Top 5 challenges for Industrial IoT (IIoT) Implementation

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The physical world is transformed into being digitized. An explosion of smart devices and technologies has allowed mankind to be in constant communication with one another anytime. It’s more about now machine learning, artificial intelligence, robots and what not. Large volumes of data are easily managed and analyzed with Data Metric technology.

One such technology is Industrial Internet of Things (IIoT) which is also known as the Industrial Internet or Industry 4.0. The technology can bring together brilliant machines, advanced analytics, and the people involved at work.
On combining machine-to-machine communication with big data analytics in an industry, IIoT can drive unprecedented levels of efficiency, productivity, and performance.

Almost all the business is inclining towards IoT development companies to get the technology integrated into their businesses. With the evolution of the industrial internet of things, it has become evident in managing real-time dynamics of data analytics in the industrial sector.

This has created both new opportunities and challenges for business leaders.

“As per the analytical reports, the industrial internet of things will reinvent many sectors that account for approximately two-thirds of the global economic output hence driving economic gains of 14.2 trillion dollars by 2030.”

However not every enterprise is able to equip themselves with the benefits of IIoT. In a survey done on a half of the executives across industrial and healthcare sectors said they lack the talent required to consolidate and interpret the massive volume of disparate data that exists across their facilities.

It’s observed that within the next few years, 72% of those companies fear they will lose market share if they are unable to implement their big data strategy. There are a few challenges that are holding them back.

Let’s dig deep and learn about the top five IIoT implementation challenges currently faced by organizations.

Connectivity Outage Challenge

There is a constant need for uninterrupted connectivity if an enterprise is planning to go IIoT. Even while using Internet connectivity, its availability of 100% is nearly impossible. Either for maintenance or for some other reason, at one point of time, the connection is lost.

If an enterprise is planning to implement IIoT technology in their system, the critical need is to be present with an unremitted connection. It would be best to make sure to use the proper cables and set a system that guarantees zero data loss—even in case of connectivity Issues.

Delivering Value to The Customer

The plan to implement IIoT solutions can severely impact the efficiency, customer satisfaction, and productivity in the long run. Having IIoT is a big deal and the entire cycle needs great understanding as any business usually plans for new technology to fill the gap of understanding the customer problem statement.

Hence, it becomes extremely crucial for IoT consultants to figure out the key performance indicators to measure and improve through an IoT solution.

Data Storage

One of the major challenges for enterprises is Data storage. Today all forecasted activities heavily rely on the stored data from the past. No enterprise lives with an old traditional method to tackle data which usually would be analyzing high-frequency data, analyze it, and promptly throw it away.

Industrial Internet of Things supports to collect thousands of data points that have critical relevance to future aspects of the business outside of the OT network. And hence it becomes a necessity for any enterprise to plan for a secure storage of data before going full IIoT in long run.

Security

There had been numerous cases of cyber-attacks in the past. It’s much important to save critical data from cyber-attacks than maintaining typical IT networks. This had been the biggest IIoT challenge for the operation and technology teams since a regular threat can ruin the enterprise.

Even if a company plans to overcome such issues with IIoT, this would mean introducing new security tools to the network which means increased cost and heavy maintenance. Thus, businesses are usually resisting the idea of IIoT until they are equipped with a solid security plan in place.

Analytics Challenges

Even if IoT solution is implemented in the enterprise, its actual ROI value is realized through actionable insights derived from the collected IoT data. This could only be possible with the help of a high-performance analytics platform that can handle the gigantic amount of data added to the solution.

While implementing IoT architecture, it’s important for Data Analytics partners to involve data processing, cleansing, and representation too. This ensures leaving enough space for extensibility factor to add real-time or predictive analytics to an IoT solution easily.

Conclusion

Experts have suggested that industrial IoT will surely enhance production levels even further with time. It’s believed that involving IIoT will eventually become the driving force of innovations behind various types of revolution. Be it the enterprise, end users or the workforce itself, all segments will carry equal benefit and advantages as a part of the extensive automation process.

Original Article : HERE ; This post was curated & posted using : RealSpecific


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