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Choose Your IoT Technologies Wisely

This is my second analyst perspective based on our IoT Benchmark Research. In the first, I discussed the business focus of IoT applications and some of the challenges organizations are facing. In this post I’ll share some of the findings about technologies used in IoT applications and the impact those technologies appear to have on the success of users’ projects.
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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:

  1. App concept
  2. 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:

  • Hardware
  • Infrastructure
  • 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. 

 

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Since many embedded devices are deployed outside of the standard enterprise security perimeter, it is critical that security be included in the device itself. Ultimately, some combination of hardware and software may be required. Building protection into the device itself provides a critical security layer whatever options are used. Security must be considered early in the design of a new device or system.
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Predictive maintenance is the idea of fixing something before it breaks, which can save you LOTS of time and money!

“Don’t Fix It If It Ain’t Broke.” Horrible advice, especially if you run a manufacturing plant.
Any industrial business should really be focusing on predictive maintenance. Predictive maintenance is the idea of fixing something before it breaks. It saves businesses time, money and a lot of frustration.

So What Exactly Is Predictive Maintenance?
Predictive maintenance works by using a number of tools and techniques to monitor the condition of your machines and equipment to help you determine when and where a breakdown might occur so you can fix it before the system breaks down.
Certain components that would normally be replaced at specific intervals can be found to last much longer, by using predictive maintenance.
  • How Does It Help a Company to Use Predictive Maintenance?
  • 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.

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Top 6 Skillsets Required for IoT

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.

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.

Conclusion

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.

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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!

IIoT App Development with Java, Python and C++ languagesWhat 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

Let’s discuss:

  • Use cases that would help you or your organization solve a problem
  • Problems you would like to solve
  • Developers that could build this App
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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.

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The IoT needs to be distinguished from the Internet. The Internet, of course, represents a globally connected number of network, irrespective of a wired or wireless interconnection. IoT, on the other hand, specifically draws your attention to the ability of a ‘device’ to be tracked or identified within an IP structure according to the original supposition.
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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.

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The rise of the Internet of Things was just the beginning. There is something much bigger brewing. It’s called the Internet of Everything — otherwise known as IoE. Instead of the communications between electric-powered, internet-connected devices that the IoT allows, the IoE expands it exponentially. The IoE extends well beyond traditional IoT boundaries to include the countless everyday, disposable items in the world. If the IoT is the solar system, then the IoE is every galaxy in the universe.
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Smart IoT - Generate Greatest Value

Digital Transformation

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.

Smart IoT

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.

 

 

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What if you could browse an online grocery store, add products to your shopping cart and complete your order right on your smart fridge’s screen using your voice instead of touch interactions? Does speaking to your fridge sound weird? Not at all. At least when you have a friendly, voice-powered shopping assistant integrated with your refrigerator.
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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).

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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.

 

IoT Generalist

IoT Specialist

Advantages

  • Having a good understanding of a wider selection of IoT topics can help make better decisions and find solutions that a specialist might not be able to see.
  • In a fast-changing workplace, IoT generalist transferable skills will become increasingly important and will be less restricted with their career opportunities.
  • The salaries tend to be higher, even at the starting point and can also provide more internal power.
  • You can become a widely recognized leader in your field.

 

Disadvantages

  • By simply knowing the surface you can easily be replaced by another generalist.
  • Become a widely recognized leader will require specialization.
  • The narrowed focus and expert skills in an area mean IoT Specialist can only find work in this narrow field.
  • ·   The opinion on other issues might not be as valid if the topic at hand not involve your area of expertise directly.

 

“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?

IoT Startups

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.

My Opinion

  • ·         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.

My Opinion:

  • ·         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?

My Opinion:

  • ·         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

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MWC- The Great Illusionists Show

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

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

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 was a matter of time to end up writing an article to talk about the connection between Internet of Things (IoT) and the technology (arguably still in the infancy of its development) that may have the greatest power to transform our world, Blockchain.

In a future planet interconnected not just by devices, but by the events taking place across it, with billions of devices talking to one another in real time, the Internet of Things will require a secure and efficient way to track all interactions, transactions, and activities of every “thing” in the network.

Blockchain’s role could be a coordination layer across devices and the enabler of the IoT to securely facilitate interactions and transactions between devices, and may also support certain processes related to architecture scalability, data sharing, and advancements in encryption and private key technology, enhanced security, and potentially even privacy.

With blockchain, the Achilles’ heel of the IoT of heterogeneous OEM devices world now becomes viable. I wonder however, if is feasible that this decentralized IoT network may co-exist IoT sub-networks or centralized cloud based IoT models.

But let's face it, blockchain is still a nascent and controversial technology (experts estimate that it might take 5 -10 years for the mainstream adoption of blockchain technologies). Therefore, we must consider that blockchain’s applications within the Internet of Things is still a matter of conjecture and trial, and that it will take more time to determine whether and how blockchain might be implemented to secure IoT ecosystems.

What is Blockchain?

Blockchain, the technology that constitutes the backbone of the famous bitcoin, is a database that maintains a continuously growing set of data records. It is distributed in nature, meaning that there is no master computer holding the entire chain. Rather, the participating nodes have a copy of the chain. It’s also ever-growing — data records are only added to the chain.

A blockchain consists of two types of elements:

  • Transactions are the actions created by the participants in the system.
  • Blocks record these transactions and make sure they are in the correct sequence and have not been tampered with. Blocks also record a time stamp when the transactions were added.

If you want to know more about blockchain you can read:

Fascinating opportunities ahead with IoT and Blockchain

The possibilities of IoT are virtually countless, especially when the power of IoT is combined with that of other technologies, such as machine learning. But some major hurdles will surface as billions of smart devices will want to interact among themselves and with their owners.

While these challenges cannot be met with the current models that are supporting IoT communications, tech firms and researchers are hoping to deal with them through blockchain.

Applying the blockchain concept to the world of IoT offers fascinating possibilities. Is yet to be seen if blockchain is bound to expedite the revolution, simply by being the backbone for most of the future IoT systems.

An example -  Right from the time a product completes final assembly, it can be registered by the manufacturer into a universal blockchain representing its beginning of life. Once sold, a dealer or end customer can register it to a regional blockchain (a community, city or state).  But, this is only the beginning for the blockchain and Internet of Things (IoT). A washing machine could become a semi-autonomous device capable of managing its own consumables supply. It can perform self-service and maintenance, and even negotiating with other peer devices.

Challenges of Blockchain and IoT ecosystems

The chaotic growth of IoT will introduce several challenges, including identifying, connecting, securing, and managing so many devices. It will be very challenging for the current infrastructure and architecture underlying the Internet and online services to support huge IoT ecosystems of the future.

Forrester analyst Martha Bennett in the report “Disentangle Hype From Reality: Blockchain’s Potential For IoT Solutions defines three categories of challenges that Internet of Things and blockchain ecosystems participants must address: Technology, Operational challenges and Legal and compliance issues.

According with the report, the result of multiple surveys indicates that what the IoT requires more than any technological or architectural advancement is trust: trust between stakeholders and the devices interacting with them, their customers, or on their behalf.

 “As technology and commercial firms look for ways to deploy and secure Internet of Things technologies at scale, blockchain has emerged as a clear favorite for managing issues like identity and transaction security”

Blockchain, a strategic ally to Democratize the IoT

The big advantage of blockchain is that it’s public, so there is no single authority that can approve the transactions or set specific rules to have transactions accepted. Thus, the primary utility the blockchain is a censorship resistant way to exchange value without intermediaries.

Will blockchain disrupt the disrupters?.  In my post “Is it possible to democratize the Internet of Things? How to avoid that a handful of companies can dominate the IoT” I already suggested the use of blockchain to avoid that data-hungry businesses and governments collect data on the behaviour of people and the performance of objects. Blockchain could avoid that Multinational and governments deepening tracking and control of citizen behaviour and attitudes. 

Are IoT Business Models at risks with Blockchain?

IoT Service Providers hope not. There is a risk that the combo of blockchain and the sharing economy trashes some new IoT business models.  Same way that, successful or not as successful platform, companies like Uber and Airbnb, are worried today.

Just think, the success of these and some other platform companies is largely due to people trading assets they own and are paid for, but from which new value could be derived, And they release this value by using platforms to match up sellers of the extra capacity – whatever it may be – with buyers. Further, they collect data about transactions “for further commercial gain”.

Indeed, arguably many of new IoT companies’ main line of business will be data, but, what if blockchain enabled buyers and sellers to work peer-to-peer and cut out the middleman/data aggregator and seller? In that case the secure connectivity could be king not the data.

A question for IoT Platform vendors, if we have a secure, foolproof decentralized system, why do I need your IoT Platform if I and all the communities I belong to can do it for ourselves, without anybody collecting, analyzing and selling data about me?

The convergence of Blockchain and the Internet of Things closer

In my post “Will we be able to build the Internet of Things?” I warned about the Babel tower of Alliance & Consortiums in the Internet of Things.

A blockchain technology industry consortium is emerging from the meeting, New Horizons: Blockchain x IoT Summit,  with the objective of defining the scope and implementation of a smart contracts protocol layer across several major blockchain systems.

In December 2016, representatives from a group of industry-leading startups and innovative Fortune 500 companies met in Berkeley, CA to discuss the challenges facing blockchain and IoT innovation and the potential for a collective effort to address them.  The meeting was the first step towards a collaborative effort to explore and build a shared blockchain-based Internet of Things protocol. Participants in the discussions included blockchain companies Ambisafe, BitSE, Chronicled, ConsenSys, Distributed, Filament, Hashed Health, Ledger, Skuchain, and Slock.it, along with Fortune 500 corporations BNY Mellon, Bosch, Cisco, Gemalto, and Foxconn.

Who is using Blockchain in IoT

The IoT and blockchain combination is already gaining momentum, and is being endorsed by both startups and tech giants. Several companies are already putting blockchain to use to power IoT networks.

Filament, a startup that provides IoT hardware and software for industrial applications such as agriculture, manufacturing, and oil and gas industries. Filament’s wireless sensors, called Taps, create low-power autonomous mesh networks that enable enterprise companies to manage physical mining operations or water flows over agricultural fields without relying on centralized cloud alternatives. Device identification and intercommunication is secured by a bitcoin blockchain that holds the unique identity of each participating node in the network.

Telstra, Australian telecommunication giant Telstra is another company leveraging blockchain technology to secure smart home IoT ecosystems. Cryptographic hashes of device firmware are stored on a private blockchain to minimize verification time and obtain real-time tamper resistance and tamper detection. Since most smart home devices are controlled through mobile apps, Telstra further expands the model and adds user biometric information to the blockchain hashes in order to tie in user identity and prevent compromised mobile devices from taking over the network. This way, the blockchain will be able to verify both the identity of IoT devices and the identity of the people interacting with those devices.

IBM, allows to extend (private) blockchain into cognitive Internet of Things. To illustrate the benefits of blockchain and Internet of Things convergence, IBM gives the example of complex trade lanes and logistics whereby smart contracts can follow (and via blockchain technology register), everything that has happened to individual items and packages. The benefits: audit trails, accountability, new forms of contracts and speed, to name a few.

IBM and Samsung introduced their proof-of-concept system, ADEPT, which uses blockchain to support next-generation IoT ecosystems that will generate hundreds of billions of transactions per day.

Onename are creating the infrastructure for blockchain based identities that can be used for humans and machines. This means the blockchain can act like a phone book that lets machines find each other.

Tierion is being used to collect data from industrial medical devices to build a verifiable record of their usage and maintenance history. Tierion is thrilled to be the first partner to join Philips' Blockchain Lab. Together they are exploring how blockchain technology can be used in healthcare.

ConsenSys working with Innogy (a subsidiary of German utility RWE) are exploring how to enable an energy marketplace fed by distributed solar and other electricity-generating devices, which are run using a decentralized power grid.

21.co, Microsoft, Slock.it, and others are working directly with adopters in manufacturing, supply chain management, energy and utilities, agriculture, and construction; distributed ledgers may further automate, secure, and drive new services for these industries.

Blockchain is not the unique silver bullet for IoT security

Given the importance that Security has to fulfil the promise of the Internet of Things (IoT), I wrote Do not stop asking for security in IoT although I did not talk about how blockchain can help secure the Internet of Things. Now with this post, I hope I have corrected that gap.

The existing security technologies will play a role in mitigating IoT risks but they are not enough. Cryptographic algorithms used by blockchain technologies could perhaps be a silver bullet needed by the IoT industry to create a more resilient ecosystem for devices to run on and to make consumer data more private. But blockchain should not be viewed as the unique silver bullet to all IoT security issues considering that today’s blockchain space is even more nascent than the IoT.

Manufacturers, legislators, IoT hardware and software vendors, IoT Service Providers, System Integrators, analyst, and end users, must be aware of the IoT security challenges and focus on increase security efforts to reduce the risk inherent to the fragmented Internet of Things so among all we can accelerate adoption.

In the long term, we should keep dreaming in a fully decentralized and secure IoT using a standardized secure communication model. We must trust this dream will be possible, if worldwide, engineering talent, startups, large companies, and governments increase the investment in time, energy, and money to innovate in solutions that address the IoT’s and blockchain’s shared problems.

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8 Maps of the Internet of Things

Here are seven IoT maps that we have written about on Iot Central. 

Interactive Map of IoT Organizations

IoT and IIOT Cybersecurity Market Map

The Industrial IoT Market Map (IIoT)

Mapping the Internet of Things (Four maps in this one post, plus a bonus in the comments).

Let us know of the maps and resources you use in the comments below. 

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We are living in a century where technology dominates lifestyle;Digital Transformation with Big Data, IoT, Artificial Intelligence(AI) are such examples.
Over the past six months, Chatbots have dominated much of the tech conversation, the next big gold rush in the field of online marketing.
Chatbots are built to mimic human interaction, making them seem like an actual individual existing digitally. It could live in any major chat product (Facebook Messenger, Slack, Telegram, Text Messages, etc.), powered by basic rules engine or NLP and AI.
Chatbots have helped in conversation commerce in real time such as booking a cab or ordering a bouquet of flowers or pizza. Consumers will benefit from chatbots through personalization, and this is where social media plays a big part.

Here are a couple of other examples:
·       Weather bot: Get the weather whenever you ask like Poncho
·       Grocery bot:  Help me pick out and order groceries for the week like Yana, MagicX
·       News bot:  Ask it to tell you whenever something interesting happens like TechCrunch, CNN
·       Personal finance bot: It helps me manage my money better like Abe
A chatbot for an airline will function fundamentally differently from a banking bot.
People are now spending more time in messaging apps than in  social media and that is a huge turning point. Messaging apps are the platforms of the future and bots as over 90% of our time on mobile is spent on messaging platforms like Facebook messenger, Whatsapp, Wechat, Viber etc.
Typically business need to answer following questions to create a bot:
·       Do you need a constant communication back and forth with the consumer?
·       What are customers’ expectations for the interaction?
·       How will the bot act?
·       What happens when the bot fails?
Chat bots have to be great at answering questions, this is usually how they are challenged, and IBM’s Watson is probably the best question and answer system.
There are several advantage of Chatbots:
·       24×7 availability – A bot exists digitally unlike a human being, and can thus be pressed into service continuously without any interference
·       Faster response time than humans, coupled with an AI, chatbot’s machine learning and multi-tasking abilities make it a highly efficient virtual assistant
·       Bots allow for a two-way, personalized interaction between the consumer and a brand
·       Saves Resources – Employing a chatbot to handle basic customer interactions can free up valuable human resources without a decline in productivity
Tacobot Allows to order Taco Bell even more quickly.

KLM has a customer service bot that's able to check your flight status and let you know if it's been delayed.

Interacting with software at a human level is becoming more mainstream from digital assistants  like Google Home, Google Now, Apple Siri. 

Going forward people will not be able to tell the difference between human and machine.
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Here's a quick list of the 6 Best Online Resources for Embedded Firmware. Enjoy!

  1. Reverse Engineering Stack Exchange: "Reverse Engineering Stack Exchange is a question and answer site for researchers and developers who explore the principles of a system through analysis of its structure, function, and operation."
  2. The Ganssle Group: We love Jack Ganssle! He writes, "I'm on a mission to help embedded developers produce better products faster. My newsletter, seminars and the 1200+ articles on this site all give better ways to build embedded products, while maximizing the fun of engineering hardware and firmware."
  3. The Embedded Systems Conference: "Experience the industry's largest, most comprehensive technical conference for embedded systems professionals. Connect with top-level engineers, developers, and decision makers at the forefront of driving embedded systems design. Showcase your latest software design innovation, hardware breakthroughs, hottest IoT solutions, and demo your services in-person to hundreds of attendees with active projects."
  4. Embedded Computing Design: "For the past 30+ years OpenSystems Media (formerly OpenSystems Publishing) has focused solely on the embedded computing market. OpenSystems Media offers balance: taking not only a broad, encompassing look at trends and technologies, but also focusing on certain solutions in-depth."
  5. Embedded.fm Podcast: "Embedded.fm is a site dedicated to the many aspects of engineering. We talk about the how, why, and what of engineering, usually devices. The site includes a weekly audio show created and hosted by Elecia White and Christopher White. Our guests include makers, entrepreneurs, educators, and normal, traditional engineers. The site also includes a blog written by Elecia White, Christopher White, Andrei Chichak, and Chris Svec."
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