12Jul Rise of the Internet of Things Jobs by Bojana Bajic R&D Known as the Internet of Things (IoT), there are now over 30 billion items with the ability to connect digitally, and the predictive manufacturing industry continues to grow, thanks to the skills of trained professionals. The development of IoT jobs and their crucial role in keeping up with demand has meant that there is no shortage of job opportunities on the horizon. In 2019, nearly two-thirds (61%) of companies globally implemented IoT applications, and that number continues to grow as the world evolves.With this in mind, Distrelec has analyzed the companies recruiting for IoT jobs, the total number of active listings globally, and the most desirable jobs in 2022. Read More
6Jul Edge Computing – Technology of Industry 5.0 Era by Bojana Bajic R&D 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
13Jun Industry 5.0: human-centric, resilient and sustainable strategy by Bojana Bajic R&D Industry 5.0 represents the concept of transition to a human–centric, sustainable, and resilient manufacturing system driven by advanced technologies. However, the greatest potential for innovation in the industry is reflected in the application of advanced digital technologies. The era of advanced digital technologies has been started by the fourth-industrial revolution, better known as Industry 4.0. Many industries expect Industry 4.0 to have a significant impact on their supply chains, manufacturing processes, and business models. Thus, Industry 4.0 is a technological concept offering a promise of enhancement in efficiency through digital connectivity and AI, but reporting a lot of implementation challenges. Read More
2May Industry 4.0 Implementation Challenges and Opportunities: A Technological Perspective by Bojana Bajic R&D During the last decade, we have witnessed steady movement of industry and academia toward Industry 4.0. Industry 4.0 is a concept aimed at achieving the integration of physical and cybernetic parts of the manufacturing process via networks and driven by Industry 4.0 technology categories used for the prediction, control, maintenance, and integration of manufacturing processes (i.e., cyberphysical systems, Internet of Things, big data analytics, cloud computing, fog and edge computing, augmented and virtual reality, robotics, cybersecurity, semantic web technologies, and additive manufacturing). However, the research on implementing Industry 4.0 is lagging behind. Read More
25Feb Machine Learning Techniques for Smart Manufacturing: Applications and Challenges in Industry 4.0 by Bojana Bajic R&D 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