The phrase, “the future is here,” is overused and has evolved into a catchphrase for companies struggling to position themselves in times of technological or digital transformations. Still, the sentiment is understood, especially in times like today, where the Internet of Things is quite literally changing the way we think about hardware and software. We’d like to offer an addendum to the phrase: “The future is here more quickly than we thought it would be.”
Digital transformation, increased computing ability, smart hardware and the growth of connectivity capabilities created a perfect storm of accelerated industry, and many were left scrambling to sift through the large amounts of information and solutions available. With that in mind, we wanted to provide some advice for companies across the industrial sector for the best ways to optimize operations for the Industrial IoT.
1) Upgrade your network and throughput capabilities.
Nothing can kill the ROI of automated processes more quickly than the literal inability to function. It’s important to understand that as you upgrade machinery and invest in the software to run it all, those systems demand greater bandwidth in order to effectively utilize the big data and analytics capabilities. Several options exist, but for most companies some combination of industrial-strength broadband (WiFi), narrow-band, cellular and RF communications will create the most effective network for the needs.
2) Invest in smart hardware.
This may seem like a no-brainer, and really, in the not-too-distant future, you may not even have a choice, but the shift toward Fog Computing is gaining momentum and being able to run decentralized computing between hardware and the Cloud can not only create greater operational efficiency, but it can also allow your data transmission to run more smoothly as well. The beauty of a Fog Computing system is that it allows a greater number of devices to transmit smaller data packets, which frees up bandwidth and speeds real-time data analytics. The core of this lies in the smart hardware.
3) Be proactive about application development.
Smart hardware means that it has the ability to host applications designed specifically for your needs. Previously, many companies shied away from app development because it required highly skilled developers and devices capable of hosting those apps – a combination that wasn’t readily available. Today, the scene has changed. With the rise of Node-RED, it is much easier today to create proprietary applications without a computer engineering degree, and any company serious about leveraging IIoT technology needs to be able to to use the full scope of its data.
4) Secure your communications.
There isn’t much more to be said about the importance of cybersecurity. If the last few years of massive data breaches haven’t rung alarm bells, then you aren’t paying attention. Cybersecurity today is a multi-layered need. Most companies building smart hardware are beginning to build encryption directly into the devices. But, since many companies use Cloud applications for computing and analytics, it is important to invest in strong security measures at that level as well. Unfortunately, the sophistication of cyber-attacks are only going to increase, along with the increase in importance of the data needing to be protected. It pays to be paranoid and act accordingly.
Guest Post by Daniel Elizalde
Every new technology trend brings speculation and talk about a “killer app” that will be the solution to all of our problems.
Tech publications and blogs produce countless articles searching for the “killer app” for the iPhone, the Cloud, Blockchain, Artificial Intelligence, and of course, IoT. We’ve also even seen the same hype for development processes. I can’t tell you how many times I’ve heard that Agile is that silver bullet. Or maybe it was Lean, or Kanban? Hard to keep track.
But as a Product Manager, we can’t keep chasing the next big thing all the time. It’s true we need to understand where technology is going, but we need to be more pragmatic and realize there is no single “killer app” for anything. Particularly for IoT.
Is predictive maintenance the killer app for IoT?
Predictive maintenance refers to the practice of adding sensors to collect and analyze real-time data from industrial equipment to predict when it is likely to fail.
I often talk to companies who want to get into IoT by offering predictive maintenance solutions. They are interested not because they’ve spotted a customer need, but because they’ve heard that predictive maintenance is where the money’s at in IoT. In essence, somebody convinced them that predictive maintenance is the killer app for IoT.
It is true that predictive maintenance is getting a lot of traction with industrial companies, but that’s because it addresses a tough problem that those particular companies already had. Not because predictive maintenance in itself is the solution to all problems.
My advice is this: Instead of looking for the killer app for IoT, companies should focus on understanding their customer’s needs and evaluating how they can leverage the Internet of Things to solve those problems in a better, faster, or cheaper way.
In short, by understanding your customer’s needs, you can design the right killer app for that particular customer challenge.
If you stop considering IoT as a silver bullet and instead look at it as another tool in your portfolio, you can move past the hype and start working towards building real solutions.
Other innovative applications leveraging the Internet of Things
To drive this point home, I’d like to share a few real-world applications in use today. Notice that these products are not creating a new category of problems. Instead, they provide more efficient solutions to existing customer problems. These companies understood their customer’s challenge and then leveraged IoT by asking the question, “How can I provide a better solution by acquiring and processing real-world signals from my customer’s environments?”
If you think about it, acquiring and processing real-world signals is one of the key attributes of IoT, so with that in mind, what innovative solution could you create for your customers?
Reducing traffic congestion via smart parking
As cities grow, so does their traffic congestion. And in many cities, a big contributor to this congestion is lack of parking spaces. Think about cities like San Francisco or New York. Drivers spend a lot of time circling around buildings trying to find a parking space. This in turn increases the traffic of already congested areas.
Some cities are looking at IoT to address this issue. By placing sensors on the street and on lighting posts, cities are able to track which parking spots are available and offer this information to companies who can monetize this data via apps or other types of services.
The parking information is also aggregated in the Cloud and allows cities to study traffic patterns to plan for better solutions in the future.
Optimizing waste collection
A company in the Netherlands is using the Internet of Things to track waste through its complete lifecycle. They place sensors in each of their bins to inform waste collectors when the bin is full and needs attention. This allows them to optimize collection routes and minimize the time and effort it takes to collect this waste.
Their collection trucks are also equipped with load sensors that determine, in real-time, the amount of waste that the main disposal center can expect as the trucks approach their destination.
Increasing resiliency in the electric grid
To increase resiliency in the electric grid, utilities around the world are leveraging IoT solutions to detect where power was interrupted so they can send a team to fix it right away. It used to take hours before utilities could determine the exact location of a fault. Today, they have this information in real-time plus they can apply machine learning to anticipate the location where faults are likely to occur.
Helping with conservation efforts
The applications for the Internet of Things go across all industries and verticals. For example, teams in Africaare leveraging IoT to prevent elephant poaching. The teams tag each elephant with a smart collar and track the elephant’s location and motion patterns.
The information collected by the collar is analyzed in the Cloud by specialized algorithms. Some of these algorithms can detect when an elephant becomes immobile, which could be a sign of an attack by poachers. The system sends alerts to the wildlife management bodies who provide fast response.
The Bottom Line
As I mentioned at the beginning of this post, there is no one, single killer app for IoT. Instead, any company can create the right killer app that solves the need of their specific customer, in their specific industry and vertical.
In this post, I shared a handful of examples, but we are seeing applications in all industries, from Healthcare, to Energy, to Smart Agriculture, Smart Buildings, Transportation, etc. Companies in all industries are looking to adopt IoT as the catalyst to improve their existing solutions.
So as a Product Manager, where do you start? Forget trying to chase the killer app. The first step is to have a clear understanding of your customer’s needs.
The second step is to understand how you could improve your solution by collecting and processing real-world signals and therefore, providing a better, faster, cheaper, or more innovative solution to your customer—one that provides a lot of value and they can’t wait to give you money for.
This story was originally published here.
When Internet becomes commonplace, the world will become a smaller place where anything and everything will communicate with each other.
This is why Internet of Things app development has become such a hot topic in the recent days.
“In 2016, global spending on the IoT was approximately $737 billion. IDC predicts that by 2020, it will touch $1.29 trillion with a CAGR of 15.6 percent.”
This make us wonder how much does it cost to build an iot app? As a Digital Transformations company that has developed and launched Iot apps for healthcare, connected cars and connected manufacturing, we feel we are the best fits to answer this question.
The Multidimensional Impact of IoT App Development
There are two things to consider in IoT app development. The cost of building an iot app is also directly reliant on these two things. They are:
- App concept
- Proof of concept
The App Concept, in simple terms is the idea of the app. It should pertain to an industry, like healthcare, manufacturing, logistics, retail, automobiles, etc. The idea should be to connect and automate a process which was earlier dependent on manual processes.
Example: Collecting pressure, volume or heat readings from factory equipment
The idea should be conceived in such a manner that it can be collaborated or integrated with existing mobile applications for extensive usage and scalability.
The Proof of Concept (PoC) is like a feasibility report for your app concept. It establishes the workflow of your app and proves that it is possible to scale the concept into actual operations. Ideally, the PoC will be implemented in a real-life scenario where its commercial viability can be measured and recorded.
Example: A manufacturing plant for automobiles that wants to automate its manufacturing workflow at each stage of operations at body shop, paint shop and dispatch.
Once you have sketched out the app concept and proof of concept you will have a precise idea of your app development requirements, like:
- App in ioS, Android or Windows
Challenges in IoT App Development
Now comes the tough part. Unlike ordinary mobile app development, developing apps for IoT devices calls for unique set of abilities and infrastructure. The choice of hardware is the primary challenge.
The hardware should be something which has a tiny physical size and also can run for a long span of time without running out of power. The sensor must also have a low power appetite to meet the low cost expectations of an enterprise.
IoT devices primarily connect over a variety of connectivity protocols like Bluetooth, Wifi, Zigbee, RFID, Infrared, etc.
There are also other protocols followed for device identification, sensors, security and devices. The image below depicts how a typical IoT ecosystem is distributed.
Picking the right mix from the above is one of the toughest challenges in getting started with IoT development. The cost of building an IoT solution is also directly proportional to the choices made.
How Long Does it Bring an IoT to Market?
Wireframing, developing and deploying an IoT market is a hypothetical matter. There is no one answer which fits all situations. Depending on the app’s complexity, hardware used, software configurations required, the time required will vary. Some other factors which determine the time to market include:
- Project size
- Features involved
- Dynamic changes
- New tech to be included
- Visual Identification
Further, the cost to develop iot app will also increase or decrease with relevance to the teams involved. For a simple IoT app that can connect a Thing to a mobile app or cloud server will need a basic team consisting of:
- 2 developers
- 1 UI/UX designer
- 1 QA engineer
- 1 Project manager
For advanced IoT app development, the team requirement will include:
- 3 to 4 developers
- 1 UI/UX designer
- 1 Business Analyst
- 1 Backend developer
- 1 Administrator
- 1 Panel Designer
- 1 QA engineer
- 1 Project Manager
Overall, the cost estimation for IoT app development can be summarized as under:
- Basic App - $3,000 to $8,000
- Complex app - $8,000 to $15,000
- Highly sophisticated app - $15,000 onwards
Is this a final quote for iot app development cost? Not exactly. Every mobile app, especially one designed to work with IoT will have dynamic pricing.
Predictive maintenance is the idea of fixing something before it breaks, which can save you LOTS of time and money!
- Preventative Care: Using predictive maintenance, it’s easier to see when and where a tool or machine are beginning to wear. You can replace the part immediately.
- Prevents Breakdowns: A total breakdown can ruin your business.
- Eliminates Overproduction: You no longer have to hold on to excess inventory due to possible breakdowns.
- Minimizes Costs: Replace parts and supplies only when they needed to be.
- Maximizes Production: Hours of production are no longer lost due to unexpected breakdowns or maintenance issues.
What Predictive Maintenance Tools are Used?
There are a number of tools, supplies, and procedures that your maintenance team can apply. The great part about these tools is that none of them will interfere with production schedules and your equipment can run at normal capacity.
Here are the tools most commonly used:
- Vibration Analysis: A trained individual will either use a hand-held device or a monitor built into the machinery. The vibrations will pinpoint where wear is showing, on parts like shafts and bearings.
- Sonic and Ultrasonic Analysis: Works in a similar fashion to thermal imaging.
- Thermal Imaging: Using infrared thermal imaging, you can easily spot where the problems are. The heat from the worn component will show up as a hotspot on the imaging.
- Oil Analysis: Allows you to check the oil for any potential leaks. This will show you what is leaking and where. Helps you check for particles and liquids.
- Emissions Testing: Finding out what types of gasses and what else is in your effluent will tell you a lot about the current state of your equipment. It will also help you reduce environmental emissions.
- Condition Monitoring: Using sensors, you can easily detect when things go wrong. You can also set it up to monitor everything from an outside location.
Are There Downsides?
Up front, the initial costs for implementing a predictive maintenance plan can be expensive.
It requires a high level of skill and experience to effectively monitor and accurately interpret the machines.
The initial cost of the condition monitoring equipment is also high. However, if you have more than a few machines, it most likely will prove to be a cost-effective decision to implement a predictive maintenance plan for your manufacturing business.
For larger manufacturing companies, there has been a big move toward implementing predictive maintenance. In fact, by 2024 predictive maintenance is expected to grow worldwide to $3.2 Billion.
Perhaps it’s time for your company to join the movement?
Implementing a new system is never something to be taken lightly. It’s important to have all the facts before making a decision.
IOT is a system of interrelated ‘things’ that are connected over a network and can send and receive data over it. A ‘thing’ in IOT can be thought of any man made or natural thing that can be assigned an IP address, for example, a man have a heart monitor implant or a car having sensors to alert the driver of any abnormal condition.
What do I need to have?
According to a survey, as of now we just have 300,000 IOT experts, but we might need as much as 4.5 million IT people having IOT expertise in future. IOT in a midst of explosion, but the problem is the lack of talent regarding this field. If you will have the following skill sets of IOT will surely benefit you in future.
- Machine Learning- expertise in this field will take you a long way. Machine learning algorithms make the machines smarter by giving them the ability to predict by recognizing the data patterns. According to an IT expert this skill is 220% more in demand in the market because employers want to harvest the large amount of information using the machines and their sensors.
- AutoCAD- this is software that enables you to engineer appliances and have a very strong growth as the complexity of the machinery related to IOT goes on increasing. Smart and connected things often require a whole new set of thinking principles and hence there can be a change in the design at the very last moment. AutoCAD helps in making any change even at the last moment quite efficiently and expertise in this field is said to have a weightage of 108% when compared to other skills.
- Security infrastructure- with the presence of such sensitive information over a network the apex concern of any employer has to be its security. Due to the complexity of the IOT devices the endpoint security gives a lot of attention. Everything that is available on a network is prone to theft and a risk of information leak, hence having a skill around security comes as a critical factor for your success in it.
- Data management (Big Data) - IOT has an enormous amount of data revolving and every day there is an addition to it. Companies need to collect all the data and also filter the repetitive one. The data needs to be so managed that it gives an accurate estimation of the business so that ways to growth can be taken out of that. Using artificial intelligence along with big data can help the companies get the results faster and more efficiently.
- Electrical engineering- the future needs an apt team up of software engineers and electrical engineers. Electrical engineers are needed to help with embedded device development for mobile applications and for radio frequency in order to get a smooth and effective mode of communication.
- Circuit design- connected devices are forcing the companies to adjust and adapt chip design to meet their requirements. For example- systems that require power for a longer span of time are required to have a chip that takes care of their power consumption and keep it optimized.
IOT is a revolution in IT that will certainly increase the number of jobs that are available in this sector. Moving with time and learning new things is the only way to proceed and become succeed.
There is an ongoing transition from a world where having an internet connection was sufficient, to a world where ubiquitous connectivity is quickly becoming the norm. The ability to gather and transport data at high speeds from anywhere is leading to increased automation, smart-everything (vehicles, homes, appliances – you name it), and a standardization of languages and protocols that make the possibilities nearly endless.
Recently, IEEE and Eclipse Foundation completed surveys that provided a snapshot on tools, platforms and solutions being used by engineers and programmers alike to build the Internet of Things. According to Joe McKendrick for RTInsights.com, there were several notable conclusions to be drawn from the results, including the revelation that, of the 713 tech professionals surveyed, nearly 42 percent said their companies currently deploy an IoT solution, and 32 percent said they will be deploying/working with an IoT solution over the next 18 months. Additionally, RT Insights writes:
“In terms of areas of concentration, 42% report they are working with IoT-ready middleware, while 41% are concentrating on home automation solutions. Another 36% are working with industrial automation as part of their IoT efforts. One-third are working on IoT for smart cities, and the same number are building smart energy solutions.”
An interesting note from those conclusions is that 36 percent are working with industrial automation as part of their IoT efforts. Earlier this year, we predicted that Industrial IoT (IIoT) app development would outpace consumer IoT apps, and although this sample size is somewhat limited, it still bodes well for the development of the IIoT sector that is just starting to come into its own.
Among IoT developers, there has been a bit of debate over the programming languages that best suit IoT apps. There are situationally appropriate uses for the main languages, but currently, the majority of developers prefer Java and the C language. For developers, being able to build out IoT apps that can work across platforms is a giant step toward standardization. Specifically, in the Industrial IoT, being able to build apps that can function at the Edge to enable smart data collection is a becoming an unofficial mandate for any companies hoping to transition legacy OT operations into the IT/OT convergence movement taking place across critical industries.
Of course, building apps is a meaningless task if the hardware being deployed can’t host those apps, a finding that was demonstrated by the survey:
Hardware associated with IoT implementations include sensors, used at 87% of sites, along with actuators (51%), gateways and hub devices (50%), and edge node devices (36%).
This Edge functionality and sensor deployment are two pieces that are driving the adaption of IoT technology across industries that have traditionally relied on data as the main tool for decision making. However, with smarter hardware, these industries now have the opportunity to improve the efficiency of that decision making – a transformative capability in the industrial realm.
Join FreeWave’s ZumLink IPR Pilot Program!
What if you could…..
- Collect, analyze and react to data in real-time at the sensor edge?
- Reduce BIG DATA that clogs data pipelines?
- Minimize the cost of expensive PLCs?
- Control your sensor at the closest touchpoint?
The ZumLink IPR App Server Radio combines 900 MHz wireless telemetry with the ability to program and host 3rd party Apps for intelligent control and automation of remote sensors and devices. To participate in the pilot program, visit: http://www.freewave.com/zumlink-ipr-pilot-program/.
Pilot Program participants:
- Receive a complimentary hardware/software Dev Kit
- Get support from FreeWave software engineers
- Should have App developer’s skills
- Use cases that would help you or your organization solve a problem
- Problems you would like to solve
- Developers that could build this App
Sounds similar to jargons from the movie ‘Back to Future (1985)?
Hold yourself together. A part of the world has already started using it.
If you have a light memory turning off switches or managing home appliances, these IoT technologies are going to be your guardian angels.
Let’s find how the above ‘jargons’ will become a part of your life. Also, for the geek in you, their modus operandi is also described.
#1 Adaptive Lighting
IoT can make your home lighting system smart enough to adjust its brightness or to switch off automatically by sensing its surroundings. With IoT adaptive lighting your, indoor lighting systems will turn themselves off when there is no one in the house, or adjust the brightness according to external lighting conditions to give minimized energy consumption.
Companies like LG are taking it to forward to manufacture lighting systems that will turn on by default along with alarm clocks or to flicker when there is a telephone call or movement is sensed. Adaptive lighting relies on motion sensors and optical sensors to gather metrics about its immediate surroundings based on which the lighting systems function.
#2 Responsive Thermostats
Thermostats that auto adjust the temperature and power consumption according to external climatic conditions is a boon for any household. Smarter thermostats can learn the usage pattern of family members and alter its functions accordingly. Going a step ahead, these responsive thermostats can even connect to the Internet to receive updates about family members and change the power consumption and internal temperature control.
For instance, if you are away from your home for a very long time, the thermostat will reduce the power consumption to a bare minimum, or send alerts when the equipment malfunctions. Amazon Nest is a classic example of responsive thermostats. They use heat and climate sensors to decide at what optimum temperature the thermostat must run for best performance.
#3 Autonomous Security Systems
IoT will foster a breed of homes and offices where physical keys, access cards or even tokens will never be needed. Sensor based security systems can be programmed for allowing entry, locking or alerts in case of a break in. Advanced IoT applications also allow integrate your home security system for communicating with your smartphones. These autonomous security systems will work based on movement sensors or proximity sensors.
#4 Connected Appliances
How many times have you missed turning off the oven? Or the washing machine? Or the coffee machine and the endless list of other home appliances? With the oncoming wave of IoT, connected appliances will empower homeowners to control their entire suite of home appliances using their smartphone or remote controls.
Two of the classic examples of connected appliances are: Smarter’s WiFi coffee machine that brews fresh coffee even when you are lazing around or the Electrolux CombiSteam Oven that can be controlled anywhere using your smartphone.
#5 Surface Remote Controls
Surface remote controls can turn any surface (like a desk, wall, floor, etc.) into a remote control. Surface remote controls allow users to control several domestic settings like lighting, control connected appliances, open/close doors, switch on/off TV, wifi, music system, etc.
Image source: knocki
These devices are equipped with programmed sensors which can communicate with other IoT devices to do desired actions. Surface remote controls can bring about a revolutionary level of comfort not just in homes, but also offices, factory floors and public spaces. Knocki is one such device that can turn any surface into a remote control.
That brings us to the conclusion. Be informed that this is just a tip of the iceberg. IoT is an ocean of opportunities and these five hints at how homes of the future will look and function like.
Contus, the digital transformations company is creating a whole new breed of IoT connected systems under its ambit of services titled Contus Connect.
The widespread use of the Internet of Things (IoT) is systematically impacting worldwide growth in online transactions, and research from Gartner underscores that this trend shows no signs of waning.
This compounding growth in connected devices and their use in online transactions has created new challenges for merchants trying to stay compliant with a complex web of global ecommerce regulations that vary by country and state.
As merchants bear the burden of regulatory compliance, they need to be able to quickly adapt to changes to ensure competitive advantage and sustained success.
Take the popular “driver for hire” company Uber. A few years ago in India, Uber’s largest market behind the U.S., the government closed a loophole in a 2009 law. The amended law required two-step authentication (with verification codes sent via text or email) for any “card not present” transaction. In other words, the ease of the Uber app’s payment system was now illegal for the sake of added consumer protection.
This not only put the company at risk of noncompliance in India, but the change could have shut down the company’s operations in India altogether. Even though Uber acted quickly and updated its app, consider the potential negative consequences had it not been able to pivot: heavy fines, potential lawsuits or, even worse, allowing an opportunistic competitor to strategically enter the region. The ability to nimbly pivot when facing unexpected changes is what has, in part, given industry leaders like Uber market dominance.
This past November, the EU introduced legislation banning unjustified geo-blocking between European member states to boost ecommerce across the region.
Geo-blocking is a discriminatory practice preventing customers from making online purchases outside of their resident nation. With the new legislation, a consumer in France, for instance, can purchase goods off a German ecommerce site instead of being re-routed to the French site, where prices may be higher.
This measure was made to promote – rather than restrict – commerce in the EU , forbidding traders from blocking or limiting customer access to their online interface based on nationality or place of residence. And while the new legislation provides a tremendous advantage for the consumer, it forces merchants to adjust how they’d previously done business. Opening up the market, merchants not only lost their price discrimination leverage, but also had to ensure they updated their payment processing and other systems to avoid business disruption and remain compliant. Ultimately, those that are flexible enough to address these requirements will thrive over less nimble competitors.
One thing is certain for merchants: as consumers buy more online, merchants need to prepare for the unexpected. The previous examples just scratch the surface when it comes to adjusting for new ecommerce regulations. Many questions remain unanswered when it comes to commerce and consumer protection, namely:
- Will products enabled with automated subscription services (think Tide detergent ordering replenishment pods) have a required notification period before an order is placed?
- Will a consumer’s electronic signature be required before an order is authorized, as in the Uber example above?
- Does information that is collected and related to health and wellness, such as fitness tracker/health band data, fall under the protection of additional medical regulations like HIPAA (in the United States)?
How merchants navigate this murky regulatory landscape is critical. Each new regulation can reset the competitive playing field, making flexibility a company’s most important asset.
Companies have every reason to be opportunistic as regulations shift and new opportunities arise. The trick is to put your company in a position to turn the inevitable complexity of global commerce compliance into a competitive advantage – something that may be giving merchants headaches now, but will be well worth the pain once the groundwork has been laid.
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.
The IoT chip technology constitutes hardware such as processors, sensors, connectivity ICs, memory devices and logic devices which are used in IoT-enabled devices. The exact growth of this technology in market are the increasing demand for application-specific MCUs and flexible SoC-type designs and increasing investments by major giants of this industry in the IoT market.
Accroding to the research news, The IoT chip market is expected to reach USD 14.81 Billion by 2022 from USD 5.75 Billion in 2015, growing at a CAGR of 13.2%. The growth of the automotive and transportation application was primarily driven by the development of intelligent transportation systems (ITS) and high potential for the growth of connected cars.
The IoT chip market for the retail end-use application is expected to grow at the highest CAGR from 2016 to 2022, followed by wearable devices. The rising demand from customers for easier and better shopping experience would drive the use of IoT in the retail application as it would help customers to reduce checkout times, facilitate easier payment procedures, and enable a comparative cost analysis.
Research said, North America held the largest market share of the global IoT chip market in 2015, where as APAC is expected to grow at the highest CAGR from 2016 to 2022 owing to the huge investments by the companies for the development of IoT.
For more details you may refer: http://www.marketsandmarkets.com/Market-Reports/iot-chip-market-236473142.html
IoT Chip Market Scope:
By Hardware: Processors, Sensors, Connectivity IC's, Memory Device, Logic Device.
By End-Use Application: Wearable Devices, Healthcare Sector, Consumer Electronics, Building Automation, Industrial, Automotive & Transportation, Agriculture, BFSI, Retail, Oil & Gas.
By Geography: North America, Europe, Asia-Pacific, Rest of the World (RoW).
Popular industries involved in IoT (technology) market:
The companies that are profiled in the IoT Chip report are Intel Corporation (U.S.), Qualcomm Incorporated (U.S.), Texas Instruments Incorporated (U.S.), NXP Semiconductors N.V. (Netherlands), Microchip Technology Inc. (U.S.), MediaTek Inc. (Taiwan), STMicroelectronics N.V. (Switzerland), Renesas Electronics Corporation (Japan), Huawei Technologies Co., Ltd. (China), NVIDIA Corporation (U.S.), Cypress Semiconductor Corporation (U.S.), Advanced Micro Devices, Inc. (U.S.) and Samsung Electronics Co., Ltd. (South Korea).
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
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It’s nothing new. Liminal experiences are already all around us: from a movie poster at the bus stop to a billboard on the highway, to an inspirational quote at the bottom of a company newsletter, to absolutely everything at the…Continue