Live Blogging #LlveWorx ’18, Day 2

Aiden Quilligan, Accenture Industry X.0, on AI:

  • Mindset and AI: must undo what Hollywood has done on this over years, pose it as human vs. machine.
  • We think it should be human PLUS machine.
  • he’s never seen anything move as fast as AI, especially in robotics
  • now, co-bots that work along side us
  • exoskeletons
  • what do we mean by AI?  Machine learning.  AI is range of technologies that can learn and then act. AI is the “new work colleague” we need to learn to get along with.
  • predictions: will generate #2.9 trillion in biz value and recover 6.2 billion hours of worker productivity in 2021.
  • myths:
    • 1) robots evil, coming for us: nothing inherently anti-human in them.
    • 2) will take our jobs. Element of truth in terms of repetitive, boring work that will be replaced. They will fill in for retiring workers. Some new industries created by them.  Believe there will be net creation of jobs.
    • 3) current approaches will still work.

6 steps to the Monetization of IoT, Terry Hughes:

  • Digital native companies (Uber) vs. digitally transforming companies
  • also companies such as Kodak that didn’t transform at all (vs. Fujifilm, which has transformed).
  • Forbes: 84% of companies have failed with at least one transformation program.  Each time you fail you lose 1/2 billion
  • steps:
    • 1) devices with potential
    • 2) cloud network communication
    • 3) software distribution
    • 4) partner and provider ecosystem
    • 5) create a marketplace.
    • 6) monetization of assets.
  • crazy example of software company that still ships packages rather than just download because of initial cost in new delivery system
  • 3 big software challenges for digitally transforming company
    • fragmented silos of software by product, business unit & software
    • messy and complex distribution channels
    • often no link between software and the hardware that it relates to
  • importance of an ecosystem
    • Blackberry example of one that didn’t have the ecosystem
  • 3rd parties will innovate and add value around a manufacturer’s core products
  • in IoT it’s a land grab for mindshare of 3rd-party innovators.
  • need strong developer program
  • tools for app development and integration
  • ease of building and publishing apps
  • path to discovery and revenue for developer
  • IDC: developer ecosystem allow enterprises to massively scale distribution
  • digitally native companies have totally different models (will get details later…)
  • hybrids:
    • GE Healthcare:  working with Gallus BioPharma
    • Heidelberg & Eig have digital biz model for folding carton printing. Pay per use
  • Ford is heading for mobility as a transformation

 


Bernard Marr: Why IoT, Combined With AI and Big Data, Fuels 4th Industrial Revolution

 

  • connecting everything in house to Internet
  • Spotify: their vision is they understand us better. Can correlate your activity on Apple Watch (such as spinning) & create a play list based on that)
  • FitBit: the photo will estimate your calorie content.
  • John Deere
  • ShotSpotter: the company that monitors gun shots
  • understanding customers & markets better than before:
    • Facebook: better at face recognition than we are. They can predict your IQ, your relationship status.
  • Lot of frightening, IMHO, examples of AI analyzing individuals and responding without consideration of ethics and privacy
  • 3) improving operations and efficiency:
    • self-driving boats
    • drones
    • medicine through Watson

panel on IoT:

  • Don’t be afraid of the cloud
  • Ryan Cahalane, Colfax: prepare for big, start small and move fast. They had remarkable growth with switch to IoT.  Not a digital strategy, but digital in everything they do. Have “connected welders,” for example.
  • Justin Hester, Hirotec: most importatnt strategic digital transformation decision your organization can make is the selection of a platform. The platform is the underlying digital thread that enables your team to meet  the unique and chanding needs of your organization and to scale those solutions rapidly. “Assisted reality” in ThingWorx
  • Shane O’Callahan, TSM (Ireland):  Make industrial automation equipment for manufacturing. Understanding your key value driver is where to start. Then start samll, scale fast and get a win!

Jeffrey Miller, PTC: Digital Transformation:

  • if you start with digital strategy you’re starting in wrong place Start with business strategy. 
  • Couple with innovation vision merged with digital strategy. Add business use cases.
  • Jobs: it’s not how much you spend on R & D, but “about the people you have, you you’re dled, and how much you get it”
  • create an environment for innovation
    • do we encourage experimentation?
    • is it ok to fail
  • identify digital technologies to provide the required operating capabilities:
    • have we conducted proofs of concept?
    • experimented, tested  and validated?
    • reviewed use cases & success studies?
    • delivered small, important, scalable successes?

Matt,  PTC: Bringing Business Value to AR:

  • augmented service guidance
  • remote expert guidance
  • manufacturing: machine setup and turnover, assembly and process
  • example of Bell & Howell towers to store online sales in WalMart stores for customer pickup: very expensive to send one to a store for salesperson to use in sales — now just use AR app to give realistic demo without expense.
  • service: poor documentation organization, wants accurate, relevant, onsite info for technician. Want to remove return visits because the repair wasn’t done 1st time, or there’s a new technician. Manuals in binders, etc. Instead, with AR, requirements are quick access to current info. Finally, a demo.

Suchitra Bose, Accenture: Manufacturing IIoT, Driving the Speed of Digital Manufacturing:

  • convergence of IT and OT
  • expanding digital footprint across your entire factory
  • PTC has wide range of case studies (“use cases” in biz speak…) on aspects of IoT & manufacturing.

I have seen the future, and it’s written in Chalk (PTC’s Vuforia Chalk, that is!)

I just had to take time out from my live blogging of PTC’s LiveWorx ’18 to focus on one of the topics Jim Heppelmann mentioned in passing in his keynote: the new variation on the company’s Vuforia AR app: Chalk.

Significant in its own right, I suspect Chalk will have an additional, critical impact: democratizing AR.

It is an app aimed at, and accessible to, both corporate audiences AND the general public.  Downloadable for both iPhone & iPads & Android devices, I suspect that it will quickly become popular both to support remote repair staff for companies and just plain folks who are trying, for example to help a family member far away to deal with a car or plumbing repair. Not to mention the fact (mandatory disclaimer: while I work part-time for Apple, I’m not privy to any corporate internal strategy) that the spiffy new $329 6th-generation iPad really facilitates AR, and Chalk was developed in conjunction with the Apple ARKit technology so it should really become popular.

Chalk has two components:

  • real-time video and voice sharing of the same view
  • Chalk Marks, simple handswipes that allow one of the participants to highlight the part that is the subject of the question.  The “Marks” appear to be anchored to the subjects they’re “drawn” on.

Real-world uses vary from a remote super-expert helping a field technician to identify and deal with a rare problem to your millennial helping Mom master her personal technology. I saw an amazing demo this morning with one mechanic in Germany (ok, he was actually 2′ away…) directing the mechanic working on a Mercedes how to add coolant.  As the press release announcing the app said:

“Today, remote assistance can be frustrating and cumbersome. People struggle for words to describe things that are unfamiliar, whether it be a new appliance or the back of a cable box. And when the problem can’t be described clearly, it becomes almost impossible for someone else to solve. Vuforia Chalk provides a simple and intuitive solution where people can now use Chalk Marks to get a common understanding of a problem, and the steps required to solve it.”

I’ve written before that I suspected many companies got into e-commerce in the 9o’s because a CEO’s kids got him to order a book from Amazon during the holidays & he came back raving about this new device.  I can’t help thinking that this will be just the kind of low-cost (heck, in this case, no-cost) introduction to AR And the IoT that will break down some companies’ skepticism, pay off with immediate bottom line benefits in cost savings and efficiency in service operations, and get them interested in most expensive AR such as PTC’s digital twins and predictive maintenance.  Or, as ABI analyst Eric Abbruzzes said:

“Mainstream augmented reality is at the beginning of a strong positive inflection point, and Vuforia Chalk is a great example of how AR can transition from enterprise-only to use in everyday life,” said Eric Abbruzzese, ABI Research. “We see Vuforia Chalk as a fundamentally disruptive form of remote communication that will be well received across multiple sectors and for multiple use cases.”

Now to get my granddaughter to download the app so we can collaborate on the 3D-printer that I got her for her 12th- birthday!

Wahoo! Liveblogging #Liveworx ’18!

Always my fav event, I’ll be liveblogging #LiveWorx ’18.  Stay tuned!

Keynote: Jim Heppelmann:

  • “from a place to a pace” — how fast are we moving?
  • no longer OK to think of a future destination, builds inertia (“your main competitor”). Disruption may have already happened. Hard to sustain advantage due to pace of change. Must “embrace a pace of change”
  • Um, this sounds like argument for my circular company paradigm shift!!!
  • Customer Experience Center will occupy top floor of new building.
  • combo of  physical, human and digital — transforming all at once speeds change:
    • physical: been constrained by subtractive manufacturing, while nature improves via cell division (i.e., additive). “Adopt Mother Nature’s mindset.” — new additive aspects of Creo. Example of Triumph cycle sing-arm using additive. CREO uses AI to optimize performance: non-symmetrical design. Still need to use simulation tests: new intermittent, continuous style: they are doing new partnership with ANSYS (product simulation software), unified modeling and simulation with no gaps. Historically, simulation only used at end of design cycle, now can use it throughout the process: “pervasive simulation.”
      • ANSYS “Discovery Live”: optimizes for real-time. Integrates with Creo — instant feedback on new designs. “simulation critical to innovation.”
    • digital: working with Microsoft Azure (Rodney Clark, Microsoft IoT VP). Microsoft investing $5b in IoT.  1st collaboration is an industrial welder: IoT data optimizes productivity.  BAE can train new employees 30-40% quicker.
    • finally, human: “Mother Nature designed ups to interface with the physical. How do we integrate with the digital? — Siri, Alexa, Cortna still too slow.  Sight is our best bet. “Need direct pipeline to reality ” — that’s AR. “Smart, connected humans.” Sysmex: for medical lab analysis. Hospitals need real-time access to blood cell analysis. They have real-time calibration of analysis equipment. Also improving knowledge of the support techs, using AR and digital twins when repairs are needed.
      • Will help 2.5 billion workers become more productive
      • AR can project how a process is being programmed (gotta see this one. will try to get video).
      • All of their human/digital interface initiatives united under Vuforia. Already have 10,000 enterprises using it.
    • Factories are a new focus of PTC. 200 companies now using it in 800 factories. Examples from Woodward & Colfax.  Big savings on new employee training.

Keynote: Prof. Linda Hill, HBS, “Collective Genius”:

  • Innovation= novel + useful
  • Example of Pixar: collective genius “filmmaking is a team sport.”
  • 3 characteristics of creative organizations they looked at:
    • “creative abrasion” — diversity and debate
    • “creative agility” — quickly test the idea & get feedback. Experiment rather than run pilots, which often include politics
    • “creative resolution” — ability to make integrative decisions. Don’t necessarily defer to the experts.
    • sense of community and shared purpose.
  • values: bold ambition, collaboration, responsibility, learning.
  • rules of engagement: respect, trust, influence, see the whole, question everything, be data-driven.

Ray Miciek, Aquitas Solutions. Getting Started on IoT-based Maintenance:

  • his company specializes in asset maintenance.
  • “produce products with assets that never fail”
  • 82% of all asset failures are random, because they are more IT-related now
  • find someplace in org. where you could gain info to avoid failure.
  • Can start small, then quickly expand.

 

Great Podcast Discussion of #IoT Strategy With Old Friend Jason Daniels

Right after I submitted my final manuscript for The Future is Smart I had a chance to spend an hour with old friend Jason Daniels (we collaborated on a series of “21st Century Homeland Security Tips You Won’t Hear From Officials” videos back when I was a homeland security theorist) on his “Studio @ 50 Oliver” podcast.

We covered just about every topic I hit in the book, with a heavy emphasis on the attitude shifts (“IoT Essential Truths” needed to really capitalize on the IoT and the bleeding-edge concept I introduce at the end of the book, the “Circular Corporation,” with departments and individuals (even including your supply chain, distribution network and customers, if you choose) in a continuous, circular management style revolving around a shared real-time IoT hub.  Hope you’ll enjoy it!

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IoT Design Manifesto 1.0: great starting point for your IoT strategy & products!

Late in the process of writing my forthcoming IoT strategy book, The Future Is Smart, I happened on the “IoT Design Manifesto 1.0” site. I wish I’d found it earlier so I could have featured it more prominently in the book.

The reason is that the manifesto is the product (bear in mind that the original team of participants designed it to be dynamic and iterative, so it will doubtlessly change over time) of a collaborative process involving both product designers and IoT thought leaders such as the great Rob van Kranenburg. As I’ve written ad nauseam, I think of the IoT as inherently collaborative, since sharing data rather than hoarding it can lead to synergistic benefits, and collaborative approaches such as smart cities get their strength from an evolving mishmash of individual actions that gets progressively more valuable.

From the names, I suspect most of the Manifesto’s authors are European. That’s important, since Europeans seem to be more concerned, on the whole, about IoT privacy and security than their American counterparts, witness the EU-driven “privacy by design” concept, which makes privacy a priority from the beginning of the design process.

At any rate, I was impressed that the manifesto combines both philosophical and economic priorities, and does so in a way that should maximize the benefits and minimize the problems.

I’m going to take the liberty of including the entire manifesto, with my side comments:

  1. WE DON’T BELIEVE THE HYPE. We pledge to be skeptical of the cult of the new — just slapping the Internet onto a product isn’t the answer, Monetizing only through connectivity rarely guarantees sustainable commercial success.
    (Comment: this is like my “just because you can do it doesn’t mean you should” warning: if making a product “smart” doesn’t add real value, why do it?)*
  2. WE DESIGN USEFUL THINGS. Value comes from products that are purposeful. Our commitment is to design products that have a meaningful impact on people’s lives; IoT technologies are merely tools to enable that.
    (Comment: see number 1!)
  3. “WE AIM FOR THE WIN-WIN-WIN. A complex web of stakeholders is forming around IoT products: from users, to businesses, and everyone in between. We design so that there is a win for everybody in this elaborate exchange.
    (Comment:This is a big one in my mind, and relates to my IoT Essential Truth #2 — share data, don’t hoard it — when you share IoT data, even with competitors in some cases [think of IFTTT “recipes”] — you can create services that benefit customers, companies, and even the greater good, such as reducing global warming).
  4. WE KEEP EVERYONE AND EVERYTHING SECURE. With connectivity comes the potential for external security threats executed through the product itself, which comes with serious consequences. We are committed to protecting our users from these dangers, whatever they may be.
    (Comment: Amen! as I’ve written ad nauseum, protecting privacy and security must be THE highest IoT priority — see next post below!).
  5. WE BUILD AND PROMOTE A CULTURE OF PRIVACY. Equally severe threats can also come from within. Trust is violated when personal  information gathered by the product is handled carelessly. We build and promote a culture of integrity where the norm is to handle data with care.
    (Comment:See 4!).
  6. WE ARE DELIBERATE ABOUT WHAT DATA WE COLLECT. This is not the business of hoarding data; we only collect data that serves the utility of the product and service. Therefore, identifying what those data points are must be conscientious and deliberate.
    (Comment: this is a delicate issue, because you may find data that wasn’t originally valuable becomes so as new correlations and links are established. However, just collecting data willy-nilly and depositing it in an unstructured “data lake” for possible use later is asking for trouble if your security is breeched.).
  7. WE MAKE THE PARTIES ASSOCIATED WITH AN IOT PRODUCT EXPLICIT. IoT products are uniquely connected, making the flow of information among stakeholders open and fluid. This results in a complex, ambiguous, and invisible network. Our responsibility is to make the dynamics among those parties more visible and understandable to everyone.
    (Comment: see what I wrote in the last post, where I recommended companies spell out their privacy and usage policies in plain language and completely).
  8. WE EMPOWER USERS TO BE THE MASTERS OF THEIR OWN DOMAIN. Users often do not have control over their role within the network of stakeholders surrounding an IoT product. We believe that users should be empowered to set the boundaries of how their data is accessed and how they are engaged with via the product.
    (Comment: consistent with prior points, make sure that any permissions are explicit and  opt-in rather than opt-out to protect users — and yourself (rather avoid lawsuits? Thought so…)
  9. WE DESIGN THINGS FOR THEIR LIFETIME. Currently physical products and digital services tend to be built to have different lifespans. In an IoT product features are codependent, so lifespans need to be aligned. We design products and their services to be bound as a single, durable entity.
    (Comment: consistent with the emerging circular economy concept, this can be a win-win-win for you, your customer and the environment. Products that don’t become obsolete quickly but can be upgraded either by hardware or software will delight customers and build their loyalty [remember that if you continue to meet their needs and desires, there’s less incentive for customers to check out competitors and possibly be wooed away!). Products that you enhance over time and particularly those you market as services instead of sell will also stay out of landfills and reduce your pduction costs.
  10. IN THE END, WE ARE HUMAN BEINGS. Design is an impactful act. With our work, we have the power to affect relationships between people and technology, as well as among people.  We don’t use this influence to only make profits or create robot overlords; instead, it is our responsibility to use design to help people, communities, and societies  thrive.
    Comment: yea designers!!)

I’ve personally signed onto the Manifesto, and do hope to contribute in the future (would like something explicit about the environment in it, but who knows) and urge you to do the same. More important, why start from scratch to come up with your own product design guidelines, when you can capitalize on the hard work that’s gone into the Manifesto as a starting point and modify it for your own unique needs?


*BTW: I was contemptuous of the first IoT electric toothbrush I wrote about, but since talked to a leader in the field who convinced me that it could actually revolutionize the practice of dentistry for the better by providing objective proof that  patient had brushed frequently and correctly. My bad!

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Mycroft Brings Open-Source Revolution to Home Assistants

Brilliant!  Crowd-funded (even better!) Mycroft brings the rich potential of open-source to the growing field of digital home assistants.   I suspect it won’t be long until it claims a major part of the field, because the Mycroft platform can evolve and grow exponentially by capitalizing on the contributions of many, many people, not unlike the way IFTTT has with its crowd-sourced smart home “recipes.”

According to a fascinating ZD Net interview with its developer, Joshua Montgomery, his motivation was not profit per se, but to create a general AI intelligence system that would transform a start-up space he was re-developing:

“He wanted to create the type of artificial intelligence platform that ‘if you spoke to it when you walked in the room, it could control the music, control the lights, the doors’ and more.”

                         Mycroft

Montgomery wanted to do this through an open-source voice control system but for there wasn’t an open source equivalent to Siri or Alexa.  After building the natural language, open-source AI system to fill that need (tag line, “An Artificial Intelligence for Everyone”) he decided to build a “reference device” as the reporter terms it (gotta love that techno speak. In other words, a hardware device that could demonstrate the system). That in turn led to a crowdsourced campaign on Kickstarter and Backerkit to fund the home hub, which is based on the old chestnut of the IoT, Raspberry Pi. The result is a squat, cute (looks like a smiley face) unit, with a high-quality speaker.  

Most important, when the development team is done with the AI platform, Mycroft will release all of the Mycroft AI code under GPL V3, inviting the open-source community to capitalize and improve on it.  That will place Mycroft squarely in the open-source heritage of Linux and Mozilla.

Among other benefits, Mycroft will use natural language processing to activate a wide range of online services, from Netflix to Pandora, as well as control your smart home devices.

Mycroft illustrates one of my favorite IoT Essential Truths: we need to share data, not hoard it. I don’t care how brilliant your engineers are: they are only a tiny percentage of the world population, with only a limited amount of personal experience (especially if they’re callow millennials) and interests. When you go open source and throw your data open to the world, the progress will be greater as will be the benefits — to you and humanity.

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A Vision for Dynamic and Lower-Cost Aging in Cities Through “SmartAging”

I’ve been giving a lot of thought recently about how my vision of I0T-based “SmartAging” through a combination of:

  • Quantified Self health apps and devices to improve seniors’ health and turn their health care into more of a partnership with their doctors
  • and smart home devices that would make it easier to manage their homes and “age in place” rather than being institutionalized

could meld with the exciting developments in smart city devices and strategy.  I believe the results could make seniors happier and healthier, reduce the burdens on city budgets of growing aging populations, and spur unprecedented creativity and innovation on these issues. Here’s my vision of how the two might come together. I’d welcome your thoughts on the concept!

 

A Vision for Dynamic and Lower-Cost Aging in Cities Through “SmartAging”

It’s clear business as usual in dealing with aging in America won’t work anymore.  10,000 baby boomers a day retire and draw Social Security. Between now and 2050, seniors will be the fastest growing segment of the population.  How can we stretch government programs and private resources so seniors won’t be sickly and live in abject poverty, yet millennials won’t be bankrupted either?

As someone in that category, this is of more than passing interest to me! 

I propose a new approach to aging in cities, marrying advanced but affordable personal technology, new ways of thinking about aging, and hybrid formal and ad hoc public-private partnerships, which can deal with at least part of the aging issue. Carving out some seniors from needing services through self-reliance and enhancing their well-being would allow focusing scarce resources on the most vulnerable remaining seniors. 

The approach is made possible not only by the plummeting cost and increasing power of personal technology but also the exciting new forms of collaboration it has made possible.

The proposal’s basis is the Internet of Things (IoT).  There is already a growing range of IoT wearable devices to track health indicators such as heart rates and promoting fitness activities, and IoT “smart home” devices controlling lighting, heat, and other systems. The framework visualized here would easily integrate these devices, but they can be expensive, so it is designed so seniors could benefit from the project without having to buy the dedicated devices.

This proposal does not attempt to be an all-encompassing solution to every issue of aging, but instead will create a robust, open platform that government agencies, companies, civic groups, and individuals can build upon to reduce burdens on individual seniors, improve their health and quality of life, and cut the cost of and need for some government services. Even better, the same platform and technologies can be used to enhance the lives of others throughout the life spectrum as well, increasing its value and versatility.

The proposal is for two complementary projects to create a basis for later, more ambitious one.

Each would be valuable in its own right and perhaps reach differing portions of the senior population. Combined, they would provide seniors and their families with a wealth of real-time information to improve health, mobility, and quality of life, while cutting their living costs and reducing social isolation.  The result would be a mutually-beneficial public-private partnerships and, one hopes, improve not only seniors’ lives, but also their feeling of connectedness to the broader community. Rather than treat seniors as passive recipients of services, it would empower them to be as self-reliant as possible given their varying circumstances. They would both be based on the Lifeline program in Massachusetts (and similar ones elsewhere) that give low-income residents basic Internet service at low cost.

Locally, Boston already has a record of achievement in internet-based services to connect seniors with others, starting with the simple and tremendously effective SnowCrew program that Joe Porcelli launched in the Jamaica Plain neighborhood. This later expanded nationwide into the NextDoor site and app, which could easily be used by participants in the program.

The first project would capitalize on the widespread popularity of the new digital “home assistants,” such as the Amazon Echo and Google Home.  One version of the Echo can be bought for as little as $49, with bulk buying also possible.  A critical advantage of these devices, rather than home monitoring devices specifically for seniors, is that they are mainstream, benefit from the “network effects” phenomenon that means each becomes more valuable as more are in use, and don’t stigmatize the users or shout I’M ELDERLY. A person who is in their 50s could buy one now, use it for routine household needs, and then add additional age-related functions (see below) as they age, amortizing the cost.

The most important thing to remember about these devices regarding aging is the fact that they are voice-activated, so they would be especially attractive to seniors who are tech-averse or simply unable to navigate complex devices. The user simply speaks a command to activate the device.

The Echo (one presumes a variation on the same theme will soon be the case with the “Home,” Apple’s forthcoming “Home Pod” and other devices that might enter the space in the future) gets its power from “skills,” or apps, that are developed by third-party developers. They give it the power, via voice, to deliver a wide range of content on every topic under the sun.  Several already released “skills” give an idea of how this might work:

  • Ask My Buddy helps users in an emergency. In an emergency, it can send phone calls or text messages to up to five contacts. A user would say, “Alexa, ask my buddy Bob to send help” and Bob would get an alert to check in on his friend.
  • Linked thermostats can raise or lower the temperature a precise amount, and lights can also be turned on or off or adjusted for specific needs.
  • Marvee can keep seniors in touch w/ their families and lessen social isolation.
  • The Fitbit skill allows the user who also has a Fitbit to trace their physical activity, encouraging fitness.

Again looking to Boston for precedent, related apps include the Children’s Hospital and Kids’ MD ones from Children’s Hospital. Imagine how helpful it could be if the gerontology departments of hospitals provided similar “skills” for seniors!

Most important to making this service work would be to capitalize on the growing number of city-based open-data programs that release a variety of important real-time data bases which independent developers mash up to create “skills”  such as real-time transit apps.  The author was a consultant to the District of Columbia in 2008 when it began this data-based “smart city” approach with the Apps for Democracy contest, which has spawned similar projects worldwide since then.  When real-time city data is released, the result is almost magic: individuals and groups see different value in the same data, and develop new services that use it in a variety of ways at no expense to taxpayers.

The key to this half of the pilot programs would be creating a working relationship with local Meetups such as those already created in various cities for Alexa programmers, which would facilitate the relationship) to stage one or more high-visibility hackathons. Programmers from major public and social service institutions serving seniors, colleges and universities, and others with an interest in the subject could come together to create “skills” based on the local public data feeds, to serve seniors’ needs, such as:

  • health
  • nutrition
  • mobility
  • city services
  • overcoming social isolation (one might ask how a technological program could help with this need. The City of Barcelona, generally acknowledged as the world’s “smartest” city, is circulating an RFP right now with that goal and already has a “smart” program for seniors who need immediate help to call for it) .

“Skills” are proliferating at a dizzying rate, and ones developed for one city can be easily adapted for localized use elsewhere.

Such a project would have no direct costs, but the city and/or a non-profit might negotiate lower bulk-buying rates for the devices, especially the l0wer price ($59 list) Amazon Dot, similar to the contract between the Japan Post Group, IBM, and Apple to buy 5 million iPads and equip them with senior-friendly apps from IBM which the Post Group would then furnish to Japanese seniors. Conceivably, the Dots bought this way might come preloaded with the localized and senior-friendly “skills.” 

The second component of a prototype SmartAging city program would make the wide range of local real-time location-based data available by various cities usable by cities joininh the 100+ cities worldwide who have joined the “Things Network” that create free citywide data networks specifically for Internet of Things use.

The concept uses technology called LoRaWAN: low-cost (the 10 units used in Amsterdam, each with a signal range of about 6 miles, only cost $12,000 total — much cheaper ones will be released soon), and were deployed and operative in less than a month!  The cost and difficulty of linking an entire city has plummeted as more cities join, and the global project is inherently collaborative.

With Things Network, entire cities would be converted into Internet of Things laboratories, empowering anyone (city agencies, companies, educational institutions, non-profits, individuals) to experiment with offering new services that would use the no-cost data sharing network.  In cities that already host Things Networks,  availability of the networks has spawned a wide range of novel local services.  For example, in Dunblane, Scotland, the team is developing a ThingsNetwork- based alarming system for people with dementia.  Even better, as the rapid spread of citywide open data programs and resulting open source apps to capitalize on them has illustrated, a neat app or service created in one city could easily be copied and enhanced elsewhere — virtuous imitation!

The critical component of the prototype programs would be to hold one or more hackathons once the network was in place.  The same range of participants would be invited, and since the Things Network could also serve a wide range of other public/private uses for all age groups and demographics, more developers and subject matter experts might participate in the hackathon, increasing the chances of more robust and multi-purpose applications resulting.

These citywide networks could eventually become the heart of ambitious two-way services for seniors based on real-time data, similar to those in Bolsano, Italy

The Internet of Things and smart cities will become widespread soon simply because of lowering costs and greater versatility, whether this prototype project for seniors happens or not. The suggestions above would make sure that the IoT serves the public interest by harnessing IoT data to improve seniors’ health, reduce their social isolation, and make them more self-sufficient. It will reduce the burden on traditional government services to seniors while unlocking creative new services we can’t even visualize today to enhance the aging process.

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IoT: LiveBlogging PTC’s LiveWorx

Got here a little late for CEO Jim Heppelman’s keynote, so here goes!

  • Vuforia: digital twin gives you everything needed for merging digital “decorations” on the physical object
  • Unique perspective: AR takes digital back to the physical. Can understand & make better decisions.
  • Virtual reality would allow much of the same. Add in 3-D printing, etc.
  • “IoT is PLM.” Says PTC might be only company prepared to do both.
  • Says their logo captures the merger of digital and physical.
  • Case studies: they partnered with Bosch’s Rexroth division. Cytropac built-in IoT connectivity–  used Creo. Full life-cycle management. Can identify patterns of usage, etc. Using PTC’s analytics capacity, machine learning analysis. Want to improve cooling efficiency (it was high at first). Model-based digital twin to monitor product in field, then design an upgrade. How can they increase cooling efficiency 30%??  Came up with new design to optimize water channel that they will build in using 3-D printing. Cool (literally!). 43% increase in cooling efficiency. The design change results in new recommendation engine that helps in sales. Replaced operating manual with 3-D that anyone can understand. (BTW: very cool stagecraft: Heppelmann walks around stage interviewing the Rexroth design team at their workstations).
  • Ooh: getting citizen developers involved!!!  Speeds process, flexibility. App shows how products are actually operating in the field. Lets sales be much more proactive in field. Reinventing CRM.  May no longer need a physical showroom — just put on the AR headset.
  • Connectivity between all assets. The digital twin is identical, not fraternal. Brings AR into factory. They can merge new manufacturing equipment with legacy ones that didn’t have connectivity.  ABB has cloud-based retrofit sensors. Thingworx can connect almost anything, makes Industry 4.0 possible. Amazing demo of a simulated 3-D disassembly and replacement.
  • Hmmm — closing graphic of his preso is a constantly rotating circular one. Anticipating my “circular company” talk on Wednesday????

Closing the Loop With Enterprise Change Management. Lewis Lawrence of Weatherford, services to petroleum industry:

  • former engineer. In charge of Weatherford’s Windchill installation (they also use Creo).
  • hard hit by the drop in gas prices
  • constant state of flux
  • 15 years of constant evolution
  • their mantra: design anywhere, build anywhere.
  • enterprise change — not just engineering.
  • hmmm: according to his graphics, their whole change process is linear. IMHO, that’s obsolete in era of constant change: must evolve to cyclical. Ponderous process…
  • collect data: anything can be added, if it’s latest

The IoT Can Even Help You Breathe Better: GCE Group’s Zen-O portable oxygen concentrator for people with respiratory problems (not actually launched yet):

  • InVMA has built IoT application using ThingWorx to let patients, docs and service providers carefully monitor data
  • GCE made radical change from their traditional business in gas control devices. Zen-O is in the consumer markets. They were very interested in connected products — especially since their key competitor launched one!
  • Goals: predictive maintenance, improved patient care, asset management, development insight.
  • Design process very collaborative, with many partners.

The Digital Value Chain: GE’s Manufacturing Journey. Robert Ibe, global IT Engineering Leader at GE Industrial Solutions:

  • supports Brilliant Factory program.
  • they design and manufacture electrical distribution equipment, 30 factories worldwide.
  • “wing-to-wing” integrated process
  • had a highly complex, obsolete legacy
  • started in 2014: they were still running really old CAD technology. 14 CAD repositories that didn’t talk to each other. 15 year old PLM software. No confidence in any of data they had.
  • They began change with PLM — that’s where the digital thread begins.  PLM is foundation for their transformation.
  • PLM misunderstood: use it to map out cohesive, cross-functional, model-based strategy. Highlight relevance of “design anywhere — manufacture anywhere.” Make PLM master of your domain. Make it critical to commercial & manufacturing. Advertise benefits & value.
  • Whole strategy based on CAD. Windchill heart of the process.
  • Rate of implementation faster than business can keep up with!
  • Process: implementation approach:
    • design systems integration
    • model-based design
    • digital thread
    • manufacturing productivity.
  • common enterprise PLM framework
  • within Windchill, can see entire “digital bill of documents.”
  • focused on becoming critical for supply chain.
  • total shift from their paper-based legacy.
  • integrated regulatory compliance with every step of design.

It’s Not Your Grandmother’s IoT: Blockchain and IoT Morph Into An Emerging Technology Powerhouse:

  • Example of claims for fair-traded coffee that I’ve used in past

Finding Business Value in IoT panel:

  • Bayer — been in IoT (injection devices for medicine) for 7 years.  Reduced a lot of parts inventory.
  • Remote control of vending machines replaces paper & pencil
  • Your team needs to evangelize for biz benefits of IoT
  • New Opportunities:
    • vision and language
    • interacting with physical world
    • problem solving.
  • Didn’t know!  Skype can do real-time translation.
  • Google Deep Mind team worked internally, cut energy costs at its server farms. 15% energy reduction.
  • Digital progress makes economic pie bigger, BUT  most people aren’t benefitting economicallly. Some may be worse off. “Great decoupling” — mushrooming economic gap. One reason is that tech affects different groups differently.
  • “Entirely possible to create inclusive prosperity” through tech!

 

WEDNESDAY

Delivering Smart City Solutions and an Open Citywide Platform to Accelerate Economic Growth and Promote New Solution Innovation, Scott McCarley, PTC:

  • $40 trillion potential benefits from smart cities
  • 1st example & starting point for many cities, is smart lightpoles. Major savings plus value added. Real benefit is building on that, with systems of systems (water, traffic, energy, etc.) — the systems don’t operate in isolation.
  • Future buildings may have built-in batteries to add to power supply. Water reclamation, etc.
  • Cities are focused on KPIs across all target markets.
  • Cornerstone systems for a city: power & grid, water/wastewater, building management, city services & infrastructure.
  • Leveraging ThingWorx to address these needs:
    • deploy out-of-box IoT solutions from a ThingWorx Solution Provider: All examples, include Aquamatix, DEPsys (grid), Sensus, All Traffic, Smoove (bike sharing).
    • leverage ThingWorx to rapidly develop new IoT solutions.
      connect to any device, rapidly develop applications, visually model systems, quickly develop new apps. Augmented reality will play a role!
    • create role-based dashboards:
      one for your own operations, another for city.
    • bring the platform to create a citywide platform.
      Sum of connected physical assets, communication networks, and smart city solutions.

Digital Supply Networks: The Smart Factory. Steven Shepley, Deloitte:

  • 3 types of systems: 1) foundational visualization solutions:  KPIs, etc. 2) advanced analytical solutions 3) cyber-physical solutions.
  • Priority smart factory solutions:
    • advanced planning (risk-adjusted MRP), dynamic sequencing, cross network.
    • value chain integration: signal-based customer/supplies integration, dynamic distribution routing/tracking, digital twin.
    • asset efficiency: predictive maintenance, real-time asset tracking intelligence, energy management
    • labor productivity: robotic and cognitive automation, augmented reality-driven efficiency, real-time safety monitoring
    • exponential tech: 3-D printing, drones, flexible robots.
  • How to be successful: think big, start small, scale fast
  • Act differently: multi-disciplinary teams,
  • sensors getting simpler, easier to connect & retrofit. National Connectors particularly good.

Global Smart Home, Smart Enterprise, and Smart Cities IoT Use Cases. Ken Herron, Unified InBox, Pte.

  • new focus on customer
  • H2M: human to machine communication is THE key to IoT success. Respect their interests.
  • Austin TX: “robot whisperer” — industrial robot company. Their robots aging out, getting out of tune, etc. Predictive analytics anticipates problems.
  • Stuttgart: connected cow — if one cow is getting sick, may spread to entire herd. Intervene.
  • Kuala Lumpur: building bot — things such as paper towel dispensers communicating with management.
  • London: Concierge chatbot — shopper browsing can chat with assistant on combining outfits.
  • Dubai: smart camera. Help find your car in mega-shopping center: read license plates, message the camera, it gives you map to the car.
  • Singapore: Shout — for natural disasters. Walks the person making the alert through process, confirms choices.
  • Stuttgart: Feinstaubalarm — occasional very bad airborne dust at certain times. Tells people with lung problems options, such as taking mass transit.
  • Singapore: Smart appliances — I always thought smart fridge was stupid, but in-fridge camera that lets you shoot a “shelfie” does make sense
  • Fulda Germany: smart clothing for military & police: full record of personal health at the moment. Neat!
  • Noida India — smart sneakers can automatically post your run results (see connection to my SmartAging concept)

Business Impact of IoT, Eric Schaeffer, Accenture:

  • Michelin delivery trucks totally reinvented, major fuel savings, other benefits.
  • manufacturing being deconstructed
  • smart, connected products are causing it
  • industrial companies must begin transformation today

Thingworx: Platform for Management Revolution. W. David Stephenson, Stephenson Strategies:

Here are key points from my presentation about how the IoT can allow radical transformation from linear & hierarchical companies to IoT-centric “circular companies” (my entire presentation can be found here):

  • The IoT can be the platform for dramatic management change that was impossible in the past.
  • Making this change requires an extraordinary shift in management thinking: from hierarchy to collaboration.
  • The results will be worth the effort: not only more efficiency & precision, but also new creativity, revenue streams, & customer loyalty. 
  • In short, it will allow total transformation!

Kickstarting America’s Digital Transformation. Aneesh Chopra & Nicholas Thompson!

  • on day one, Our President (not the buffoon) told Chopra he wanted default to be switch from closed to open government & data.
  • National Wireless Initiative: became law 1 yr. after it was introduced.  Nationwide interoperable, secure wireless system.
  • Obama wanted to harness power of Internet to grow the economy. Talked to CIO of P & G, who was focused on opening up the company to get ideas from outside.
  • Thompson big on open data, but he thinks a lot more now is closed, we’re going wrong way.
  • Interesting example of getting down cost of solar to $1 per installed watt!!
  • Thompson: growing feeling that technology isn’t serving us economically. Chopra: need to democratize the benefits.
  • Chopra talking about opening up Labor Dept. data to lead to creative job opportunities for underserved.

 

 

 

 

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ThingWorx Analytics Video: microcosm of why IoT is so transformative!

I’ll speak at PTC’s LiveWorx lollapalooza later this month (ooh: act quickly and I can get you a $300 registration discount: use code EDUCATE300) on my IoT-based Circular Company meme, so I’ve been devouring everything I can about ThingWorx to prepare.

Came across a nifty 6:09 vid about one component of ThingWorx, its Analytics feature. It seems to me this video sez it all about both how you can both launch an incremental IoT strategy (a recent focus of mine, given my webinar with Mendix) that will begin to pay immediate benefits and can serve as the basis for more ambitious transformation later, especially because you’ll already have the analytical tools such as ThingWorx Analytics already installed.

What caught my eye was that Flowserve, the pump giant involved in this case, could retrofit existing pumps with retrofit sensors from National Instruments — crucial for two reasons:

  • you may have major investments in existing, durable machinery: hard to justify scrapping it just to take advantage of the IoT
  • relatively few high-end, high-cost machinery and devices have been redesigned from the ground up to incorporate IoT monitoring and operations.

Note the screen grab: each of these sensors takes 30,000 readings per second. How’s that for real-time data?  PTC refers to this as part of the “volume, velocity and variety challenge of data” with the IoT.

As a microcosm of the IoT’s benefits, this example shows how easy it is to use those massive amounts of data and how they can be used to improve understanding and performance.

There are three major components:

  • ThingWatcher:
    This is the most critical component, because it sifts through the incredible amount of data from the edge, learns what constitutes normal performance for that sensor (creating “pop-up learning flags”), and then monitors it future performance for anomalies and, as the sample video shows, delivers real-time alerts to users (without requiring human monitoring) so they can make adjustments and/or order repairs.  Finds anomalies from edge devices in real-time. Automatically observes and learns the normal state pattern for every device or sensor. It then monitors each for anomalies and delivers re- al-time alerts to end users.
  • ThingPredictor:
    For the all-important new function of predictive maintenance, two different types of ThingPredictor indicators pop up when if anomalies are detected, predicting how long it may be until failure, allowing plenty of time for less-costly, anticipatory repairs. Because the specific deviation is identified in advance, repair crews will have the needed part with them when needed, rather than having to make an additional trip back to pick up parts.

    If you ask for a standard predictive scoring you don’t specify which performance features to include and get a simple predictive score. However, you can specify several key features to evaluate and get a more detailed (and probably more helpful) answer. For example,  “if you indicate an important feature count of three, the causal scoring output will include the three most influential features for each record and the percentage weights of each feature’s influence on the score.”

  • ThingOptimizer:
    Finally, you can use “ThingOptimizer” to do some what-if calculations to decide which possible “levers,” as ThingWorx calls the key variables, could change the projections to either maximize a positive factor or minimize the negatives. “Prescriptive scoring results include both an original score (the score before any lever attributes are changed) and an optimized score (the score after optimal values are applied to the lever attributes). In addition, for each attribute identified in your data as a lever, original and optimal values are included in the prescriptive scoring results.” It sort of reminds me how the introduction of VisiCalc allowed users, for the first time, to play around with variables to see which would have the best results.
Best of all, as the video illustrates, ThingWorx Analytics would facilitate the kind of “Circular Company” I’ll address in my speech, because the exact same real-time data could simultaneously be used by operating personnel to fine tune operations and catch a problem in time for predictive maintenance, and by senior management to get an instant overview of how operations are going at all the installations. Same data, many uses.
Bottom line: a robust IoT platform could be the key to an incremental strategy to begin by improving daily operations and reducing maintenance problems, and also be the underpinning for more radical transformation as your IoT strategy becomes more advanced!  See you at LiveWorx!
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More Blockchain Synergies With IoT: Supply Chain Optimization

The more I learn about blockchain’s possible uses — this time for supply chains — the more convinced I am that it is absolutely essential to full development of the IoT’s potential.

I recently raved about blockchain’s potential to perhaps solve the IoT’s growing security and privacy challenges. Since then, I’ve discovered that it can also further streamline and optimize the supply chain, another step toward the precision that I think is such a hallmark of the IoT.

As I’ve written before, the ability to instantly share (something we could never do before) real-time data about your assembly line’s status, inventories, etc. with your supply chain can lead to unprecdented integration of the supply chain and factory, much of it on a M2M basis without any human intervention. It seems to me that the blockchain can be the perfect mechanism to bring about this synchronization.

A brief reminder that, paradoxically, it’s because blockchain entries (blocks) are shared, and distributed (vs. centralized) that it’s secure without using a trusted intermediary such as a bank, because no one participant can change an entry after it’s posted.

Complementing the IBM video I included in my last post on the subject, here’s one that I think succinctly summarizes blockchain’s benefits:

A recent LoadDelivered article detailed a number of the benefits from building your supply chain around blockchain. They paralleling the ones I mentioned in my prior post regarding its security benefits, of using blockchain to organize your supply chain (with some great links for more details):

  • “Recording the quantity and transfer of assets – like pallets, trailers, containers, etc. – as they move between supply chain nodes (Talking Logistics)
  • Tracking purchase orders, change orders, receipts, shipment notifications, or other trade-related documents
  • Assigning or verifying certifications or certain properties of physical products; for example determining if a food product is organic or fair trade (Provenance)
  • Linking physical goods to serial numbers, bar codes, digital tags like RFID, etc.
  • Sharing information about manufacturing process, assembly, delivery, and maintenance of products with suppliers and vendors.”

That kind of information, derived from real-time IoT sensor data, should be irresistible to companies compared to the relative inefficiency of today’s supply chain.

The article goes on to list a variety of benefits:

  • “Enhanced Transparency. Documenting a product’s journey across the supply chain reveals its true origin and touchpoints, which increases trust and helps eliminate the bias found in today’s opaque supply chains. Manufacturers can also reduce recalls by sharing logs with OEMs and regulators (Talking Logistics).
  • Greater Scalability. Virtually any number of participants, accessing from any number of touchpoints, is possible (Forbes).
  • Better Security. A shared, indelible ledger with codified rules could potentially eliminate the audits required by internal systems and processes (Spend Matters).
  • Increased Innovation. Opportunities abound to create new, specialized uses for the technology as a result of the decentralized architecture.”

Note that it the advantages aren’t all hard numbers, but also allowing marketing innovations, similar to the way the IoT allows companies to begin marketing their products as services because of real-time data from the products in the field. In the case of applying it to the supply chain (food products, for example), manufacturers could get a marketing advantage because they could offer objective, tamper-proof documentation of the product’s organic or non-GMO origins. Who would have thought that technology whose primary goal is increasing operating efficiency could have these other, creative benefits as well?

Applying  blockchain to the supply chain is getting serious attention, including a pilot program in the Port of Rotterdam, Europe’s largest.  IBM, Intel, Cisco and Accenture are among the blue-chip members of Hyperledger, a new open source Linux Foundation collaboration to further develop blockchain. Again, it’s the open source, decentralized aspect of blockchain that makes it so effective.

Logistics expert Adrian Gonzalez is perhaps the most bullish on blockchain’s potential to revolutionize supply chains:

“the peer-to-peer, decentralized architecture of blockchain has the potential to trigger a new wave of innovation in how supply chain applications are developed, deployed, and used….(becoming) the new operating system for Supply Chain Operating Networks

It’s also another reminder of the paradoxical wisdom of one of my IoT “Essential Truths,” that we must learn to ask “who else could share this information” rather than hoarding it as in the past. It is the very fact that blockchain data is shared that means it can’t be tampered with by a single actor.

What particularly intrigues me about widespread use of blockchain at the heart of companies’ operations and fueled by real-time data from IoT sensors and other devices is that it would ensure that privacy and security, which I otherwise fear would always be an afterthought, would instead be inextricably linked with achieving efficiency gains. That would make companies eager to embrace the blockchain, assuring their attention to privacy and security as part of the deal. That would be a definite win-win.

Blockchain must definitely be on your radar in 2017.

 

Lo and behold, right after I posted this, news that WalMart, the logistics savants, are testing blockchain for supply chain management!

 

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