The Industrial Internet of Things (IIoT) is declaring the Fourth Industrial Revolution.
While the imperative of digitization is well recognized, there are still some myths that prevent Industrial IoT implementation.
Due to worries about complexity and cost, many firms are postponing IIoT initiatives or are hesitant to advance beyond trials.
While preparing for the worst is not always a bad thing, it is possible to overestimate the risks associated with IIoT and undervalue its genuine value.
Avoiding IIoT implementation due to erroneous assumptions will do nothing to enhance your bottom line or competitive edge.
Let’s see some of the common myths around IIoT deployments.
Myth1: IIoT is only for Large Enterprises
Many firms believe that IIoT is only for larger firms with the resources and time necessary to adopt it.
In truth, enterprises of any size may deploy IIoT since recent advancements have made it simple and cost-effective.
Open-source software enables SMEs to leverage IIoT in their manufacturing operations without investing in extensive IIoT infrastructure or hiring specialist IT and engineering staff.
Thus, the potential benefits of IIoT to producers outweigh any concerns regarding cost or time.
Myth2: IIoT means Internet Connected
The cloud is the keyword that underlies most talks of IoT or Industrial IoT.
Without question, the cloud has many advantages and a significant presence in the IIoT market.
It provides a cost-effective, widespread infrastructure for the storing and management of vast amounts of data.
When combined with advanced machine learning algorithms, cloud computing can also discover trends in processes and equipment operations, allowing for predicting and preventing future problems.
Cloud solutions are not always the chosen choice for many industrial organizations.
Many outdated industrial systems lack basic security protections, making them an easy target for cybercriminals when connected to the Internet.
With multiple wireless suppliers offering cloud-based solutions, the cloud appears to be a necessary component of Industrial IoT implementation.
The reality is that the most adaptable IIoT architectures delegate this decision to end-users, allowing them to choose the backend system that best meets their business requirements.
The Industrial Internet of Things enhances control and visibility over industrial operations to improve operational efficiency, safety, and sustainability.
Myth3: IIoT is not Secure
Manufacturers’ main problem with IoT is its lack of security.
Manufacturers face security concerns as a result of linked devices communicating over the cloud.
However, as standardization and security awareness increase, IIoT is likely to become as secure as traditional IT infrastructure.
While there will be some risk connected with connecting devices to the Internet, an active security policy helps minimize risks.
It maximizes the long-term value of your IIoT infrastructure.
Myth4: IIoT is limited to Automation Networks
Manufacturers frequently evaluate the Internet of Things and its potential usefulness through a conventional, automation-centric lens.
Many digital factories have a new generation of automation facilities, fully equipped with next-generation manufacturing lines and robotic machines capable of millisecond-latency data communication.
While greater real-time automation is a storey component, it is far from the only factor that will define the next industrial revolution.
The primary value proposition of the IIoT is unparalleled visibility into existing processes and equipment, which enables strategic decision-making.
This visibility often provides granular sensor networks that collect data on assets, processes, and context.
Rather than high-bandwidth, time-sensitive communications, IIoT sensor networks are primarily concerned with transmitting brief bursts of telemetry data every few minutes or only when problems are detected.
On the other hand, data sent infrequently can be ineffective and strain the backend system.
What matters most are network coverage, stability, and scalability, as well as the ability to operate for years on its batteries.
Myth5: IIoT is Unnecessary
While the benefits of IIoT in manufacturing far surpass the myths around it, manufacturers continue to believe IIoT is unnecessary.
Many believe they would never be able to use the massive amounts of data generated by IIoT equipment.
When your organization expands, it is feasible that any unused data will become valuable.
Additionally, the Internet of Things generates data and helps you obtain insights across the supply chain, develop new revenue streams, and optimize the equipment life cycle.
Myth6: IIoT is Expensive
The assumption that IIoT is too expensive is another widespread myth. Investing in IIoT demands finance, but corporations focus exclusively on the cost component, not on the benefits associated with IIoT.
Once adopted, the actionable insights offered by IIoT can cut manufacturing costs, consequently enhancing efficiency and productivity.
As a result, expenses are reduced and growth increases, resulting in increased profits.
Myth7: IIoT will Replace People
The Industrial Internet of Things highlights a paradigm shift in industrial processes and the associated expertise.
While certain manual operations will automatically increase efficiency, this does not indicate that the necessity for human labour will disappear.
On the other hand, a digital factory is only as intelligent as its operators.
New job areas such as data scientists and security engineers will be necessary for securing and translating Big Data into business knowledge.
Existing occupations, such as machine operators, will continue to adapt as new skill sets become available.
Human intelligence is the driving force behind Industrial IoT deployment, and no machine is as adaptable as humans.
Additionally, IIoT frees workers from repetitive, tedious activities, allowing them to focus on more gratifying, higher-value jobs.
Similarly, one of the organization’s ultimate goals is to foster a safer and healthier work environment for employees.
Rather than being considered a danger to jobs, the IIoT should be viewed as creating future worker-centric smart factories.
Conclusion
With increased competition, it is critical to lower shop floor expenses while still providing a high level of service to customers.
Automation and business intelligence are the current trends, which utilize real-time data insights and continuously analyze data to prevent production gaps.
The IoT-connected manufacturing plant potential multiplies by a significant margin.
As with earlier industrial revolutions, implementing the IIoT will not be easy.
But, avoid falling behind the curve in your firm’s digital transformation route due to common misconceptions.
Assessing IIoT’s ability to address your business concerns accurately and weighing the benefits against potential costs is critical to a successful deployment.
