adopt the ones which makes more sense to your business.
Most IoT projects today are unsuccessful
A recent Cisco survey of 1845 business and IT decision-makers in mid market and enterprise companies, conducted in April 2017, found that nearly three quarters of Internet of Things (IoT) projects were not successful.
The top five reasons include:
- Long completion times,
- Poor quality of the data collected,
- Lack of internal expertise,
- IoT integration,
- Budget overruns.
These results are not surprising given the immaturity of the IoT solutions, evolving technology standards, and limited expertise among the IoT community.
In light of these survey results, how do you ensure that your first IoT project implementation will be successful? In this post, I’ll share ten best practices for managers planning their first IoT project.
Best Practices for IoT Projects
Best Practice #1 – Solve a problem that someone cares about. Whether it’s a pilot project, or a mini IoT project added to a larger non-IoT project, make the project relevant by addressing a real need. This ensures visibility and support from the organization, whether it is something as simple as time to answer your questions, commitment from management, or contribute resources. Equally important, it gives you a foundation from which to build follow-on projects.
Best Practice #2 – Plan conservatively. As an early IoT adopter, your organization’s capabilities will be limited and the learning curve will be steep. Managers must plan for this in several ways. Don’t try to “change the world”, but instead focus on doing one or two things well. Define the requirements well and resist scope creep. Build in a larger than usual contingency for schedule, resources and cost.
Best Practice #3 – Fix outdated processes and policies. IoT solutions can disrupt existing organizational processes and policies. If you fix the technology but not the processes and policies, you will just get “bad news faster”. Implementing the technology side of IoT is only half the solution. Realize its full potential by updating affected, or in some cases, creating new processes and policies.
Best Practice #4 – Partner for success. IoT solutions affect multiple teams within the organization. Partner with these affected teams early in the planning process to get their requirements, gain their support (knowledge, resources, and budget), and leverage their influence to remove barriers during the execution stages. Partner with your organization’s digital transformation or innovation office, if one exists.
Equally important, partner with IoT solution vendors throughout the process. At this stage of the market, their solutions are still evolving. Work with your IoT vendor at a deeper level than you would with other vendors. Stay in close contact and leverage their product management and technical support teams throughout the project. Co-design the solution and project with them – tell them what features you like to see, report bugs, and test updated versions of the product.
Best Practice #5 – Augment your capabilities with outside resources. Address gaps in your internal capabilities by leveraging outside resources. Build your IoT knowledge through information shared on industry blogs, publications and analyst reports. Augment your project planning and execution capabilities by contracting with subject matter experts, IoT consultants, and innovation labs.
Best Practice #6 – Address resistance to change. The more disruptive the IoT solution is, the more likely you will face adoption resistance both internally and externally. Whether the changes are small or large, ensure IoT project success with a change adoption plan early on in the project. Identify who is affected and how they are affected, then understand their objections. Craft a plan to address these objections, be transparent and communicate regularly, and implement well before the solution goes live. Be responsive and act with a sense of urgency to any concerns raised during the project.
Best Practice #7 – Define extended project success and goals. During the project planning stage, identify the key success outcomes of the project. Beyond the goals directly enabled by the IoT solution, consider goals around internal capabilities development, gaps identification (processes, policies, technologies, resources, etc.), organization readiness, channel and customer acceptance. Treat your early IoT projects as learning experiences, and use these projects to learn, experiment, uncover challenges, develop the organization and go faster on future projects.
Best Practice #8 – Drive shared ownership and accountability. IoT solutions affect multiple teams across the organization. Because of this, you must establish a structure of shared ownership and accountability to drive project success. Identify and secure the commitment of the critical executive sponsors and business unit owners. Align the value and relevance of the IoT solution to their team’s goals and needs to drive their ownership.
Best Practice #9 – Establish a learning culture. To ensure that your subsequent IoT projects are successful, you must establish a rapid learning culture right from the start. During the project, establish a process for experimenting, prototyping and problem solving. At the end of the project, document the knowledge and expertise gained, and then develop a system to retain and transfer that knowledge. Identify who the “experts” are, the lessons learned, and project debriefs. Develop a system to share that knowledge across the organization, with solutions vendors, consultants, and other resources.
Best Practice #10 – Be flexible and adapt. Despite careful planning and risk management, your first IoT projects will still be significant learning experiences. You know what you know, but you don’t know what you don’t know. Your planning and risk management is based on what you know. Unforeseen things happen because of the things you, your consultants, or the vendors don’t know. In this type of environment, the project teams should be nimble and agile to respond to the unplanned. Incorporate larger contingencies in project plans. Prepare your sponsors and owners to expect change. Select your project team members for their ability to quickly adapt and learn, as well as for their knowledge and execution ability.
Benson Chan is an innovation catalyst at Strategy of Things, helping companies transform the Internet of Things into the Innovation of Things through its innovation laboratory, research analyst, consulting and acceleration (execution) services. He has over 25 years of scaling innovative businesses and bringing innovations to market for Fortune 500 and start-up companies. Benson shares his deep experiences in strategy, business development, marketing, product management, engineering and operations management to help IoTCentral readers address strategic and practical IoT issues.
Internet of Things (IoT) solutions offer tremendous and disruptive value for customers, but sometimes have the unintended effect of adversely impacting the channel that it is sold and serviced through. This results in slow adoption of IoT solutions, even if those solutions have significant and tangible customer value.
Common product-market fit mistakes
While many IoT vendors understand the concept of product-market fit, a common mistake that many product managers make is to overlook or understate the impact of the solution on stakeholders that “touch” the solution (Figure One) beyond the end user customer. When the needs of all the primary and secondary stakeholders are aligned with the solution, market adoption is facilitated. When the needs of these stakeholders conflict, market adoption is slowed or even stopped.
One example of an external stakeholder is the channel reseller. Many manufacturers incorporate a channel strategy to market, sell and service their products in order to scale the business. The channel can be an one tier channel (manufacturer sells direct to reseller, who then resells it to the end customer) or a two tier channel (manufacturer sells to distributor, who then resells it to reseller, who finally resells it to the end customer).
Consider an IoT based predictive maintenance solution for commercial heating, ventilation, and air conditioning (HVAC) systems. With this solution, the channel resellers will now know when the parts in the HVAC system are wearing out and a proactive service call is needed. While this assures the customers that their HVAC system will have minimum downtime, it may not be so good for the reseller. Prior to the incorporation of IoT into an HVAC system, channel resellers may have set up a service agreement with the end user where they would perform routine maintenance four times a year. With the IoT solution in place, it may reveal that they only need to come out once or twice a year to do maintenance. The reduced number of visits mean that their revenues from service calls is also reduced. Given this reality, the channel resellers have no incentive to adopt the predictive maintenance solution.
A second common mistake is to look at product-market fit from a static perspective. In fact, the product manager must look at the product-market fit over the solution’s entire lifecycle from purchase to retirement (Figure Two). At each of the stages over the lifecycle, there may be different people or organizations “touching” the solution and performing a slightly different task in support of common activities. Problems arise when the needs of each party are inconsistent or misaligned.
Conflicts, or friction arise between the buyer, the vendor and the other affected stakeholders when there is misalignment of their needs. These needs may include performance, cost, revenue, operating efficiency, roles and responsibilities. Some of these misalignments may be managed, while others may be more severe and require a solution redesign.
Best practices to remove the friction points
Practice#1 - Expand your product-market fit analysis over the entire solution lifecycle.
As you design your IoT solutions, map out the different stakeholders that touch your product, from the time it leaves your hands delivery to the time it is retired from use. Identify who they are, why the customer buys from them, the tasks they do, the value they add, and how they make their money.
How does your solution impact the services the channel provides, their value, and their financials? What is changed and disintermediated?
It is not always possible to avoid disintermediation. But with this understanding, work with the channel to co-create a solution that removes the friction points, creates new value and opportunities.
Practice #2 - Create new value beyond product innovation.
Product managers must think beyond product and technology innovation. IoT solutions can also provide business model, service, and customer experience innovation. When designing the IoT solution with the channel needs in mind, look for opportunities to create these forms of innovation that will provide significant value for all stakeholders.
Customer experience innovation transforms the “customer journey”. It re-imagines how a customer uses a product or service. It uses data collected to create new processes, business partnerships, organizations and technology to support the new journey. Examples include Apple iPod/iTunes changes how we buy and listen to music, Uber changes how we go from one place to another, Netflix changes how we watch television, and Amazon Echo ((“Alexa”) changes how we control devices.
Services innovation transforms how, what and when a service is rendered, and who it is being offered to. It enhances a current value, or creates an entirely new value that was not possible before. A product can also be transformed into a service (e.g. car rentals). Some examples include Software-as-a-Service changes how we buy software, Uber changes how we go from one place to another, and Amazon Web Services changes businesses use IT infrastructure.
Business model innovation. A business model describes how an organization creates and delivers value to its customers. It is defined by nine parts – customer types, value to customer, sales channels, customer relationship types, revenue sources, operating resources, operational activities, key partnerships, and cost structure. Business model innovation transforms these nine parts to create to enhance or create new value to existing customers or to an entirely new customer base. Some example include Amazon Web Services “IT pay for you use” model, ZipCar’s “car sharing” model and Apple iPhone’s app ecosystem model.
Practice #3 - Develop marketing programs that incentivize the channel to pursue “green field” opportunities.
It is not always possible to redesign the solution to eliminate the misalignment between the stakeholders. In this type of scenario, develop marketing and channel programs that allow the channel to target new opportunities where the solution provides a significant competitive advantage. This will allow them to create new revenue streams that will offset any loss of revenues from the current business.
Recalling the predictive maintenance example in which the reseller is reluctant to offer the IoT based solution because their services revenues would decrease. However, the reseller can offer the solution to new customers (those it never had, including those customers who use a competitor’s solutions). The new solution may give them an unique compelling competitive advantage and offset potential revenue decreases when their customers convert to the new IoT solution in the future.
Practice # 4 - Help your channel identify suitable niches within their existing customer base.
While the channel may be reluctant to offer your IoT solution to all of their existing customers, there may be pockets within their base where your solution is in alignment with the reseller’s needs. They may have existing customers where the cost to service them is high, or the revenue impact is minimal, or are considering alternative offerings from other vendors. Help the channel understand what these opportunities are, identify the target customer profiles, and develop conversion campaigns that allow them to sell to these customer niches.
Benson Chan is an innovation catalyst at Strategy of Things, helping companies transform the Internet of Things into the Innovation of Things through its innovation laboratory, research analyst, consulting and acceleration (execution) services. He has over 25 years of scaling innovative businesses and bringing innovations to market for Fortune 500 and start-up companies. Benson shares his deep experiences in strategy, business development, marketing, product management, engineering and operations management to help IoTCentral readers address strategic and practical IoT issues.
It’s not uncommon to drive about any major city at night and see many buildings illuminated despite the fact that the workers went home hours earlier. Likewise, manufacturing plants the world over often have equipment unnecessarily consuming energy during idle periods. Power plants create and store energy everyday and use energy distribution grids to distribute energy to users, but are they doing it “smartly?”
With rising concerns about global warming, this immense waste of energy undoubtedly hurts the environment, but it also hurts business. Offices, manufacturing plants, commercial spaces and power grids all stand to benefit financially from better and “smarter” energy management.
How IoT Reduces Energy Usage for Businesses and Manufacturing
In his article, “Report: Lofty Energy Management Goals Far Ahead of Reality,” (Panoramic Power, August 5, 2015) Jon Rabinowitz points out that most companies receive data on their energy usage only at the end of each billing cycle, which is usually a month at a time. By incorporating Internet of Things (IoT) technology, energy consumption data will be available in real-time, and energy-reducing measures can be implemented as soon as a problem gets detected (rather than waiting until the end of the month). Integrating smart devices through IoT technology will provide greater visibility into energy usage and help both industrial and commercial enterprises save energy, and as a result, save money.
Starting with simple, smart and low cost sensors, like User to User Information (UUI) and Feature Driven Development (FDD) devices, businesses can reduce energy usage and cost by dimming lights, turning off unnecessary equipment and improving the use the cooling/heating apparatus. Software that collects and correlates granular usage data, performs analytics and then converges information to increase efficiency will make manufacturing plants “smarter,” and thus more cost-effective.
Local and remote sensors that detect points of inefficiency quickly and perform triage to decrease waste will also reduce the need for maintenance as constant monitoring will detect small issues before they become big problems. Continuous optimization through 24/7 monitoring will assure that energy is not wasted during slow periods in between high-usage spans, while maximizing the use of energy-demanding equipment at critical times.
Specific Use Cases – Energy Production and Management
- General Electric’s Asset Performance Management software connects disparate data sources in power plants, enabling data analytics to guide energy usage and to increase efficiency (“10 Real-Life Examples of IoT Powering the Future of Energy,” Internet of Business, Freddie Roberts, Oct. 7, 2016).
- Duke Energy, a Florida-based electric power holding company, has developed a self-healing grid that automatically reconfigures itself when power goes out. Using digital smart sensors at sub stations and on power lines, the system automatically detects, isolates and reroutes power in the most efficient way when problems occur (Roberts).
- Pacific Gas & Electric Company is testing drones as a means to monitor and evaluate electric infrastructure systems in hard-to-reach areas. The ease of access will allow more frequent and consistent monitoring and drastically reduce the amount of methane leaks and other unwanted disruptions. (Roberts).
Energy Saving in the Auto Sector
Nissan (manufacturer of the world’s best-selling electric car, the Leaf) and ENEL (Europe’s second largest power company) have teamed to develop an innovative vehicle-to-grid (V2G) system that creates mobile energy hubs, which also integrates the electric cars and the power grid. The system allows Leaf owners to charge at low-demand, cheap-tariff periods, while allowing owners to use the energy stored in the car’s battery to power their home during peak periods, or when power goes out. Owners can store excess energy, or return it to the grid, making the entire system more efficient for everyone (“Nissan and ENEL to test first Grid Integrated Vehicles in Denmark,” Copenhagen Capacity, December 11, 2015).
As evidenced by these specific use cases, IoT technology is making energy-intensive systems in power generation and in manufacturing far more efficient. It’s good for the environment, but it’s also good for business. Intelligent implementation of energy saving technology stands to benefit every business, from small commercial enterprises to the largest power producing utility companies in the world. It’s time to make the move to smarter energy usage, for both the environment and for your bottom line.
Originally published on the Unified Inbox blog
About the Author
Richard Meyers is a former high school teacher in the SF Bay Area who has studied business and technology at Stanford and UC-Berkeley. He has a single-digit handicap in golf and is passionate about cooking, wine and rock-n-roll.
- Newborn babies are given wristbands, allowing a wireless network to locate them at any time.
- They have installed wireless sensors in refrigerators, freezers and laboratories to ensure that blood samples, medications and other materials are kept at the proper temperatures.
- Hospital has more than 600 infusion pumps which are IoT enabled. BMC staff members can now dispense and change medications automatically through the wireless network, rather than having to physically touch each pump to load it up or make changes.
- Data security & lack of standard security policy
- Hospital’s internal system integration with IoT data
- Further changes and improvements in IoT hardware
The world is full of normal people like you and me, but I love to think that superheroes live between us and I dream that maybe someday I could become one of them and make a better world with my super powers.
In the universe of superheroes fit gods, mutants, humans with special skills, but also the special agents. I found fun to find similarities between this fantastic world and the world of IoT platforms. Compare and find a reasonable resemblance between IoT Platforms and Superheroes or Super villains is the goal of this article. Opinions as always are personal and subject to all kinds of comments and appreciations. Enjoy, the article.
About IoT Platforms
Many of my regular readers remember my article “It is an IoT Platform, stupid !.”. At that time, per Research and Markets, there were more than 260 IoT platforms, today some sources speak about 700 IoT platforms. I confess, I have not been able to follow the birth, evolution and in some cases death of all IoT platforms out there. I think that many enthusiasts like me also have given up keeping an updated list.
I cannot predict which IoT platforms will survive beyond 2020, or which will be the lucky start-ups that will be bought by big companies or will receive the investors' mana to become a Unicorn, but I like to speculate, and of course, I have my favourite winners and unlucky losers.
About my Own Methodology
Some reputed analysts have adapted their classification methodologies of IT solutions to put some order and consistency into the chaotic and confusing Internet of Things (IoT) platforms market. But given the moment of business excitement around the IoT, have appeared new analyst firms focused on IoT who also wanted to contribute their bit and at the same time make cash while this unsustainable situation lasts.
After reading numerous reports from various sources on this topic, talking to many IoT platform vendors and seeing endless product demos, I have decided to create my own methodology that includes a questionnaire of near 100 questions around different areas: technical, functional, business, strategy, and a scoring mechanism based on my knowledge and experience to make justified recommendations to my clients.
About Super Powers Methodology
But I also had defined an alternative Methodology based on Super Powers.
Super Heroes and Super Villains usually gain their abilities through several different sources, however these sources can be divided into four categories. The Super Powers methodology is based on these four categories of Power Sources.
- Mind Powers – Powers with notable mental abilities. Companies like IBM Watson IoI or GE Predix are notable examples.
- Body Powers – Powers that are gained from genetic mutation. Companies like Microsoft or Amazon mutate to IaaS / PaaS IoT platforms.
- Spirit Powers – Powers gained over time through extensive investment, and are easily obtainable by companies without the risk of horrible mutation or disfigurement. PTC Thingworx, Software AG/Cumulocity or Cisco-Jasper are examples.
- Artefact Powers – Powers gained abilities through ancient objects such as networks, or hardware. Incumbent Telcos M2M Platforms, Telco vendors like Huawei, Nokia or Ericsson, and Hardware vendors like Intel IoT platform, ARM Beetle or Samsung Artik are examples.
For each Power Source category, Super Powers are divided into different levels of power that depend on how strong, or unique, their abilities are.
- Level 0 - with useless, or minimal abilities.
- Level 1 - they are still particularly weak compared to the higher levels.
- Level 2 - have developed their powers to a certain point. About 75% of the platforms belong to this class,
- Level 3 - Mostly are most commonly amateur heroes or sly villains.
- Level 4 - Some of the most unique with a wider variety of powers.
- Level 5 - these fellows are seasoned veterans of their abilities, capable of using them without even needing to concentrate.
- Level 6 - Only a few beings are classified under this level, and their powers are that of being able to control multiple aspects of IoT reality.
Whatever the source of power was, I add Sandy Carter´s recommendation: If you want to become an Extreme Innovator you also need Super Intelligence, Super Speed and Super Synergy.
About Super Heroes and Super Villains
Previously in “Internet of Things: Angels & Demons” and “Internet of Things – Kings and Servants” , I identified some IoT Platform companies as potential superheroes. What was certain is that we knew who the supervillains were. Governments, organizations and business giants that try to control us, manipulate us and frighten us with their economic, political and military powers.
Deciding which superhero can help you more or what superpower is more important for your business is an extremely important milestone in your IoT Strategy.
I've defined the six types/categories of superheroes / IoT Platforms:
a)The superhero whose power is a birthright like Amazon AWS IoT (Superman) or GE Predix (Magneto/Professor Xavier).
b)The superhero whose power is the result of power acquisitions like PTC Thingworx (The Flash) or Cisco Jasper-Parstream (Spiderman) or Autodesk Fusion Connect (FireStorm).
c)The superhero whose power is made possible by technology like Oracle IoT (Iron Man) or SAP Leonardo(Green Lantern).
d)There is the superhero who doesn't have any superpowers but who is a superhero by extremely intensive training like Batman (Ayla Networks) or Black Widow (Exosite) or LogMeIn-Xively (Hawkeye)
e)The superhero who obtains his/her powers due to some supernatural event like Satya Nadella named new CEO for MSFT IoT Azure (Thor) or Telit DeviceWise (Dr. Manhattan) or Google acquisition of Nest (Hulk)
f)Finally, there is the superhero, usually a sentient android, who was created by a human like IBM Watson IoT (Vision) or a normal human playing with magic like Salesforce IoT Cloud Einstein (Dr Strange) or leader of a young team like Hitachi Data System(Most Excellent Superbat).
“Do you agree with my classification system for superheroes and superpowers?”
Although the number of superheroes and supervillains is enormous (more that the IoT Platforms Universe), it would take me a long time to assign each one of the IoT platform a single superhero or supervillain. Since I do not think many companies are willing to pay to know who represents them better, at least I have done a partial and fun exercise.
The Bottom Line
If you are an IoT Platform vendor, you could be doing yourself some questions right now:
- If I could be a Superhero what would it be?".
- Worth to acquire a Super Power or reach an upper level to convince customers I am their Superhero?
And remember …
“With power comes responsibility; with great power comes great responsibility”
Although the number of superheroes and supervillains is enormous (more than the IoT Platforms Universe), it would take me a long time to assign each one of the IoT platform a single superhero or supervillain. Since I do not think many companies are willing to pay to know who represents them better, at least I have done a partial and fun exercise.
Thanks for your Likes and Shares.
We have now entered an era with a new virtual revolution, particularly, the Internet of things (IoT). The virtual revolution marks the starting of information age. We use the Internet almost every day. The net has turned out to be one of established ways for us to work together, to share our lives with others, to shop, to teach, to research, and to learn. However the next wave of the Internet isn't about people. it's far about things, honestly?
All about IoT
IoT is defined as the network of physical objects that can be accessed through the Internet. These objects contain embedded various technology to interact with internal states or the external environment.
IoT is characterized as "the figuring frameworks of sensors and actuators associated by systems, where the processing frameworks can screen or deal with the status and actions of connected objects and machines, and the connected sensors can likewise screen the characteristic world, individuals, and creatures." The center of IoT is not just about interfacing things to the Internet. It is about how to generate and use the big data from the things to make new values for individuals, and about how we empower new trades of significant worth between them. In other words, when objects can sense and communicate, IoT has its knowledge to change how and where choices are made, and who makes them, and to pick up a superior esteem, solution or service.
Fundamental to the estimation of IoT is in actuality the Internet of smart things (smart IoT). Supported by intelligent optimization, smart IoT can increase productivity of work and enhance quality of lives for people. Let us take “cities” — the engines of global economic growth — as an example. Smart cities have the potential to dramatically improve the lives of everyone. In intelligent transportation systems (ITS), smart IoT can not only monitor the status of the transportation, but also optimize traffic signal controls to solve traffic congestion and provide the travelers with better routes and appropriate transportation information, etc. Combining IoT and machine learning (ML) can also make our roads safer. Profits by smart IoT have been shown also in health-care, logistics, environment, smart home, in the aspects of better quality, energy conservation, efficiency increase, and so on.
Smart IoT remains in its infancy now in terms of the technology development and the effect on our global economy system and our daily lives. Maximum IoT statistics aren't used presently within the era of big data. Maximum IoT has no intelligence inside the generation of artificial intelligence (AI). IoT which might be used these days are on the whole for anomaly detection and control, as opposed to optimization and prediction. Given the brilliant anticipated increase of the Internet over the following 10 years, it is considered one of vital challenges and possibilities for us to invent and practice in real-global programs on a way to make the IoT smarter to generate the greatest value.
A few weeks ago, when I returned from the MWC and I wrote about “The wandering souls Network”, I wondered if it would not have been better for my career if I had specialized in a very specific area instead of being a generalist. I think there are decisions in our life that in spite every of us can analyse many times, the final decision will be always the same, because each person is the way he is.
“I define myself today as “A Generalist specialized in Internet of Things (IoT)”
Although the rest of this article can possibly be applied to all White Collar professionals, I'm going to focus on how will affect your decision of being an IoT specialist or an IoT generalist in a futuristic world dominate maybe by Robots.
Defining IoT Generalist and IoT Specialist
Before start examining the pros and cons of becoming an IoT generalist or a IoT specialist in this competitive and unfair world, it’s important to understand the distinction of these two approaches and how they relate to our future career path.
The Merriam-Webster dictionary’s simple definition of a generalist states a generalist is “a person who knows something about a lot of subjects”. A specialist is defined as “a person who has special knowledge and skill relating to a particular job, area of study”.
An IoT Generalist is a professional that understand a bit of everything. The IoT Generalist can speak about new business models enabled by IoT, the value of ecosystems, all kind of networks connectivity, protocols, sensors, devices, Gateways, Architecture, Cloud Platforms, Edge Analytics or Predictive Maintenance. And of course, he must be up to date of standards and security. Such a professional should be able to present to C-Level but also to maintain an intelligent conversation with different technical people. A value added of an IoT Generalist is his/her social network reputation, industry expertise recognition and strategic relationship with IoT/IIOT vendors, Telcos, Analyst, System Integrators.
Being an IoT generalist also require a skill-set of project management, effective communication and good people skills.
Do you have anyone in mind?
An IoT Specialist is a professional that is a subject matter expert in at least one of the core IoT tracks. Since the IoT is very complex even though we try to simplify it with concepts such as IoT in a Box, an IoT Specialist should offer at least expertise in one of the following 6 distinct tracks:
- IoT Devices (IoT Hardware Engineer or IoT SW Embedded Engineer)
- IoT Connectivity (5G, LTE, NB-IOT, 3GLoRA, SigFox, WiFI, Bluetooth) (IoT Telco Engineer)
- IoT Platforms (IoT Architects)
- IoT Edge/Cloud Analytics (IoT Data Scientists)
- IoT Enterprise Integration (IoT Business Process)
- IoT Development and DevOps. Take a look “IoT Skills For Developers”
Do you have anyone in mind?
But possibly to survive the future era of robots, it may matter little to be an IoT Generalist or Specialist and you will need a mix of a (someone who starts out as a generalist, but also has in-depth knowledge over a particular area) or specializing-generalist (someone who is specialized in a particular field, but also has a broader understanding of other aspects of the business) as Lev Kaye, the founder and CEO of CredSpark, wrote.
Remember that moving between both extremes can be extremely difficult once a career path has been embarked upon, so the mix is always good to have. There is, of course, opportunity to move between general and special IoT roles. But the more experience a professional gain in one area or the other, the more difficult it becomes to make a transition, at least without suffering from a dramatic salary loss.
Advantages and Disadvantages of being an IoT Generalists vs an IoT Specialist
There are benefits and downsides to both career routes. In the following table I have included some upsides and downsides of becoming an IoT generalist versus becoming an IoT specialist.
“The good news is that IoT job market is likely going to require both”
Age does matter - Which path is right for you?
If you are at the start of your career, you are probably pondering which route you should take: IoT Generalist or IoT Specialist
When you start, selling yourself as an IoT generalist could be complicate to justify in a job interview, so will be better become a subject matter expert and then progressively move into a specializing-generalist
My Opinion: If you are under 30 you need to stay on top of your areas of IoT expertise and be willing to move when your expertise becomes a commodity or obsolete. This requires vigilance and the willingness to move with industry trends. You must be aware of disruptive trends in IoT technologies. Take into account that in the future, the IoT Specialists will be also under threat from software and robots.
But if you have already passed the barrier of 45 years and suddenly you want to use your background and experience to sell yourself as an IoT Generalist, remember that you have 6 months to demonstrate your added value (most of the time you will be required for selling) or you will be fired without any leniency.
My Opinion: As an IoT Generalist over 45 you will find harder and harder to get hired. You need to be creative and become at least in spirit an entrepreneur. You must continue creating your own brand and reputation and extending your network with key people in the industry. Opportunities for IoT Generalist will not be forever but they must fight project by project. It would not hurt to start specializing in any of the IoT tracks.
And Enterprise size matters too. What are you looking for?
Governments insist to sell us the importance of entrepreneurs for the well-being and sustainable development of countries and encourage us to create startups. Of course, there is no work for life except for Government employees. And it is known that the big multinationals are rewarded in stock market by the number of employees that are fired out each quarter.
Even so, startups are possibly the only way out for IoT Specialist under 25 or IoT Generalist over 45.
- · If you are an IoT Generalist over 45, find a job in IoT startups will be a chimera, except as Sales roles. Launching your own startup with other partners can be a better option.
- · If you are an IoT Specialist under 25 you can try to convince other colleagues to create a Startup and enter in the dynamic of find investors, win awards and pray for a stroke of luck. If you decide to work in an existing startup to get experience and you are not a Founder or Co-Founder, you must be prepared to be exploited, and then move to a Big company.
SMB (Small and Medium Enterprises)
IoT Generalists add value specially to medium to big international companies. Knowing the details about the complex ecosystem and can handle a vast array of technical concerns is becoming critical for SMBs. There is little need for IoT specialist as there are not enough technical needs in any one specific area to warrant a full-time staff member dedicating themselves to them.
This does not mean that if you are an IoT Specialist you should not try to work for a SMB. Other consideration like industry knowledge, proximity or quality of life will compensate the promises of more money and relevance in Big International companies.
- · IoT Generalist over 45 are typically more valued in smaller organizations. Small organizations typically cannot afford to hire a lot of IoT specialists. You will be more valued in smaller organizations who need their employees to wear a lot of hats. In a SMB the transition to a generalizing-specialist will be natural-
- · If you are an IoT Specialist under 25 and you do not pursue the fame of being a number in a Big international company, you can enjoy more in a SMB because you will have more probability to become more quickly a specializing-generalist.
Big International companies / Top IoT companies
Here we must separate into two types of companies: Top IoT companies including Big IT and OT vendors and End Customers.
There are many lists of Top IoT companies. Almost always these lists include the habitual suspects, and as usual they have notable absences and without forget that the ranks leave much to be desired. But at least such type of list provide the names of companies that either IoT Specialists of IoT Generalists should be searching for a job.
End Customer will need help from both IoT Generalist and IoT Specialist, the question is when and who are them?
- · The desire of an IoT Generalist over 45, that used to work on Big Companies, is return to a Top IoT Company or Big Enterprise. Although it would seem easy, it is by no means a road of roses. You must create your own strong personal brand and be a well-known and influencer of the industry.
- · If you are an IoT Specialist under 25 with experience in startups you will be hunted soon for one of IoT Top vendor. Do not let yourself be blinded by the name of the company, but the project and the future importance of IoT within it.
Looking beyond 2025, the begin of the era of robots
Not because I attend the MWC that specifically caused me to think back on the changes that will occur in the IoT job landscape, it was this conference in addition to the many other IoT events that I attended over the past years that make me think how IoT professionals will be living the strong gravitational rift as we approach to 2025 and beyond.
Unemployment is one of the main problems in today consumer owned society. The unemployment is especially cruel to young people in search of their first job. But also for those who have passed the barrier of 45 (IF $your age is >45 THEN "sorry you are overqualified”).
When I wrote “Your job will be in our special metal hands” I imagined a near future in which companies will use Recruitment Robots to search, identify, select and manage candidates and employees more efficiently. Although it is crucial you follow your heart and your passion when making the decision you should consider the requirements of future employers will be robots.
If today, what matters is knowing a little of everything in the Internet of Things, an IoT Generalist, cross-trained and energetic. Fast forward a few years, and the IoT profession will took a different turn. IoT Specialists must emerge, particularly in larger organizations. IoT Specialist should also be aware of the way IoT jobs will change. Several traditional IoT specialist jobs today will be facing the threat of automatization and will not have an easy time beyond 2025.
THE BOTTOM LINE
When deciding between IoT generalist and IoT specialist career paths, you need to carefully consider the type of person you are. Ultimately, the advantages and disadvantages of either path depend on your personality and drive. If you work hard towards achieving your career goals, you can do so as an IoT specialist and as an IoT generalist and remember you need to be passionate and your attitude will matter today and beyond 2025.
IoT Specialist or IoT Generalist? Choose your own destiny.
Thanks for your Comments and Likes
First of all, I will explain the reason for the post title. For those who have not seen the films, I summarize: "A group of four illusionists win year after year to the public with their incredible magic shows and even mocking the FBI.
GSMA is a great illusionist and MWC is their principal magic show. We are invited year after year to visit an event with unique keynote speakers, an enormous list of exhibitors, amazing performances and a great LinkedInplace where we can meet in person some of our social media contacts. What else can we ask for?
I know that it is very ruthless to compare the GSMA with illusionists and the MWC as their greatest magic show, but at least I see quite a few reasonable resemblances, you don´t.
My fears and my wishes for MWC17
If in 2015 I wrote " MWC 2015: Everything Connected, Tapas and Jamon", and I argued as one the reasons to attend MWC was the fact it was celebrated in Barcelona. In 2016, in my post “GSMA need to think how to reinvent MWC” I justify the reasons why the MWC needed to reinvent itself.
One thing has become clear to me after many years attending MWCs, this is the world's biggest phone and mobile networks show, with manufacturers set to unveil a raft of new phone handsets and new technology. However, the GSMA had insisted on introducing more and more distractions like Internet of Things (IoT), Connected Living, Connected Car, AR/ VR, Robots. Maybe the reason is because Telecom operators do not have the DNA to change. Still, many telecom operators take a dim view of some of the aggressive moves being made by these peers, especially when it comes to business models based on commercializing customer data.
“I expected to see less hype and a dose of common sense”
Starting by the announcement of Spain’s Telefonica to introduce a broad plan “4th Platform” to help both consumer and business customers keep greater control over their data rather than giving it away to web giants Google, Facebook and Amazon.
“I expected to see more applications where IoT will become a lot less exciting, but more useful and profitable. The real world.”
But I also feel like Scott Bicheno that “Mobile World Congress is disconnected from reality”.
The Top 5 tricks of illusionism this year
5G, Network Slicing and their associated Business Models
5G will undoubtedly be the next big thing in mobile wireless networks. For Niall Norton: fact, fiction, MWC – and strangers dancing in the dark, the most over-hyped technology or trend this year will be 5G in spite he thinks 5G is still miles away and therefore we have to wait for augmented reality, virtual reality, driverless cars and the like. It is a big ask for investors to keep piling money in.
For Phil Laidler, Network slicing is essentially an extension of policy control, virtualisation, NFV and SDN, and their orchestration; the move towards software-centric, flexible end-to-end networks. At MWC this year he is looking forward to seeing more "proof of concepts" for network-slicing and the associated business models, in addition to any insights into how slicing will work in practice.
Nokia’s big 5G announcement on ‘day 0’ of the event was overshadowed by a large consortium of operators and vendors calling for just the ‘new radio’ part of the 5G standard to be accelerated, despite the fact that it will lack the backhaul, cloud infrastructure, software platforms, etc needed to make the 5G dream viable. If anything highlights the wishful-thinking folly of much of the talk at this year’s show it’s that.
IoT has been a hot topic at MWC for the last few years, but, operators do not succeed with new business models beyond managed connectivity. Strategic alliances with IoT vendors has shown no results yet.
The battle between connectivity technologies remains fierce, cellular IoT Chip Battle Escalates at MWC ARM, Sequans and Altair to compete on NB-IoT solutions, but vendors and operators are now looking for more innovative ways to overcome the problem. This might just be the year of Low-Power Wide Area Networks (LPWAN). Although LoRa and Sigfox are currently dominant in the LPWA market, cellular IoT proponents had steal the show.
For example, Telefonica - who is working on NB-IoT with Huawei - recently announced a global partnership with Sigfox. In addition, Nokia launched its worldwide IoT network grid ('WING') a few weeks ago, which it describes as "a 'one-stop-shop', full service model offering seamless IoT connectivity across technologies and geographical borders."
For Operators, the real value from IoT will be created when they can start combining data sets from different areas and different connectivity technologies. For example, smart cities, healthcare or Food & Beverage, retail, transportation and logistics to improve the cold chain supply management processes.
I hope that at MWC18 we will be looking out for examples of operators and vendors developing IoT use-cases that do just that.
“The Internet of Things is in MWC to stay for a few more years, but If your focus is Internet of Things (IoT) then your money probably will have more ROI in other IoT events”
Blockchain has become one of the latest buzz words in telecoms, IT and IoT , thanks to a rapid increase in start-ups using it for new use-cases beyond its original application in financial services. Despite the excitement around blockchain the technology is still poorly understood by many, so operators need to explore the practical applications of blockchain and investigate whether developing these capabilities would be beneficial and understand what will be their role telcos in this field.
Machine learning, Artificial Intelligence (AI), Robots
Not many people in the Operators and in general in the Telco sector can explain what will be the practical potential of AI and machine learning in this sector. Other industry sectors are starting to apply machine learning models to their business. And as the technology and algorithms become more refined, early adopters expect to see huge cost savings. But at what cost?
I expect to see real use cases for AI, machine learning and Robots to make the eternal promise of Customer Experience happen.
Will Telcos someday use machine learning and AI to learn about customer’s habits so that their services and product features can emulate a human behaviour more accurately?. This is a huge opportunity for both vendors and operators.
The wandering souls network
The first time I visited MWC as CEO of OIES, that is to say, as an independent consultant, I feel like a walking dead. Without a clear agenda, without scheduled meetings. I walk through hundreds of exhibitor booths looking for friend’s faces that can spend a couple of minutes to tell them my history.
The Telco sector (Operators, Large Vendors) and the IT sector is being very cruel with employees over 45 years old. This year I have had the opportunity to spend some time with some of ex-colleagues, friends and also LinkedIn contacts that wanted to tell me their history and asked me for advice about the new “El Dorado world of IoT”.
There is a lot of talent out there. Do not exclude this extraordinary wandering network because you believe they are overqualified and you can not manage them.
See you next year at MWC18
I've been saying the same thing for years when I come exhausted from MWC “No more tricks, no more illusions, this has been my last year". But will be this time the real one. Do I need a sabbatical MWC?.
“Whether you passed 1 day, 3 days or a whole week of your life in the MWC17 illusionism, ask yourself: Was it worth it? “
Now you see me or not @MWC18.
Thanks for your Comments and Likes
It was a matter of time to end up writing an article to talk about the connection between Internet of Things (IoT) and the technology (arguably still in the infancy of its development) that may have the greatest power to transform our world, Blockchain.
In a future planet interconnected not just by devices, but by the events taking place across it, with billions of devices talking to one another in real time, the Internet of Things will require a secure and efficient way to track all interactions, transactions, and activities of every “thing” in the network.
Blockchain’s role could be a coordination layer across devices and the enabler of the IoT to securely facilitate interactions and transactions between devices, and may also support certain processes related to architecture scalability, data sharing, and advancements in encryption and private key technology, enhanced security, and potentially even privacy.
With blockchain, the Achilles’ heel of the IoT of heterogeneous OEM devices world now becomes viable. I wonder however, if is feasible that this decentralized IoT network may co-exist IoT sub-networks or centralized cloud based IoT models.
But let's face it, blockchain is still a nascent and controversial technology (experts estimate that it might take 5 -10 years for the mainstream adoption of blockchain technologies). Therefore, we must consider that blockchain’s applications within the Internet of Things is still a matter of conjecture and trial, and that it will take more time to determine whether and how blockchain might be implemented to secure IoT ecosystems.
What is Blockchain?
Blockchain, the technology that constitutes the backbone of the famous bitcoin, is a database that maintains a continuously growing set of data records. It is distributed in nature, meaning that there is no master computer holding the entire chain. Rather, the participating nodes have a copy of the chain. It’s also ever-growing — data records are only added to the chain.
A blockchain consists of two types of elements:
- Transactions are the actions created by the participants in the system.
- Blocks record these transactions and make sure they are in the correct sequence and have not been tampered with. Blocks also record a time stamp when the transactions were added.
If you want to know more about blockchain you can read:
Fascinating opportunities ahead with IoT and Blockchain
The possibilities of IoT are virtually countless, especially when the power of IoT is combined with that of other technologies, such as machine learning. But some major hurdles will surface as billions of smart devices will want to interact among themselves and with their owners.
While these challenges cannot be met with the current models that are supporting IoT communications, tech firms and researchers are hoping to deal with them through blockchain.
Applying the blockchain concept to the world of IoT offers fascinating possibilities. Is yet to be seen if blockchain is bound to expedite the revolution, simply by being the backbone for most of the future IoT systems.
An example - Right from the time a product completes final assembly, it can be registered by the manufacturer into a universal blockchain representing its beginning of life. Once sold, a dealer or end customer can register it to a regional blockchain (a community, city or state). But, this is only the beginning for the blockchain and Internet of Things (IoT). A washing machine could become a semi-autonomous device capable of managing its own consumables supply. It can perform self-service and maintenance, and even negotiating with other peer devices.
Challenges of Blockchain and IoT ecosystems
The chaotic growth of IoT will introduce several challenges, including identifying, connecting, securing, and managing so many devices. It will be very challenging for the current infrastructure and architecture underlying the Internet and online services to support huge IoT ecosystems of the future.
Forrester analyst Martha Bennett in the report “Disentangle Hype From Reality: Blockchain’s Potential For IoT Solutions“ defines three categories of challenges that Internet of Things and blockchain ecosystems participants must address: Technology, Operational challenges and Legal and compliance issues.
According with the report, the result of multiple surveys indicates that what the IoT requires more than any technological or architectural advancement is trust: trust between stakeholders and the devices interacting with them, their customers, or on their behalf.
“As technology and commercial firms look for ways to deploy and secure Internet of Things technologies at scale, blockchain has emerged as a clear favorite for managing issues like identity and transaction security”
Blockchain, a strategic ally to Democratize the IoT
The big advantage of blockchain is that it’s public, so there is no single authority that can approve the transactions or set specific rules to have transactions accepted. Thus, the primary utility the blockchain is a censorship resistant way to exchange value without intermediaries.
Will blockchain disrupt the disrupters?. In my post “Is it possible to democratize the Internet of Things? How to avoid that a handful of companies can dominate the IoT” I already suggested the use of blockchain to avoid that data-hungry businesses and governments collect data on the behaviour of people and the performance of objects. Blockchain could avoid that Multinational and governments deepening tracking and control of citizen behaviour and attitudes.
Are IoT Business Models at risks with Blockchain?
IoT Service Providers hope not. There is a risk that the combo of blockchain and the sharing economy trashes some new IoT business models. Same way that, successful or not as successful platform, companies like Uber and Airbnb, are worried today.
Just think, the success of these and some other platform companies is largely due to people trading assets they own and are paid for, but from which new value could be derived, And they release this value by using platforms to match up sellers of the extra capacity – whatever it may be – with buyers. Further, they collect data about transactions “for further commercial gain”.
Indeed, arguably many of new IoT companies’ main line of business will be data, but, what if blockchain enabled buyers and sellers to work peer-to-peer and cut out the middleman/data aggregator and seller? In that case the secure connectivity could be king not the data.
A question for IoT Platform vendors, if we have a secure, foolproof decentralized system, why do I need your IoT Platform if I and all the communities I belong to can do it for ourselves, without anybody collecting, analyzing and selling data about me?
The convergence of Blockchain and the Internet of Things closer
In my post “Will we be able to build the Internet of Things?” I warned about the Babel tower of Alliance & Consortiums in the Internet of Things.
A blockchain technology industry consortium is emerging from the meeting, New Horizons: Blockchain x IoT Summit, with the objective of defining the scope and implementation of a smart contracts protocol layer across several major blockchain systems.
In December 2016, representatives from a group of industry-leading startups and innovative Fortune 500 companies met in Berkeley, CA to discuss the challenges facing blockchain and IoT innovation and the potential for a collective effort to address them. The meeting was the first step towards a collaborative effort to explore and build a shared blockchain-based Internet of Things protocol. Participants in the discussions included blockchain companies Ambisafe, BitSE, Chronicled, ConsenSys, Distributed, Filament, Hashed Health, Ledger, Skuchain, and Slock.it, along with Fortune 500 corporations BNY Mellon, Bosch, Cisco, Gemalto, and Foxconn.
Who is using Blockchain in IoT
The IoT and blockchain combination is already gaining momentum, and is being endorsed by both startups and tech giants. Several companies are already putting blockchain to use to power IoT networks.
Filament, a startup that provides IoT hardware and software for industrial applications such as agriculture, manufacturing, and oil and gas industries. Filament’s wireless sensors, called Taps, create low-power autonomous mesh networks that enable enterprise companies to manage physical mining operations or water flows over agricultural fields without relying on centralized cloud alternatives. Device identification and intercommunication is secured by a bitcoin blockchain that holds the unique identity of each participating node in the network.
Telstra, Australian telecommunication giant Telstra is another company leveraging blockchain technology to secure smart home IoT ecosystems. Cryptographic hashes of device firmware are stored on a private blockchain to minimize verification time and obtain real-time tamper resistance and tamper detection. Since most smart home devices are controlled through mobile apps, Telstra further expands the model and adds user biometric information to the blockchain hashes in order to tie in user identity and prevent compromised mobile devices from taking over the network. This way, the blockchain will be able to verify both the identity of IoT devices and the identity of the people interacting with those devices.
IBM, allows to extend (private) blockchain into cognitive Internet of Things. To illustrate the benefits of blockchain and Internet of Things convergence, IBM gives the example of complex trade lanes and logistics whereby smart contracts can follow (and via blockchain technology register), everything that has happened to individual items and packages. The benefits: audit trails, accountability, new forms of contracts and speed, to name a few.
IBM and Samsung introduced their proof-of-concept system, ADEPT, which uses blockchain to support next-generation IoT ecosystems that will generate hundreds of billions of transactions per day.
Onename are creating the infrastructure for blockchain based identities that can be used for humans and machines. This means the blockchain can act like a phone book that lets machines find each other.
Tierion is being used to collect data from industrial medical devices to build a verifiable record of their usage and maintenance history. Tierion is thrilled to be the first partner to join Philips' Blockchain Lab. Together they are exploring how blockchain technology can be used in healthcare.
ConsenSys working with Innogy (a subsidiary of German utility RWE) are exploring how to enable an energy marketplace fed by distributed solar and other electricity-generating devices, which are run using a decentralized power grid.
21.co, Microsoft, Slock.it, and others are working directly with adopters in manufacturing, supply chain management, energy and utilities, agriculture, and construction; distributed ledgers may further automate, secure, and drive new services for these industries.
Blockchain is not the unique silver bullet for IoT security
Given the importance that Security has to fulfil the promise of the Internet of Things (IoT), I wrote “Do not stop asking for security in IoT” although I did not talk about how blockchain can help secure the Internet of Things. Now with this post, I hope I have corrected that gap.
The existing security technologies will play a role in mitigating IoT risks but they are not enough. Cryptographic algorithms used by blockchain technologies could perhaps be a silver bullet needed by the IoT industry to create a more resilient ecosystem for devices to run on and to make consumer data more private. But blockchain should not be viewed as the unique silver bullet to all IoT security issues considering that today’s blockchain space is even more nascent than the IoT.
Manufacturers, legislators, IoT hardware and software vendors, IoT Service Providers, System Integrators, analyst, and end users, must be aware of the IoT security challenges and focus on increase security efforts to reduce the risk inherent to the fragmented Internet of Things so among all we can accelerate adoption.
In the long term, we should keep dreaming in a fully decentralized and secure IoT using a standardized secure communication model. We must trust this dream will be possible, if worldwide, engineering talent, startups, large companies, and governments increase the investment in time, energy, and money to innovate in solutions that address the IoT’s and blockchain’s shared problems.
It's 2017 and IoT continues to be a buzz. Appearing more frequently in almost every news articles regarding technology trends, digital transformation and the next "industrial revolution". However, behind the seemingly robust industry boom, rates of IoT adoption across Southeast Asia seems to be at a more conservative level.
Enterprises and organisations are cautious of adopting IoT for various reasons, and it is important for solution providers to understand these gaps in order to address enterprises' challenges and bring IoT to a wider reach.
Arguably the second-most popular buzzword, security issues have been the top concerns of any digital, connected projects out there. 2016 was a "year of hack" around the world, from the (alleged) hacking of the US elections, US $81 million stolen from Bangladesh Bank, and hacking of airports and banks in Vietnam. All these issues raise the concern of the security of enterprises putting up sensitive information about their business in the cloud, where IoT devices without basic security functions can be hacked within minutes.
Ensuring cyber security is crucial for businesses when they decide whether or not to migrate into the cloud and rely on technologies for operations and sensitive information.
Cost is another big concern for enterprise IoT adoption, especially in the Small and Medium Enterprises (SMEs) in Southeast Asia. Many of the IoT product offerings currently pose a challenge for SMEs to adopt, especially when the benefits are usually seen in the long run rather than short-term. This is especially apparent in emerging economies like Myanmar, where despite the high potential for enterprise ICT/IoT adoption, the high cost of digital products still poses a challenge to the local companies, prompting them to either seek foreign investments, collaborate, or find localised products that are more affordable - prompting local system integrators and distributors to be active in helping to grow the local markets.
This also prompts another important issue of having a strategic planning when it comes to digitisation and using IoT, in order to cut upfront costs while still benefiting from the new technologies.
3. Sustainable investments & developments
As the IoT buzz continues to ride the waves of publicity, especially from big names like Hewlett Packard Enterprise, IBM, Oracle, Microsoft and Google, enterprises should avoid jumping on the bandwagon without understanding the actual benefits and what IoT can bring to the table. A Bain & Company survey found that 59% of global companies believe they lack the capabilities to generate meaningful business insights from data, while another survey had 85% of respondents saying that they will require substantial investments to update their existing data platform - which can be costly and time-consuming.
Understanding the challenges that the businesses and enterprises face will be crucial for solution providers to offer not only products for the sake of having products, but also be able to offer their clients advice on strategies and plans of how to apply IoT successfully and strategically - depending on each company's needs and requirements.
Businesses in Southeast Asia comprise of many young, robust and innovative enterprises hoping to use technologies to differentiate, expand and produce with high efficiency and productivity. Addressing the pain points and challenges of technologies will allow solution providers and businesses to have better understandings of each other, and help the Southeast Asian IoT market reach new heights.
What is the top challenge that your company is facing with regards to technologies/IoT adoption? Let me know in the comments section.
If you are interested in learning more about Southeast Asia's enterprise IoT markets and connect with businesses across the region about your solutions, drop me a note at [email protected] Looking forward to speaking with you!
The IoT market has changed in many ways throughout the years, and since it’s a growing industry, there’s an estimated 32.6% CAGR increase in the next five years.
As an industry predicted to spend trillions in solutions, IoT’s trends need to be carefully observed and examined in order for implications and applications to be future-proofed.
How do you go about doing this? By simply analyzing how IoT is being used, as well as identifying which sectors are showing potential growth. Right now, a lot of focus is given to consumer applications such as Amazon’s dash buttons and smart home appliances. However, there are many opportunities in remote IoT. This covers industries like industrial, transportation, healthcare, etc.
One challenge that needs to be dealt with is how connectivity is approached right now. As more IoT and M2M devices would be deployed in rural areas and places with limited connectivity, applications and machines would need an improved infrastructure in order to carry out their purpose in areas with little connectivity.
Additionally, the increase of transportation and emergency-related applications would require not only ways to deals with low connectivity but also call for a system that can access multiple networks depending on availability and location.
Another challenge is how current devices will handle the developments in IoT and M2M technologies in the next five years. The 2G sunset is just one-way communication companies are affecting the industry.
Don’t fret, though, as there are several ways to resolve this and many opportunities left to explore to get ready for IoT’s evolution in the coming years.
Want to learn more about the possibilities remote IoT connectivity presents and how you can prepare for them? Check out the following infographic from Communications Solutions Company, Podsystem, and start future-proofing your IoT and M2M applications.
A few years ago, the idea of a “Telco in a Box” was very usual among the Telecommunication industry. Basically, it was a pre-integrated, turnkey real-time billing and customer care solution that enabled communications service providers (CSPs) to accelerate their growth strategies and increase profitability.
Companies like Accenture, Oracle, Redknee or Tech Mahindra used this concept addressed to Mobile Virtual Network Operators or MVNOs, Tier 3 Operators and Tier 1 sub brands. The benefits of this solution were clear:
- A low-risk, quick to launch turnkey solution
- Go to market faster than competitors
It was a matter of time that this marketing slogan reached the Internet of Things (IoT). And so it has been, at the moment with little noise, but it is certain that we will see much more "IoT in a Box" in the next months.
What is IoT in a Box and What's in the box
Today we could say that IoT in a Box is:
- A pre-configured, fully integrated, enterprise-enabled IoT bundle optimized for IoT processing (Telco view)
- All the required building blocks to develop a wireless IoT system (IoT Vendor view)
In the first case, the IoT in a Box must include some of the following components depending of the application:
- · Hardware / Hardware as a Service
- · 1 o more battery powered modules with sensors for monitoring for instance temperature, humidity, geo-location, movement, vibration, battery level or signal strength
- · 1 or more Relay switch or actuators
- · 1 GSM chip (SIM) per module with a data plan
- · IoT gateway
- · Software / Software as a Service
- · Device management
- · Enterprise database with storage plan
- · Security Connectivity
- · Pre-configured dashboards
- · Pre-configured thresholds and alerts
- · Mobile app
- · Services / Services as a Service
- · Professional Services (optional)
- · Support (basic included, premium optional)
When you receive your IoT in a Box. All you must do is:
- charge your modules
- place them on (or in) things,
- login to your own org to name your modules, and then
- turn on your modules. As soon as you activate a module, it starts to send sensor data, and you can start monitoring your things in near-time - online or using the mobile app.
“The concept behind a basic “IoT in a box” is that It takes you less than 1 hour to set up your own IoT system.”
In the second case, the IoT in a Box must include a Development Kit and all required building blocks to develop a wireless IoT system. We will see some examples later.
What if I want to expand the capabilities of my IoT application?
Although IoT in a Box is aimed at solving a simple business need, in certain scenarios or industries it may be necessary to extend the capabilities included in the Box. In this regard, vendors must provide accessories, expansion modules, I/Os and peripherals, Multi-standard connectivity options and additional Pre-configured dashboards and alerts depending of the industry and application.
Selling IoT in a Box
When I wrote Welcome to the first “Selling IoT” Master Class!, I did not emphasize in selling IoT to Small and Medium Business (SMB) and Consumer market. Precisely, the main objective that vendors pursue with the “IoT in a box” is increase sales in SMB market. This is a huge market and vendors need a way to escalate by channel partners, but as I do not consider myself an expert selling to SMB, so I look forward for your advices.
Is IoT in a Box already in the market?
Due to confidentiality agreements, I cannot include info from different vendors that will be selling IoT in a Box very soon. But we can find already some examples of IoT in a Box in the market. See below some of them based on public information.
T- Mobile IoT in a Box - With the T-Mobile IoT Box, you can realize your individual M2M application without great effort. Connect your devices and sensors and transfer the obtained data to a cloud system via mobile radio. A data interface provides processing and integration information to other systems, websites, or apps. The T-Mobile IoT Box consists of a developer board with an integrated M2M SIM card, several inputs / outputs and Bluetooth smart interface, an online portal and a RESTful API.
T-Mobile US – IoT promotion for device makers - Building on its movement into the internet of things (IoT) market, T-Mobile US announced a new IoT-specific pricing model as part of a promotion that includes a free Cat1 LTE module along with data services.
T-Mobile US, SVP Doug Chartier said: “The wireless industry needs simpler options for IoT to take off, and that’s exactly what we’re delivering.”
Telia M2M in a Box - M2M technology easy and affordable for any business. Telia M2M in a Box gives you a set of hardware with sensors providing you with real time information about position, movement and climate, which you can monitor directly in the web portal. A versatile and user-friendly measurement tool to observe, monitor and protect your business remotely.
Capgemini IoT-in-a-Box is a rapid, low-cost, low-risk, method to pilot IoT strategy to test and define business cases and provides a pre-configured, enterprise-ready IoT system for monitoring up to 25 devices. It simplifies the task of aligning integrating and configuring all IoT components to provide rapid time to value.
IBM - The Intelligent Building – IoT Starter Kit (Enterprise Edition) is an out–of-the-box IoT solution for Intelligent Buildings. The kit provides seamless integration of the EnOcean Smart Gateway with the Watson IoT Platform.
Relayr- Relayr -Industrial Grade Starter Kit for IoT Acceleration powered by relayr, Intel, Dell and Bosch.
Microsoft – Solair IoT in a Box was an IoT plug&play kit to connect things, sensors, machines to a gateway and then, in a few clicks, instantly visualize data on the Solair application. After acquisition of Solair probably Microsoft had discontinued this offer.
Bosch - Bosch IoT Starter kits that come with pre-configured XDK devices + cloud connectivity. It is as out of the box as it could be!
HPE - HPE Uncorks IoT In A Box - Called (at least by Hewlett Packard Enterprise) the ‘industry’s first converged systems for the IoT’, the Edgeline EL1000 and Edgeline EL4000 systems ‘integrate data capture, control, compute and storage to deliver heavy-duty analytics and insights at the edge to enable real-time decision making.’
Electric Imp - IoT QuickStart by Electric Imp - Electric Imp’s IoT QuickStart Family is designed to help you cut the time to build, test and prototype complex IoT solutions all while maintaining industrial-strength security, scalability and control. Based on reference designs that Electric Imp experts have developed over the past five years, the IoT QuickStart Family appliances represent the most frequently requested secure connectivity and device prototype solutions, each delivered in a fraction of the time and cost required by custom-built solutions.
Creator Ci40 IoT Developer Kit - The Creator Ci40 board is a high-performance, low-power microcomputer that packs a cXT200 chip based on a subsystem optimized by us specifically for IoT applications. The cXT200 SoC includes a dual-core, dual-threaded MIPS CPU clocked at 550 MHz and an Ensigma connectivity engine that covers super-fast 802.11ac 2×2 MIMO Wi-Fi and low-power Bluetooth/Bluetooth low energy (Classic and Smart). See also: Imagination Launches ‘IoT In A Box’ Kickstarter - and Build a home IoT irrigation system with 'IoT-in-a-box' kit .
Nextcloud Box – a private cloud and IoT solution for home users – from Nextcloud, Canonical and WDLabs. Nextcloud Box makes hosting a personal cloud simple and cost effective whilst maintaining a secure private environment that can be expanded with additional features via apps. The Nextcloud Box consists of a hard drive and a case, complemented by a Raspberry Pi 2 or a similar credit-card sized computer. The pre-configured, easy-to-use platform handles file storage and syncing, communication and more, requires no maintenance and enables users to install more functionality through apps like Spreed, OpenHab and Collabora Online. The box offers 1TB of storage at the price point of Eur 70. For information on where to buy please visit nextcloud.com/box.
WIKON – My M2M BOX – Our special expertise lies in the compliance with industrial standards for our product developments and the development of powerful embedded hardware and software. Special developments for explosion zones, adverse environmental conditions, IP-68 standards and extended temperature ranges are frequently in demand.
Mobica collaborates with Advantech to develop a complete IoT Solution - Mobica, a Silver member of Oracle Partner Network (OPN) and global provider of a leading-edge software engineering, testing and consultancy services, developed a solution which aggregates data from a variety of sensors and sends it to the Oracle Internet of Things Cloud Service for analysis and integration. Mobica used an Advantech UTX-3115 IoT gateway and a M2.COM based WISE-1520 Low-Power Wi-Fi IoT node for sensor input.
The ThingBox Project - Use Internet of Things technologies without any technical knowledge and for free.
Eight best IoT starter kits: The best internet of things developer kits –
Imagination Meluncurkan kit IoT –“IoT http://misteriotcom/2015/11/24/imagination-meluncurkan-kit-iot-iot-in-a-box/
There are many IoT Vendors who offer Devices, IoT platform, Apps and Services bundled with the same purpose of IoT in a Box, democratize the IoT.
IoT in a Box and IoT Marketplaces
As we know “IoT is not only about connecting things, neither controlling things”, it is about the Things become more intelligent and therefore companies could offer new services under new business models. I believe that IoT marketplaces will play a key role in the evolution of IoT in a box. We have already some examples:
Libelium, the IoT Marketplace is a one stop click-and-buy online store. The company is helping frustrated companies with pre-integrated solutions from choosing the right hardware, cloud components to application.
Telus IoT Marketplace – Connect the things that matter to your business by leveraging connected devices provided by their partner network.
ThingWorks Marketplace – gives easy access to everything you need to build and run your ThingWorx based IoT application. All components listed on the ThingWorx Marketplace are customized, tested and guaranteed to work with the ThingWorx platform.
Intel IoT marketplace – Coming soon.
“IoT in a Box solutions that encompass infrastructure, networking, analytics, service enablement and monetization to connect devices, expose data, services and processes to applications, consumers and machines will be the foundation for IoT marketplaces”.
IoT Service in a Box, the logical evolution of IoT in a Box
I believe that the logical evolution of IoT in a Box will be IoT Service in a Box sold through IoT marketplaces. It is a matter of time that we will see:
- · Predictive Maintenance in a Box as a Service
- · Loss Prevention in a Box as a Service
- · Asset Location in a Box as a Service
- · Predictive Intrusion in a Box as a Service
- · Vending Machine Product Recommendation in a Box as a Service
- · Real time micro-Inventory in a Box as a Service
- · Customer Emotion in a Box as a Service
- · …… Your imagination is the limit
Note: this page contains paid content.
Please, subscribe to get an access.
Note: this page contains paid content.
Please, subscribe to get an access.