Tag Archives: IoT
Lately I have been thinking a lot about what is real and just marketing fluff with the Internet of Things (IoT). From all the stories written and people that I talk to it seems I am not alone. One day there is news of what at best is a communications company receiving +100M in funding and the next there is what amounts to a re-skinned mobile app claiming to be the real IoT.
This is the first part in a series of posts where I am going to define a framework for identifying real IoT solutions and the value that they provide. In addition I will provide actual examples of companies and solutions that fit this solution definition framework.
My main issue with the entire IoT universe is that a lot of the focus in on things that do not exist or that have been around a long time and have just been re-branded. Neither of these actually do justice to the concept of IoT that is very interesting, which is using distributed data and events to deliver totally new or dynamically better solutions (think 10x or more) compared to what exists today. We are talking revolutionary and not evolutionary.
From my point of view real IoT solutions need to address one or more of the following solution areas and I will be using these and additional criteria to build out the framework.
- Personal productivity
- Business productivity
- Business critical
- Life critical
Have another point of view? Feel free to share. My next post will focus on the segment of personal productivity.
At long last, the anxiously awaited rules from the FAA have brought some clarity to the world of commercial drone use. Up until now, commercial drone use has been prohibited. The new rules, of course, won’t sit well with Amazon who would like to drop merchandise on your porch at all hours. But the rules do work really well for insurers who would like to use drones to service their policyholders. So now drones, and soon to be fleets of unmanned cars will be driving the roadways in any numbers of capacities. It seems to me to be an ambulance chaser’s dream come true. I mean who wouldn’t want some seven or eight figure payday from Google for getting rear-ended?
What about “Great Data”? What does that mean in the context of unmanned vehicles, both aerial and terrestrial? Let’s talk about two aspects. First, the business benefits of great data using unmanned drones.
An insurance adjuster or catastrophe responder can leverage an aerial drone to survey large areas from a central location. They will pin point the locations needing attention for further investigation. This is a common scenario that many insurers talk about when the topic of aerial drone use comes up. Second to that is the ability to survey damage in hard to reach locations like roofs or difficult terrain (like farmland). But this is where great data comes into play. Surveying, service and use of unmanned vehicles demands that your data can answer some of the following questions for your staff operating in this new world:
Where am I?
Quality data and geocoded locations as part of that data is critical. In order to locate key risk locations, your data must be able to coordinate with the lat/long of the location recorded by your unmanned vehicles and the location of your operator. Ensure clean data through robust data quality practices.
Where are my policyholders?
Knowing the location of your policyholders not only relies on good data quality, but on knowing who they are and what risks you are there to help service. This requires a total customer relationship solution where you have a full view of not only locations, but risks, coverages and entities making up each policyholder.
What am I looking at?
Archived, current and work in process imaging is a key place where a Big Data environment can assist over time. By comparing saved images with new and processing claims, claims fraud and additional opportunities for service can be detected quickly by the drone operator.
Now that we’ve answered the business value questions and leveraged this new technology to better service policyholders and speed claims, let’s turn to how great data can be used to protect the insurer and drone operator from liability claims. This is important. The FAA has stopped short of requiring commercial drone operators to carry special liability insurance, leaving that instead to the drone operators to orchestrate with their insurer. And now we’re back to great data. As everyone knows, accidents happen. Technology, especially robotic mobile technology is not infallible. Something will crash somewhere, hopefully not causing injury or death, but sadly that too will likely happen. And there is nothing that will keep the ambulance chasers at bay more than robust great data. Any insurer offering liability cover for a drone operator should require that some of the following questions be answered by the commercial enterprise. And the interesting fact is that this information should be readily available if the business questions above have been answered.
- Where was my drone?
- What was it doing?
- Was it functioning properly?
Properly using the same data management technology as in the previous questions will provide valuable data to be used as evidence in the case of liability against a drone operator. Insurers would be wise to ask these questions of their liability policyholders who are using unmanned technology as a way to gauge liability exposure in this brave new world. The key to the assessment of risk being robust data management and great data feeding the insurer’s unmanned policyholder service workers.
Time will tell all the great and imaginative things that will take place with this new technology. One thing is for certain. Great data management is required in all aspects from amazing customer service to risk mitigation in operations. Happy flying to everyone!!
I had the opportunity to participate in the Boulder edition of the “Where are your Wearables” Hackfest last week hosted by Quick Left.
With over a 100 people showing up and lots of first time hackers we saw eight teams form up with a mix of talents. Being a non-coder myself I simply picked a group that was not too big and offered my product talents in talking through concepts. More on what we built in a moment.
Hackfests almost always create issues when it comes to integration. Unless someone on the team already knows a lot about an API the first issues are getting setup.
- Connecting to data. Most teams used the Fitbit API only or a couple had another device they brought and then used that as a data source. Most teams spent time just getting access to the API setup, OAuth working and then dumping their data into a client for the app (if they got that far)
- Security. OAuth was a requirement for the Fitbit API which is pretty standard these days. The team I worked on had some issues that slowed us down getting this to work correctly.
- Clean data & real-time data. Given most teams had a basic scenario we were all only working with a single data set, but still getting access to the data in real-time for the client app added complexity to the solution. In the real world for most wearables to break through the basic health examples we see today they are going to need to blend multiple data sets to provide value to the end user.
A few thoughts on the solutions that were built
Most of the teams just tried to get one integration working and then add a secondary calculation or evaluation that would provide the value to the user. It’s only 3 hours and the KISS principle was generally followed by the best examples of the night.
In no order these were some of the solutions that stood out to me.
WaterGoals: Wearable integrated: Fitbit. This seemed like a very practical solution. The idea was that a lot of people are not able to read the display screen on the typical watch if they are exercising so why not integrate the data and add visuals that give them data like heart rate and water consumption. For example, the data could be integrated into the clothing they are wearing and either a single visual element or the entire garment could change color based on the person being below or above their hear rate goal range. Another example was adding a touch pad that would add a quantity of water consumed – say 1 cup – when the person pushed it while they were exercising because it’s not easy to fumble with your wearable.
Fitbeer: Wearable integrated: Fitbit. I worked on this team and the idea was just to provide an easy way for someone to track consumption of any liquid, but we used beer for the example. By tracking an activity type on a Fitbit and identifying arm movement the goal would be to track the number of times a person picked up their glass to consume and track real-time the calories being burned by the activity and the calories being consumed. In addition we planned an integration to Twitter so someone could share their results as a social component.
Where’s the damn remote: Wearable integrated: Myo armband. This team used a Myo to integrate to an Apple TV so they could do selection of shows/movies/music with hand gestures. This was interesting since they had to define the hand gestures and then do the integration to map them to get the desired action in the Apple TV. This was the most real demo of the night in terms of fully working.
My main take away from the event was that people are still searching for the way that wearables can be dead simple for the user and provide lots of value. Most of the generation 1 solutions provide some type of health measurements and now also provide access to the Internet (e.g. Google Glass) but finding ways to combine multiple data sets to provide a life changing solution are what will let us know when we are starting to see generation 2 solutions. And for the enterprise IT area it still seems wearables are a long way off as they remain very much a consumer oriented solution today with some things to work out before we see anything but very early experimentation for enterprise IT.
Data has always played a key role in informing decisions – machine generated and intuitive. In the past, much of this data came from transactional databases as well as unstructured sources, such as emails and flat files. Mobile devices appeared next on the map. We have found applications of such devices not just to make calls but also to send messages, take a picture, and update status on social media sites. As a result, new sets of data got created from user engagements and interactions. Such data started to tell a story by connecting dots at different location points and stages of user connection. “Internet of Things” or IoT is the latest technology to enter the scene that could transform how we view and use data on a massive scale.
Does IoT present a significant opportunity for companies to transform their business processes? Internet of Things probably add an important awareness veneer when it comes to data. It could bring data early in focus by connecting every step of data creation stages in any business process. It could de-couple the lagging factor in consuming data and making decisions based on it. Data generated at every stage in a business process could show an interesting trend or pattern and better yet, tell a connected story. Result could be predictive maintenance of equipment involved in any process that would further reduce cost. New product innovations would happen by leveraging the connectedness in data as generated by each step in a business process. We would soon begin to understand not only where the data is being used and how, but also what’s the intent and context behind this usage. Organizations could then connect with their customers in a one-on-one fashion like never before, whether to promote a product or offer a promotion that could be both time and place sensitive. New opportunities to tailor product and services offering for customers on an individual basis would create new growth areas for businesses. Internet of Things could make it a possibility by bringing together previously isolated sets of data.
Recent Economist report, “The Virtuous Circle of Data: Engaging Employees in Data and Transforming Your Business” suggests that 68% of data-driven businesses outperform their competitors when it comes to profitability. 78% of those businesses foster a better culture of creativity and innovation. Report goes on to suggest that 3 areas are critical for an organization to build a data-driven business, including data supported by devices: 1) Technology & Tools, 2) Talent & Expertise, and 3) Culture & Leadership. By 2020, it’s projected that there’ll be 50B connected devices, 7x more than human beings on the planet. It is imperative for an organization to have a support structure in place for device generated data and a strategy to connect with broader enterprise-wide data initiatives.
A comprehensive Internet of Things strategy would leverage speed and context of data to the advantage of business process owners. Timely access to device generated data can open up the channels of communication to end-customers in a personalized at the moment of their readiness. It’s not enough anymore to know what customers may want or what they asked for in the past; rather anticipating what they might want by connecting dots across different stages. IoT generated data can help bridge this gap.
How to Manage IoT Generated Data
More data places more pressure on both quality and security factors – key building blocks for trust in one’s data. Trust is ideally truth over time. Consistency in data quality and availability is going to be key requirement for all organizations to introduce new products or service differentiated areas in a speedy fashion. Informatica’s Intelligent Data Platform or IDP brings together industry’s most comprehensive data management capabilities to help organizations manage all data, including device generated, both in the cloud and on premise. Informatica’s IDP enables an automated sensitive data discovery, such that data discovers users in the context where it’s needed.
Cool IoT Applications
There are a number of companies around the world that are working on interesting applications of Internet of Things related technology. Smappee from Belgium has launched an energy monitor that can itemize electricity usage and control a household full of devices by clamping a sensor around the main power cable. This single device can recognize individual signatures produced by each of the household devices and can let consumers switch off any device, such as an oven remotely via smartphone. JIBO is a IoT device that’s touted as the world’s first family robot. It automatically uploads data in the cloud of all interactions. Start-ups such as Roost and Range OI can retrofit older devices with Internet of Things capabilities. One of the really useful IoT applications could be found in Jins Meme glasses and sunglasses from Japan. They embed wearable sensors that are shaped much like Bluetooth headsets to detect drowsiness in its wearer. It observes the movement of eyes and blinking frequency to identify tiredness or bad posture and communicate via iOS and android smartphone app. Finally, Mellow is a new kind of kitchen robot that makes it easier by cooking ingredients to perfection while someone is away from home. Mellow is a sous-vide machine that takes orders through your smartphone and keeps food cold until it’s the exact time to start cooking.
Each of the application mentioned above deals with data, volumes of data, in real-time and in stored fashion. Such data needs to be properly validated, cleansed, and made available at the moment of user engagement. In addition to Informatica’s Intelligent Data Platform, newly introduced Informatica’s Rev product can truly connect data coming from all sources, including IoT devices and make it available for everyone. What opportunity does IoT present to your organization? Where are the biggest opportunities to disrupt the status quo?
I have worked with several clients in the Internet of Things space over the last year and really enjoyed all of the engagements.
First, I am not a fan of the term IoT/Internet of Things. It just seems to be a bit too much pie in the sky and marketing. It reminds me a lot of the people who put an “e” or “i” in front of everything in the late 90s and early 00s. To me this is about expanded data integration use cases (e.g. more end points that you have the choice to access), data filtering and processing (e.g. what is the data you actually care about) and work flow/bpm from an enterprise perspective. (can you automate tasks and actions based on data or analysis of data)
There are definitely advancements in technology that are making for some very interesting solutions. My Nest thermostat is really cool, but it’s not really changing the world as one might think from some of the IoT frenzy the last few years. From what I have seen I think there are three main real world solutions that fit under the concept of IoT.
1) Passive Monitoring. This amounts to data collection and filtering. Lots of the consumer facing solutions fall into this category. Wearables, which we are told are super hot or just all the huge amount of big data collection that will then be churned and analyzed or just sit as it builds up. A big issue here is there is a lot of data to collect from an every growing set of end points but more data is not always useful if a company has not set up a process and a way to filter and identify the actual important data. I think the impact on individuals is more real than companies in this segment. I know people who swear they live better because of the data from their CPAP for example.
2) Active Monitoring. Most of these use cases fall into alerting or rule based work flow. There are examples of companies taking existing solutions or evolving existing solutions to then use real-time or near real-time data to drive work flow or alerts to make sure someone actually does something. My next write up is going to focus on an example in this space where a company has creating some really great technology to track usage of a product so they can provide real time view of inventory and then drive either automated replacement orders or work flow for people to do something like order more.
3) Automated response. To me a lot of the so called IoT use cases fall into a re-branding of solutions that have been around for years but now there is a mobile client. This is where all the security, energy (e.g. smart meters) and home automation fit.
Over the next 10 years I could see additional patterns become real, but a lot of the landscape is more hope than real when it comes to IoT from an enterprise company point of view or a how it really impacts a person’s life point of view. Of course I would expect other people would break down the use cases differently and I would love to hear your point of view.
(Note: IoT Landscape Chart is re-posted from work by First Mark Capital’s Matt Turck)
Consumer demand is driving the adoption of IoT as they embrace the new technology to improve health (Garmin Vívoactive), energy savings (NEST), safety (BeClose) and a better overall experience including shopping (beacons?). However, getting the balance between privacy, intrusion and relevance can be tricky for both the retailer and shopper.
While shoppers are willing to give up some level of privacy in return for personalization, I am not convinced most are ready of what the “Internet of Things” brings. I recently purchased a smart TV and was surprised when I was asked to accept terms and conditions before using, what are they capturing, how will it be used, will I see any benefits? Retailers need to demonstrate value and trust to the consumer.
While RFID has been around for many years the next wave of intelligent “things” bring both opportunities and challenges. Retailers need to decide which ones truly enhance the shopping experience.
“Psst! It’s Me, the Mannequin. This Would Look Great on You.” (Rachel Abrams, NY Times)
Smart Dummies (mannequins) – Last year House of Fraser started rolling out beacon-enabled mannequins to engage directly with shoppers and passers-by. Shoppers within a 50-metre range will receive information from the mannequins, which may include details about the clothes on display, with links to make a purchase from a website, or details of where the outfit can be found in the store. The next step could link customer preferences, profile and past purchases and suggest matching accessories, check customers size availability or monitor how long they browsed and offer a digital coupon.
Connected Hangers – While you browse through the racks, real-time reviews are displayed on the hanger, size availability or images & videos displayed on screens showing the garment in use. Retailers can capture how popular an item is but never purchased. Taking the clothes and hanger try on could provide personalized recommendation on shoes and accessories.
Personalized Mirrors – I recently read an article in Time (Dec 29th) about Rebecca Minkoff’s new store in Manhattan, where they installed a giant mirrored panel showing images of models walking down the runway. The panel acts as a mirror and touchscreen, where shoppers can order up a personalized fitting room, offering style tips based on their selection. This is connected to a mobile app that saves their browsing history and style preferences for their next visit. When a customer is ready to purchase a sales assistant takes payment on an iPad.
In future blog I will discuss how location based services are machine-to-machine technologies are impacting retailers and consumers.
With so many devices connected and larger volumes of data captured this raises concerns around data privacy and security. In the past year we have seen too many stores on data breaches and retailers. While shoppers are prepared to share more information for relevance they expect you to keep it safe and secure. Retailers must have a solid data governance framework and process in place or risk losing the trust and loyalty of their customers.
Sensor Driven Analytics
The Internet of Things presents retailers with a wonderfully opportunity to understand and engage the customer like never before. However, retailers need to manage the explosion of data available through smarter devices to gain insight into shopper behaviours and preferences and turn into a more rewarding experience for the consumer.
However, before loading an analytics engine they need to ensure the data is clean, connected and safe. Without this any decisions made are flawed and will impact their brand and ultimately the bottom line.
Marketers, Are You Ready? The Impending Data Explosion from the New Gizmos and Gadgets Unveiled at CES
This is the first year in a very long time that I wasn’t in Las Vegas during CES. Although it’s not quite as exciting as actually being there, I love that the Twitter-verse and industry news sites kept us all up to date about the latest and greatest announcements. Now that CES2015 is all wrapped up, I find myself thinking about the potential of some very interesting announcements – from the wild to the wonderful to the leave-you-wondering! What strikes me isn’t how useful these new gizmos and gadgets will likely be to myself and my consumer counterparts, but instead what incredible new data sources they will offer to my fellow marketers.
One thing is for sure… the connected “Internet of Things” is indeed here. It’s no longer just a vision. Sure, we’re just seeing the early stages, but it’s becoming more and more main stream by the day. And as marketers, we have so much opportunity ahead of us!
I ran across an interesting video interview on the CES show floor with Jack Smith from GroupM on Adweek.com. Jack says that “data from sensors will have a bigger impact, longer term, than the Internet itself.” That is a lofty statement, and I’m not sure I’ll go quite that far yet, but I absolutely agree with his premise… this new world of connectivity is already shifting marketing, and it will almost certainly radically change the way we market in the near future.
Riding the Data Explosion (Literally)
The Connected Cycle is one of the announcements that I find intriguing as a marketer. In short, it’s a bike pedal equipped with GPS and GPRS sensors that “monitor your movements and act as a basic fitness tracker.” It’s being positioned as a way to track stolen bicycles, which is a massive problem in Europe particularly, with the side benefit of being a powerful fitness tracker. It may not be as sexy as some other announcements, but I think there is buried treasure in devices like these.
Imagine how powerful that data would be to a sporting goods retailer? What if the rider of that bicycle had opted into a program that allowed the retailer to track their activity in exchange for highly targeted offers?
Let’s say that the rider is nearing one of your stores and it’s a colder than usual day. Perhaps you could push them an offer to their smart phone for some neoprene booties. Or let’s say that, based on their activity patterns, the rider appears to be stepping up their activity and is riding more frequently suggesting they may be ready for a race you are sponsoring in a few months in the area. Perhaps you could push them an inspirational message saying how great they’re progressing and had they thought about signing up for the big race, with a special incentive of course.
The segmentation possibilities are endless, and the analytics that could be done on the data leaves the data-driven marketer salivating!
Home Automation Meets Business Automation
There were numerous announcements about the connected “house of the future”, and it’s clear that we are just beginning of the home automation wave. Several of the big dogs like Samsung, Google, and Apple are building or buying automation hub platforms, so it’s going to be easier and easier to connect appliances and other home devices to one another, and also to mobile technology and wearables. As marketers, there is incredible potential to really tap into this. Imagine the possibility of interconnecting your customers’ home automation systems with your own marketing automation systems? Marketers will soon be able literally serve up offers based upon things that are occurring in the home in real time.
Oh no, your teenage son finished off all but the last drop of milk (and put the almost-empty jug back in the fridge without a second thought)! Not to worry, you’ve linked your refrigerator’s sensor data with your favorite grocery store. An alert is sent asking if you want more milk, and oh by the way, your shopping patterns indicate you may be running out of your son’s favorite cereal too, so it offers you a special discount if you add a box to your order. Oh yeah, of course he was complaining about being out just yesterday! And whala, a gallon of milk and some Cinnamon Toast Crunch magically arrives at your door by the end of the day. Heck, it will probably arrive within an hour via a drone if Amazon has anything to say about it! No manual business processes whatsoever. It’s your appliance’s sensors talking to your customer data warehouse, which is talking to your marketing automation system, which is talking to a mobile app, which is talking to an ordering system, which is talking to a payment system, which is talking to a logistics/delivery system. That is, of course, if your internal processes are ready!
Some of the More Weird and Wacky, But There May Just Be Something…
Panasonic’s Smart Mirror allows you to analyze your skin and allows you to visualize yourself with different makeup or even a different haircut. Cosmetics and hair care companies should be all over this. Imagine the possibilities of visualizing yourself looking absolutely stunning – if only virtually – with perfect makeup and hair. Who wouldn’t want to rush right out and capture the look for real? What if a store front could virtually put the passer-byer in their products, and once the customer is inside the store, point them to the products that were featured? Take it a step further and send them a special offer the next week to come back buy the hat that just goes perfectly with the rest of the outfit. It all sounds a little bit “Minority Report-esque”, but it’s closer to becoming true every day. The power of the interconnected world is endless for the marketer.
And then there’s Belty… it’s definitely garnered a lot of news (and snarky comments too!). Belty is a smart belt that slims or expands based upon your waist size at that very moment – whether you’re sitting, standing, or just had a too-large meal. I don’t see Belty taking off, but you never know! If it does however, can’t you just see Belty sending a message to your Weight Watchers app about needing to get back on diet? Or better yet, pointing you to the Half Yearly Sale at Nordstrom because you’re getting too skinny for your pants?
The “Internet of Things” is Becoming Reality… Is Your Marketing Team Ready?
The internet of things is already changing the way consumers live, and it’s beginning to change the way marketers market. With the It is critical that marketers are thinking about how they can leverage the new devices and the data they provide. Connecting the dots between devices can become a marketer’s best friend (if they’re ready), or worst enemy (if they’re not).
Are you ready? Ask yourself these 6 questions:
- Are your existing business applications connected to one another? Do your marketing systems “talk” to your finance systems and your sales systems and your customer support systems?
- Do you have fist-class data quality and validation technology and practices in place? Real-time, automated processes will only amplify data quality problems.
- Can you connect easily to any new data source as it becomes available, no matter where it lives and no matter what format it is in? The only constant in this new world is the speed of change, so if you’re not building processes and leveraging technologies that can keep up, you’re already missing the boat!
- Are you building real time capabilities into your processes and technologies? You systems are going to have to handle real-time sensor data, and make real-time decisions based on the data they provide.
- Are your marketing analytics capabilities leading the pack or just getting out of the gate? Are they harnessing all of the rich data available within your organization today? Are you ready to analyze all of the new data sources to determine trends and segment for maximum effect?
- Are you talking to your counterparts in IT, logistics, finance, etc. about the business processes and technologies you are going to need to harness the data that the interconnected world of today, and of the near future? If not, don’t wait! Begin that conversation ASAP!
Informatica is ready to help you embark on this new and exciting data journey. For some additional perspectives from Informatica on the technologies announced at CES2015, I encourage you to read some of my colleagues’ recent blog posts:
There is a new “Band Wagon” out there and it’s not Big Data. If you were at this year’s CES Show this past week, it would have been impossible even with a “Las Vegas-size” hangover not to have heard the hype around the Internet of Things (IoT). The Internet of Things includes anything and everything that is connected to the Internet and able to communicate and share information with other “smart” devices. This year as well as last it was about home appliances, fitness and health monitors, home security systems, Bluetooth enabled toothbrushes, sensors in shoes to monitor weight and mileage, thermostats that monitor humidity and sound, to kitchen utensils that can track and monitor the type of food you cook and eat.
If you ask me, all these devices and the IoT movement is both cool and creepy. Cool in the sense that networking technology has both matured and become affordable for devices to transmit data for companies to turn into actionable intelligence. IoT is creepy in the sense where do I really want someone monitoring what I cook or how many times I wake up and night? Like other hype cycles or band wagons, there are different opinions as to the size of the IoT market. Gartner expects it to include nearly 26 billion devices, with a “global economic value-add” of $1.9 trillion by 2020. The question is whether the Internet of Things is truly transformational to our daily lives? The answer to that really depends on being able to harness all that data into information. Just because my new IoT toothbrush can monitor and send data on how many times I brush my teeth, it doesn’t provide any color whether that makes me healthier or have a prettier smile :).
To help answer these questions, here are examples and potential use cases of leveraging all that Big Data from Small devices of the IoT world:
- Mimo’s Smart Baby Monitor is aimed at helping to prevent SIDS, the Mimo monitor is a new kind of infant monitor that provides parents with real-time information about their baby’s breathing, skin temperature, body position, and activity level on their smartphones.
- GlowCaps fit prescription bottles and via a wireless chip provide services that help people stick with their prescription regimen; from reminder messages, all the way to refill and doctor coordination.
- BeClose offers a wearable alarm button and other discrete wireless sensors placed around the home, the BeClose system can track your loved one’s daily routine and give you peace of mind for their safety by alerting you to any serious disruptions detected in their normal schedule.
- Postscapes provides technology a suite of sensors and web connectivity help save you time and resources by keeping plants fed based on their actual growing needs and conditions while automating much of the labor processes.
- OnFarm solution combines real-time sensor data from soil moisture levels, weather forecasts, and pesticide usage from farming sites into a consolidated web dashboard. Farmers can use this data with advanced imaging and mapping information to spot crop issues and remotely monitor all of the farms assets and resource usage levels.
- Banks and auto lenders are using cellular GPS units that report location and usage of financed cars in addition to locking the ignitions to prevent further movement in the case of default.
- Sensors on farm equipment now provides real-time intelligence on how many hours trackers are used, the weather conditions to predict mechanical problems, and measuring the productivity of the farmer to predict trends in the commodity market.
I can see a number of other potential use cases for IoT including:
- Health devices not only sending data but receiving data from other IoT devices to provide real time recommendations on workout routines based on weather data received from real-time weather sensors, food intake from kitchen devices, to nutritional information based on vitamins and medications consumed by the wearer.
- Credit card banks leveraging their GPS tracking device data from auto loan customers to combine it with credit card data to deliver real-time offers on merchant promotions while on the road.
- GPS tracking devices on hotel card keys to track where you go, eat, entertain to deliver more customized services and offers while one is on a business trip or vacation.
- Boxing gloves transmitting the impact and force of a punch to monitor for athlete concussions.
What does this all mean?
The Internet of Things has changed the way we live and do business and will continue to shape the future hopefully in a positive way. Harnessing all of that Big Data from Small devices does not come easily. Every device that generates data sends it to some central system through WiFi or cellular network. Once in that central system, it needs to be access, translated, transformed, cleansed, and standardized for business use with data from other systems that run the business. For example:
- Access, transform, and validate data from IoT with data generated from other business applications. Formats and values will be often different and change over time and needs to be rationalized and standardized for downstream business use. Otherwise, you end up with a bunch of Alphas and Numerics that make no sense.
- Data quality and validation: Just because a sensor can send data, it does not mean it will send the right data or data that is right for a business user trying to make sense of it. GPS data requires accurate coordinate data. If any value is transmitted incorrectly, it is important to identify those errors; more importantly correct it so the business can take action. This is especially important when combining like values (e.g. Weather status = Cold, Wet, Hot however the device is sending A,B, C)
- Shared with other systems: Once your data is ready to be consumed by new and existing analytic applications, marketing systems, CRM, or your fraud surveillance systems, it needs to be available in in real-time if required, in the right format, and structure as required by those applications and doing it in a way that is seamless, automated, and does not require heavy IT lifting.
In closing, IoT’s future is bright along with the additional insights gained from all that data. Consider it Cool or Creepy one thing is for sure, the IoT band wagon is in full swing!
Recently, I got to speak to a CIO at a Global 500 Company about the challenges of running his IT organization. He said that one of his biggest challenges is getting business leaders to understand technology better. “I want my business leaders to be asking for digital services that support and build upon their product and service offerings”. I think that his perspective provides real insight to how businesses should be thinking about the so called Internet of Things (IoT), but let me get you there first.
What is the IoT?
According to Frank Burkitt of @Strategy, by 2029, an estimated 50 billion devices around the globe will be connected to the Internet. Perhaps a third will be computers, smartphones, tablets, and TVs. The remaining two-thirds will be “things”–sensors, actuators, and intelligent devices that monitor, control, analyze, and optimize our world. Frank goes on to say if your company wants to stake a claim in the IoT, you first need to develop a distinctive “way to play”—a clear value proposition that you can offer customers. This should be consistent with your enterprise’s overall capabilities system: the things you do best when you go to market.
While what Frank suggests make great sense, they do not in my opinion provide the strategic underpinning that business leaders need to link the IoT to their business strategy. Last week an article in Harvard Business Review by Michael Porter and James E. Heppelmann shared what business leaders need to do to apply the IoT to their businesses. According to Porter and Hepplemann, historical, enterprises have defined their businesses by the physical attributes of the products and services they produce. And while products have been mostly composed of mechanical and electrical parts, they are increasingly becoming complex systems that combine hardware, sensors, data storage, microprocessors, software, and data connectivity.
The IoT is really about creating a system of systems
Porter and Hepplemann share in their article how connectivity allows companies to evolve from making point solutions, to making more complex, higher-value “systems of systems”. According to Russell Ackoff, a system’s orientation views customer problems “as a whole and not on their parts taken separate” (Ackoff’s Best, Russell Ackoff, John Wiley and Sons, page 47). This change means that market winners will tend to view business opportunities from a larger versus a smaller perspective. It reminds me a lot of what Xerox did when it transformed itself from commoditized copiers to high priced software based document management where the printer represent an input device to a larger system. Porter and Hepplemann’s give the example of a company that sells tractors. Once a tractor is smart and connected, it becomes part of a highly interconnected agricultural management solution.
According to Porter and Hepplemann, the key element of “smart, connected products” is they take advantage of ubiquitous wireless connectivity to unleash an era where competition is increasingly about the size of the business problem solved. Porter and Hepplemann claim that as smart, connected products take hold, the idea of industries being defined by physical products or services alone will cease to have meaning. What sense does it make to talk about a “tractor industry” when tractors represent just a piece of an integrated system of products, services, software, and data designed to help farmers increase their crop yield?
Porter and Hepplemann claim, therefore, the phrase “Internet of Things” is not very helpful in understanding the phenomenon or even its implications. They say after all what makes smart, connected products fundamentally different is not the Internet, it is a redefinition of what is a product and the capabilities smart, connected products provide and the data they generate. Companies, therefore, need to look at how the IoT will transform the competition within their specific industries.
Like a business slogan, the IoT is about putting IT inside
IT leaders have a role to play in the IoT. They need to move IT from just assisting business management drive improvements to the company value chain to organizations that as well embed IT in what become system oriented products. How perceptive, therefore, was my CIO friend.
Porter and Hepplemann claim connectivity serves two purposes. First, it allows information to be exchanged between a product and its operating environment, its maker, its users, and other products and systems. Second, connectivity enables some functions of the product to exist outside the physical device. Porter and Hepplemann give the example of Schindler’s PORT Technology that reduces elevator wait times by as much as 50% by predicting elevator demand patterns, calculating the fastest time to destination, and assigning the appropriate elevator to move passengers quickly. Porter and Hepplemann see as well intelligence and connectivity enabling an entirely new set of product functions and capabilities, which can be grouped into four categories: monitor, control, optimize, and autonomy. To be clear, a systems product can potentially incorporate all four.
- Monitored products alert users to changes in circumstances or performance. They can provide a product’s operating characteristics and history. A company must choose the set customer value and define its competitive positioning. This has implications design, marketing, service, and warranty.
- Controlled products can receive remote commands or have algorithms that are built into the device or reside in the product’s cloud. For example, “if pressure gets too high, shut off the valve” or “when traffic in a parking garage reaches a certain level, turn the overhead lighting on or off”.
- Optimized products apply algorithms and analytics to in-use or historical data to improve output, utilization, and efficiency. Real-time monitoring data on product condition and product control capability enables firms to optimize service.
- Autonomous product like are able to learn about their environment, self-diagnose their own service needs, and adapt to users’ preferences.
Smart, connected products expand opportunities for product differentiation
In a world where Geoffrey Moore sees differentiated products constantly being commoditized; smart, connected products dramatically expand opportunities for product differentiation and move the competition away from price alone. Knowing how customers actually use your products enhances a company’s ability to segment customers, customize products, set prices to better capture value, and extend value-added services. Smart, connected products, at the same time, create opportunities to broaden the value proposition beyond products per se, to include valuable data and enhanced service offerings. Broadening product definitions can raise barriers to entrants even higher. The powerful capabilities of smart, connected products not only reshape competition within an industry, but they can expand the very definition of the industry itself. For example, integrating smart, connected farm equipment—such as tractors, tillers, and planters—can enable better overall equipment performance.
Smart, connected products will not only reshape competition within an industry, but they can expand the very definition of the industry itself. Here Porter and Hepplemann are talking here about the competitive boundaries of an industry widen to encompass a set of related products that together meet a broader underlying need. The function of one product is optimized with other related products.
Porter and Hepplemann believe that smart, connected products allow as well companies to form new kinds of relationships with their customers. In many cases, this may require market participants to develop new marketing practices and skill sets. As companies accumulate and analyze product usage data, they will as well gain new insights into how products create value for customers, allowing better positioning of offerings and more effective communication of product value to customers. Using data analytics tools, firms will be able segment their markets in more-sophisticated ways, tailor product and service bundles that deliver greater value to each segment, and price those bundles to capture more of that value.
Some parting thoughts
So summarizing their position, Porter and Hepplemann believe the IoT is really about taking smart things and building solutions that solve bigger problems because one can architect the piece parts into a solution of solutions. This will impact marketplace dynamics and create competitive differentiators in a world of increasing product commodization. For me this is a roadmap forward especially for those at the later stages of product lifecycle curve.
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Last week I had the opportunity to attend the Gartner Security and Risk Management Summit. At this event, Gartner analysts and security industry experts meet to discuss the latest trends, advances, best practices and research in the space. At the event, I had the privilege of connecting with customers, peers and partners. I was also excited to learn about changes that are shaping the data security landscape.
Here are some of the things I learned at the event:
- Security continues to be a top CIO priority in 2014. Security is well-aligned with other trends such as big data, IoT, mobile, cloud, and collaboration. According to Gartner, the top CIO priority area is BI/analytics. Given our growing appetite for all things data and our increasing ability to mine data to increase top-line growth, this top billing makes perfect sense. The challenge is to protect the data assets that drive value for the company and ensure appropriate privacy controls.
- Mobile and data security are the top focus for 2014 spending in North America according to Gartner’s pre-conference survey. Cloud rounds out the list when considering worldwide spending results.
- Rise of the DRO (Digital Risk Officer). Fortunately, those same market trends are leading to an evolution of the CISO role to a Digital Security Officer and, longer term, a Digital Risk Officer. The DRO role will include determination of the risks and security of digital connectivity. Digital/Information Security risk is increasingly being reported as a business impact to the board.
- Information management and information security are blending. Gartner assumes that 40% of global enterprises will have aligned governance of the two programs by 2017. This is not surprising given the overlap of common objectives such as inventories, classification, usage policies, and accountability/protection.
- Security methodology is moving from a reactive approach to compliance-driven and proactive (risk-based) methodologies. There is simply too much data and too many events for analysts to monitor. Organizations need to understand their assets and their criticality. Big data analytics and context-aware security is then needed to reduce the noise and false positive rates to a manageable level. According to Gartner analyst Avivah Litan, ”By 2018, of all breaches that are detected within an enterprise, 70% will be found because they used context-aware security, up from 10% today.”
I want to close by sharing the identified Top Digital Security Trends for 2014
- Software-defined security
- Big data security analytics
- Intelligent/Context-aware security controls
- Application isolation
- Endpoint threat detection and response
- Website protection
- Adaptive access
- Securing the Internet of Things