VIEWPOINT
THE BRAINS BEHIND THE DIGITAL TWIN AI IS THE BRAINS BEHIND THE DIGITAL TWIN, TURNING DATA INTO INSIGHTS THAT CAN TRANSFORM A BUSINESS. THESE ANALYTICS CAN BE BROKEN DOWN INTO DISTINCT CATEGORIES – THE ‘FIVE P’S OF INDUSTRIAL AI – WHICH CAN IMPROVE OPERATIONS IN NEW AND EXCITING WAYS, SAYS JIM CHAPPELL, GLOBAL HEAD OF AI AND ADVANCED ANALYTICS, AVEVA.
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ver the past 20 years, artificial intelligence (AI) has significantly transformed industry, taking an organisation’s ability to optimise processes and proactively detect and solve problems to a whole new level. As a result of the increasing adoption of digital transformation, AI continues to provide benefits across a range of industrial processes. This has resulted in the extensive use of digital twins – virtual representations of physical objects, systems or factories that are created through data gathered from Internet of 28
CXO INSIGHT ME
JANUARY 2022
Things (IoT) devices, advanced computer systems and digital processes. AI is the brain behind the digital twin. By applying various forms of AI – such as neural networks, computer vision, and machine learning – in different ways, it can create targeted solutions presented in the form of analytics. Once a digital twin has been put into operation, AI analytics provide insights than can help everything from enhancing operations for safe and profitable processes, through to automating monitoring and control processes to ensure safety and performance.
From an industrial perspective, these can be broken down into five categories: predictive, performance, prescriptive, prognostic and perceptive analytics. Predictive Predictive analytics is one of the most common advanced technologies used by industry, utilising big data and machine learning to spot anomalies in processes and assets. This can highlight current inefficiencies, enabling workers to optimise processes, but also warn of future equipment failure days, weeks or even months in advance.
