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The topic of the evolution of technology over the years is a vast one, and any discussion in this matter is bound to be extensive. For this article, we will narrow down our focus to three products of this rapid evolution: the Internet of Things, cloud computing, and mobile app development. To be more precise, we will discuss the impact of cloud computing and IoT on mobile apps and how they have transformed the latter ever since they first burst onto the scene.


Everyone knows that mobile apps are a crucial part of the digital world that we live in, and their development is bound to be affected by factors in the ecosystem. In this context, there are currently two 'factors' that have been in the limelight -- IoT and cloud computing. Among other things, these two phenomena have had a significant impact on the development process and completely transforming how programmers and companies behind mobile apps go about it.


So, let's jump into it and take a closer look at how the Internet of Things and cloud computing have changed the face of mobile app development.

1. Mobile Enterprise Application Platforms: A mobile enterprise application platform, or simply MEAP, is an IoT tool that is meant to ease support for mobile apps and enable developers to make use of cloud computing. Put, it is essentially an extensive collection of multiple resources and services aimed at helping developers quickly build hybrid cross-device mobile apps. MEAPs also ensure that data stored in the cloud is delivered to different devices without a hitch.


2. Enhanced security: Cloud platforms today come fortified with high levels of encryption along with other modern security measures to make sure that data stored in it as secure as it can be. So, what is the cardinal rule when it comes to mobile apps? Ensure thorough and absolute security! So, with the cloud, companies can administer centralized security. Also, let's not forget that the integration of advanced security measures means that any data transfer is utterly safe and secure, thus further fortifying the cloud's position as a leading and trusted resource for mobile apps. Oh, and did we mention the bonus of security? Thanks to more secure mobile apps, business users are more open to adopting enterprise apps.


3. Cross-platform apps: Considering the growth in popularity of cross-platform apps, it isn't surprising to see that the cloud has had a role to play in this context as well. Such apps are necessarily web apps wrapped in a native container, which, interestingly relies on the cloud for data transmission so they can operate on most platforms available in the market.


There is no doubt that mobile app development is nothing like what it used to, say, a decade ago. However, to ensure the success of the mobile apps you build, it is imperative that you continually stayed clued into the latest trends in the market. It will allow you to deliver A1 apps to the demanding customers of today.

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Drivers are the backbone of the trucking industry and driver retention is one of the biggest concerns. Are you facing issues like driver shortage or driver retention? Advanced technology offers various solutions to transportation industry for such issues. Real-time monitoring, time-saving in shifts, better communication of drivers with managers, etc. simplify the work of drivers. Job dissatisfaction and operational inefficiencies are the major reasons why drivers leave the job. But this can be reduced, let’s see how.

How to improve the job satisfaction of drivers?
Trucking industry relies on the drivers for navigating through complex routes to transport sensitive goods safely and on time. It is a hectic job already and hence it is necessary that the drivers are satisfied with their job. Or else they will leave the job which hampers the business profits. What efforts can be taken for retention of drivers?

Simplifying the Driver’s Work using Technology
Drivers are constantly on the road. Traffic, bad weather conditions, etc. can be very irritating to them. However, using GPS systems, such conditions can be tracked proactively. The drivers can be directed to other routes which are having less traffic or some shifts can be canceled if the routes show bad weathers ahead. The drivers will not be annoyed by waiting for long hours and instead can take rest if the shifts are canceled due to bad weathers.

Automation and digitalization save time and efforts of the drivers. There are mobile apps which keep track of the load on the trucks. It saves the drivers of manual checking of load and also sends messages to the owners about the load. Also, in case of any theft or adding illegal loads to the truck, the owners can get instant messages right on their smartphones.

One such eminent example is the mobile app- Appweigh. It uses Bluetooth-enabled weight sensor to keep the track of the load on your truck. It is a budget-friendly app which combines the sensor and Bluetooth technology. Throughout the shipment of the trucks, the sensors detect the pressure on the tyres and clearly display the weight through AppWeigh on the smartphone of owners or fleet managers. The drivers don’t need to keep manual watch on the weight when the load reaches a certain destination. It is automatically sent to the owners.

Using IoT in Transportation for Better Communication and Time Management
Open communication with the drivers not only ensures transparency but also makes the drivers feel like true partners in the business. It encourages and engages them. Internet of things or IoT in transportation industry is playing a crucial role in connecting technology with people for more accurate results. It connects tools like sensors, RFID systems, GPS systems, smartphones, etc. to each other to gather vital data and communicate it to drivers and owners. Using this data, they can make informed decisions for improving various processes in fleet management. With such transparency, manual errors by drivers can be avoided and small issues can be discussed proactively before they turn into bigger problems.

Technology saves the drivers from keeping manual records of loads, timings, etc. as everything is automatically recorded. It reduces the stress of the drivers and ensures loyalty to the owners.

Making the Driver Health a Priority
Drivers’ health is the most critical topic when it comes to driver retention. A trucking industry can offer health benefits like health insurance plans, nutrition programs, free health screenings, etc. to drivers. Such benefits are an investment in your drivers. Also, the incorporation of smart cameras can reduce the risks of accidents. When the drivers feel safe and cared for their lives, your company reputation improves. They themselves will ask other drivers to join your company.

Giving Performance Incentives and Engaging Drivers
When drivers are appreciated and rewarded for their good work, it inspires them to do better and also be stable with your trucking industry. Financial incentive systems can be used to reward the most productive and safest drivers. Technology can be used to evaluate the drivers’ performance fairly. Real-time coaching and user-friendly solutions to any issues will help the drivers to progress faster and feel supported. The drivers who work hard to improve their performance can be awarded with the performance incentives. This will also encourage and engage fellow drivers. 

 

Conclusion
Smart technologies are providing highly efficient solutions to transportation industry. Along with driver retention, these technologies help in real-time visibility of the processes, maintaining the vehicle health, improving warehouse and yard management, etc. which enormously boost the business profits. IoT in transportation industry provides robust security services to drivers as well as the freight. Reliable data that owners get from smart technical solutions lets them take the right decisions to maintain their workforce. It enhances driver satisfaction and retention rates.

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The range and depth of applications dependent on IoT sensors continues to swell – from collecting real-time data on the floors of smart factories, to monitoring supply chains, to enabling smart cities, to tracking our health and wellness behaviors. The networks utilizing IoT sensors are capable of providing critical insights into the innerworkings of vast systems, empowering engineers to take better informed actions and ultimately introduce far greater efficiency, safety, and performance into these ecosystems. 

One outsized example of this: IoT sensors can support predictive maintenance by detecting data anomalies that deviate from baseline behavior and that suggest potential mechanical failures – thus enabling an IoT-fueled organization to repair or replace components before issues become serious or downtime occurs. Because IoT sensors provide such a tremendous amount of data pertaining to each particular piece of equipment when in good working condition, anomalies in that same data can clearly indicate issues.

Looking at this from a data science perspective, anomalies are rare events which cannot be classified using currently available data examples; anomalies can also come from cybersecurity threats, or fraudulent transactions. It is therefore vital to the integrity of IoT systems to have solutions in place for detecting these anomalies and taking preventative action. Anomaly detection systems require a technology stack that folds in solutions for machine learning, statistical analysis, algorithm optimization, and data-layer technologies that can ingest, process, analyze, disseminate, and store streaming data from myriad IoT sources.

But that said, actually creating an IoT anomaly detection system remains especially challenging given the large-scale nature inherent to IoT environments, where millions or even billions of data events occur daily. To be successful, the data-layer technologies supporting an IoT anomaly detection system must be capable of meeting the scalability, computational, and performance needs fundamental to a successful IoT deployment.

I don’t work for a company that sells anomaly detection, but I – along with colleagues on our engineering team – recently created an experimental anomaly detection solution to see if it could stand up to the specific needs of large-scale IoT environments using pure open source data-layer technologies (in their 100% open source form). The testing utilized Apache Kafka and Apache Cassandra to produce an architecture capable of delivering the features required for IoT anomaly detection technology from the perspectives of scalability, performance, and realistic cost effectiveness. In addition to matching up against these attributes, Kafka and Cassandra are highly compatible and complementary technologies that lend themselves to being used in tandem. Not fully knowing what to expect, we went to work.

In our experiment, Kafka, Cassandra, and our anomaly detection application are combined in a Lambda architecture, with Kafka and our streaming data pipeline serving as the speed layer, and Cassandra acting as the batch and serving layer. (See full details on GitHub, here.) Kafka enables rapid and scalable ingestion of streaming data, while leveraging a “store and forward” technique that acts as a buffer for ensuring that Cassandra is not overwhelmed when data surges spike. At the same time, Cassandra provides a linearly scalable, write-optimized database well-suited to storing the high-velocity streaming data produced by IoT environments. The experiment also leveraged Kubernetes on AWS EKS, to provide automation for the experimental application’s provisioning, deployment, and scaling. 

We progressed through the development of our anomaly detection application test using an incremental approach, continually optimizing capabilities, monitoring, debugging, refining, and so on. Then we tested scale: 19 billion real-time events per day were processed, enough to satisfy the requirements of most any IoT use case out there. Achieving this result meant scaling out the application from three to 48 Cassandra nodes, while utilizing 574 CPU cores across Cassandra, Kafka, and Kubernetes clusters. It also included maintaining a peak 2.3 million writes per second into Kafka, for a sustainable 220,000 anomaly checks per second.

In completing this experiment, we’ve demonstrated a method that IoT-centric organizations can use for themselves in building a highly scalable, performant, and affordable anomaly detection application for IoT use cases, fueled by leveraging the unique advantages offered by pure open source Apache Kafka and Cassandra at the all-important data layer.

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The recent advent of additive manufacturing for printed electronics, for example, has made engineering and design labs game-changing R&D enablers. Engineers will soon find themselves able to quickly, accurately and cost-effectively design and build functional electronics in new shapes with added functionality without having to wait weeks or months to understand whether their smart device works or not. The greater design freedom, compressed project timelines and fully in-house workflows afforded by 3D printing are setting the stage for the long-awaited IoT revolution. These advantages ultimately increase product and cost efficiencies and reduce time to market, meaning consumer can enjoy the benefits of these products faster than ever before.
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Considering that the IoT is in its infancy and due to the last years wasted in predictions that have not been fulfilled, in disappointing statistics of successful projects and with most companies without clear strategies, it is normal to think that R & D is today so necessary for boost and accelerate this increasingly sceptical market.

R&D should be an essential part of bringing innovation to any company via IoT projects. And though we can all agree how important R&D is, it requires a great deal of experience, senior experts, and specific toolsets—resources that not every company can say they have handy.

However, there is a risk when deriving the strategic decisions that the executive directors consider to be technological towards the R & D departments. Many times, oblivious to the reality of the markets, those responsible for R & D with the invaluable aid of the subsidies of the different Administrations, they launch to develop products and technologies for problems that do not exist, just for the fact of obtaining recognition or to continue living without pressures of the Top Management. I am enemy of granted subsidies granted most of the time by unqualified Administration organisms that does not understand that need to prevail the utility, the business model, the business case and the commercialization over the innovation that R & D said to be developed.

Now, if we ask the sellers of IoT technology, products and services, they may not be so happy with the idea of having to talk with the R & D areas instead of with other areas of the company more likely to buy. Most time, R &D departments decide to do it themselves. Vendors know, that with great probability, they will not to close deals due to lack of budget of the R &D or the low visibility of this area by the rest of the departments of the company.

The Importance of R&D for the Internet of Things

Innovation in IoT is a major competitive differentiator. See below some advices to have a decisive advantage over competitors:

  • IoT-focused companies need to invest in R&D to keep up with the rapidly changing and expanding market. It is important that an organization’s R&D iteration turn times are quick, otherwise the company is not going to be able to keep pace with the expected IoT market growth. However, it’s not enough to simply speed up R&D—innovative IoT firms, both start-ups and established companies, must also make sure their R&D processes are extremely reliable.
  • You can’t solve R&D speed issues just by increasing budget.
  • Executives must maintain strong, steady communication with R&D regarding the department’s priorities over a particular time frame and how progress will be measured.
  • Guidelines are invaluable: The more structured and streamlined R&D procedures are, the better IoT companies will be able to move from conception to delivery.
  • Design innovative IoT products but accelerate time to market.
  • Internal collaboration: R&D team should share real-time data across internal departments to spur intelligent product design
  • External collaboration: Connect with customers and partners to ensure success
  • Differentiation: Drive overall business value with IoT.

 

 

Outsource or not Outsource R & D for your IoT project

Just like any other technology, IoT products and solutions require thorough research and development, and it better be done by professionals. Despite the noise generated by analysts and companies around the IoT, the reality is that there have not been many IoT projects and therefore it is not easy to find good professionals with proven experience in IoT to hire.

When I think of Outsourcing IoT projects, Eastern European and Indian companies immediately come to my mind. No doubt because the R & D talent seems to be cheaper there. Spain could also be a country to outsource IoT, but at the moment I do not see it.

The benefits of Outsourcing R&D for IoT Projects:

  • Expertise and an Eye for Innovation
  • Bring an IoT Project to Market Faster
  • Optimize Your Costs
  • Control and Manage Risks

I am not sure about the quality of most of these companies or the experience of their teams in the development of IoT products or in the implementation of IoT projects, but there is no doubt that there are benefits to Outsource R & D for some IoT Projects. You should select any of these companies after a careful evaluation.

Recommendation: Do not stop your IoT projects if you do not have the skills and professionals in house. Luckily, there are companies who offer outsourcing R&D for IoT projects.

Note: Remember I can help you to identify and qualify the most suitable Outsource R&D for your IoT project.

Spain is not different in R & D for IoT

I have not believed in R & D in Spain for years. There are exceptions without a doubt, but it seems evident that the prosperity and welfare of Spain is not due to our R & D. Fortunately we have sun and beach and a lot of brick to put in houses that are not sold because of high prices and low wages.

With the entry into the EU, I thought that we had great markets open to us. I was also optimistic that we would have great opportunities in the Latin American market, thanks to the fact that our research and development capacity would have been consolidated effectively in our companies and universities because it would be profitable and worldwide recognized.

But it has not been that way. The technology developed in Spain and more specifically that relating to the IoT has little chance of being commercialized in France, Germany and not to mention in the UK. If we add the development gap of the countries of South America and that our local market is averse to technological risk, it is difficult to flourish R & D in IoT or Industry 4.0 here in our lovely Spain.

That does not mean that we do not have public R & D budgets for these areas. What happens is that the same thing that happened during the last 30 years has happened. The incentives and aids are few and for the most part used to finance large companies with little return to society. There is no rigorous control of the aid granted and, above all, there is no plan to encourage the local and global marketing of the products developed with the talent of our scientists and researchers.

I have stopped believing and trusting in our successive Governments for the change in R & D but there are exceptions that are worthwhile to follow and work with them. For this reason, I continue help them demonstrate that “SPAIN CAN BE DIFFERENT”.

Key Takeaway

After years of unfulfilled expectations, companies are sceptical of the potential growth of the IoT market or the benefits in their business. R&D department can be a cure to boost IoT initiatives but also a poison to kill IoT initiatives.

 

IoT may have started in R&D, but their benefits don’t have to end there. To drive overall business value, it’s important to share IoT data – both internally and externally. Facilitating open collaboration, discovering new ways to innovate products, and accelerating time to market, you can differentiate R&D and your business.

As fast turn times and reliability becomes a focal part of companies’ R&D processes, these companies will be well-positioned to thrive within the IoT market.

Thanks for your Likes and Comments

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IoT in Secondary Education

Elements of IoT are being shared with secondary students in classrooms all around the world.  My contribution to this educational arena has been toward the design and implementation of IoT curriculum.  My first attempt at such a curriculum was in partnership with a technology camp company called Young Hacks Academy for which I designed their IoT curriculum.  You can see a presentation of the core curriculum here.

I recently revisted the YHA IoT curriculum I developed and am ready for a complete rewrite.  I encourage potential collaborators in the IoT space to reach out to me if interested.  My first effort towards rewriting some of my IoT curriculum is to integrate my CS1 Game Engine, for multiplayer progressive web applications, with IoT components.  At this point I have only written a very basic example which can be seen in the tech demo for the CS1 Game Engine.  I have made a Glitch project for the CS1 Game Engine here.  You can log into the CS1 Game Engine tech demo with username computer or science, both with password 1234.

Please reach out to me if you are interested in raising the bar for IoT in secondary education.

 

Sincerely,

Eric Eisaman

LinkedIn

 

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There is no doubt about the capability of IoT the way it is spearheading in the smart technology market by providing innovative solutions to various industries.


Advanced industries, smart vehicles, smarter cities, smart home and more have already under the influence of the IoT touch. However, IoT in farming is the new trend that has geared up for a while. And why not?

Do you know the global population is growing at a rapid speed. It is about to touch 9.6 billion by 2050. And to feed this much of the population there has to be an innovative way to compensate this need. IoT comes as a silver bullet solution for it.

The way IoT is helping out farmers and farm owners is commanding. The upcoming years are expecting more inventions in farming by different IoT applications.

This article explains the different ways of smart farming and effective applications of IoT in smart farming.

Precision Farming

To make the Farming practice more productive and accurate precision agriculture (also known as precision farming) is used.

Basically, this is done through installing or using some sensors, smart devices, robots, drones, autonomous vehicles, and so on. By doing so farming can be made so systematic and well maintained thereby raising livestock and growing crops in a smart way.

The adoption of access to high-speed internet, low-cost satellites, mobile devices by the manufactures are few mostly used agriculture IoT technologies.

Numerous organizations are leveraging this technology on ultramodern agronomic solutions due to the popularity of precision agriculture.

The soil moisture probe technology is an amazing example of IoT in smart farming. It provides complete in-season local agronomy support, and recommendation to optimize water use efficiency.

Drones for Agriculture

Technology in farming is changing for a good and what better example would it be than Agriculture Drones. Today, agriculture is the leading industry to integrate drones for better results.

Agricultural drones are best to monitor crop, crop health assessment, irrigation, crop spraying, planting , and soil and field analysis.

The prime benefits of using drones in agriculture are health imaging, GIS mapping, saves time, increase crop yields.

Precision Hawk is a company that uses drones for collecting valuable information via a series of sensors. Mostly these sensors are used for imaging, mapping, and surveying of agricultural land.

Drones are used to do in-flight monitoring and observations. The farmers can easily access by entering details of the field they want to survey and select the altitude or ground resolutions.

From the information of the drone, we can draw insights regarding the plant’s health indices, plan counting and yield prediction, and plant measurement. We pressure mapping, drainage mapping, nitrogen content, scouting report and so on.

Livestock Monitoring

Wireless IoT applications are used by the large farm owners to gather the data regarding the location, well-being, and health of their cattle.
This data helps them in identifying sick animals to separate them from the herd thereby preventing the spread of disease. It also lowers the cost off labors as it locates their cattle with the IoT based sensors.

There is a company called JMB North America which offers cow monitoring solution to cattle producers. One solutions let owners of the production company to monitor if the cow is pregnant or not.

Smart Greenhouse

Greenhouse farming is a method which helps in enhancing the yield of fruits, veggies, and crops. Greenhouses control regulate the environmental parameters through manual intervention results in production loss, energy loss, and labor cost. These methods are less effective.

With IoT, you can build a smart greenhouse which will monitor as well as controls the climate reducing the need for manual intervention.

Different sensors that measure environmental parameters according to plant are used for controlling the environment in the smart greenhouse. Additionally, we can create a cloud server for remote access when it is connected using IoT.

The sensors used in IoT provide data on the light levels, pressure, humidity, and temperature. It can control the actuators to open a window, turn on/off lights, controlling a heater, all connected through a Wifi signal. 

Conclusion

Farmers and rancher are relieved to have an IoT agricultural application making it possible to-gather meaning full information. Large landowners should understand the potential of the IoT market for agricultural.

If you are willing to integrate IoT in smart farming, you should approach for Leading IoT App Development Company and leverage the benefits of IoT.

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Picture Courtesy: Pixabay

 

Recently I have attended an IoT conference where three presentations caught my attention:

Presentation 1: Development of IoT. This presentation was held by an IoT expert representing a renowned IT company. He proudly spoke about pioneering IoT projects his company is working on:

(1) A smart house, equipped with sensors from sofa to the main gate, with a notification feature in case of any abnormal activities.

(2) A robot arm which performs a quality assurance test by detecting flaws in a manufactured part and communicating the error via sound or speech. The message delivered: These robots are being taught, by means of AI, to take over the human work. The presentation of these projects elicited a big round of applause as the audience just witnessed the future development of the digitally empowered products and AI. The whole enthusiasm turned into confusion as the second speaker came up with his presentation.

Presentation 2: Disruption of IoT. This presentation was held by a cybersecurity startup company, founded by a couple of ethical hackers, which highlighted the risks of minor security loopholes in almost all IoT applications. The speaker ended most of his statements with “this can ruin the end user or even lead to fatal consequences”. Examples he provided included hacking and manipulating a pace-maker, remote hijacking a plane, manipulating a smart house to cause a false alarm or open the doors, hacking the industrial IoT to manipulate the processes, copying bitcoins and so on.  For those who think that brownfield manufacturing is still an unknown world for hackers: The last 5 minutes of his time, he utilized hacking live into a legacy SCADA system. What the gentleman also stated is that the hackers are always a step ahead of what society thinks the latest development in the field of cybersecurity and that the hackers view each and every sensor as a potential “doorway” to the system sitting behind it.  His presentation left us all questioning the digitalization trend (or opening more doors to the hackers) and associated risks.

Presentation 3: Disruption by IoT. The speaker from a renowned MNC highlighted the upcoming manpower crisis. The creation and operation of IoT applications oftentimes demand a different set of skills. Companies are investing heavily in IoT projects and they are either hiring IT experts or outsourcing the complete development.  This comes at the cost of shutting down entire business units and laying off hundreds of employees. Big organizations term it as restructuring. But the story does not end here. Once the smart machines take over more human jobs, then there will be an era of huge job scarcity. What will the society do with workers (let’s say all with an average age of 50), whose work has been taken over by the sophisticated robots?

I guess I do not have to tell you how these three cases are interlinked. These three presentations gave the audience a good food for thought as everyone was talking about them in one or the other context. The discussion however revolved around one question which I would like to ask here as well:

How much of IoT is too much?

 

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Heavy equipment is mainly used extensively in industries such as construction, oil and gas, mining, forestry, energy, civil engineering, military engineering, transportation, and many others. Industrial heavy machines include construction equipment, wheel loaders, oilfield pieces, manufacturing equipment, earthmovers, hydraulic cranes, bulldozers, oversized trucks, forklifts, and more. Organizations rely on heavy machinery to speed up production and to avoid human errors or health risks.

With developments in IoT, it is possible to decrease equipment downtime while improving the efficiency of the output. Companies that supply industrial machinery and components are seeing strong interest in connected machinery and components which providing many IoT consulting Companies. IoT-powered asset management solutions offer a host of benefits, including predictive maintenance to prevent equipment failure, increased asset reliability, improved asset health, accident avoidance in the workplace, and downtime reduction.

Smart Asset Monitoring with IoT

Safety of personnel and assets, theft or pilferage of assets, accidents and resulting injuries, and bottlenecks in the supply chain are some of the common challenges that are prevalent in asset-intensive industries like manufacturing, utilities, construction. By improving visibility into day-to-day operations, replacing legacy systems with an integrated solution and automating manual processes, many of these challenges can be overcome. 

Digitalization, combining connected devices with IoT-based solutions, can help to overcome these issues. End-to-end clarity on the status of the equipment enables improved decision-making, increases asset reliability, and also improves the people and process efficiency. With the advances in technology, mature organizations have heavy machinery that is computerized, automated and enabled with connectivity and big data analytics, which increases the efficiency of the overall product development process.

Use cases: IoT in heavy machinery management

Let’s take a look at some of the use cases where IoT is transforming the way heavy equipment and related assets are managed.

Smart heavy equipment in warehouse management

Material handling equipment like trucks, forklifts, pallet trucks, and pump trucks are very important for any warehouse to perform daily activities such as loading, unloading, transporting goods to different areas, and picking goods from risky areas. Needless to say, these machines and their operators need to be managed properly to minimize the chances of accidents. Warehouse operators need to take preventive measures for vehicle accidents and injuries that occur while from shifting material, and take proper care while handling hazardous materials.

Today, futuristic warehouses are using driverless robotic equipment to assist in picking and moving operations. Guidance systems like global positioning system (GPS), lasers, and radio-frequency identification (RFID) are used in such warehouses and equipment.

For example, advanced driverless pallet trucks and forklifts are equipped with audible warnings and lights and have built-in sensors to detect obstructions. These sensors come with lasers or camera systems, which are positioned to detect objects and activity from the floor and are able to determine the height and distance around all sides of vehicles and warehouse corners. This makes the equipment intelligent – it knows when to slow down and stop to avoid a collision.

With the recent advances in IoT for warehouse equipment, the market has a new breed of smart forklifts that come equipped with 360-degree detection forklift antenna, which is able to detect when the workers come into forklift zone. When a worker is detected within the predefined danger zone, audio and visual alarms are set off inside the forklift cab to alert the driver. This helps to reduce the risk of injuries and property damage.

Smart heavy equipment in the construction sector

According to a MarketandMarkets report, the heavy construction equipment market size is estimated to grow from USD 121.46 Billion in 2015 to USD 180.66 Billion by 2020, at a CAGR of 7.0%. Depending on the construction application, heavy machines are mainly categorized into four types:

  • Earth moving equipment
  • Construction vehicles
  • Material handling equipment
  • Construction equipment

Wireless technology has a huge impact on the construction industry to provide connectivity for heavy equipment. These machines use technology-enabled devices combined with cloud computing, allowing storage and sharing of data.

IoT is playing a key role in boosting productivity, improving preventive maintenance, minimizing downtime, and reducing repair costs. Sensors integrated with the equipment are able to detect and send automated alerts related to the status of the equipment systems and parts. They can also compile and analyze usage and maintenance data, helping with preventive and predictive maintenance.

 

One of the major problems in the construction industry are injuries caused due to accidents involving people and heavy equipment. As the number of heavy equipment continues to rise, the risk also increases. IoT can help to make the equipment smarter and safer.

Additionally, IoT can help to track assets as they move around the site, or to a different site, ensuring that the assets are never stolen or lost – an ongoing issue on large construction sites that causes delays and decreases productivity.

Smart heavy equipment in transport and logistics

Transportation and logistics businesses want to optimize the supply chain. Many transportation companies are already using mobile devices, such as barcode scanners, mobile computing devices, and radio frequency identification (RFID) to solve challenges related to the supply chain. With RFID, many companies are achieving a high level of shipping and receiving accuracy, inventory accuracy, and faster order processing, along with a reduction in labor costs.

However,  due to drivers’ careless behavior, while driving heavy trucks or conveyors, company owners have to shell out a big amount for accident-related injuries, material loss or shipping delays. By using advanced technology that is capable of monitoring driver’s behavior and delivering alerts in case of possible collisions, the risk of these issues can be minimized.

Computer vision-based techniques and ADAS solutions, with a number of onboard sensors, can help with lane detection, traffic signal detection, driver behavior detection, GPS tracking, fuel management, report generation, notification alert, and predictive maintenance.

Using such solutions, the driver receives support to detect and avoid accidents. It is also possible to monitor a driver operating a heavy machine and automatic alerts can be generated if the driver is sleepy or inactive for a long duration.

Another effective solution for tracking of heavy machines/vehicles is based on installing GPS fleet tracking devices on the vehicles to gain real-time data updates. This is an efficient and secure solution that helps to resolve issues related to operational inefficiencies, theft, and fleet maintenance, increasing the overall productivity of the machines and vehicles.

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When you have the responsibility of ensuring a manufacturing plant is operating at its full potential at all times, talk of “Industry 4.0” and “industrial automation like never before” might be exciting but far-fetched. Industry 4.0 is just an empty phrase used by marketers who want to take your money, right?

Maybe in some cases, but the ideas behind the buzzy terms can actually give you an edge over competitors. Industry 4.0 is not a phase, but it’s also not an obligation that you need to “opt in to” 100% right away.  Industrial automation is a combined result of our greater digital capacities, smarter machines, and improved cross-channel communication that have accompanied the digital age.

In 2019, the technology is here: from decentralized cloud systemsto self-correcting and self-directing machines. However, it’s not everywhere yet, and most plants are simply taking baby steps towards preparing their lines to be as compatible as possible to these new technologies so that they can gradually work their way in. Industry is slowly moving towards a more optimized, efficient, automated structure, but this transition will be happening in the industrial world over the next few decades.

What do those “baby steps” look like? Where should begin to optimize lines in the most cost-effective, long-term ROI benefits?  We have compiled a list of 5 relatively simple ways you can take this year to set your plant up for new “Industry 4.0” industrial automation technologies:

1. Integrate a Single Virtual Server

Managing the IT aspect of your plant is difficult when you need to find cost-effective storage and data processing solutions for your company that also comply with all of the regulations and contingencies of your industry. However, upgrading a server to a virtual option is probably the most important upgrade you can do to get started on the road to future industrial automation applications that use a truly decentralized communication with virtual operating system.

If your plant currently runs exclusively on physical servers, you don’t need to go virtually all at once. The wonderful thing about industry 4.0 is that much of the software integrations available will integrate with your existing hardware. You can invest in one virtual server, and then layer software integrations on to it over time.

By starting with a single server, you can cut costs, maintain a realistic learning/adaptation curve, and try out a virtual server option without committing 100% to a change. There are numerous virtual server options available, so talk to a process automation expert about what server will work best for your plant, and which server to upgrade first.

2. Get Basic Industrial Automation Security – Two-Factor Authentication

With increased adaptability and communication on virtual servers comes increased cyber threats, and unfortunately, there is no way around this. One of the easiest and fastest upgrades you can do for your company is to implement two-factor authentication (2FA) for all employees. A simple password is no longer anywhere near secure enough to protect your employees and your data.

Luckily, everything from Twitter to Cloud servers now offer 2FA options, it’s usually just a question of getting the settings implemented correctly and creating a protocol that requires every employee to use 2FA at all times. It may seem tedious or frustrating at first, but this is a small habit that can make a huge difference in your cyber security and overall functioning of your plant.

3. Make Your Next Machine Purchase a Smart Machine

You probably aren’t yet at the point of having a completely automated assembly line of smart machines that create highly customized orders while communicating with and correcting each other (like the assembly line in this German plant.) However, smart machines do exist, and if you are getting ready to purchase a new machine, finding one that has automation, optimization, and decentralized communication abilities will be a great investment in your plant’s future.

Customizable “smart machines” are virtually independent of a human operator. The ability of these machines to adapt to the demands of individualized production requirements allows for scalable, lean production processes. In other words, with these new machines, you can produce a larger variety of products faster than ever before.

If your current machines are working fine, there is no need to replace them with smart machines right away. But from this point forward, it is a good idea to consider buying a smart machine for your next upgrade. Don’t be afraid to use an automation integrator to advise you on the appropriate machine, technology, and compatibility with existing plant automation systems.

4. Implement Technology Upgrades that Overlay or Automatically Integrate Existing Plant Industrial Automation

Be choosy about the automation products you decide to implement into your current systems moving forward. You want applications that both set your systems up for future technology integrations and help move you away from expiring legacy applications.

This shouldn’t mean replacing all your old applications, programming, and platforms all at once other. Most Industry 4.0 automation tools are created in an “overlay” style, meaning they are created to be able to function on top of your existing processes and are not supposed to disrupt everything you have already built.

Embracing a new software or system should never mean that you have to throw away your existing processes and start from scratch. If this is how you feel when you are getting ready to purchase a new software, machine, or server then it probably isn’t the right product for your company.

Talking to an expert about what products will work best with your current setup is a good idea before making any changes to your industrial automation. At my company, EPIC systems, we've seen the difference that selecting the right product solutions has made for hundreds of process automation projects — it's a key step for any manufacturing plant. No matter who you work with, you don't want to bypass this step.

5. Optimize One of Your Plant’s Processes

Divide and conquer, as they say. Just as it is best to upgrade one server at a time, it is helpful to focus specifically on one plant process at a time when you are looking to optimize and automate your plant.

This could mean focusing on optimizing your shipping procedure or optimizing one assembly process. The important thing to remember is that as you do this “experimental optimization” you are not just looking for an impressive return on investment, you are also looking to get your entire team comfortable with the automation and ready to embrace even more. This is why the “how” is just as important (if not more important) than the “what” when it comes to choosing a process to optimize. Go slow, be transparent, and include everyone in the process so that it is a success all around.

Industry 4.0 is creating a world where employees can delegate mundane tasks to smart machines and rely on highly communicative, agile systems in order to work faster and more effectively than ever before. There is no reason for any manufacturing plant to be left behind in this industrial evolution, with numerous products and services available to help walk you through the industrial automation process gradually and intelligently.

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Guest post by Jason English, Principal Analyst, Intellyx

Surely you’ve caught some of the excitement about drones for enterprise use. Packages and communications delivered to the world by these ultimately mobile IoT fliers. Heavy VC investment in commercial and supply chain drone applications could drive this sector to be worth as much as $13 billion by 2020.

We all remember Amazon teasing a drone-delivery future in this now-famous ad from 5 years ago. But there’s no way the online retailer will corner this game. Expect drone delivery research to advance quickly at leading transportation firms like FedEx, UPS and DHL. Uber Eats might even have drones fly over some sushi for engineers too busy for lunch.

But could drones possibly become passé for widespread business use before they can even get out of the hangar?

Drones are the ultimate IoT play for enterprise

Of all the interesting ‘things’ in the commercial IoT continuum, from geo-location tags in trucks and packages, to remote cameras, factory robots, smart sensors and controls, power meters, wearables and medical devices, nothing captures our imagination quite like a drone.

In a sense, drones can let our productive work ‘slip the surly bonds of earth,’ with the ability to move anything, and see anything, almost anywhere in the world. It gives businesses a flock of birds to command, rather than the two-dimensional constraints of surface dwelling gadgets and robots.

Take the telecommunications industry. The ability to dispatch a maintenance drone to inspect and verify the equipment on a relay tower can save a human technician a risky and time-consuming day trip up the pole for a visual inspection, improving service efficiency while reducing insurance premiums.

In many cases, the drones are even replacing telco network infrastructure themselves, maintaining a tethered position to provide communication services or wi-fi coverage services to the ground below, especially in emergency outage conditions. Facebook killed its ambitious Aquila project to expand global internet access last year, but that isn’t stopping other regional and private drone network programs.

For oil and gas, or just about any industry that involves surveying or inspection, the value of drones with advanced cameras is self-evident. Real estate firms now commonly provide dramatic flyover footage of for-sale properties, for epic establishing shots, without the epic budget.

Big agriculture is getting in on the game, exploring inspecting, seeding and possibly even spraying or weeding large crop fields with unmanned farmer drones.

And of course, for logistics and delivery services, the needle is moving. A UPS pilot program employed drones atop trucks to more efficiently handle actual doorstep delivery of packages, potentially saving the cost of untold hours of truck drivers stopping and getting out of their brown van for each package.

No drone zone - Sedona AZAre drones a nuisance, or a security menace?

I recall swimming on the serene shores of Lake Kachess here in Washington a few years ago with family and friends, miles from civilization and its accompanying noises, when an electric-razor whirring sound broke the spell of nature. A hobbyist from another campsite was buzzing us.

The kids thought it was pretty cool, but I didn’t appreciate it. What if it runs out of batteries, or flies out of range of the controller while overhead?

As drones started dropping to consumer-friendly price points, I started seeing ‘No Drones Allowed’ signs in National Park sites like Sedona, Arizona, Crater Lake, Oregon, and at Snoqualmie Falls near my house (the site famous for the ‘Twin Peaks’ show exteriors). Certainly a few disruptive drone hobbyists caused such a response.

In entertainment, drones are often associated with less-than-desirable government uses of military and surveillance activity. Hollywood films often place spy drones in the employ of authoritarian antagonists and put killer drones under the joystick of covert operations teams.

With the miniaturization of electronics and ever-improving transmitter capabilities in a lightweight package, many drones have also proven easily hackable, and detailed specifications and software mods are readily available on the Dark Web for the mischievous.

Drones are also quite effective as mobile hacking platforms — in essence they are flying laptops after all. Drones can remotely sniff for network packets without a hacker needing to step onto the target’s corporate campus.

Not the best PR for this category of IoT devices.

Flying through FAA guidelines

Fortunately, the FAA has been closely regulating and tracking the use of drones (or UAS – ‘Unmanned Aircraft Systems’ as they call them) from the start, and have implemented measures such as a 5-mile ‘no fly zone’ for drones around sites such as airports, and requiring any operator of a drone more than 0.55 pounds (most of them) get a specific license to fly.

Clearer guidelines certainly help, and lead to more responsible use of the technology. For their part, the FAA says they don’t want to inhibit innovation and commercial use of UAS, and based on news in drone industry journals like InterDrone, the agency is partnering with business operators to consider input on guidelines for situations such as night flight and flying over people.

Who’s Taking Down Drones?

I didn’t know this before I started writing this story, but it is actually illegal to shoot down drones in the United States — even if they venture onto private property — as much as I would expect some sort of ‘Castle Law’ to allow it in this gun-lobby-controlled nation. Drones are afforded the protections due any other commercial aircraft under Federal law.

So, short of the shotgun approach, who is taking down drones today?

  • Regulators. Most democratic nations seem to be fast-tracking commercial use approvals, in order to encourage additional innovation in the space and stay up to speed with the rest of the world. That said, expect new rules and licensing guidelines to develop.
  • Hackers. Certainly the strongest threat to commercial use of drones lies in the ability for determined saboteurs to intercept or interrupt control of these devices, which are optimized for performance and range, rather than encryption and security.
  • Organized Labor. Remember that UPS drone pilot program? Well-organized workers took issue with having much of their work automated by drones. Companies will need to consider the human side of their existing business when implementing drone programs.
  • Eagles. Yes, Dutch law enforcement officials developed a program to use the actual birds of prey, not the classic rock band, to snatch suspicious drones right out of the sky and ground them. How cool is that?

The Intellyx Take

Setting all the fun toys, military stigma, and regulation uncertainty aside, I expect commercial drones to become rather commonplace in the next five years, working alongside us — or, above us.

As drone technology improves, production costs will come down, while better sensors, IoT cybersecurity measures, and even onboard AI will come into play to make them a safer and situationally aware part of the automated fabric of many companies.

They’ll never be right for every kind of work though. Drones will need to expand and enhance the abilities of our human workforce to maintain strong support in the enterprise. In the end, businesses will still need to perform an objective cost-benefit analysis to determine where drones are best fit for purpose.

Then, let ‘em fly. Just don’t tell Rambo the Drone-Killing Ram.

©2019 Intellyx LLC. Sharing or reprint of this work, edited for length with attribution is authorized, under a Creative Commons Attribution-NoDerivatives 4.0 International License. At the time of this writing, none of the companies mentioned above are Intellyx customers. Image credits: No Drone Zone, Cococino National Forest; Drone, Witolt Wacshut; CC 2.0 license, Flickr.

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There is no overstatement in the saying that that Internet of Things (IoT) is reshaping business processes and workplaces in a never-before way. Connected devices are increasingly pushing the boundary of innovation for the enterprises and industries of all niches. Thanks to these connected devices and a huge upsurge of IOT mobile app development, consumers are being benefited most through frictionless user experience.

No wonder in the fact that the IoT software development is exploding with all possibilities and promises. Just like ever before, the market is brimming with a whole array of scalable, feature-rich, secure and user-optimized connected solutions that are transforming the way we interact with devices and use software solutions at the workplace.

In spite of such huge promise and possibilities, IOT software and app development faces some hefty and crucial challenges that developers of the present-day need to be aware of. Here we are going to explain some of these challenges in brief.

  • Operating System (OS) Considerations

The first technical challenge and pulling factor that IOT app development companies need to deal with is the consideration of the operating system of the devices. Since IOT devices have mostly shorter memory capacity and a single track operational capacity, developers need to approach the development challenges for such devices in a different way than with the desktop solutions. The developers need to pick an OS that perfectly fits the device capability and the objective of the application.

As of now, most of the IOT developers surveyed for their OS preferences have clearly chosen Linux. Linux according to most IOT developers, offers the perfect OS for IOT devices with a lot of memory constraints, microcontrollers, and IOT gateways.

  • Selecting the Gateways

The gateways in the IOT landscape plays the most critical role by connecting almost all the constituent elements ranging from connectivity protocols like Wi-Fi or Bluetooth, ports, IOT sensors, cloud systems, etc. Naturally, for the whole IOT ecosystem gateways really play the mission-critical role. 

When it comes to the choice of appropriate gateways for your IOT application, you have several well-known choices from renowned technology companies like Dell, Nexcom, Intel, etc. These gateway providers as if now are proved to be highly effective for end number of applications. Some of the key aspects that you need to consider in gateways include the particular specifications for the network, supporting development environment, power rating, memory capacity, etc.

  • Security & Privacy

One of the key aspects that IOT app developers should give utmost priority is the app security and privacy. The security here not just refers to the network security but practically security of every different component. As IOT devices penetrate the personal spaces of the users, they are often vulnerable to misuse and breaching of data security through cyber-attacks.

Maintaining optimum data security and safeguarding privacy are two aspects that always remained to be the contentious areas for the IOT app developers worldwide. Let us have a closer look at various security aspects of an IOT app.

  • Data Exchange Security: The data generated through an IOT app through the IoT sensors and devices pass through the gateway and is finally stored at the cloud server. To ensure optimum security to this data it is important to use encryption for safeguarding the data.
  • Physical Security: The IoT devices unlike other computing devices are normally used in private and remain unattended most of the times. This is why they remain vulnerable to a lot of security threats from hackers at the device level.
  • Cloud Storage Security: A cloud storage solution normally remains secure from threats and intrusions. Even then, the developers of the IOT apps need to make sure that the data in cloud storage remain safe and secure.
  • Privacy Updates: To protect the privacy of the user data processed and fetched by IoT devices, there need to be certain compliance rules. For instance, all fitness tracker devices collect user data on the basis of HIPAA guidelines. Such regulations and compliance standards basically safeguard the privacy of the user data.
  • Network Connectivity

The quintessential aspect of IOT app development is the fast and real-time data transmission between the device and the IOT gateway and the gateway to the cloud server. Poor connectivity will only render most of the critical app features to be ineffective. The connectivity issues and server breakdown still remain to be the major problems for too many IOT devices.

Actually, connectivity remains to be the first and foremost area of importance for connected devices that work hand in hand with gateways and cloud platforms. For meeting this challenge corresponding to connectivity with appropriate measures, the app design and device app environment play an important role. The connectivity solution should be considered as per the device constraints and capacities.

  • User-Optimized App Design

Another major focus area for IOT app development should be on the app design. The app design should be thoroughly intuitive and user-focused so that the users do not need to study manuals for using an IOT device. Even for industrial IOT devices, simple and clean design is extremely important to ensure faster decision making and visualization of the data. In this respect, close and mutually reciprocating cooperation between the developers and designers is a must for building IOT apps. Some of the key attributes that design inputs should ensure include the following.

  • Safe and secure user authentication
  • Frictionless transition across devices and applications
  • Personalized user experience based on user behavior and preferences
  • A consolidated IOT environment comprising all the elements in the pipeline.

 

  • Cross-Platform Deployment

Last but not least of all the major challenges that IOT app developers must deal with is deploying the app across multiple OS platforms. Since the IOT ecosystem comprises of a variety of device architectures, protocols, and operating systems, the app should be built to fit with all these variables for a seamless and efficient performance. This is why experts of international organizations such as the Engineering Task Force (IETF) and the Institute for Electrical and Electronic Engineers (IEEE) have already come up with explicit cross-platform development standards and architecture models to help smooth deployment across multiple OS platforms.

Conclusion

In spite of the overwhelming growth of the IOT applications and the ecosystem of connected devices, there is a multitude of challenges that the IOT app developers need to encounter regularly. By focusing on these challenges beforehand, they can at least take appropriate precautionary steps to ensure optimum quality and efficient output.

 

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In 2016 in my article “ The future of “The Internet of Olympic Games”, I considered Rio as the first Internet of Things (IoT) Olympic games. In Rio we could see how athletes, coaches, judges, fans, stadiums and cities benefited from IoT technology and IoT solutions and somehow changed the way we see and experience sports. Next year we will have opportunity to verify if my predictions for Tokyo 2020 will become a reality and we will name Tokyo as the first Artificial Intelligent (AI) Olympic Games.

During my presentation in Dubai, I explained the audience the incredible way IoT and AI technologies are impacting sports. I dedicated some time explaining how IoT and AI are playing an increasingly significant role in boosting talent, managing health and improving coaching and training. Today these technologies are already enabling athletes to improve performance, coaches to better prepare games, judges to fail less, fans enjoyed with new excited experiences. I also remarked the importance that teams clubs and cities collaborate to make the stadiums more secure and more exciting for fans.

I emphasized how we are creating smart things, the importance of use AI and IoT to make every thousandth of a second count for athletes and coaches and how AI and IoT are used to predict the future of a race, a match or a bet.

I introduced different examples how all sports are using IoT and AI, and of course I share my vision in 10-15 years from now. Can you imagine integrated virtual and real world for sports? Can you imagine mixed teams of robots and humans or super-humans playing new games?

I did not forget to talk about the challenges involved in building machine learning models in sports and the challenges that IoT and AI still have.

I used my speech to raise awareness to the attendants that there is also a dark side in these technologies. We cannot forget that Sport is also a business and therefore enterprises, Governments and individuals can make a wrong use of these technologies.

In summary, it was a great session in which I shared my point of view about:

  • How we want IoT and AI transform coaches, athletes, judges and fans.
  • How we want IoT and AI continue attracting people to the stadiums
  • How we want IoT and AI transform Sport Business.
  • How AI is changing the future of sport betting?

How we want IoT and AI transform athletes, coaches, judges and fans?

Athletes

While the true essence of sport still lies in the talent and perseverance of athletes, it is often no longer enough. Therefore athletes will continue demanding increasingly sophisticated technologies and more advanced training techniques to improve performance. For instance, biomechanical machine learning models of players will predict and prevent potential career-threatening physical and mental injuries or can even detect early signs of fatigue or stress-induced injuries. It can also be used to estimate players’ market values to make the right offers while acquiring new talent.

Coaches

Coaches are using AI to identify patterns in opponents’ tactics, strengths and weaknesses while preparing for games. This helps coaches to devise detailed gamelans based on their assessment of the opposition and maximize the likelihood of victory. In many leading teams, AI systems are used to constantly analyze the stream of data collected by wearables to identify the signs that are indicative of players developing musculoskeletal or cardiovascular problems. This will enable sports teams to maintain their most valuable assets in prime condition through long competitive seasons.

Judges

We tend to think that technology helps make the sport more just when we are victims or witnessed of unjust decision. That´s why we approve inventions like Paul Hawkins - creator of Hawk-Eye, a technology that is now an integral part of the spectator experience when watching sport live or more recently VAR in soccer.

The use of technology allows watch in real time multiple cameras, with aggregated info from sensors (stadiums, things and athletes) to make their decisions more accurate and objective.

We as spectators or fans need more transparency about the exercise’s difficulty, degree of compliance and final score. And we have the technology to do it.

The IoT and AI technology doesn't claim to be infallible - just very, very reliable and Judges also need to be adapted to new technologies.

Fans

Without fans, sports would find it difficult to exist. It is understandable companies are also targeting fans with IoT and artificial intelligence to keep them engaged whether in the stadium or at home.

How we want IoT and AI continue attracting people to the stadiums?

Within the stadiums, sports clubs and many leagues across the globe are incorporating inside and outside the stadium technologies to boost fans unique experiences for fans and not only the 90 minutes.

The challenge is how to combine what the oldest and newest supporters are looking to attend to the stadiums?

How will the stadiums of the future be? I read numerous initiatives of big clubs and leagues, but I am exciting about the future stadium of Real Madrid. I wish the club would allow me to advise them how to create a smart intelligent Global environment to provide each fan with an individual experience, know who is in the crowd, learn fan behaviors to anticipate their needs

How we want IoT and AI transform Sport Business.

“As long as sports remain a fascination for the masses, businesses will always have the opportunity to profit from it. As long as there is profiting to be gained from the world of sports, the investment in and incorporation of technology for sports will continue.”

I read an article warning about the new entirely new world order that is being formed right now. The author explained how 9 companies are responsible for the future of AI. Three of the companies are Chinese (Baidu, Alibaba and Tencent, often collectively referred to as BAT), while the other six are American (Google, Amazon, IBM, Facebook, Apple and Microsoft, often referred as the G.Mafia). The reason is obvious, as far as AI is about optimization using the data that’s available, these 9 companies will manage more of the sport data generated in the world.

Collaboration is needed now to stop this danger and to address the democratization of AI in sports. It is urgent companies and governments around the globe to work together to create guiding principles for the development and use of AI and not only in Sports. This mean we need regulating it but in a different way. We do not want AI becomes in the hands of a group of lawmakers, who are very well read and very smart people but overwhelmingly lack degrees in AI and IoT.

Will AI change the future of sport betting?

The impact of technology on sports cannot be specifically measured, but some technological innovations do raise questions about fairness. Are we still comparing apples with apples? Is it right to compare the speed of an athlete wearing high-tech running shoes to one without?

Whether we like it or not, technology will continue to enhance athlete performance. And at some point we will have to put specific rules and regulations in place about which tech enhancements are allowed.

There is a downside to advanced technology being introduced to sports. Machine Learning models are now used routinely to predict the results of games. Sport betting is a competitive sport itself among fans, but AI can substantially tilt that playing field.

I analyzed many IoT and AI companies for Sports in order to prepare my session. I am scare about the game result predictions capabilities but more scare about the manipulation of competition using AI algorithms with the Terabytes of data collected daily from IoT devices and other sources like social media networks, without the permission of the users.

The sport business market is generating billions of US$ every year but without control and education we could find future generation of ludopaths and a small number of Sports Service Providers controlling the Sports.

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Do you know that the number of internet connected things will reach 75 billion in the year 2025 as per the reports released by Statista? Well, the report is not astonishing because we are well familiar with our day-to-day dependability on internet and technology.

 

Source: Statista

It is definitely not a sham that we can actually set the temperature of the air conditioner before actually entering the room. Or, can switch on or off the fan or other electronic devices through our smartphone. Things that were dreamt earlier now turned into reality and it is all possible with the Internet of Things or simply IoT.

What are Future Possibilities of IoT?

‘What is IoT’ is the most asked questions about the technology. It is the use of network sensors in physical devices to allow for remote monitoring and controlling. It has achieved massive grip in various fields like healthcare, banking, retail, manufacturing, consumer goods, etc. Businesses all over the world are looking for possible applications of IoT. Report by CSG quotes that ‘94% of businesses that have invested in IoT have already seen the return’. The report itself expounds the present and future of IoT.  

There is one very astonishing report about IoT by GSMA . It states that the US market doesn’t dominate IoT. China and Europe are ahead of the USA in global machine-to-machine connection (M2M) with 19% in total share. USA market and investors still have a great scope for IOT solutions.

Common Myths that are Veiling IoT

#1 IoT is About Consumer Devices and Connected Homes

User’s mobile being connected with the refrigerator or air conditioner can be one assumption when we say IoT but the reality is far away from this. Definitely, IoT has solved many daily purposes but B2B IoT is the desire of technology. Analytical prediction by Bian.com tells that B2B IoT segment will generate more than $300 billion by 2020 as compared to $150 billion of consumer applications.

#2 All IoT Devices Work Together

Devices that are connected with IoT works as per vendor protocols. Some vendors may allow direct access to the device whereas some may provide access to the information through a cloud interface. As a result, there is not always a surety that all connected devices will work together.

#3 IoT Provides Continuous Transition to Mobile Apps

As IoT runs on cloud there is a myth that there is limitless scope for the developers. IoT is the combination of cloud, big data, and connected devices. Still, more than 90% of big data is in a scattered form that makes the overall transition complex.

#4 IoT Will Lead to Rise in Machines

Whether it is the movie Terminator or any other sci-fi movie, they always targeted technologies like IoT. People have generated the mind-set that IoT has increased the dependence of machine in human life. But the reality is IoT is making the devices smarter. It just adds like the fuel in the fire. It provides the capability of devices to take the decision on their own. For example, a device that will examine the field and would detect the area where watering is required is one thing. But, the same device watering the required area is the specialized feature. This is the impact of technology.

#5 IoT is Not Safe to Use

The safety concern is another big myth that surrounds the world of IoT technology. There are people who believe that the connected devices would enhance security concerns as they have access to the complete database. This is wrong because IoT aims in making the life of users simple by delivering faster results with cognitive computing. So there is nothing like sharing database.

#6 IoT is All about Sensors

People have the belief that it is all about sensors and things. But the reality is that it is beyond that. There are gateways, hubs, repeaters, cloud, application, software that is managed and supported by IoT. So, the world of IoT is bigger than what people think of it.

#7 IoT Device can be Hacked Remotely

Not locally nor remotely the IoT device can be hacked. Apart from SSL and encryption of data, there are countless other services on which the connected devices work. Not everything in IoT solutions can be hacked. Only a few vulnerabilities are there to work on.  

#8 IoT Solution can be Delivered Easily

As there are open source tools used in IoT people believe that the solution can be delivered very easily. There are many vendors that are selling IoT solutions. Providing solutions and services are two different things. Creating an app and creating complete IoT solution are two different things. There are different critical stages to deliver a meaningful solution that would be business viable, technically feasible and would make sense for customers.

#9 IoT Devices Must-Have Wireless Security

In order to connect with the host in the cloud, router or peer IoT device need some level of connectivity. But, it is not always necessary that the device should be wireless. It can be connected through Ethernet or USB whatever the device supports.

Business Tips for Investors Looking forward to Capitalise in IoT Technology

Technology that creates buzz one day becomes redundant. Businesses that are looking forward to investing in IoT must know about the challenges that they can face. Here are the few best tips that will help investors to make the right selection.

Choose Mode of Connection Wisely: Depending on the specific requirement businesses need to decide on the mode of connection that would be used. Whether it is Bluetooth technology or Wi-Fi choose the one that solves your purpose of technology.

Hardware Compatibility with Technology: Hardware compatibility issues happen frequently with IoT technology. It is necessary to find out if the technology is compatible with the hardware you are selecting or not.

Platform: In functionality and concerns both Apple and Google differ from each other. You should have a clear line of sight before you finalize a platform and should know well about the compatibility of the technology with the platform.

IoT Framework: There are many security aspects of IoT that came into existence till date. In order to avoid any kind of plights, it is suggested that building a framework from scratch is the best possible solution. Doing so one may skip the security issues as faced in the previous framework if any.

The Bottom Line

Businesses are looking forward to  iot development because they are aware of the bright future of technology. But, there are myths that block their path. Definitely, the debunked myths will aid the investors to make the right decision. Many software development companies provide 30 minutes of free consultation for those who are keen on the tech. Users can contact them and clear all their doubts regarding the technology.

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E-commerce, much like every product of technological evolution, has made headway at a mind-boggling pace. Here are some stats that will help you gain a better perspective on this industry: e-commerce sales stood at $1.86 trillion in 2016. Also, researchers believe that this figure will grow up to $4.48 trillion in two more years, i.e., by 2021. While multiple factors contribute and continue to drive this fast-paced growth, there is no one that not many people pay close attention to the Internet of Things.

IoT has quietly revolutionized the e-commerce market by facilitating significantly better logistics as well as an enhanced user experience. It isn't surprising though -- especially when you consider the fact that over 30 billion devices are set to become 'connected' by next year. A constantly growing network of such devices means IoT has helped e-commerce businesses to not only deliver better products and services but also achieve better outcomes with their marketing initiatives and enhance customer's overall experience among other things.

Here's a closer look at what IoT means for e-commerce and how it enables companies in this sector to achieve robust growth.
1. Better inventory management: Managing inventory is an understandably challenging task when there are multiple warehouses involved. IoT has tackled that issue with the provision of things such as 'smart' shelves, which track the products sold and automatically place orders when products, especially high-performing ones, are about to go out of stock. It, in turn, boosts the levels of customer satisfaction.

2. Transformed consumer experience: IoT allows companies to leverage devices such as smart mirrors to allow clients to try out their products from the comfort of their home, thus delivering completely novel and distinctive customer experience. IoT can also be used to glean insights from social media platforms to understand which of the company's products are preferred and if there are any issues customers face. Implementing such data facilitates a deep shopping experience, resulting in better customer engagement as well as satisfaction.

3. Enhanced product ecosystem: Sensors, a crucial part of the phenomenon that is IoT, can be utilized to foster new opportunities for better product ecosystems. Furthermore, it can be used to provide customers with access to maintenance services or perhaps even recommending related products and services once the sale has been made.

4. Seamless delivery: Bigwigs from a broad variety of industries, including Amazon, are already using IoT to streamline their delivery processes. How? For starters, there are autonomous warehouse robots, which can be integrated with the business' warehouse management systems and then used to enhance order picking throughput, improve the warehouse's inventory density, and cut down labor costs among other things. All of these factors, together, help ensure a substantially more organized delivery system.

While IoT has already changed the face of the e-commerce industry, in the future it will further enable companies to better their marketing efforts, deliver better support to customers, and more, resulting in superior experiences for customers. So if you too want to jump on this bandwagon, we suggest you select a trusted e-commerce websites development company at the earliest possible.

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At differnet layers, IoT and connected devices uses different communication and messaging protocols. While developing an IoT device, the selection of the protocol largely depends on the type, layer and function to be performed by the device. 

In today’s time, networking with smart devices and IoT is increasing largely due to the ongoing technological revolution across the globe. People are increasingly using IoT and connected devices to automate industrial operations, control city traffic, track health, control home appliances, manage the fleet of vehicles, etc. Smart devices like phones, wearable devices, kiosks, appliances, and automobiles use the internet to connect with other devices and exchange information and data with servers to perform different operations.

There are two ways these devices can connect to the internet. Some devices may connect through a gateway, while others may have network capability built into the devices itself. It is interesting to note here that for establishing the connection with the internet, these devices use messaging and communication protocols at each layer of the Open Systems Interconnection (OSI) model. Depending on the function of the device, the communication protocol at each layer varies.

When it comes to selecting a protocol for the application layer of the IoT system, there are several protocols available. However, the most common types of IoT application protocols include, MQTT, XMPP, DDS, AMQP, and CoAP.

MQTT (Message Queue Telemetry Transport)

MQTT is a machine-to-machine (M2M) protocol. It is a publish-subscribe-based messaging protocol, used to communicate device data to the servers. The main purpose of MQTT is to manage IoT devices remotely. It is mainly used when a huge network of small devices needs to be monitored or managed via Internet i.e. parking sensors, underwater lines, energy grid, etc.

It should be noted that not all control packets have the variable headers and payload. A payload can be up to 256 MB. The small header overhead in MQTT makes this protocol appropriate for IoT.

Pros:

  • Lightweight for constrained networks
  • Flexibility to choose Quality of Services with the given functionality
  • Standardized by OASIS Technical Committee
  • Easy and quick to implement

Cons:

  • High power consumption due to the TCP-based connection
  • Lack of encryption

Use Case:

A parking lot where there are a number of parking sensors installed to identify the number and location of empty or vacant parking spots.

XMPP (Extensible Messaging and Presence Protocol)

XMPP was originally developed as a messaging protocol known as Jabber. It uses an XML format for messaging. The main feature of this protocol is its addressing mechanism. It identifies the devices/nodes in the IoT network using the address known as Jabber ID (JID). JID follows the standard i.e. [email protected] This addressing mechanism enables two nodes to exchange information, regardless of how far the nodes are in the network.

XMPP messages are usually transmitted over the underlying TCP connection. It uses a polling mechanism to identify the destination of the message. XMPP is implemented using a client-server architecture. The client starts an XML stream by sending an opening <stream> tag. The server then replies with an XML stream back to the client. Since XMPP is an open protocol, anyone can have their own XMPP server in their network without necessarily connecting to the internet.

 

Pros:

  • Addressing scheme to identify devices on the network
  • Client-server architecture

Cons:

  • Text-based messaging, no end-to-end encryption provision
  • No Quality of Service provision

Use Case:

  • A smart thermostat that can be accessed from a smartphone via a web server.
  • A gaming console with instant messaging between the two online players.

DDS (Data Distribution Service)

DDS is also based on a publish-subscribe model. DDS connects the devices directly, unlike MQTT, which connects them to the server. This is why DDS is faster than MQTT. Apparently, it can deliver millions of messages to a number of different receivers in seconds as it eliminates the communication with the server. DDS can be utilized for providing device-to-device communication over the data bus.

It provides detailed Quality of Service and reliability.

Pros:

  • Based on a simple “publish-subscribe” communication paradigm
  • Flexible and adaptable architecture that supports “auto-discovery” of new or stale endpoint applications
  • Low overhead — can be used with high-performance systems
  • Deterministic data delivery
  • Dynamically scalable
  • Efficient use of transport bandwidth

 Use Case:

Military systems, wind farms, hospital integration, medical imaging, asset-tracking systems and automotive test and safety.

 

AMQP (Advanced Message Queuing Protocol)

Advanced Message Queuing Protocol (AMQP) is an open standard application layer protocol for sending transactional messages between servers. As a message-centric middleware, it can process thousands of reliable queued transactions.

AMQP is focused on not losing messages as messages can be transferred using TCP or UDP. The use of TCP provides a reliable point-to-point connection. Further, endpoints must acknowledge the acceptance of each message. The standard also describes an optional transaction mode with a formal multiphase commit sequence. True to its origins in the banking industry, AMQP focuses on tracking messages and ensuring each message is delivered as intended, regardless of failures or reboots.

Pros:

  • Messages can be sent over TCP and UDP
  • Provides end-to-end encryption

Cons:

  • Relatively high resource utilization i.e. power and memory usage

Use Case:

AMQP is mostly used in business messaging. It usually defines devices like mobile handsets, communicating with back-office data centers.

CoAP (Constrained Application Protocol)

CoAP is an application layer protocol with a client-server architecture. It is a document transfer protocol, which runs over UDP (User Datagram Protocol). It is specifically developed for the resource-constrained devices. Clients and servers communicate through connectionless datagrams. It is useful in low power application as it uses minimal resources. DTLS (derivation of SSL protocol) can be used for security of the messages.

 

Pros:

  • Use of DTLS for security
  • Fast device-to-device communication
  • Smaller packet size
  • Well-designed protocol

Cons:

  • No broadcast message facility as it is a one-to-one protocol
  • Reliability is application’s responsibility

Use Case:

Smart energy grids and smart homes.

Conclusion

All the above-listed protocols are uniquely applicable to different operating scenarios. Any protocol can be handpicked based on their pros and cons for IoT application development. The main factors to consider while choosing any one of them for your application is quality of service, security, and reliability your application requires.

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A new wave of technologies, such as the Internet of Things (IoT), blockchain and artificial intelligence (AI), is transforming cities into smart cities. Many of these cities are building innovation labs and zones as part of their new civic landscape. Smart city innovation labs are vital components of the smart city ecosystem (Figure One). They provide an organized structure for cities, communities, experts, and vendors to come together to create solutions. Successful solutions piloted in smart city innovation labs are then scaled and deployed into a city’s operations and infrastructure.

Figure One. Strategy of Things Smart City Ecosystem Framework.

 
Many municipalities are considering and planning smart city innovation labs today. Over the past year, we helped to create, launch and operationalize San Mateo County’s Smart Region innovation lab (SMC Labs). From this experience, we share ten best practices for civic innovation leaders and smart city planners.
 
 
Ten Smart City Innovation Lab Best Practices
 

Develop a well defined innovation sandbox. Every smart city innovation lab has an unique mission. That mission is specific to its community, capabilities, priorities, and surrounding ecosystem. However, it is easy to get distracted and work on the “next shiny object”, vanity projects and “me too” innovation pilots. These projects don’t add value, but take resources and focus away from the problems the lab was created to address.

Build innovation discipline and focus by defining a “sandbox” from the start and updating it annually. The innovation sandbox defines clearly what types of projects are in-scope and which ones are not. The criteria includes alignment with city or department priorities, problem set type, problem owner(s) or sponsors, budget availability, cost, resource requirements, and organizational jurisdiction.

 

Create procurement policies and processes for innovation projects. Innovation pilots fall outside the “sandbox” municipal procurement processes and policies operate in. These pilots may work with start-ups with limited operating history, use immature and evolving technology, or bought in non-traditional ways (“as a service”, loans, etc.). This mismatch leads to higher risks, extra work and long sourcing times. Due to this, many vendors choose not to work with cities.

Effective smart city innovation labs are agile and responsive. They employ new procurement policies and practices designed specifically for the unique needs of innovation projects. This includes simplified processes and compliance requirements, new risk management approaches, faster payment cycles and onboarding models.

 

Build a well defined plan for every innovation project. Many innovation pilots are “successful” during the pilot phase, but fail during the scaling phase. This is because the pilots were not fully thought out at the start. Some test a specific technology or solution, and not the approaches. Others test the wrong things (or not enough of the right things). Some are tested in conditions that are not truly reflective of the environment it will be deployed into. Still others don’t test extensively enough, or over a sufficient range of conditions.

Successful projects in smart city innovation labs involve extensive planning, cross-department collaboration, and a comprehensive review process throughout its lifecycle. They have well defined problem statements. They define a targeted and measurable outcome, a detailed set of test requirements and specific success criteria. While innovation projects contain uncertainty, minimize project execution uncertainties with “tried and true” project management plans and processes.

 

Continuously drive broad support for the lab. A successful civic innovation lab thrives on active support, collaboration and engagement from stakeholders across the civic ecosystem. However, many city departments and agencies operate in silos. Launching and having an innovation lab doesn’t mean that everyone knows about it, actively funnel projects to it, or support and engage with it.

Successful smart city innovation labs proactively drive awareness, interest and support from city leaders, agencies, and the community. This includes success stories, progress updates, technology briefings and demonstrations, project solicitations, and trainings. They engage with city and agency leaders regularly, host lab open houses and community tours. They conduct press and social media awareness campaigns. Regardless of the “who, how and what” of the outreach, the key is to do it regularly internally and externally.

 

Measure the things that matter - outcomes. There are many metrics that an innovation lab can be measured on. These range from the number of projects completed, organizations engaged, number of partnerships, investments and expenses, and so on. Ultimately, the only innovation lab metric that truly matters is to be able to answer the following question - “what real world difference has the lab made that justifies its continuing existence and funding?”.

All innovation lab projects focus on solving the problem at hand. It must quantify the impact of any solutions created. For example, many cities are monitoring air quality. A people counting sensor, mounted alongside an air quality sensor, quantifies the number of people impacted. Any corrective measures developed as a result of this project can now point to a quantifiable outcome.

 

Build an innovation partner ecosystem. A smart city innovation lab cannot address the city’s innovation needs by itself. A city is a complex ecosystem comprising multiple and diverse domains. Technologies are emerging and evolving rapidly. New digital skills, from software programming to data science, are required to build and operate the new smart city.

Successful smart city innovation labs complement their internal capabilities and resources by building an ecosystem of strategic and specialist partners and solutions providers, and subject matter experts. These partners are identified ahead of time, onboarded and then brought in on an as-needed basis to support projects and activities as needed. This model requires the lab to build strong partnership competence, processes, policies and the appropriate contract vehicles. In addition, the lab must continuously scan the innovation ecosystem, identify and recruit new partners ahead of the need.

 

Test approaches, not vendors or solutions. Real world city problems are complex. There is no magic “one size fits all” solution. For example, smart parking systems use sensor based and camera based approaches. In some cases, both approaches work equally well. In other cases, one or the other will work better. A common innovation mistake is to only test one approach or fall in love with a specific vendor solution and draw a generalized conclusion.

Effective innovation lab projects focus on testing various approaches (not vendors) in order to solve problems effectively. Given the rapid pace of technology evolution, take the time to identify, test and characterize the various solution approaches instead.

 

Employ a multi-connectivity smart city strategy. There are many options for smart city connectivity. These include, but not limited to cellular 3G/4G, Wi-Fi, LoRaWAN, SigFox, NB-IoT and Bluetooth, and so on. Use cases and solutions are now emerging to support these options. However, some smart city technologies in the marketplace work on one, while others work on more. There is no “one size fits all” connectivity method that works everywhere, every time, with everything.

To be effective, smart city innovation labs need to support several of these options. The reality is that there is not enough information to know which options work best for what applications, and when. What works in one city or region, may not work in another. Pilot projects test a possible solution, as well as the connectivity approach to that solution.

 

Make small innovation investments and spread them around. Open an innovation lab and a long line of solutions vendors will show up. Everyone has a potential solution that will solve a particular problem. Some of these solutions may even work. Unfortunately, there is not enough budget to look at every solution and solve every problem.

Focus on making smaller, but more investments around several areas. Overinvesting in one vendor or one approach, in a market where technologies are immature and still evolving, is not wise. Invest enough to confirm the pilot outcomes. A more detailed evaluation of the various solutions and vendors should be made when the pilot moves out of the innovation lab and into a formal procurement and RFP phase.

 

Simplify administrative and non-innovation workloads. While innovation pilot projects are challenging, interesting and even fun, administering and managing the projects are not. These unavoidable tasks range include managing inbound requests, proposals and ongoing projects. These tasks increasingly consume time and resources away from the core innovation activities.

Effective smart city innovation labs get ahead of this by organizing, simplifying and automating administrative activities right from the start. For example, SMC Labs reviews inbound proposals once a week and organizes follow up calls and meetings on a specific day once every two weeks. In addition, the lab uses a tracking and pilot management tool (Urban Leap) to track innovation projects. Administrative and management activities are unavoidable. However, advanced planning and tools help reduce the burden to keep the lab's focus on innovation.

 

Benson Chan is an innovation catalyst at Strategy of Things, helping cities become smarter and more responsive through its innovation laboratory, research and intelligence, consulting and acceleration (execution) services. He has over 25 years of scaling innovative businesses and bringing innovations to market for Fortune 500 and start-up companies. Benson shares his deep experiences in strategy, business development, marketing, product management, engineering and operations management to help IoTCentral readers address strategic and practical IoT issues.

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We’ve heard a great deal about the Internet of Things (IoT) and how it’s going to change the face of business as we know it. However, the Industrial Internet of Things (IIoT) goes a step further, particularly with reference to how smart sensors and actuators can enhance and improve the manufacturing and industrial processes. So, what exactly is the IIoT and how will it really change every business? Read on to find out more.

 

What is Industrial IoT?

To put it simply, the IIoT aims to dramatically improve efficiency and productivity within the industrial industry. It leverages the power of smart machines and sensors to take advantage of the data that machines have produced in industrial settings since they began. The combination of real-time analytics and smart machines is not only better than humans at capturing data, but it’s also more accurate in reporting the information.

How it Works

Though it sounds rather complicated, in practice, it’s really quite simple. This network of intelligent devices will work together to monitor, collect and analyse data. It works like so:

  • The intelligent devices gather information
  • They then transmit this to the data communications infrastructure
  • It’s converted into actionable information for humans
  • This can be used for routine maintenance as well as optimising business processes

 

IIoT vs IoT – What’s the Difference?

IIoT and IoT undoubtedly have plenty in common, from cloud platforms, sensors and connectivity to machine communication and analytics. However, there are a few differentiating factors. For example, IoT applications connect devices across multiple fields – between healthcare, agriculture and enterprise for instance. IIoT, on the other hand, only connects machines and devices within specific industries such as oil, gas and manufacturing.



What Are the Benefits?

Though the technology has received inordinate amounts of funding, technical due diligence is still frequently required from some sceptics. On the whole, however, there are many positives that investors simply cannot ignore.

One of the main benefits is the aforementioned predictive maintenance. This will almost allow industrial businesses to operate like clock-work. It will predict faults in machinery before they actually happen, allowing for swift work in fixing any issues. This prevents losing any time from production due to a defective machine which may have previously cost the business money.

A further benefit is asset tracking. Now, suppliers, manufacturers and even customers can use asset management systems to monitor the location and status of products throughout their life cycle. This will include everything from manufacturing to dispatch. It can send alerts to various stakeholders if it’s thought that the product might be damaged, allowing them to take preventative action before it’s too late.

What is the Future of IIoT

Interestingly, the top three industries investing in IIoT are transportation, manufacturing and utilities. Where some businesses may be reluctant to adopt new technology, it seems that the IIoT is different. It’s an exciting prospect, which continues to accumulate more appeal across the globe as it develops. Time will tell just how quickly this technology will change the way many industries operate.



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Studies that by next year, we will have more than 20 billion IoT devices connected to the internet. Also, that's not just limited to, say, mobile devices or even household device. The evolution of IoT has come to the point that we now also have vehicles that are connected to the internet, as carmakers strive to give their customers better creature comforts and conveniences within their automobiles. So, you can see, that the Internet of Things (IoT) offers immense possibilities for web development as more and more such devices come online.


How? It is quite simple. First, the nexus of IoT devices depends on web servers. Then there's also the data gathered from the sensors, which is saved in the cloud. So how do you think the connected devices communicate with each other? They rely on experimental messaging protocols. Finally, users need a UI to engage with the connected devices. Long story short, web development is a critical part of IoT.


Now, let's get into the details of how IoT has already and continues to revolutionize web development.
1. Data collection: One of the essential elements of IoT devices is the massive amounts of data they work with. The tools gather real-time data from sensors, then filter and process them, before relaying it to the cloud and back again. In the context of web development, this data can be leveraged to fine-tune the web development project, allowing companies to offer products and services that improve with time.
2. User interface: Since IoT devices depend on dynamic UIs to serve the individual needs of various users means that web developers must now take an entirely new approach to design UI. The micromanagement of the UI necessary for correctly displaying all types of data results in IoT devices offering multitasking abilities and overall versatility to users.
3. Enhanced focus on security: While it is miserable to realize, the truth remains that IoT devices, despite their prevalence, suffer at the hands of lack of robust security. It is one of the biggest reasons why users are still reluctant to embrace them. Thankfully, the solution to this conundrum is found in web development. Developers can help fortify IoT devices by integrating certain security features in their code. It can include user identification, identity verification, access management and more.
4. Hybridization of development teams: Ask any developer and will tell you that a hybrid team is practically a death knell for the development project. Nonetheless, work requires completion when IoT is involved. To deliver successful IoT web app development projects, web designers must work together with experts proficient in IoT. It will allow them to concatenate code with the data.


One may be inclined to deem the impact of IoT on web app development as damaging, but you still can't deny that every time such integrated event occurs, it eventually leads to ultra-modern technologies that profoundly affect and transform our way of life even further.

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