An exclusive virtual event consisting of top-level content and thought leadership discussions exploring the digital transformation ecosystem.
Keep your digital twin in-sync with field changes
Thomas Grand
COO at Samp
Thomas Grand, the COO & Head of Sales at Samp, a leading digital industrial company. With over 20 years of experience at the intersection of heavy industry and digital systems, Thomas has invaluable insights. In this blog, we’ll uncover his strategies for keeping your digital twin in-sync with field changes, a crucial aspect of modern industry.
Thomas Grand had stressed the significance of maintaining the accuracy of digital twins in industries where machines and facilities played a pivotal role. He had highlighted the fact that as time passed, real-world changes such as weather and wear could create disparities between the digital twin and the actual machinery, potentially leading to operational problems. However, Thomas had underlined that Samp’s AI technology had effectively addressed this issue by establishing a connection between real-world measurements and the digital twin, ensuring they remained in sync. This real-time synchronization had empowered all stakeholders to monitor the machine’s performance and compare it with its digital counterpart, resulting in improved operational efficiency and safety. In simpler terms, it was akin to ensuring that your map accurately reflected the actual terrain, thereby guaranteeing smooth and hassle-free operations.
Thomas Grand had stressed the significance of maintaining the accuracy of digital twins in industries where machines and facilities played a pivotal role. He had highlighted the fact that as time passed, real-world changes such as weather and wear could create disparities between the digital twin and the actual machinery, potentially leading to operational problems. However, Thomas had underlined that Samp’s AI technology had effectively addressed this issue by establishing a connection between real-world measurements and the digital twin, ensuring they remained in sync. This real-time synchronization had empowered all stakeholders to monitor the machine’s performance and compare it with its digital counterpart, resulting in improved operational efficiency and safety. In simpler terms, it was akin to ensuring that your map accurately reflected the actual terrain, thereby guaranteeing smooth and hassle-free operations.
- From the moment it is built, an industrial facility starts drifting away from engineering data.
- Digital Twin: Process improvement and equipment integrity
- Machine Learning: an ideal tool to build hydrid model
- Connect’In® : Reinforcement of client-licensor confidence with SaaS
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