IoT as the Key Enabler for IR 4.0
We have been talking and yearning for the IR 4.0 adoption for several years. With all-new technology adoption, it takes time to build applications and embraces them in our daily lives. Especially when IR 4.0 is comprised of several key technologies such as IoT, AI, VR/AR, Blockchain, Big Data Analytics, Cloud Computing, and many more.
The power of AI can be realized with the amount of data that we can collect and this data can come in many forms. One of them is via the “things” which are equipped with sensors. This is where we need to start our journey of IR 4.0 by collecting important data from deploying IoT applications. We need to learn as many insights from various business cases such as building maintenance, asset tracking, transportation, security, and many more.
Since IoT is comprised of 4 main components i.e. sensors, connectivity, platform, and analytics/applications, it requires different kinds of subject matter experts and companies that focus on their certain area of expertise. It requires the whole ecosystem to deliver end-to-end IoT solutions.
Building IoT Talent
Even before we can build any IoT solution, we need to build IoT talent – which is quite scarce nowadays. Thus, how do we develop this talent? Why aren’t the industries have enough supply of talent? Where are they?
We can build the talents in two ways (1) On the job training and (2) When they are in academia.
While the Universities and colleges are slowly churning out the talents, the industries have no other way but to train their staff either on-job or go for some professional training.
Another challenge why the Universities and Colleges are slow in introducing new courses such as IoT is because (1) their own lecturers lacked the required knowledge to teach and (2) the process to introduce new courses takes time due to bureaucracy.
Learn and Teach IoT
In FAVORIOT, we took the approach “Learn and Teach IoT“. To create new talents in IoT, we need to start “Train the Trainer”. Teach them a full understanding of the Internet of Things and how to start building their IoT projects.
Learning IoT can be from different approaches – for example, electrical and electronic engineering students would like to approach by building their own IoT devices (hardware). And the computer science or computer engineering student might want to approach by building applications and new insights from the data that they have collected from the sensors.
However, both approaches require them to either send the data to an IoT platform or retrieve the data from the platform for further analysis. In all IoT deployments, we require an IoT platform to easily connect the sensors and aggregate the data. And this is where most IoT projects failed to be built rapidly or to scale with different IoT devices.
Once we had the “trainer” being trained and certified, they can now start to quickly teach their own students. The students can now learn IoT in the proper way and equip themselves to build a better Final Year IoT Project that addresses real industry problems.
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Who Benefits
- Lecturers
- School Teachers
- Professional IoT Trainers
- Students
- Freelancers
- System Integrators
- IT staffs
What Next After “Learn and Teach” IoT
The ultimate vision will be the deployment of successful IoT projects. The skills that the person has gained will be sufficient for them to either build their own IoT projects or for their customers and deploy them successfully.
By using the “Build and Deploy” approach, we would like to see the quick growth of IoT deployments nationwide and finally, become an IR 4.0 nation.
Learn and Teach IoT
Here’s what you can do. Start learning or teaching the Internet of Things from Beginner to Specialist level.
About the Author
Dr. Mazlan Abbas is an IOT Evangelist, Thought Leader, and CEO of FAVORIOT. He is very passionate to build a Generation IoT of the future. And currently, his company, Favoriot, is offering a FREE IoT platform subscription to start your IoT journey in a simple and rapid manner
