As the Global PM and CTO for Lumada, it's been a rewarding journey to create a portable Industrial #IoT platform that could run at the Edge on a factory floor, in a train, inside a data center or in any hyper-scale public cloud.
This composable platform (use just what you need for your specific use case) combined with our revolutionary Asset Avatars (Digital Twins) that bring Lumada to life, is the very definition of "Visionary." I also want to send a big congratulations to our Visionary friends at PTC (ThingWorx) and SAP (Leonardo).
Thanks to all the Hitachi collaborators, colleagues and friends I was lucky enough to take this journey with.
Get a free copy of the Gartner report here:
After years of evangelization waiting for the promises of the Internet of Things (IoT) to come true it seems that we are finally close to reaching the trough of disillusionment phase, we begin to forget all the hype generated so far and focus on reality. A harsh reality that involves selling IoT and not continue selling smoke anymore
THE TIME TO SELL IoT IS NOW
The sale of IoT is perhaps more complex than the sale of other disruptive technologies such as Big Data, Cloud or AI and maybe as complex as Blockchain today. In the article “ Welcome to the first “Selling IoT” Master Class!” I commented how it should be the evolution of M2M Vendors for sell IoT and how should be the evolution of IT Technology Vendors for sell IoT. However, many of these companies still have difficulty in forming and finding good sellers of IoT
The truth is that nowadays it does not make any sense to sell IoT as a technology. Enterprise buyers only want to buy solutions that provide measurable business outcomes while, in the other side, many IoT Vendors only want to sell their portfolio of products and services that have been categorized under the umbrella of IoT, either as quickly as possible or at the lowest possible cost.
During last 5 years, I have been analysing how IoT companies sell their products and services. Some of my customers (Start-ups, Device vendors, Telco Operators, Platform vendors, Distributors, Industry Applications, System Integrators) requested me to create IoT sales material to train their sales team about how to sell their IoT solutions and services. And sometimes I also helped Head Hunters or customers searching for IoT sales experts
Based on this varied experience I have launched this year a new service: “IoT Sales Workshops” to help companies train their internal teams in how to sell IoT. Here are some of the lessons I learned
- There is a time for act as an IoT Sales generalist and a time for act as an IoT Specialist.
- You need to adapt the IoT storytelling based on your audience.
- Being an IoT expert is not synonymous with being successful in selling IoT.
- You need to show how companies can get more out of IoT by solving a specific business problem.
- Make it easy for the customer to see the benefits of your IoT product or IoT service and what is the value you are adding.
- Given the complexity and specialization of IoT by vertical, explain companies the need to focus more closely at business cases, on their IoT business model as well as the ROI over three to four years before jumping into technology.
- You need to be patient because IoT selling is not easy and takes time align strategy and business needs with the IoT products and services you are selling.
- Build a strong ecosystem and make easy the customer the adoption of end to end IoT solution collaborating with your partners.
- Train your IoT Business and Technical experts to get better at telling stories. Design a new marketing and sales communications playbook. Keep it simple. Build your narrative from the foundation up – one idea at a time.
- If you want an IoT sales expert you need to pay for it (not expect miracles from external sales agents working on commission base).
- IoT Sales is a full-time job. You will not have time to other enterprise activities.
- Selling IoT to large enterprises is a teamwork process.
- Be Persistent. Do not expect big deals soon.
- Be Passionate, Be Ambitious, Be Disruptive to sell IoT.
I do not consider myself an IoT sales expert. And of course, neither a superman of sales. In fact, I have shied away from classifying myself in the role of a pure salesperson even though over time I have given a weight and value to this work that once seemed derogatory to me.
Sell IoT is not easy. In a few years we will have forgotten of the word IoT and we will be selling new hypes, but in the mean time you need to be prepared for disillusionment moments, long sales cycles and a lot of work with sometimes poor results. However, I do not know if will be 2020, suddenly if you persevere you probably will be awarded as the best IoT sales expert and you finally will earn a lot of money.
Be Persistent, Be Passionate, Be Ambitious, Be Disruptive to sell IoT
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IoT Evolution or IoT Revolution
During all these years evangelizing on the Internet of Things (IoT), I have been explaining to customers, partners and friends that IoT can positively change the way we do business and the way we live our lives. I have been asked if IoT is a new revolution in our society, or it is just one more step in the technological evolution of the he digital revolution. Today, the debate continues but whether evolution or revolution, The Internet of Things is here to stay.
If you have read AIG´s whitepaper entitled “Internet of Things: Evolution or Revolution?” you learned IoT, from its origins, to its applications in business, the risks associated with its inevitable arrival and how with the IoT is coming bringing dramatic changes. In the whitepaper we discover that in spite IoT is often presented as a revolution that is changing the face of society or the industry in a profound manner. It is an evolution that has its origins in technologies and functionalities developed by visionary automation suppliers more than 15 years ago
I definitely think it’s an evolution
The development of the Internet of Things is a bold move. IoT is not just a leap from the Internet. The Internet of Things brings with it an evolutionary force that we rarely see in technology.
It is important not scare the most conservative enterprises. It is not about ripping out current automation systems to replace them with new technologies. End users will resist rapid and radical change because of the increased risk of downtime and associated costs.
I think that this debate should be framed in a more general question. What Age period are we living?
The Connected Age or the Age of Sensorization
I consider the start of the Connected Age when the Internet of Things term was coined by Kevin Ashton executive director of the Auto-ID Center as the title of a presentation he made at Procter & Gamble (P&G) in 1999. Probably Kevin envisioned that the move to sensorization will transform every industry in the world. In the Age of Sensorization, it’s possible to make more accurate and quantifiable assessments using real time sensor based information.
The main driving force behind the Connected Age is data – data that can be collected, data that can be analysed, data can be shared and data can be used to improve many service offerings.
Data is the new oil in this AgeThe global sensorization is driving new ideas and thoughts that will ultimately drive innovation in our personal, business and working lives. Sensor´s data is opening up new opportunities, driving new business models and taking innovation to new levelsNo doubt that sensors’ data is a valuable commodity. The European Commission has proposed to impose a tax on the revenue of digital companies based on their users’ location, on the grounds that “a significant part of the value of a business is created where the users are based and data is collected and processed.”
We are still living in the Connected Age. I expect this Age ends in 2025, no because there will not be more things to connect but because is when most of things will become intelligent and start controlled by robotsThe Robotic Age or the Age of Artificial Intelligence
Reading Genesis of AI: The First Hype Cycle, I rediscovered how Artificial Intelligence (AI) was born and evotution till now. But it was after I read Your Data Is Crucial to a Robotic Age. Shouldn’t You Be Paid for It? I realised maybe I was wrong and we already living the final years of the Connected Age and we are entering before 2025 , not without a certain fear, the Robotic Age.
According to IDC: ”By 2019, 40% of digital transformation initiatives – and 100% of IoT initiatives – will be supported by AI capabilities.
Qualcomm envision a world where edge AI makes devices, machines, automobiles, and things much more intelligent, simplifying and enriching our daily lives.
AI has emerged as the most exciting capability in today’s technology landscape. It’s potential is rich in large, complex organizations that generate massive amounts of data that can be fed into AI systems.
Data is the crucial ingredient of the AI revolution. We can envision that AI -driven companies will represent the future of broader parts of the economy and we may be headed for a world where labor’s share falls dramatically from its current roughly 70 percent to something closer to 20 to 30. At the same time the number of robots will increase and be part of the society.
Robotics and Artificial Intelligence have reached a crucial point in their evolution. A robot is no longer just a mechanical device capable of interacting with its environment and carrying out an assigned task. At present, the main research laboratories all over the world are developing and implementing in sophisticated robots technical, practical and even philosophical tools. Nevertheless, we can not forget that there are still problems in the land of AI.
Companies need to move quickly to embrace AI so that they can support the burgeoning Internet of Things (IoT) and deliver the kinds of services customers are demanding.
Finally, if your company is thinking about Build or Buy Artificial Intelligence, take a look at this article.
The Cognitive Age
The cognitive revolution was a period during the 1950s-1960s when cognitive psychology replaced Behaviourism and Psychoanalysis as the main approach in psychological fields. Increasing focus was placed on observable behaviours in conjunction with brain activity and structureFor those of you who believe the mind the centre of all things, David Brooks, the New York Times columnist, wrote two editorials that point to wider transformations that are shaping the world in which we liveWe could consider the start of Cognitive Age when Facebook abandoned an experiment after two artificially intelligent programs appeared to be chatting to each other in a strange language only they understood. The two chatbots came to create their own changes to English that made it easier for them to work – but which remained mysterious to the human.
Are we sure Facebook shut down Its Artificial Intelligence Program? Facebook not the only company or government running secrete AI programs. Are you scaredThere are many myths about Cognitive. This article pusblished by Deloitte the Consulting company help dispel five of the most persistent myths.
- Myth 1: Cognitive is all about automation
- Myth 2: Cognitive kills jobs
- Myth 3: The financial benefits are still remote
- Myth 4: AI is overhyped and bound to disappoint
- Myth 5: Cognitive technology is just for ‘moonshots’
We need to start thinking how to prepare ourselves and our business for the Cognitive Age.” As I explain in “Bring Your Own Cyber Human (BYOCH) – Part 1: Augmented humans” we are in the path to being cyber humans. To live in the Cognitive Age, I encourage companies to invest in how to enhance our senses and to increase our intelligence to compete and win over robots.
The Connected Age is a fact. ARM is predicting 1 trillion IoT devices will be built until 2035. For those who think that the IoT is a revolution, not be worried because we are just simply in an evolutionary process.
With the introduction of AI and machine learning, enterprises will be able to embark on projects never thought possible before. The Robotics Age is going to be a great challenge for humanity. The fear of being inferior to our creation, not being able to control them, to compete with machines for a job, to have to obey them will really mean the beginning of a revolution.
What does AI mean for the future?. What will be the implications and the risks? Will AI really understand humans?. With the current skills humanity will be in inferiority to face the cognitive systems that will populate Cognitive Age. That is why I encourage governments, private laboratories and researchers to work on Augmented Humans projects if we do not want to be slaves to our uncontrolled inventions.
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What is a smart city? The answer depends on who you ask. Solutions providers will tell you it’s smart parking, smart lighting or anything to do with technology. City officials may tell you it’s about conducting city business online, such as searching records or applying for permits. City residents may tell you it’s the ease of getting around, or about crime reduction. Everyone is right. A smart city, built properly, will have different value for different stakeholders. They may not think of their city as a “smart”city. They know it only as a place they want to live in, work in, and be a part of. To build this type of city, you have to first build the smart city ecosystem.
A smart city is built on technology, but focused on outcomes
A scan of the various smart city definitions found that technology is a common element. For example, TechTarget defines a smart city as “a municipality that uses information and communication technologies to increase operational efficiency, share information with the public and improve both the quality of government services and citizen welfare”. The Institute of Electrical and Electronics Engineers (IEEE) envisions a smart city as one that brings together technology, government and society to enable the following characteristics: a smart economy, smart mobility, a smart environment, smart people, smart living, smart governance.
But what does a smart city really do? Our scan of smart city projects worldwide showed that initiatives fell into one or more smart city “outcomes” (Figure One).
As a starting point, we define a smart city is one that uses technology extensively to achieve key outcomes for its various stakeholders, including residents, businesses, municipal organizations and visitors.
The smart city ecosystem framework
Figure Two shows our framework for a smart city ecosystem. A vibrant and sustainable city is an ecosystem comprised of people, organizations and businesses, policies, laws and processes integrated together to create the desired outcomes shown in Figure One. This city is adaptive, responsive and always relevant to all those who live, work in and visit the city. A smart city integrates technology to accelerate, facilitate, and transform this ecosystem.
Four types of value creators
There are four types of value creators in the smart city ecosystem. They create and consume value around one of the outcomes listed in Figure One.
When people think of a smart city, they automatically think of services provided by municipal and quasi-government agencies, such as smart parking, smart water management, smart lighting, and so on. In fact, there are three other value providers and users that co-exist in the smart city – businesses and organizations, communities, and residents.
Businesses and organizations may create services that use and create information to create outcomes for its stakeholders. Some examples of “smart” businesses include Uber and Lyft for personal mobility, NextDoor for information sharing, and Waze/Google for traffic and commute planning.
Communities are miniature smart cities, but with very localized needs. Some examples of potential smart communities include university campuses, office parks, airports, cargo ports, multi-dwelling unit (MDU) or apartment complexes, housing developments/neighborhoods, business districts and even individual “smart” buildings. They have needs for smart services that may be tailored specifically for their stakeholders.
Residents or individual citizens are also smart services providers in the smart city. A resident living near a dangerous street intersection can point a camera at the intersection and stream that information live to traffic planners and police. Residents place air quality measurement sensors on their properties to monitor pollution and pollen levels during certain times of the year, and make that information available to other community members. Residents can choose to make these smart services temporary or permanent, and free or fee based.
The Smart City is built on layers
A smart city is an ecosystem comprised of multiple “capability layers”. While technology is a critical enabler, it is just one of many foundational capabilities that every smart city must have. No one capability is more important than the rest. Each capabilities plays a different role in the smart city. These capabilities must integrate and coordinate with each other to carry out its mission.
Value layer. This is the most visible layer for city residents, businesses, visitors, workers, students, tourists and others. This layer is the catalog of smart city services or “use cases”, centered around the outcomes (Figure One), and offered by value creators and consumed by the city stakeholders.
Innovation layer. To stay relevant, value creators in the smart city must continuously innovate and update its services for its stakeholders. Smart cities proactively facilitate this through a variety of innovation programs, including labs, innovation zones, training, ideation workshops, skills development and partnerships with universities and businesses.
Governance, management and operations layer. The smart city creates disruption and results in digital transformation of existing processes and services. Smart city management models must integrate a new ecosystem of value creators and innovators. They must plan, support and monetize new business models, processes and services. They must upgrade their existing infrastructure and management processes to support “smart” services. Finally, they must measure the performance of the city with a new set of metrics.
Policy, processes, and public-private partnerships, and financing layer. The smart city doesn’t just magically appear one day. An entirely new set of engagement models, rules, financing sources, and partners are required to build, operate and maintain the smart city. Cities must develop a new set of “smart” competencies in order to get and stay in the “smart city game”.
Information and data layer. The lifeblood of the smart city is information. The smart city must facilitate this in several ways, including open data initiatives, data marketplaces, analytics services, and monetization policies. Equally important, they must have programs that encourage data sharing and privacy policies to protect what and how data is gathered.
Connectivity, accessibility and security layer. People, things and systems are interconnected in the smart city. The ability to seamlessly connect all three, manage and verify who and what is connected and shared, while protecting the information and users is crucial. The highest priorities for smart cities are to provide a seamless layer of trusted connections.
Smart city technology infrastructure layer. Most people automatically think of technology when talking about smart cities. The smart city technology infrastructure must scale beyond the traditional municipal users and support a new class of value creators, and city/user stakeholders.
Leveraging the smart city ecosystem framework
The smart city is a complex ecosystem of people, processes, policies, technology and other enablers working together to deliver a set of outcomes. The smart city is not “owned” exclusively by the city. Other value creators are also involved, sometimes working in collaboration and sometimes by themselves. Successful and sustainable smart cities take a programmatic approach to engage its stakeholders across the ecosystem.
Our research has found that many cities are not taking an ecosystem approach to smart city projects. This is due in part to smart city projects being managed by the Information Technology (IT) organization where their charter is on systems development and deployment. In contrast, more experienced smart cities manage their smart city programs through internal cross functional “Transformation” or “Innovation” organizations.
Regardless of where cities are in their smart city journey, they must get ahead of the “curve” with smart city projects. They begin by thinking in terms of building the broader ecosystem in order to create a sustainable and scalable smart city. Key next steps include:
- Understand the smart city ecosystem framework and tailor it to the realities of their specific city. Incorporate this model into the development of their smart city vision, strategy and execution plans.
- Relative to the smart city ecosystem framework, identify current capabilities and gaps across the various layers. Understand what is needed to support the four types of value creators.
- Evaluate existing and new smart city projects and initiatives against the ecosystem framework. Use this framework to identify what is missing from the project plans and what is needed to make the projects fully successful.
- Prioritize and develop competencies across the various ecosystem layers. A smart city requires new skills and competencies. Augment existing capabilities through strategic partnerships and contracting with service providers, as required.
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.
This post was co-authored with Renil Paramel, an IoT Innovation Catalyst, Strategist and Senior Partner at Strategy of Things.
The rise of IoT is good because it has enabled humans to gather, process and understand vast sums of data. This understanding helps us observe the nature of Human existence in real time, both collectively and individually.
Supply chain management is an integral business process. It affects people in every industry from farmers in Food Supply Chain to manufacturers in Industrial Supply Chain. We are going to observe the up and coming technologies and how they are revolutionizing this fundamental business process.
How is IoT being used in today’s World?
The Understanding of Mass Human behavior at an individual level has enabled services and technologies to exist that cater to personalized needs.It is introducing a new genre of innovation in Mobile App Development.
Companies use this data to develop applications that can efficiently increase revenue by cutting liability costs because of Big Data Analytics and IoT prompting all investments.
Take for example the efficiency with which you can use GPS trackers and environment sensors to keep track of your inventory and the storing conditions of your goods. Asset Tracking has created transparency in the supply chain, providing manufacturers with scope for business customization.
The kind of granular data that can and is being generated using RFID tags and global SIMs can create efficient staffing practices. Also, addressing the availability of complementary resources at the right place and right time.
There is Beacon technology, which is Low Energy Bluetooth devices (BLE), capable of transmitting information over short distances. Bluetooth SIG (Bluetooth Special Interest Group) is pushing this wireless personal area network as a factory floor network.
BLE is being used to create an Internet of Things solution, for instance, take IoT Development companies that created apps that help in Airport Baggage Management all by using these BLE devices or Beacons.
Another great example can be that of Amazon Go. It uses computer vision, machine learning and AI to create a shopping experience where you can just walk in, pick up what you want and walk out.
You check into the store with your mobile Phone and through a technology they have developed called “Just Walk Out” you can shop and just leave. It is one of the best examples of an Internet of Things Company, using a variety of sensors and computer vision tracking working together over a secured shared network.
How is IoT affecting the Supply Chain Processes (SCP)?
Gartner the leading research and advisory organization, recently released a study, showing a thirty-fold increase in Internet-connected physical devices by 2020.
International Data Corporation (IDC) reports: Largest IoT segments in 2017: manufacturing operations: $105B
Just imagine the kind of data that will be generated when we could observe the real-time shopping habits of individuals, their waiting time in each aisle, their preference. And the rate at which products and services are sought will see an unprecedented rise.
We will be able to automate a system that will conduct targeted marketing and efficient manufacturing. Research shows three-quarters of all retail and manufacturing ventures beginning to transform their supply chain processes.
IoT is enabling a more bidirectional flow of communication. Now engineers can run efficient diagnostics using the most recent captured data enabling them to conduct remote repair, increasing machine uptime and better customer service.
Unlike previously available passive sensors, this generation of sensors can keep track of the state of products in shipment, such as external surrounding and execute actions. Also, it can monitor utilization of Machine and update cloud platforms that can, in turn, optimize performance and workflow.
IoT is playing an integral role in increasing the scope of digitizing the Supply Chain in the Agro-Industry. Modern farmers are now incorporating Cloud Platforms to keep track of their farm produce and fine-tuning storage conditions.
A much more inter communicative channel is being formed between the different talking heads of the Supply Chain. And the funny thing is IoT devices are guiding how the products reach the market and talking has nothing to do with it.
Industries are trying to create the process more transparent for the consumers, certifying quality checks and an invasive feedback process.
Fleet Management for industries that comprise of companies like FedEx and DHL. Driver headcount, maintenance, and fuel consumption can all be brought down using IoT cloud Platforms. These platforms take in enormous amounts of data about diverse variables like traffic models, weather reports etc. and chart out efficient routes and delivery itineraries.
Having a connecting channel among all the components of the supply chain enables vendors to form better relations amongst themselves and with the customers. This is done by linking the shipping companies to the on-ground delivery services to the shopkeeper, all in real time.
We generate a truly end to end offering by providing vendors with domain expertise in IP connectivity, cloud service, security, hardware, and positioning.
With the help of IoT, we can accurately forecast inventories; keep track of the expiry dates of products and restocking schedules. It can also be used for cutting on Downtime with smart sensors, which are assessing maintenance requirements around the clock, propagating positive revenue generation.
Fitting the factory floors and machinery with sensors helps the system to tail workflow efficiency and logistics short-comings and respective requirements.
The Industrial Internet of Things revolution is pushing entire businesses towards an approach of local connectivity. Many businesses are adopting tools like AT&T’s Low-Power Wide-Area Technology, which has smaller modules with extended battery life and capable connectivity even in underground environments.
This has also created a demand for developers who excel in creating IoT Applications. And lately, it seems IoT technology and software framework has become essential to the 21st-century consumer market at par with Big Data Analytics and Management.
IoT compatibility is the need of the hour for businesses that want to stay ahead of the curve.One should investigate functional ways to integrate IoT technology and Applications into their Business Back-End and generate new streams of revenue.
Also, existing Businesses need to acknowledge the potential of IoT to redesign existing SCP. Building strong bridges to support the convergence of physical and digital supply chain.
In today’s market, SCP isn’t just for tracking your product. It’s an opportunity to gain an edge over your competitors and even establish your own brand.
The Internet of Things is network connectivity between physical devices such as appliances, vehicles, etc. which contain inbuilt sensors, software, and microchips that facilitate data transfer between each other. Each device has its own unique computing processor which allows them to interoperate with other similar infrastructure via the internet. Things are always changing, we must accept the ebb and flow of things. The real question you should ask yourself is where you should concentrate your efforts in the next few years to avoid alienation. Our concerns over the past few years have changed drastically, in terms of the things we build and design and how the users interact with these devices.
The Shape of Future: The applications of the Internet of Things are extensive. The number of devices with the capability to link up with each other via the internet went up by 31% in 2017. Experts predict by 2020 the Internet of Things will have a total value of $1.7 trillion in the global market and a total of 30 billion new devices will be designed with network connectivity features.
Human intervention will reduce in the years to comes, some careers might become obsolete in a few years for example taxi and delivery packages, translators and interpreters, pilots and air traffic controllers and many more. IoT allows devices inclusive of all the computing enabled infrastructure can be remotely controlled therefore integrating the physical world with the computer system resulting in more economic benefits, efficiency, and accuracy.
Ensure you are always updated in terms of internet security. Constantly refine your security skills on how to maximize security on an ever-increasing number of connected devices. Try and run tests to ensure the security measures put in place can hold up when required.
The ability to come up with small accurate sensors e.g. sensors that can detect a change in temperature, speed, and other physical elements will be an invaluable skill in the future as far as the internet of things is concerned. Some sound knowledge of simple things such as Wi-Fi, Bluetooth, and transfer of data to the cloud will go a long way in safeguarding your career.
Don’t be daunted: Don’t stop what you are doing because humans will always need to interact with devices and machines to make them work. Rather than looking at Internet of Things as means of reducing jobs, look at it as a channel that could create even more job opportunities. Don’t be daunted, after all, you have come this far and along the way you have developed some useful skills. With a little effort, your Internet of Things career will thrive.
The Internet of Things (IoT) wasted no time spreading across the world and connecting a huge number of individuals. Apart from, we have seen almost every major industry put lots of resources into IoT, and foremost industries are rapidly moving to implement IoT solutions that drive the primary concern. Despite the huge gains in connectivity, the truth is, 2018 will be more of a steady growth period for the IoT. Using IoT, successful organizations will create a self-learning environment.
These five innovations will be the top IoT trends in 2018 and could be an essence of the world yet to come.
IoT future shaped by wearables
While 1 out of every 3 smartphone users trusts they will have at least 5 wearables by 2020. So, high demand towards wearable devices such as smartwatch, health & fitness band etc. In this manner, a setback in wearable adoption may delay the overall adoption of the IoT among consumers.
Roll out voice-based services to consumers
Google Assistant, Google Virtual Assistant that lives on devices like smart speakers and gaining enormous fame. An ever-increasing number of devices will open marketers’ eyes to better approaches for interacting with customers. Industries like financial and some other businesses that request authentication for much else, besides a simple task, will slack. The complexity, broadness and quality of voice-based services will grow in 2018 with accessible services.
Security is still the weak link in the internet of things, so security remains a prime challenge for IoT. Blockchain will play a vital role in improving security for financial transactions in 2018. Watson IoT Blockchain enables devices to participate in Blockchain transactions as a trusted party. IoT and Blockchain empower more transactions overall because they eliminate centralization.
Big Data, Machine learning and AI
The amount of processed data will grow, and due to more number of smart devices, we will use IoT much more than we do now. So, we should work with Big Data in order to consider assets that would empower us to process and analyse problems accurately. Here, Machine Learning is the most demonstrated AI innovation that can process data based on predictive analytics, without the need of manual programming and activate real-time tasks in the IoT channel.
Connected devices will double
In 2018, Internet of Things will have considerably more interconnected devices, like a digital nervous system with interfacing devices together and be exchanging data. It is not only laptops and mobile phones also there will be more smart devices that we use daily, like smart doors, smart jar, smart locks, smart fork and more. The number of connected devices grew exponentially from 4.9 million in 2015 to 6.1 billion in 2016. It is expected to 46 billion by 2021.
From smart devices and home automation systems to smart cars and smart buildings, the Internet of Things brings important innovations in our life. In the next years, IoT solutions will continue to take the center stage in the tech environment.
With huge investment in this technology, the global IoT spending is expected to reach $1.29 trillion by 2020 and $1.4 trillion by 2021 (IDC report).
For now, manufacturing industry is still the main investor in the Internet of Things. According to recent surveys, 66% of manufacturers say that the use of IoT solutions is essential for staying competitive and resolving various issues.
Capgemini research reported that smart factories are going to add $500 billion to $1.5 trillion in value added to the global economy in 5 years. By now, 56% of manufacturing companies have already invested $100M in smart factory initiatives.
Today the creation of smart factories with the Internet of Things is gaining momentum and so far, only 6% of manufacturers can be designated to “Digital Masters”, an advanced stage in digitizing various production operations with a strong foundation of smart management, process automation, and employee skills.
Analysts expect smart factories to revolutionize the industry by providing a 7X increase in overall productivity by 2022. Among the most interesting findings, Capgemini reports smart factories will be able to speed up on-time delivery of finished products by 13 times, with the enhancement of quality indicators at more than 12 times the rate of improvement since 1990.
Also, Capital Expense & inventory costs will be rationalized 12 times and material, logistics and transportation costs are predicted to be optimized at 11 times the rate of improvement since 1990.
On the graphic below you can see a comparison of manufacturer’s annual gains since 1990 versus expected annual gains referred to smart factory technologies in the next 5 years.
Besides the Internet of Things, contributing technologies to smart factories also involve Big Data Analytics, machine learning, advanced robotics, and 3D printing, while cloud computing platforms unify all of these technologies together, leading to more rapid smart factory adaptation and bringing revolution in the industry.
IoT use cases in manufacturing
With smart connections of multiple devices, equipment, and production processes, manufacturers get such benefits as minimized human intervention, remote machinery maintenance, employee safety, production automation, and reduced operational costs.
The main IoT applications include:
- Production flow monitoring - leads to flow optimization, minimize waste, and reduced labor and operational costs.
- Remote equipment monitoring & management - Results in saved energy and reduced costs. Predictive analytics allows repairs and replacements to be automatically ordered even before something breaks.
- Condition-based maintenance notifications - enables to successfully maintain machinery health and increase throughput.
Supply chain management -with the help of vehicle and asset tracking, you improve the efficiency of manufacturing and supply chain operations.
There is a plenty of other successful IoT use cases in manufacturing: equipment predictive maintenance, vehicle and asset tracking, temperature/energy conservation/air quality control, facility management, smart ventilation, production flow monitoring, and smart radiation monitoring and measurement.
By integrating a smart factory initiative, you can connect all production stages, accelerate production, enhance various management processes, ensure working safety, reduce operational costs, and improve the entire company performance.
In spite the Internet of Things term was coined by Kevin Ashton executive director of the Auto-ID Center as the title of a presentation he made at Procter & Gamble (P&G) in 1999, it was only when companies like Pachube (an early leader in the burgeoning “Internet of things” field) launched a web service that enabled to store, share & discover real time sensor, energy and environment data from objects & devices around the world, when most of us believed that the time to IoT was finally had arrived.
Since its founding in 2008, Pachube pretended to be the leading open development platform for the Internet of Things. In 2011 when the company was acquired by Woburn, Massachusetts-based LogMeIn in a deal that was worth "approximately $15 million in cash that re-branded the service as Cosm, but it was still a “beta” test version, to finally launch Xively that become a division of LogMeIn. LogMeIn did not want or did not know how to incorporate the potential of Xively into its business. And in 2017 again Xively lost its charm.
Google the White Knight of Xively
On February 15, we wake up with the new that Google will acquire IoT platform Xively from LogMeIn for $50 million, according to Bloomberg, to expand in market for connected devices. Google has been the White Knight of Xively.
Another White Knights
In February 2016, Cisco Acquired Jasper Technologies for $1.4 Billion in cash. How wonderful White Knight.
In 2016, Microsoft did not disclose the sum for Italian start-up Solair acquisition. Th startup expanded Azure capabilities.
In March 2015, Amazon was taking another step into the Internet of Things acquiring 2lemetry, a startup with a system for sending, receiving, and analyzing data from Internet-connected devices. 2lemetry had raised at least $9 million. Investors included Salesforce Ventures.
We all know that the IoT Platform market need a quick consolidation
The M2M/IOT Platform market has changed in the last 10 years. The fragmentation is unsustainable and I can say that I do not see a clear IoT platform market leader yet that works as a plug-and-play fix for all kind of connected-device creators. Besides, the rush of investors for IoT platform companies trigger rumors of new acquisitions increasing significantly their actual valuation and encourages thousands of entrepreneurs and startups to create new IoT platform copies of each other. Although there is still room for new innovative IoT platform startups, the decision to trust in a company able to simplify the complexities of the IoT, with a scalable and robust infrastructure and drive real results for your business, will reduce the choice among a short list. The bad news is that the hundreds of IoT platforms startups must compete now with the platforms offered by Tech and Industrial Giant vendors.
Given the confusion that exists about the IoT platforms, companies need to approach experts’ advisors that will recommend which platform(s) is most suitable for your current and future business and technical requirements.
There will not be White Knights for everyone
In “Be careful of the Walking Dead of IoT, I alerted that in spite that no one has the crystal ball, it is almost sure that many IoT platforms are not going to continue within 10 years, not even within 1, 2 or 3 years in this inflated market. As show in the picture below, some Tech Giants have been looking and found some of the best pieces. What will happen to the 700+ platforms out there? There will not be White Knights for everyone. At least for Xively it has been a happy end.
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Within the few months of its release, Internet of Things (IoT) has taken everyone by storm in numerous ways. As a result, more and more organizations, industries, and technologists catch the IoT bug. Right from Data streaming to data collection, events, decisions, processes, messaging, and integration, everything is involved in the form of developer’s activities. Now, do you think that IoT is just another opportunity for vendors to sell or update developer tools? Well, according to several resources nearly 40 billion which is approximately 30 devices for each and every active social network user in the world. In addition to this, trillions of sensors will comprise the IoT.
What is Internet of Things?
It is the network of physical objects, whether in terms of devices, vehicles, buildings or even humans, which are embedded with electronics, sensors, and software and network connectivity. And of course, these devices help us to send, transfer and collect important data anywhere and at any point in time. I strongly feel that the technology, in particular, has turned out to be a growing sensation that’s captured everyone in the technology world. And it is assumed that companies, as well as individuals, are investing $6 trillion in IoT devices within the next five years.
Bringing IoT to Developing Countries
Now you must be thinking that getting IoT technology to developing countries might be a major problem but in the actual scenario, there’s already a standard infrastructure in many countries. I am sure that you must be well aware regarding the fact that 95% of the world has basic 2G phone coverage, and while 29% of those in rural areas have 3G coverage, 89 percent who reside in urban areas are able to access 3G coverage with ease.
In addition to this, IoT is affordable with some saying that the IoT at its basic capability is already in place in developing countries, where citizens and government officials would bear little cost in tweaking it. Last but certainly not the least, IoT devices have a “plug-and-play” attribute to them, that doesn’t require proper setup from skilled laborer. This allows scalability within the devices. After all, technology grows only at the speed the city or the country wants to it.
What kind of Industries is gaining benefit from IoT?
With the increase in technology, more and more web development firms are establishing across the globe providing full-fledged IoT services among numerous industry verticals such as:
It seems like almost every year, there is an extreme health crisis in a developing nation. But what if that could be prevented? Wearable tech devices called “Sensor, technology, and analytics to monitor, predict and protect Ebola patients” are scaled and shipped to international aid offices worldwide. Such kind of devices collect all data regarding the patient, i.e. from body temperature to oxygen saturation. And once the data is complete, doctors can ship it to a central location, where people can track patient’s health over time.
In short, tracking a group of people or a city as a whole can help with disease containment as well as migrant population tracking. Over time these sensors can help predict where an outbreak is going to spread, allowing enough aid workers to get to the infected area before it's too late.
Do you know that billions of people in developing countries are going through their day-to-day lives drinking unsafe water? IoT cannot just help in monitoring both water quality, and water delivery but also alert municipalities when a water pump breaks, allowing for a quicker replacement time to ensure that an area's citizens are still getting enough, and quality water.
I am sure you must be well aware regarding the fact that there are many countries in the developing world that are still agriculturally based, where plenty of people still prefer working out in the fields. Here’s a good news for these people, around 75 million IoT devices will be agriculture-related by 2020.
Which means with the help of such devices, farmers can easily place them in soil to track acidity levels, as well as temperature, and crop growth so they can create a successful harvest.
Cities like India, Pakistan, Bangladesh, Sub-Saharan Africa and other parts of the world are some of the densest cities in terms of population. IoT devices can help with the traffic flow, by regulating lights based on the number of vehicles on the road, sensors placed in homes can help warn residents of impending disasters like fast-moving fires, mudslides, or other disasters, helping to save lives, as well as personal property.
One of my LinkedIn contacts suggested me last year not to write more articles about MWC event. However, a couple of weeks ago talking with another contact that not attend this year told me he was expecting my article. So here it is, my fourth MWC article in a row since 2015. Am I a MWC addictYou can read previous articles here:
- 2015 - MWC 2015: Everything Connected, Tapas and Jamon
- 2016 - “GSMA need to think how to reinvent MWC”
- 2017- “MWC- The Great Illusionists Show!”
Unfortunately, the Powerful GSMA rejected my ticket request as Analyst / Press (LinkedIn please help me next year) and of course I did not pay the prohibitive prices of Silver Pass, Gold Pass and Platinum Pass. At the end, conference sessions content is very generic and I can read free the content. I cannot justify the ROI for pay these tickets. Can you?
Avoiding the politics issues between Catalonia and Spain, it was the first MWC where the snow was probably the biggest surprise of the show. The snow and the rain did not allowed visitors to spend some time outside.
A painI do not know the final numbers, but I notice this year less attendants than 2017. No doubt GSMA will try to find excuses eg, political issues, but the reality is that the cost of the show do not convince to many usual large / medium / small companies. It is a fact that some big companies did not attend or send less delegates and use less square meters
Again, visitors that attend 1 or 2 days do not have had time to move to other parallel events like 4YFN. Running from meeting to meeting, bad lunch as usual. I'm sure I've lost weight these days
The MWC18 has been an evolution of what we saw last 2 years. Not revolution. We need to wait another 5 years to see some notorious technological advances although GSMA should continue helping to create a better future
I was angry with the Search exhibitor page of the web . Please GSMA you have 1 year to improve. None exhibitor has included any product in the category of Blockchain or Internet of Things. Duplicates filters, etc. I read some LinkedIn post and articles and talked with people to plan my visit and capture their feeling this year.
- Dean Bubley posted a few days ago “7 reasons he will not go to MWC anymore”. For him, MWC is not productive, informative or fun.
- Matt Hatton, VP Research at Garner make Predictions for MWC this year: - Inappropriate use of blockchain - Inappropriate description of things as AI - Inappropriate use cases for 5G - Better focus on go-to-market for IoT - More apparent rigor applied to the whole POC process - Better specialization (rather than trying to sell "end-to-end IoT") So essentially my expectation is that vendors of all shapes and sizes are looking better on commercial than technological issues. In sharp contrast with previous years. Funny old world.
- Part I covered Analytics, AI, new radio and antennas, Part II NFV, cloud and open source news, plus the 5G delulge. and part III, The third part takes a close look at the network edge, looking at some major industry moves and at the MEC demos.
- Blockchain Makes an Appearance at Mobile World Congress 2018 - 5G will be less sizzle, more substance at MWC
- MWC is exploring Dubai or Paris as alternative to Barcelona. But, the big operators are committed to the defense of Barcelona as the headquarters of the Mobile: "It is the best place in the world".
- Ericsson launches marketplace to unlock the cellular IoT ecosystem
- IoT: Sensor-as-a-service, run by blockchain, is coming - Nokia is launching a blockchain-driven Internet of Things (IoT) sensor network for its telco equipment users to sell on.
- Que es y que no es Aura
During the #MWC18
- MWC Day 0 – Halcyon days.
- Four Highlights from MWC2018 by Nick Hum
- MWC18 Highlights Mobile World Live
- MWC 2018 – who are we trying to convince? – Share with me the idea that Mobile World Congress can feel like a geeky take on Groundhog Day.
- MWC 2018 – Reflections From An Airplane by Ingrid Wistrand, Deputy CEO of Tele2 IoT.
- Mercedes-Benz at the Mobile World Congress 2018: Focus on artificial intelligence
- Here the MWC18 Week in review
The euphoria of 5G has dropped – More info about 5G at MWC18 here “ Intel, Qualcomm Talk About Accelerating 5G Efforts at MWC 2018”
IoT - The word that describes my feeling is disappointment. Although expected, something sad because the word IoT begins to lose brightness and disappear from the stands. The Pavillion 8.0 dedicated to the IoT, was not star this year. Do you really deserve to be exhibitors at the MWC
At least it was good to pulse the evolution and transformation of the IoT / M2M market. A new impulse will be necessary before 2020
Unfortunately, I could not attend any of the Top 7 IoT Activities at Mobile World Congress. Please tell me if any of it was worth it.
It was funny to hear how Operators trying to explain the use cases of Blockchain in Telco sector.
Artificial Intelligence, Connected Vehicles and Robots the starts of MWC18. It was interesting discuss with some Operators about the practical potential of Machine learning, Artificial Intelligence (AI), Robots in this sector. The conclusion in this article “ You Can't Teach an AI to Run a Telecom Network—Yet.
MWC18 was in my opinion the year of the Connected Intelligent Vehicle. Operators, Technology Vendors and Car Manufacturers need to cooperate to avoid a technology nightmare for future drivers/passengers.
I cannot resist to compare this congress with the Groundhog Day festivities. I make no secret of my discomfort for the continuous decisions of GSMA to make this show useless for many. My unpleasantness for the prohibitive cost of the tickets, hotels in the town, and the arrogant executives who attend the event as movie stars and finally for the many parallel events that I have missed or meetings of 15 minutes because I had spent hours daily walking by the walk sides of Fira Halls and my frustration for not finding some companies in the labyrinth of the pavilions
Like Bill Murray in the movie, I discover year after year that MWC's events repeating almost exactly. I feel I am trapped in a time loop that probably most of you are aware of
I am glad if you have spent these days indulging in night parties, looking for new jobs or cheering you for the work you have in your great company. Luckily for me, I do not return depressed, but my mind do not escape for some days to the MWC loop. Am I a MWC addict?
See you next year at MWC19 Barcelona
Thanks for your Comments and Likes
The Internet of Things (IoT) enables vendors to create an entirely new line of “smart” solutions for its existing and new markets. While the decision to go “smart” is straightforward, the decision of how to do so is not. Vendors are faced with a “build, buy, partner” decision – build it themselves, buy or license it from someone, or partner with a complementary solution provider and go to market together. This article discusses some of the key considerations product managers and executives must study in order to make the most appropriate decision.
“Build, buy, partner” is a strategic decision
For many vendors, IoT means adding a technology layer to products that never had any before. Even for tech savvy vendors, IoT presents a whole new set of technologies that they are less familiar with. Equally important, IoT is not just technology, but includes data, security, user experience, and business/business model elements. Figure One shows an IoT product management framework developed by Daniel Elizalde of TechProductManagement. A company going “smart” has a lot of decisions to make, of which technology is just one component.
Figure One. IoT Product Management Stack.
The framework shows that the “build, buy, partner” decision is multi-dimensional. There are six decision areas, spread across components from the edge to the user applications. Each represents a different “build, buy, partner” decision point, and each takes the company down a different path. In today’s fragmented and dynamic IoT ecosystem, many companies will need to “build, buy, partner” simultaneously. For example, cybersecurity is a specialized field that many vendors cannot address on their own, and must buy or license for their solution. The actual proportion of “build, buy, partner” each vendor does varies based on their specific situations.
The company creates the solution themselves with the resources they own, control or contract to. Companies who choose this option, but have limited internal expertise may contract with Original Design Manufacturers (ODM). These ODMs provide a portfolio of services, from design, prototyping, test, certification, to manufacturing.
The “Build” option enables full management oversight of the development process, the solution functionality and the intellectual property. Conversely, this option may result in a longer time to market, and require additional capital and resources beyond what is scoped.
Companies consider this approach when:
- They have the requisite skill sets and resources to do it
- They can do it faster, cheaper and at lower risk
- This is a strategic competence they own or want to own
- There is strategic knowledge or critical intellectual property to protect
- They are fully committed throughout the company
The company procures all or part of the solution components from a 3rd party. This includes licensing technology and services. Companies may also acquire technology through mergers and acquisitions, as well as buying the rights to technology from companies willing to part with it. This option eliminates “reinventing the wheel”, enables faster time to market, maximizes resource efficiency with limited execution risk. One common variant of this approach is to buy technology platform from a vendor, and then build their specific solution components on top of that.
The downsides of the “Buy” option include a loss of control in the development process, and limited agility to respond in a timely manner to changes in the market and customer needs.
Companies consider this approach when:
- They don’t have the skills or resources to build, maintain and support it
- There is some or all of a solution in the marketplace and no need to “reinvent the wheel”
- Someone can do it faster, better and cheaper than they can
- They want to focus their limited resources in other areas that make more sense
- Time is critical and they want to get to market faster
- There is a solution in the market place that gives you mostly what you want.
The company allies itself with a complementary solution or service provider to integrate and offer a joint solution. This option enables both companies to enter a market neither can alone, access to specialized knowledge neither has, and a faster time to market. This option adds additional management and solution integration complexity. For some companies, reliance on partners for some aspects of the solution may be uncomfortable due to a limited loss of control.
Companies consider this approach when:
- Neither party has the full offering to get to market on their own.
- Each party brings specialized knowledge or capabilities, including technology, market access, and credibility.
- It lowers the cost, time and risk to pursue new opportunities
Management considerations for “build, buy, partner”
Before the company chooses a path to go “smart”, executives and managers must base their decision along three “build, buy, partner” dimensions – execution, strategy, and transformation.
The first dimension focuses on the company’s ability to execute successfully. Managers must audit and assess their capabilities and resources to answer the following questions:
- Do I have the necessary skills in-house to successfully develop, test, support and operate an IoT enabled “smart” solution and business (Figure One)?
- Do I have the right human, capital, financial, and management resources to do this? Is this the best use of my resources relative to other initiatives and projects?
- What am I willing to commit, sacrifice and re-prioritize to see this through? Am I willing to redeploy top management and company resources? How long am I willing to do this?
- How much budget and resources am I willing to commit?
- Is there anyone that can do it better than me? Does it make sense for me to do it? What am I willing to do and not do?
- What infrastructure (processes, policies, systems) do I have, or need to build, maintain, support and operate these new solutions?
The second dimension relates to the company’s current and future strategic needs. These are company specific as it relates to its current situation, its customer and channel, and its position within the industry. Key considerations to be addressed include:
- How does going “smart” align with the company’s vision and strategy? Which parts align and which doesn’t? Does the vision and strategy need to be updated to reflect the realities of going “smart”?
- How important is time to market? Do I need or want to be a first mover? How long will it take to execute with the resources that I have?
- Am I trying to reach existing or new markets with IoT? Do I understand their needs well enough that I can execute on meeting it?
- Do I have any critical proprietary technology, processes, and other intellectual property that I need to protect?
- What are the risks? How much risk am I willing to tolerate? What are the costs of those risks? How much risk can I mitigate with my current capabilities?
- How much control do I want or need to go “smart”? What areas do I want to control myself and how? Can I afford to control those areas?
- What is your real value to customers and your channel? Why do they buy from you, and why do they come back? What do you do well?
The third dimension is the company’s ability to manage transformation. Going “smart” doesn’t stop with the IoT technology. The entire organization, its operations, policies, systems and business models must transform to support and operate the “smart” business. Furthermore, resellers and service channels, and suppliers and partners, are also impacted.
- What is your corporate culture and how well does it support change? Do you have the right people to manage and sustain this change? Are you nimble and agile?
- What degree of disruption will there be to internal processes, channels, organization readiness, and business models? How agile are your current capabilities?
- How prepared are you to operate a “smart” business? Do you have the skills and infrastructure required? Can you support a recurring revenue business model? How willing are you to invest in order to develop and sustain these capabilities?
What should you do next?
Each company is unique, and its situation will dictate its response to these dimensions. There is no one “right” universal answer to the “build, buy, partner” decision. Equally important, what’s right today, may not be right tomorrow. Companies that want to go “smart” start by looking inward first and doing the following:
- Establish a current baseline. Audit and catalog current and planned offerings, strategy, human resources and skill sets, channel and suppliers, internal operations and policies, and culture.
- Evaluate the IoT product management stack (Figure One) against your baseline using the three “smart” dimensions. The list of questions listed are starter questions, but answering those will lead to more questions to be addressed.
- Evaluate and assess your company’s future state capabilities against the baseline using the three “smart” dimensions. Understand where the gaps are, and the extent of those gaps.
- Identify your risk tolerance level. Going “smart” is not without risk, especially if you have never done it before. The key is to identify what and how much risk you are willing to take. Once you do so, you can develop a risk management plan and incorporate the appropriate tactics to manage it.
- Update your business vision and strategy as applicable.
- Develop your “build, buy, partner” decision and strategy. This strategy must align to the broader business vision and strategy.
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.
With so many companies and people on the search for the "IoT killer app” for a decade, and nobody has found it yet ☹. You can be sure that I do not either, otherwise I would not be writing this article and I will be furiously developing it.
Most companies are anxiously looking for the killer IoT app/solution, which their IoT reps could sell in volume to their enterprise customers. The bad news for them: “ there’s no true “killer app” for IoT and that any company can create the right killer app to solves a business need of a customer or a whole industry.
Nevertheles we can not avoid that some people think pet care or fitness could be the "killer app" for IoT, while others instead think that the killer IoT app winners will be in Verticals like predictive maintenance in manufacturing, smart home or smart city solutions and also I had read funny opinions that considers measuring Temperature and Humidity seem the killer application for most of the IoT industry. The comment is comical but at the same time ironic. In the absence of bright or innovative ideas it seems that we would have discovered the fire when we install sensors and we are able to visualize temperature and humidity in real time on the screen of our smartphone.
Instead of continuing to dream of finding the Holy Grail of the IoT, I think it will be more productive to analyse by categories what are the possible IoT applications that exist and if I am enlightened try to guess which application would be the milk to launch myself to develop it without fearThese are the 5 categories to search for the IoT horizontal Killer app:
Search for the killer IoT horizontal application is a chimera given the definition of the IoT. However, the challenges that the IoT has to achieve that 50 billion machines can be found, communicate safely through various networks, socialize and favour the monetization of its services, open great opportunities for hardware and software engineers to develop different killer applications. And I'm sure some will find it. I wish I could be part of one of them.
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“I talk to a dozen or more companies involved in IoT every week. One thing they all have in common is their desire for the projected IoT volumes and revenues to come to fruition...the sooner the better”.
Analyst at Moor Insights & Strategy covering the Internet of Things, Forbes.
Internet of things has always been functioning in a context of business transformation.
If you’re in business, just read on, as we are to have several working IIoT solutions to consider right now.
To be successful today you need to:
- really love what you do;
- move with the times;
- make the IIoT technology a part of your business development plan;
- and find an Industrial IoT company for you to cooperate with.
Here I gathered 5 IIoT solutions implemented by global industry leaders and the key examples of their efficient cooperation with IoT developers:
#1 Predictive Maintenance for Wind Energy
The IIoT solution is projected to be implemented into the maintenance of wind energy. The smart wind turbines will be applied to reveal how employees can get additional insights by using ML about the equipment performance in different conditions. Thus, smart sensors are supposed to give the information in a real-life regime.
The system can give reliable statistics for the future planning and help to replace vital parts of the engines during the less windy periods:
#2 Health Detectors for Caterpillar Equipments
Recently, the American machinery and equipment giant, Caterpillar implemented a new IIoT solution to help its customers better understand the workability and health of the equipment. It should also be said that the company uses IoT solutions for tracking fuel efficiency, idle times, location, and many more. The new project lets clients directly address the company maintenance service and timely repair the sensitive spots by using the IoT platform.
The end-to-end platform for predictive diagnostics allows for better monitoring and timely replacement of the interchangeable parts. The Caterpillar CEO, Doug Oberhelman supposes the IIoT, which is primarily applied to the fleet and fuel monitoring, will take the clients offering to the next level.
#3 Airbus Smart Manufacturing
You know the biggest European aircraft manufacturer has already applied the IoT solutions to its products. Today Airbus is working at implementing the IIoT to the tools its workers use during the manufacturing process.
For this reason, Airbus opts to involve its employees and the factory floor. The workers will manage to use smart tablets or glasses to evaluate a task and then send the data to a robotic tool that will finish it.
Jean-Bernard Henz, the head of PLM R&T Innovation at Airbus ICT, says the IoT platform manufacturing will speed up the processes and improve the reliability of the production.
#4 Siemens -- a 75% automated plant
You know the Siemens AG plant is a part of a concerted effort by the German government to develop fully automated factories. Guess what? Siemens is claimed to be 75% automated with 1,150+ employees on board.
All the employees are mainly operating computers and monitoring the process of manufacturing by using the IIoT solutions. Sinalytics, which is a critical component of the IIoT Platform was implemented in 2015. Today Siemens continues developing the Web of System, which directly connects devices to the open Internet and with each other. Besides, Siemens launched a new company in 2016 that is named Innovations AG. The company is dedicated to the search and support of the emerging start-ups that can be a good technological investment for Siemens. This has influenced the factory efficiency, opened the new technological opportunities and reduced costs.
#5 ThyssenKrupp Elevates IIoT Implementation
The CGI global tech firm claims ‘that thing is an elevator’ for the company. Well, let’s see it. Having joined forces with Microsoft and CGI, the ThyssenKrupp Elevator company has now obtained a predictive maintenance for elevators manufacturing.
The IIoT solution securely connects tens of thousands of sensors and elevators systems across the plant. The technology allows for monitoring every stage of production starting from motor temperature and finishing with shaft alignment. The real-life IIoT gathered data lets the company identify vulnerabilities and repair them before an actual breakdown occurs:
What’s the bottom line?
IIoT solutions undoubtedly contribute to production efficiency. The predictive maintenance and pre-emptive repair, manufacturing automation and further spending cuts are just a tiny bit of what I recorded here.
I am almost done here...
Feel like you have something to tell about your IIoT use case?
Drop me a line below!
Those who follow my articles know that I like to make comparisons between the IoT and TV shows and movies. For this article, I have selected the famous show "The Walking Dead" (TWD).
When preparing this article, I read this piece “The Real Walking Dead: Surviving the Software-Defined Zombie Apocalypse” by Scott Noteboom and I thought, well, I am not alone. As Scott, I see a lot of similarities between IoT technology and biology.
Many companies are thinking about their survival after the apocalypse that will be produced by the mix of IoT, AI and Blockchain. CEOs, must make decisions that prevent their companies from disappearing or worse becoming walking dead. And one of the most important will be choose their travel companions well, in order to build a strong ecosystem capable of resist the most adverse scenarios one might think.
IoT solutions that companies need to implement to survive the apocalypse are composed of many apparently simple blocks (devices, protocols, edge computing, fog computing, communication networks, platforms, cloud, analytics, AI, Machine Learning, blockchain, security, applications). But the selection of the vendors and the integration of all of them in the business processes, systems and organizations of companies is complex and there are few companies who can boast of having achieved it.
You probably are tired of hearing that the IoT is very complicated and the ecosystem is very fragmented. You feel that many will become walking dead. But, no one has the crystal ball to know who will be the IoT companies are going to continue within 10 years, not even within 1, 2 or 3 years. Some of them are perhaps in the phase of becoming, when just a couple of years ago they were in good health and of they enjoyed the sympathy of the analysts.
If you have been living in a sanctuary, isolated, it will not last for a long time. You will receive soon the visit of survivors and walking dead. You have to decide to accept or fight the survivors and you must protect your community against the zombies.
The good news is that you are not alone. During the last 5 years I have lived 24x7 by and for the IoT. I have been monitoring and analyzing the IoT landscape. I have seen many IoT start-ups appear and some disappear. We have seen large companies make absurd purchases, or sell IoT businesses when they have not been able to obtain the expected return.
That´s why I am able to provide wise advice and recommendation to avoid from being trapped by partnerships with potentials Walking Dead of the IoT and help you build robust and scalable IoT solutions.
Do not walk blind alone among The Walking Dead of IoT
Bitcoin topics are being on the front page of finance or tech newspapers almost every day and they do not necessarily deal with investment. With bitcoin transactions getting expensive and taking longer to get approved, investors are now sceptical about bitcoin and its future. One can argue that there are troubles wherever the money is in play. But is it really the money (in our case bitcoin) or the underlying technology which is the root cause of these problems?
There are lots of reports mentioning the use cases of blockchain in various industries and sectors. However, none of them hints upon how exactly it works in terms of architecture, a division of roles and responsibilities etc. If we still assume that whole would work more or less in a way it works for bitcoin, then there are certain questions which need to be addressed before one decides for blockchain. We should not only keep the implementation but also the long-term application and maintenance of blockchain in let say a manufacturing environment.
Let’s assume we have an OEM (X) who purchases the equipment parts from supplier A, B till E which in turn depend on their raw material supplier A1, B1..E1 respectively. X decides one day to implement blockchain in order to achieve transparency and better control on processes. In order to achieve this, he asks A..E and their respective supplier to join the network. Moreover, X would like to invite his logistic partner, service partner as well as bank and end customer to join blockchain. The issue which he might face later within his blockchain environment are as follows:
Example of a blockchain in manufacturing
Available IT infrastructure: Blockchain demands decentralized ledger/transaction record made available to all of the nodes/parties involved. The size of the ledger/transaction record will grow with the increase in number transaction with a period of time. What kind of information influx we are talking about can be understood by the fact that every new purchase order will trigger hundreds of manufacturing and supply chain related events with all of this information need to be monitored in the blockchain. Here, for example, A demands stock availability and shipment status from A1 and would like to update his block accordingly. This block will then be made available to X will, in turn, provide the updated information to his logistics partner and the customer. Now in real life, it is more one-to-many or many-to-many kinds of communication. Moreover, when we talk about data then it does not only mean excel sheets or pdf files but it can be anything from an image to a video. The question here, does all of the parties involved are capable of dealing with this load of information/data volume in terms of IT infrastructure? Just to give an idea, the size of bitcoin blockchain increased from merely 620 MB in 2012 to 150 GB in 2018 (ref. blockchain.info). 150 GB of just transaction list, user profile and hashtag info. No way we can compare it to data (design, CAD files, photos, videos, manuals etc.) generated or need to be stored in a manufacturing environment.
Consensus: Every transaction made need to be approved thus creating a new block in the chain. The approval process is quite tedious and requires checks, calculations and creation of hashes (unique ID per block). In case of bitcoin, this task is taken over by miners who select transactions to approve based on the fee offered to them for that. The logic here is simple: a miner chooses to approve a transaction which offers a better fee. The whole idea here is to encourage a party, by means of incentive, to approve a transaction. How this will work in our scenario and who will take over the role of a miner? With no incentive involved, it will be difficult to convince any single party to take over this role especially if creating a block (approving transaction) comes at a cost of high resources consumption.
Transaction approval rate: The other issue with block creation is that the blockchain algorithm limits the creation of new block to 1 block per 10 minutes. Moreover, more transaction will demand more minors to approve them. How does a logistics company shipping hundreds or thousands of packets per hour will cope with this rate?
Openness: In a distributed ledger technology the digital ledger/database is shared and synchronized across the network and is made public to all the parties. This prevents data or record manipulation since each party owns a copy of this ledger and any change or attempts will be reflected within seconds. A very powerful feature of a blockchain to avoid fraud and cyber-attack but with a flaw. What if in our scenario A does not want to share his shipping details to rest of the suppliers of X, or what if X does not want to disclose his dealings with Bank to his customer? Again considering one-to-many or many-to-many kinds of transaction, one has to define a lot of exceptional cases in which one party can satisfy its need of dealing with a certain number of partners.
There is no doubt in the capability of blockchain to revolutionize the digital world. It worked (at least until now) quite well in case of bitcoin but maybe because there was an idea of incentive behind that. Each party involved wanted to make the most out of it (profit for an investor, an incentive for miners) which kept them involved in the system. Will there be the same degree of involvement in the business world and what would be the gain here?
This certainly does not mean that blockchain technology is questionable in every case. The blockchain is a best available solution for sectors where the data security, avoiding data mishandling or manipulation, availability and transparency are the utmost goals. An example here could be government sectors, NGO, hospitals, banks or financial institutes, certification services and so on. There are certain use cases available where certain banks and government institutes have implemented blockchain within their network in order to achieve above-mentioned goals along with ease of business. Again, the information influx in these sectors cannot be compared to that of in a manufacturing environment. Soon or late there will be a solution overcoming the mentioned issues. Or do we already have one?
Healthcare is undeniably one of the most important industries. The quality of medical treatment and patient care directly impact the quality of life. The integration of innovative technological solutions in the domain brings workflow automation, patient treatment, operation, and service improvement.
IoT plays a huge role in the healthcare. By 2020 the global IoT healthcare market is predicted to reach $163.24 billion. At the moment, 60% of healthcare providers have already adopted IoT applications and successfully use them in their work.
According to Aruba Networks research, healthcare organizations implement IoT applications mainly for patient monitoring and maintenance (73%) and remote operation and control (50%).
There is a wide range of IoT medical solutions effectively used by healthcare providers: wearables, smart pills, smart beds, biosensors, robots, glucose measurement devices, equipment monitoring devices, remote monitoring systems, RTHS (Real-time Health Systems), and more.
The connected hospital
There is a variety of IoT use cases for hospitals to integrate and make the environment totally connected. RFID and IoT-enabled devices, IoT-enabled assets and traditional IoT cross-industry applications including predictive maintenance of hospital assets, connected equipment, gathering real-time data, and tracking of healthcare devices. Going deeper there is robotics for routine tasks and complex operations.
Concerning examples, monitoring of medical equipment allows to track its “health”, predict, when some part will need replacement, alert about breaks, and automatically order repairs when required.
Beacons and motion sensors enable healthcare providers to track medical equipment, employees, and even patients in real-time, resulting in the improvement of patient care, right estimations of staff work efficiency and patient health status, and a lot more.
Speaking of connected patients, IoT technology can be successfully used for sending them automatic reminders about taking medication, health check-ups, and appointments with mobile applications. Thus, connected IoT hospitals result in more advanced data, enhanced patient treatment, cost savings, and workflow automation.
The past decade witnessed the emergence of two of the most significant technologies- virtual reality and Internet of Things.
Virtual reality refers to the use of technology to counterfeit an environment where the digital world seems real. It aims to place the user inside an experience, consequently enabling them to interact with the 3D worlds. On the other hand, Internet of Things is all about making real-world objects connect and manipulate in the digital world.
While both these technologies work to bring augmented ease to our lives, it's the convergence of the two that offer the most promising opportunities. Becoming quickly enmeshed in the prevailing times, the two disruptive technologies have largely revolutionized the industrial platform.
The meeting point of the two technologies boasts of immense potential. Let’s understand this with some examples.
The encroachment of telepresence depicts the colossal potential of the confluence of IoT and VR. If we talk about a typical video conference, the system includes a monitor screen, sound system, and codec. You can add additional speakers or a projector screen to improve the video conference experience. However, with telepresence, it is not the same.
With an aim to extend near lifelike audio and video quality, telepresence leverages compound multi-codec, multi-monitor, and multi-speakers. It has successfully transformed the way we can communicate with others over long distances. It offers the ability to look and move freely within a real-world environment, giving the illusion of actually being present there.
Telepresence has efficaciously eliminated the time and financial constraints related to travel. Offering all the benefits of a face-to-face interaction, it has made long-distance meetings exceedingly convenient.
2) Virtual Smart Cities
An increasing number of cities around the world are looking to become “smart” in order to improve comfort, reduce costs and consumption of resources and augment the quality of life of its citizens. Consequently, for the concept to materialize, it is significant that Internet of Things along with its accessibility to public grows. This will enable adequate accurate data to be amassed in cities for analysis and forecasting.
Moving ahead, these cities need to be integrated into a well-controlled virtual environment. This will allow an accurate analysis of the prevailing city conditions as well as help in making predictions of the impending future scenario. Thus, any kind of risk or disaster can be effectively monitored to simulate its effects.
The union of VR and IoT technologies has greatly assisted the healthcare field by bringing improved ease to patients as well as doctors. A competent example of this is robotic-assisted surgery, which has been in use for quite some time now. Also known as da Vinci Surgical System, it allows the surgeons to perform a least invasive surgery. A camera along with a few tools is inserted into the body through a relatively small opening that allows the surgeon to get a full view of the operating area without exposing the patient to the ordeal of a large incision.
The system includes a 3D HD vision system and small wristed devices that revolve and bend much better than the human hand, thus enabling improved vision, control, and accuracy.
But, this is just the beginning. It is anticipated that VR surgeries will soon control real da Vinci systems, permitting surgeons to operate on patients while sitting in their offices.
Considering the potential of the two technologies, more and more companies are investing into the development of new applications of both virtual reality and internet of things and because of that, in past several years so many IoT App development companies has been evolved in the market. In the following year, it is predicted to see a growing number of integration of smart objects within virtual simulations, for purposes such as leisure, training, or damage prevention.
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