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With AI and 3D content creation, we can expect digital twins to have the potential to reshape various sectors and improve our daily lives. “Regardless of infrastructure type, over time the digital twin of an asset or a project will become both its lifeblood and its central nervous system. We believe that to achieve sustainable infrastructure digital twins, it is imperative that you build your systems around open-source technology so the keys to your destiny remain in your hands.” – Keith Bentley, Founder & CIO, Bentley Systems. Digital Twins have captured the attention of businesses across various industries due to their potential to enhance operations, product offerings, and overall business value. Originally inspired by the space program, recent developments in Digital Twin ideas have paved the way for their widespread deployment. Today, customers are eager to deploy Digital Twins across various applications, including engineering design, 3D immersive environments, preventive maintenance, industrial operations, precision medicine, digital agriculture, manufacturing, city planning, and the emerging metaverse. 1. Challenges in Defining Digital Twins While the concept of Digital Twins holds immense promise, a challenge lies in the broad application of the term, leading to confusion among customers. Digital Twins encompass a wide range of virtual models, including engineering simulations, CAD models, IoT dashboards, and gaming environments. This raises questions about whether renaming existing methods will truly drive new business value. Visit AITechPark for cutting-edge Tech Trends around AI, ML, Cybersecurity, along with AITech News, and timely updates from industry professionals
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