Manufacturing Trends in 2020

Manufacturing Trends in 2020

According to the Association of Equipment Manufacturers, manufacturers of all types and sizes are increasingly looking into wearable devices with different sensors that can be used by their workforce. This is made possible by the rise of the Internet of Things (IoT) in industrial applications.

Another trend, predictive maintenance is a method of preventing asset failure by analyzing production data to identify patterns and predict issues before they happen. It gives manufacturers the means to optimize maintenance tasks in real time, extending the life of their machinery and avoiding disruption to their operations.

The factories of tomorrow will rely greatly on sensor technology, and they will prominently feature connected tools, utilizing data to guide the tasks of the workforce. 5G’s high capacity, wireless flexibility and low-latency performance make it the perfect choice to support manufacturers.

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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 ComputingReviews.com 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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