The Internet of Things has effectively become the new norm for industrial development. For a firm to become globally competent, it must implement the Internet of Things to cut operational costs, increase efficiency, and handle massive amounts of data.
However, just like anything related to the internet, there are enormous challenges that a firm might face during the implementation of the Industrial Internet of Things. Here are six such challenges.
Outrage of Connectivity
Any firm providing IoT development services requires uninterrupted connectivity to ensure that data flow and data transfer is constant, synchronized, and without data loss. Maintaining completely continuous connectivity is virtually and practically impossible. The connection can get lost due to power shortage, excessive data outrage, or excessive usage.
A mobile app development company can face this problem as the users of the mobile application increases as more data has to be handled. To avoid this problem, firms have to plan their connectivity needs.
To ensure continued connectivity, quality cable lines, uninterruptible power systems, and multiple connections can be considered. Moreover, data backup must be provided to ensure that there is no loss even if connectivity is affected due to some reason. At the same time, fiber-optics can be preferred to speed the data transfer, ensuring that in case of an outrage, it can be cleared quickly.
Heavy Storage Requirements
IoT Development services require vast amounts of data storage. Any forecasts made or statistics derived requires data across various spectrums consisting over a long period. Moreover, the data being analyzed can be high-frequency (vast amounts of data coming in concurrently).
As a result, firms require massive storage for this data. Even more, data backups need to be created to recover data in case of accidental or malicious data loss. This storage requires enormous capital investment if these servers for data collection are made in-house. Of external services are taken, there could be high maintenance costs, along with regular risks of a data breach. SSD storages are required in huge quantities to form internal servers that can be very expensive.
Customers Need Efficient Data Delivery
Consider the fate of a mobile app development company whose apps respond to customer requests in a couple of minutes – the firm will soon get out of the market. Thus, the relevant data needs to be delivered to the customer as soon as possible.
Moreover, customers might be facing multiple issues with the data industrial IoT is operating. For example, if Google stops indexing newer URLs due to some bug, many users can get affected, this can damage the firm’s reputation. Thus, the firm needs to devise a plan where the implementation of industrial IoT boosts customer satisfaction.
The Difficulty in Analyzing Data Hills
This challenge has two parts. First, the plan that is being implemented shall be able to make the required analysis for the firm. The firm must consider the code being performed and whether it shall give the desired calculation.
Even a single deviation from the correct code can change the output massively. For any industry, IoT is a massive investment. The return on investment depends on the value analysis that the implementation can generate.
The second part of this challenge is that even after the implementation of perfect code, the platform being implemented must be able to deal with the enormous amount of data.
For example, a mobile app development company can face thousands of megabytes of data requests each day from its users. If the platform is unable to process this data or crashes, then the IoT development services company shall lose on value output from its massive input.
Anything connected to a network is on a constant security threat. Hackers can break into the data; the data can become corrupt, the data could get deleted: there are numerous possibilities. Many significant firms have experienced cyber-attacks, where valuable consumer data has been stolen or changed.
Moreover, the challenge does not end by just dealing with one cyber-attack. New security methods have to be developed and implemented that increase the research and development costs. Third-party services to maintain data security can be costly. As a result, IoT development services have to consider a healthy plan for the continued safety and security of data. Such a program can often be purchased from third-party services. However, this can compromise the safety of data itself if the third party firm performs a malicious act.
For example, if a mobile app development company hires the services of another company to secure its data, they will have access to the data itself. Technically, this access places them in a position to sabotage the data.
Technology Integration Issue
The world of information technology is highly dynamic and continuously changing. Newer and better technology can enter the market anytime. As a result, the plan to be implemented for IoT must have the flexibility of integrating more modern technology and adjusting to any changes in the technological environment. Researchers need to always work on finding ways to implement a more flexible code. Moreover, constant new integrations must be tested for the safety and security of data to prevent a data breach.
Developing a plan and implementing IoT is an extremely hectic, time-consuming, and costly task. However, if implemented successfully, it can open new horizons for the business in terms of growth and expansion. Are you willing to take the risk?
Author’s Bio: Noman Shaikh is the Digital Marketing Manager of Peerbits & Fixlastmile, one of the leading mobile application development company USA, in 2011 which provides Blockchain app development services. His visionary leadership and flamboyant management style have yield fruitful results for the company. He believes in sharing his strong knowledge base with a learned concentration on entrepreneurship and business.
More on this topic: How AI Transforms Industrial IoT