EDITOR ’ S QUESTION
Agility in technological transformation has never been so essential to improve business performance as it is now . Using it makes it possible to have all assets in a digital platform , identify failures in operation and correct them at the right time without interruptions . Also , identify opportunities for improvement in the processes through emerging technologies that facilitate predictive analytics and help leaders to have a much broader perspective on possible future scenarios .
We cannot forget that , with the arrival of the industrial age , data has become fundamental for any organization and finding digital tools that help manage and understand it is essential . Therefore , today ’ s companies are acquiring cutting-edge technology to collect all the data generated in the different phases of the product life cycle and analyze and exploit them to optimize and improve their manufacturing processes and services .
This technological and increasingly autonomous scenario enters what is now known as the Digital Twin ( DT ). This concept refers to the constantly updated digital representation ( in real-time ) of the behaviors of physical systems .
What does this mean ? This tool can facilitate real-time mirroring of physical systems and interaction with virtual space , rapid comparison between retrospective or estimated data and real-time data .
The autonomous evolution of the represented system is another of its characteristics and the supervision and remote control in real-time ( that is , to monitor the system ’ s performance and remotely control through feedback mechanisms ).
All these characteristics have innumerable advantages , among which the following stand out :
• Greater efficiency and safety : Mean greater autonomy for humans to focus on more creative and innovative jobs .
• Predictive maintenance and scheduling : Through intelligent data analysis , system failures can be detected well in advance , reducing downtime and improving resources productivity .
• Scenarios and risks evaluation : Made through the disturbance of the simulated system to synthesize unexpected methods and study the system ’ s response and the corresponding mitigation strategies .
• Better intra- and inter-team effort and collaboration : With greater autonomy and all the information at their fingertips , teams can better use their time in improving teamwork and partnerships that lead to greater productivity .
• More efficient and informed decision support systems : The availability of quantitative data and advanced analytics in real-time help make more informed and faster decisions . Different analysis levels can connect , allowing system performance optimization and business visibility .
• Better documentation and communication : Information readily available in real-time , combined with automated reports , help to keep stakeholders informed while improving transparency . p
Agility in technological transformation has never been so essential to improve business performance as it is now .
ALBERTO PEREIRA , SOLUTIONS ENGINEER AND SENIOR
DIRECTOR , ORACLE
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