September 2018

The new features on the iPhone are supported with the new iOS 12 software. iOS 12 is designed to make the iPhone and iPad experience even faster, more responsive and more delightful.
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Performance
 
iOS has been enhanced for a faster and more responsive experience all around. Common features, like launching Camera and typing with the keyboard happen faster than ever. And there are even more significant improvements when multiple apps are being used together.

Face Time & Camera Effects
 
FaceTime now supports video calls with up to 32 people. This is a feature iPhone’s have been missing for a long time, and have lead to popular substitute app’s to be created.
Amongst businesses, Skype, Slack and Google Hangouts are used. For more casual conversations, apps like HouseParty have been created.
Now with the support for multi-person FaceTime conversation, these apps are at risk of becoming replaced. 

Memoji allows users to create their own personalized characters, much like the popular app BitMoji.
There are new Animoji animals as well as support for more intricate face actions like winking.
iMessage now supports the quick use of features like Animoji, Memoji, stickers, snapshots from camera, and text effects. ​

Augmented Reality for iOS
 
With the new A12 bionic chips, Augmented Reality is going to be more popular than ever. Apple has been promoting their AR Kit for development purposes to produce more applications that iPhone users can benefit from. 

Work

GE has developed an application that enables service workers to visualize industrial equipment and repair it with greater efficiency

​Home

AR helps with the use of placing furniture to allow users to visualize how furniture looks in their house without actually purchasing it.

Navigation

American Airlines has created an app that overlays real-time information on an iPhone surroundings at airport terminals using the camera. It helps users effortlessly find coffee, restrooms, restaurants, shops, and the departing gate.

Education

Children can see a detailed breakdown of bodies, animals, and other objects to see how they look in three dimensions right in front of their eyes.
They can also model real life geographical models to explore new areas and see them as if they were standing right there. 

Games
 
The mobile gaming industry is growing at an extremely fast rate, and with improvements in the iPhone processor and iOS, playing with AR is now easier than ever. One major issue with AR has always been that the as take up a lot of battery percentage, however, with the development of ARKit2, apps are now more efficient and use phone energy more efficiently. Apple also allows AR games to be played in multiplayer, allowing two different devices to see the same view of the game from different perspectives. 

Shortcuts

With mobile assistants like Siri becoming more popular each day, it is important to keep them easy to use while also ensuring they perform complex tasks with simple commands. Apple has managed to achieve exactly this with the creation of the shortcuts application on iOS 12. Users can see suggested custom shortcuts such as “play my pop playlist on Spotify” or they can create completely custom ones such as “provide me with transit directions home”. The actions followed can be set by the user, and can span across multiple applications, allowing you to perform complex tasks like creating multiple calendar invites and messaging and emailing each participant. After the specific actions are set, a custom voice action can be recorded in the users voice, letting Siri know when to activate that action. This adds another layer of customization and personalization to the application.
This is a large step in the right direction for Apple as people want to be more mindful about how long they spend on their devices, and also enforce strict quotas when required.

Screen Time
 
As mobile devices have more functionality, the amount of time each person uses them will increase.
Parents and other adults are worried about how much time they or their children spend on these devices, as it takes away from other real-life experiences.
Apple has is trying to solve this with the release of Screen Time, where users can see detailed statistics of how long they can use an application.
There are also limits that can be set for specific applications of categories, allowing users to limit their usage of their device.
 
Conclusion
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Apple’s new software update provides a variety of new updates to iPhone users. While some of the features like CoreML and improved performance may not be directly noticeable, features like screen time and shortcuts will definitely help iOS users. Developers are also more inclined to use these new technologies in apps as devices are now more optimized. 

​If you are going to invest in a mobile application project, there are going to be a few hiccups that you will face during the development phase. It depends on the project, the kind of risks that you may encounter while developing the app. There are five types of development risks that you could face: 

1. The risk of overshooting the budget that was planned during the initial stages of development. This could delay or at times even be the reason that application never makes it to the market.
2. The risk of losing or absence of human resources. If the team that is assigned is not punctual or take too many leaves, it results with the app being delayed which in return leaves a cascading effect on other factors such as time, budget and productivity.
3. The risk of limited knowledge exchange and miscommunication within the team. When certain app technicians do not want to share knowledge or the codes that they are working on, they create a knowledge vacuum which will affect the development of the app.
4. The risk of low productivity can be predicted in long term projects. When there are no deadline crunches, there is no urgency of work – this leads to the resources working on the app to not put in as much effort or work time as required.
5. The risk of overshooting deadlines due to lack of time management. This is ideally the result of poor planning, unrealistic timelines or inability of catching up with the changing product requirements. 

 
The agile methodology touches upon various risks. That said, there are a lot of instances where agile environments are not able to overcome these risk factors, mainly due to, mistakes made by team members, errors made in the planning stage and unexpected changes if the product evolves.
Let’s take a look at each software development risk and how it can be managed to mitigate delays, mistakes and other barriers to releasing a successful application.

Risk: Overshooting the Budget

Solution: Rolling Wave Plan

During the production of the app, you cannot be firm on the assumptions that you’ve made. This means that as the app development progresses, the objectives or the goals of the app may change or the product may need to pivot as per the market demands.
Rolling wave planning is the solution to this issue. Ideally, during the planning stage, the team makes basic product decisions at that particular time rather than making very detailed plans at the beginning of the project. Hence, the project can evolve at its own pace keeping into account the feedback received from various sources. This means that as per the new knowledge received, the product can be developed – saving time and resources required for re-planning.
The rolling wave planning hence, keeps the budget in check. Although, you must remember that it is absolutely essential to make a budgeting plan for the entire scope of the project. It is important to have a clear understanding of what the app is going to offer and the entire cost involved in supporting that functionality.

Risk: Losing or Absence of Human Resources and Limited Knowledge Exchange

Solution: Squad-based Development

A squad is a group of 10-12 people who are co-located teams that are involved in planning the app, sharing knowledge, completing code reviews and working together. This squad sticks together from the beginning of the project till the app is released in the market.
Squad based development eliminates the risk of knowledge silos as there is an open flow of knowledge. So even if a resource is absent or leaves the project, the other team member can take on the task, thus, avoiding the vacuum that gets created otherwise.

Risk: Low Productivity

Solution: Sprint Based Development

Scrum, as we know, is a specialised agile method that uses the term Sprint for its iterations. Basically, one development cycle in scrum is called a sprint. So, sprints are iterative development phases that are created to produce a demo version of the product within a particular timeframe, i.e. mostly two-three weeks.
This means that if there is a long term project, this method can avoid low productivity by giving the team members of the app a short term goal. This adds a sense of urgency, thereby, maintaining velocity by diving work into smaller and manageable tasks.

Risk: Overshooting Deadlines (Time)

Solution: Process

The risk of overshooting deadlines generally occurs if the team is constantly looking for “perfection”, gaps in the project management plan or a rigid development process. Keeping the process flexible is best way of dealing with time risk.
It is important that the team is flexible so that they can adapt to the changing needs of the product, complete each stage faster with a frequent delivery schedule and planning resources efficiently to ensure that the project does not surpass the deadline.

Conclusion

As the agile methodology is being widely used by most companies, its stance on risk management remains questionable in some companies/organisations. But in today’s time the agile methodology has come up with solutions for the risks in an app development project. These challenges are being found and integrated into agile methodologies and project practices.
If you need more information on how to handle development risks in an agile environment, you can contact the App-Scoop app developers. App-Scoop app development team can help you by managing risks that your app might encounter during the development process and help you curb them with appropriate solutions.
Contact app-scoop app developers- https://app-scoop.com/contact-us.html
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Recently, there has been an economic downturn in the mining industry, companies are looking to be as efficient as possible. This means there is a need for innovation to increase efficiency and lower operating costs. Companies are looking into various technologies that could help them improve their processes. 

Augmented Reality (AR) was identified as a technology, along with Virtual Reality to help solve this issue. Companies are looking to merge the real and virtual word, in a space called Mixed Reality (MR). All aspects of the real and virtual environments are encompassed in this MR, as pictured on the right.
 
While companies researched into Augmented Reality, they thought of conceptual applications of this technology in the mining environment. There was a great focus on applications that would optimize the mining process by reducing costs, improving efficiencies, increasing productivity, and enhancing safety. Another factor was how easily these technologies could be incorporated into current working environments such that there were minimal amount of human resistance and implementation costs. 

Augmented Reality in Drilling

​The accuracy and efficiency of drilling can be significantly increased through visual guidance assistance through AR. This visual technology can further be improved by displaying real-time location and orientation of the drill below the surface or the rock the machine is currently drilling.
Technologies such as low-frequency electro-magnetic location transmitting systems used in the oil and gas industry would allow for the exact location of the drill bit to be displayed. This would allow for a faster reaction and adjustment time by drill operators, allowing them to improve accuracy.
 
When AR is paired with other technologies such as directional drilling, which allows for control over the drill head during the drilling process, the drill can be steered in real-time to follow the exact path laid out in the plan. This improved accuracy leads to reduced wastage in resources and also reduces the potential damage of equipment as unknown hazardous objects can be avoided.

Navigation Aid and Operator Assistance

Mining on the surface with poor weather conditions like rain, dust, or sand, could significantly slow down the rate at which work is completed. AR can help by developing an application that allows miners to see hazardous objects and scenarios. The use of virtual information on top of the miner’s real-world view can help identify key points of data such as:

• Road Boundaries
• Approaching Vehicles
• Distance from Vehicles
• Distance to reverse to a particular site
• Video feeds of blind spots of a vehicle

​Other useful virtual overlays could include information on remaining fuel capacity, current load, estimated duration until next refueling, vehicle speed, GPS guidance system, or real time location of key locations on a map.

Real-time information sharing between different operators and vehicles will improve feel efficiency, help with feel management, and improve communication and response times. All of these uses will help reduce costs, prevent accidents, and improve worker productivity.
 
 Maintenance and Repair
 
General repair and maintenance of machines can be done more efficiently through the use of AR. Essential information about the machine being repaired could be displayed when the appropriate part breaks down. This can also include a step by step interactive process that allows operators to see how to fix the particular part. Key points of data to assist with the repair such as how much pressure to apply when adding a part, or how much torque to use when fastening a piece of equipment, can also be shown to minimize errors. 

​With the power of networks, a live virtual chat can be engaged with the manufacturer of the device in case further assistance is required. All key points of data about the machine will automatically be sent to the manufacturer, and they can virtually point out what particular steps to take or which parts of the machine to operate on.

AR will help reduce repair time greatly and will also ensure the repairs and maintenance are done properly, so that the machine can operate longer before having to come back for servicing.

Augmented Reality in Industrial Manufacturing
 
Similar to mining, AR can help improve efficiencies in the manufacturing industry as well. The more common device that will be used here is AR headsets, which are expected to reach sales of approximately 20 million by 2021. Some of the core areas to improve, such as safety, improved logistics, and maintenance are quite similar to the mining industry, however, the way the technology is applied differs in both industries.
 
Hands-On Training 

​In the manufacturing industry, there are high training costs as new workers need to learn how to use specialized and complex machinery, where the cost of making is mistake is quite high. The use of this machines is often complicated and can lead to safety issues. Through the use of AR, workers can know exactly which steps to follow in any situation, which will allow them to perform virtual steps in front of their eyes instead of recalling them from memory.
 
This also reduces the barriers to entry to the industry, as lesser technical experience is required to operate the machines. This will help improve labor quality and satisfaction as workers will now have on-demand access to assistance without fear of breaking or damaging machinery or harming themselves.
 
Streamlined Logistics
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In order fulfillment and warehouse locations, there are high amounts of moving parts in the factory. Workers must be able to multi-task and be aware of the status of multiple deliveries or orders to be able to work efficiently. Workers also have to be in constant communication with each other to relay information about orders. This can lead to a day being extremely hectic and tedious for workers.
AR can allow these workers to pull information from a database and view what they need instantly without having to move to another location or communicate with another employee. They can check on order statutes, invoice numbers, time of departure of the next shipping truck, and other key points of data from where they are working. This can allow them to work significantly more efficiently as they no longer need to find the right person to get information they need and can do so independently and instantly. 

Product Design and Communication
 
Typical product design procedures require large amounts of drawing and communication between different parties. This can often be a lengthy and resource-intensive process.
 
AR can reduce the time spent during this process by allowing multiple people to view a real time projection of drawings and designs in front of them.  This way, meetings can be held virtually, and communication can be done significant faster versus emailing designs and consolidating feedback from multiple replies. 

Furthermore, 3D models od designs can be made, allowing people to see another perspective of these designs right in front of their eyes. This will help them think of unique ideas or identify issues they would not have been able to if the drawings were done on paper or digitally in two dimensions.
 
Conclusion
There are multiple advantages of augmented reality in both the mining and industrial manufacturing industries. Since both of these industries involve the use of highly complex machinery to preform specific tasks some of the common areas of improvements include higher efficiency when using machinery through AR navigation and guidance, improved maintenance through virtual instructions, and better communication and modelling through virtual conferences and sharing of information.
 
Sources
https://www.researchgate.net/publication/314838396_Potential_Augmented_Reality_Applications_in_the_Mining_Industry
https://blog.thomasnet.com/augmented-reality-manufacturing?utm_content=76098134&utm_medium=social&utm_source=linkedin

​Blockchain technology has taken over the world with its unique features of safety and a shared public ledger that doesn’t involve the third party. There have been more than a million transactions on the Blockchain platform from all over the world. Corporations are now looking at adopting the Blockchain in one of the biggest industries, i.e. the supply chain. But you might think why would a well established supply chain look to adopt a new technology like Blockchain? Well the answer to that is for better coordination among various organisations. 

Let’s take a look at how Blockchain can be incorporated into the supply chain and make a difference to this mammoth industry.

What is a Supply Chain?
Before diving into the crux of the matter, first let’s understand the meaning of supply chain. When human and industrial resources come together to deliver the product from the supplier to the consumers, it is called a supply chain. The supply chain amalgamates natural resources, raw materials and components into finished products that are delivered to the end customer. There are a lot of steps and processes that are conducted between getting the raw material and shipping the final good.
The major drawback in the supply chain is weak communication between different organisations involved in the process. Ideally, these supply chains need to work on trust but in a huge organisation where there are several people working, it gets difficult to factor trust. This is exactly where Blockchain can help.

Example of Integration of Blockchain in the Supply Chain
With the help of Blockchain the supply chain can record each and every step of the process. Let’s understand this with the help of an example. Consider the supply chain of an exhibition. There are so many stages and processes involved from the time of deciding an event to execute it. It is a complicated process where different teams are assigned different responsibilities. But what happens when there are delays in the project output? The company loses a lot of money. Here is where the deployment of Blockchain would help.
The Blockchain platform can help coordinate delays in one process or another and adjust future processing in real time. Corporations estimate saving billions of rupees if there are able to install and use this technology.
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The Function of a Blockchain in a Supply Chain
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So how does a Blockchain exactly function and keep records in the supply chain? Every transaction done in the supply chain is recorded on a block. This block is converted across multiple copies in the ledger, which are distributed over many nodes (computers). All the supply chain processes recorded in the Blockchain would be transparent and highly secure since every block links to the one before it and after it.
There is no central authority over the Blockchain, it’s extremely efficient and scalable. Chain of command is essential for many things, and blockchain has the chain of command built in. Since, all entities on the chain have the same version of the ledger there is no dispute. Everyone on the Blockchain can see the chain of ownership for an asset on the platform. The records on Blockchain cannot be erased and hence, is reliable and important for a transparent supply chain.

How Blockchain Can Help the Supply Chain?
Using the same example (planning an exhibition) we used earlier; let’s illustrate how Blockchain could better the supply chain. One way to ensure that the supply chain process is smooth is to know every step as it is being carried out in real time. For instance, ‘Has the material for the exhibition stall arrived?’, ‘Has the material been shipped from a foreign country?’ etc. Additionally, companies can examine sources, investigate industry certifications, track restricted or dangerous components, and discover storage condition anomalies. This allows for planning for untimely delays in the process.
For example, the delay in an outdoor exhibition during pre-production due to bad weather, issues between the labour force and the client, etc. can be factored into the final product. If a company knows that a particular task is incomplete or is likely to get delayed, they can immediately look for ways to remedy the situation. They can look for alternate sources or pass the information further down the chain as they find necessary.
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Since every transaction is recorded on a block and across multiple copies of the ledger that are distributed over many nodes (computers), it is highly transparent. It’s also highly secure since every block links to the one before it and after it. There is not one central authority over the blockchain, and it’s extremely efficient and scalable. Ultimately, blockchain can increase the efficiency and transparency of supply chains and positively impact everything from warehousing to delivery to payment. Chain of command is essential for many things, and blockchain has the chain of command built in.
Blockchain provides consensus—there is no dispute in the chain regarding transactions because all entities on the chain have the same version of the ledger. Everyone on the blockchain can see the chain of ownership for an asset on the blockchain. Records on the blockchain cannot be erased which is important for a transparent supply chain.

Curbing Fraud with Blockchain

In today’s times a lot of companies are tampering with product quality or fake products to earn a little cash on the side. The supply chain doesn’t have any way to guarantee the authenticity of the product from start to finish. The fraud could occur at any stage and by any team, and the end consumer would have to bear the brunt for the same. This is specially seen in the food industry.
From switching high quality raw materials to cheap substitutes or switching the end product with a duplicate one is a classic example of fraud that could occur. Blockchains can help curb fraudulent behaviour by providing authentic records for every batch of raw material. Blockchain can store all the relevant information such as factory conditions, batch numbers, expiration dates, storage and shipping data for every batch of food items supplied by the company. Hence, when the final product is shipped to the end customer, it would have its entire origination history in the Blockchain system.

Making a Difference in the Supply Chain with Blockchain
With the advent of Blockchain, third parties that consolidate and resell goods will become redundant. Their exclusion from the whole supply chain process would make a lot of processes easier, curd fraud and become more transparent. Involving third parties that are situated around the globe can complicate the process, thereby making you lose track in the supply chain process.
Also, instead of using track changes and contracts (checked by different parties), the Blockchain platform provides all the changes made at different stages. All the important information or notes can be stored in the system and be viewed at any time by different parties.
In recent times, Accenture (a global consultancy) developed a Blockchain solution for an international shipping supply chain. The platform could save the entire process, thereby, saving the freight and logistics sector billions of dollars.

If you wish to create a Blockchain technology that could fill the gaps in your supply chain, you can contact the App Scoop development team – https://app-scoop.com/contact-us.html
 

​Over the past few years, there has been a significant amount of development in the Internet of Things (IoT), which is essentially a group of interconnected devices functioning together. While there has been a lot of growth in the consumer facing side, which is IoT, there has also been a significant amount of growth in the Industrial Internet of Things (IIoT), which is more manufacturing focused.

IIoT had a worldwide value of $295 million in 2015, an this expected to grow to a value of $1.6 billion by 2021 with a CAGR of 33%. Furthermore, IIoT is expected to have an economic impact of approximately $6 trillion by 2025, out of which $1.3 trillion will be for the electricity industry1.
 
While there is a large potential for this technology, it will take time for IIoT to be a standard as there are high costs to implement the system and make older manufacturing models compatible with IIoT.
 
What is IIoT

​The Industrial Internet of Things is similar to the Internet of Things, in the sense that multiple devices and sensors work together on the same network to collect and analyze data. The main difference is that IIoT uses these sensors to collect large amounts of data and analyze it to improve and even automate current processes, making the manufacturing experience more efficient. IIoT is already growing in demand as large companies are in the process of rolling out IIoT solutions such as IBM’s Watson. GE’s Predix, and Honeywell’s Sentience. 

Current Demand for IIoT

​A survey by PwC revealed the current interest for IIoT and digital factories. Approximately 90% of respondents and investing in digital factories, but only 6% consider their manufacturing processes to be completely digitized. Almost majority of respondents chose to invest in digital factories to better server customer preferences and improve the manufacturing process efficiency. The expected ROI for an investment in a digital factory is at around 50%, making it an attractive investment. Furthermore, companies are expected to see an improvement in efficiency by more than 10% over the next five years as they roll out IIoT implementations in their factories.

Almost 50% of respondents expect IIoT to increase employee productivity, improve asset optimization, and reduce costs However, some potential barriers include poor communication of infrastructure requirements and high capital costs. Furthermore, 40% of companies said lack of government support makes it more difficult to implement IIoT in their factories and around 20% said there is insufficient technical knowledge in the workforce to truly benefit from IIoT being implemented.

Trends in IIoT

Data Analytics
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There are multiple companies that are brining data analytics to manufacturing. Companies are expecting to invest in digital literacy rather than infrastructure as IIoT becomes more popular1. There is no more of a focus on how to collect data and use it in a valuable way to improve processes. This is where IIoT plays a large role, as multiple sensors can ready key inputs from multiple machines and analyze this data to make meaningful conclusions about how a factory process is running. Factories are now looking at hiring non-traditional roles such as data scientists and engineers to leverage this data to make smart predictions. Companies such as Microsoft, Amazon, and Google are already looking into how to allow such analytics to be used at scale with low costs. 

Application Development
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While there will be a large focus on using the data, there will also be increase in application development that will use this data to provide a user experience where factory managers can read the data in meaningful ways such as visual reports. Factory asset management can also be done through these apps as sensors can provide key points of data such as what level of efficiency a machine is running at, when the last maintenance was done, and real time location of machines and vehicles on the factory floor1. The application can also have functionality for factory managers to perform actions remotely such as powering machines, requesting maintenance, and other functions. 

Energy Harvesting
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As costs of fuels increase, companies are looking into more energy efficient technology that are cheaper such as solar, thermal, and wind energy. Capturing this energy efficiently and monitoring how much energy is captured so that it can efficiency be distributed based on factors like the current workload. A machine that currently requires larger amounts of electricity as it is performing a heavier task can have power rerouted from idle machines that do not need it at the moment. This will help energy be utilized better, reducing wastage and costs.

Predictive Maintenance

The factory machine maintenance industry has nearly 20 million field technicians that maintain a variety of difference machinery1. Maintaining these machines is extremely expensive, and not efficient now. Machines that need maintenance are being used without factories aware, which leads to more expensive breakdowns and down time. On the other hand, machines that are functioning better than expected are receiving maintenance. Through the use of IIoT sensors, data can be collected on machine usage and uploaded to the cloud. This data can be analyzed to determine what input factors, like machine hours used, type of equipment worked on, or others impact a machine the most by plotting this data to find correlations using regression. Furthermore, based on usage, a general point of maintenance can be determined that is significantly more accurate than time-based maintenance. For instance, a machine can be maintained once every 10,000 hours of usage versus once every year1. This allows factors that actually impact the machine to be used to determine when a machine is maintained, allowing machines that need the maintenance to be repaired first.

Security

Like in IoT, security will be a key factor in IIoT as well. Devices will now have longer usage cycles, and its important to keep the software up to date and secure throughout this entire process. Nearly 96% of security professionals in organizations are expecting an increase in cyber-attacks on IIoT infrastructure3. Many factories currently do not feel prepared for such attacks as they can cripple an entire factories ability to produce items. It is extremely important to take the appropriate security measures to ensure data is transmitted securely and machines have the proper authentication in place.

Automation
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As IIoT becomes more popular, there will be an increase in autonomous capabilities. As more data gets collected, machines can start to make key decisions autonomously, such as when to request a repair if a particular part is not running efficiently1. Furthermore, through the use of more sensors, the manufacturing process can have more machines involved to streamline production.

Data Centers

While not limited to just IIoT, Data Centers will transform to become more autonomous. IoT and AI will enable data centers to self diagnose issues to find their root cause and diagnose the problem immediately. There will also be preventive measures taken if a data center predicts an issue will arise. This is extremely important as data is at the heart of IIoT, and if a data center is down, it will have a large impact on operations. There will also be reduced costs as data center administrators will not be needed as often to fix these issues. Further technologies will allow data center administrators to manage data servers remotely and monitor status and progresses, allowing an administrator to work on an issue upon a company’s request regardless of where they are.

Leveraging AR and VR

One of the most important aspects of manufacturing is ensuring workers are using the machinery as intended. Improper usage can lead to worker injuries or damage the machine. In the case of managing large or expensive to use equipment, training can become quite expensive as new employees learn how to use the machine2. In this sort of scenario, both Augmented Reality (AR) and Virtual Reality (VR) have a large potential to improve current processes. Employees can use VR to try using the machine without fear of hurting themselves or breaking the equipment. Once they have mastered the machine virtually, they can use useful tools with AR to receive visual instructions that overlay on top of the equipment, so they know exactly what to do. AR can also help experienced employees as real time data can be displayed in front of the employee and they can make decisions based on that.

Simulation Testing

As new equipment gets produced, manufactures will have to test them out in production before deploying them full scale. Here, a digital replicate of the machine can be created and using sensors a predictive analysis can be done to understand how the machine performs. This helps prevent expensive implementations of machines that may not be required. It also helps prevent downtime for new machines as the factory knows exactly how to use it when they deploy it.

​Robotics impact on Labor

According to the International Federation of Robotics, 2.6 million robots are expected to be deployed by 2019, and China will account for 40% of the sale of industrial robots. The robotics market is expected to grow by 13% annually until 20193. The growth in demand for robotics clearly indicates the importance of automation in key markets like China. There is some fear that robotics result in large amounts of lost jobs, however, there is research that says that the impact will not be as large as some predict. The use of robots in factories will lead to large amounts of cost savings, which can allow for the increase of labor demand to offset the loss of jobs. This is an important issue as the use of robots and automation becomes more popular.  

Conclusion
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The IIoT is a large and growing sector. There is large demand for smart machines and sensors that allow manufacturers to leverage data and make trends. This will help them produce more efficiently by saving costs in areas like energy, maintenance, and training. However, with the growing trend of automation and use of robotics, there are potential ethical issues that arise as these technologies start to replace manual labor.
 
 
Sources

1. https://www.cmswire.com/internet-of-things/industrial-iot-what-it-is-and-the-trends-driving-it-in-2018/
2. https://shoplogix.com/blog/industrial-iot-statistics-trends/
3. https://hackernoon.com/iiot-trends-to-watch-out-for-in-2017-96c498d39017