Data Is the Hub: How the IoT and Circular Economy Build Profits

Fasten your seatbelts! I think I’ve finally zeroed in on the Internet of Things’ (IoT’s) most important potential economic benefit and how it could simultaneously help us escape the growing global environmental crisis:

make real-time IoT data* the hub of a circular economy and management mentality. It’s both good for the bottom line and the planet.

I started writing about circular business models back in the 90’s, when I consulted on profitable environmental strategies, i.e., those that were good both for the corporate bottom line and the planet.  It galled me that executives who railed about eliminating inefficiency thought reducing waste was for tree-huggers. Semantics and lifestyle prejudices got in the way of good strategy.

Ford’s River Rouge Plant (1952 view)

I could see that it was vital that we get away from old, linear models that began with extracting resources and ended with abandoned products in landfills. Ford’s massive 1 x 1.6 mile River Rouge Plant, the world’s largest integrated factory, was the paradigm of this thinking: ore was deposited at one end, made into steel, and cars came out the other (Hank’s penchant for vertical integration even led him to buy rubber plantations! If you have any illusions about the ultimate impossibility of top-down control, watch the PBS documentary on Ford — he simply couldn’t share power, even with his own son — and it almost ruined the company). The linear model worked for a long time, and, truth to tell, it was probably the only one that was feasible in the era of paper-and-pencil information flow:  it was so hard to gather and transmit information that senior management controlled who got what information, and basically threw it over the transom to the next office.

As for any kind of real-time information about what was actually happening on the factory floor: fugetaboutit: all that was possible was for low-level functionaries to shuffle along the assembly line, taking scheduled readings from a few gauges and writing them on a clipboard. Who knew if anyone ever actually read the forms, let alone made adjustments to equipment based on the readings?

Fast forward to 2015, and everything’s changed!

The image of the circular corporation popped back into my head last week while I was searching for an image of how the IoT really can change every aspect of corporate operations, from product design to supply chain management.  I was happily surprised that when I Googled “circular economy” I found a large number of pieces, including ones from consulting gurus Accenture and McKinsey (the most comprehensive report on the concept is probably this one from the Ellen MacArthur Foundation), about the bottom-line and environmental benefits of switching from a linear (‘take-make-dispose’) pattern.

But how to make the circular economy really function? That’s where the IoT comes in, and, in my estimation, is THE crucial element.

Visualize everything a company does as a circle, with IoT-gathered real-time data as its hub. That’s crucial, because everything in a profitable circular company revolves around this data, shared in real time by all who need it.

When that happens, a number of crucial changes that were impossible in the era of linear operations and thinking and limited data became possible for the first time:

  • you can optimize assembly line efficiency because all components of the factory are monitored by sensors in real time, and one process can activate and regulate another, and/or managers and assembly-line workers can fine-tune processes (think of the 10,000 sensors on the GE Durathon battery assembly line).
  • you can integrate the assembly line with the supply chain and distribution and sales network as never before (provided that you share the real-time data with them), so materials are delivered on a just-in-time basis) and production is dictated by real-time data on sales (the SAP smart vending machine, integrated with logistics, is a great example).
  • you can optimize product redesign and upgrades and speed the process, because sensor data from the products as they are actually used in the field is immediately fed back to the designers, so they have objective evidence of what does, and doesn’t work properly (think of how GE has improved its product upgrade process). No more ignorance of how your products are actually used!
  • from an environmental standpoint, having sensors on key components can make it possible for you to recover and profitably remanufacture them (closing the loop) rather than having them landfilled (I was excited to learn that Caterpillar has been doing this for 40 years (!) through its Reman Program, which “reduces costs, waste, greenhouse gas emissions and need for raw inputs.”).
  • you can create new revenue streams, by substituting services for actual sales of products.  I’ve written before about how GE and RollsRoyce do this with jet engines, helping clients be more efficient by providing them with real-time data from jet turbines in return for new fees, and Deere does it with data feeds from its tractors. Now I learn that Phillips does this, with industrial lighting, retaining ownership of the lighting: the customers only pay for the actual use of the lights. Phillips also closes the loop by taking the lights back at the end of their life and/or upgrading them.

As I’ve written before, creating the real-time data is perhaps the easier part: what’s harder is the paradigm shift the circular economy requires, of managers learning to share real-time data with everyone inside the enterprise (and, preferably, with the supply chain, distribution network, retailers, and, yes, even customers). When that happens, we will have unprecedented corporate efficiency, new revenue streams, satisfied customers, and, equally important reduce our use of finite resources, cut pollution, and tread lightly on the earth.  There you have it: the secret to 21st-century profitability is:

real-time IoT data, at the hub of the circular enterprise.


*Oh yeah, please don’t drop a dime on me with the grammar police about the title: in fact, I’m a retired colonel in the Massachusetts Grammar Police, but I’ve given up the fight on “data.” From my Latin training, I know that data are the plural form of datum, but datum is used so infrequently now and data with a singular verb has become so common that I’ve given up the fight and use it as a singular noun.  You can see the issue debated ad nauseum here

I’ll Speak Twice at Internet of Things Global Summit Next Week

I always love the Internet of Things Global Summit in DC because it’s the only IoT conference I know of that places equal emphasis on both IoT technology and public policy, especially on issues such as security and privacy.

At this year’s conference, on the  26th and 27th, I’ll speak twice, on “Smart Aging” and on the IoT in retailing.

2015_IoT_SummitIn the past, the event was used to launch major IoT regulatory initiatives by the FTC, the only branch of the federal government that seems to really take the IoT seriously, and understand the need to protect personal privacy and security. My other fav component of last year’s summit was Camgian’s introduction of its Egburt, which combines “fog computing,” to analyze IoT data at “the edge,” and low power consumption. Camgian’s Gary Butler will be on the retail panel with me and with Rob van Kranenburg, one of the IoT’s real thought leaders.

This year’s program again combines a heady mix of IoT innovations and regulatory concerns. Some of the topics are:

  • The Internet of Things in Financial Services and the Insurance sector (panel includes my buddy Chris Rezendes of INEX).
  • Monetizing the Internet of Things and a look at what the new business models will be
  • The Connected Car
  • Connected living – at home and in the city
  • IoT as an enabler for industrial growth and competition
  • Privacy in a Connected World – a continuing balancing act

The speakers are a great cross-section of technology and policy leaders.

There’s still time to register.  Hope to see you there!

 

 

Claro’s IoT Strategy Creation Guide: important in own right & symbolically

IoT_strategy_cards

Claro IoT Service Diagram Cards — collect the whole set!

Some IoT advances are as important symbolically (especially as key steps in the IoT’s maturation) as in their own right.

I consider Claro Partners‘s new “A Guide to Succeeding in the Internet of Things” in that vein, both showing that it’s not just enough to create a whizbang IoT device or app — you need a methodical strategy to maximize the benefits– and providing a very practical tool to create such a strategy. Written as the IoT reaches the top of the Gartner Hype Cycle, it aims at helping readers identify and meet real user needs and create viable business models. Based on several conversations at last night’s Boston IoT Meetup, it couldn’t be more timely, as (for example) smart home device sales slump, as reflected in Quirky’s bankruptcy.

Claro, in case you haven’t heard about them before, is headquartered in my favorite “smart city,” Barcelona, and is known for its Clayton Christensen-style emphasis on the opportunities presented by disruptive change (hmm: wonder if they have wei ji ideograms on the wall, LOL?), particularly with the IoT.

The Guide is a quick read, but can inspire you for a long time to come.

It’s divided into four portions, which I’m guessing codify the process that Claro uses internally to brainstorm strategies for its own clients:

  1. Define the challenge. “Identify a user-centric challenge to solve.”
  2. Ideate* the solution. “Create a solution that provides new value to the user.”
  3. Develop the offer. “Map out the ecosystem and interactions of your product and service.”
  4. Plan for production. “Identify resources needed and conduct gap analysis.”

They suggest you follow these steps sequentially, even if you already have a solution in mind, because “the exercises will help you to refine, develop or rethink it.”

Now for the details, which include very specific steps and some very helpful graphic aids.

First, Define the challenge. They stress you need to avoid being seduced by the lure of doing something just because it’s technologically possible. Make sure it meets a real
human need. The initial categories they suggest include:

    • Human Needs FrameworkAgeing population (sweeeeet! My “smart aging” paradigm shift!)
    • Work-life balance
    • Urban life
    • Health and wellbeing
    • Local Communities
    • Education
    • Sustainability/Shopping
    • Tourism, Family.

Then Claro suggests that your team go through a 30-minute process where it uses the four questions in this “human needs framework,” such as “what do people want to control?” and decide which challenge you’re going to design for (assume you could think big and try for one that meets multiple questions).

Second, Ideate the solution.  Similar to my “What can you do now that you couldn’t do before” question, this one asks you to not just use the IoT to refine a current approach to the issue you identified, but to “reimagine entirely new capabilities and value that an IoT service can deliver.”

This 40-min. process includes defining the person facing the challenge and aspects of their life, then brainstorming solutions to meet their real needs and how the IoT could be used to enable that solution.

Third, Develop the offer. They share my concern about proprietary IoT solutions, (which they label “intranet of things, LOL), and instead remind your team to, IFTTT-like,

IoT Service Diagram

IoT Service Diagram

“take advantage of the ecosystem enabled by the IoT to create interconnected services, experiences and business models.” In this process, which they estimate takes 40 minutes, you print out the IoT Service Diagram Cards (see above — I imagine “flipping” them and trading with the other kids on the playground, until our Moms throw out our collections…) and use them to map out how your idea will work, including drawing the data flow (don’t forget my dictum that data flow must be cyclical with the IoT!).  The important questions to ask — make sure to ask all of them! — include:

  • Will the device just provide information to the user or will it act on that information?
  • What are the specific inputs/outputs of the service? (eg. sight, sounds, touch, taste, smell, temperature)
  • Could the device learn through its use over time and adapt its behaviour accordingly?
  • Could the service use existing devices, data streams or interfaces?

Finally, in the fourth step, (30 minutes? Dream on!) the rubber hits the road, and you

IoT Canvas

IoT Canvas

Plan for Production!  Claro warns, “Don’t underestimate the complexity of bringing to life an offer that spans both the physical and digital, Do map out all the elements you’ll need to successfully develop and deliver your IoT offer.”

On the IoT Canvas, you bring together all the crucial considerations, such as manufacturing and logistics, revenues and costs, that must be nailed down to make the product affordable and profitable.  Specifically, Claro says you need to specifically state the offer’s value proposition to the end user, use the questions in each box on the form as prompts, fill out the rest of the canvas with details of the product and service idea, and write down “which resources, capabilities and processes you have, and which you’d need to acquire (gap analysis).”

I agree with Claro that these four steps, especially the last one, are iterative, and you need to revisit each of them throughout the entire conceptual and production process.

I have no doubt that, as IoT technology (especially miniscule, low-energy sensors) and experience continues to evolve, this process will be refined, but Claro has done the entire IoT industry, especially makers and entrepreneurs, a real service by codifying this approach and being willing to share it — after all, the IoT’s all about collaboration! 


*we’ll let them off with a warning from the Grammar Police this time. However, please, no more management babble in the future, OK?

 

IoT for Gamechangers: Talkin’ Smart Cities

Pope Francis wasn’t the only one speaking truth to power at 10 AM this morning: I was a guest again on SAP’s “Coffee Break With Game Changers” (you can catch a rebroadcast in a few hours), talking with hostess Bonnie Graham and SAP’s Ira Berk about smart cities.

Having just read the great bio of Elon Musk, I contrasted the top-down, I-gotta-sign-off-on-every-purchase-over-$10,000 style of Musk (and Steve Jobs, for that matter) with the out-of-control (in the best sense of the term!), bottoms-up approach needed in gigantic, complex, ever-changing cities (blogged on this earlier this week) to make them “smart.” IMHO, smart cities will evolve from a wide range of small, incremental changes, both public and private.

One of my favorite examples that I mentioned was announced today by Mayor Marty Walsh here in the Home of the Bean and the Cod.  The city has already been partnering with Waze for months: it informs Waze of any planned road work and detours, and, in return, Waze gives the city its real-time data to respond to traffic jams. Today the mayor announced that bike-riding Traffic Enforcement Officers will be able to swoop in on double-parking miscreants using Waze data.  Oh yeah, there’s another party to this collaboration: you and I, who make Waze work by reporting traffic and obstacles that we encounter while driving the city’s streets. Perfect example of my IoT “Essential Truth” that we must share data.

There was a lot more on the show: hope you can tune in!

BTW: when Bonnie asked at the end of the show if we’d dust off our crystal balls and predict how the IoT will make smart cities by 2020 — I stuck my neck out and said it would much quicker for the reasons I cited in the above-mentioned post on smart cities, especially the free citywide IoT data network movement spearheaded by Amsterdam.  If you’re in Greater Boston and would like to be in the vanguard of this movement, meet us next Wednesday night at the kewl new InTeahouse space in Cambridge, to plan our strategy to launch the free, citywide (including neighborhoods!) Boston IoT Data Network!

 

Free Citywide IoT Data Networks Will Catapult IoT Spread to Hyperspeed!

One of the truly exciting things about viral digital phenomena is how rapidly they can take hold, outstripping the slow, methodical spread of innovations in the pre-digital era.  I suspect we may be on the verge of that happening again, with an unlikely impetus: the crowdsourced global movement to create free citywide IoT data networks.

We’re been there before, with the movement to open real-time public access to city data bases, beginning when CTO (and later US CIO) Vivek Kundra did it in DC in 2008, then sponsored the Apps for Democracy competition to spark creation of open-source apps using the data (bear in mind this was at a time when you had to explain to many people what an “app” was, since they, and smart phones, were so new).  From the beginning, Kundra insisted that the apps be open source, so that hackers in other cities could copy and improve on them, as they have — worldwide.

I was doing consulting for him at the time, and remember how incredibly electric the early days of the open data movement were — it inspired my book Data Dynamite, and led to similar efforts in cities worldwide, which in turn set the stage for the “smart city” movement as the IoT emerged.

As detailed in my last post, we’re now launching a crowdsourced campaign to make Boston the first US city, and second worldwide (following Amsterdam) to have a free citywide IoT data network — and plan to up the ante by setting of goal to cover the neighborhoods too — not just the downtown.

The Things Network guys plan to build on their accomplishments, announcing this week that they will advise similar crowdfunded networks on five continents (including our Boston project). They place a major emphasis on grassroots development, to avoid subscription-based infrastructures that could be controlled from above and which would limit l0w-cost innovations, especially on the neighborhood scale.  According to founder Wienke Giezeman:

““If we leave this task up to big telcos, a subscription model will be enforced and we will exclude 99% of the cool use cases. Instead, let’s make it a publicly owned and free network so businesses and use cases will flourish on top of it.”

I’ve been a fan of mesh networks back to my days doing disaster and terrorism because they’re self-organizing and aren’t vulnerable because there isn’t a single point of failure. But it’s as much philosophical as technological, because you don’t have to wait for some massive central authority to install the entire system: it evolves through the decisions of individuals (we’re already finding that in Boston: it turns out that our system will be able to tap a number of LoRaWAN gateways that several companies had already installed for their own uses!) The Amsterdam guys share that perspective. Tech lead Johan Stokking says:

“We make sure the network is always controlled by its users and it cannot break at a single point. This is embedded in our network architecture and in our governance.”

Takes me back to my callow youth in the 6o’s: let a thousand apps bloom! (and, BTW, the great Kevin Kelly made this point in his wonderful Out of Control, back in the mid 90’s, especially with his New Rules for the New Economy (I’m going to take the liberty of posting all the rules here, because they are so important, especially now that we have technology such as LoRaWAN that foster them!):

1) Embrace the Swarm. As power flows away from the center, the competitive advantage belongs to those who learn how to embrace decentralized points of control.

2) Increasing Returns. As the number of connections between people and things add up, the consequences of those connections multiply out even faster, so that initial successes aren’t self-limiting, but self-feeding.

3) Plentitude, Not Scarcity. As manufacturing techniques perfect the art of making copies plentiful, value is carried by abundance, rather than scarcity, inverting traditional business propositions.

4) Follow the Free. As resource scarcity gives way to abundance, generosity begets wealth. Following the free rehearses the inevitable fall of prices, and takes advantage of the only true scarcity: human attention.

5) Feed the Web First. As networks entangle all commerce, a firm’s primary focus shifts from maximizing the firm’s value to maximizing the network’s value. Unless the net survives, the firm perishes.

6) Let Go at the Top. As innovation accelerates, abandoning the highly successful in order to escape from its eventual obsolescence becomes the most difficult and yet most essential task.

7) From Places to Spaces. As physical proximity (place) is replaced by multiple interactions with anything, anytime, anywhere (space), the opportunities for intermediaries, middlemen, and mid-size niches expand greatly.

8) No Harmony, All Flux. As turbulence and instability become the norm in business, the most effective survival stance is a constant but highly selective disruption that we call innovation.

9) Relationship Tech. As the soft trumps the hard, the most powerful technologies are those that enhance, amplify, extend, augment, distill, recall, expand, and develop soft relationships of all types.

10) Opportunities Before Efficiencies. As fortunes are made by training machines to be ever more efficient, there is yet far greater wealth to be had by unleashing the inefficient discovery and creation of new opportunities.”

If you really want to exploit the IoT’s full potential, you gotta read the whole book.

Equally important, the Obama Administration announced it will boost smart city app development with a new $160 million smart cities initiative:

“Among the initiative’s goals are helping local communities tackle key challenge such as reducing traffic congestion, fighting crime, fostering economic growth, managing the effects of a changing climate, and improving the delivery of city services. As part of the initiative, the National Science Foundation will make more than $35 million in new grants and the National Institute of Standards and Technology will invest more than $10 million to help build a research infrastructure to develop applications and technology that ‘smart cities’ can use.”

The LoRaWan gateways used in the Amsterdam project are already low cost: only 10 of the $1,200 units covered the downtown area. However, The Things Network hopes to crowdsource an even cheaper, $200 version through a Kickstarter campaign.  If that happens, even small cities will be able to have their own free citywide IoT data networks, and when that happens, I’m confident the IoT will shift into hyperdrive worldwide!

Are you on board?


 

Oh yeah, did you say what about the risks of privacy and security violations with such a large and open system? The Amsterdam lads have thought of that as well, reaching out to Deloitte from the get-go to design in security:

“To make this initiative grow exponentially, we have to take cyber security and privacy into account from the start of the development. Therefore, we have partnered with Deloitte, who is not only contributing to the network with a Gateway, but will also be the advisor on the security and privacy of the network.

“’We translate technology developments in the field of Digital, Data and Cyber Security into opportunities and solutions for our clients. We are therefore happy to support the Things Network as Security & Privacy advisor’ Marko van Zwam, Head of Deloitte Cyber Risk Services.”

Deloitte provides process for nuanced IoT strategy decisions

So much of the Internet of Things is still in the gee-whiz stage that we haven’t seen much in terms of nuanced IoT strategies. By that I mean ones that carefully weigh tradeoffs between companies and consumers to try to find strategies that are mutually beneficial and recognize there are new factors at play in IoT strategies, such as privacy and data mining, that may have positive or negative consequences for the customer/company interplay.

Deloitte’s “University” has made an important step in that direction with its “Power Struggle: Customers, companies and the Internet of Things” paper, co-authored by Brenna Sniderman and Michael E. Raynor.

In it, they explore how to create sustainable strategies that will be mutually beneficial to the customer and company — which are not always immediately apparent, especially when you explore the subtleties of how these strategies might play out in the new reality of the Internet of Things.

The study’s goal was to understand the factors that can distort IoT’s benefits, and instead create win-win IoT strategies.

Sniderman and Raynor suggest there are four quadrants into which a given strategy might fall:

  1. (the sweet spot!) “All’s well: Sufficient value is created, and that value is shared between customers and companies sufficiently equitably such that both parties are better off and feel fairly treated.
  2. “Hobson’s choice: A Hobson’s choice exists when you’re free to decide but only one option exists; thus, it is really no choice at all…. Even when customers come out ahead compared with their former options, their implied powerlessness can lead to feelings of unfairness.
  3. “Gridlock: In their quest for value capture, both sides are pulled in opposite directions, with neither able to move toward an optimal outcome. Here, both parties recognize IoT enablement as something that should lead to success, but neither party is able to reach it, since their competing interests or different value drivers are working at cross purposes.
  4. “Customer is king: Although particular IoT deployments might make economic sense for companies, customers end up capturing a disproportionate share of the new value created, pulling this outcome more in the customers’ favor; Craigslist is an obvious example.”

According to the authors, a key to finding the win-win, “all’s well” solution is the Information Value Loop (which I first discussed last Spring) that creates value out of the vast increase in information made possible by the IoT.

As I mentioned then, “This fits nicely with one of my IoT ‘Essential Truths,’ that we need to turn linear information flows into cyclical ones to fully capitalize on the IoT.” When you do that, it’s possible to design continuous improvement processes that feed back data from actual users to fine tune products and processes.  GE has found it leads to much shorter iterative loops to design improved versions of its products.

Here’s the gussied-up version of the cool hand-drawn visualization from the Deloitte brainstorming session that led to the Information Value Loop (print it & place it on your wall next to the one on privacy and security that I wrote about a while ago):

Deloitte Information Value Loop

The information no longer flows in linear fashion: it’s created from using sensors to record how things act in the real world, then goes through the various stages of the loop, each of which is made possible by one of the new technologies enabling the IoT.  The goal is either enhanced M2M integration among things, or improved actions by humans, and, to be sustainable over time:

“A value loop is sustainable when both parties capture sufficient value, in ways that respect important non-financial sensibilities. For example, retailer-specific and independent shopping apps can use past browsing and purchasing history—along with other behaviors—to suggest targeted products to particular customers, rather than showing everyone the same generic products, as on a store shelf. Customers get what they want, and companies sell more.

…  “The amount of value created by information passing through the loop is a function of the value drivers identified in the middle. Falling into three generic categories—magnitude, risk, and time—the specific drivers listed are not exhaustive but only illustrative. Different applications will benefit from an emphasis on different drivers.”

OK, so how does this theory play out?

Sniderman and Raynor picked a range of IoT-informed strategies to illustrate the concept, some of which may include unintended consequences that would harm/turn off customers or companies. For example, “An ill-considered push for competitive advantage could well overreach and drive away skittish customers. Alternatively, building too dominant an advantage may leave customers feeling exploited or coerced, a position unlikely to prove viable in the long term.”

Understanding the underlying structure of each type of loop is critical, because they naturally pull an IoT strategy in a particular, divergent way.

The example they pick to illustrate the “all’s well” quadrant of results is the dramatic increase in built-in diagnostic technology in cars.  This is of great personal interest: genetic testing has revealed that I am one of the approximately 10% of men who are missing the male car gene: I can’t stand the things, and view them as a big block of metal and plastic just waiting to develop problems (or, ahem, get hit by deer …), so I need all the help I can get. Sniderman and Raynor zero in on maintenance as one area for win-win benefits for drivers and dealers through the IoT:

“Customers often have little understanding of which repairs are necessary, feel inconvenienced by having to go without their car during maintenance periods, and are frustrated by potential overcharges. In response, automakers are embedding sensors that can run a wide range of reliable diagnostics, allowing a car to “self-identify” service issues, rather than relying on customers (“Where’s that squeaking coming from?”) or mechanics (“You might want to replace those brake pads, since I’ve already got the wheels off”). This creates a level of objectivity of obvious customer value and enables automakers to differentiate their products. Interactive features that work with customers’ information can further add value by, for example, potentially syncing with an owner’s calendar to schedule a dealership appointment at a convenient time and reserving a loaner vehicle for the customer, pre-programmed with his preferences to minimize the frustration of driving an unfamiliar car.

In this scenario, both parties collaborate to provide and act on data, in a mutual exchange of value. The customer captures value in multiple ways: He enjoys increased convenience and decreased frustration, improved vehicle performance and longer operating life, reduced maintenance charges, and—since almost everything about this interaction is automated—fewer occasions for perceived exploitation at the hands of unscrupulous service providers.

Value capture extends to companies in the form of ongoing customer interaction. Linking maintenance programming to the dealership encourages customers to return for tune-ups rather than go elsewhere, ideally leading to continued purchases in the long term. OEMs can also access data regarding vehicle maintenance issues and may be able to identify systematic malfunctions worthy of greater attention. Dealers also have an opportunity to make inroads into an untapped market: Currently, just 30 percent of drivers use the dealer for routine maintenance…”

Kumbaya! But then there’s the opposite extreme, according to Sniderman and Raynor, represented by smart home devices, which would lead to the lose-lose, gridlock scenario.  I think they seriously underestimate the understanding already by manufacturers in the field that they need to embrace open standards in order to avoid a range of competing standards (Zigbee, Bluetooth, etc.) that will force consumers to invest in a variety of proprietary, incompatible hubs, and therefore discourage them from buying anything at all.  All you have to do is look at new hubs, such as Amazon’s Echo, which can control devices from WeMo, Hue, Quirky, Wink — you name ’em, to realize that sharing data is already the norm with smart home devices.

Because this missive is getting long, I’ll leave it to you, dear reader, to investigate Sniderman & Raynor’s examples of the “customer is king” scenario, in which the customer grabs too much of the benefit (have to admit, a lot of the location-based IoT retail incentives still give me the creeps: I hate shopping under the best of circumstances, and having something pop up on my phone offering me an incentive based on my past purchases makes a bad experience even worse. How about you?); and the “Hobson’s choice” one, in which usage-based car insurance runs amok and insurers begin to charge unsafe drivers a surcharge — as documented by the devices such as Progressive’s “Snapshot” (I was dismayed to read in the article that Progressive is in fact doing that in Missouri, although I guess it’s a logical consequence of having objective evidence that someone consistently drives unsafely).

I can’t help thinking that the 800-pound gorilla in the room in many of these situations are the Scylla and Charybdis of the IoT, threats to privacy and security, and that makes it even more important that your IoT strategies are well thought out.

They conclude that, from my perspective, data isn’t just enough, you also need the decidedly non-technical tools of judgment and wisdom (aided by tools such as their Information Value Loop) to come up with a sustainable, mutually advantageous IoT strategy:

“Identifying where the bottlenecks lie (using the Information Value Loop), how each party is motivated to respond, and seeking to shape both incentives and the value loop itself puts companies more in control of their destinies.

“Second, taking a hard look at who benefits most from each IoT-enabled transaction, understanding when a lopsided value-capture outcome tips too far and becomes unsustainable, and taking steps to correct it may also lead to long-term success.

“Lastly, an honest assessment of where IoT investments may not have an appreciable benefit—or may decrease one’s potential for value capture—is just as crucial to a company’s IoT strategy as knowing the right places to invest.”

I may quibble with some of their findings, such as those about smart homes, but bravo to Sniderman and Raynor for beginning what I hope is a spirited and sustained dialogue about how to create sustainable, mutually-advantageous IoT strategies!  I’ve weighed in with my Essential Truths, but what are you thinking about this critical issue, often overlooked in our concentration on IoT technologies? 

Share It (Data) and They Will Come: Crowdsourced Citywide IoT Network

I haven’t been as excited about anything for a long time as I am about a global revolution that began last week in Amsterdam!

Cities are rapidly becoming the very visible and innovative laboratories for IoT innovation, which is logical, because they’ve been in the forefront of open data — as I saw first-hand when I was consulting for Vivek Kundra when he opened up vast amounts of real-time data as CTO for the District of Columbia as part of its Apps for Democracy initiative in 2008 that was part of the larger democratizing data movement.

Now there’s an exciting new development in Amsterdam, that really is bringing power to the people: The Things Network, the first crowdsourced free citywide IoT district. Astonishingly, volunteers brought the whole system to launch in only four weeks!

So far, the creators are visualizing a wide range of uses, but I particularly liked a particularly local one for a city synonymous with canals:

“A pilot project to demonstrate the Things Network’s potential will see boat owners in the city (there are many, thanks to its network of canals) able to place a small bowl in the base of their vessel. If the boat develops a leak and starts taking on water, the bowl will use the network to send an SMS alert to a boat maintenance company that will come along and fix the problem.”

How cool is that?  It also illustrates what I think is one of the key intangibles about the IoT: when you empower everyone (and I mean that literally!) by opening up data, people will find more and more innovative IoT devices and services, stimulated by their own particular needs, desires — and sometimes, even pain (that’s why I think even the most optimistic views of the IoT’s impact will be dwarfed as it becomes ubiquitous!).

Even more exciting, the group’s goal is to bring the technology to every city in the world! That, my friends, will be an incredible global game-changer. Think of it: EVERY city will become an open laboratory for change.

The Things Network uses low-power, low-bandwidth LoRaWAN technology to create the network: ten $1,200 hubs covered the whole city!  Having been hiding under a rock, I must admit I’d never heard of LoRaWan. Here are the benefits:

  • don’t need 3G or WiFi to connect with the Internet — no WiFi passwords, mobile subscriptions
  • no setup costs
  • low battery usage
  • long range
  • low bandwidth.

The whole scheme reminds me of the old Andy-Hardy-it’s-crazy-enough-it-might-work thinking:

“Dutch entrepreneur Wienke Giezeman came up with the idea for the Things Network just six weeks ago when he came across a €1,000 ($1,100) LoRaWAN gateway device and realized that with 10 such devices, the whole of Amsterdam could be covered. He pitched his idea at an Internet of Things meetup in the city and received a positive response.

“Work then began to create a community-owned data network that developers could build on top of without any proprietary restrictions. Companies including The Next Web and accountancy giant KPMG have agreed to host gateway devices at their premises, and the City of Amsterdam local authority is enthusiastic about the idea.”

How’s this for a vision?

“Because the costs are very low, we do not have to rely on large telco corporations to build such a network. Instead, we can crowdsource the network and make it public without any form of subscription. Our mission is to enable a network by the users for the users.” (my emphasis)

Most important from a democratizing data standpoint, it will all be open source:

“Our goal is to make the network architecture as decentralized as possible. And avoid any points of failure or control. We already have a community of 10 developers writing network software and equipment firmware.”

Giezeman wants to cut the cost before launching his plan of making the concept worldwide. He will soon launch a Kickstarter campaign to fund production of a smaller, €200 ($220) LoRaWan (vs. the $1,200 current ones). He may offer consulting services to capitalize on the idea, but that’s not the current priority.

That kind of openness and lack of strings attached, IMHO, is going to really lead to incredible innovation!  We’re holding a Boston IoT MeetUp hackathon next month to try to bring similar innovation to The Hub, and wouldn’t it be wonderful if cities everywhere launched a virtuous competition to speed smart cities’ adoption (and, don’t forget: this has huge implications for companies as well: there’s nothing to stop smart companies from creating new products and services to capitalize on the shared data!).

I note Amsterdam is 84 square miles, and The Hub of the Universe is 89 sq. miles, so I suspect the costs would be similar here.  I’m throwing down the gauntlet: let’s make Boston the second IoT city!

Let a thousand neighborhoods bloom!

 

The IoT Can Revolutionize Every Aspect of Small Farming

When the New York Times weighs in on an Internet of Things phenomenon, you know it’s about to achieve mainstream consciousness, and that’s now the case with what I like to call “precision agriculture,” enabled by a combination of IoT sensors in the fields and big data analysis tools.

The combination is potent and vital because an adequate supply of safe food is so central to our lives, and meeting that need worldwide depends increasingly on small farms, which face a variety of obstacles that big agribusinesses don’t encounter.

Chris Rezendes, a partner in INEX Advisors, who’s been particularly active with IoT-based ag startups, pointed out to me in a private communication that the problem is world-wide, and particularly matched to the IoT’s capabilities, because food security is such a ubiquitous problem and because (surprisingly to me) the agricultural industry is dominated more by small farms, not agri-biz:

“… most people do not have an understanding of the dimensions of food security beyond calories. Feeding the world demands more than just calories. It demands higher nutritional quotient, safety, affordability and accessibility.

“And all that translates in many models into a need for a more productive, profitable and sustainable small ag industry.

“Most folks do not realize that that there are nearly 700 million farmers on the planet. In the US alone, we have 2.3 million ag operations (and, BTW, the number of millennials entering the field is nearly doubling each year) — and that is not counting processing, packaging, distribution, or anything related to fisheries. Most of those farms are pretty small … less than 500 acres on average, and when you strip out the conglomerates and the hobbyist farmers, you are left with hundreds of thousands of small businesses averaging nearly $4 million per year in revenue.”

As reported by The Times‘ Steve Lohr, Lance Donny, founder of ag technology start-up, OnFarm Systems, said the IoT’s benefits can be even greater outside the US:

“.. the most intriguing use of the technology may well be outside the United States. By 2050, the global population is projected to reach nine billion, up from 7.3 billion today. Large numbers of people entering the middle class, especially in China and India, and adopting middle-class eating habits — like consuming more meat, which requires more grain — only adds to the burden.

“To close the food gap, worldwide farm productivity will have to increase from 1.5 tons of grain per acre to 2.5 tons by 2050, according to Mr. Donny. American farm productivity is already above that level, at 2.75 tons of grain per acre.

“’But you can’t take the U.S. model and transport it to the world,’ Mr. Donny said, noting that American farming is both highly capital-intensive and large scale. The average farm size in the United States is 450 acres. In Africa, the average is about two acres.

“’The rest of the world has to get the productivity gains with data,’ he said.”

The marketplace and entrepreneurs are responding to the challenge. The Times piece also reported that IoT-enabled ag is now big business, with a recent study by AgFunder (equity crowdfunding for ag tech!) reporting start-ups have snared $2.06 billion in 228 deals so far this year (compared to $2.36 billion in all of 2014, which was itself a record).  When you add in the big funding that companies such as Deere have done in IoT over the last few years (in case you didn’t know it, this 178-year old company has revolutionized its operations with the IoT, creating new revenue streams and services in the process) and the cool stuff that’s even being produced here in Boston, and you’ve got a definite revolution in the most ancient of industries.

Rezendes zeros in on the small farmers’ need for data in order to improve every aspect of their operations, not just yields, and their desire to control their data themselves, rather than having it owned by some large, remote conglomerates. Most of all, he says, they desperately needed to improve their profitability, which is difficult with smaller farms:

“Those 2.3 million farmers will deploy IoT in their operations when they know that the data is relevant, actionable, profitable, secure and theirs.

“They are not going to deploy third-party solutions that capture farmers’ operational intelligence, claim ownership of it, and leverage the farmers’ livelihood for the solution vendors’ strategic goals.

“For example, we went into a series of explorations with one ag co-op in the East this spring, after going into the exploration thinking that we might be able to source a number of productivity enhancement solutions for vegetable growers and small protein program managers. We were wrong.

“These farmers in this one part of a New England state had been enjoying years of strong, if uneven growth in their output. That was not their challenge: their challenge was with profitability.”

Think of small farms near you, which must be incredibly nimble to market their products (after toiling in the fields!) relying heavily on a mix of CSAs, local restaurants that feature locally-sourced foods, and on farmers’ markets. Rezendes says the small farmers face a variety of obstacles because of their need (given their higher costs) to attract customers who would pay prevailing or (hopefully) premium prices, while they face perceptual problems because small farmers must be jacks-of-all-trades:

“They have only one ‘route.’ They market, sell, and deliver in the same ‘call,’ so their stops are often longer than your typical wholesale food routes. They also have only one marketing, sales and delivery team – and that is often the same team that is tilling, planting, watering, weeding, harvesting and repairing, so they often show up on accounts wearing clothes, driving vehicles, and carrying their inventory in containers that aren’t in any manual for slick brand development manual!

“To complicate things, many of their potential customers could not accept the shipment for insurance purposes, because the farmers didn’t have labels that change with exposure to extreme temperature, sunlight or moisture, or digital temperature recorders.”

Who would think that the IoT might provide a work-around for the perceptual barriers and underscore local farms’ great advantage, the quality of the product?  The farmers suggested to the INEX team once they understood the basics of IoT technology that:

“if we could source a low-cost traceability solution that they could attach to their reusable transport items, they thought they could use that data for branding within the co-op and the regional market. This would reduce the time needed to market and sell, document and file.  The farmers also told us that if the solution was done right, it might serve their regulatory, permitting and licensing requirements, even across state lines.”

Bottom line: not only can sensors in the field improve yields and cut costs for fertilizing and water use through precision, but other sensors can also work after the food is harvested, providing intelligence that lets producers prove their safety, enhance their sales productivity, and drive profit that enables re-investment.

What a great example of the IoT at work, and how, when you start to think in terms of the IoT’s “Essential Truths,” it can revolutionize every aspect of your company, whether a 50-acre farm or a global manufacturer!  

The IoT Can Improve Safety and Profitability of Inherently Dangerous Job Sites

You may remember I wrote several months ago about a collaboration between SAP and SK Solutions in Dubai (interesting factoid: Dubai is home to almost 25% of the world’s cranes [assume most of the rest nest at Sand Hill, LOL], and they are increasingly huge, and that makes them difficult to choreograph.

I’m returning to the subject today, with a slightly broader emphasis on how the IoT might manage a range of dangerous job sites, such as mining and off-shore oil rigs, allowing us to do now that we couldn’t do before, one of my IoT Essential Truths.

I’m driven in part by home-town preoccupation with Boston’s bid for the 2024 Olympics, and the inevitable questions that raises on the part of those still smarting from our totally-botched handling of the last big construction project in these parts, the infamous “Big Dig” tunnel and highway project.

I’m one of those incurable optimists who think that part of ensuring that the Olympics would have a positive “legacy” (another big pre-occupation in these parts) would be to transform the city and state into the leading example of large-scale Internet of Things implementation.

There are a couple of lessons from SAP and SK Solutions’ collaboration in Dubai that would be relevant here:

    • The system is real-time: the only way the Boston Olympic sites could be finished in time would be through maximizing efficiency every day. Think how hard that is with a major construction project: as with “for want of a nail the kingdom was lost,” the sensitive interdependence between every truck and subcontractor on the site — many of which might be too small to invest in automation themselves — is critical. If information about one sub being late isn’t shared, in real-time, with all the other players, the delays — and potential collisions — will only pile up. The system includes an auto-pilot that makes immediate adjustments to eliminate operator errors. By contrast, historical data that’s only analyzed after the fact won’t be helpful, because there’s no do-overs, no 2025 Olympics!
    • The data is shared: that’s another key IoT Essential Truth.  “Decision-makers using SK Solutions on a daily basis span the entire organization. Besides health and safety officers, people responsible for logistics, human resources, operations and maintenance are among the typical users.”  The more former information silos share the data, the more likely they are to find synergistic solutions.
    • The system is inclusive, both in terms of data collection and benefits: SK Solutions’ Founder and Inventor Séverin Kezeu, came up with his collision-avoidance software pre-IoT, but when the IoT became practical he partnered with SAP, Cisco, and Honeywell to integrate and slice and dice the data yielded by the sensors they installed on cranes and vehicles and other sources.  For example, the height of these cranes makes them vulnerable to sudden weather changes, so weather data such as wind speed and direction must be factored in, as well as the “machinery’s position, movement, weight, and inertia…. The information is delivered on dashboards and mobile devices, visualized with live 3-D images with customizable views. It’s also incredibly precise.”As a result, by using SAP’s HANA platform, a system developed to reduce construction accidents also makes predictive maintenance of the cranes and other equipment, and lets the construction companies monitor Key Performance Indicators (KPIs) such as asset saturation, usage rates, and collisions avoided.  McKinsey reports that construction site efficiency could improve dramatically due to better coordination: “One study found that buffers built into construction project schedules allowed for unexpected delays resulting in 70 to 80 percent idle time at the worksite.Visibility alone can allow for shorter buffers to be built into the construction process.”

Several other great IoT solutions come to mind at the same time, both relating to dangerous industries. Off-shore oil rigs and mining were treated at length in the recent McKinsey omnibus IoT forecast, “The Internet of Things: Mapping the Value Beyond the Hype:”

  • off-shore rigs: “Much of the data collected by these sensors [30,000 on some rigs] today is used to monitor discrete machines or systems. Individual equipment manufacturers collect performance data from their own machines and the data can be used to schedule maintenance. Interoperability would significantly improve performance by combining sensor data from different machines and systems to provide decision makers with an integrated view of performance across an entire factory or oil rig. Our research shows that more than half of the potential issues that can be identified by predictive analysis in such environments require data from multiple IoT systems. Oil and gas experts interviewed for this research estimate that interoperability could improve the effectiveness of equipment maintenance in their industry by 100 to 200 percent.” (my emphasis). 
  • mining: “In one mining case study, using automated equipment in an underground mine increased productivity by 25 percent. A breakdown of underground mining activity indicates that teleremote hauling can increase active production time in mines by as much as nine hours every day by eliminating the need for shift changes of car operators and reducing the downtime for the blasting process. Another source of operating efficiency is the use of real-time data to manage IoT systems across different worksites, an example of the need for interoperability. In the most advanced implementations, dashboards optimized for smartphones are used to present output from sophisticated algorithms that perform complex, real-time optimizations. In one case study from the Canadian tar sands, advanced analytics raised daily production by 5 to 8 percent, by allowing managers to schedule and allocate staff and equipment more effectively. In another example, when Rio Tinto’s (one mine) crews are preparing a new site for blasting, they are collecting information on the geological formation where they are working. Operations managers can provide blasting crews with detailed information to calibrate their use of explosives better, allowing them to adjust for the characteristics of the ore in different parts of the pit.”
 In all of these cases, the safety and productivity problems — and solutions are intertwined.  As McKinsey puts it:
“Downtime, whether from repairs, breakdowns, or maintenance, can keep machinery out of use 40 percent of the time or more. The unique requirements of each job make it difficult to streamline work with simple, repeatable steps, which is how processes are optimized in other industries. Finally, worksite operations involve complex supply chains, which in mining and oil and gas often extend to remote and harsh locations.”
Could it be that the IoT will finally tame these most extreme work situations, and bring order, safety, and increased profitability?  I’m betting on it.

Eureka! MYLE TAP: Nice Example of IoT Letting You Do Something You Couldn’t

I like to occasionally feature products that aren’t earth-shaking in their own right (such as the cameleon shoes that can change their appearance with the swipe of an app) , but nicely illustrate one of my IoT acid tests: what can you do that you couldn’t do before?

I love those, because they can get our creative juices boiling to think of other unprecedented IoT devices.

The MYLE TAP Thought Recorder

Here’s a nice example that I suspect may itself facilitate a lot of “Archimedes Moments” (just coined that one, LOL), where IoT users will leap from their baths and run nude through the streets, shrieking “Eureka,” because of their sudden insights into some great new IoT device (actually not sure of that image.  Are IoT enthusiasts slim and attractive?),

One little factoid really makes this one come alive: “the average person generates over 70,000 thoughts a day.” Now that’s a staggering unstructured data challenge!

Might be of particular interest, Dear Readers, to those of us on the far side of 50 who have a ton of great ideas but, how shall we say this delicately, don’t always remember them 15 minutes later).

At any rate, the crowd-funded ($83,707 raised so far, by 755 people in 15 days, compared to a $50,000 goal. As of this writing the campaign goes for 16 more days, so you can still get in on the ground-floor.) MYLE TAP will allow users to effortlessly record their thoughts in real-time (which, BTW, is a crucial element in how the IoT really transforms everything: instead of limited data, obtained retroactively, we can get limitless data now, when we can still act on it).

To activate the attractive device you simply tap it.  It understands 42 languages right out of the box!

There are some really neat components of the device that could really make your life a lot simpler because you can speak what you want to record (I don’t know about you, but the more I learn about the powers of Siri and her friends, the more I think voice-interface is really the way to go in the future, especially for tech-averse seniors, the targets of my Smart Aging concept). As the site says, “your saved notes are analyzed by context to generate you meaningful results via smartphone applications.” Here are the first uses:

  • Calorie Counter: “’I had one Caesar salad and one big apple.’ MYLE calculates how many calories you have consumed.”
  • Budget & Spending: “’Spent $7 on coffee and $40 on gas’, and MYLE enters it into your personal and business expense tracker.”  IMHO, this could be a REAL value!
  • Grocery List: “Tell MYLE ‘buy eggs, milk, flour,’ Your shopping list is built automatically.”
  • Calendar: “Tell MYLE ‘Pick Sophia up from school at four,’ and a new item is added to your calendar.”
  • Social Media: “Share your memorable event or experience. One tap can post can post it on your Facebook or Twitter account.”
  • Exercise: “Excercise with your MYLE TAP. Build and keep records of your progress.”

I can already do a lot of these things with my iPhone and Apple Watch, and perhaps the Watch will eventually do all these things once developers have created new apps, but I like the idea of a single, snazzy-looking device that can do all of them. And, smart people that they are, the MYLE developers have developed an open SDK and API. Once the IFTTT community gets hold of it, they’ll come up with ideas to extend the device’s utility that the MYLE folks never would have conceived of!

The MYLE TAP — doing something that we couldn’t do before!


 

Here are the technical details, courtesy of Atmel:

“Based on an Atmel | SMART SAM4S MCU, the super compact and lightweight gadget is equipped with an accelerometer, a Bluetooth Low Energy module, a few LEDs and a built-in battery capable of running up to a week on a single charge. MYLE TAP boasts some impressive memory as well, with a storage capacity of up to 2,000 voice notes.”