Liveblogging #IoT @ #Liveworx 2016 — day 2

Colin Angle, CEO, iRobot:

  • smart home: people have hard time learning how to use current generation of smart home devices. Unacceptable delay in activation. we need “just live your life, and the house does the right thing.” Shouldn’t have to pull out phone.  Will be aware of your location, act naturally.
  • “Need metaphor of the room to exist” — and robot will do that. Cool: Future iRobot could do that while doing its own job. New generation of iRobot has mapped 1/2 billion sq. feet in less than a year.
  • Would be a lot cooler if you can just buy a smart bulb, screw it in, and it would just work without having to do anything.
  • Pogue: how do you deal with the criticism that iRobot LOOKS as if it is cleaning randomly? Angle: Customers just cared that it actually did the job. “Just make it clean better” — I don’t care how long it takes, because I’m not there.
  • Next generation of robotics will be manipulation.
  • Angle: “if you’re worried about AI taking over, don’t worry about me, worry about the marketing guys.  … I just vacuum floors.”  This is so funny: “I used to be a self-respecting robot scientist, but it wasn’t until I became a vacuum salesman that I made any money.”

Eric Schaeffer, Accenture:

  • significant change, affecting both demand and supply. No industry unaffected.
  • to remain competitive, countries and companies will have to be at edge of innovation. Faster than ever.
  • strategies focused on cost-cutting less effective than emphasis on new products
  • World Economic Forum looking at impact of internet on business and society
    • 1st report: industrial internet of things & how it would transform industries. Adoption accelerating.
    • 3-4 yrs. from now, major structural changes, massively transformative (but you can begin w/ incremental change).
    • only 7% of 500 companies surveyed said they had comprehensive IoT strategy.
  • illustrations: water distribution network, dramatic time savings in time to install plane seats.
  • where’s the value? integrate smart products and back-office systems for IoT and As-a-Service Enabled approach.
  • Moving to multi-dimensional definition of a product.
  • Companies will become platforms
  • Sales models will move to as-a-service
  • They have identified 30% “uplift” for generic company. Specific improvements from digitization of the enterprise varies from one industry to another
  • Examples:
    • a Euro telecoms company: using a Google Glass-style product for field technicians at job sites and to capture data in field. 20-40% productivity gains.
    • pay-per-use vehicle services: a French tire company that wants to create 1 b Euro biz in “mobility.” — from selling tires to selling outcomes! Money-back guarantee. 2.5 liters reduction in gas use for 100 km driven — huge reduction in trucking companies. 
    • connected homes: working with multiple clients to define what the services will be.
  • Scope and scale of changes acute.
  • Recent survey: 42% of companies have said improvement has been in how they interact with customers.
  • Leading companies moving from product push to creating value by:
    • focusing on higher value solutions
    • focusing on enhanced experience
    • focusing on customer outcomes.
  • still focus on the what, but also the how!
  • dramatic shift to “Total Experience Innovation.”
    • Be Solution Centric: all centered on customer
    • Build an Insight Platform: continuously renew
    • Drive Pivotal Leaders: find right leaders.
  • Examples:
    • ALS patients: helping them regain control of their lives through wearables, displays, etc. done with Phillips.
    • industrial equipment manufacturer: breaking silos. Innovation digital factory: to instill connectivity into the biz, and build outcome-based offers, and increasing level of engagement with customers.
  • Future:
    • implantable technologies
    • wearable internet
    • IoT everywhere
    • connected home
    • driverless cars
    • robotics
    • sharing economy

Here’s the main event!  Prof. Michael Porter, iRobot’s Colin Angle & PTC’s Jim Heppelmann on IoT transformation:

  • Porter & Heppelmann’s research collaboration on IoT: he was a PTC board member. “Magical opportunity”
  • Porter: both products and internal operations are changing due to IoT
  • Porter: still in early stages of industrial conversion
  • Porter: IoT is wrong term: real emphasis is change in products and what they can do. Embedding in service companies. Every service business will be affected.
  • Heppelmann: the IoT also affects how the customer operates the product.
  • Angle: iRobot has jumped into IoT with both feet. Touches every aspect of their biz.
  • Heppelmann: missed the human element in this. That led to their AR initiative, so people could relate to the new products in ways that are both physical and digital.
  • Angle: iRoomba sending data back in real time on how it’s being used. No more focus groups! Robot part of design team.
  • Heppelmann: fundamentally different design process now.
  • Porter: who collects, who decides how to use the data? New chief data officer position.
  • Angle: who is best to handle the data? Idea of chief data officer interesting. Product ID a new competency.
  • Porter: starting to see new organizational structures pop up. Becoming possible to sell almost anything as a service.
  • Heppelmann: “devops” — combine development & operations. Chief Data Officer — whose job is it to decide what the data is telling various departments?
  • Porter: can’t have handoffs between each group, because you need continuing dialogue.
  • Heppelmann: industrial companies can learn from software companies, with techniques such as agile dev in software.  Continuous improvement. Also, “customer analytics.”

 

Liveblogging #IoT @ #Liveworx 2016

1st up is Jim Heppelmann, PTC CEO and co-author w/ Michael Porter of the great 2-part HBR series on IoT strategy & tactics.

But 1st, few words from David Pogue, the great consumer tech writer: imagine his surprise when he sees his kids at home in CT have cranked the Nest 2 66 degrees. So he turns it up, LOL.

Heppelmann:

  • part of a fundamental transformation
  • one of biggest game-changing technologies of our time
  • things evolving from being simple physical products to complex systems, systems of systems
  • “single new reality that’s physical and digital at the same time”
  • example of rapid change: Augmented Reality & Virtuality combined with IoT: Terri Lewis, director of solutions & tech at Caterpiller — XQ Gen Set — rental power for job sites & sport events — “asset utilization” big deal for rentals & for the customers — can operate from a remote device (iPad in this case). PTC’s new product is Vuforia Studio Enterprise — “democratizing AR.” When used as a sales tool, lets customer look inside the product, vs. a static brochure.
  • humans prefer to use sight and sound simultaneously: he & Porter are working on another article on adding AR to business setting.
  • analytics: analytics is the new refinery for data, which is the new oil.  Announcing Thingworx Analytics. Example: Flowserve, an industrial products company.World’s largest flow control company. Helps to do real-time management of the device. It now takes only 1 repair trip to fix assembly rather than 3 before, because they know the actual problem at beginning. Do real-time simulations to see if it was solved.  Augmented Reality allows the person right at the pump, to see what is actually happening — that wasn’t possible before. Radically reduces time & money necessary to get it back online — reducing what was a $2 billion loss in 2015 alone.
  • New announcement: HPE industrial, hardened server to run such a system.
  • Engineering products: working with a group of local STEM kids in a robotics competition, FIRST Robotics. Use AR as part of the design review process, using Google Cardboard & Agile Engineering process. Team demo’s it.
  • He thinks they are THE company for digital/physical convergence.

Michael Campbell, Vuforia Studio AR:

  • augmented reality without writing code
  • reduces the CAD data set by 150x to optimize it, but protects all the visual richness
  • use in design review
  • can create compelling AR in a few minutes! Woo!
  • can actually put the digital info on the physical product itself.  Creo Illustrate for tech illustrators: step-by-step illustrations (wow, would that be great for product assembly and repair uses!). Intuitive interface, drag-n-drop.

 

Alexa and Aging: more on voice as THE interface for “SmartAging”

 Amazon Alexa & services it can trigger!

Amazon Echo & services it can trigger!

I predict every elderly person will soon have a personal home assistant, ready to respond to their every command.

However, that home health aide may not be human, but sit on the kitchen counter, and look suspiciously like Amazon’s breakthough IoT device, The Echo.

The late Mark Weiser, “the father of the Internet of Things,” famously predicted that “the best computer is a quiet, invisible servant,” and that’s certainly the potential with Echo, or the just announced Google Assistant (how sexy is that name? I like the fact it’s so impersonal. Let’s you fire one voice “assistant” and hire another without becoming personally attached, LOL), or the much-rumored Apple version, which might also include a camera (disclaimer: while I work part-time at an Apple Store, I ain’t privy to any inside dope, no way, no how).

That’s particularly the case when it comes to seniors, and my SmartAging vision of an IoT-based future for them combining Quantified Self health monitoring devices that can motivate seniors to improve their fitness levels, and smart home devices that can make it easier to manage their homes as they age, to avoid costly and soul-deadening institutionalization (or, even better, combining the two, as with one of my favorite IFTTT “recipes,”  programming your Jawbone to wake you gently at the best time in your sleep cycle, AND gradually turn on your Hue lights. How better for a senior — or anyone — to start their day on a positive note (OK, I know what you’re thinking: better turn on the coffee maker automatically!).

      KidsMD for Amazon Alexa

What really got me thinking about the advantages of a voice-activated future for seniors was a recent story about a similar app for the other end of the age spectrum, developed by our Children’s Hospital, for Alexa: KidsMD. What better for a harried mom or dad, with his or her hands full, AND a sick child to boot, than to simply ask for advice on temperature, fever and the like? That got me thinking that the same would apply to seniors as well, needing advice with some of the unwanted aspects of aging (I could mention here an example from a senior I care for, but that would be most unpleasant…). As I’ve said before, this would be helpful under any circumstances, but when the person needing help is a frail, tech-averse senior, it would be superb if s/he only had to speak a simple command or request to get needed help, or advice on something such as the proper amount of an over-the-counter drug to take.

There are tons of other life-improving reasons for such an approach for seniors, including:

Of course, and I can’t emphasize this enough, especially since seniors are already victims of so many scamming tricks, because these counter-top devices are always on, listening to you,  and because much of their possible use could be for reporting confidential health or financial data, privacy and security MUST be THE top priority in designing any kind of voice-activated app or device for seniors. Think of them as the canaries in the coal mine in this regard: protecting vulnerable seniors’ privacy and security should be the acid test of all voice-activated apps and devices for people of all ages.

Having said all that, as I noted in a piece last week about what a stunning combination of services Amazon has put together to become the dominant player in the retail IoT sector, one of those offerings is the $100 million Alexa fund to fuel advances in the voice-activated arena.  I’m ready to put their money where my mouth is  (LOL) in this regard, to design voice-activated devices and services for seniors.  If you’d like to partner, E-mail me!!

Industry Week Survey: Most Manufacturers Don’t Get IoT

A new Industry Week survey shows that most manufacturers are, at best, just testing the IoT waters, and few have made the management changes necessary that show they understand the IoT’s revolutionary potential to change every aspect of their products, manufacturing, and even their management.

 The Internet of Things: Finding the Path to ValueThe survey, “The Internet of Things: Finding the Path to Value,” (underwritten by SAS) was conducted late last year.  478 companies completed it.  The survey’s major finding was that:

Despite the fact that they’re already collecting such (i.e., IoT) data, and two- thirds believe the Internet of Things technology will be critical to their future success, only one third of manufacturers report that they have a specific IoT technology strategy.” (my emphasis)

One finding was particularly damning, because it shows senior management really doesn’t get the full value of IoT data and how it must radically alter their decision making:

“… two out of three say they rely more on management experience [than the IoT] when addressing key business issues.”

On the other hand, 28% said they think they’re outpacing their competitors in use of the IoT. Pardon my skepticism..

Here’s the finding that clearly indicated to me that these executives don’t get it that the vast amounts of data yielded by the IoT requires new analytical tools (HANA and its ilk) and new skill sets (i.e., data scientists): ”

It should come as no surprise … that well over half (57%) of manufacturers report that they are using spreadsheets to analyze sensor data.” (my emphasis)

Really?? Those guys gotta download the Managing the Internet of Things Revolution e-guide I wrote for SAP, which explained that the way to ease your way into the IoT is to begin by acquiring data mining and visualization tools and beefing up your cloud storage, which will benefit you with your current operations, as well as building the data analysis skills such as predictive analytics — and attitudes — necessary to capitalize on the IoT.  If you’re analyzing sensor data with spreadsheets, your priorities are totally out of wack…

On the positive side, 45% are integrating and supplementing IoT data regarding product quality, and 43% integrating production data.

I see little indication from the findings that most companies (a few, such as GE and Siemens, excepted) are fully integrating the IoT into day-to-day operations, resulting in what I’ve called “precision manufacturing.”

Long way to go, folks, long way to go…

 

Amazon Leads IoT With Comprehensive Services, Platform & Devices!

Several months ago I predicted that Amazon’s Echo might become the IoT’s killer device, primarily because it is voice activated. It appears that prediction is coming true, which should give the entire consumer IoT a boost because Amazon is also providing a soup-to-nuts approach of devices, platform, and storage meeting a wide range of IoT needs, which puts a real emphasis on customer ease of use.

 Amazon Flywheel

Amazon Flywheel

Even more exciting from my perspective, is that part of that success may be due to something I was unaware of that fits beautifully with my “circular enterprise ” vision of the IoT: Jeff Bezos’ back-of-the-envelope sketch when he founded the behemoth, of what he called the “Amazon Flywheel,” It’s as good an illustration as I can think of regarding my vision of circular organizations and strategy — not to mention their profitability!

Even the WSJ got on board with an article about Amazon in regard to the IoT, although it focused solely on Echo and its voice app, Alexa, and ignored the all-important mechanics that it also provides.

 Amazon IoT Button

Amazon IoT Button

The latest step in fleshing out the ecosystem was the announcement earlier this month of the AWS IoT Button, modeled on its highly successful DASH button, which allows ordering more than 100 different consumer products from Amazon by simply pressing the button (the “button” is also now also available in virtual form as a software service, so that a number of products, such as a Whirlpool smart washing machine, will determine that the owner is running low on detergent, and automatically send an alert to her phone. A simple touch on the phone triggers a refill order from Amazon). The 1st edition IoT button sold out instantly!

It joins a comprehensive, and growing, package of IoT devices and services from Amazon that I suspect will quickly make it the platform of choice for the consumer IoT:

You get the idea: this is a conplete solution, from platform to cloud storage to devices to highly-personal (voice) interface.


 

And there’s that matter of the Amazon Flywheel that I mentioned previously.  I came across it in researching this post, in a blog post by John Rossman in which he referred to the Flywheel as “a long-tested systems dynamic view of Amazon’s core retail and marketplace business” (music to my ears: it was exposure to Jay Forrester & Peter Senge’s work on systems dynamics that first got me interested in cyclical processes, back in the late ’80s). He explains how this continuous loop leads to dynamic growth, especially in Amazon’s infrastructure offerings:

“When thinking through an IoT solution, what is most obvious is the end device.  But this is the classic “tip of the iceberg” in creating an end-to-end solutions.  The IoT Value Chain is defined by devices, connectivity, big data, algorithms, actions, and connection to the rest of the enterprise.  As more and more IoT Devices get introduced, a greater amount of data (both big and small) is generated. This data, once integrated with algorithms create a greater overall customer IoT impact generating more demand for more devices. All of these devices and services can be hosted on AWS and utilize their infrastructure capabilities leading to greater growth of the infrastructure. At this point, the loop looks familiar: infrastructure growth leads to lower costs, which means more services and companies rely on the infrastructure locking into a cycle of higher customer impact.  Amazon Web Services has several existing IoT enabling products include AWS Redshift, AWS Kinesis, AWS Machine Learning and recent acquisition of 2lemetry show that the big bet for Amazon is not in creating devices for its retail business, but in providing cloud infrastructure and software to thousands of companies needing to build IoT devices and capabilities.  This is the AWS IoT flywheel and the real business in IoT for Amazon.”

Yeah, but the bucks that it will get from Dash orders and from Echo ain’t shabby either. Keep up that cyclical thinking, Mr. Bezos!

 

PS: this also makes me more and more confident that Echo and Alexis can be the key to the robust “SmartAging” approach that I visualize because its use of voice will help seniors, especially the tech-averse, manage their health AND their homes and allow them to age in place healthily! Gonna have to get me some partners to go after Alexa Fund backing…

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Connected Cow: another thing you couldn’t do until IoT

Posted on 2nd May 2016 in agriculture, Internet of Things

I love IoT apps and devices that allow us to increase the efficiency of existing products and services, but long-time readers may remember that I have a special fond spot for “what can you do now that you couldn’t do before” when it comes to the IoT. These are things such as the Toronto Hospital for Sick Children collaboration that allows treating preemies for infections a full day before any symptoms, or the way Tesla did a recall without anyone having to come to a dealer. More often than not, the

More often than not, they stem from the fact that the IoT for the first time allows us to cure what I call “Collective Blindness,” and learn about the inner workings of things that were simply impossible to observe in the past.

Here’s a new one in that category: Fujitsu’s “Connected Cow” technology.  Like the IBM researchers and docs who found that preemies’ heartbeats changed when they were developing the infection, ranchers observing data from cows wearing pedometers realized that the cows’ took more steps when they were in heat, allowing them to time artificial insemination for the precise time when the cows ovulated, resulting in higher fertilization rates. The “step count data [is sent] via the internet, analyzed in the cloud, and generates an email alert when there are signs of increased stepping.” It may be possible in the future to use the system to choose the calves gender.

It’s in use in Japan and South Korea, and is being tested in Poland, Turkey and Roumania.

 

 

 

Zoe: perhaps even better than Echo as IoT killer device?

Zoe smart home hub

I’ve raved before about Echo, Amazon’s increasingly versatile smart home hub, primarily because it is voice activated, and thus can be used by anyone, regardless of tech smarts — or whether their hands are full of stuff.  As I’ve mentioned, voice control makes it a natural for my “SmartAging” concept to help improve seniors’ health and allow them to manage their homes, because you don’t have to understand the underlying technology — just talk.

Now there’s a challenger on the horizon: start-up Zoe, which offers many of Echo’s uses, but with an important difference that’s increasingly relevant as IoT security and privacy challenges mount: your data will remain securely in your home. Or, as their slogan goes:

“So far, smart home meant high convenience, no privacy, or privacy, but no fun. We are empowering you to have both.”

You can still get in on Zoe’s Indegogo campaign with a $249 contribution, which will get you a hub and an extra “voice drop” to use in another room, or the base level, $169 for a single room. Looks kinda cool to me, especially with the easily changed “Art Covers” and backlight coloring (the Che Guevera one looks appropriate for a revolutionary product) …  The product will ship in late 2016.

Don’t get me wrong: I love Echo & will be getting mine soon, but there is that creepy factor given government officials’ fascination with the potential of tapping into smart home data as part of their surveillance. Remember what US Director of Intelligence James Clapper said, ““In the future, intelligence services might use the [internet of things] for identification, surveillance, monitoring, location tracking, and targeting for recruitment, or to gain access to networks or user credentials.” Consider then, that Echo sits there on your kitchen counter, potentially hacked and then hoovering up all of your kitchen chit-chat to relay directly to the spooks.  Wouldn’t you rather that data remained totally under your control?

In addition to storing the data on site rather than in the cloud, Zoe also touts that it has advanced voice-recognition so it can learn IFTTT-style “recipes,” or be operated by apps. She comes with 1,500 built-in voice commands, or, if you stump her, (and only if you choose to, preserving that in-house-only option) web-based Advanced Voice Recognition steps in, with a cloud-based voice recognition system. Her recognition capabilities will grow over time.. Zoe will work with WiFi, Bluetooth, Z-Wave, and other standards.

The company will ship the developers’ kit in six months. It will be open source.

Not being cloud based will mean it loses to Echo on two important counts. For many people, the ability to order things from Amazon simply by speaking may be more important than security concerns,. Also, I notice it doesn’t mention any speakers, so it may be lacking the ability to also serve as a music source (obviously it wouldn’t work with Amazon Music or Apple Music if it isn’t cloud-connected, but it would at least be nice to be able to use it to play your own collection — advantage to Echo on that one.

At least this means there’s competition in the field (and, BTW, I’d love to see Apple swoop in and make THE voice-activated device!)


BTW: Thanks to good buddy Bob Weisberg for the tip about Zoe! Follow him!

 

My IoT Day Interview With Sudha Jamthe

Oops: I’ve been preoccupied with all sorts of dreck since returning from my SAP event, so I haven’t been able to post.

Did want to call your attention to a long IoT Day interview I did with the estimable Sudha Jamthe, author of The Internet of Things Business Primer.  We covered a range of topics, including the state of the IoT in Boston (and my enthusiasm about GE’s move here, because of their track record of working with IoT startups and even individuals), how I got involved in my IoT-based “SmartAging” crusade, and how the IoT may make possible “circular enterprises” orbiting around real-time IoT data.  Enjoy!

Live Blogging from SAP’s SCM CRM IoT 2016 – Day 2

Greg Gorbach, ARC Advisory Group, Industrial Internet of Things:

  • ARC is an analyst firm, in Boston.
  • new service models
  • new products
  • new production techniques
  • new business processes
  • new competitors
  • new partners
  • new workers
  • new business opportunities.
  • innovation improves competitiveness: value-based competitiveness raises value of output.
  • Drivers:
    • reduced machine or asset downtime
    • more rapid service response
    • improved process performance
    • improved personnel productivity
    • reduced machine or asset lifecycle costs
    • improved asset utilization/RoA
    • opportunity for business innovation
    • ability to sell products as a service
  • manufacturing momentum for digital transformation: factors include 3D printing, IoT technologies, changing economies of scale, new service models
  • goal is digital transformation
  • software transitioning from monolithic to microservices

Richard Howells, SAP:

  • IoT is all about re-imaging things:business process, customer experiences
  • SAP solutions for IoT
    • SAP Connected Assets
    • SAP Connected Manufacturing
    • SAP Network Logistics Hub
    • SAP Augmented Reality Solutions
  • SAP Predictive Maintenance and Service: leverage operational insights to drive innovation & new business models
    • Deere putting sensors everywhere, doing predictive maintenance of tractors. In some cases, leasing instead of selling, so they have incentive to keep it operating.
    • Kaeser Compressors
    • Asset Intelligence Network
    • Connective Manufacturing: leveraging big data to drive new insights into operations.
      • Example of Harley Plant in York, Pa.  Many new design options (1,700 options), but do 25% more bikes with 30% fewer people. Went from 21 days for a custom cycle top 6 hours.
      • Pepsi: improving asset utilization with SAP Connected Manufacturing: collect all downtime and loss data in real time.  Went from 65 to 85% asset use.
    • SAP Networked Logistics Hub
    • SAP AR Warehouse Picker
    • SAP AR Service Technician

Where is IoT going??

  • 68% of companies see IoT being strategic or transformational to their business.
  • 78% plan to invest in IoT  in next 24 mo. — 24% already have.
  • Increasing productivity and improving customer experience are top business benefits
  • Challenges to deploying IoT include unclear ROI, lack of industry standards, costs, and data security.

 

Next was my presentation on “Getting Started With the IoT,” in which I emphasized that companies that have hung back from the IoT are still in the majority, but had better heed John Chambers’ warning that they’ll be toast in just a few years if they don’t start now.  I emphasized that an ideal early focus is to build the efficiency or “precision” of your existing operations, and to build operating safety (especially in inherently dangerous settings such as construction sites), then move on to more radical transformation.  I cited GE’s rather modest goal (I think they’re understating it, based on their own internal results) of a 1% increase in productivity for the IoT as something that most companies could achieve, and then talked about GE’s Brilliant Factories as a model for increasing operating efficiency, zeroing in on my favorite example, the Durathon Battery plant, where a sensor on every battery and 10,000 on the assembly line give them tremendous flexibility to cope with differing situations and to increase efficiency.  Finally, I suggested that the companies begin to rethink the role of their products and to begin considering the “circular enterprise” vision I’ve articulated as they look to the future.


 

Kris Gorrepati, SAP “IoT: from Big Data to Smart Data to Outcomes.”

  • OK, I’d never heard of a Brontobyte before…
  • “IoT relevant to all industries.” Agreed.
  • Amazon Dash service (Whirlpool now building it in!)
  • Uses same curve that other SAP guys do: from connect to transform to reimagine (latter being empowering new biz models, value-added products and services.
  • HANA Cloud Platform for the IoT.

Live Blogging from SAP’s SCM CRM IoT 2016

I’m back in Sodom and Gomorrah in the desert, AKA Las Vegas, to speak at another SAP IoT conference: SCM CRM IoT 2016, and to live blog again!

Keynoters: Hans Thalbauer, sr. vp of extended supply chain solutions at SAP, and Dr. Volker G. Hildebrand, global vp or customer engagement & commerce for SAP Hybris:
Hildebrand:

  • theme: move beyond traditional CRM: look at entire customer journey
  • you have to meet customer expectations for convenience, relevance, reliability, and in real-time.
  • real lesson from Uber: customers upend markets, not companies; carry power of internet in their pocket; if you’re fighting alone, you have no chance of success;
  • when London cabbies went on strike, Uber membership went up 850% in 3 days.
  • “74% of execs. believe digital transformation is improving value for customers”
  • must thinking beyond CRM: 2 of 3 companies don’t think their CRM doesn’t support their future needs for customer engagement.
  • blend marketing & commerce.
  • personalization is key to digital commerce.
  • beyond service: customer served before, during & after buy; flawless field service. 53% abandon online purchase if they don’t be quick answers to questions.
  • why no app from cable provider allowing you to get assistance Uber-style? Instead, hold on phone.
  • One-to-one future is here.
  • Omnichannel selling
  • By 2020: 1 million fewer B2B sales reps (@Forrester)
  • EY: enabled collaboration with 15,000 client partners
  • “Engage your customers like never before:” commerce, marketing, service & sales.

Bob Porter, Pregis (protective packaging):

  • liked ease of use with Hybris (vs. Salesforce)

Thalbauer (digital transformation of supply chain):

  • end-consumer driven economy
  • very related to IoT
  • tech adoption accelerating
  • biz model transformation
  • instant notification if the equipment malfunctions
  • change of business transformation
  • disruption in every aspect of business:
    • customer-centric (demand sensing, omni-channel sales, same-day delivery)
    • individualized products (configured products, digitalized inventory, lot size of one)
    • resource scarcity (talent, sustainability, natural resources)
    • sharing economy (social networks, business networks, asset networks)
  • sweet: combo of 3-D printing at warehouse & Uber-based model for final delivery.
  • extended supply chain demo: sweet (literally): 3-D printing of chocolates at high-end stores! — wonderful example of IoT data-centric enterprise
  • SAP increasing pace of innovation
    • fastest-growing planning solution in history
    • only live logistics platform in the market
    • product innovation platform re-defined
    • demand-driven manufacturing
    • digital assets.

Next up: Sacha Westermann, Port of Hamburg, on how it uses IoT to streamline operations, improve efficiency & reduce accidents through “smartPORT”:

  • it’s very big (largest port in Germany), and very complex! Ships, rail (largest rail hub in Europe), trucking. 24/7.
  • big emphasis on environment: need to reduce emissions, improve sustainability.
  • can’t expand area, but must be able to handle more volume.
  • key factor is connectivity between all parties.
  • smartPORT includes energy & logistics.
  • smart maintenance: use mobile to call up SAP order & create messages, take photos. Example of malfunction with a drawbridge. Technician got new button from stock, installed it, customers didn’t even know there was a problem.
  • port monitor: digital map with all info to operate the harbor. Mobile version on iPad.
  • SmartSwitch for rail: sensors on the switches to measure conditions. Automated data flow to maintenance company.
  • dynamic info on traffic volumes: combines all real-time data on traffic. Detects available parking spaces. Created “PrePort Parking” as holding area for trucks that are early or late. Trucks park bumper-to-bumper for maximum efficiency.
  • special traffic lights: cycle changes based on real-time traffic flow. Warning messages if pedestrians cross.
  • smartROAD: smart sensing of the bridge-structural load — identifies interdependencies and to do predictive maintenance.
  • Take aways:
    • good application requires lot of data
    • must share data
    • data privacy critical for confidence
    • everyone gets just info they need
    • more participants, higher the benefit for each
    • open interfaces basic
    • application must be self-explanatory

Next up: me!, on 4 Essential Truths of IoT & how that translates into strategy.


 

Mike Lackey, IoT Extended Supply Chain, SAP explaining their IoT strategy & direction, with emphasis on “driving customer value”:

  • he’s using universe of 75 billion connected devices by 2022.
  • case study: STILL, the smart lift truck from Germany. Forklift sold as service, based on weight of materials carried. They will communicate among themselves, M2M.
  • “It is not about Things, it is about what the Things can do to radically transform business processes!”
  • oil & gas: reducing spills. They worked with the company that made the platform that failed in Deep Horizon — hadn’t been maintained in years.
  • Burbury: want to know exactly what you looked at, share the info among their stores. Creepy: invasion of privacy??
  • UnderArmour: why do you have to wear a band — build sensors right into clothes.
  • Hagleitner (I reported about them at last SAP event) provides supplies for corporate washrooms, etc. Paradigm shift: sensors let them know which dispensers need new materials. “big washroom data
  • applications: drive adoption with a few killer applications. Differentiate with “Thing to Outcome”
  • cloud: leading cloud experience for customers and partners at lowest TCO
  • platform: open big data platform. high-value services for SAP, customer & partner
  • Kaeser Compressors also made paradigm shift: no longer sell air compressors, but air — must guarantee it works constantly. Million data points per compressor daily. Differentiates them from competitors.
  • one tractor company now can recommend to farmers what they should plant based on data from sensors on the plows.
  • Asset Intelligence Network: great example of data sharing for mutual advantage. To be released soon.
  • Enables connected driving experience.
  • SAP IoT Starter Kit can get you started.