Category

Internet of Things (IoT)

Broken Televison

Television, Heal Thyself! Smart Service and the Internet of Things

By Internet of Things (IoT), Manufacturing, Service Lifecycle Management (SLM) No Comments

Television, Heal Thyself!

I was asked by an investment banker to comment on business applications of the Internet of Things (IoT) technologies and specifically on IoT technologies and business models that pertain to this awful word “servitization”: equipment service, remote monitoring, predictive diagnostics and so forth.

Their interest in the topic piqued following a recently published article contrasting the author’s own poor television repair service experience with a hypothetical—but presented as realistic—repair scenario utilizing advanced IoT-based diagnostics. The scenario is given below. I changed the language but kept the essence of the original script intact. Read More

The Money Lender and His Wife (Quentin Metsys, 1514)

Searching for Value in the Internet of Things

By Internet of Things (IoT), IT Strategy 4 Comments

The Internet of Things is Not About Things, Nor is it About the Internet

It seems not a day goes by without seeing breathless headlines predicting the magnitude and the impact of the Internet of Things (IoT).  For instance, Morgan Stanley estimates that by year 2020 there will be 75 billion devices. Harbor Research, at the end of the spectrum, forecasts an order of magnitude lower estimate: 8 billion. Cisco offers 50 billion, Gartner counters with 26 billion, and IDC is right in the middle with a forecast of 30 billion connected devices.

Do you get a feeling that they may not really know? Perhaps they are talking about different “things”? And, at the end of the day, does the number of connected devices really matter? And to whom? Read More

Driver Health Monitoring

By Automotive, Autonomous, Connected, Electric, Shared Vehicles, Internet of Things (IoT) One Comment

Connected Cars and Driver Health Monitoring

I was working with a client on an Internet of Things (IoT) strategy specific to the connected cars industry. Everybody is on the quest for the next IoT’s “killer app”, hoping to get a piece of a pie that is estimated by some to exceed $40B in less than 5 years.

Among the many possibilities enabled by sensor-rich connected cars is using sensors embedded in the steering wheel and the driver’s seat to detect if the driver is about to have a heart attack or suffer another debilitating medical condition. Below is an excerpt from an article in Auto Connected Car News: Read More

Wisdom of Things

By Internet of Things (IoT) No Comments

On a recent Internet radio show I discussed the potential business value of the Internet of Things (IoT) and my views about the accelerators and, the more critical, inhibitors to the evolution of this much advertized concept.

Wisdom of Things

The potential value of the IoT is not in the ability to connect and access remote devices via the Internet. It is in the information gathered and shared by a large number of connected devices in a meaningful fashion that provides a new business value, new business models. To borrow a phrase from social networking, in Wisdom of Crowds, connectedness (in this case among people) enables new value; think of the Internet of Things as facilitating the “Wisdom of Things.”

In his book The Wisdom of Crowds: Why the Many Are Smarter Than the Few and How Collective Wisdom Shapes Business, Economies, Societies and Nations, James Surowiecki argues that the aggregation of information in groups results in decisions that are often better than could have been achieved by any individual member of the group. Truth be told, I am not a big fan of the Wisdom of Crowds theory when it comes to people. But I do believe that the collective information stemming from multiple information producers: sensors, measurement devices, decision support systems and, yes, to some extent, people, can be aggregated to improve decision making and extract greater business value.

IoT narratives often talks about smart connected devices. Some devices, from factory robots to home thermostats are designed to have localized decision making capabilities, and could be considered smart. But many other devices are not much more than connected sensors, for example the Fitbit personal activity tracker or even the proverbial IoT refrigerator that notifies the homeowner to add milk and eggs to the grocery shopping list.

The true “smarts” of the IoT does not happen at the individual device level.  It is a result of aggregating data from multiple heterogeneous devices, both “smart” and “dumb”, and is therefore available and discoverable at the edge of the network.

Conduit vs. Content

The concept of “Wisdom of Things” leads to another observation about the Internet of Things. The potential impact of the IoT is much less a function of how many things are connected and how, but rather it is in exploiting the information they share. In other words, new business models need to focus not on the IoT “pipes”, or the conduits, but rather on the content that flows through them.

Therefore, I do not consider remotely accessible devices in a manner that until recently we used to refer to as machine to machine (M2M) communication as being synonymous with the IoT. M2M applications have been shown to provide tangible and meaningful value, but they tend to focus on individual devices and narrow domains and not on the aggregation of heterogeneous information to gain deeper insight into more complex decision-making domains.

If we accept the notion that IoT business models are predicated on information aggregation, then we begin to better understand and address the barriers to maturing from M2M to IoT, to realize the business impact of the IoT.

 

The Emergence of Application-Specific IoT

By Internet of Things (IoT) 4 Comments

General IoT vs. Application-Specific IoT

2014 Gartner Hype Cycle Special Report

2014 Gartner Hype Cycle

Gartner recently published the 2014 Gartner Hype Cycle Special Report, which evaluates the market perception and penetration for over 2,000 technologies, services and technology trends. Of particular interest to many was the placement of the Internet of Things (IoT) at the top of the Peak of Inflated Expectations. Gartner defines the Peak of Inflated Expectations as: “Early publicity produces a number of success stories—often accompanied by scores of failures. Some companies take action; many do not.”

And, indeed, inflated market size forecast and grandiose visions of IoT reign supreme. Morgan Stanley forecasts that by that by 2020 there will be75 billion connected devices, whereas Harbor Research estimates the same market will consists of a meager 8 billion connected devices. Gartner estimates that by 2020 there will be 26 billion connected devices, IDC counters that with 30 billion connected devices, Cisco says 50 billion… you get the picture.

Do you think they really know? The typical rationale offered by industry analysts is that they use different market and technology taxonomies, hence the vast differences.

On the other hand, does it really matter that much? Read More