Posts for Industry 4.0

Though Industry 4.0 pans out beyond Artificial Intelligence, the majority of the changes begin with AI and AI-assisted technology.
Artificial Intelligence

Artificial Intelligence – The driving force of Industry 4.0

A standing proof that Industry 4.0 is driven by contribution from Artificial Intelligence (AI)


While the focus on Industry 4.0 is primarily based on sensors, data connectivity, cameras, etc., Artificial Intelligence is the cornerstone of this revolution. Any process involving human-machine interaction is enhanced by AI. Automation may amount to the majority of AI processes, but it contributes much more to the smart factory systems. They improve efficiency and assist maintain a better supply chain. The significance of AI also helps industries strategically plan their investments in implementing and adapting to Industry 4.0. Machine learning predominantly contributes to AI involvement in industries. Below is a small assessment on how AI has been contributing to Industry 4.0 since the beginning, acting as the driving force of the revolution.

Before Industry 4.0

Industry 3.0 was the beginning of using machines to replace human labor. The use of robots and Programmable Logic Controllers proved to be the beginning of automation. However, they required human intervention for maintenance and operations and weren’t fully autonomous. Industry 4.0 became an extension of this in making these machines more efficient and reliable without human intervention.

It is now clearly understood that Artificial Intelligence has been a part of the industrial revolution much before Industry 4.0. This phase began with making these AI better and more efficient. Collaborations with data collection, sensors, connectivity, live data updates, feature engineering, machine learning, cyber-physical systems, to name a few, have resulted in what is now viewed as a whole revolution. The recent trend is AIoT which is the combined application of Artificial Intelligence and the Internet of Things.

How AI Has Enhanced The Processes In Industry 4.0?

What seemed to be the problems at the end of Industry 3.0 were resolved to mark the beginning of Industry 4.0. It is evident that AI has been the major contributor to this transition. Though Industry 4.0 pans out beyond Artificial Intelligence, the majority of the changes begin with AI and AI-assisted technology.

1. Predictive Maintenance

Machine learning has been the most sought-after feature of AI in industries. Instead of waiting for specific schedules for maintenance, the machines themselves predict issues and maintenance schedules using algorithms, resulting in uninterrupted and cost-efficient production. A longer Remaining Useful Life (RUL) of machines and the requirement of small labor to take care of them is the major take away.

2. Quality

More and more complicated systems are in use today and this requires the utmost consistency in quality. Any manager in an industry would deem quality as the top priority to maintain and increase customer base. As already mentioned, machine learning contributes to quality checks and alerts in the smallest drop of quality with its algorithm and simultaneously collecting this data for future operations, product development and important business decisions.

3. Robots For Human Safety

In a factory environment, human-robot collaboration has been the norm. AI will play a major role in ensuring the safety of human workers and holding more responsibility in major decision making based on data collected on the production floor.

4. Generative Design

The collected data can be used in the development of other products using the AI algorithm. This can include aspects like materials, production methods, time constraints, and budget limitations. This ensures a better testing phase with higher possibilities of the product being approved as most of the issues are dealt with in the design phase itself.

5. Supply Chain

AI is not only a part of the production floor. It also contributes data to study the market and identify demand patterns under various circumstances including political situations, date, location, economic behavior, etc. This helps the organizations to optimize manufacturing units based on the prediction and act on real-time data provided by the AI.

While Industry 4.0 is considered as the enhancement of what the industries saw in the previous revolution, the introduction of smart factories has only meant that the skills of human labor should be increased to focus on higher levels while the machines take care of the basic and vital issues. Read more on 4 compulsive advantages of Industry 4.0

Written by Jayashree in September 26, 2019
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Industrial Internet of Things (IIoT) is the Integration of Information Technology and Operational Technology for a revolutionary move of every organization.
Internet of Things (IoT)

What You Should Know About Industrial IoT (IIoT)?

A sneak peek on the internal processes and challenges in implementing Industrial IoT (IIoT).


A company uses an app to ensure that their machines have enough fuel at all times and details regarding the replacement as and when required. The operators also have instant access to all such key indicators in real-time, making it ‘human error-proof’ and increasing efficiency. This was just the beginning of the Industrial Internet of Things (IIoT), which focuses on automation, operational efficiency, maintenance, and many more mature operational aspects leading to industrial transformation. Some major industries relying on IIoT and making it more futuristic with time include logistics and transportation, manufacturing, energy, and utilities, etc. Know how Digital Transformation is shaping the future of the logistics industry.

If a production line that is miles away, monitored by automation and robots, stops due to a technical snag, a technician has to travel all the way to identify the problem, find the solution and then fix it. What if the robot had indicated beforehand that it needed maintenance? What if the technician could read the problem remotely and rectify it from where he/she is? Such is the opportunity provided by IIoT.

The Principle Benefits of Industrial IoT (IIoT)

Adopting a system that makes human labor easier and production more efficient obviously has crucial benefits. Some include,

  • Maximum utilization of assets
  • Better operational efficiency
  • Creating new business opportunities
  • Cost-efficient
  • Reducing downtime

How Can Organizations Optimize IIoT Projects?

While most of the organizations are looking to adopt Industrial IoT, only a handful are successful to see the end of it. The following are some of the ways to ensure that the whole process sees the daylight and continues to work on more complex applications in the future.

1. Start small

A massive and sudden change may be difficult to implement and also confuse employees. It is also important to experiment with the risk taken initially to be ready to face failures if any.

2. Legacy equipment

It is important to check the existing equipment for their readiness for transformation. If they are too old or not compatible with technical upgrades, necessary steps should be taken to prepare them.

3. Build partnerships

Internal partnerships between teams and required external partnerships to get things started would go a long way in creating an adaptable environment for IIoT.

4. Focus on analytics

All the big data collected should be put to proper use with proper insights, action plans, and automation. The collection of more data is also crucial to keep the systems updated.

5. Security

The biggest challenge in the Internet of Things is security. From the beginning, the security of connected systems and applications should be monitored. Rootquotient is one of the Top Mobile App Development Companies practicing security by design and embedded security since there are multiple components involved.

Talking of challenges, as with any technology, IIoT also faces challenges in implementation. Educating the employees about the change in process, security, data collection, connectivity, and visibility are the current challenges, to name a few. Integration of Information Technology and Operational Technology could result in what may be a revolutionary move for the organization.

With the right monetary investment and commitment to developing the industry’s infrastructure and be prepared for rapidly changing working systems, the initial challenges can be overcome with ease. A systematic approach of applying contemporary data management and analytic systems will add value to IIoT. Get in touch with our experts to know more about leveraging the power of connected systems by implementing the Internet of Things (IoT) in your organization.

Written by Jayashree in September 12, 2019
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Elevating the business model with aspects like digital transformation, automation, large data collection, IoT and many more advantages of Industry 4.0
Business

4 Compulsive Advantages Of Industry 4.0

A perspective of the revolution, Industry 4.0 as it finds itself in a transitional phase.


When computers were introduced to the world, the revolution it created still stands fresh in the minds of those who witnessed it. Such waves created by technology are never-ending and right now, we are at the next transitional phase, which has been brewing for quite some time and is all set to lead to a new high in the industries. While some claim that Industry 4.0 is a mere marketing gimmick, one cannot help but notice the huge impact it is already creating in various forms like AI, Internet of Things, Cloud technology, big data and analytics, cybersecurity, augmented reality, etc. Industry 4.0 is the revolution that is believed to be the extension of what appeared in Industry 3.0. It is about how to revolutionize the whole process of business and its growth.

Why It Is Better To Adapt An Industry 4.0 Model?

No industry is devoid of technological dependence. Elevating the business model with aspects like digital transformation, automation, large data collection, and many more specific ones naturally have several advantages.

1. Competition against big companies

A startup, with the right investment in technology and digitization, would be on a similar platform as any giant in the same field. With all businesses, big and small, working on similar developments and having similar investments, large corporations also collaborate more with smaller firms to help them move faster in the direction of industry 4.0, thus making the competition almost equal or keeping them on a level playing field with corporate giants.

2. Attract more young blood

Modern and innovative technology attracts young and new workers as even education focuses on these specific needs of the industry. Businesses are at an advantage when the resources are pre-trained rather than investing time and energy in training the existing resources. Fresh minds also mean fresh ideas. In a business world demanding constant innovation and rapid growth, there couldn’t be a better time for both businesses and youngsters to grow together.

3. Resolve potential issues before they latch on to the progress

Automation, real-time data, predictive analysis, etc. can save a humongous amount of time in terms of problem-solving. They assist in identifying potential issues and not letting them grow into bigger ones.

4. Cost effective

The technology involved in industry 4.0 revolves around optimizing all aspects of the business process, which eventually leads to smarter and faster decision making. Better efficiency means increased profit.

There is a ‘digital compass’ that helps companies identify their needs and find the necessary tools to achieve them.

Why Some View It Is A Marketing Fad?

There is always one section of the world against revolutions. This group believes that industry 4.0 is a marketing fad and what looks like valid reasoning is nothing but a myth to be easily busted. Unlike other revolutions, this does not involve groundbreaking inventions. This is more of an extension to what is already available from industry 3.0. Innovations, extensions, and betterment of technology can be categorized as a revolution if they result in faster and unimaginable changes in a short span.

Another reason could be that this being a transitional phase, there isn’t a clear and widespread adaptation to the newer models. Companies are experimenting and trying to implement them within the current business models. When all businesses rely on them and the cycle is complete, it would register more like a business revolution than as a marketing fad.

There are formidable challenges in adapting to new technologies and working models. However, the future looks bright as resources would be equipped already and needn’t be trained on these specific skills. Once the businesses get hold of this rapid growth and transition, wiser decisions and utilizing the wider scope smartly would make them unstoppable. The impact of digital transformation in business proves to be learning curves for businesses to be quick and sure of the unique kind of transformation needed for them. This looks to be a swift transition and it is not long before that we see its full impact on industries.

Written by Jayashree in August 15, 2019
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