Should we be concerned with collecting, moving, storing massive amounts of data that is produced by sensor-enabled machines and their digital twins? How is security and data management being addressed? Explore data security and data management.
- In the digital twin domain, … data is at the core of value creation. … Subsequently, how that data is managed … and secured must be a priority. … I've discussed the importance … of data and analytics previously, … so here I'll focus on the security aspects … of data management. … Let's briefly describe the data environment … of a simple digital twin ecosystem. … First, in the Design phrase, … as a virtual product is being designed and simulated … potentially high volumes of data are created, … stored and analyzed. … Next, in the Build or production phase, … data is collected by sensors in real time … and this data travels over a network to a collection point. … This could be a local data center, but it could also be, … and it's increasing likely to be, in the cloud. … Third, during operations and maintenance, … much like in the Build phase, … volumes of valuable data are collected, … transmitted, analyzed and stored. … In both Build and Operate, … data can also be sent to sensors and systems, …
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Video: Security and data management