Data science uses scientific methods, algorithms, processes, and systems to collate and assess information from both structured and unstructured data, which can then be used for a wide range of applications.
As a concept, data science is closely linked to areas including big data, data mining and machine learning.
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By turning statistics and data analysis into methods to understand real phenomena it is possible to gain new insights into even the most established of industries. The use of this data can help optimise operations and make informed decisions.
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Data science is being used for structural integrity through the deployment of digital twin technology, machine learning for improved processes, and artificial intelligence for designing alloys and solving challenges. Data science is becoming an increasingly integral part of manufacturing, fault detection, risk management and failure investigation too.
TWI’s experience in these areas allows us to draw on a wealth of data to help make informed decisions and assess potential challenges or problems. Our knowledge and expertise crosses between different industries, allowing us to cross-reference data and knowledge to find innovative solutions for our Industrial Members.