Following the demand to follow industry 4.0 is very important. One of them is by registering in an industry 4.0 analytics course Malaysia. In this article, we will share with you the challenges in industry 4.0 and relevant academic courses that are receiving high demand in industry 4.0.
The Challenges in the Industry 4.0
Technical Skills Gap: The workforce’s needs are constantly changing. Are your employees up to the task? Look for applicants who have digital skills as that shows they understand both the manufacturing processes and the digital tools that support those processes, when filling open positions. Business models will only be able to successfully implement new technology and maintain operations if they have the right workforce.
Data Sensitivity: Concerns about the ownership, management, and privacy of data and intellectual property increase as technology develops. What is a common example? Data is required to train and test an AI algorithm before it can be successfully implemented. This can only happen if the data is shared. However, a lot of companies are reluctant to give their data to developers of outside solutions. Additionally, our current intra-organizational data governance policies are insufficient to support cross-organizational data sharing. Data is a precious asset that needs to be protected.
Interoperability: The lack of distinction between protocols, components, products, and systems is another important problem. Unfortunately, interoperability limits businesses’ ability to innovate. Interoperability also limits options for upgrading system components because they cannot easily “swap out” one vendor for another or one part of the system for another.
Security: The threat posed by existing and new factory vulnerabilities is another significant worry. When numerous machines and devices in a smart factory are linked to one or more networks, flaws in any of those pieces of technology could cause the system to become insecure and vulnerable. Companies must anticipate both enterprise system vulnerabilities and machine level operational vulnerabilities to combat this issue. Many businesses are not fully prepared to deal with these security threats, relying on their technology and solution providers to identify vulnerabilities.
The Relevant Academic Courses to meet 4.0 industrial skills
- Computer Science
- Analytics Course
- Data Science
- Artificial Intelligence
- Information Technology
- Software Development/ Software Engineering
- Mobile Computing
- Cloud Computing
- Cybersecurity
- Robotics Engineering
- Game Development
- Mechanical Engineering
Benefits of studying analytics
- Improve decision-making skills and business forecasting
- Conduct effective marketing strategies
- Improve operations
- Improve customer services
- Mitigate fraud
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