Intelligent CIO Middle East Issue 106 | Page 45

FEATURE : DIGITAL TWINS what you need to achieve to improve business performance , both short-term aims and long-term goals . Audit the solutions that you currently have and identify areas that you need to improve .
One of the benefits of today ’ s solutions is that there is no one and done approach . Choose technology that scales easily enabling you to add additional tools as required and scale to more users and assets if needed . Find a trusted partner who will be best placed to guide you through the choice of solutions to build a digital twin that aligns with your organisational needs .
“ In 2024 , nearly 50 % of large industrial companies are expected to use digital twins , enhancing their product development cycles and operational efficiency ,” says PlanRadar ’ s Imam .
To effectively use digital twins , businesses need a mix of technical and business skills . IT professionals should understand data management , system integration , and AI-driven analytics . Cybersecurity is also crucial to protect the integrity of the digital twin .
On the business side , leaders need strategic thinking skills and the ability to turn complex data into actionable insights that support business goals . Good communication and collaboration skills are essential for ensuring that teams can work together effectively . p
From left to right : Avinash Gujje , Practice Head , Cloud Box Technologies , Simon Bennett , Director Innovation and Incubation , AVEVA , Ibrahim Imam , Co-Founder and CEO , MENA + APAC , PlanRadar
Key takeaways
• Digital twin usage varies and each organisation make its own unique case for adopting them .
• Organisations reap benefits from combined data and information sources , improving decision-making and collaboration across teams .
• In 2024 , nearly 50 % of large industrial companies are expected to use digital twins .
• By 2025 , over 60 % of global manufacturing companies are expected to implement Industry 4.0 solutions .
• One of the benefits of today ’ s solutions is that there is no one and done approach .
• Choose technology that scales easily enabling you to add additional tools as required and scale to more users and assets if needed .
• Usage of digital twins is being primarily driven by the integration of IoT devices , AI , and real-time data analytics .
• Digital twin technology allows the creation of virtual replicas of physical assets , enabling real-time monitoring .
• Digital twins provide decision-makers with a comprehensive view of processes and assets for making well-informed decisions .
• Companies leveraging Industry 4.0 technologies can report
up to 30 % increases in productivity and 20 % reductions in operational costs .
• Implementing a digital twin offers enterprises the ability to closely monitor and optimise their operations with real-time data analysis .
• By monitoring assets in real time , organisations can detect potential issues early on and schedule preventative maintenance .
• A bottom-up efforts will fail to converge towards an integrated digital twin of the business without a clear vision from top-down .
• Enabling technologies used to create and deploy digital twins are different at various levels of the enterprise value chain .
• Enterprises are finding it difficult to bring it all together as part of their digital transformation journey and roadmap .
• Implementation demands a substantial investment of time and resources , including training employees to maintain the digital twin .
• Management of large volumes of data generated by digital twins , requires robust storage , processing , and analysis .
• Security of sensitive data is also a critical issue necessitating stringent cybersecurity measures .
• With the right teams supporting them , digital twins are powerful tools for delivering complete projects more efficiently .
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