Industry 4.0 Manufacturing in 2020

Industry 4.0 Manufacturing in 2020

The vital trends to watch for in 2020 revolve around efforts to connect smart-component technologies and their resultant data into functional systems, keep those systems secure, and cultivate a thriving workforce for a maturing Industry 4.0. A lot of Tier 2 and Tier 3 suppliers are going into automation in a more thoughtful, strategic way, using sensors and AI with IoT connectivity.

Edge computing reduces the latency of processing and uses much less bandwidth. It also has the potential to offer significantly better cyber security if it can keep enough private data off the cloud and its vendor-updated security features are good.

The lack of qualified workers has influenced many midsize manufacturers’ embrace of automation and other Industry 4.0 technologies. In fact, automation is creating higher-paying jobs for maintenance technicians. Other factory job wages have increased somewhat, but not as much as the labor shortage would suggest.

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About the author

Dr. Mariana Damova is the CEO of Mozaika, a company providing research and solutions in the field of data science, reasoning with natural language semantics, and natural human computer interfaces, creativity enhancing applications, and research infrastructures for the humanities. Previously, she was a Business development Manager and a Knowledge Management Expert specializing in ontology engineering and linked data management at a world leading technology provider. She was instrumental in the successful winning and knowledge modelling of large data integration and management projects such as the Semantic Knowledge Base for The National Archive of the United Kingdom and Research Space for the British Museum, as well as European FP7 projects such as Europeana Creative and Multisensor. Her work focuses on the design and development of data integration infrastructures which allow efficient querying, access and navigation over linked data. She has managed the building of the official experimental Europeana SPARQL endpoint holding Europeana semantic data. Mariana holds a PhD from the University of Stuttgart and teaches semantic technologies and multimedia at the New Bulgarian University in Sofia. She regularly reviews books and articles for ACM and has authored books and scientific articles in linguistics and semantic technologies. She has successfully lead international interdisciplinary teams and projects carrying technological risks, driven and managed change in engineering and operational contexts in North America and in Europe, and acquired the ability to leverage marketing requirements with knowledge intense technological solutions.

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