𝐃𝐢𝐠𝐢𝐭𝐚𝐥 𝐓𝐰𝐢𝐧: 𝐁𝐫𝐢𝐝𝐠𝐢𝐧𝐠 𝐭𝐡𝐞 𝐏𝐡𝐲𝐬𝐢𝐜𝐚𝐥 𝐚𝐧𝐝 𝐃𝐢𝐠𝐢𝐭𝐚𝐥 𝐖𝐨𝐫𝐥𝐝𝐬 𝗗𝗼𝘄𝗻𝗹𝗼𝗮𝗱 𝗣𝗗𝗙:https://lnkd.in/egngSx32 A Digital Twin is a virtual representation of a physical object, process, or system that allows real-time monitoring, simulation, and analysis. By combining data from sensors, IoT devices, artificial intelligence, and cloud computing, digital twins create a dynamic model that mirrors its real-world counterpart. This technology enables engineers, designers, and businesses to visualize performance, predict failures, and optimize processes before applying changes in reality. It is widely used in industries such as manufacturing, healthcare, energy, transportation, and smart cities, offering a new level of efficiency and innovation. The concept of Digital Twin goes beyond simple modeling, as it integrates continuous feedback and learning from the physical environment. For instance, in manufacturing, digital twins can predict equipment breakdowns and improve product quality, while in healthcare, they can simulate patient outcomes for personalized treatments. The growing focus on sustainability, operational excellence, and digital transformation is further accelerating adoption. As organizations embrace Industry 4.0 and advanced technologies, Digital Twin is emerging as a powerful tool to bridge the gap between the physical and digital worlds, enabling smarter decision-making and future-ready solutions By Type:  -Product Digital Twin -Process Digital Twin -System Digital Twin By Application: -Product design and development -Machine and equipment health monitoring -Process support and service