a major issue for management theorists to bat around in coming years, and that our decision-making processes will be fundamentally altered for the better. IMHO, it is this change in decision making, not advances such as automatic regulation of assembly lines or building in feedback loops between manufacturers and customers, is perhaps the most important thing that the IoT will allow. It will have profound impact!

Thanks for the concept, Chris!

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Hallelujah! The Internet of People launches

Most readers of this blog probably already know Rob van Kranenburg, arguably THE leading European Internet of Things theorist. What you may not  know is that, for the past year, he and a core group of IoT leaders have been planning creation of a UK-based global IoT consultancy, “The Internet of People.”

Unfortunately, one of the victims of that effort was a planned collaborationinternet_of_people_small
between Rob and me on an article about the IoT for the Harvard Business Review, but now I’ve got Dave Evans of Cisco as a writing partner, so I ain’t complainin’!

At any rate, there’s glorious news today: The Internet of People has officially launched, and there are more than 100 of us consultants who are already in the fold!

This is going to be an all-star team, so if you’re in need of IoT strategy and other consulting services, I hope you’ll contact us!

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Automated factories: that’s not the IoT’s potential!

It’s easy to see why some people make the assumption that one of the results of the Internet of Things will be fully-automated factories.

After all, if automatic, real-time machine-2-machine data sharing would allow self-starting and self-regulating machinery, wouldn’t that allow us a utopian vision of completely autonomous manufacturing?

Instead, I think Bosch’s Volkmar Denner nailed it with this blog entry. He says that rather than complete automation:

“Instead, it’s about finding ways to increase agility. Putting that into figures, optimizing resource allocation within a more flexible production process can result in a jump in productivity of as much as 30 percent. Our goal is to be able to customize even the smallest unit volumes while retaining optimum productivity, and ultimately leading to achieve optimized multi-variant series production.”

I agree totally that what’s going to happen is an end to centralized management and top-down control of information (see my last post, on “Buckyball Management”!, with decentralized, self-management emerging that could threaten old industry leaders who don’t get it (see my posts about how GE does get it!) :

“… And I’m convinced that this shift will provide opportunities for established companies to offer new business models. But they too need to watch out: the IoTS is shaking up what until now has been very much a closed market, opening it up for entirely new players such as IT companies. Here, the IoTS is not just about connecting objects, machines, and systems. On the contrary, it’s also about how to use the data that this connectivity generates. And instead of using this information only within the plant itself, now everyone along the manufacturing chain can be given access to the data over the internet. Once again, the knowledge gained from these data can be applied to generate new business models.”

Denner says that one of the #IoT services that Bosch — the leading supplier of automotive sensors and one of the leaders in industrial sensors — is developing is predictive maintenance, which innovators such as GE (with its jet turbines) and the railroads (I’ve never traced my ancestry on my father’s side, but I harbor the possibility that I’m descended from the Stephensons, pere et fils, who invented the locomotive, so I have a warm spot in my heart for that industry…) are already doing.  As Denner says, “Having such a solution in place allows organizations to offer their customers new and improved levels of service, including a guarantee of reduced downtimes.”

So don’t count out the human element in manufacturing once the IoT is commonplace: in fact, it will be more important, and more valuable, than ever!

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MQTT: important Internet of Things facilitator?

Posted on 9th May 2013 in automotive, Internet of Things, M2M, manufacturing

As I mentioned at the time, part of the news when IBM announced its new heavy-duty MessageSight appliance to handle the vast quantity of real-time data sharing between sensors on the Internet of Things was that MessageSight would use the MQTT protocol to communicate the data.

MQTT, or Message Queue Telemetry Transport (whew!), is an existing protocol for sharing telemetry-style data which OASIS recently proposed as a standard for M2M data sharing. According to IBM, its primary virtues are “low power consumption, high performance and reliability (which) allow real time updates that can be acted upon immediately,” — important because of the need to reduce sensors’ drain on their batteries. Other types of pervasive devices that might use the protocol include “mobile phones, embedded systems on vehicles, or laptops and full scale computers.”

According to GigaOm, “..it’s already in use for satellite transmissions and in medical and industrial settings where low-bandwidth communications are essential. ” In addition to IBM, it’s already supported by Kaazing, Red Hat, TIBCO, and Cisco.

According to The New York Times, MQTT advocates say it could be the M2M equivalent of the Web’s HTTP protocol.  Co-inventor Andy Stanford-Clark of IBM is one of my fav IoT experimenters (you’ve got to see his TedX talk about how he’s automated his home on the Isle of Wight — and didn’t stop there, making the whole island a laboratory for the IoT!). He and co-inventor Arlen Nipper wrote the first version of MQTT in 1998 for oil platform sensors.

As in several of my recent posts, the automotive industry was singled out by the NYT as one field where MQTT might be applied:

“Vijay Sankaran, director of application development for Ford, said improved message-handling technology will be vital to the company’s plans for automated diagnostics and new consumer services.

“Mr. Sankaran pointed to two examples. In the Focus Electric car, he said, Ford wants to get continual, detailed sensor data on the state and performance of the vehicle’s electric battery, then feed that information into product development.

“And drivers, Mr. Sankaran said, seek to do more things while in their cars. A stock trader, for example, might want to continue trading from the road. If the trader sent in an order to sell 30,000 shares of Apple, he said, that transaction must be reliably and securely communicated.

“’You need an advanced messaging engine for these kinds of services,’ Mr. Sankaran said.”

The Times article points out that for MQTT to achieve its full potential it must be adopted not only by IT companies such as IBM and Cisco, but also by “…industrial technology heavyweights including General Electric, Honeywell, Siemens and United Technologies.

These companies make many of the sensor-equipped big things in the so-called Internet of Things — like jet engines, power turbines and oil field equipment.”

MQTT looks like it will play a major role in allowing harvesting of data from sensor networks, but we’ll have to see how much of an IoT lingua franca it really becomes!

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