Ways Digital Twins Improve Data Center Sustainability
The concept and model of the digital twin was publicly introduced in 2002 by Michael Grieves, then of the University of Michigan, at a Society of Manufacturing Engineers conference in Troy, Michigan. Grieves proposed the digital twin as the conceptual model underlying product lifecycle management (PLM).
Digital twins made headlines in 2019 when Gartner survey revealed digital twins were entering mainstream use. “The results — especially when compared with past surveys — show that digital twins are slowly entering mainstream use,” said Benoit Lheureux, research vice president at Gartner. “We predicted that by 2022, over two-thirds of companies that have implemented IoT will have deployed at least one digital twin in production. We might actually reach that number within a year.”
And now here we are in 2022, where data is plenty, and potential for improvement is everywhere. In today’s enterprise, one of the side effects of the recent year of investment into digitalization is the wealth of data captured by every digital solution involved in an organizations business operations. The challenge — and phenomenal opportunity — is to cost effectively and easily convert the plethora of data points generated by these operational systems, into a comprehensive, understandable and useable end-to-end views.
Read this article on VentureBeat, where I discuss how digital twins could help data center teams identify automation candidates, alongside experts from Equinix, Schneider Electric, Accenture and NTT who share their own.
