Intelligent CIO Middle East Issue 106 | Page 42

FEATURE : DIGITAL TWINS
By 2025 , over 60 % of global manufacturing companies are expected to implement Industry 4.0 solutions , reflecting rapid digital transformation across industries aiming for smarter , more efficient operations , while the use of digital twins is being driven by integration of IoT devices , AI , and real-time data analytics . Executives from
Cloud Box , AVEVA , PlanRadar , share their insights .

Digital twin usage varies from industry to industry , business to business , and each organisation make its own unique case for adopting them . As technologies move forwards , there are many ways to combine new competencies to enhance the ideology of a digital twin further .

“ Organisations reap benefits from combined data and information sources , improving decision-making and collaboration across teams . AVEVA has customers who have recognised this opportunity over the years such as ADNOC , SHELL , Gwinnett , Wood , or BASF ,” says Simon Bennett , Director Innovation and Incubation , AVEVA .
“ Enterprises globally are embracing Industry 4.0 , making digital twin technology essential . It optimizes physical assets , processes , or systems by simulating , monitoring , and analysing them in a virtual environment , reducing downtime . Digital twins leverage IoT devices , data analytics , and cloud computing to create efficient platforms ,” says Avinash Gujje , Practice Head , Cloud Box Technologies .
AI and ML algorithms analyse vast data , recognise patterns , and optimise performance . Innovations like blockchain for decentralised ledgers and 5G for reduced latency further enhance digital twins , driving greater efficiency and innovation .
By 2025 , over 60 % of global manufacturing companies are expected to implement Industry 4.0 solutions , reflecting the rapid digital transformation across industries aiming for smarter , more efficient operations . As Industry 4.0 practices become more common , the use of digital twins is being primarily driven by the integration of IoT devices , AI , and realtime data analytics .
“ The growing advancements in this space are improving responsiveness and reducing latency . We are also seeing that new developments in AI are enhancing predictive maintenance , enabling proactive management of equipment and resources , which leads to greater efficiency and fewer operational disruptions ,” says Ibrahim Imam , Co- Founder and CEO , MENA + APAC , PlanRadar .
Return on investment
“ Digital twin technology offers numerous benefits for enterprises . It allows the creation of virtual replicas of physical assets , enabling real-time monitoring to identify and resolve bottlenecks ,” explains Avinash Gujje , Practice Head , Cloud Box Technologies .
Predictive maintenance is another advantage , where data from IoT devices is analysed by ML algorithms to predict potential failures , helping to prevent costly disruptions , such as in container ships subjected to forces that are susceptible to breaking down ending up in downtime and eventually losses .
Additionally , digital twins provides decision-makers with a comprehensive view of processes and assets , offering valuable insights for making well-informed decisions .
By leveraging the power of digital twins , organisations can unlock new opportunities and achieve higher levels of efficiency . By creating a virtual replica of physical assets or processes , businesses can monitor and analyse data to identify trends , patterns , and anomalies . With accurate and up-to-date information at their fingertips , decision-makers can optimise operations and drive better outcomes .

Why digital twins is becoming de facto in industrial enterprises

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