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What are Digital Twins?
A digital twin is a virtualised depiction of the operating condition of a physical object, process, system, or service.
Digital Twins definition
The concept of digital twin comprises three elements: a physical twin in the real world, a digital twin in virtual space that depicts all historic and real-time operating data about the physical twin, and interconnectivity that enables the two to share information. Digital twins can be used to run simulations and to look inside the operating twin to monitor processes and seek out potential failures.
Why Digital Twins?
Assets generate millions of data points that can be analysed for value. Digital twins can help improve efficiency, fix problems before they occur, develop new offerings, address design issues early, train employees, foster innovation, and much more. All stakeholders have access to the same always-up-to-date, real-time digital twin from anywhere in the world, ensuring effective collaboration.
Why HPE for Digital Twins?
To fully leverage digital twin technology, you need a reliable partner with market-leading high-performance computing (HPC), IoT, imaging, and infrastructure solutions. HPE offers a comprehensive portfolio of solutions and services, and the best ecosystem of partners to help you get the full benefits of digital twin technologies. HPE has for decades helped customers innovate, achieve new levels of profits and performance, simplify system and data management, and reduce costs and complexity.
Speak with an HPE expert about how you can get started with digital twins.
Resources for Digital Twins
Guest blog written by Bill Mannel, VP & GM – HPC, Big Data & IoT Solutions, HPE Servers Simulation has revolutionised product design and manufacturing across many
Incredible things happen when pioneers of industry come together. HPE and GE Digital are revolutionising the way industrial customers do business – with technologies that digitise, analyse, and learn from an valuable operations data.
Global Disruption in Asset Performance Management