t cht lk
t cht lk
Deepak Ramanathan , Vice President , Global Technology Practice , SAS
software , data storage , analytics tools and skilled personnel . Organisations must carefully consider the financial implications and potential return on investment .
The keys to overcoming barriers to digital twin use cases
Recent AI advancements such as synthetic data generation and LLMs have the potential to address some of the challenges in leveraging digital twin technologies .
Artificial data that emulates real-world data can assist in training , testing and validating digital twin models , especially when obtaining sufficient realworld data is impractical . By generating synthetic data that is consistent , error-free and representative of real-world data , organisations can enhance the quality and reliability of data used for digital twins and reduce the risk of inaccuracies or biases present in real-world data .
A giant leap towards Singapore ’ s future
Digital twins are crucial for Singapore ’ s smart nation aspirations as it presents both an opportunity for the manufacturing sector to innovate , as well as the means for the government to implement smart city projects better .
Whether it is through preventive maintenance , better product design , or optimised assembly lines and supply chains , manufacturers are equipped to make smarter decisions and address production issues faster .
In addition , urban planners can better identify where smart city technologies can have the greatest impact through real-time monitoring of metrics such as energy consumption and traffic volume , as well as making better predictions based on how various systems will perform in the future .
Furthermore , the generation of artificial data allows businesses to create diverse datasets encompassing a wide range of scenarios or conditions that may not be present in real-world data . This empowers organisations to conduct controlled experiments and simulate scenarios without imposing any risk or impact on real-world assets . Synthetic data generation and LLMs provide avenues for achieving these goals without relying on expensive data collection efforts .
Simulating entire infrastructure projects from start to finish will enable planners to avoid costly implementation errors and keep the adverse impact on people and the urban landscape to a minimum .
Through its multiple impacts on one of the most important economic sectors of the country , as well as the country ’ s urban landscape , digital twin technologies comprise a stepping stone towards the future of Singapore . p
www . intelligentcio . com INTELLIGENTCIO APAC 77