Examining the Data on Digital Twin Technology in the Manufacturing Sector
We at Altair have a hard time not talking about digital twin technology – after all, it represents the pinnacle of the convergence vision we’ve been pioneering for decades. By digital twin technology, we’re referring to the process of using data streams to create a digital representation of a real-world asset to improve collaboration, information access, and decision-making. These data streams require a smooth, orchestrated combination of simulation, high-performance computing (HPC), data analytics, and artificial intelligence (AI) capabilities to create a digital twin. Of course, they also require teams of experts well-versed in these respective disciplines.
But this article isn’t focused on what digital twin technology is (to learn more about that, read our digital twin overview) – instead, we want to examine how the technology is being used within the manufacturing sector.
Last year, Altair commissioned an independent, international online survey of 2,007 professionals employed throughout many target industries. The goal was to examine digital twin adoption, usage, sustainability impact, and more throughout different industries, organizational roles, geographic regions, etc. You can read our findings from that survey in our 2022 Digital Twin Global Survey Report.
This year, Altair has taken the data from that survey and shone a spotlight on the respondents that identified themselves as working within organizations in the manufacturing sector. You can read the full report, the 2023 Global Digital Twin Survey Report: Manufacturing, to see what we found. Here we’ll be highlighting the key insights we gathered from the manufacturing data.
Read the full article here.