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You are here: Home / White Paper / Digital Innovation Coming to Data Centers Via New Initiatives & Development Environments

Digital Innovation Coming to Data Centers Via New Initiatives & Development Environments

By Sarah Rubenoff - April 20, 2020

Digital Innovation Coming to Data Centers Via New Initiatives & Development Environments

A power room supporting lithium-ion UPS systems in a QTS Data Centers facility in Manassas, Va. (Photo: Rich Miller)

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A new report from QTS points out that the data center industry may have “lagged behind the curve” when it comes to digital innovation. Further explaining the company’s point, they describe the industry as relying heavily on human interaction to gather data, make decisions and more.

digital innovation

Get the full report.

But that may be changing, as business needs and customer expectations continue to ramp up and change at a rapid pace. Many businesses demand realtime, on-demand access to key details and data that make their company run and stay competitive.

Things like efficiency, productivity, cost control and more are driving businesses to explore and progress data center capabilities.

Projects like the  QTS Innovation Lab (QIL) and QTS’ Service Delivery Platform illustrate this shift. According to QTS, the lab is “designed to quickly and scientifically evaluate new concepts” and is “working to progress data center capabilities,” by integrating artificial intelligence, machine learning and predictive analytics into processes.

“QIL takes already-digitized data center information and sculpts it to deliver realtime, forward-thinking capabilities that forecast and automate data center operations. QIL’s accelerated process works to deliver dynamic innovations poised to change the way users interact with their environments.” — QTS, on the QTS Innovation Lab

QTS contends the data and tools are already out there to provide customers with the data center and colocation services they need to remain competitive in today’s market.

Having access to big data is the first step, according to the report. But using new technologies takes it a step further, like AI, machine learning, data analytics and visualization. The combination, QTS says, can be “game changing.”

“These technologies use complex models to aggregate silos of data and extrapolate business-driving solutions, powerful insights and seemingly endless value,” the report states.

The QIL was launched last year as an accelerated and dedicated development environment for SDP innovations. The QIL works to “rapidly conceptualizes and vets new, pivotal and industry-advancing capabilities that enrich the data center environment,” according to the report.

How? A team of tech experts, including data scientists, AI, ML, and visualization experts, and CTOs, work together to discuss and innovate how the data center addresses its current challenges.

Explore the full report, “Leading the Way in Data Center Transparency With Unrelenting Innovation,” in which QTS explores in detail how data centers are ripe for digital innovation, including this new lab environment. 

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Tagged With: Artificial Intelligence, Big Data, Colocation, machine learning, QTS

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