I’ll be on SAP Radio Again Today: the IoT and Big Data

Posted on 17th December 2014 in collaboration, data, Essential Truths, Internet of Things, management, manufacturing, open data, paradigm shift, strategy

I’ll be on SAP’s “Coffee Breaks With Game Changers” radio again today, live @ 2 EST, appearing again with SAP’s David Jonker, again talking about the IoT and Big Data.  This time I plan to speak about:

  • Integrating real-time and historic data in decision-making:  in the past, it was so hard to glean real-time operating data that we had to operate on the basis of inferring about how to manage the future based on analysis of past data.  Now we have a more difficult challenge: learn to balance past and real-time data.
  • Sharing data in real-time: In the past, data trickled down from top management and might (or might not) eventually get to operators on the shop floor.  Now, everyone can get immediate access to it. Will senior managers continue to be the gatekeepers, or will everyone have real-time access to the data that might allow them to do their jobs more effectively (for example, fine-tuning production processes).

  • Revolutionizing decision-making: Decision-making will also change, because of everyone being able to have simultaneous access to data. Does it really make sense any more for sequential decision-making by various siloed departments when they might all benefit by making the decisions simultaneously and collaboratively, based on the data?

Tune in!

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My #IoT predictions for 2015

Posted on 10th December 2014 in collaboration, data, Essential Truths, health, home automation, Internet of Things, m-health, M2M, management, manufacturing, open data, paradigm shift, privacy, Quantified Self, security, smart home, strategy, supply chain, voice-overs

I was on a live edition of “Coffee Break With Game-Changers” a few hours ago with panelists Sherryanne Meyer of Air Products and Chemicals and Sven Denecken of SAP, talking about tech projections for 2015.

Here’s what I said about my prognostications:

“I predict that 2015 will be the year that the Internet of Things penetrates consumer consciousness — because of the Apple Watch. The watch will unite both health and smart home apps and devices, and that will mean you’ll be able to access all that usability just by looking at your watch, without having to fumble for your phone and open a specific app.

If Apple chooses to share the watch’s API on the IFTTT – If This Then That — site, the Apple phone’s adoption – and usability — will go into warp speed. We won’t have to wait for Apple or developers to come up with novel ways of using the phone and the related devices — makers and just plain folks using IFTTT will contribute their own “recipes” linking them. This “democratization of data” is one of the most powerful – and under-appreciated – aspects of the IoT. In fact, Sherryanne, I think one of the most interesting IoT strategy questions for business is going to be that we now have the ability to share real time data with everyone in the company who needs it – and even with supply chain and distribution networks – and we’ll start to see some discussion of how we’ll have to change management practices to capitalize on this this instant ability to share.

(Sven will be interested in this one) In 2015, the IoT is also going to speed the development of fog computing, where the vast quantities of data generated by the IoT will mean a switch to processing data “at the edge,” and only passing on relevant data to the cloud, rather than overwhelming it with data – most of which is irrelevant.

In 2015 the IoT is also going to become more of a factor in the manufacturing world. The success of GE’s Durathon battery plant and German “Industry 4.0” manufacturers such as Siemans will mean that more companies will develop incremental IoT strategies, where they’ll begin to implement things such as sensors on the assembly line to allow real-time adjustments, then build on that familiarity with the IoT to eventually bring about revolutionary changes in every aspect of their operations.

2015 will also be the year when we really get serious about IoT security and privacy, driven by the increasing public concern about the erosion of privacy. I predict that if anything can hold back the IoT at this point, it will be failure to take privacy and security seriously. The public trust is extremely fragile: if even some fledgling startup is responsible for a privacy breach, the public will tend to tar the entire industry with the same brush, and that could be disastrous for all IoT firms. Look for the FTC to start scrutinizing IoT claims and levying more fines for insufficient security.”

What’s your take on the year ahead? Would love your comments!

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Is GE the future of manufacturing? IoT + nanotech + 3D-printing

Posted on 5th December 2014 in 3-D printing, collaboration, design, energy, environmental, Internet of Things, M2M, maintenance, management, manufacturing, open data, strategy

The specific impetus for this post was an article in The Boston Globe about heart stents that fit perfectly because they’re 3-D printed individuallly for each patient.

GE jet engine 3-D-printed fuel nozzle

That prompted me to think of how manufacturing may change when three of my favorite technologies — nanotech, 3-D printing and the Internet of Things — are fully mature and synergies begin (as I’m sure they will) to emerge between the three.

I’m convinced we’ll see an unprecedented combination of:

  • waste elimination: we’ll no longer do subtractive processes, where a rough item is progressively refined until it is usable.  Instead, products will be built atom-by-atom, in additive processes where they will emerge exactly in the form they’re sold.
  • as with the stents, products will increasingly be customized to the customer’s exact specifications.
  • the products will be further fine-tuned based on a constant flow of data from the field about how customers actually use them.

Guess what?  The same company is in on the cutting edge of all three: General Electric (no, I’m not on their payroll, despite all my fawning attention to them!):

  • Their Industrial Internet IoT initiative is resulting in dramatic changes to their products, with built-in sensors that relay data constantly to GE and the customer about the product’s current status, allowing predictive maintenance practices that cuts repair costs, optimizing the device’s performance for more economical operations, and even allowing GE to switch from selling products to leasing them, with the lease price determined dynamically using factors such as how many hours the products are actually used.  Not only that, but they practice what they preach, with 10,000 sensors on the assembly line at their Durathon battery plant in Schenectady, plus sensors in the batteries themselves, allowing managers to roam the plant with an iPad to get instant readings on the assembly line’s real-time operation, to fine-tune the processes, and to be able to spot defective batteries while they are still in production, so that 100% of the batteries shipped will work.
    They’re also able to push products out the door more rapidly and updating them quicker based on the huge volumes of data they gather from sensors built into the products: “… G.E. is adopting practices like releasing stripped-down products quickly, monitoring usage and rapidly changing designs depending on how things are used by customers. These approaches follow the ‘lean start-up’ style at many software-intensive Internet companies. “’We’re getting these offerings done in three, six, nine months,’ he [William Ruh] said. ‘It used to take three years.’”
  • They’ve made a major commitment to 3-D printing, with 100,000 3-D printed parts scheduled to be built into their precision LEAP jet engines — a big deal, since there’s not a great deal of fault tolerance in something that may plunge to the earth if it malfunctions! As Bloomberg reported, “The finished product is stronger and lighter than those made on the assembly line and can withstand the extreme temperatures (up to 2,400F) inside an engine.”  They’re making major investments to boost the 3-D printers’ capacity and speed.  Oh, and did I mention their precedent-setting contest to crowd-source the invention of a 3-D printed engine mount?
  • They’re also partnering with New York State on perhaps the most visionary technology of all, nanotech, which manipulates materials on the molecular level. GE will focus on cheap silicon carbide wafers, which beat silicon chips in terms of efficiency and power, leading to smaller and lighter devices.

GE is the only member of the original Dow-Jones Index (in 1884) that still exists. As I’ve said before, I’m astounded that they not only get it about IoT technology, but also the new management practices such as sharing data that will be required to fully capitalize on it.

Thomas A. Edison is alive and well!

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Disney MagicBands: as important symbolically for IoT as substantively!

Posted on 25th November 2014 in Internet of Things, management, marketing, mobile, privacy, retail, security, services, wearables

(I’ve been meaning to write about this particular IoT device for a long time — my apologies for the delay)

I have no objective evidence for this, but I suspect that many C-level executives first learned about e-commerce when they placed personal orders during the Christmas season of 1995. Thus, Amazon deserves a disproportionate share of credit for launching the e-commerce era.

Magic Bands play a number of roles at Disney parks

Similarly, I suspect that many C-level executives’ first direct experience with the Internet of Things has come, or may come this holiday season, with their family’s first visit to Disneyworld since Disney began the beta testing of its MagicBands, which are arguably the most high-profile public IoT devices so far.

IMHO, Disney deserves a lot of credit for such a public IoT project, especially many of the initial reviews were decidedly mixed due to technical and management glitches — risking irritating customers. 

The project reportedly cost north of $1 billion.

The major lesson to decision makers in other industries to be gained from the MagicBand is my favorite IoT “Essential Truth“: who else can use this data?

Disney uses the band data, either by itself, or aggregated with other visitors, to improve almost every aspect of park operations, marketing, and the customer experience — illustrating the versatility of IoT devices:

  • control logistics, speeding entry to the park and individual rides
  • coordinate outside transportation
  • balance demand for various rides
  • add new functionality to existing technology such as the Disney app
  • control mechanical systems, such as hotel door locks
  • add a social component (and avoid the stresses of families getting
  • handle and speed in-park financial transactions
  • personalize the park experience and improve customer satisfaction
  • harvest and analyze big data on customer preferences.

The bands, which work because they have RFID chips inside, are worn on your wrist throughout your stay at the parks. When you book the trip, Disney lets you choose your favorite color, and the band comes in a presentation box with your name on it.

Before leaving, you can program it in conjunction with the My Disney Experience app and web page, entering key choices such as hotels, your favorite rides (FastPass+), dinner reservations, etc., and your credit card info so that they can be used to pay for meals and merchandise.

Disney warns visitors not to pack the bracelets in their luggage, because they are even used to board the transportation from the Orlando airport.

Putting aside the programming involved, this had to be a tremendous logistical challenge, changing the hotel locks, installing readers at each ride, putting readers in the restaurants and shops, which probably accounts for many of the glitches that customers reported during the pilot phase.

My future son-in-law, Greg Jueneman, who knows EVERYTHING about Disneyland, weighs in from a customer standpoint:

“I think they take the spontaneity out of a Disney World vacation. Everything has to be planned in advance and a schedule has to be followed. As a technology they are cool, I’m sure Disney had lots of plans for them but so far the only real thing that they do is open your hotel room without a “key” and allow you to pay for things without your cards (I’m sure Disney loves that! – some blogs Ifollow have said that spending with Magic Bands is up 40%, that’s impressive!).”

As you can imagine, there are also important data privacy and security issues: on one hand, it would probably be very cool to have Mickey come up to you and say “happy 5th birthday, Jeremy,” but that could also creep parents out, and you’d be worried about someone running up a tab on your credit card if you mislaid the band.

From my reading of the most recent media coverage, it appears that most of the beta test problems have been worked out, and that Disney is fully-committed to universal use of the bands in the future.

If you’re visiting Disney this holiday season, think about possible IoT strategy lessons for your company from the MagicBand:

  • marketing: how it can personalize the customer experience and increase sales?
  • transactions: how can it streamline transactions (have to think that Apple looked carefully at this in designing Apple Pay)?
  • operations: how can real-time data from many users help streamline operations and reduce congestion?

Maybe you can write off the family vacation as research! Have fun.

 

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I’ll be on “Game Changer” Radio Today @ 3 EST Talking About IoT

Posted on 12th November 2014 in aging, collaboration, data, Essential Truths, Internet of Things, M2M, management, open data, paradigm shift, Quantified Self, security, seniors, strategy

Huzzah!  I’ll be a guest on Bonnie Graham’s “Coffee Break With Game Changers” show live, today @ 3 PM to discuss the Internet of Things. SAP Radio

Other guests will include David Jonker, sr. director of Big Data Initiatives at SAP, and Ira Berk, vice-president of Solutions Go-to-market at SAP, who has global responsibility for the IoT infrastructure and middleware portfolio.

Among other topics that I hope to get to during the discussion:

  • The “Collective Blindness” meme that I raised recently — and how the IoT removes it.
  • The difficult shift companies will need to make from past practices, where information was a zero-sum game, where hoarding information led to profit, to one where sharing information is the key. Who else can use this information?
  • How the IoT can bring about an unprecedented era of “Precision Manufacturing,” which will not only optimize assembly line efficiency and eliminate waste, but also integrate the supply chain and distribution network.
  • The sheer quantity of data with the IoT threatens to overwhelm us. As much as possible, we need to migrate to “fog computing,” where as much data as possible is processed at the edge, with only the most relevant data passing to the cloud (given the SAP guys’ titles, I assume this will be of big interest to them.
  • The rise of IFTTT.com, which means device manufacturers don’t have to come up with every great way to use their devices: use open standards, just publish the APIs to IFTTT, and let the crowd create creative “recipes” to use the devices.
  • Safety and security aren’t the other guy’s problem: EVERY device manufacturer must build in robust security and privacy protections from the beginning. Lack of public trust can undermine everyone in the field.
  • We can cut the cost of seniors’ care and improve their well being, through “smart aging,” which brings together Quantified Self fitness devices that improve their care and make health care a doctor-patient partnership, and “smart home” devices that automate home functions and make them easier to manage.

Hope you can listen in.  The show will be archived if you can’t make it for the live broadcast .

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Perhaps Most Important Internet of Things Essential Truth: Everything’s Linked

Posted on 11th November 2014 in Essential Truths, Internet of Things, M2M, management, manufacturing, marketing, paradigm shift, strategy, supply chain

PROCEED WITH CAUTION!

You see, I’m thinking out loud (that accounts for that sound of gears grinding….) — I really am writing this post as I mull over the subject for the first time, so you’re forewarned that the result may be a disaster — or insightful. Bear with me…

I’m working on a book outline expanding on “Managing the Internet of Things Revolution,” the introduction to IoT strategy for C-level executives that I wrote for SAP. One of the things I’ve been looking for is a theme that would bring together all of the book’s parts, which include product design, manufacturing, marketing and corporate organization, among other topics.

I think I’ve got that theme, and I think it may be the most Essential Truth of all the ones I’ve written about regarding the IoT:

Everything’s Linked!

When you think about it, there have been a lot of dead-ends in business in the past:

  • we haven’t been able to know how customers used our products. We’ve actually got a lot more information about the ones that failed, because of warrantee claims or complaints, than we have about the ones that worked well, because that information was impossible to gather.
  • data that could help workers do their work better has always come from top down, filtered by various levels of management and only delivered after the fact.
  • customers can’t get the full value of our products because they operate in isolation from each other, and often were slow to react to changing conditions.
  • assembly-line machinery has frequently been hard to optimize, because we really didn’t know how it was operating — until it broke down.
  • key parts of the operation, such as supply chain, manufacturing, and distribution, have been largely independent, without simultaneous access to each other’s status.

With the Internet of Things, by contrast, everything will be linked, and that will change everything:

  • we’ll get real-time data about how customers are using our products. Most radically, that data may even allow us, instead of selling products and then severing our ties to the customer as in the past, to instead lease them the products, with the pricing dependent on how they actually use the products and the value they obtain from them.
  • everyone in the company can (if your management practices allow!) have real-time access to data that will help them improve their decision making and daily operations (hmm: still looking for an example of this one: know any companies that are sharing data on a real-time basis??).
  • products will work together, with synergistic results (as with the Jawbone UP turning on the NEXT), with their operation automatically triggered and coordinated by services such as IFTTT.
  • the assembly line can be optimized because we’ll be able to “see” into massive equipment to learn how it is operating — or if it needs repairs in time to avoid catastrophic failure.
  • access to that same data may even be shared with your supply chain and distribution network — or even with customers (again, looking for a good example of that transformation).

There’s won’t be dead ends or one-way streets where information only flows one way. Instead, they’ll be replaced by loops (in fact, I thought loops might be an alternative theme): in many cases, data will be fed back through M2M systems so things can be optimized.

If that’s the case, we’ll be able to increase the use and value of tools such as systems dynamics software, that would help us model and act on these links and loops. Instead of massive oscillations where we’re forced to make sudden, major corrections when data finally becomes available, machinery will be largely self-regulating, based on continuous feedback. We’ll delight customers because products will be more dependable and we’ll be able to fine-tune them by adding features based on actual knowledge of how the products work.  Workers will be more efficient, and happier, because they’ll be empowered. We’ll tread lightly on the earth, because we’ll use only what we need, precisely when we need it.

By George, I think I’ve got it! I’m excited about this vision of the Internet of Things linking everything. What do you think?? Please let me know! 

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Egburt: key tool to make IoT pay off NOW

Posted on 31st October 2014 in data, energy, Internet of Things, maintenance, management, retail

As I’ve remarked before, writing the Managing the Internet of Things Revolution e-guide to IoT strategy for SAP was an eye-opener for me, shifting my attention from the eye-popping opportunities for radical reinvention through the IoT (products as services, user-customizable products, seamless smart phone-car integration, etc.) to very practical ways the IoT could begin optimizing companies’ current operations TODAY (BTW: much-deserved shout-out to SAP’s Mahira Kalim: it was dialogue with her that led to this insight!).

Egburt

In that vein, I was blown away at this week’s IoT Global Summit by the roll-out of Egburt by Camgian.

Egburt stresses two crucial, inter-related obstacles to widespread IoT solution deployment by mainstream businesses:

  • low cost-of-ownership sensing (by using very little energy, thereby extending battery life)
  • reducing potentially huge cloud-computing costs (because of the sheer volume of 24/7 sensor data) by allowing “fog computing,” where the processing would be done right at the collection process, with only the small amount of really relevant data being passed on to a central location.

The highlight of the product launch was a live demo of Egburt in real-time use at a chain of dollar stores in the south, monitoring a wide range of factors, from floor traffic to freezer operation (Camgian pointed out the system paid for itself in the first month of operation when it recorded failure of a freezer when the store was unoccupied, in time for immediate repairs to avoid loss of frozen foods).

Think about it: the very volume of Big Data possible with constant monitoring by a whole range of sensors can also be the IoT’s undoing. Since all that’s of interest in many cases is data that deviates from the norm, doesn’t it make sense to process that data at the collection point, then only pass on the deviations?

The company has targeted three IoT segments:

  • retail to reduce heating and lighting, and maximize sales through tracking foot traffic patterns to optimize product placement.
  • infrastructure: with sensors at key points such as bridges that will detect flooding and stress.
  • smart cities: optimizing emergency response.

In a sponsored white paper by ABI Research, “Evolution of the Internet of Things: from connected to intelligent devices,” they documented the benefits of going beyond first-generation, “connected,” IoT devices that were just sensors collecting and passing on data, to a second generation of “intelligent ones” such as Egburt the combine sensors and processing and offer not only lower operating costs but also — critically — more data security:

  • “Communication Latency: Handling more processing at the network’s edge reduces latency from the device’s actions. Use cases that are highly time-sensitive and require immediate analysis of, or response to, the collected sensor data are, in general, unfeasible under cloud- centric IoT architectures, especially if the data are sent over long distances.
  • “Data Security: By and large, sensitive and business-critical operational data are safer when encrypted adequately on the endpoint level. Unintelligent devices transmitting frequent and badly secured payloads to the cloud are generally more vulnerable to hacking and interception by unauthorized parties. Additionally, many enterprises may need to secure and control their machine data on the edge level for compliance reasons.

  • “Total Cost of Ownership: Perhaps most significantly, the paradigm shift can reduce the IoT systems’ total cost of ownership, or TCO. Intelligent devices are usually more expensive than less sophisticated alternatives, but their TCO over a long service life can be substantially lower.”

IMHO, for the IoT to be widely deployed, especially in SMEs, devices such as Egburt that reduce the cost of collecting and processing data are a critical component.

(PROMINENT DISCLAIMER: I actually won a FitBit in Camgian’s drawing at the conference. That has no impact on this review. Had I won the iPhone 6 that they also gave away, I would have totally been in the bag, LOL…)

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Live Blogging from IoT Global Summit

Posted on 27th October 2014 in cities, data, environmental, government, home automation, Internet of Things, M2M, management, mobile, open data, privacy, retail, security, smart home, strategy

I’ll be live-blogging for the next two days from the 2nd Internet of Things Global Summit.

  • Edith Ramirez, FTC chair:
    • potential for astounding benefits to society, transforming every activity
    • risks: very technology that allows this can also gather info for companies and your next employer
    • possible consumer loss of confidence in connected devices if they don’t think privacy w
    • 3 challenges:
      • adverse uses
      • security of the data
      • collection of the data
    • key steps companies should take:
      • security front and center
      • deidentify data
      • transparent policies
    • data will provide “startlingly complete pictures of us” — sensors can already identify our moods, even progression of neurological diseases
    • how will the data be used? will TV habits be shared with potential employers? Will it paint picture of you that others will see, but you won’t
    • will it exacerbate current socio-economic disparities?
    • potential for data breaches such as Target grows as more data is collected
    • FTC found some companies don’t take even most basic protections. Small size and cheap cost of some sensors may inhibit data protections
    • steps:
      • build security in from beginning
      • security risk assessment
      • test security measures before launch
      • implement defense and depth approach
      • encryption, especially for health data.
    • FTC action against TrendNet
    • follow principle of “data minimization,” only what’s needed, and dispose of it afterwards.
  • she’s skeptical of belief that there should be no limits on collection of data (because of possible benefits)
    • de-identified data: need dual approach — commit to not re-identify data
    • clear and simple notice to consumers about possible use of data.
    • Apple touting that it doesn’t sell data from Health App — critical to building consumer trust
    • transparency: major FTC priority. FTC review of mobile apps showed broad and vague standards on data collection & use.
  • Ilkka Lakaniemi, chair, FIWARE Future Internet PPP, EU perspective on IoT:
    • lot easier to start IoT businesses in Silicon Valley because of redundant regulations in EU
    • Open Standard Platform + Sustainable Innovation Ecosystem. “Synergy Platform”
  • Mark Bartolomeo,   vp of integrated solutions, Verizon:
    • Bakken Shale area visit: “landscape of IoT” solutions — pipeline monitoring, water monitoring, etc.
    • concerned about rapid urbanization: 30% of city congestion caused by drivers looking for parking. $120B wasted in time and fuel yearly.
    • cars: “seamless nodes” of system.
    • market drivers & barriers:
      • increased operational efficiency, new revenue streams, better service, comply with regulators, build competitive edge
      • fragmented ecosystem, complex development, significant back end obstacles
    • they want integrated systems.
    • need to remove barriers: aging infrastructure, congestion, public safety, economics
    • remove complexity
    • economies of scale: common services
    • trend to car sharing, smart grid
    • yea: highlighting intellistreets — one of my 1st fav IoT devices!!
    • Verizon working primarily on parking & traffic congestion on the East Coast, and water management in CA.

Smart Cities:

  • Nigel Cameron: nation-state receding, cities and corporations on ascendency
  • Sokwoo Rhee, NIST: Cyber-Physical Systems — emphasis on systems dynamics, data fed back into system, makes it autonomous.  Did Smart America Challenge with White House. Fragmentation on device level. Demonstrate tangible effects through collaborations. Examples: health care systems, transactive energy management, smart emergency response, water distribution, air quality. 24 projects.  Round Two is application of the projects to actual cities. Now 26 teams.
  • Joseph Bradley, VP, IoT Practice, Cisco Consulting: value isn’t in the devices, but the connections. Intersection of people, data, process, and things. Increase City of Nice’s parking revenue 40-60% without raising taxes through smart parking. They project $19 trillion in value over 10 years from combo of public and private innovations. Smart street lighting: reduces crime, property values increase, free wi-fi from the connected street lights. Barcelona is Exhibit A for benefits. Need: comprehensive strategy (privacy is a contextual issue: depends on the benefits you receive), scalability, apps, data analytics, transparency, powerful network foundation, IoT catalyst for breaking down silos, IoT must address people and process.
  • Ron Sege, chair and ceo of Echelon Corp: got started with smart buildings, 25 yrs. old. Why now with IoT: ubiquitous communications, low cost, hyper-competition, cloud. They do outdoor & indoor lighting and building systems. Challenges: move to one infrastructure/multiple use cases, will IT learn about OT & visa-versa?, reliability: critical infrastructure can’t fail & must respond instantly.
  • Christopher Wolf, Future of Privacy Forum: flexible, use-based privacy standards. Industry-wide approach to privacy: auto industry last week told NISTA about uniform privacy standards for connected cars (neat: will have to blog that…).
  • Peter Marx, chief innovation officer, City of LA:  big program to reduce street lights with LEDs: changed whole look of city at night & saves lot of money. 6 rail lines being built there. Adding smart meters for water & power. EV chargers on street lights. Held hackathon for young people to come up with ideas to improve city. Procurement cycles are sooo arcane that he suggests entrepreneurs don’t do business with city — he just tries to enable them.

Outside the City:

  • Darrin Mylet, Adaptrum: Using “TV white space spectrum” in non-urban areas. Spectrum access critical:need mix of spectrum types. Where do we need spectrum? Most need in non-line-of-sight areas such as trees, etc. Examples: not only rural, but also some urban areas (San Jose); Singapore; Africa; redwood forests;
  • Arturo Kuigami, World Bank: examples in developing nations: (he’s from Peru); most of global migration is to smaller cities; look at cities as ecosystems; “maker movement” is important — different business models: they partnered with Intel and MIT on “FabLabs” in Barcelona this year. MoMo — water access point monitoring in Tanzania.  Miroculus: created by a global ad hoc team — cheap way to make cancer diagnosis: have identified 3-4 types of cancers it can diagnose. Spirometer to measure COPD, made by a 15-year old! “IoT can be a global level playing field.”
  • Chris Rezendes, INEX Advisors: Profitable sustainability: by instrumenting the physical world, we can create huge opportunities for a wide range of people outside our companies. Focusing on doing a better job of instrumenting and monitoring our groundwater supplies: very little being done in SW US right now (INEX investing in a startup that is starting this monitoring). If we have better data on groundwater, we can do a better job of managing it. “Embrace complexity upfront” to be successful.
  • Shudong Chen, Chinese Academy of Sciences: talking about the Chinese food security crisis because of milk production without a food production license.  Government launched “Wuxi Food Science & Technology Park.”

Smart Homes:

  • Tobin Richardson, Zigbee Alliance: critical role of open, global standards. Zigbee LCD lights now down to $15.
  • Cees Links, GreenPeak Technologies: Leader in Zigbee-based smart home devices. Smart home waay more complex than wi-fi.  1m chips a week, vs. 1 million for whole year of 2011. “Not scratching the surface.” Small data — many small packets.
  • Todd Green, CEO PubNub: data stream network.
  • no killer app for the smart home..  Controlling by your phone not really that great a method.
  • FTC agrees with me: a few adverse stories (TrendNet baby cam example) can be really bad for an industry in its infancy.
  • always hole in security. For example, you can tell if no one’s home because volume of wi-fi data drops.W
  • FTC: consumer ed critical part of their work. Working now on best practices for home data protection.
  • mitigation after a security breach? Always be open, communicate (but most hunker down!).

DAY TWO

Beyond Cost Savings: Forging a Path to Revenue Generation

  • Eric Openshaw: (had tech problems during his preso: very important one — check the Deloitte The Internet of Things white paper for details) cost savings through IoT not enough for sustainable advantage: need to produce new revenue to do that. Defined ecosystem shaping up, which creates clarity, breaks down silos.
    • areas: smart grid, health care, home automation, cars, industrial automation
    • study the GE jet model for health care: what if doctors were paid to keep us healthy.
    • need comprehensive understanding of the change issues
    • be very specific: singular asset class, etc. — so you get early victories
    • companies will have overarching, finite roadmap
    • security & privacy dichotomy: differentiate between personal health care data and data from your washing machine. Most of us will share all sorts of information if there’s something in return
    • get focused on customer and product life cycle — that’s where the money will be. Focus on operating metric level. This is most far-reaching tech change he’s seen.

Managing Spectrum Needs

  • Julius Knapp, Chief, FCC Office of Engineering & Technology: new opportunity to combine licensed and unlicensed space. Described a number of FCC actions to reconsider role of various types of spectrum. “Hard to predict I0T’s long-term spectrum needs” because industry is new: they’ll watch developments in the field.
  • Prof. H. Nwana, exec. director of Dynamic Spectrum Alliance: most spectrum usually not used in most places at most time.  His group working to use changes to spectrum to end digital divide: (used incredible map showing how much of world, including US, China, India, W. Europe, could be fitted into Africa).
  • Carla Rath, VP for Wireless Policy, Verizon: “in my world, the network is assumed.”  Need for more spectrum — because of growth in mobile demand. Praises US govt. for trying to make more spectrum available. Don’t want to pigeonhole IoT in certain part of spectrum: allow flexibility.  Tension between flexibility and desire for global standards when it comes to IoT.
  • Philip Marnick, group director of spectrum policy, Ofcom UK:  no single solution.  Market determines best use. Some applications become critical (public safety, etc.) — must make sure people using those are aware of chance of interference.
  • Hazem Moakkit, vp of spectrum development for 03b (UK satellite provider for underserved areas of developing world): “digital divide widened by IoT if all are not on board.” Fair allocation of spectrum vital.
  • interesting question: referred to executive of a major farm equipment manufacturer whose products are now sensor-laden (must be John Deere…) and is frustrated because the equipment won’t work in countries such as Germany due to different bands.

Architecting the IoT: Sensing, Networking & Analytics: 

  • Tom Davenport: IoT highly unpredictable. “Great things about standards is there’s so many to choose from” — LOL.  Will IoT revolution be more top down or bottom up?
  • Gary Butler, CEO, Camgian: announcing an edge system for IoT. Driven by sensor info. Need new networking architecture to combine sensing and analytics to optimize business processes, manage risk. Systems now built from legacy equipment, not scalable. They’re announcing new platform: Egburt. Applicable to smart cities, retailing, ifrastructure (I’ll blog more about this soon!!). “Intelligence out of chaos.” Anomaly detection. Real-time analysis at the device level. Focus on edge computing. Must strengthen the ROI.
  • Xiaolin Lu, Texas Instruments fellow & director of IoT Lab: Working in wearables, smart manufacturing, smart cities, smart manufacturing, health care, automotive. TI claims it has all IoT building blocks: nodes, gateway/bridge or router/cloud.  Power needs are really critical, with real emphasis on energy harvesting from your body heat, vibration, etc. Challenges: sensing and data analytics, robust connectivity, power, security, complexity, consolidation of infrastructure and data. Big advocates for standards. They work on smart grid.
  • Steve Halliday, president, RAIN RFID: very involved in standards. 4 BILLION RFID tags shipped last year. Don’t always want IP devices. Power not an issue w/ RFID because they get their power from the reader. Think RFID will be underpinning of IoT for long time. Lot of confusion in many areas about IoT, especially in manufacturing.
  • Sky Mathews, IBM CTO: IBM was one of earliest in the field, with Smarter Planet. Lot of early ones were RFID. A variety of patterns emerging for where and how data is processed. What APIs do you want to expose to the world? “That’s where the real leaps of magnitude will occur” — so design that in from beginning.

‘People’ Side of the IoT: meeting consumer expectations:

  • Mark Eichorn, asst. director, Consumer Protection Bureau, FTC: companies that have made traditional appliances & now web-enable them aren’t always ready to deal with data theft. Security and privacy: a lot don’t have privacy policies at all. At their workshop, talk about people being able to hack your insulin readings.
  • Daniel Castro, sr. analyst, Center for Data Innovation: thinks that privacy issue has been misconstrued: what people really care about is keeping data from government intrusion. Can car be designed so a cop could pull it over automatically (wow: that’s a thought!). Chance for more liability with misuse of #IoT data.
  • Linda Sherry, director of national priorities, Consumer Action: “convenience, expectations and trust.” “What is the IoT doing beside working?” Connecting everything may disenfranchise those who aren’t connected. Need to register those who collect data – hmm. Hadn’t heard that one before. Even human rights risks, stalking, etc. — these issues must be thought about. Can algorithms really be trusted on issues such as insurance coverage? How do you define particularly sensitive personal data? “Hobbling the unconnected” when most are connected? “Saving consumers from themselves.” “Document the harms.” Make sure groups with less $ can really participate in multi-stakeholder negotiations.
  • Stephen Pattison, vp of public affairs, ARM Holdings: disagrees with Linda about slowing things down: we want to speed up IoT as instrument of transformation. We need business model for it. Talks about how smart phone didn’t explode until providers started subsidizing purchase. He suspects that one model might be that a company would provide you whole range of smart appliances in return for your data. “Getting data right matters.” “Freak events” drive concerns about data security & privacy: they generate concern and, sometimes, “heavy-handed” regulation.
    Industry must work together on framework for data that creates confidence by public. Concerns about data are holding back investment in the field. They’re working with AMD on a framework: consumers own their own data — must start with that (if they do, people will cooperate); not all data equally sensitive — need chain of custody to keep data anomyzed; security must be right at the edge; simplify terms and conditions.
    Sometimes thinks that, in talking about IoT, it’s like talking about cars in 1900, but we managed to create a set of standards that allowed it to grow: “rules of the road,” etc.
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GE & Accenture provide detailed picture of current IoT strategy & deployment

Posted on 10th October 2014 in collaboration, data, health, Internet of Things, M2M, maintenance, management, manufacturing, paradigm shift, strategy

I’ll admit it: until I began writing the “Managing the Internet of Things Revolution” guide to Internet of Things strategy for SAP, I was pre-occupied with the IoT’s gee-wiz potential for radical transformation: self-driving cars, medical care in which patients would be full partners with their doctors, products that customers would be able to customize after purchase.

GE_Accenture_IoT_reportThen I came to realize that this potential for revolution might be encouraging executives to hold off until the IoT was fully-developed, and, in the process, ignoring low-hanging fruit: a wide range of ways that the IoT could dramatically increase the efficiency of current operations, giving them a chance to experiment with limited, less-expensive IoT projects that would pay off rapidly and give them the confidence and understanding necessary to launch more dramatic IoT projects in the near future.

This is crucially important for IoT strategies: instead waiting for a radical transformation (which can be scary), view it instead as a continuum, beginning with small, relatively-low cost steps which will feed back into more dramatic steps for the future.

Now, there’s a great new study, “Industrial Internet Insights Report for 2015,” from GE and Accenture, that documents many companies are in the early stages of implementing such an incremental approach, with special emphasis on the necessary first step, launching Big Data analytics — and that they are already realizing tangible benefits. It is drawn from a survey of companies in the US, China, India, France, Germany, the UK, and South Africa.

The report is important, so I’ll review it at length.

Understandably, it was skewed toward the industries where GE applies its flavor of the IoT (the “Industrial Internet”): aviation, health care, transportation, power generation, manufacturing, and mining, but I suspect the findings also apply to other segments of the economy.

The summary underscores a “sense of urgency” to launch IoT initiatives:

“The vast majority (of respondents) believe that Big Data analytics has the power to dramatically alter the competitive landscape of industries just within the next year, and are investing accordingly…” (my emphasis).

84% said Big Data analytics “has the power to shift the competitive landscape for my industry” within just the next year, and 93% said they feared new competitors will enter the field to leverage data.  Wow: talk about short-term priorities!

It’s clear the authors believe the transformation will begin with Big Data initiatives, which, IMHO, companies should be starting anyways to better analyze the growing volume of data from conventional sources. 73% of the companies already are investing more than 20% of their overall tech budget on Big Data analytics — and some spend more than 30%! 80 to 90% said Big Data analytics was either the company’s top priority or at least in the top 3.

One eye-opening finding was that 53% of respondents said their board of directors was pushing the IoT initiatives. Probably makes sense, in that boards are expected to provide necessary perspective on the company’s long-term health.

GE and Accenture present a  4-step process to capitalize on the IoT:

  1. Start with the exponential growth in data volumes
  2. Add the additional data volume from the IoT
  3. Add growing analytics capability
  4. and, to add urgency, factor in “the context of industries where equipment itself or patient outcomes are at the heart of the business” where the ability to monitor equipment or monitor patient services can have significant economic impact and in some cases literally save lives [nothing like throwing the fear of God into the mix to motivate skeptics!].
For many companies, after implementing Big Data software, the next step toward realizing immediate IoT benefits is by installing sensors to monitor the status of operating assets and be able to implement “predictive maintenance,” which cuts downtime and reduces maintenance costs (the report cites some impressive statistics: ” .. saving up to 12 percent over scheduled repairs, reducing overall maintenance costs up to 30 percent, and eliminating breakdowns up to 70 percent.” What company, no matter what their stance on the IoT, wouldn’t want to enjoy those benefits?). The report cites companies in health care, energy and transportation that are already realizing benefits in this area.
Music to my ears was the emphasis on breaking down data-sharing barriers between departments, the first time I’ve seen substantiation of my IoT “Essential Truth” that, instead of hoarding data — whether between the company and supply-chain partners or within the company itself — that the IoT requires asking “who else can use this data?” It said that: “System barriers between departments prevent collection and correlation of data for maximum impact.” (my emphasis). The report went on to say:

“All in all, only about one-third of companies (36 percent) have adopted Big Data analytics across the enterprise. More prevalent are initiatives in a single operations area (16 percent) or in multiple but disparate areas (47 percent)…. The lack of an enterprise-wide analytics vision and operating model often results in pockets of unconnected analytics capabilities, redundant initiatives and, perhaps most important, limited returns on analytics investments.”

Most of the companies surveyed are moving toward centralization of data management to break down the silos. 49% plan to appoint a chief analytics officer to run the operation, and most will hire skilled data analysts or partner with outside experts (insert Accenture here, LOL…).

The GE/Accenture report also stressed that companies hoping to profit from the IoT also must create end-to-end security. Do do that, it recommended a strategy including:
  1. assess risks and consequences
  2. develop objectives and goals
  3. enforce security throughout the supply chain.
  4. use mitigation devices specifically designed for Industrial Control Systems
  5. establish strong corporate buy-in and governance.

For the longer term, the report also mentioned a consistent theme of mine, that companies must begin to think about dramatic new business models, such as substituting value-added services instead of traditional sales of products such as jet engines.  This is a big emphasis with GE.  It also emphasizes another issue I’ve stressed in the “Essential Truths,” i.e. partnering, as the mighty GE has done with startups Quirky and Electric Imp:

“Think of the partnering taking place among farm equipment, fertilizer, and seed companies and weather services, and the suppliers needed to provide IT, telecom, sensors, analytics and other products and services. Ask: ‘Which companies are also trying to reach my customers and my customers’ customers? What other products and services will talk to mine, and who will make, operate and service them? What capabilities and information does my company have that they need? How can we use this ecosystem to extend the reach and scope of our products and services through the Industrial Internet?'”

While the GE/Accenture report dwelt only on large corporations, I suspect that many of the same findings would apply to small-to-medium businesses as well, and that the falling prices of sensors and IoT platforms will mean more smart companies in this category will begin to launch incremental IoT strategies to first optimize their current operations and then make more radical changes.

Read it, or be left in the dust!

PS: as an added bonus, the report includes a link to the GE “Industrial Internet Evaluator,” a neat tool I hadn’t seen before. It invites readers to “see how others in your field are leveraging Big Data analytics for connecting assets, monitoring, analyzing, predicting and optimizing for business success.” Check it out!

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IoT ideal example of “recombinant innovation”!

Posted on 19th September 2014 in collaboration, Essential Truths, Internet of Things, M2M, management, marketing, open data, paradigm shift

I’m currently reading Erik Brynjolfsson (say that one fast three times…) and Andy McAfee’s brilliant The Second Machine Age, which I highly recommend as an overview of the opportunities and pitfalls of what they call “brilliant technologies.”

While they don’t specifically mention the IoT, I was riveted by one section in which they contrasted current digital innovation with past technologies, using economist Paul Romer‘s term “recombinant innovation”:

“Economic growth occurs whenever people take resources and rearrange them in ways that make them more valuable…. Every generation has perceived the limits to growth that finite resources and undesirable side effects would pose if no new … ideas were discovered. And every generation has underestimated the potential for finding new … ideas. We consistently fail to grasp how many ideas remain to be discovered… Possibilitities do not merely add up, they multiply.” (my emphasis)

I felt like Dr. Pangloss, who was surprised to learn he’d been speaking prose all his life: I realized Romer’s term and definition was a more elegant version of what I’ve written before, especially about IFTTT, about an Essential Truth of the IoT — that sharing data is critical to achieving the IoT’s full potential. IFTTT is a great example of Romer’s argument in practice: individuals are “taking resource and rearrang(ing) them in ways that make them more valuable.” As Brynjolfsson and McAfee write:

““.. digital innovation is recombinant innovation in its purest form. Each development becomes a building block for future innovations. Progress doesn’t run out; it accumulates. And the digital world doesn’t respect any boundaries. It extends into the physical one, leading to cars and planes that drive themselves, printers that make parts, and so on….We’ll call this the ‘innovation-as-building-block’ view of the world..” (again, my emphasis)

This is such a powerful concept. Think of Legos — not those silly ones that dominate today, where they are so specialized they can only be used in making a specific kit — but the good ol’ basic ones that could be reused in countless ways. It’s why I happen to believe that all the well-thought-out projections on the IoT’s potential size probably are on the low side: there’s simply no way that we can predict now all the creative, life-saving, money-saving, or quality-of-life-enhancing ways the IoT will manifest itself until people within and outside of organizations take new IoT devices and use them in IFTTT-like “Recipes” that would never have occurred to the devices’ creators.  But beware: none of this will happen if companies use proprietary standards or don’t open their APIs and other tools to all those who can benefit.

How exciting!

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