Edge Computing

Edge Computing – Technology of Industry 5.0 Era

Edge computing is one of the hottest topics in the industry for the moment. According to Gartner by 2025 a whopping 75% of data will be processed at the edge devices. As the name indicates Edge Computing brings computing power closer to the edge of the network. This enables to store and analyze data closer to where it is generated which reduces pressure on communication networks (lowering network latency) and the heart of the network (data centers and, increasingly, the cloud).

Read More

Challenges of Big Data Analytics in Industry 4.0

Today, the rapid development of information and communication technology (ICT) leads to the generation and collection of large amounts of raw data, which represents the undiscovered source of information. The demand of the industry sectors for the constant improvement of production systems leads to the expectation that processing such data, using the advanced analytics method and technique, will have a major impact on the implementation of Industry 4.0 in the future. 

Read More

Machine Learning Techniques for Smart Manufacturing: Applications and Challenges in Industry 4.0

The Industry 4.0 is now underway, changing traditional manufacturing into smart manufacturing and creating new opportunities, where machines learn to understand those processes, interact with environment and intelligently adapt their behaviour. Big data and artificial intelligence (AI) make machines in industrial production smarter than before addressing the question of how to build computers that improve automatically through experience. Machine learning (ML), as a subfield of AI, has become the main driver of those innovations in industrial sectors, which provides the opportunity to further accelerate discovery processes as well as enhancing decision making.

Read More

Predictive Manufacturing Systems in Industry 4.0: Trends, Benefits and Challenges

The fourth industrial revolution, known as Industry 4.0, has tendency to push the boundaries of science and technology. This is especially true for the manufacturing industry. One of the biggest challenges facing the manufacturing industry today is how to make intelligent systems for production with “self-aware”, “self-predict and “self-maintain” abilities. Predictive manufacturing systems (PMS) are new intelligent systems that provide these abilities in the production, processes and machines. 

Read More